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Sample records for clinical chemo-resistance biomarker

  1. APRIL is a novel clinical chemo-resistance biomarker in colorectal adenocarcinoma identified by gene expression profiling

    International Nuclear Information System (INIS)

    5-Fluorouracil(5FU) and oral analogues, such as capecitabine, remain one of the most useful agents for the treatment of colorectal adenocarcinoma. Low toxicity and convenience of administration facilitate use, however clinical resistance is a major limitation. Investigation has failed to fully explain the molecular mechanisms of resistance and no clinically useful predictive biomarkers for 5FU resistance have been identified. We investigated the molecular mechanisms of clinical 5FU resistance in colorectal adenocarcinoma patients in a prospective biomarker discovery project utilising gene expression profiling. The aim was to identify novel 5FU resistance mechanisms and qualify these as candidate biomarkers and therapeutic targets. Putative treatment specific gene expression changes were identified in a transcriptomics study of rectal adenocarcinomas, biopsied and profiled before and after pre-operative short-course radiotherapy or 5FU based chemo-radiotherapy, using microarrays. Tumour from untreated controls at diagnosis and resection identified treatment-independent gene expression changes. Candidate 5FU chemo-resistant genes were identified by comparison of gene expression data sets from these clinical specimens with gene expression signatures from our previous studies of colorectal cancer cell lines, where parental and daughter lines resistant to 5FU were compared. A colorectal adenocarcinoma tissue microarray (n = 234, resected tumours) was used as an independent set to qualify candidates thus identified. APRIL/TNFSF13 mRNA was significantly upregulated following 5FU based concurrent chemo-radiotherapy and in 5FU resistant colorectal adenocarcinoma cell lines but not in radiotherapy alone treated colorectal adenocarcinomas. Consistent withAPRIL's known function as an autocrine or paracrine secreted molecule, stromal but not tumour cell protein expression by immunohistochemistry was correlated with poor prognosis (p = 0.019) in the independent set

  2. Severe hypoxia induces chemo-resistance in clinical cervical tumors through MVP over-expression

    International Nuclear Information System (INIS)

    Oxygen molecule modulates tumour response to radiotherapy. Higher radiation doses are required under hypoxic conditions to induce cell death. Hypoxia may inhibit the non-homologous end-joining DNA repair through down regulating Ku70/80 expression. Hypoxia induces drug resistance in clinical tumours, although the mechanism is not clearly elucidated. Vaults are ribonucleoprotein particles with a hollow barrel-like structure composed of three proteins: major vault protein (MVP), vault poly(ADP-ribose) polymerase, and telomerase associated protein-1 and small untranslated RNA. Over-expression of MVP has been associated with chemotherapy resistance. Also, it has been related to poor outcome in patients treated with radiotherapy alone. The aim of the present study was to assess the relation of Major Vault Protein expression and tumor hypoxia in clinical cervical tumors. MVP, p53 and angiogenesis, together with tumor oxygenation, were determined in forty-three consecutive patients suffering from localized cervix carcinoma. High MVP expression was related to severe hypoxia compared to low MVP expressing tumors (p = 0.022). Tumors over-expressing MVP also showed increased angiogenesis (p = 0.003). Besides it, in this study we show for the first time that severe tumor hypoxia is associated with high MVP expression in clinical cervical tumors. Up-regulation of MVP by hypoxia is of critical relevance as chemotherapy is currently a standard treatment for those patients. From our results it could be suggested that hypoxia not only induces increased genetic instability, oncogenic properties and metastatization, but through the correlation observed with MVP expression, another pathway of chemo and radiation resistance could be developed

  3. 耐药和复发性妊娠滋养细胞肿瘤的临床病例分析%Clinical analysis of patients with relapsed and chemo-resistant gestational trophoblastic neoplasia

    Institute of Scientific and Technical Information of China (English)

    周莹; 冯凤芝; 向阳; 万希润

    2010-01-01

    Objective To analyze and compare the clinical characteristics and the treatment outcome of the patients with chemo-resistant and relapsed gestational trophoblastic neoplasia (GTN).Methods The clinical records of the patients with refractory GTN treated at the Peking Union Medical College Hospital (PUMCH) from Jan 2005 to Dec 2007 were retrospectively reviewed.According to the reasons for referral, all cases were classified as chemo-resistant GTN group who had never a normal serum human chorionic gonadotropin-beta subunit (β-hCG) level during their previous treatment, relapsed GTN group who had elevated serum β-hCG levels in the absence of the pregnancy after finished treatment 3 months or more, and undetermined GTN group who had elevated serum β-hCG levels in the absence of the pregnancy less than 3 months after completed treatment.The clinical features and treatment outcomes were compared between undetermined GTN group and chemo-resistant GTN group and also between undetermined GTN group and relapsed GTN group, respectively.Results Of 81 patients with refractory GTN, 32 cases were defined as undetermined GTN, 38 cases as chemo-resistant GTN and 11 cases as relapsed GTN.The median number of previous chemotherapy regimens, the rate of serologic complete remission ( SCR), the patients who needed to change regimens due to resistance, and the patients who needed to change regimens in the undetermined GTN group and the chemo-resistant GTN group were 2.3 versus 3.1 ( P = 0.010),100% (32/32) versus 66% (25/38, P < 0.01 ), 22% (7/32) versus 58% (22/38, P = 0.002) and 28% (9/32) versus 63% (24/38, P = 0.003 ), respectively.No significant difference were observed between undetermined GTN group and relapsed GTN group in clinical features, previous and current treatment or treatment outcome ( all P >0.05 ).Conclusions In order to evaluate accurately the treatment outcome of refractory GTN, it seems more appropriate for the patients who had reached the normal value of

  4. Sulforaphane reverses chemo-resistance to temozolomide in glioblastoma cells by NF-κB-dependent pathway downregulating MGMT expression.

    Science.gov (United States)

    Lan, Fengming; Yang, Yang; Han, Jing; Wu, Qiaoli; Yu, Huiming; Yue, Xiao

    2016-02-01

    The survival benefits of patients with glioblastoma (GBM) remain unsatisfactory due to the intrinsic or acquired resistance to temozolomide (TMZ). We elucidated the mechanisms of sulforaphane (SFN) reverse TMZ resistance in TMZ-inducing cell lines by inhibiting nuclear factor-κB (NF-κB) transcriptional activity. TMZ-resistant cell lines (U87-R and U373-R) were generated by stepwise (6 months) exposure of parental cells to TMZ. Luciferase reporter assay, biochemical assays and subcutaneous tumor establishment were used to characterize the antitumor effect of SFN. MGMT expression and 50% inhibiting concentration (IC50) values of TMZ in GBM cell lines were assessed. Next, we established that U87-R and U373-R cells presenting high IC50 of TMZ, activated NF-κB transcription and significantly increased MGMT expression compared with untreated cells. Furthermore, we revealed that SFN could significantly suppress proliferation of TMZ-resistant GBM cells. In addition, SFN effectively inhibited activity of NF-κB signaling pathway and then reduced MGMT expression to reverse the chemo-resistance to TMZ in T98G, U87-R and U373-R cell lines. Sequential combination with TMZ synergistically inhibited survival capability and increased the induction of apoptosis in TMZ-resistant GBM cells. Finally, a nude mouse model was established with U373-R cell subcutaneous tumor-bearing mice, and results showed that SFN could remarkably suppress cell growth and enhance cell death in chemo-resistant xenografts in the nude mouse model. Collectively, the present study suggests that the clinical efficacy of TMZ-based chemotherapy in TMZ-resistant GBM may be improved by combination with SFN. PMID:26648123

  5. MUC5B silencing reduces chemo-resistance of MCF-7 breast tumor cells and impairs maturation of dendritic cells.

    Science.gov (United States)

    García, Enrique P; Tiscornia, Inés; Libisch, Gabriela; Trajtenberg, Felipe; Bollati-Fogolín, Mariela; Rodríguez, Ernesto; Noya, Verónica; Chiale, Carolina; Brossard, Natalie; Robello, Carlos; Santiñaque, Federico; Folle, Gustavo; Osinaga, Eduardo; Freire, Teresa

    2016-05-01

    Mucins participate in cancer progression by regulating cell growth, adhesion, signaling, apoptosis or chemo-resistance to drugs. The secreted mucin MUC5B, the major component of the respiratory tract mucus, is aberrantly expressed in breast cancer, where it could constitute a cancer biomarker. In this study we evaluated the role of MUC5B in breast cancer by gene silencing the MUC5B expression with short hairpin RNA on MCF-7 cells. We found that MUC5B-silenced MCF-7 cells have a reduced capacity to grow, adhere and form cell colonies. Interestingly, MUC5B knock-down increased the sensitivity to death induced by chemotherapeutic drugs. We also show that MUC5B silencing impaired LPS-maturation of DCs, and production of cytokines. Furthermore, MUC5B knock-down also influenced DC-differentiation and activation since it resulted in an upregulation of IL-1β, IL-6 and IL-10, cytokines that might be involved in cancer progression. Thus, MUC5B could enhance the production of LPS-induced cytokines, suggesting that the use of MUC5B-based cancer vaccines combined with DC-maturation stimuli, could favor the induction of an antitumor immune response.

  6. The use of biomarkers in clinical osteoporosis.

    Science.gov (United States)

    Cabral, Hebert Wilson Santos; Andolphi, Bruna Ferreira Galone; Ferreira, Brunna Vila Coutinho; Alves, Danielle Cristina Filgueira; Morelato, Renato Lírio; Chambo, Antônio; Borges, Lizânia Spinassé

    2016-07-01

    Osteoporosis is a disease of ascending character in the world population; in this context, bone biomarkers are being increasingly studied in order to aid in the diagnosis and monitoring of these patients. The main objective of this study was a literature review of articles whose main theme was the use of biomarkers for bone formation and degradation, and to evaluate their possible applicability in clinical practice. Literature review was performed through articles indexed and published in the last five years in the PubMed database. The findings of this study showed that most of the previously selected articles were published in the last two years, and the most cited markers were bone resorption, C-terminal collagen telopeptide (CTX), showing the highest correlation with the dynamics of bone, and the biomarker of bone formation, bone-specific alkaline phosphatase (BAP), which is increased in the event of fracture or may suggest another bone disease. There was an increase in published articles, associating different bone biomarkers and their clinical applicability, especially for treatment control. Our findings suggest that in recent years there has been significant increase in publications evaluating the use of bone turnover biomarkers for bone formation and resorption and their possible clinical applicability, especially in the monitoring of treatment. Still, we believe that further studies need to be conducted to confirm these findings, given the advantages that bone biomarkers can deliver in the clinical management of the disease.

  7. Doxorubicin Conjugated to Immunomodulatory Anticancer Lactoferrin Displays Improved Cytotoxicity Overcoming Prostate Cancer Chemo resistance and Inhibits Tumour Development in TRAMP Mice.

    Science.gov (United States)

    Shankaranarayanan, Jayanth Suryanarayanan; Kanwar, Jagat R; Al-Juhaishi, Afrah Jalil Abd; Kanwar, Rupinder K

    2016-01-01

    Advanced, metastatic, castration resistant and chemo-resistant prostate cancer has triggered change in the drug development landscape against prostate cancer. Bovine lactoferrin (bLf) is currently attracting attention in clinics for its anti-cancer properties and proven safety profile. bLf internalises into cancer cells via receptor mediated endocytosis, boosts immunity and complements chemotherapy. We employed bLf as an excellent functional carrier protein for delivering doxorubicin (Dox) into DU145 cells, CD44+/EpCAM+ double positive enriched DU145 3D prostaspheres and drug resistant ADR1000-DU145 cells, thus circumventing Dox efflux, to overcome chemo-resistance. Successful bLf-Dox conjugation with iron free or iron saturated bLf forms did not affect the integrity and functionality of bLf and Dox. bLf-Dox internalised into DU145 cells within 6 h, enhanced nuclear Dox retention up to 24 h, and proved significantly effective (p resistance. PMID:27576789

  8. Clinical Relevance of Biomarkers of Oxidative Stress

    DEFF Research Database (Denmark)

    Frijhoff, Jeroen; Winyard, Paul G; Zarkovic, Neven;

    2015-01-01

    acids. RECENT ADVANCES: An increased understanding of the biology behind diseases and redox biology has led to more specific and sensitive tools to measure oxidative stress markers, which are very diverse and sometimes very low in abundance. CRITICAL ISSUES: The literature is very heterogeneous...... using nonspecific methods, while specific methodologies are often too sophisticated or laborious for routine clinical use. FUTURE DIRECTIONS: Several markers of oxidative stress still represent a viable biomarker opportunity for clinical use. However, positive findings with currently used biomarkers...... still need to be validated in larger sample sizes and compared with current clinical standards to establish them as clinical diagnostics. It is important to realize that oxidative stress is a nuanced phenomenon that is difficult to characterize, and one biomarker is not necessarily better than others...

  9. Biomarkers in T cell therapy clinical trials

    Directory of Open Access Journals (Sweden)

    Kalos Michael

    2011-08-01

    Full Text Available Abstract T cell therapy represents an emerging and promising modality for the treatment of both infectious disease and cancer. Data from recent clinical trials have highlighted the potential for this therapeutic modality to effect potent anti-tumor activity. Biomarkers, operationally defined as biological parameters measured from patients that provide information about treatment impact, play a central role in the development of novel therapeutic agents. In the absence of information about primary clinical endpoints, biomarkers can provide critical insights that allow investigators to guide the clinical development of the candidate product. In the context of cell therapy trials, the definition of biomarkers can be extended to include a description of parameters of the cell product that are important for product bioactivity. This review will focus on biomarker studies as they relate to T cell therapy trials, and more specifically: i. An overview and description of categories and classes of biomarkers that are specifically relevant to T cell therapy trials, and ii. Insights into future directions and challenges for the appropriate development of biomarkers to evaluate both product bioactivity and treatment efficacy of T cell therapy trials.

  10. Clinical Biomarkers for Hypoxia Targeting

    OpenAIRE

    Le, Quynh-Thu; Courter, Don

    2008-01-01

    Tumor hypoxia or a reduction of the tissue oxygen tension is a key microenvironmental factor for tumor progression and treatment resistance in solid tumors. Because hypoxic tumor cells have been demonstrated to be more resistant to ionizing radiation, hypoxia has been a focus of laboratory and clinical research in radiation therapy for many decades. It is believed that proper detection of hypoxic regions would guide treatment options and ultimately improve tumor response. To date, most clinic...

  11. Dissecting the Syndrome of Schizophrenia: Progress toward Clinically Useful Biomarkers

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    Brian Dean

    2011-01-01

    Full Text Available The search for clinically useful biomarkers has been one of the holy grails of schizophrenia research. This paper will outline the evolving notion of biomarkers and then outline outcomes from a variety of biomarkers discovery strategies. In particular, the impact of high-throughput screening technologies on biomarker discovery will be highlighted and how new or improved technologies may allow the discovery of either diagnostic biomarkers for schizophrenia or biomarkers that will be useful in determining appropriate treatments for people with the disorder. History tells those involved in biomarker research that the discovery and validation of useful biomarkers is a long process and current progress must always be viewed in that light. However, the approval of the first biomarker screen with some value in predicting responsiveness to antipsychotic drugs suggests that biomarkers can be identified and that these biomarkers that will be useful in diagnosing and treating people with schizophrenia.

  12. Dissecting the Syndrome of Schizophrenia: Progress toward Clinically Useful Biomarkers.

    Science.gov (United States)

    Dean, Brian

    2011-01-01

    The search for clinically useful biomarkers has been one of the holy grails of schizophrenia research. This paper will outline the evolving notion of biomarkers and then outline outcomes from a variety of biomarkers discovery strategies. In particular, the impact of high-throughput screening technologies on biomarker discovery will be highlighted and how new or improved technologies may allow the discovery of either diagnostic biomarkers for schizophrenia or biomarkers that will be useful in determining appropriate treatments for people with the disorder. History tells those involved in biomarker research that the discovery and validation of useful biomarkers is a long process and current progress must always be viewed in that light. However, the approval of the first biomarker screen with some value in predicting responsiveness to antipsychotic drugs suggests that biomarkers can be identified and that these biomarkers that will be useful in diagnosing and treating people with schizophrenia.

  13. Translation of neurological biomarkers to clinically relevant platforms.

    Science.gov (United States)

    Hayes, Ronald L; Robinson, Gillian; Muller, Uwe; Wang, Kevin K W

    2009-01-01

    Like proteomics more generally, neuroproteomics has recently been linked to the discovery of biochemical markers of central nervous system (CNS) injury and disease. Although neuroproteomics has enjoyed considerable success in discovery of candidate biomarkers, there are a number of challenges facing investigators interested in developing clinically useful platforms to assess biomarkers for damage to the CNS. These challenges include intrinsic physiological complications such as the blood-brain barrier. Effective translation of biomarkers to clinical practice also requires development of entirely novel pathways and product development strategies. Drawing from lessons learned from applications of biomarkers to traumatic brain injury, this study outlines major elements of such a pathway. As with other indications, biomarkers can have three major areas of application: (1) drug development; (2) diagnosis and prognosis; (3) patient management. Translation of CNS biomarkers to practical clinical platforms raises a number of integrated elements. Biomarker discovery and initial selection needs to be integrated at the earliest stages with components that will allow systematic prioritization and triage of biomarker candidates. A number of important criteria need to be considered in selecting clinical biomarker candidates. Development of proof of concept assays and their optimization and validation represent an often overlooked feature of biomarker translational research. Initial assay optimization should confirm that assays can detect biomarkers in relevant clinical samples. Since access to human clinical samples is critical to identification of biomarkers relevant to injury and disease as well as for assay development, design of human clinical validation studies is an important component of translational biomarker research platforms. Although these clinical studies share much in common with clinical trials for assessment of drug therapeutic efficacy, there are a number of

  14. MicroRNA调控肿瘤耐药的研究进展%Advances in Tumor Chemo-resistance Regulated by MicroRNA

    Institute of Scientific and Technical Information of China (English)

    林高阳(综述); 徐克(审校)

    2014-01-01

    化学药物治疗(简称化疗)是目前治疗恶性肿瘤的主要手段之一,但肿瘤的多药耐药(multidurg resistance, MDR)是临床化疗失败的主要原因之一,然而肿瘤的耐药机制至今尚未被完全阐明。microRNA是近年来生命科学新的研究热点之一,microRNA通过在转录后水平调控基因表达而参与调控一系列的生命活动,包括细胞增殖、凋亡、脂肪代谢、神经元发育、激素分泌、肿瘤血管生成、干细胞分化、肿瘤细胞浸润及转移等多种生理和病理过程。最近的研究表明,microRNA对多基因表达的调控具有高效性和特异性,对靶基因的异常调控可能构成肿瘤耐药机制,是肿瘤耐药复杂性调控的重要构成部分。因此,对microRNA与肿瘤耐药性的研究具有现实意义。本文对近年来肿瘤耐药性的研究,microRNA调控肿瘤耐药机制及microRNA作为肿瘤耐药治疗潜在靶点作一综述。%Chemotherapy is one of the primary treatment for malignant tumors. Tumor multidrug resistance (MDR) is a major cause of clinical failure of chemotherapy;however the mechanisms of chemo-resistance have not been fully elucidated. Recently, microRNA is one of the new hotspots in life science. MicroRNA regulates the expression of genes and plays roles a series of life events by post-transcriptional regulations, including cell proliferation, apoptosis, fat metabolism, ner-vous development, hormone secretion, tumor vessels generation, stem cell differentiation, tumor cell invasion and metastasis, and other physiological and pathological processes. Recent studies show that microRNA regulates the expression of multiple genes with high efficiency and specificity. The abnormal regulation of target genes by microRNA is responsible for tumor chemo-resistance, this may be an important component of the complexity of the regulation of chemo-resistance. hTerefore, the study of microRNA and tumor drug resistance has

  15. Clinical studies of biomarkers in suicide prediction

    OpenAIRE

    Jokinen, Jussi

    2007-01-01

    Suicide is a major clinical problem in psychiatry and suicidal behaviours can be seen as a nosological entity per se. Predicting suicide is difficult due to its low base-rate and the limited specificity of clinical predictors. Prospective biological studies suggest that dysfunctions in the hypothalamo pituitary adrenal (HPA) axis and the serotonergic system have predictive power for suicide in mood disorders. Suicide attempt is the most robust clinical predictor making suici...

  16. Clinical utility of asthma biomarkers: from bench to bedside

    Directory of Open Access Journals (Sweden)

    Vijverberg SJH

    2013-08-01

    Full Text Available Susanne JH Vijverberg,1,2,* Bart Hilvering,2,* Jan AM Raaijmakers,1 Jan-Willem J Lammers,2 Anke-Hilse Maitland-van der Zee,1,* Leo Koenderman2,* 1Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands; 2Department of Respiratory Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands *These authors contributed equally to this work Abstract: Asthma is a chronic disease characterized by airway inflammation, bronchial hyperresponsiveness, and recurrent episodes of reversible airway obstruction. The disease is very heterogeneous in onset, course, and response to treatment, and seems to encompass a broad collection of heterogeneous disease subtypes with different underlying pathophysiological mechanisms. There is a strong need for easily interpreted clinical biomarkers to assess the nature and severity of the disease. Currently available biomarkers for clinical practice – for example markers in bronchial lavage, bronchial biopsies, sputum, or fraction of exhaled nitric oxide (FeNO – are limited due to invasiveness or lack of specificity. The assessment of markers in peripheral blood might be a good alternative to study airway inflammation more specifically, compared to FeNO, and in a less invasive manner, compared to bronchoalveolar lavage, biopsies, or sputum induction. In addition, promising novel biomarkers are discovered in the field of breath metabolomics (eg, volatile organic compounds and (pharmacogenomics. Biomarker research in asthma is increasingly shifting from the assessment of the value of single biomarkers to multidimensional approaches in which the clinical value of a combination of various markers is studied. This could eventually lead to the development of a clinically applicable algorithm composed of various markers and clinical features to phenotype asthma and improve diagnosis and asthma management

  17. Biomarkers in differentiating clinical dengue cases: A prospective cohort study

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    Gary Kim Kuan Low

    2015-12-01

    Full Text Available Objective: To evaluate five biomarkers (neopterin, vascular endothelial growth factor-A, thrombomodulin, soluble vascular cell adhesion molecule 1 and pentraxin 3 in differentiating clinical dengue cases. Methods: A prospective cohort study was conducted whereby the blood samples were obtained at day of presentation and the final diagnosis were obtained at the end of patients’ follow-up. All patients included in the study were 15 years old or older, not pregnant, not infected by dengue previously and did not have cancer, autoimmune or haematological disorder. Median test was performed to compare the biomarker levels. A subgroup Mann-Whitney U test was analysed between severe dengue and non-severe dengue cases. Monte Carlo method was used to estimate the 2-tailed probability (P value for independent variables with unequal number of patients. Results: All biomarkers except thrombomodulin has P value < 0.001 in differentiating among the healthy subjects, non-dengue fever, dengue without warning signs and dengue with warning signs/severe dengue. Subgroup analysis for all the biomarkers between severe dengue and non-severe dengue cases was not statistically significant except vascular endothelial growth factor-A (P < 0.05. Conclusions: Certain biomarkers were able to differentiate the clinical dengue cases. This could be potentially useful in classifying and determining the severity of dengue infected patients in the hospital.

  18. Analytical Aspects of the Implementation of Biomarkers in Clinical Transplantation.

    Science.gov (United States)

    Shipkova, Maria; López, Olga Millán; Picard, Nicolas; Noceti, Ofelia; Sommerer, Claudia; Christians, Uwe; Wieland, Eberhard

    2016-04-01

    In response to the urgent need for new reliable biomarkers to complement the guidance of the immunosuppressive therapy, a huge number of biomarker candidates to be implemented in clinical practice have been introduced to the transplant community. This includes a diverse range of molecules with very different molecular weights, chemical and physical properties, ex vivo stabilities, in vivo kinetic behaviors, and levels of similarity to other molecules, etc. In addition, a large body of different analytical techniques and assay protocols can be used to measure biomarkers. Sometimes, a complex software-based data evaluation is a prerequisite for appropriate interpretation of the results and for their reporting. Although some analytical procedures are of great value for research purposes, they may be too complex for implementation in a clinical setting. Whereas the proof of "fitness for purpose" is appropriate for validation of biomarker assays used in exploratory drug development studies, a higher level of analytical validation must be achieved and eventually advanced analytical performance might be necessary before diagnostic application in transplantation medicine. A high level of consistency of results between laboratories and between methods (if applicable) should be obtained and maintained to make biomarkers effective instruments in support of therapeutic decisions. This overview focuses on preanalytical and analytical aspects to be considered for the implementation of new biomarkers for adjusting immunosuppression in a clinical setting and highlights critical points to be addressed on the way to make them suitable as diagnostic tools. These include but are not limited to appropriate method validation, standardization, education, automation, and commercialization.

  19. A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics.

    Science.gov (United States)

    Mizzi, Clint; Dalabira, Eleni; Kumuthini, Judit; Dzimiri, Nduna; Balogh, Istvan; Başak, Nazli; Böhm, Ruwen; Borg, Joseph; Borgiani, Paola; Bozina, Nada; Bruckmueller, Henrike; Burzynska, Beata; Carracedo, Angel; Cascorbi, Ingolf; Deltas, Constantinos; Dolzan, Vita; Fenech, Anthony; Grech, Godfrey; Kasiulevicius, Vytautas; Kádaši, Ľudevít; Kučinskas, Vaidutis; Khusnutdinova, Elza; Loukas, Yiannis L; Macek, Milan; Makukh, Halyna; Mathijssen, Ron; Mitropoulos, Konstantinos; Mitropoulou, Christina; Novelli, Giuseppe; Papantoni, Ioanna; Pavlovic, Sonja; Saglio, Giuseppe; Setric, Jadranka; Stojiljkovic, Maja; Stubbs, Andrew P; Squassina, Alessio; Torres, Maria; Turnovec, Marek; van Schaik, Ron H; Voskarides, Konstantinos; Wakil, Salma M; Werk, Anneke; Del Zompo, Maria; Zukic, Branka; Katsila, Theodora; Lee, Ming Ta Michael; Motsinger-Rief, Alison; Mc Leod, Howard L; van der Spek, Peter J; Patrinos, George P

    2016-01-01

    Pharmacogenomics aims to correlate inter-individual differences of drug efficacy and/or toxicity with the underlying genetic composition, particularly in genes encoding for protein factors and enzymes involved in drug metabolism and transport. In several European populations, particularly in countries with lower income, information related to the prevalence of pharmacogenomic biomarkers is incomplete or lacking. Here, we have implemented the microattribution approach to assess the pharmacogenomic biomarkers allelic spectrum in 18 European populations, mostly from developing European countries, by analyzing 1,931 pharmacogenomics biomarkers in 231 genes. Our data show significant inter-population pharmacogenomic biomarker allele frequency differences, particularly in 7 clinically actionable pharmacogenomic biomarkers in 7 European populations, affecting drug efficacy and/or toxicity of 51 medication treatment modalities. These data also reflect on the differences observed in the prevalence of high-risk genotypes in these populations, as far as common markers in the CYP2C9, CYP2C19, CYP3A5, VKORC1, SLCO1B1 and TPMT pharmacogenes are concerned. Also, our data demonstrate notable differences in predicted genotype-based warfarin dosing among these populations. Our findings can be exploited not only to develop guidelines for medical prioritization, but most importantly to facilitate integration of pharmacogenomics and to support pre-emptive pharmacogenomic testing. This may subsequently contribute towards significant cost-savings in the overall healthcare expenditure in the participating countries, where pharmacogenomics implementation proves to be cost-effective. PMID:27636550

  20. A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics

    Science.gov (United States)

    Mizzi, Clint; Dalabira, Eleni; Kumuthini, Judit; Dzimiri, Nduna; Balogh, Istvan; Başak, Nazli; Böhm, Ruwen; Borg, Joseph; Borgiani, Paola; Bozina, Nada; Bruckmueller, Henrike; Burzynska, Beata; Carracedo, Angel; Cascorbi, Ingolf; Deltas, Constantinos; Dolzan, Vita; Fenech, Anthony; Grech, Godfrey; Kasiulevicius, Vytautas; Kádaši, Ľudevít; Kučinskas, Vaidutis; Khusnutdinova, Elza; Loukas, Yiannis L.; Macek, Milan; Makukh, Halyna; Mathijssen, Ron; Mitropoulos, Konstantinos; Mitropoulou, Christina; Novelli, Giuseppe; Papantoni, Ioanna; Pavlovic, Sonja; Saglio, Giuseppe; Setric, Jadranka; Stojiljkovic, Maja; Stubbs, Andrew P.; Squassina, Alessio; Torres, Maria; Turnovec, Marek; van Schaik, Ron H.; Voskarides, Konstantinos; Wakil, Salma M.; Werk, Anneke; del Zompo, Maria; Zukic, Branka; Katsila, Theodora; Lee, Ming Ta Michael; Motsinger-Rief, Alison; Mc Leod, Howard L.; van der Spek, Peter J.; Patrinos, George P.

    2016-01-01

    Pharmacogenomics aims to correlate inter-individual differences of drug efficacy and/or toxicity with the underlying genetic composition, particularly in genes encoding for protein factors and enzymes involved in drug metabolism and transport. In several European populations, particularly in countries with lower income, information related to the prevalence of pharmacogenomic biomarkers is incomplete or lacking. Here, we have implemented the microattribution approach to assess the pharmacogenomic biomarkers allelic spectrum in 18 European populations, mostly from developing European countries, by analyzing 1,931 pharmacogenomics biomarkers in 231 genes. Our data show significant inter-population pharmacogenomic biomarker allele frequency differences, particularly in 7 clinically actionable pharmacogenomic biomarkers in 7 European populations, affecting drug efficacy and/or toxicity of 51 medication treatment modalities. These data also reflect on the differences observed in the prevalence of high-risk genotypes in these populations, as far as common markers in the CYP2C9, CYP2C19, CYP3A5, VKORC1, SLCO1B1 and TPMT pharmacogenes are concerned. Also, our data demonstrate notable differences in predicted genotype-based warfarin dosing among these populations. Our findings can be exploited not only to develop guidelines for medical prioritization, but most importantly to facilitate integration of pharmacogenomics and to support pre-emptive pharmacogenomic testing. This may subsequently contribute towards significant cost-savings in the overall healthcare expenditure in the participating countries, where pharmacogenomics implementation proves to be cost-effective. PMID:27636550

  1. Variability of CSF Alzheimer's disease biomarkers: implications for clinical practice.

    Directory of Open Access Journals (Sweden)

    Stephanie J B Vos

    Full Text Available BACKGROUND: Cerebrospinal fluid (CSF biomarkers are increasingly being used for diagnosis of Alzheimer's disease (AD. OBJECTIVE: We investigated the influence of CSF intralaboratory and interlaboratory variability on diagnostic CSF-based AD classification of subjects and identified causes of this variation. METHODS: We measured CSF amyloid-β (Aβ 1-42, total tau (t-tau, and phosphorylated tau (p-tau by INNOTEST enzyme-linked-immunosorbent assays (ELISA in a memory clinic population (n = 126. Samples were measured twice in a single or two laboratories that served as reference labs for CSF analyses in the Netherlands. Predefined cut-offs were used to classify CSF biomarkers as normal or abnormal/AD pattern. RESULTS: CSF intralaboratory variability was higher for Aβ1-42 than for t-tau and p-tau. Reanalysis led to a change in biomarker classification (normal vs. abnormal of 26% of the subjects based on Aβ1-42, 10% based on t-tau, and 29% based on p-tau. The changes in absolute biomarker concentrations were paralleled by a similar change in levels of internal control samples between different assay lots. CSF interlaboratory variability was higher for p-tau than for Aβ1-42 and t-tau, and reanalysis led to a change in biomarker classification of 12% of the subjects based on Aβ1-42, 1% based on t-tau, and 22% based on p-tau. CONCLUSIONS: Intralaboratory and interlaboratory CSF variability frequently led to change in diagnostic CSF-based AD classification for Aβ1-42 and p-tau. Lot-to-lot variation was a major cause of intralaboratory variability. This will have implications for the use of these biomarkers in clinical practice.

  2. Clinical utility of diagnostic guidelines and putative biomarkers in lymphangioleiomyomatosis

    Directory of Open Access Journals (Sweden)

    Chang William YC

    2012-04-01

    Full Text Available Abstract Background Lymphangioleiomyomatosis is a rare disease occurring almost exclusively in women. Diagnosis often requires surgical biopsy and the clinical course varies between patients with no predictors of progression. We evaluated recent diagnostic guidelines, clinical features and serum biomarkers as diagnostic and prognostic tools. Methods Serum vascular endothelial growth factor-D (VEGF-D, angiotensin converting enzyme (ACE, matrix metalloproteinases (MMP -2 and -9, clinical phenotype, thoracic and abdominal computerised tomography, lung function and quality of life were examined in a cohort of 58 patients. 32 healthy female controls had serum biomarkers measured. Results Serum VEGF-D, ACE and total MMP-2 levels were elevated in patients. VEGF-D was the strongest discriminator between patients and controls (median = 1174 vs. 332 pg/ml p  Conclusions Combining ERS criteria and serum VEGF-D reduces the need for lung biopsy in LAM. VEGF-D was associated with lymphatic disease but not lung function.

  3. Translating colorectal cancer genetics into clinically useful biomarkers.

    Science.gov (United States)

    Morley-Bunker, A; Walker, L C; Currie, M J; Pearson, J; Eglinton, T

    2016-08-01

    Colorectal cancer (CRC) is a major health problem worldwide accounting for over a million deaths annually. While many patients with Stage II and III CRC can be cured with combinations of surgery, radiotherapy and chemotherapy, this is morbid costly treatment and a significant proportion will suffer recurrence and eventually die of CRC. Increased understanding of the molecular pathogenesis of CRC has the potential to identify high risk patients and target therapy more appropriately. Despite increased understanding of the molecular events underlying CRC development, established molecular techniques have only produced a limited number of biomarkers suitable for use in routine clinical practice to predict risk, prognosis and response to treatment. Recent rapid technological developments, however, have made genomic sequencing of CRC more economical and efficient, creating potential for the discovery of genetic biomarkers that have greater diagnostic, prognostic and therapeutic capabilities for the management of CRC. This paper reviews the current understanding of the molecular pathogenesis of CRC, and summarizes molecular biomarkers that surgeons will encounter in current clinical use as well as those under development in clinical and preclinical trials. New molecular technologies are reviewed together with their potential impact on the understanding of the molecular pathogenesis of CRC and their potential clinical utility in classification, diagnosis, prognosis and targeting of therapy. PMID:26990814

  4. Potential biomarkers for the clinical prognosis of severe dengue

    Directory of Open Access Journals (Sweden)

    Mayara Marques Carneiro da Silva

    2013-09-01

    Full Text Available Currently, several assays can confirm acute dengue infection at the point-of-care. However, none of these assays can predict the severity of the disease symptoms. A prognosis test that predicts the likelihood of a dengue patient to develop a severe form of the disease could permit more efficient patient triage and treatment. We hypothesise that mRNA expression of apoptosis and innate immune response-related genes will be differentially regulated during the early stages of dengue and might predict the clinical outcome. Aiming to identify biomarkers for dengue prognosis, we extracted mRNA from the peripheral blood mononuclear cells of mild and severe dengue patients during the febrile stage of the disease to measure the expression levels of selected genes by quantitative polymerase chain reaction. The selected candidate biomarkers were previously identified by our group as differentially expressed in microarray studies. We verified that the mRNA coding for CFD, MAGED1, PSMB9, PRDX4 and FCGR3B were differentially expressed between patients who developed clinical symptoms associated with the mild type of dengue and patients who showed clinical symptoms associated with severe dengue. We suggest that this gene expression panel could putatively serve as biomarkers for the clinical prognosis of dengue haemorrhagic fever.

  5. MicroRNA signatures as clinical biomarkers in lung cancer

    Directory of Open Access Journals (Sweden)

    Markou A

    2015-05-01

    Full Text Available Athina Markou, Martha Zavridou, Evi S Lianidou Analysis of Circulating Tumor Cells, Lab of Analytical Chemistry, Department of Chemistry, University of Athens, Athens, Greece Abstract: Even if early lung cancer detection has been recently significantly improved, the invasive nature of current diagnostic procedures, and a relatively high percentage of false positives, is limiting the application of modern detection tools. The discovery and clinical evaluation of novel specific and robust non-invasive biomarkers for diagnosis of lung cancer at an early stage, as well as for better prognosis and prediction of therapy response, is very challenging. MicroRNAs (miRNAs can play an important role in the diagnosis and management of lung cancer patients, as important and reliable biomarkers for cancer detection and prognostic prediction, and even as promising as novel targets for cancer therapy. miRNAs are important in cancer pathogenesis, and deregulation of their expression levels has been detected not only in lung cancer but in many other human tumor types. Numerous studies strongly support the potential of miRNAs as biomarkers in non-small-cell lung cancer, and there is increasing evidence that altered miRNA expression is associated with tumor progression and survival. It is worth mentioning also that detection of miRNAs circulating in plasma or serum has enormous potential, because miRNAs serve as non-invasive biomarkers not only for the diagnosis and prognosis of the disease, but also as novel response and sensitivity predictors for cancer treatment. In this review, we summarize the current findings on the critical role of miRNAs in lung cancer tumorigenesis and highlight their potential as circulating biomarkers in lung cancer. Our review is based on papers that have been published after 2011, and includes the key words “miRNAs” and “lung cancer”. Keywords: non-small-cell lung carcinoma, miRNAs, tumor biomarkers, circulating miRNAs, liquid

  6. Lipidomics applications for discovering biomarkers of diseases in clinical chemistry.

    Science.gov (United States)

    Zhao, Ying-Yong; Cheng, Xian-long; Lin, Rui-Chao

    2014-01-01

    Lipids are the fundamental components of biological membranes as well as the metabolites of organisms. Lipids play diverse and important roles in biologicals. The lipid imbalance is closely associated with numerous human lifestyle-related diseases, such as atherosclerosis, obesity, diabetes, and Alzheimer's disease. Lipidomics or lipid profiling is a system-based study of all lipids aiming at comprehensive analysis of lipids in the biological system. Lipidomics has been accepted as a lipid-related research tool in lipid biochemistry, clinical biomarker discovery, disease diagnosis, and in understanding disease pathology. Lipidomics will not only provide insights into the specific functions of lipid species in health and disease, but will also identify potential biomarkers for establishing preventive or therapeutic programs for human diseases. This review presents an overview of lipidomics followed by in-depth discussion of its application to the study of human diseases, including extraction methods of lipids, analytical technologies, data analysis, and clinical research in cancer, neuropsychiatric disease, cardiovascular disease, kidney disease, and respiratory disease. We describe the current status of the identification of metabolic biomarkers in different diseases. We also discuss the lipidomics for the future perspectives and their potential problems. The application of lipidomics in clinical studies may provide new insights into lipid profiling and pathophysiological mechanisms.

  7. Intratumour variation of biomarker expression by immunohistochemistry in resectable non-small cell lung cancer

    DEFF Research Database (Denmark)

    Jakobsen, Jan Nyrop; Santoni-Rugiu, Eric; Ravn, Jesper;

    2013-01-01

    BACKGROUND: Prognostic and predictive biomarkers are increasingly used to customise the treatment of patients with solid tumours. Intra- and inter-tumour heterogeneous distribution of biomarker expression is a potential confounder for the use of biomarkers, as small biopsies may not necessarily...... truly reflect the pattern of biomarker expression. It may also be an important factor in chemo resistance, as tumours with heterogeneous biomarker expression may potentially harbour chemo resistant tumour clones. MATERIALS AND METHODS: Immunohistochemical evaluation of the expression of excision repair...... cross complementation group 1 (ERCC1), epidermal growth factor receptor (EGFR), class III-β-tubulin (TUBB-3), thymidylate synthase (TS), Ki-67 and ribonucleotide reductase M1 (RRM1) was performed in 15 separate areas in each of six small microscopically completely resected adenocarcinomas of the lung...

  8. Biomarkers in Clinical Trials--SMi Conference. 23-24 September 2009, London, UK.

    Science.gov (United States)

    Walker, Glenda

    2009-11-01

    The Biomarkers in Clinical Trials conference, held in London, included topics covering new developments in the field of biomarkers. This conference report highlights selected presentations on the definition of biomarkers, the use of biomarkers to support decisions in drug development and to improve treatment outcomes, and the aims of the Biomarkers Consortium. A case study of the investigational drug selumetinib (AstraZeneca plc) is also discussed.

  9. Usability of cerebrospinal fluid biomarkers in a tertiary memory clinic

    DEFF Research Database (Denmark)

    Brandt, C.; Bahl, J.C.; Heegaard, N.H.;

    2008-01-01

    AIM: Assays for cerebrospinal fluid (CSF) levels of total tau, phospho-tau protein and beta-amyloid 1-42 have been available for some years. The aim of the study was to assess the usability of these biomarkers in a mixed population of tertiary dementia referral patients in a university-based memory...... clinic. METHODS: 147 consecutive patients with a lumbar puncture as a part of their clinical workup were studied. A retrospective diagnosis was established based on consensus criteria without the knowledge of the CSF results. RESULTS: When diagnosing Alzheimer's disease (AD) compared to other diagnoses...

  10. Mir-34a mimics are potential therapeutic agents for p53-mutated and chemo-resistant brain tumour cells.

    Directory of Open Access Journals (Sweden)

    Yuen Ngan Fan

    Full Text Available Chemotherapeutic drug resistance and relapse remains a major challenge for paediatric (medulloblastoma and adult (glioblastoma brain tumour treatment. Medulloblastoma tumours and cell lines with mutations in the p53 signalling pathway have been shown to be specifically insensitive to DNA damaging agents. The aim of this study was to investigate the potential of triggering cell death in p53 mutated medulloblastoma cells by a direct activation of pro-death signalling downstream of p53 activation. Since non-coding microRNAs (miRNAs have the ability to fine tune the expression of a variety of target genes, orchestrating multiple downstream effects, we hypothesised that triggering the expression of a p53 target miRNA could induce cell death in chemo-resistant cells. Treatment with etoposide, increased miR-34a levels in a p53-dependent fashion and the level of miR-34a transcription was correlated with the cell sensitivity to etoposide. miR-34a activity was validated by measuring the expression levels of one of its well described target: the NADH dependent sirtuin1 (SIRT1. Whilst drugs directly targeting SIRT1, were potent to trigger cell death at high concentrations only, introduction of synthetic miR-34a mimics was able to induce cell death in p53 mutated medulloblastoma and glioblastoma cell lines. Our results show that the need of a functional p53 signaling pathway can be bypassed by direct activation of miR-34a in brain tumour cells.

  11. Assessing Therapeutic Potential of Magnetic Mesoporous Nanoassemblies for Chemo-Resistant Tumors

    Science.gov (United States)

    Pradhan, Lina; Thakur, Bhushan; Srivastava, Rohit; Ray, Pritha; Bahadur, Dhirendra

    2016-01-01

    Smart drug delivery system with strategic drug distribution is the future state-of-the-art treatment for any malignancy. To investigate therapeutic potential of such nanoparticle mediated delivery system, we examined the efficacy of dual drug-loaded, pH and thermo liable lipid coated mesoporous iron oxide-based magnetic nanoassemblies (DOX:TXL-LMMNA) in mice bearing both drug sensitive (A2780S) and drug resistant (A2780-CisR) ovarian cancer tumor xenografts. In presence of an external AC magnetic field (ACMF), DOX:TXL-LMMNA particles disintegrate to release encapsulated drug due to hyperthermic temperatures (41-45 ºC). In vivo bio distribution study utilizing the optical and magnetic properties of DOX:TXL-LMMNA particles demonstrated minimum organ specific toxicity. Noninvasive bioluminescence imaging of mice bearing A2780S tumors and administered with DOX-TXL-LMMNA followed by the application of ACMF revealed 65% less luminescence signal and 80% mice showed complete tumor regression within eight days. A six months follow-up study revealed absence of relapse in 70% of the mice. Interestingly, the A2780-CisR tumors which did not respond to drug alone (DOX:TXL) showed 80% reduction in luminescence and tumor volume with DOX:TXL-LMMNA after thermo-chemotherapy within eight days. Cytotoxic effect of DOX:TXL-LMMNA particles was more pronounced in A2780-CisR cells than in their sensitive counterpart. Thus these novel stimuli sensitive nanoassemblies hold great promise for therapy resistant malignancies and future clinical applications. PMID:27446490

  12. Assessing Therapeutic Potential of Magnetic Mesoporous Nanoassemblies for Chemo-Resistant Tumors.

    Science.gov (United States)

    Pradhan, Lina; Thakur, Bhushan; Srivastava, Rohit; Ray, Pritha; Bahadur, Dhirendra

    2016-01-01

    Smart drug delivery system with strategic drug distribution is the future state-of-the-art treatment for any malignancy. To investigate therapeutic potential of such nanoparticle mediated delivery system, we examined the efficacy of dual drug-loaded, pH and thermo liable lipid coated mesoporous iron oxide-based magnetic nanoassemblies (DOX:TXL-LMMNA) in mice bearing both drug sensitive (A2780(S)) and drug resistant (A2780-CisR) ovarian cancer tumor xenografts. In presence of an external AC magnetic field (ACMF), DOX:TXL-LMMNA particles disintegrate to release encapsulated drug due to hyperthermic temperatures (41-45 ºC). In vivo bio distribution study utilizing the optical and magnetic properties of DOX:TXL-LMMNA particles demonstrated minimum organ specific toxicity. Noninvasive bioluminescence imaging of mice bearing A2780(S) tumors and administered with DOX-TXL-LMMNA followed by the application of ACMF revealed 65% less luminescence signal and 80% mice showed complete tumor regression within eight days. A six months follow-up study revealed absence of relapse in 70% of the mice. Interestingly, the A2780-CisR tumors which did not respond to drug alone (DOX:TXL) showed 80% reduction in luminescence and tumor volume with DOX:TXL-LMMNA after thermo-chemotherapy within eight days. Cytotoxic effect of DOX:TXL-LMMNA particles was more pronounced in A2780-CisR cells than in their sensitive counterpart. Thus these novel stimuli sensitive nanoassemblies hold great promise for therapy resistant malignancies and future clinical applications. PMID:27446490

  13. Harnessing Cerebrospinal Fluid Biomarkers in Clinical Trials for Treating Alzheimer's and Parkinson's Diseases: Potential and Challenges

    Science.gov (United States)

    Kim, Dana; Kim, Young-Sam; Shin, Dong Wun; Park, Chang-Shin

    2016-01-01

    No disease-modifying therapies (DMT) for neurodegenerative diseases (NDs) have been established, particularly for Alzheimer's disease (AD) and Parkinson's disease (PD). It is unclear why candidate drugs that successfully demonstrate therapeutic effects in animal models fail to show disease-modifying effects in clinical trials. To overcome this hurdle, patients with homogeneous pathologies should be detected as early as possible. The early detection of AD patients using sufficiently tested biomarkers could demonstrate the potential usefulness of combining biomarkers with clinical measures as a diagnostic tool. Cerebrospinal fluid (CSF) biomarkers for NDs are being incorporated in clinical trials designed with the aim of detecting patients earlier, evaluating target engagement, collecting homogeneous patients, facilitating prevention trials, and testing the potential of surrogate markers relative to clinical measures. In this review we summarize the latest information on CSF biomarkers in NDs, particularly AD and PD, and their use in clinical trials. The large number of issues related to CSF biomarker measurements and applications has resulted in relatively few clinical trials on CSF biomarkers being conducted. However, the available CSF biomarker data obtained in clinical trials support the advantages of incorporating CSF biomarkers in clinical trials, even though the data have mostly been obtained in AD trials. We describe the current issues with and ongoing efforts for the use of CSF biomarkers in clinical trials and the plans to harness CSF biomarkers for the development of DMT and clinical routines. This effort requires nationwide, global, and multidisciplinary efforts in academia, industry, and regulatory agencies to facilitate a new era.

  14. Clinical correlates of change in inflammatory biomarkers : The Framingham Heart Study

    NARCIS (Netherlands)

    Fontes, Joao D; Yamamoto, Jennifer F; Larson, Martin G; Wang, Na; Dallmeier, Dhayana; Rienstra, Michiel; Schnabel, Renate B; Vasan, Ramachandran S; Keaney, John F; Benjamin, Emelia J

    2013-01-01

    Objectives: Traditional clinical risk factors are associated with inflammation cross-sectionally, but associations of longitudinal variation in inflammatory biomarkers with corresponding changes in clinical risk factors are incompletely described. We sought to analyze clinical factors associated wit

  15. Tolerance in liver transplantation: Biomarkers and clinical relevance

    Science.gov (United States)

    Baroja-Mazo, Alberto; Revilla-Nuin, Beatriz; Parrilla, Pascual; Martínez-Alarcón, Laura; Ramírez, Pablo; Pons, José Antonio

    2016-01-01

    Transplantation is the optimal treatment for end-stage organ failure, and modern immunosuppression has allowed important progress in short-term outcomes. However, immunosuppression poorly influences chronic rejection and elicits chronic toxicity in current clinical practice. Thus, a major goal in transplantation is to understand and induce tolerance. It is well established that human regulatory T cells expressing the transcription factor FoxP3 play important roles in the maintenance of immunological self-tolerance and immune homeostasis. The major regulatory T cell subsets and mechanisms of expansion that are critical for induction and long-term maintenance of graft tolerance and survival are being actively investigated. Likewise, other immune cells, such as dendritic cells, monocyte/macrophages or natural killer cells, have been described as part of the process known as “operational tolerance”. However, translation of these results towards clinical practice needs solid tools to identify accurately and reliably patients who are going to be tolerant. In this way, a plethora of genetic and cellular biomarkers is raising and being validated worldwide in large multi-center clinical trials. Few of the studies performed so far have provided a detailed analysis of the impact of immunosuppression withdrawal on pre-existing complications derived from the long-term administration of immunosuppressive drugs and the side effects associated with them. The future of liver transplantation is aimed to develop new therapies which increase the actual low tolerant vs non-tolerant recipients ratio. PMID:27678350

  16. A combined clinical and biomarker approach to predict diuretic response in acute heart failure

    NARCIS (Netherlands)

    Ter Maaten, Jozine M; Valente, Mattia A E; Metra, Marco; Bruno, Noemi; O'Connor, Christopher M; Ponikowski, Piotr; Teerlink, John R; Cotter, Gad; Davison, Beth; Cleland, John G; Givertz, Michael M; Bloomfield, Daniel M; Dittrich, Howard C; van Veldhuisen, Dirk J; Hillege, Hans L; Damman, Kevin; Voors, Adriaan A

    2015-01-01

    BACKGROUND: Poor diuretic response in acute heart failure is related to poor clinical outcome. The underlying mechanisms and pathophysiology behind diuretic resistance are incompletely understood. We evaluated a combined approach using clinical characteristics and biomarkers to predict diuretic resp

  17. New evidence-based adaptive clinical trial methods for optimally integrating predictive biomarkers into oncology clinical development programs

    Institute of Scientific and Technical Information of China (English)

    Robert A.Beckman; Cong Chen

    2013-01-01

    Predictive biomarkers are important to the future of oncology; they can be used to identify patient populations who will benefit from therapy,increase the value of cancer medicines,and decrease the size and cost of clinical trials while increasing their chance of success.But predictive biomarkers do not always work.When unsuccessful,they add cost,complexity,and time to drug development.This perspective describes phases 2 and 3 development methods that efficiently and adaptively check the ability of a biomarker to predict clinical outcomes.In the end,the biomarker is emphasized to the extent that it can actually predict.

  18. Prognostic clinical and molecular biomarkers of renal disease in type 2 diabetes

    DEFF Research Database (Denmark)

    Pena, Michelle J; de Zeeuw, Dick; Mischak, Harald;

    2015-01-01

    biomarker panels are thus required. There is also a paucity of studies that assess the effect of treatments on novel biomarker panels and determine whether initial treatment-induced changes in novel biomarkers predict changes in long-term renal outcomes. Such studies can not only improve our healthcare but......Diabetic kidney disease occurs in ∼ 25-40% of patients with type 2 diabetes. Given the high risk of progressive renal function loss and end-stage renal disease, early identification of patients with a renal risk is important. Novel biomarkers may aid in improving renal risk stratification. In this...... metabolomics biomarkers. We focus on multiple biomarker panels since the molecular processes of renal disease progression in type 2 diabetes are heterogeneous, rendering it unlikely that a single biomarker significantly adds to clinical risk prediction. A limited number of prospective studies of multiple...

  19. Nanomaterial-Based Electrochemical Immunosensors for Clinically Significant Biomarkers

    Directory of Open Access Journals (Sweden)

    Niina J. Ronkainen

    2014-06-01

    Full Text Available Nanotechnology has played a crucial role in the development of biosensors over the past decade. The development, testing, optimization, and validation of new biosensors has become a highly interdisciplinary effort involving experts in chemistry, biology, physics, engineering, and medicine. The sensitivity, the specificity and the reproducibility of biosensors have improved tremendously as a result of incorporating nanomaterials in their design. In general, nanomaterials-based electrochemical immunosensors amplify the sensitivity by facilitating greater loading of the larger sensing surface with biorecognition molecules as well as improving the electrochemical properties of the transducer. The most common types of nanomaterials and their properties will be described. In addition, the utilization of nanomaterials in immunosensors for biomarker detection will be discussed since these biosensors have enormous potential for a myriad of clinical uses. Electrochemical immunosensors provide a specific and simple analytical alternative as evidenced by their brief analysis times, inexpensive instrumentation, lower assay cost as well as good portability and amenability to miniaturization. The role nanomaterials play in biosensors, their ability to improve detection capabilities in low concentration analytes yielding clinically useful data and their impact on other biosensor performance properties will be discussed. Finally, the most common types of electroanalytical detection methods will be briefly touched upon.

  20. Biomarkers of treatment outcome in schizophrenia: Defining a benchmark for clinical significance.

    Science.gov (United States)

    Levine, Stephen Z; Rabinowitz, Jonathan; Uher, Rudolf; Kapur, Shitij

    2015-10-01

    Emerging data from on imaging and genetic studies have generated interest in "clinically significant" biomarkers to predict response and prognosis. What constitutes "clinical significance" and how a biomarker would reach that threshold are unclear. To develop a benchmark we reviewed different approaches for defining "clinical significance" applied in schizophrenia research and identified that an improvement of 15 points on the PANSS Total is considered meaningful in clinical settings. Using this benchmark and we simulated thousands of schizophrenia trials, using characteristics derived from the NEWMEDS database with over 8000 patients with schizophrenia, to the kind of imaging, genetic, and other biomarkers that could attain clinical significance. We plotted the interaction between frequency-of-occurrence, the effect size of biomarkers and their relationship to the clinical significance threshold. Results show that categorical biomarkers are likely to attain clinical significance when they occur in 20-50% of the clinical population, and can predict at least a 8-10 point PANSS scale difference. Genetic markers are likely to have clinical significance when they occur in 20-50% of the population and can predict 7-9 points on the PANSS scale. A marker with a lower frequency or lesser effect size would find it hard to meet clinical significance thresholds for schizophrenia. The assumptions and limitations of this approach are discussed. Compared with standards in the rest of medicine, biomarkers that can attain this benchmark will be cost-effective and are likely to be adopted by clinical systems. PMID:26145487

  1. Biomarkers of treatment outcome in schizophrenia: Defining a benchmark for clinical significance.

    Science.gov (United States)

    Levine, Stephen Z; Rabinowitz, Jonathan; Uher, Rudolf; Kapur, Shitij

    2015-10-01

    Emerging data from on imaging and genetic studies have generated interest in "clinically significant" biomarkers to predict response and prognosis. What constitutes "clinical significance" and how a biomarker would reach that threshold are unclear. To develop a benchmark we reviewed different approaches for defining "clinical significance" applied in schizophrenia research and identified that an improvement of 15 points on the PANSS Total is considered meaningful in clinical settings. Using this benchmark and we simulated thousands of schizophrenia trials, using characteristics derived from the NEWMEDS database with over 8000 patients with schizophrenia, to the kind of imaging, genetic, and other biomarkers that could attain clinical significance. We plotted the interaction between frequency-of-occurrence, the effect size of biomarkers and their relationship to the clinical significance threshold. Results show that categorical biomarkers are likely to attain clinical significance when they occur in 20-50% of the clinical population, and can predict at least a 8-10 point PANSS scale difference. Genetic markers are likely to have clinical significance when they occur in 20-50% of the population and can predict 7-9 points on the PANSS scale. A marker with a lower frequency or lesser effect size would find it hard to meet clinical significance thresholds for schizophrenia. The assumptions and limitations of this approach are discussed. Compared with standards in the rest of medicine, biomarkers that can attain this benchmark will be cost-effective and are likely to be adopted by clinical systems.

  2. Biomarkers of oral premalignant epithelial lesions for clinical application.

    Science.gov (United States)

    Mishra, Rajakishore

    2012-07-01

    Oral cancer is the sixth most common form of cancer worldwide, and the majority of cases occur in India and Southeast Asia. Its major risk factors in the western world include smoking and drinking alcohol, whereas in Asia, it is primarily caused by tobacco/areca nut/betel leaf chewing and/or human papillomavirus (HPV) infections. Little is known about this type of cancer despite recent advances in cancer biology. The generally asymptomatic nature of the early oral lesions causes them to remain undetected in many cases. Thus, the disease progresses substantially before the patients seek treatment and is a major contributing factor to the severity of this disease. Therefore, there is a great need to create awareness for its prevention and early diagnosis. The application of advanced molecular biological and biochemical methodologies to elucidate its biomarkers may aid in early detection; however, much more work must be done for this information to be effectively applied in the clinical setting. This review focuses on the need for systematic diagnoses in the early detection of oral cancer using molecular and biochemical approaches, thereby reducing the number of advanced cases in the chewing tobacco-dominated oral cancer population. PMID:22342569

  3. Clinical use of novel biomarkers in heart failure : towards personalized medicine

    NARCIS (Netherlands)

    Schmitter, Daniela; Cotter, Gadi; Voors, Adriaan A.

    2014-01-01

    Biomarkers play an important role in heart failure. They provide us information about the mechanisms involved in specific types of heart failure and can identify patients at higher risk. Although the majority of biomarker studies in heart failure focus on their prognostic value, the clinical applica

  4. Odor identification and Alzheimer disease biomarkers in clinically normal elderly

    Science.gov (United States)

    Growdon, Matthew E.; Schultz, Aaron P.; Dagley, Alexander S.; Amariglio, Rebecca E.; Hedden, Trey; Rentz, Dorene M.; Johnson, Keith A.; Sperling, Reisa A.; Albers, Mark W.

    2015-01-01

    Objectives: Our objective was to investigate cross-sectional associations between odor identification ability and imaging biomarkers of neurodegeneration and amyloid deposition in clinically normal (CN) elderly individuals, specifically testing the hypothesis that there may be an interaction between amyloid deposition and neurodegeneration in predicting odor identification dysfunction. Methods: Data were collected on 215 CN participants from the Harvard Aging Brain Study. Measurements included the 40-item University of Pennsylvania Smell Identification Test and neuropsychological testing, hippocampal volume (HV) and entorhinal cortex (EC) thickness from MRI, and amyloid burden using Pittsburgh compound B (PiB) PET. A linear regression model with backward elimination (p < 0.05 retention) evaluated the cross-sectional association between the University of Pennsylvania Smell Identification Test and amyloid burden, HV, and EC thickness, assessing for effect modification by PiB status. Covariates included age, sex, premorbid intelligence, APOE ε4 carrier status, and Boston Naming Test. Results: In unadjusted univariate analyses, worse olfaction was associated with decreased HV (p < 0.001), thinner EC (p = 0.003), worse episodic memory (p = 0.03), and marginally associated with greater amyloid burden (binary PiB status, p = 0.06). In the multivariate model, thinner EC in PiB-positive individuals (interaction term) was associated with worse olfaction (p = 0.02). Conclusions: In CN elderly, worse odor identification was associated with markers of neurodegeneration. Furthermore, individuals with elevated cortical amyloid and thinner EC exhibited worse odor identification, elucidating the potential contribution of olfactory testing to detect preclinical AD in CN individuals. PMID:25934852

  5. Perceived age as clinically useful biomarker of ageing: cohort study

    DEFF Research Database (Denmark)

    Christensen, Kaare; Thinggaard, Mikael; McGue, Matt;

    2009-01-01

    young men, and 11 older women (assessors); 1826 twins aged >or=70. MAIN OUTCOME MEASURES: Assessors: perceived age of twins from photographs. Twins: physical and cognitive tests and molecular biomarker of ageing (leucocyte telomere length). RESULTS: For all three groups of assessors, perceived age...... age, controlled for chronological age and sex, also correlated significantly with physical and cognitive functioning as well as with leucocyte telomere length. CONCLUSION: Perceived age-which is widely used by clinicians as a general indication of a patient's health-is a robust biomarker of ageing...

  6. Clinical Use of Cancer Biomarkers in Epithelial Ovarian Cancer

    DEFF Research Database (Denmark)

    Söletormos, Georg; Duffy, Michael J; Othman Abu Hassan, Suher;

    2016-01-01

    for secondary cytoreductive surgery. CONCLUSIONS: At present, CA125 remains the most important biomarker for epithelial ovarian cancer, excluding tumors of mucinous origin.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4...

  7. Non-Small Cell Lung Cancer beyond Biomarkers: The Evolving Landscape of Clinical Trial Design

    Directory of Open Access Journals (Sweden)

    Anastasios Dimou

    2014-06-01

    Full Text Available The approval of EGFR and ALK directed tyrosine kinase inhibitors materialized the concept of tailoring therapy on the basis of specific biomarkers for treating patients with NSCLC. Research for other biologics, although demonstrating clinical benefit, has been less successful so far for producing biomarkers that predict response. Blocking angiogenesis is the prototype for the agents that belong in the latter group that target specific molecules, yet they are currently approved for relatively unselected groups of patients. In order to meet the goal of personalizing care in the various settings of NSCLC, a wealth of biologics and compounds are currently being tested in clinical trials in different phases of clinical development. In a subset of the relevant studies, a biomarker perspective is appreciated. This review summarizes the clinical rationale of the major ongoing phase II and III NSCLC studies that employ targeting specific molecules with novel agents, as well as innovative strategies, and includes a comparative discussion of the different designs.

  8. Is Abeta a sufficient Biomarker for monitoring anti-Abeta clinical studies? A critical review.

    Directory of Open Access Journals (Sweden)

    Jens eMoreth

    2013-07-01

    Full Text Available Amyloid-beta (Aβ in Alzheimer’s disease (AD appeared to be a promising target for disease-modifying therapeutic strategies like passive immunotherapy with anti-Aβ monoclonal antibodies (mAbs. Biochemical markers in cerebrospinal fluid (CSF include alterations of Aβ that allow the diagnosis of AD. Biomarker strategies, such as the levels of Aβ in CSF and plasma, currently play an important role in early clinical trials for AD. Indeed, these strategies have a relevant impact on the outcome of such studies, since the biomarkers are used to monitor the bioactivity of anti-Aβ mAbs. The clinical trials of Solanezumab were mainly based on the readout of Aβ levels in CSF and plasma, whereas those of Bapineuzumab were based on cognition; however, little is known about the mechanisms altering these biomarker levels, and no biomarker has yet been proven to be a successful predictor for AD therapy. In addition, the Aβ biomarkers allow for the determination of free and bound anti-Aβ mAb in order to monitor the available amount of bioactive drug and could give hints to the mechanism of action. In this review, we discuss clinicalbiomarker data and the latest regulatory strategies.

  9. The Clinical Impact of Recent Advances in LC-MS for Cancer Biomarker Discovery and Verification

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Hui; Shi, Tujin; Qian, Weijun; Liu, Tao; Kagan, Jacob; Srivastava, Sudhir; Smith, Richard D.; Rodland, Karin D.; Camp, David G.

    2016-01-01

    Mass spectrometry-based proteomics has become an indispensable tool in biomedical research with broad applications ranging from fundamental biology, systems biology, and biomarker discovery. Recent advances in LC-MS have made it become a major technology in clinical applications, especially in cancer biomarker discovery and verification. To overcome the challenges associated with the analysis of clinical samples, such as extremely wide dynamic range of protein concentrations in biofluids and the need to perform high throughput and accurate quantification, significant efforts have been devoted to improve the overall performance of LC-MS bases clinical proteomics. In this review, we summarize the recent advances in LC-MS in the aspect of cancer biomarker discovery and quantification, and discuss its potentials, limitations, and future perspectives.

  10. Clinical update on the use of biomarkers of airway inflammation in the management of asthma

    Directory of Open Access Journals (Sweden)

    Dorscheid DR

    2011-06-01

    Full Text Available SJ Wadsworth1,2, DD Sin1,2, DR Dorscheid1,21UBC James Hogg Research Centre, Providence Heart and Lung Institute, St Paul's Hospital, Vancouver, Canada; 2Department of Medicine, University of British Columbia, British Columbia, CanadaAbstract: Biological markers are already used in the diagnosis and treatment of cardiovascular disease and cancer. Biomarkers have great potential use in the clinic as a noninvasive means to make more accurate diagnoses, monitor disease progression, and create personalized treatment regimes. Asthma is a heterogeneous disease with several different phenotypes, generally triggered by multiple gene-environment interactions. Pulmonary function tests are most often used objectively to confirm the diagnosis. However, airflow obstruction can be variable and thus missed using spirometry. Furthermore, lung function measurements may not reflect the precise underlying pathological processes responsible for different phenotypes. Inhaled corticosteroids and ß2-agonists have been the mainstay of asthma therapy for over 30 years, but the heterogeneity of the disease means not all asthmatics respond to the same treatment. High costs and undesired side effects of drugs also drive the need for better targeted treatment of asthma. Biomarkers have the potential to indicate an individual's disease phenotype and thereby guide clinicians in their decisions regarding treatment. This review focuses on biomarkers of airway inflammation which may help us to identify, monitor, and guide treatment of asthmatics. We discuss biomarkers obtained from multiple physiological sources, including sputum, exhaled gases, exhaled breath condensate, serum, and urine. We discuss the inherent limitations and benefits of using biomarkers in a heterogeneous disease such as asthma. We also discuss how we may modify our study designs to improve the identification and potential use of potential biomarkers in asthma.Keywords: asthma, inflammation, airway

  11. Idiopathic pulmonary fibrosis biomarkers: clinical utility and a way of understanding disease pathogenesis

    Directory of Open Access Journals (Sweden)

    Flynn M

    2015-05-01

    Full Text Available Matthew Flynn, Elisabeth S Baker, Daniel J Kass Dorothy P and Richard P Simmons Center for Interstitial Lung Disease, Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA Abstract: Idiopathic pulmonary fibrosis (IPF is a typically fatal disease that remains incompletely understood despite intense study and the arrival of drugs that may alter the natural history of the disease. Rendering an accurate diagnosis and predicting prognosis remain challenging problems to clinicians. One potential solution to these clinical problems is the identification of IPF biomarkers, easily measured factors that can be employed to predict clinical behavior. Candidate biomarkers have been identified by research in the laboratory on potential culprit cells or genes that may contribute to the pathogenesis of IPF. In this review, we present the current data on a number of well-studied IPF biomarker candidates and their potential role in the pathogenesis of disease. We also establish a framework for evaluating utility of incorporating these IPF biomarkers into clinical practice. Keywords: idiopathic pulmonary fibrosis, usual interstitial pneumonia, biomarker, matrix metalloproteinases

  12. Molecular biomarkers of colorectal cancer: prognostic and predictive tools for clinical practice

    Institute of Scientific and Technical Information of China (English)

    Wei-qin JIANG; Fang-fang FU; Yang-xia LI; Wei-bin WANG; Hao-hao WANG; Hai-ping JIANG; Li-song TENG

    2012-01-01

    Colorectal cancer remains one of the most common types of cancer and leading causes of cancer death worldwide.Although we have made steady progress in chemotherapy and targeted therapy,evidence suggests that the majority of patients undergoing drug therapy experience severe,debilitating,and even lethal adverse drug events which considerably outweigh the benefits.The identification of suitable biomarkers will allow clinicians to deliver the most appropriate drugs to specific patients and spare them ineffective and expensive treatments.Prognostic and predictive biomarkers have been the subjects of many published papers,but few have been widely incorporated into clinical practice.Here,we want to review recent biomarker data related to colorectal cancer,which may have been ready for clinical use.

  13. Biomarkers in differentiating clinical dengue cases:A prospective cohort study

    Institute of Scientific and Technical Information of China (English)

    Gary Kim Kuan Low; Seng Chiew Gan; Shu Cheow Ho

    2015-01-01

    Objective:To evaluate five biomarkers (neopterin, vascular endothelial growth factor-A, thrombomodulin, soluble vascular cell adhesion molecule 1 and pentraxin 3) in differentiating clinical dengue cases. Methods:A prospective cohort study was conducted whereby the blood samples were obtained at day of presentation and the final diagnosis were obtained at the end of patients’ follow-up. All patients included in the study were 15 years old or older, not pregnant, not infected by dengue previously and did not have cancer, autoimmune or haematological disorder. Median test was performed to compare the biomarker levels. A subgroup Mann-WhitneyU test was analysed between severe dengue and non-severe dengue cases. Monte Carlo method was used to estimate the 2-tailed probability (P) value for independent variables with unequal number of patients. Results: All biomarkers except thrombomodulin hasPvalue < 0.001 in differentiating among the healthy subjects, non-dengue fever, dengue without warning signs and dengue with warning signs/severe dengue. Subgroup analysis for all the biomarkers between severe dengue and non-severe dengue cases was not statistically significant except vascular endothelial growth factor-A (P < 0.05). Conclusions: Certain biomarkers were able to differentiate the clinical dengue cases. This could be potentially useful in classifying and determining the severity of dengue infected patients in the hospital.

  14. Biomarkers of clinical responsiveness in brain tumor patients : progress and potential.

    Science.gov (United States)

    El-Jawahri, Areej; Patel, Disha; Zhang, Min; Mladkova, Nikol; Chakravarti, Arnab

    2008-01-01

    Gliomas are the most common primary brain tumors in adults. Anaplastic astrocytoma and glioblastoma multiforme represent malignant astrocytomas, which are the most common type of malignant gliomas. Despite research efforts in cancer therapy, the prognosis of patients with malignant gliomas remains poor. Research efforts in recent years have focused on investigating the cellular, molecular, and genetic pathways involved in the progression of malignant gliomas. As a result, biomarkers have emerged as diagnostic, predictive, and prognostic tools that have the potential to transform the field of brain tumor diagnostics. An increased understanding of the important molecular pathways that have been implicated in the progression of malignant gliomas has led to the identification of potential diagnostic, prognostic, and predictive biomarkers, some bearing clinical implications for targeted therapy. Some of the most promising biomarkers to date include loss of chromosomes 1p/19q in oligodendrogliomas and expression of O-6-methylguanine-DNA methyltransferase (MGMT) or epidermal growth factor receptor (EGFR) status in glioblastomas. Other promising biomarkers in glioma research include glial fibrillary acidic protein, galectins, Kir potassium channel proteins, angiogenesis, and apoptosis pathway markers. Research into the clinical relevance and applicability of such biomarkers has the potential to revolutionize our approach to the diagnosis and treatment of patients with malignant gliomas. PMID:18652516

  15. Canine Mammary Cancer Stem Cells are Radio- and Chemo-Resistant and Exhibit an Epithelial-Mesenchymal Transition Phenotype

    International Nuclear Information System (INIS)

    Canine mammary carcinoma is the most common cancer among female dogs and is often fatal due to the development of distant metastases. In humans, solid tumors are made up of heterogeneous cell populations, which perform different roles in the tumor economy. A small subset of tumor cells can hold or acquire stem cell characteristics, enabling them to drive tumor growth, recurrence and metastasis. In veterinary medicine, the molecular drivers of canine mammary carcinoma are as yet undefined. Here we report that putative cancer stem cells (CSCs) can be isolated form a canine mammary carcinoma cell line, REM134. We show that these cells have an increased ability to form tumorspheres, a characteristic of stem cells, and that they express embryonic stem cell markers associated with pluripotency. Moreover, canine CSCs are relatively resistant to the cytotoxic effects of common chemotherapeutic drugs and ionizing radiation, indicating that failure of clinical therapy to eradicate canine mammary cancer may be due to the survival of CSCs. The epithelial to mesenchymal transition (EMT) has been associated with cancer invasion, metastasis, and the acquisition of stem cell characteristics. Our results show that canine CSCs predominantly express mesenchymal markers and are more invasive than parental cells, indicating that these cells have a mesenchymal phenotype. Furthermore, we show that canine mammary cancer cells can be induced to undergo EMT by TGFβ and that these cells have an increased ability to form tumorspheres. Our findings indicate that EMT induction can enrich for cells with CSC properties, and provide further insight into canine CSC biology

  16. Clinical drug development using dynamic biomarkers to enable personalized health care in Chronic Obstructive Pulmonary Disease

    DEFF Research Database (Denmark)

    Bihlet, Asger R; Karsdal, Morten A; Bay-Jensen, Anne-Christine;

    2015-01-01

    Despite massive investments in development of novel treatments for heterogeneous diseases such as Chronic Obstructive Pulmonary Disease (COPD), the resources spent have only benefitted a fraction of the population treated. Personalized Health Care to guide selection of a suitable patient population...... at higher risk of progression. We review the role of extra-cellular matrix proteins found to be upregulated in COPD. Novel biomarkers of connective tissue remodeling which may provide added value for a personalized approach by detecting subgroups of patients with active disease suitable for pharmacological...... already in the clinical development of new compounds could offer a solution. In this review, we discuss past successes and failures in drug development and biomarker research in COPD. We describe research in COPD phenotypes, and the required characteristics of a suitable biomarker for identifying patients...

  17. Circulating neuroendocrine tumors biomarkers. Why? When? How? Suggestions for clinical practice from guidelines and consensus

    Institute of Scientific and Technical Information of China (English)

    Paola Razzore; Giorgio Arnaldi

    2016-01-01

    Neuroendocrine neoplasms (NETs) are rare tumors that are increasing in incidence. NETs are characterized by heterogeneous biological behaviour, clinical presentation and course. A sensitive and speciifc diagnostic and prognostic circulating biomarker useful for all sites, grading and staging of neuroendocrine tumors is still an unmet need. The aim of this article was to review current neuroendocrine and oncologic scientiifc society guidelines and position statements, and propose recommendations for the most frequent clinical practice queries on circulating neuroendocrine tumors biomarkers. The authors searched for NCCN, NANETS, ESMO, ENETS, UKINETS, AME management guidelines or position statements available from PubMed up to 7th January 2016. From these results we chose guidelines or position statements published by scientiifc societies or institutions in USA, Europe and Italy with recognized expertise in neuroendocrine tumor patient management. The authors present suggestions for clinical practice based on this analysis.

  18. Combining multiple serum biomarkers in tumor diagnosis: A clinical assessment

    OpenAIRE

    Li, Xin; LU, JUN; Ren, Hui; CHEN, TIANJUN; Gao, Lin; DI, LIGAI; SONG, ZHUCUI; Zhang, Ying; Yang, Tian; THAKUR, ASMITANANDA; Zhou, Shu-Feng; Yin, Yanhai; Chen, Mingwei

    2012-01-01

    The present study aimed to assess the diagnostic/prognostic value of various clinical tumor markers, including carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), cytokeratin 19 (CYFRA21-1), α-fetoprotein (AFP), carbohydrate antigen-125 (CA-125), carbohydrate antigen-19.9 (CA-19.9) and ferritin, individually or in combination. The electro-chemiluminescence immunization method was performed to detect the levels of seven tumor markers in 560 cancer patients and 103 healthy subjects f...

  19. Correlation between Circulating Fungal Biomarkers and Clinical Outcome in Invasive Aspergillosis.

    Directory of Open Access Journals (Sweden)

    Dionysios Neofytos

    Full Text Available Objective means are needed to predict and assess clinical response in patients treated for invasive aspergillosis (IA. We examined whether early changes in serum galactomannan (GM and/or β-D-glucan (BDG can predict clinical outcomes. Patients with proven or probable IA were prospectively enrolled, and serial GM and BDG levels and GM optical density indices (GMI were calculated twice weekly for 6 weeks following initiation of standard-of-care antifungal therapy. Changes in these biomarkers during the first 2 and 6 weeks of treatment were analyzed for associations with clinical response and survival at weeks 6 and 12. Among 47 patients with IA, 53.2% (25/47 and 65.9% (27/41 had clinical response by weeks 6 and 12, respectively. Changes in biomarkers during the first 2 weeks were associated with clinical response at 6 weeks (GMI, P = 0.03 and 12 weeks (GM+BDG composite, P = 0.05; GM, P = 0.04; GMI, P = 0.02. Changes in biomarkers during the first 6 weeks were also associated with clinical response at 6 weeks (GM, P = 0.05; GMI, P = 0.03 and 12 weeks (BDG+GM, P = 0.02; GM, P = 0.02; GMI, P = 0.01. Overall survival rates at 6 weeks and 12 weeks were 87.2% (41/47 and 79.1% (34/43, respectively. Decreasing biomarkers in the first 2 weeks were associated with survival at 6 weeks (BDG+GM, P = 0.03; BDG, P = 0.01; GM, P = 0.03 and at 12 weeks (BDG+GM, P = 0.01; BDG, P = 0.03; GM, P = 0.01; GMI, P = 0.007. Similar correlations occurred for biomarkers measured over 6 weeks. Patients with negative baseline GMI and/or persistently negative GMI during the first 2 weeks were more likely to have CR and survival. These results suggest that changes of biomarkers may be informative to predict and/or assess response to therapy and survival in patients treated for IA.

  20. Biomarkers for predicting clinical response to immunosuppressive therapy in aplastic anemia.

    Science.gov (United States)

    Narita, Atsushi; Kojima, Seiji

    2016-08-01

    The decision to select hematopoietic stem cell transplantation (HSCT) or immunosuppressive therapy (IST) as initial therapy in acquired aplastic anemia (AA) is currently based on patient age and the availability of a human leukocyte antigen (HLA)-matched donor. Although IST is a promising treatment option, the ability to predict its long-term outcomes remains poor due to refractoriness, relapses, and the risk of clonal evolution. Several predictive biomarkers for response to IST have been posited, including age, gender, pre-treatment blood cell counts, cytokines, gene mutations, paroxysmal nocturnal hemoglobinuria (PNH), and telomere length (TL). While previous studies have provided substantial biological insights into the utility of IST, the prognostic power of the reported biomarkers is currently insufficient to contribute to clinical decision making. Recently, a large retrospective analysis proposed the combination of minor PNH clones and TL as an efficient predictor of IST response. Identification of a reliable predictor would provide a useful tool for determining the most appropriate treatment choice for AA patients, including up-front HSCT from HLA-matched unrelated donor. The present review summarizes studies evaluating the utility of biomarkers in predicting the clinical response to IST of patients with AA, and provides a baseline for prospective studies aimed at validating previously reported biomarkers. PMID:27091471

  1. Inflammatory and repair serum biomarker pattern. Association to clinical outcomes in COPD

    Directory of Open Access Journals (Sweden)

    Pinto-Plata Victor

    2012-08-01

    Full Text Available Abstract Background The relationship between serum biomarkers and clinical expressions of COPD is limited. We planned to further describe this association using markers of inflammation and injury and repair. Methods We studied lung function, comorbidities, exercise tolerance, BODE index, and quality of life in 253 COPD patients and recorded mortality over three years. Serum levels of Interleukins 6,8 and16, tumor necrosis factor alpha (TNF α [inflammatory panel], vascular endothelial growth factor (VEGF, and matrix metalloproteinase 9 (MMP-9 [injury and repair panel] and pulmonary and activation-regulated chemokine (PARC/CCL-18 and monocyte chemotactic protein 1 (MCP-1/CCL2 [chemoattractant panel] were measured. We related the pattern of the biomarker levels to minimal clinically important differences (MCID using a novel visualization method [ObServed Clinical Association Results (OSCAR plot]. Results Levels of the inflammatory markers IL-6, TNF α were higher and those of injury and repair lower (p  Conclusions In COPD, serum biomarkers of inflammation and repair are distinctly associated with important clinical parameters and survival.

  2. Primary Sjӧgren's syndrome: Clinical phenotypes, outcome and the development of biomarkers.

    Science.gov (United States)

    Goules, Andreas V; Tzioufas, Athanasios G

    2016-07-01

    Primary Sjӧgren's syndrome (pSS) is a complex autoimmune disease with distinct clinical phenotypes and variable outcomes. The systemic form of the disease is characterized by immune complex mediated manifestations and is complicated by lymphoma as a result of a polyclonal B cell hyperactivity that is evolving into B cell malignancy. In the past decades, well-established clinical and serological markers have been described in the literature to identify high-risk patients and to predict lymphoma development. However, specific biologic treatments have proven ineffective to control the disease. Significant research effort has been made to reveal the major underlying biological events in this subgroup and identify biomarkers for early diagnosis, prognosis and response to treatment. In this review, we summarize the current data for the proposed histological, molecular and genetic biomarkers.

  3. Clinical update on the use of biomarkers of airway inflammation in the management of asthma

    OpenAIRE

    Dorscheid DR; Sin DD; Wadsworth SJ

    2011-01-01

    SJ Wadsworth1,2, DD Sin1,2, DR Dorscheid1,21UBC James Hogg Research Centre, Providence Heart and Lung Institute, St Paul's Hospital, Vancouver, Canada; 2Department of Medicine, University of British Columbia, British Columbia, CanadaAbstract: Biological markers are already used in the diagnosis and treatment of cardiovascular disease and cancer. Biomarkers have great potential use in the clinic as a noninvasive means to make more accurate diagnoses, monitor disease progression, and cr...

  4. Sputum biomarkers and the prediction of clinical outcomes in patients with cystic fibrosis.

    Directory of Open Access Journals (Sweden)

    Theodore G Liou

    Full Text Available Lung function, acute pulmonary exacerbations (APE, and weight are the best clinical predictors of survival in cystic fibrosis (CF; however, underlying mechanisms are incompletely understood. Biomarkers of current disease state predictive of future outcomes might identify mechanisms and provide treatment targets, trial endpoints and objective clinical monitoring tools. Such CF-specific biomarkers have previously been elusive. Using observational and validation cohorts comprising 97 non-transplanted consecutively-recruited adult CF patients at the Intermountain Adult CF Center, University of Utah, we identified biomarkers informative of current disease and predictive of future clinical outcomes. Patients represented the majority of sputum producers. They were recruited March 2004-April 2007 and followed through May 2011. Sputum biomarker concentrations were measured and clinical outcomes meticulously recorded for a median 5.9 (interquartile range 5.0 to 6.6 years to study associations between biomarkers and future APE and time-to-lung transplantation or death. After multivariate modeling, only high mobility group box-1 protein (HMGB-1, mean=5.84 [log ng/ml], standard deviation [SD] =1.75 predicted time-to-first APE (hazard ratio [HR] per log-unit HMGB-1=1.56, p-value=0.005, number of future APE within 5 years (0.338 APE per log-unit HMGB-1, p<0.001 by quasi-Poisson regression and time-to-lung transplantation or death (HR=1.59, p=0.02. At APE onset, sputum granulocyte macrophage colony stimulating factor (GM-CSF, mean 4.8 [log pg/ml], SD=1.26 was significantly associated with APE-associated declines in lung function (-10.8 FEV(1% points per log-unit GM-CSF, p<0.001 by linear regression. Evaluation of validation cohorts produced similar results that passed tests of mutual consistency. In CF sputum, high HMGB-1 predicts incidence and recurrence of APE and survival, plausibly because it mediates long-term airway inflammation. High APE-associated GM

  5. Biomarkers: evaluation of clinical utility in surveillance and early diagnosis for hepatocellular carcinoma.

    Science.gov (United States)

    Song, Peipei; Tang, Qi; Feng, Xiaobin; Tang, Wei

    2016-01-01

    Hepatocellular carcinoma (HCC) is the fifth most common cancer and the second most common cause of death from cancer worldwide. Strategies to surveil and diagnose HCC in an earlier stage are urgently needed since this is when curable interventions can be offered to achieve long-term disease-free survival. Over the past few decades, research has suggested measuring alpha-fetoprotein (AFP) concentration and performing abdominal ultrasound (US) as part of routine surveillance of HCC every 6 months for high-risk patients, and many HCC guidelines worldwide have also recommended these examinations. Over the past 5 years, however, the role of serum biomarkers in HCC surveillance and diagnosis has diminished due to advances in imaging modalities. AFP was excluded from the surveillance and/or diagnostic criteria in the HCC guidelines published by some Western countries. In Asian countries, serum biomarkers such as AFP, the Lens culinaris agglutinin-reactive fraction of AFP (AFP-L3), and des-γ-carboxyprothrombin (DCP) are still recommended for HCC surveillance and are being used as an adjunctive diagnostic tool in accordance with HCC guidelines. Moreover, novel biomarkers including Dickkopf-1 (DKK1), midkine (MDK), and microRNA (miRNA) are being studied in this regard. China accounts for 50% of HCC cases worldwide, so identifying biomarkers of HCC is paramount. Recent studies have indicated the clinical utility of simultaneous measurement of AFP and DCP for the early detection of HCC in China. They are predominantly used for cases caused by HBV infection. Additional large-scale prospective studies should be conducted to establish the utility of these biomarkers. PMID:27438343

  6. Clinical proteomics for liver disease: a promising approach for discovery of novel biomarkers

    Directory of Open Access Journals (Sweden)

    Tsubouchi Hirohito

    2010-12-01

    Full Text Available Abstract Hepatocellular carcinoma (HCC is the fifth most common cancer and advanced hepatic fibrosis is a major risk factor for HCC. Hepatic fibrosis including liver cirrhosis and HCC are mainly induced by persistent hepatitis B or C virus infection, with approximately 500 million people infected with hepatitis B or C virus worldwide. Furthermore, the number of patients with non-alcoholic fatty liver disease (NAFLD has recently increased and NAFLD can progress to cirrhosis and HCC. These chronic liver diseases are major causes of morbidity and mortality, and the identification of non-invasive biomarkers is important for early diagnosis. Recent advancements in quantitative and large-scale proteomic methods could be used to optimize the clinical application of biomarkers. Early diagnosis of HCC and assessment of the stage of hepatic fibrosis or NAFLD can also contribute to more effective therapeutic interventions and an improve prognosis. Furthermore, advancements of proteomic techniques contribute not only to the discovery of clinically useful biomarkers, but also in clarifying the molecular mechanisms of disease pathogenesis by using body fluids, such as serum, and tissue samples and cultured cells. In this review, we report recent advances in quantitative proteomics and several findings focused on liver diseases, including HCC, NAFLD, hepatic fibrosis and hepatitis B or C virus infections.

  7. Towards understanding and predicting suicidality in women: biomarkers and clinical risk assessment.

    Science.gov (United States)

    Levey, D F; Niculescu, E M; Le-Niculescu, H; Dainton, H L; Phalen, P L; Ladd, T B; Weber, H; Belanger, E; Graham, D L; Khan, F N; Vanipenta, N P; Stage, E C; Ballew, A; Yard, M; Gelbart, T; Shekhar, A; Schork, N J; Kurian, S M; Sandusky, G E; Salomon, D R; Niculescu, A B

    2016-06-01

    Women are under-represented in research on suicidality to date. Although women have a lower rate of suicide completion than men, due in part to the less-violent methods used, they have a higher rate of suicide attempts. Our group has previously identified genomic (blood gene expression biomarkers) and clinical information (apps) predictors for suicidality in men. We now describe pilot studies in women. We used a powerful within-participant discovery approach to identify genes that change in expression between no suicidal ideation (no SI) and high suicidal ideation (high SI) states (n=12 participants out of a cohort of 51 women psychiatric participants followed longitudinally, with diagnoses of bipolar disorder, depression, schizoaffective disorder and schizophrenia). We then used a Convergent Functional Genomics (CFG) approach to prioritize the candidate biomarkers identified in the discovery step by using all the prior evidence in the field. Next, we validated for suicidal behavior the top-ranked biomarkers for SI, in a demographically matched cohort of women suicide completers from the coroner's office (n=6), by assessing which markers were stepwise changed from no SI to high SI to suicide completers. We then tested the 50 biomarkers that survived Bonferroni correction in the validation step, as well as top increased and decreased biomarkers from the discovery and prioritization steps, in a completely independent test cohort of women psychiatric disorder participants for prediction of SI (n=33) and in a future follow-up cohort of psychiatric disorder participants for prediction of psychiatric hospitalizations due to suicidality (n=24). Additionally, we examined how two clinical instruments in the form of apps, Convergent Functional Information for Suicidality (CFI-S) and Simplified Affective State Scale (SASS), previously tested in men, perform in women. The top CFI-S item distinguishing high SI from no SI states was the chronic stress of social isolation. We

  8. Biomarkers of intestinal fibrosis - one step towards clinical trials for stricturing inflammatory bowel disease.

    Science.gov (United States)

    Giuffrida, Paolo; Pinzani, Massimo; Corazza, Gino R; Di Sabatino, Antonio

    2016-08-01

    Intestinal fibrosis, caused by an excessive deposition of extracellular matrix components, and subsequent stricture development are a common complication of inflammatory bowel disease. However, currently there are no biomarkers which reliably predict the risk of developing intestinal strictures or identify early stages of fibrosis prior to clinical symptoms. Candidate biomarkers of intestinal fibrosis, including gene variants (i.e. nucleotide-binding oligomerization domain-2 gene), serum microRNAs (miR-19, miR-29), serum extracellular matrix proteins (i.e. collagen, fibronectin) or enzymes (i.e. tissue inhibitor of matrix metalloproteinase-1), serum growth factors (i.e. basic fibroblast growth factor, YKL-40), serum anti-microbial antibodies (i.e. anti-Saccharomyces cerevisiae) and circulating cells (i.e. fibrocytes) have shown conflicting results on relatively heterogeneous patients' cohorts, and none of them was proven to be strictly specific for fibrostenosis, but rather predictive of a disease disabling course. In this review we critically reassess the diagnostic and prognostic value of serum biomarkers of intestinal fibrosis in inflammatory bowel disease.

  9. Prognostic and Predictive Biomarkers in Colorectal Cancer. From the Preclinical Setting to Clinical Practice.

    Science.gov (United States)

    Maurel, Joan; Postigo, Antonio

    2015-01-01

    Colorectal cancer (CRC) is the second largest cause of cancer mortality in Western countries, mostly due to metastasis. Understanding the natural history and prognostic factors in patients with metastatic CRC (mCRC) is essential for the optimal design of clinical trials. The main prognostic factors currently used in clinical practice are related to tumor behavior (e.g., white blood counts, levels of lactate dehydrogenase, levels of alkaline phosphatase) disease extension (e.g., presence of extrahepatic spread, number of organs affected) and general functional status (e.g., performance status as defined by the Eastern Cooperative Oncology Group). However, these parameters are not always sufficient to establish appropriate therapeutic strategies. First-line therapy in mCRC combines conventional chemotherapy (CHT) (e.g., FOLFOX, FOLFIRI, CAPOX) with a number of agents targeted to specific signaling pathways (TA) (e.g., panitumumab and cetuximab for cases KRAS/NRAS WT, and bevacizumab). Although the response rate to this combination regime exceeds 50%, progression of the disease is almost universal and only less than 10% of patients are free of disease at 2 years. Current clinical trials with second and third line therapy include new TA, such as tyrosin-kinase receptors inhibitors (MET, HER2, IGF-1R), inhibitors of BRAF, MEK, PI3K, AKT, mTORC, NOTCH and JAK1/JAK2, immunotherapy modulators and check point inhibitors (anti-PD-L1 and anti- PD1). Despite the identification of multiple prognostic and predictive biomarkers and signatures, it is still unclear how expression of many of these biomarkers is modulated by CHT and/or TA, thus potentially affecting response to treatment. In this review we analyzed how certain biomarkers in tumor cells and microenvironment influence the response to new TA and immune-therapies strategies in mCRC pre-treated patients. PMID:26452385

  10. Thymus and activation-regulated chemokine as a clinical biomarker in atopic dermatitis.

    Science.gov (United States)

    Kataoka, Yoko

    2014-03-01

    Thymus and activation-regulated chemokine (TARC/CCL17) is a member of the T-helper 2 chemokine family. In Japan, serum TARC level has been commercially measured since 2008. After years of experience, we realized that TARC is an extremely useful clinical biomarker for atopic dermatitis (AD) treatment. Usually, physicians conduct a visual examination to determine whether their treatment has been successful; however, the visual examination results may not always be accurate; in such cases, serum TARC levels should be measured to eliminate any ambiguity regarding the treatment outcome. When the waning and waxing of eczema and fluctuations in the serum TARC levels were considered, we frequently found that AD does not follow a natural course but follows non-regulated inflammatory floating caused by insufficient intermittent topical treatment. Serum TARC is a promising biomarker for remission and can be used for accurately monitoring proactive treatment for long-term control. Abnormally high serum TARC levels indicate accelerated pathogenesis of cutaneous inflammation. Rapid normalization and maintaining normal serum TARC levels using appropriate topical treatment is a reasonable strategy for alleviating inflammation without upregulating cytokine expression. Observing serum TARC levels during early intervention for severe infantile AD is worthwhile to determine initial disease activity and evaluate treatment efficacy. Appropriate control of severe early-onset infantile AD is important for improving prognosis of eczema and for preventing food allergies. Additionally, this biomarker is useful for improving patient adherence. Dermatologists will be able to make great progress in treating AD by adopting biomarkers such as TARC for accurately assessing non-visible subclinical disorders. PMID:24628072

  11. The clinical use of biomarkers as prognostic factors in Ewing sarcoma

    Directory of Open Access Journals (Sweden)

    van Maldegem Annmeik M

    2012-02-01

    Full Text Available Abstract Ewing Sarcoma is the second most common primary bone sarcoma with 900 new diagnoses per year in Europe (EU27. It has a poor survival rate in the face of metastatic disease, with no more than 10% survival of the 35% who develop recurrence. Despite the remaining majority having localised disease, approximately 30% still relapse and die despite salvage therapies. Prognostic factors may identify patients at higher risk that might require differential therapeutic interventions. Aside from phenotypic features, quantitative biomarkers based on biological measurements may help identify tumours that are more aggressive. We audited the research which has been done to identify prognostic biomarkers for Ewing sarcoma in the past 15 years. We identified 86 articles were identified using defined search criteria. A total of 11,625 patients were reported, although this number reflects reanalysis of several cohorts. For phenotypic markers, independent reports suggest that tumour size > 8 cm and the presence of metastasis appeared strong predictors of negative outcome. Good histological response (necrosis > 90% after treatment appeared a significant predictor for a positive outcome. However, data proposing biological biomarkers for practical clinical use remain un-validated with only one secondary report published. Our recommendation is that we can stratify patients according to their stage and using the phenotypic features of metastases, tumour size and histological response. For biological biomarkers, we suggest a number of validating studies including markers for 9p21 locus, heat shock proteins, telomerase related markers, interleukins, tumour necrosis factors, VEGF pathway, lymphocyte count, and a number of other markers including Ki-67.

  12. Identification of biomarkers for Tuberculosis susceptibility via integrated analysis of gene expression and longitudinal clinical data

    Directory of Open Access Journals (Sweden)

    Qingyang eLuo

    2014-07-01

    Full Text Available Tuberculosis (TB is an infectious disease caused by the bacteria Mycobacterium tuberculosis (Mtb that affects millions of people worldwide. The majority of individuals who are exposed to Mtb develop latent infections, in which an immunological response to Mtb antigens is present but there is no clinical evidence of disease. Because currently available tests cannot differentiate latent individuals who are at low risk from those who are highly susceptible to developing active disease, there is considerable interest in the identification of diagnostic biomarkers that can predict reactivation of latent TB. We present results from our analysis of a controlled longitudinal experiment in which a group of rhesus macaques were exposed to a low dose of Mtb to study their progression to latent infection or active disease. Subsets of the animals were then euthanized at scheduled time points, and granulomas taken from their lungs were assayed for gene expression using microarrays. The clinical profiles associated with the animals following Mtb exposure revealed considerable variability, and we developed models for the disease trajectory for each subject using a Bayesian hierarchical B-spline approach. Disease severity estimates were derived from these fitted curves and included as covariates in linear models to identify genes significantly associated with disease progression. Our results demonstrate that the incorporation of clinical data increases the value of information extracted from the expression profiles and contributes to the identification of predictive biomarkers for TB susceptibility.

  13. Chromatin H3K27me3/H3K4me3 histone marks define gene sets in high-grade serous ovarian cancer that distinguish malignant, tumour-sustaining and chemo-resistant ovarian tumour cells.

    Science.gov (United States)

    Chapman-Rothe, N; Curry, E; Zeller, C; Liber, D; Stronach, E; Gabra, H; Ghaem-Maghami, S; Brown, R

    2013-09-19

    In embryonic stem (ES) cells, bivalent chromatin domains containing H3K4me3 and H3K27me3 marks silence developmental genes, while keeping them poised for activation following differentiation. We have identified gene sets associated with H3K27me3 and H3K4me3 marks at transcription start sites in a high-grade ovarian serous tumour and examined their association with epigenetic silencing and malignant progression. This revealed novel silenced bivalent marked genes, not described previously for ES cells, which are significantly enriched for the PI3K (P<10(-7)) and TGF-β signalling pathways (P<10(-5)). We matched histone marked gene sets to gene expression sets of eight normal fallopian tubes and 499 high-grade serous malignant ovarian samples. This revealed a significant decrease in gene expression for the H3K27me3 and bivalent gene sets in malignant tissue. We then correlated H3K27me3 and bivalent gene sets to gene expression data of ovarian tumour 'stem cell-like' sustaining cells versus non-sustaining cells. This showed a significantly lower expression for the H3K27me3 and bivalent gene sets in the tumour-sustaining cells. Similarly, comparison of matched chemo-sensitive and chemo-resistant ovarian cell lines showed a significantly lower expression of H3K27me3/bivalent marked genes in the chemo-resistant compared with the chemo-sensitive cell line. Our analysis supports the hypothesis that bivalent marks are associated with epigenetic silencing in ovarian cancer. However it also suggests that additional tumour specific bivalent marks, to those known in ES cells, are present in tumours and may potentially influence the subsequent development of drug resistance and tumour progression. PMID:23128397

  14. Levels and types of alcohol biomarkers in DUI and clinic samples for estimating workplace alcohol problems.

    Science.gov (United States)

    Marques, Paul R

    2012-02-01

    Widespread concern about illicit drugs as an aspect of workplace performance potentially diminishes attention on employee alcohol use. Alcohol is the dominant drug contributing to poor job performance; it also accounts for a third of the worldwide public health burden. Evidence from public roadways--a workplace for many--provides an example of work-related risk exposure and performance lapses. In most developed countries, alcohol is involved in 20-35% of fatal crashes; drugs other than alcohol are less prominently involved in fatalities. Alcohol biomarkers can improve detection by extending the timeframe for estimating problematic exposure levels and thereby provide better information for managers. But what levels and which markers are right for the workplace? In this paper, an established high-sensitivity proxy for alcohol-driving risk proclivity is used: an average eight months of failed blood alcohol concentration (BAC) breath tests from alcohol ignition interlock devices. Higher BAC test fail rates are known to presage higher rates of future impaired-driving convictions (driving under the influence; DUI). Drivers in alcohol interlock programmes log 5-7 daily BAC tests; in 12 months, this yields thousands of samples. Also, higher programme entry levels of alcohol biomarkers predict a higher likelihood of failed interlock BAC tests during subsequent months. This paper summarizes the potential of selected biomarkers for workplace screening. Markers include phosphatidylethanol (PEth), percent carbohydrate deficient transferrin (%CDT), gammaglutamyltransferase (GGT), gamma %CDT (γ%CDT), and ethylglucuronide (EtG) in hair. Clinical cut-off levels and median/mean levels of these markers in abstinent people, the general population, DUI drivers, and rehabilitation clinics are summarized for context. PMID:22311827

  15. Personalization of prostate cancer prevention and therapy: are clinically qualified biomarkers in the horizon?

    Directory of Open Access Journals (Sweden)

    Yap Timothy A

    2012-01-01

    Full Text Available Abstract Prostate cancer remains the most common malignancy among men and the second leading cause of male cancer-related mortality. Death from this disease is invariably due to resistance to androgen deprivation therapy. Our improved understanding of the biology of prostate cancer has heralded a new era in molecular anticancer drug development, with multiple novel anticancer drugs for castration resistant prostate cancer now entering the clinic. These include the taxane cabazitaxel, the vaccine sipuleucel-T, the CYP17 inhibitor abiraterone, the novel androgen receptor antagonist MDV-3100 and the radionuclide alpharadin. The management and therapeutic landscape of prostate cancer has now been transformed with this growing armamentarium of effective antitumor agents. This review discusses strategies for the prevention and personalization of prostate cancer therapy, with a focus on the development of predictive and intermediate endpoint biomarkers, as well as novel clinical trial designs that will be crucial for the optimal development of such anticancer therapeutics.

  16. Clinical value of renal injury biomarkers in diagnosis of chronic kidney disease

    Directory of Open Access Journals (Sweden)

    Cheng-lu ZHANG

    2011-12-01

    Full Text Available Objective To investigate the levels of renal injury biomarkers in patients with chronic kidney disease(CKD and evaluate their clinical significances in diagnosis of CKD.Methods A total of 66 subjects(37 patients with CKD and 29 healthy individuals were involved in this study.Serum blood urea nitrogen(SBUN was determined by Glutamate dehydrogenase method;serum creatinine(SCr and urinary creatinine(UCr were detected by sarcosine oxidase method;serum uric acid(SUA was measured by uricase colorimetry;serum cystatin C(Cys C and urinary microalbumin(UmAlbwere analyzed by immunological transmission turbidimetry;urinary protein(U-PROwas measured by Coomassies Brilliant Blue(CBB assay.The UmAlb and U-PRO levels were expressed in units of mg/mmolUCr.Results The results of independent samples t test indicated that significant differences were found in SBUN,SCr,SUA,Cys C,UmAlb and U-PRO(P < 0.05 between patient group and healthy control group.The evaluation of diagnostic effects showed that the areas under the curve at ROC plot for SBUN,SCr,SUA,Cys C,UmAlb and U-PRO were 0.907,0.912,0.742,0.982,0.984 and 0.991,respectively.Conclusions U-PRO,UmAlb and Cys C are ideal biomarkers,SCr and SBUN come next,SUA is the weakest when the above biomarkers are applied to evaluate the renal injury and its severity of the patients with CKD.

  17. Vasopressin in preeclampsia: a novel very early human pregnancy biomarker and clinically relevant mouse model.

    Science.gov (United States)

    Santillan, Mark K; Santillan, Donna A; Scroggins, Sabrina M; Min, James Y; Sandgren, Jeremy A; Pearson, Nicole A; Leslie, Kimberly K; Hunter, Stephen K; Zamba, Gideon K D; Gibson-Corley, Katherine N; Grobe, Justin L

    2014-10-01

    Preeclampsia, a cardiovascular disorder of late pregnancy, is characterized as a low-renin hypertensive state relative to normotensive pregnancy. Because other nonpregnant low-renin hypertensive disorders often exhibit and are occasionally dependent on elevated arginine vasopressin (AVP) secretion, we hypothesized a possible use for plasma AVP measurements in the prediction of preeclampsia. Copeptin is an inert prosegment of AVP that is secreted in a 1:1 molar ratio and exhibits a substantially longer biological half-life compared with AVP, rendering it a clinically useful biomarker of AVP secretion. Copeptin was measured throughout pregnancy in maternal plasma from preeclamptic and control women. Maternal plasma copeptin was significantly higher throughout preeclamptic pregnancies versus control pregnancies. While controlling for clinically significant confounders (age, body mass index, chronic essential hypertension, twin gestation, diabetes mellitus, and history of preeclampsia) using multivariate regression, the association of higher copeptin concentration and the development of preeclampsia remained significant. Receiver operating characteristic analyses reveal that as early as the sixth week of gestation, elevated maternal plasma copeptin concentration is a highly significant predictor of preeclampsia throughout pregnancy. Finally, chronic infusion of AVP during pregnancy (24 ng per hour) is sufficient to phenocopy preeclampsia in C57BL/6J mice, causing pregnancy-specific hypertension, renal glomerular endotheliosis, proteinuria, and intrauterine growth restriction. These data implicate AVP release as a novel predictive biomarker for preeclampsia very early in pregnancy, identify chronic AVP infusion as a novel and clinically relevant model of preeclampsia in mice, and are consistent with a potential causative role for AVP in preeclampsia in humans.

  18. Pain in the Blood? Envisioning Mechanism-Based Diagnoses and Biomarkers in Clinical Pain Medicine

    Directory of Open Access Journals (Sweden)

    Emmanuel Bäckryd

    2015-03-01

    Full Text Available Chronic pain is highly prevalent, and pain medicine lacks objective biomarkers to guide diagnosis and choice of treatment. The current U.S. “opioid epidemic” is a reminder of the paucity of effective and safe treatment options. Traditional pain diagnoses according to the International Classification of Diseases are often unspecific, and analgesics are often prescribed on a trial-and-error basis. In contrast to this current state of affairs, the vision of future mechanism-based diagnoses of chronic pain conditions is presented in this non-technical paper, focusing on the need for biomarkers and the theoretical complexity of the task. Pain is and will remain a subjective experience, and as such is not objectively measurable. Therefore, the concept of “noci-marker” is presented as an alternative to “pain biomarker”, the goal being to find objective, measurable correlates of the pathophysiological processes involved in different chronic pain conditions. This vision entails a call for more translational pain research in order to bridge the gap between clinical pain medicine and preclinical science.

  19. The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Claire L. Tonry

    2016-07-01

    Full Text Available Prostate Cancer (PCa is the second most commonly diagnosed cancer in men worldwide. Although increased expression of prostate-specific antigen (PSA is an effective indicator for the recurrence of PCa, its intended use as a screening marker for PCa is of considerable controversy. Recent research efforts in the field of PCa biomarkers have focused on the identification of tissue and fluid-based biomarkers that would be better able to stratify those individuals diagnosed with PCa who (i might best receive no treatment (active surveillance of the disease; (ii would benefit from existing treatments; or (iii those who are likely to succumb to disease recurrence and/or have aggressive disease. The growing demand for better prostate cancer biomarkers has coincided with the development of improved discovery and evaluation technologies for multiplexed measurement of proteins in bio-fluids and tissues. This review aims to (i provide an overview of these technologies as well as describe some of the candidate PCa protein biomarkers that have been discovered using them; (ii address some of the general limitations in the clinical evaluation and validation of protein biomarkers; and (iii make recommendations for strategies that could be adopted to improve the successful development of protein biomarkers to deliver improvements in personalized PCa patient decision making.

  20. Near-infrared spectroscopy in schizophrenia: A possible biomarker for predicting clinical outcome and treatment response

    Directory of Open Access Journals (Sweden)

    Shinsuke eKoike

    2013-11-01

    Full Text Available Functional near-infrared spectroscopy (fNIRS is a relatively new technique that can measure hemoglobin changes in brain tissues, and its use in psychiatry has been progressing rapidly. Although it has several disadvantages (e.g., relatively low spatial resolution and the possibility of shallow coverage in the depth of brain regions compared with other functional neuroimaging techniques (e.g., functional magnetic resonance imaging and positron emission tomography, fNIRS may be a candidate instrument for clinical use in psychiatry, as it can measure brain activity in naturalistic position easily and noninvasively. fNIRS instruments are also small and work silently, and can be moved almost everywhere including schools and care units. Previous fNIRS studies have shown that patients with schizophrenia have impaired activity and characteristic waveform patterns in the prefrontal cortex during the letter version of the verbal fluency task, and part of these results have been approved as one of the Advanced Medical Technologies as an aid for the differential diagnosis of depressive symptoms by the Ministry of Health, Labor and Welfare of Japan in 2009, which was the first such approval in the field of psychiatry. Moreover, previous studies suggest that the activity in the frontopolar prefrontal cortex is associated with their functions in chronic schizophrenia and is its next candidate biomarker. Future studies aimed at exploring fNIRS differences in various clinical stages, longitudinal changes, drug effects, and variations during different task paradigms will be needed to develop more accurate biomarkers that can be used to aid differential diagnosis, the comprehension of the present condition, the prediction of outcome, and the decision regarding treatment options in schizophrenia. Future fNIRS researches will require standardized measurement procedures, probe settings, analytical methods and tools, manuscript description, and database systems in an

  1. Levels and Types of Alcohol Biomarkers in DUI and Clinic Samples for Estimating Workplace Alcohol Problemsa

    Science.gov (United States)

    Marques, Paul R

    2013-01-01

    Widespread concern about illicit drugs as an aspect of workplace performance potentially diminishes attention on employee alcohol use. Alcohol is the dominant drug contributing to poor job performance; it also accounts for a third of the worldwide public health burden. Evidence from public roadways – a workplace for many – provides an example for work-related risk exposure and performance lapses. In most developed countries, alcohol is involved in 20-35% of fatal crashes; drugs other than alcohol are less prominently involved in fatalities. Alcohol biomarkers can improve detection by extending the timeframe for estimating problematic exposure levels and thereby provide better information for managers. But what levels and which markers are right for the workplace? In this report, an established high-sensitivity proxy for alcohol-driving risk proclivity is used: an average 8 months of failed blood alcohol concentration (BAC) breath tests from alcohol ignition interlock devices. Higher BAC test fail rates are known to presage higher rates of future impaired-driving convictions (DUI). Drivers in alcohol interlock programs log 5-7 daily BAC tests; in 12 months, this yields thousands of samples. Also, higher program entry levels of alcohol biomarkers predict a higher likelihood of failed interlock BAC tests during subsequent months. This report summarizes selected biomarkers’ potential for workplace screening. Markers include phosphatidylethanol (PEth), percent carbohydrate deficient transferrin (%CDT), gammaglutamyltransferase (GGT), gamma %CDT (γ%CDT), and ethylglucuronide (EtG) in hair. Clinical cutoff levels and median/mean levels of these markers in abstinent people, the general population, DUI drivers, and rehabilitation clinics are summarized for context. PMID:22311827

  2. Mass spectrometry in biomarker applications: from untargeted discovery to targeted verification, and implications for platform convergence and clinical application

    Energy Technology Data Exchange (ETDEWEB)

    Smith, Richard D.

    2012-03-01

    It is really only in the last ten years that mass spectrometry (MS) has had a truly significant (but still small) impact on biomedical research. Much of this impact can be attributed to proteomics and its more basic applications. Early biomedical applications have included a number of efforts aimed at developing new biomarkers; however, the success of these endeavors to date have been quite modest - essentially confined to preclinical applications - and have often suffered from combinations of immature technology and hubris. Now that MS-based proteomics is reaching adolescence, it is appropriate to ask if and when biomarker-related applications will extend to the clinical realm, and what developments will be essential for this transition. Biomarker development can be described as a multistage process consisting of discovery, qualification, verification, research assay optimization, validation, and commercialization (1). From a MS perspective, it is possible to 'bin' measurements into 1 of 2 categories - those aimed at discovering potential protein biomarkers and those seeking to verify and validate biomarkers. Approaches in both categories generally involve digesting proteins (e.g., with trypsin) as a first step to yield peptides that can be effectively detected and identified with MS. Discovery-based approaches use broad 'unbiased' or 'undirected' measurements that attempt to cover as many proteins as possible in the hope of revealing promising biomarker candidates. A key challenge with this approach stems from the extremely large dynamic range (i.e., relative stoichiometry) of proteins of potential interest in biofluids such as plasma and the expectation that biomarker proteins of the greatest clinical value for many diseases may very well be present at low relative abundances (2). Protein concentrations in plasma extend from approximately 10{sup 10} pg/mL for albumin to approximately 10 pg/mL and below for interleukins and other

  3. Emerging treatments in management of prostate cancer: biomarker validation and endpoints for immunotherapy clinical trial design

    Directory of Open Access Journals (Sweden)

    Slovin SF

    2013-12-01

    Full Text Available Susan F SlovinGenitourinary Oncology Service, Sidney Kimmel Center for Prostate and Urologic Cancers, Memorial Sloan-Kettering Cancer Center, New York, NY, USAAbstract: The rapidly emerging field of immunotherapy and the development of novel immunologic agents that have been approved in melanoma and successfully studied in lung cancer, kidney cancer, and prostate cancer have mandated that there be uniformity in clinical trial analysis beyond conventional survival endpoints and imaging. This includes some measure of determining whether the immunologic target is hit and how the treatment has impacted on the immune system in toto. While melanoma is leading the field towards these ends, there is some doubt that not all of the recent successes with immune therapies, for example, checkpoint inhibitors, will be effective for every cancer, and that the toxicities may also be different depending on the malignancy. This review serves to elucidate the current issues facing clinical investigators who perform immunologic trials targeted at patients with prostate cancer and discusses the challenges in assessing the right immunologic endpoints to demonstrate biologic/immunologic targeting leading to clinical benefit.Keywords: sipuleucel-T, prostate-specific antigen, prostate cancer, biomarkers, monoclonal antibodies, vaccines, cellular therapy

  4. Risk stratification in non-ST elevation acute coronary syndromes: Risk scores, biomarkers and clinical judgment

    Directory of Open Access Journals (Sweden)

    David Corcoran

    2015-09-01

    Clinical guidelines recommend an early invasive strategy in higher risk NSTE-ACS. The Global Registry of Acute Coronary Events (GRACE risk score is a validated risk stratification tool which has incremental prognostic value for risk stratification compared with clinical assessment or troponin testing alone. In emergency medicine, there has been a limited adoption of the GRACE score in some countries (e.g. United Kingdom, in part related to a delay in obtaining timely blood biochemistry results. Age makes an exponential contribution to the GRACE score, and on an individual patient basis, the risk of younger patients with a flow-limiting culprit coronary artery lesion may be underestimated. The future incorporation of novel cardiac biomarkers into this diagnostic pathway may allow for earlier treatment stratification. The cost-effectiveness of the new diagnostic pathways based on high-sensitivity troponin and copeptin must also be established. Finally, diagnostic tests and risk scores may optimize patient care but they cannot replace patient-focused good clinical judgment.

  5. Estimation of biomarkers berberine and gallic acid in polyherbal formulation punarnavashtak kwath and its clinical study for hepatoprotective potential

    OpenAIRE

    Shah V; Doshi D; Shah M; Bhatt P

    2010-01-01

    Punarnavashtak (PN) kwath is a classical Ayurvedic formulation mentioned in Ayurvedic literature "Bhaishyajyaratnavali" for hepatic disorders and asthma. Standardization and clinical trial to support its efficacy are lacking. So, in the present study, standardization of PN kwath was done by using biomarkers, gallic acid and berberine, and its hepatoprotective activity was evaluated by clinical study to rationalise the traditional use of this formulation. PN kwath was standardized by HPTLC (Hi...

  6. Biomarkers of systemic inflammation and depression and fatigue in moderate clinically stable COPD

    Directory of Open Access Journals (Sweden)

    Singh Dave

    2011-01-01

    Full Text Available Abstract Introduction COPD is an inflammatory disease with major co-morbidities. It has recently been suggested that depression may be the result of systemic inflammation. We aimed to explore the association between systemic inflammation and symptoms of depression and fatigue in patients with mainly moderate and clinically stable COPD using a range of inflammatory biomarkers, 2 depression and 2 fatigue scales. Method We assessed 120 patients with moderate COPD (FEV1% 52, men 62%, age 66. Depression was assessed using the BASDEC and CES-D scales. Fatigue was assessed using the Manchester COPD-fatigue scale (MCFS and the Borg scale before and after 6MWT. We measured systemic TNF-α, CRP, TNF-α-R1, TNF-α-R2 and IL-6. Results A multivariate linear model of all biomarkers showed that TNF-α only had a positive correlation with BASDEC depression score (p = 0.007. TNF-α remained positively correlated with depression (p = 0.024 after further adjusting for TNF-α-R1, TNF-α-R2, 6MWD, FEV1%, and pack-years. Even after adding the MCFS score, body mass and body composition to the model TNF-α was still associated with the BASDEC score (p = 0.044. Furthermore, patients with higher TNF-α level (> 3 pg/ml, n = 7 had higher mean CES-D depression score than the rest of the sample (p = 0.03. Borg fatigue score at baseline were weakly correlated with TNF-α and CRP, and with TNF-α only after 6MWT. Patients with higher TNF-α had more fatigue after 6MWD (p = 0.054. Conclusion This study indicates a possible association between TNF-α and two frequent and major co-morbidities in COPD; i.e., depression and fatigue.

  7. Microaneurysm turnover in the macula is a biomarker for development of clinically significant macular edema in type 2 diabetes

    Directory of Open Access Journals (Sweden)

    Ribeiro L

    2013-01-01

    Full Text Available Luisa Ribeiro, Sandrina Nunes, José Cunha-VazAssociation for Innovation and Biomedical Research on Light and Image and Faculty of Medicine, University of Coimbra, Coimbra, PortugalAbstract: The evolution and progression of diabetic retinopathy varies between individuals and does not necessarily progress to vision loss in every patient. However, it is difficult in clinical practice to predict the clinical course and to identify which eyes will develop vision-threatening complications, ie, clinically significant macular edema or proliferative retinopathy. There is a clear need to identify biomarkers of disease progression. Microaneurysm turnover computed automatically in digital color fundus photography images using the RetmarkerDR is a good biomarker for worsening of retinopathy and development of clinically significant macular edema. For long-term prediction (ten years, a microaneurysm formation rate higher than two per year predicts development of clinically significant macular edema. For short-term prediction (2 years, a microaneurysm turnover rate lower than nine indicates that development of clinically significant macular edema is highly unlikely.Keywords: biomarker, diabetes type 2, diabetic retinopathy, microaneurysms, retina

  8. The Brave New World of clinical cancer research: Adaptive biomarker-driven trials integrating clinical practice with clinical research.

    Science.gov (United States)

    Berry, Donald A

    2015-05-01

    Clinical trials are the final links in the chains of knowledge and for determining the roles of therapeutic advances. Unfortunately, in an important sense they are the weakest links. This article describes two designs that are being explored today: platform trials and basket trials. Both are attempting to merge clinical research and clinical practice.

  9. Evolution of neurodegeneration-imaging biomarkers from clinically normal to dementia in the Alzheimer disease spectrum.

    Science.gov (United States)

    Knopman, David S; Jack, Clifford R; Lundt, Emily S; Weigand, Stephen D; Vemuri, Prashanthi; Lowe, Val J; Kantarci, Kejal; Gunter, Jeffrey L; Senjem, Matthew L; Mielke, Michelle M; Machulda, Mary M; Roberts, Rosebud O; Boeve, Bradley F; Jones, David T; Petersen, Ronald C

    2016-10-01

    The availability of antemortem biomarkers for Alzheimer's disease (AD) enables monitoring the evolution of neurodegenerative processes in real time. Pittsburgh compound B (PIB) positron emission tomography (PET) was used to select participants in the Mayo Clinic Study of Aging and the Mayo Alzheimer's Disease Research Center with elevated β-amyloid, designated as "A+," and hippocampal volume and (18)fluorodeoxyglucose (FDG) positron emission tomography were used to characterize participants as having evidence of neurodegeneration ("N+") at the baseline evaluation. There were 145 clinically normal (CN) A+ individuals, 62 persons with mild cognitive impairment (MCI) who were A+ and 20 with A+ AD dementia. Over a period of 1-6 years, MCI A+N+ individuals showed declines in medial temporal, lateral temporal, lateral parietal, and to a lesser extent, medial parietal regions for both FDG standardized uptake value ratio and gray matter volume that exceeded declines seen in the CN A+N+ group. The AD dementia group showed declines in the same regions on FDG standardized uptake value ratio and gray matter volume with rates that exceeded that in MCI A+N+. Expansion of regional involvement and faster rate of neurodegeneration characterizes progression in the AD pathway. PMID:27460147

  10. Cathepsin S, a new pruritus biomarker in clinical dandruff/seborrhoeic dermatitis evaluation.

    Science.gov (United States)

    Viodé, Cécile; Lejeune, Ophélie; Turlier, Virginie; Rouquier, Amandine; Casas, Christiane; Mengeaud, Valérie; Redoulès, Daniel; Schmitt, Anne-Marie

    2014-04-01

    Dandruff/seborrhoeic dermatitis (D/SD) is characterized by Malassezia colonization, impaired barrier function with subsequent inflammation, resulting in dandruff and itching. Histamine is one of the biomarkers of pruritus now widely used in treatment efficacy trials. The exact mechanism leading to histamine release and pruritus is not yet clear. However, it could involve cathepsin S, an activator of proteinase-activated receptor 2 (PAR2). The purpose of this study was to evaluate the levels of cathepsin S, PAR2 and histamine in patients with D/SD compared with healthy subjects through non-invasive sampling of the scalp and to correlate those markers with D/SD clinical parameters. A significant increase in the three biological markers was observed in the D/SD group versus healthy subjects, and those markers were correlated with clinical parameters. In conclusion, cathepsin S could be a potential marker of pruritus in D/SD and could help assessing the effect of treatments. PMID:24690038

  11. Trace elements in scalp hair and fingernails as biomarkers in clinical studies

    Directory of Open Access Journals (Sweden)

    Awad Abdalla Momen

    2015-01-01

    Full Text Available Context: There are accumulating evidences that the metabolism of several trace elements might have specific roles in clinical disorders and the pathogenesis of many diseases, such as diabetes mellitus (DM and hypertension (HT. Objectives: To validate the analytical procedure and compare the levels of Cd, Cr, Cu, Pb, and Zn in scalp hair (SH and fingernails (FN of patients. Furthermore, to prove that human tissues such as hair and nails are useful in the studies pertaining to chronic body exposure and good biomarkers in clinical studies. Setting and Design: Inductively coupled plasma optical emission spectroscopy operating conditions were carefully selected and well-optimised in order to maximise the sensitivity for the desired elements and to obtain the best precision and accuracy. Factors affecting analytical and biological variability of the concentrations under study were discussed and carefully optimised. Materials and Methods: Totally, 160 samples of SH and 130 FN were collected from occupants of urban population from different districts adjacent to Taif city, Kingdom of Saudi Arabia. Different analytical procedures were investigated, and the most reliable one was developed and validated. Method Validity: The validity of the method was checked by standard addition method. The recoveries were in the range of 96.2-105.7%. Results: Cd, Cr, Cu, and Pb levels in SH were significantly higher in DM and HT compared to control groups, whereas, Zn was significantly lower. Cd and Pb levels in FN were significantly higher in DM and HT, whereas, Cr and Zn were lower, and Cu was in the same levels as compared to the control group. Conclusion: These findings may be consistent with those obtained in other studies, confirming that the deficiency and efficiency of trace elements play a role in clinical disorders and the pathogenesis of many diseases.

  12. Traumatic brain injury produced by exposure to blasts, a critical problem in current wars: biomarkers, clinical studies, and animal models

    Science.gov (United States)

    Dixon, C. Edward

    2011-06-01

    Traumatic brain injury (TBI) resulting from exposure to blast energy released by Improvised Explosive Devices (IEDs) has been recognized as the "signature injury" of Operation Iraqi Freedom and Operation Enduring Freedom. Repeated exposure to mild blasts may produce subtle deficits that are difficult to detect and quantify. Several techniques have been used to detect subtle brain dysfunction including neuropsychological assessments, computerized function testing and neuroimaging. Another approach is based on measurement of biologic substances (e.g. proteins) that are released into the body after a TBI. Recent studies measuring biomarkers in CSF and serum from patients with severe TBI have demonstrated the diagnostic, prognostic, and monitoring potential. Advancement of the field will require 1) biochemical mining for new biomarker candidates, 2) clinical validation of utility, 3) technical advances for more sensitive, portable detectors, 4) novel statistical approach to evaluate multiple biomarkers, and 5) commercialization. Animal models have been developed to simulate elements of blast-relevant TBI including gas-driven shock tubes to generate pressure waves similar to those produced by explosives. These models can reproduce hallmark clinical neuropathological responses such as neuronal degeneration and inflammation, as well as behavioral impairments. An important application of these models is to screen novel therapies and conduct proteomic, genomic, and lipodomic studies to mine for new biomarker candidates specific to blast relevant TBI.

  13. Trends in qualifying biomarkers in drug safety. Consensus of the 2011 meeting of the Spanish Society of Clinical Pharmacology.

    Directory of Open Access Journals (Sweden)

    José A.G. eAgúndez

    2012-01-01

    Full Text Available In this paper we discuss the consensus view on the use of qualifying biomarkers in drug safety, raised within the frame of the XXIV meeting of the Spanish Society of Clinical Pharmacology held in Málaga (Spain in October, 2011.The widespread use of biomarkers as surrogate endpoints is a goal that scientists have long been pursuing. Thirty years ago, when molecular pharmacogenomics evolved, we anticipated that these genetic biomarkers would soon obviate the routine use of drug therapies in a way that patients should adapt to the therapy rather than the opposite. This expected revolution in routine clinical practice never took place as quickly nor with the intensity as initially expected.The concerted action of operating multicenter networks holds great promise for future studies to identify biomarkers related to drug toxicity and to provide better insight into the underlying pathogenesis. Today some pharmacogenomic advances are already widely accepted, but pharmacogenomics still needs further development to elaborate more precise algorithms and many barriers to implementing individualized medicine exist. We briefly discuss our view about these barriers and we provide suggestions and areas of focus to advance in the field.

  14. Validation of New Cancer Biomarkers

    DEFF Research Database (Denmark)

    Duffy, Michael J; Sturgeon, Catherine M; Söletormos, Georg;

    2015-01-01

    in advancing a newly discovered cancer candidate biomarker from pilot studies to clinical application. Four main steps are necessary for a biomarker to reach the clinic: analytical validation of the biomarker assay, clinical validation of the biomarker test, demonstration of clinical value from performance...... of the biomarker test, and regulatory approval. In addition to these 4 steps, all biomarker studies should be reported in a detailed and transparent manner, using previously published checklists and guidelines. Finally, all biomarker studies relating to demonstration of clinical value should be registered before...

  15. Explorative investigation of biomarkers of brain damage and coagulation system activation in clinical stroke differentiation

    DEFF Research Database (Denmark)

    Undén, Johan; Strandberg, Karin; Malm, Jan;

    2009-01-01

    INTRODUCTION: A simple and accurate method of differentiating ischemic stroke and intracerebral hemorrhage (ICH) is potentially useful to facilitate acute therapeutic management. Blood measurements of biomarkers of brain damage and activation of the coagulation system may potentially serve as nov......: This exploratory study indicated that blood levels of biomarkers GFAP and APC-PCI, prior to neuroimaging, may rule out ICH in a mixed stroke population.......INTRODUCTION: A simple and accurate method of differentiating ischemic stroke and intracerebral hemorrhage (ICH) is potentially useful to facilitate acute therapeutic management. Blood measurements of biomarkers of brain damage and activation of the coagulation system may potentially serve as novel...... diagnostic tools for stroke subtypes. METHODS: Ninety-seven stroke patients were prospectively investigated in a multicenter design with blood levels of brain biomarkers S100B, neuron specific enolase (NSE), glial fibrillary acidic protein (GFAP) as well as a coagulation biomarker, activated protein C...

  16. Clinical relevance of breast cancer-related genes as potential biomarkers for oral squamous cell carcinoma

    International Nuclear Information System (INIS)

    Squamous cell carcinoma of the oral cavity (OSCC) is a common cancer form with relatively low 5-year survival rates, due partially to late detection and lack of complementary molecular markers as targets for treatment. Molecular profiling of head and neck cancer has revealed biological similarities with basal-like breast and lung carcinoma. Recently, we showed that 16 genes were consistently altered in invasive breast tumors displaying varying degrees of aggressiveness. To extend our findings from breast cancer to another cancer type with similar characteristics, we performed an integrative analysis of transcriptomic and proteomic data to evaluate the prognostic significance of the 16 putative breast cancer-related biomarkers in OSCC using independent microarray datasets and immunohistochemistry. Predictive models for disease-specific (DSS) and/or overall survival (OS) were calculated for each marker using Cox proportional hazards models. We found that CBX2, SCUBE2, and STK32B protein expression were associated with important clinicopathological features for OSCC (peritumoral inflammatory infiltration, metastatic spread to the cervical lymph nodes, and tumor size). Consequently, SCUBE2 and STK32B are involved in the hedgehog signaling pathway which plays a pivotal role in metastasis and angiogenesis in cancer. In addition, CNTNAP2 and S100A8 protein expression were correlated with DSS and OS, respectively. Taken together, these candidates and the hedgehog signaling pathway may be putative targets for drug development and clinical management of OSCC patients

  17. Estimation of biomarkers berberine and gallic acid in polyherbal formulation punarnavashtak kwath and its clinical study for hepatoprotective potential

    Directory of Open Access Journals (Sweden)

    Shah V

    2010-01-01

    Full Text Available Punarnavashtak (PN kwath is a classical Ayurvedic formulation mentioned in Ayurvedic literature "Bhaishyajyaratnavali" for hepatic disorders and asthma. Standardization and clinical trial to support its efficacy are lacking. So, in the present study, standardization of PN kwath was done by using biomarkers, gallic acid and berberine, and its hepatoprotective activity was evaluated by clinical study to rationalise the traditional use of this formulation. PN kwath was standardized by HPTLC (High performance thin layer chromatography using gallic acid and berberine as biomarkers and was subjected to clinical study. For clinical study patients attending outpatient clinics, with an evidence of liver disease were included in the study. During the study period, patients who fulfilled inclusion criteria were randomly assigned. The recommended dose was 20 ml kwath daily for 8 weeks. All the patients underwent clinical examination and laboratory investigations for liver functions tests before the commencement of therapy. Thereafter, clinical assessments were done after 8 weeks of treatment. The results showed significant changes in liver functions tests [serum glutamate oxaloacetate transaminase (SGOT, serum glutamate pyruvate transaminase (SGPT, alkaline phosphatase (ALP, total bilirubin]. There was no report of adverse effects attributable to this formulation. Our results suggest that PN kwath showed significant hepatoprotective activity. Berberine and gallic acid were found to be 0.08 and 4.9%, respectively. Our results suggest that PN kwath showed significant hepatoprotective activity due to presence of various phytoconstituents and support its traditional uses in liver disorder.

  18. Development of liquid chromatography mass spectrometric methods for quantification of metabolites from cellular level to clinical biomarkers

    OpenAIRE

    Tohmola, Niina

    2015-01-01

    Metabolites are low molecular weight compounds participating in different functions of cellular systems. Metabolites can be used as diagnostic biomarkers for numerous diseases. Liquid chromatography tandem mass spectrometry (LC-MS/MS) is a powerful tool in quantification of metabolites from various sample matrices. Good sensitivity and specificity are the main benefits of the technique. Mass spectrometry is commonly used in industry, drug research and clinical diagnostics. Extensive validatio...

  19. Comparing clinical responses and the biomarkers of BDNF and cytokines between subthreshold bipolar disorder and bipolar II disorder

    OpenAIRE

    Tzu-Yun Wang; Sheng-Yu Lee; Shiou-Lan Chen; Yun-Hsuan Chang; Liang-Jen Wang; Po See Chen; Shih-Heng Chen; Chun-Hsien Chu; San-Yuan Huang; Nian-Sheng Tzeng; Chia-Ling Li; Yi-Lun Chung; Tsai-Hsin Hsieh; I Hui Lee; Kao Chin Chen

    2016-01-01

    Patients with subthreshold hypomania (SBP; subthreshold bipolar disorder) were indistinguishable from those with bipolar disorder (BP)-II on clinical bipolar validators, but their analyses lacked biological and pharmacological treatment data. Because inflammation and neuroprogression underlies BP, we hypothesized that cytokines and brain-derived neurotrophic factor (BDNF) are biomarkers for BP. We enrolled 41 drug-naïve patients with SBP and 48 with BP-II undergoing 12 weeks of pharmacologica...

  20. Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies

    OpenAIRE

    Fedele Vita; Scott Gary K; Wong Linda; Sensinger Kelly; Bowers Jessica; Benz Christopher C; Mattie Michael D; Ginzinger David; Getts Robert; Haqq Chris

    2006-01-01

    Abstract Background Recent studies indicate that microRNAs (miRNAs) are mechanistically involved in the development of various human malignancies, suggesting that they represent a promising new class of cancer biomarkers. However, previously reported methods for measuring miRNA expression consume large amounts of tissue, prohibiting high-throughput miRNA profiling from typically small clinical samples such as excision or core needle biopsies of breast or prostate cancer. Here we describe a no...

  1. National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: III. The 2014 Biomarker Working Group Report.

    Science.gov (United States)

    Paczesny, Sophie; Hakim, Frances T; Pidala, Joseph; Cooke, Kenneth R; Lathrop, Julia; Griffith, Linda M; Hansen, John; Jagasia, Madan; Miklos, David; Pavletic, Steven; Parkman, Robertson; Russek-Cohen, Estelle; Flowers, Mary E D; Lee, Stephanie; Martin, Paul; Vogelsang, Georgia; Walton, Marc; Schultz, Kirk R

    2015-05-01

    Biology-based markers to confirm or aid in the diagnosis or prognosis of chronic graft-versus-host disease (GVHD) after allogeneic hematopoietic cell transplantation or monitor its progression are critically needed to facilitate evaluation of new therapies. Biomarkers have been defined as any characteristic that is objectively measured and evaluated as an indicator of a normal biological or pathogenic process, or of a pharmacologic response to a therapeutic intervention. Applications of biomarkers in chronic GVHD clinical trials or patient management include the following: (1) diagnosis and assessment of chronic GVHD disease activity, including distinguishing irreversible damage from continued disease activity; (2) prognostic risk to develop chronic GVHD; and (3) prediction of response to therapy. Sample collection for chronic GVHD biomarkers studies should be well documented following established quality control guidelines for sample acquisition, processing, preservation, and testing, at intervals that are both calendar and event driven. The consistent therapeutic treatment of subjects and standardized documentation needed to support biomarker studies are most likely to be provided in prospective clinical trials. To date, no chronic GVHD biomarkers have been qualified for use in clinical applications. Since our previous chronic GVHD Biomarkers Working Group report in 2005, an increasing number of chronic GVHD candidate biomarkers are available for further investigation. This paper provides a 4-part framework for biomarker investigations: identification, verification, qualification, and application with terminology based on Food and Drug Administration and European Medicines Agency guidelines. PMID:25644957

  2. Cinnamaldehyde Derivative (CB-PIC Sensitizes Chemo-Resistant Cancer Cells to Drug-Induced Apoptosis via Suppression of MDR1 and its Upstream STAT3 and AKT Signalling

    Directory of Open Access Journals (Sweden)

    Jianzhong Xi

    2015-03-01

    Full Text Available Background/Aims: Our group reported that cinnamaldehyde derivative, (E-4-((2-(3-oxopop-1-enylphenoxymethylpyridinium malonic acid (CB-PIC induced apoptosis in hypoxic SW620 colorectal cancer cells via activation of AMP-activated protein kinase (AMPK and extracellular signal regulated kinase (ERK. Herein, sensitizing effect of CB-PIC was investigated in resistant cancer cells such as paclitaxel (PT resistant lung cancer cells (H460/PT, and Adriamycin (Adr resistant breast cancer (MCF7/Adr and colon cancer (HCT15/cos cells. Methods: Various drug resistant cell lines were treated with CB-PIC, and the signalling pathway and functional assay were explored by Western blot, Rhodamine assay, FACS, RT-PCR and MTT assay. Results: We found that CB-PIC effectively exerted cytotoxicity, increased sub G1 population and the cleaved form of poly (ADP-ribose polymerase (PARP and caspase 9 in drug resistant cancer cells. Furthermore, CB-PIC sensitized resistant cancer cells to adriamycin via downregulation of survival proteins such as survivin, Bcl-xL and Bcl-2, along with MDR1 suppression leading to accumulation of drug in the intracellular region. Of note, CB-PIC transcriptionally decreased MDR1 expression via suppression of STAT3 and AKT signalling in three resistant cancer cells with highly expressed P-glycoprotein. Nonetheless, CB-PIC did not affect transport activity of P-glycoprotein in a short time efflux assay, while epigallocatechin gallate (EGCG accumulated Rhodamine 123 into intracellular region of cell by direct inhibition of MDR1 transport activity. Conclusions: These data demonstrate that CB-PIC suppresses the P-glycoprotein expression through inhibition of STAT3 and AKT signalling to overcome drug resistance in chemo-resistant cancer cells as a potent chemotherapeutic sensitizer.

  3. Cross-validation of biomarkers for the early differential diagnosis and prognosis of dementia in a clinical setting

    Energy Technology Data Exchange (ETDEWEB)

    Perani, Daniela [Vita-Salute San Raffaele University, Milan (Italy); San Raffaele Scientific Institute, Division of Neuroscience, Milan (Italy); San Raffaele Hospital, Nuclear Medicine Unit, Milan (Italy); Cerami, Chiara [Vita-Salute San Raffaele University, Milan (Italy); San Raffaele Scientific Institute, Division of Neuroscience, Milan (Italy); San Raffaele Hospital, Clinical Neuroscience Department, Milan (Italy); Caminiti, Silvia Paola [Vita-Salute San Raffaele University, Milan (Italy); San Raffaele Scientific Institute, Division of Neuroscience, Milan (Italy); Santangelo, Roberto; Coppi, Elisabetta; Ferrari, Laura; Magnani, Giuseppe [San Raffaele Hospital, Department of Neurology, Milan (Italy); Pinto, Patrizia [Papa Giovanni XXIII Hospital, Department of Neurology, Bergamo (Italy); Passerini, Gabriella [Servizio di Medicina di Laboratorio OSR, Milan (Italy); Falini, Andrea [Vita-Salute San Raffaele University, Milan (Italy); San Raffaele Scientific Institute, Division of Neuroscience, Milan (Italy); San Raffaele Hospital, CERMAC - Department of Neuroradiology, Milan (Italy); Iannaccone, Sandro [San Raffaele Hospital, Clinical Neuroscience Department, Milan (Italy); Cappa, Stefano Francesco [San Raffaele Scientific Institute, Division of Neuroscience, Milan (Italy); IUSS Pavia, Pavia (Italy); Comi, Giancarlo [Vita-Salute San Raffaele University, Milan (Italy); San Raffaele Hospital, Department of Neurology, Milan (Italy); Gianolli, Luigi [San Raffaele Hospital, Nuclear Medicine Unit, Milan (Italy)

    2016-03-15

    The aim of this study was to evaluate the supportive role of molecular and structural biomarkers (CSF protein levels, FDG PET and MRI) in the early differential diagnosis of dementia in a large sample of patients with neurodegenerative dementia, and in determining the risk of disease progression in subjects with mild cognitive impairment (MCI). We evaluated the supportive role of CSF Aβ{sub 42}, t-Tau, p-Tau levels, conventional brain MRI and visual assessment of FDG PET SPM t-maps in the early diagnosis of dementia and the evaluation of MCI progression. Diagnosis based on molecular biomarkers showed the best fit with the final diagnosis at a long follow-up. FDG PET SPM t-maps had the highest diagnostic accuracy in Alzheimer's disease and in the differential diagnosis of non-Alzheimer's disease dementias. The p-tau/Aβ{sub 42} ratio was the only CSF biomarker providing a significant classification rate for Alzheimer's disease. An Alzheimer's disease-positive metabolic pattern as shown by FDG PET SPM in MCI was the best predictor of conversion to Alzheimer's disease. In this clinical setting, FDG PET SPM t-maps and the p-tau/Aβ{sub 42} ratio improved clinical diagnostic accuracy, supporting the importance of these biomarkers in the emerging diagnostic criteria for Alzheimer's disease dementia. FDG PET using SPM t-maps had the highest predictive value by identifying hypometabolic patterns in different neurodegenerative dementias and normal brain metabolism in MCI, confirming its additional crucial exclusionary role. (orig.)

  4. Cross-validation of biomarkers for the early differential diagnosis and prognosis of dementia in a clinical setting

    International Nuclear Information System (INIS)

    The aim of this study was to evaluate the supportive role of molecular and structural biomarkers (CSF protein levels, FDG PET and MRI) in the early differential diagnosis of dementia in a large sample of patients with neurodegenerative dementia, and in determining the risk of disease progression in subjects with mild cognitive impairment (MCI). We evaluated the supportive role of CSF Aβ42, t-Tau, p-Tau levels, conventional brain MRI and visual assessment of FDG PET SPM t-maps in the early diagnosis of dementia and the evaluation of MCI progression. Diagnosis based on molecular biomarkers showed the best fit with the final diagnosis at a long follow-up. FDG PET SPM t-maps had the highest diagnostic accuracy in Alzheimer's disease and in the differential diagnosis of non-Alzheimer's disease dementias. The p-tau/Aβ42 ratio was the only CSF biomarker providing a significant classification rate for Alzheimer's disease. An Alzheimer's disease-positive metabolic pattern as shown by FDG PET SPM in MCI was the best predictor of conversion to Alzheimer's disease. In this clinical setting, FDG PET SPM t-maps and the p-tau/Aβ42 ratio improved clinical diagnostic accuracy, supporting the importance of these biomarkers in the emerging diagnostic criteria for Alzheimer's disease dementia. FDG PET using SPM t-maps had the highest predictive value by identifying hypometabolic patterns in different neurodegenerative dementias and normal brain metabolism in MCI, confirming its additional crucial exclusionary role. (orig.)

  5. Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study.

    Science.gov (United States)

    Chen, Hong; Song, Zhenju; Qian, Mengjia; Bai, Chunxue; Wang, Xiangdong

    2012-06-01

    Systemic inflammation is a major factor influencing the outcome and quality of patient with chronic obstructive pulmonary disease (COPD) and acute exacerbations (AECOPD). Because of the inflammatory complexity, a great challenge is still confronted to optimize the identification and validation of disease-specific biomarkers. This study aimed at developing a new protocol of specific biomarker evaluation by integrating proteomic profiles of inflammatory mediators with clinical informatics in AECOPD patients, understand better their function and signal networks. Plasma samples were collected from healthy non-smokers or patients with stable COPD (sCOPD) or AECOPD on days 1 and 3 of the admission and discharging day (day 7-10). Forty chemokines were measured using a chemokine multiplex antibody array. Clinical informatics was achieved by a Digital Evaluation Score System (DESS) for assessing severity of patients. Chemokine data was compared among different groups and its correlation with DESS scores was performed by SPSS software. Of 40 chemokines, 30 showed significant difference between sCOPD patients and healthy controls, 16 between AECOPD patients and controls and 13 between AECOPD patients and both sCOPD and controls, including BTC, IL-9, IL-18Bpa, CCL22,CCL23, CCL25, CCL28, CTACK, LIGHT, MSPa, MCP-3, MCP-4 and OPN. Of them, some had significant correlation with DESS scores. There is a disease-specific profile of inflammatory mediators in COPD and AECOPD patients which may have a potential diagnostics together with clinical informatics of patients. Our preliminary study suggested that integration of proteomics with clinical informatics can be a new way to validate and optimize disease-special biomarkers. PMID:21883889

  6. Understanding inflammation in juvenile idiopathic arthritis: How immune biomarkers guide clinical strategies in the systemic onset subtype.

    Science.gov (United States)

    Swart, Joost F; de Roock, Sytze; Prakken, Berent J

    2016-09-01

    The translation of basic insight in immunological mechanisms underlying inflammation into clinical practice of inflammatory diseases is still challenging. Here we describe how-through continuous dialogue between bench and bedside-immunological knowledge translates into tangible clinical use in a complex inflammatory disease, juvenile idiopathic arthritis (JIA). Systemic JIA (sJIA) is an autoinflammatory disease, leading to the very successful use of IL-1 antagonists. Further immunological studies identified new immune markers for diagnosis, prediction of complications, response to and successful withdrawal of therapy. Myeloid related protein (MRP)8, MRP14, S100A12, and Interleukin-18 are already used daily in clinic as markers for active sJIA. For non-sJIA subtypes, HLA-B27, antinuclear-antibodies, rheumatoid factor, erythrocyte sedimentation rate, and C-reactive protein are still used for classification, prognosis or active disease. MRP8, MRP14, and S100A12 are now under study for clinical practice. We believe that with biomarkers, algorithms can soon be designed for the individual risk of disease, complications, damage, prediction of response to, and successful withdrawal of therapy. In that way, less time will be lost and less pain will be suffered by the patients. In this review, we describe the current status of immunological biomarkers used in diagnosis and treatment of JIA. PMID:27461267

  7. Milk and blood biomarkers associated to the clinical efficacy of a probiotic for the treatment of infectious mastitis.

    Science.gov (United States)

    Espinosa-Martos, I; Jiménez, E; de Andrés, J; Rodríguez-Alcalá, L M; Tavárez, S; Manzano, S; Fernández, L; Alonso, E; Fontecha, J; Rodríguez, J M

    2016-06-01

    Previous studies have shown the efficacy of oral administration of selected lactobacilli strains to treat mastitis. The objective of this study was to find microbiological, biochemical and/or immunological biomarkers of the probiotic effect. Women with (n=23) and without (n=8) symptoms of mastitis received three daily doses (10(9) cfu) of Lactobacillus salivarius PS2 for 21 days. Samples of milk, blood and urine were collected before and after the probiotic intervention, and screened for a wide spectrum of microbiological, biochemical and immunological parameters. In the mastitis group, L. salivarius PS2 intake led to a reduction in milk bacterial counts, milk and blood leukocyte counts and interleukin (IL)-8 level in milk, an increase in those of immunoglobulin (Ig)E, IgG3, epidermal growth factor and IL-7, a modification of the milk electrolyte profile, and a reduction of some oxidative stress biomarkers. Such biomarkers will be useful in future clinical studies involving a larger cohort. PMID:26925605

  8. Predictive biomarker discovery through the parallel integration of clinical trial and functional genomics datasets

    DEFF Research Database (Denmark)

    Swanton, C.; Larkin, J.M.; Gerlinger, M.;

    2010-01-01

    The EU multi-disciplinary personalised RNA interference to enhance the delivery of individualised chemotherapeutics and targeted therapies (PREDICT) consortium has recently initiated a framework to accelerate the development of predictive biomarkers of individual patient response to anti-cancer a...

  9. A Critical Assessment of Feature Selection Methods for Biomarker Discovery in Clinical Proteomics

    NARCIS (Netherlands)

    Christin, Christin; Hoefsloot, Huub C. J.; Smilde, Age K.; Hoekman, B.; Suits, Frank; Bischoff, Rainer; Horvatovich, Peter

    2013-01-01

    In this paper, we compare the performance of six different feature selection methods for LC-MS-based proteomics and metabolomics biomarker discovery-t test, the Mann-Whitney-Wilcoxon test (mww test), nearest shrunken centroid (NSC), linear support vector machine-recursive features elimination (SVM-R

  10. Disease-specific dynamic biomarkers selected by integrating inflammatory mediators with clinical informatics in ARDS patients with severe pneumonia.

    Science.gov (United States)

    Chen, Chengshui; Shi, Lin; Li, Yuping; Wang, Xiangdong; Yang, Shuanying

    2016-06-01

    Acute respiratory distress syndrome (ARDS) is a heterogeneous syndrome that occurs as a result of various risk factors, including either direct or indirect lung injury, and systemic inflammation triggered also by severe pneumonia (SP). SP-ARDS-associated morbidity and mortality remains high also due to the lack of disease-specific biomarkers. The present study aimed at identifying disease-specific biomarkers in SP or SP-ARDS by integrating proteomic profiles of inflammatory mediators with clinical informatics. Plasma was sampled from the healthy as controls or patients with SP infected with bacteria or infection-associated SP-ARDS on the day of admission, day 3, and day 7. About 15 or 52 cytokines showed significant difference between SP and SP-ARDS patients with controls or 13 between SP-ARDS with SP alone and controls, including bone morphogenetic protein-15 (BMP-15), chemokine (C-X-C motif) ligand 16 (CXCL16), chemokine (C-X-C motif) receptor 3 (CXCR3), interleukin-6 (IL-6), protein NOV homolog (NOV/CCN3), glypican 3, insulin-like growth factor binding protein 4 (IGFBP-4), IL-5, IL-5 R alpha, IL-22 BP, leptin, MIP-1d, and orexin B with a significant correlation with Digital Evaluation Score System (DESS) scores. ARDS patients with overexpressed IL-6, CXCL16, or IGFBP-4 had significantly longer hospital stay and higher incidence of secondary infection. We also found higher levels of those mediators were associated with poor survival rates in patients with lung cancer and involved in the process of the epithelial mesenchymal transition of alveolar epithelial cells. Our preliminary study suggested that integration of proteomic profiles with clinical informatics as part of clinical bioinformatics is important to validate and optimize disease-specific and disease-staged biomarkers. PMID:27095254

  11. Correlation between molecular biomarkers and risk factors for the clinical progression of benign prostatic hyperplasia using tissue microarray immunostaining

    Institute of Scientific and Technical Information of China (English)

    Ma Ding; Yang Bing; Zhou Zhe; Pan Dongliang; Zhang Xianghua

    2014-01-01

    Background The pathogenesis of benign prostatic hyperplasia (BPH) has been widely studied,and several biomarkers are known to play roles in its development.This study aimed to investigate the possible role of cysteine-rich protein 61 (CYR61),vascular endothelial growth factor (VEGF),androgen receptor (AR),interleukin-6 (IL-6),cytochrome c,caspase-3,and proliferating cell nuclear antigen (PCNA) in the clinical progression of BPH.Methods Tissue specimens from 96 BPH cases who underwent transurethral resection of the prostate were processed and transferred to tissue microarrays.Patient age,prostate volume,serum prostate-specific antigen (PSA) level,and International Prostate Symptom Score (IPSS) of all BPH cases were collected before surgery.The expression of CYR61,VEGF,AR,IL-6,cytochrome c,caspase-3,and PCNA was examined by immunostaining in the BPH specimens,and any possible correlation between the different biomarkers and risk factors for BPH clinical progression was analyzed.Results The expression of CYR61,VEGF,AR,IL-6,cytochrome c,caspase-3,and PCNA in the BPH cases was 68.8% (66/96),77.1% (74/96),43.8% (42/96),31.3% (30/96),35.4% (34/96),56.3% (54/96),and 29.2% (28/96),respectively.The expression of both CYR61 and VEGF was positively correlated with patient age,prostate volume,and serum PSA level (P <0.05).Furthermore,cytochrome c and caspase-3 expression were inversely related to prostate volume (P <0.05),and AR expression was positively related to serum PSA level (P <0.05).Conclusion CYR61 and VEGF expression might serve as biomarkers for predicting the clinical progression of BPH due to effects on stromal cell proliferation and angiogenesis.

  12. Validation of nanodiamond-extracted CFP-10 antigen as a biomarker in clinical isolates of Mycobacterium tuberculosis complex in broth culture media.

    Science.gov (United States)

    Soo, Po-Chi; Horng, Yu-Tze; Chen, Ai-Ti; Yang, Shih-Chieh; Chang, Kai-Chih; Lee, Jen-Jyh; Peng, Wen-Ping

    2015-09-01

    With detonation nanodiamonds (DNDs) and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS), we previously identified early secreted cell filtrate protein 10 (CFP-10) as a candidate Mycobacterium tuberculosis complex (MTC) biomarker. The performance of the CFP-10 biomarker was initially evaluated in relatively small mycobacterial samples (n = 42 samples) in our previous study. In this study, we conducted DND MALDI-TOF MS experiments to investigate the specificity and sensitivity of the MTC biomarker with 312 MTC and 52 nontuberculous mycobacteria (NTM) clinical samples. The frequency and intensity of the acquired CFP-10 mass-to-charge (m/z) peaks were checked with a program to validate that the singly and doubly charged CFP-10 antigen can be treated as a MTC biomarker. We confirmed that by detecting the singly charged species of CFP-10 antigen, the sensitivity and the specificity of MTC samples could reach 97.4% and 100% and no CFP-10 biomarker could be found in NTM samples. This indicates with CFP-10 biomarker it is easy to distinguish MTC from NTM. Besides, the observed intensity ratio of singly and doubly charged species of CFP-10 antigen was 3.3 ± 2.6 and the CFP-10 antigen could maintain good signal intensity for a week. Our results suggest that, with the DND MALDI-TOF mass spectrometry approach, CFP-10 antigen can be used as an early diagnosis biomarker in clinical practice. PMID:26071665

  13. Issues on fit-for-purpose validation of a panel of ELISAs for application as biomarkers in clinical trials of anti-Angiogenic drugs

    OpenAIRE

    Brookes, K; Cummings, J; Backen, A; Greystoke, A; Ward, T.; Jayson, G C; Dive, C

    2010-01-01

    Background: Successful introduction of new anticancer agents into the clinic is often hampered by a lack of qualified biomarkers. Studies have been conducted of 17 ELISAs representing a potential panel of pharmacodynamic/predictive biomarkers for drugs targeted to tumour vasculature. Methods: The fit-for-purpose approach to method validation was used. Stability studies were performed using recombinant proteins in surrogate matrices, endogenous analytes in healthy volunteer and cancer patient ...

  14. Clinical relevance of different biomarkers in imported plasmodium falciparum malaria in adults: a case control study

    OpenAIRE

    Stauga, Sabine; Hahn, Andreas; Brattig, Norbert W.; Fischer-Herr, Johanna; Baldus, Stephan; Burchard, Gerd D; Cramer, Jakob P.

    2013-01-01

    Background For rapid initiation of anti-malarial treatment and prevention of complications, early diagnosis and risk stratification is important in patients with Plasmodium falciparum malaria. Routine laboratory values do not correlate well with disease severity. The aim of this study was to determine the diagnostic and prognostic value of several biomarkers related to inflammation; endothelial and cardiac dysfunction; coagulation, and haemolysis in imported P. falciparum malaria. Methods In ...

  15. CLINICAL SIGNIFICANCE AND EFFECTIVENESS OF VARIOUS SERUM BIOMARKERS IN DIAGNOSIS OF MYOCARDIAL INFARCTION

    OpenAIRE

    Harpreet Kaur*, Shalini Gupta, Minni Verma, Kamaljit Singh and Jagmohan Singh

    2013-01-01

    Myocardial infarction (MI) causes significant mortality and morbidity. Timely diagnosis allows clinicians to risk stratify their patients and select appropriate treatment. Biochemical markers play a pivotal role in the diagnosis and management of patients with acute myocardial infarction. The older biomarkers like aspartate transaminase, creatine kinase, lactate dehydrogenase has lost their utility due to lack of specificity and limited sensitivity. This paper reviews the current contribution...

  16. Clinical Significance of Cerebrovascular Biomarkers and White Matter Tract Integrity in Alzheimer Disease

    OpenAIRE

    Wu, Ming-Kung; Lu, Yan-Ting; Huang, Chi-Wei; Lin, Pin-Hsuan; Chen, Nai-Ching; Lui, Chun-Chung; Chang, Wen-Neng; Lee, Chen-Chang; Chang, Ya-Ting; Chen, Sz-Fan; Chang, Chiung-Chih

    2015-01-01

    Abstract Cerebrovascular risk factors and white matter (WM) damage lead to worse cognitive performance in Alzheimer dementia (AD). This study investigated WM microstructure using diffusion tensor imaging in patients with mild to moderate AD and investigated specific fiber tract involvement with respect to predefined cerebrovascular risk factors and neurobehavioral data prediction cross-sectionally and after 18 months. To identify the primary pathoanatomic relationships of risk biomarkers to f...

  17. Analysis of a Urinary Biomarker Panel for Obstructive Nephropathy and Clinical Outcomes

    OpenAIRE

    Yuanyuan Xie; Wei Xue; Xinghua Shao; Xiajing Che; Weijia Xu; Zhaohui Ni; Shan Mou

    2014-01-01

    OBJECTIVES: To follow up renal function changes in patients with obstructive nephropathy and to evaluate the predictive value of biomarker panel in renal prognosis. METHODS: A total of 108 patients with obstructive nephropathy were enrolled in the study; 90 patients completed the follow-up. At multiple time points before and after obstruction resolution, urinary samples were prospectively collected in patients with obstructive nephropathy; the levels of urinary kidney injury molecule-1 (uKIM-...

  18. Evaluation and clinical application of ethyl glucuronide and ethyl sulfate as biomarkers for recent alcohol consumption

    OpenAIRE

    Dahl, Helen

    2011-01-01

    In recent years, there has been a growing interest in various biochemical markers for detecting acute and chronic alcohol consumption. Biochemical markers for acute and chronic drinking play important roles in detecting alcohol use, abuse and dependence in hospital settings, work place settings, traffic medicine and in forensic toxicology examinations. The alcohol biomarkers can be distinguished into two main classes: “short-term markers” and “long-term markers”. Short-term mar...

  19. New concepts and challenges in the clinical translation of cancer preventive therapies: the role of pharmacodynamic biomarkers.

    Science.gov (United States)

    Brown, Karen; Rufini, Alessandro

    2015-01-01

    Implementation of therapeutic cancer prevention strategies has enormous potential for reducing cancer incidence and related mortality. Trials of drugs including tamoxifen and aspirin have led the way in demonstrating proof-of-principle that prevention of breast and colorectal cancer is feasible. Many other compounds ranging from drugs in widespread use for various indications, including metformin, bisphosphonates, and vitamin D, to dietary agents such as the phytochemicals resveratrol and curcumin, show preventive activity against several cancers in preclinical models. Notwithstanding the wealth of opportunities, major challenges have hindered the development process and only a handful of therapies are currently approved for cancer risk reduction. One of the major obstacles to successful clinical translation of promising preventive agents is a lack of pharmacodynamic biomarkers to provide an early read out of biological activity in humans and for optimising doses to take into large scale randomised clinical trials. A further confounding factor is a lack of consideration of clinical pharmacokinetics in the design of preclinical experiments, meaning results are frequently reported from studies that use irrelevant or unachievable concentrations. This article focuses on recent findings from investigations with dietary-derived agents to illustrate how a thorough understanding of the mechanisms of action, using models that mimic the clinical scenario, together with the development of compound-specific accompanying pharmacodynamic biomarkers could accelerate the developmental pipeline for preventive agents and maximise the chances of success in future clinical trials. Moreover, the concept of a bell-shaped dose-response curve for therapeutic cancer prevention is discussed, along with the need to rethink the traditional 'more is better' approach for dose selection. PMID:26635905

  20. Clinical significance of serological biomarkers and neuropsychological performances in patients with temporal lobe epilepsy

    Directory of Open Access Journals (Sweden)

    Chang Chiung-Chih

    2012-03-01

    Full Text Available Abstract Background Temporal lobe epilepsy (TLE is a common form of focal epilepsy. Serum biomarkers to predict cognitive performance in TLE patients without psychiatric comorbidities and the link with gray matter (GM atrophy have not been fully explored. Methods Thirty-four patients with TLE and 34 sex - and age-matched controls were enrolled for standardized cognitive tests, neuroimaging studies as well as measurements of serum levels of heat shock protein 70 (HSP70, S100ß protein (S100ßP, neuronal specific enolase (NSE, plasma nuclear and mitochondrial DNA levels. Results Compared with the controls, the patients with TLE had poorer cognitive performances and higher HSP70 and S100ßP levels (p p p p = 0.01 and early recall score (σ = −0.304, p = 0.007. Compared with the controls, gray matter atrophy in the hippocampal and parahippocampal areas, putamen, thalamus and supplementary motor areas were found in the patient group. The HSP70 levels showed an inverse correlation with hippocampal volume (R square = 0.22, p = 0.007 after controlling for the effect of age. Conclusions Our results suggest that serum biomarkers were predictive of higher frequencies of seizures in the TLE group. HSP70 may be considered to be a stress biomarker in patients with TLE in that it correlated inversely with memory scores and hippocampal volume. In addition, the symmetric extratemporal atrophic patterns may be related to damage of neuronal networks and epileptogenesis in TLE.

  1. New sepsis biomarkers

    Institute of Scientific and Technical Information of China (English)

    Dolores Limongi; Cartesio DAgostini; Marco Ciotti

    2016-01-01

    Sepsis remains a leading cause of death in the intensive care units and in all age groups worldwide. Early recognition and diagnosis are key to achieving improved outcomes. Therefore, novel biomarkers that might better inform clinicians treating such patients are surely needed. The main attributes of successful biomarkers would be high sensitivity, specificity, possibility of bedside monitoring and financial accessibility. A panel of sepsis biomarkers along with currently used laboratory tests will facilitate earlier diagnosis, timely treatment and improved outcome may be more effective than single biomarkers. In this review, we summarize the most recent advances on sepsis biomarkers evaluated in clinical and experimental studies.

  2. Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies

    Directory of Open Access Journals (Sweden)

    Fedele Vita

    2006-06-01

    Full Text Available Abstract Background Recent studies indicate that microRNAs (miRNAs are mechanistically involved in the development of various human malignancies, suggesting that they represent a promising new class of cancer biomarkers. However, previously reported methods for measuring miRNA expression consume large amounts of tissue, prohibiting high-throughput miRNA profiling from typically small clinical samples such as excision or core needle biopsies of breast or prostate cancer. Here we describe a novel combination of linear amplification and labeling of miRNA for highly sensitive expression microarray profiling requiring only picogram quantities of purified microRNA. Results Comparison of microarray and qRT-PCR measured miRNA levels from two different prostate cancer cell lines showed concordance between the two platforms (Pearson correlation R2 = 0.81; and extension of the amplification, labeling and microarray platform was successfully demonstrated using clinical core and excision biopsy samples from breast and prostate cancer patients. Unsupervised clustering analysis of the prostate biopsy microarrays separated advanced and metastatic prostate cancers from pooled normal prostatic samples and from a non-malignant precursor lesion. Unsupervised clustering of the breast cancer microarrays significantly distinguished ErbB2-positive/ER-negative, ErbB2-positive/ER-positive, and ErbB2-negative/ER-positive breast cancer phenotypes (Fisher exact test, p = 0.03; as well, supervised analysis of these microarray profiles identified distinct miRNA subsets distinguishing ErbB2-positive from ErbB2-negative and ER-positive from ER-negative breast cancers, independent of other clinically important parameters (patient age; tumor size, node status and proliferation index. Conclusion In sum, these findings demonstrate that optimized high-throughput microRNA expression profiling offers novel biomarker identification from typically small clinical samples such as breast

  3. Presepsin is an early monitoring biomarker for predicting clinical outcome in patients with sepsis.

    Science.gov (United States)

    Ali, Fahmy T; Ali, Mohamed A M; Elnakeeb, Mostafa M; Bendary, Heba N M

    2016-09-01

    Despite their undoubted helpfulness in diagnosing sepsis, increased blood C-reactive protein (CRP) and procalcitonin (PCT) levels have been described in many noninfectious conditions. Presepsin is a soluble fragment of the cluster of differentiation 14 involved in pathogen recognition by innate immunity. We aimed to investigate the diagnostic and prognostic performance of presepsin in comparison to PCT and CRP in patients presenting with systemic inflammatory response syndrome (SIRS) and suspected sepsis. Seventy-six subjects were enrolled in this study, including 51 patients with SIRS as well as 25 healthy subjects. Plasma presepsin, PCT and CRP levels were serially measured on admission and at days 1, 3, 7 and 15. Presepsin and PCT yielded similar diagnostic accuracy, whereas presepsin performed significantly better than CRP. Presepsin and PCT showed comparable performance for predicting 28-day mortality, and both biomarkers performed significantly better than CRP. In septic patients, presepsin revealed earlier concentration changes over time when compared to PCT and CRP. Presepsin and PCT could differentiate between septic and non-septic patients with comparable accuracy and both biomarkers showed similar performance for predicting 28-day mortality. Early changes in presepsin concentrations might reflect the appropriateness of the therapeutic modality and could be useful for making effective treatment decisions. PMID:27353646

  4. Cerebrospinal Fluid Inflammatory Biomarkers Reflect Clinical Severity in Huntington’s Disease

    Science.gov (United States)

    Byrne, Lauren M.; McColgan, Peter; Robertson, Nicola; Tabrizi, Sarah J.; Zetterberg, Henrik; Wild, Edward J.

    2016-01-01

    Introduction Immune system activation is involved in Huntington’s disease (HD) pathogenesis and biomarkers for this process could be relevant to study the disease and characterise the therapeutic response to specific interventions. We aimed to study inflammatory cytokines and microglial markers in the CSF of HD patients. Methods CSF TNF-α, IL-1β, IL-6, IL-8, YKL-40, chitotriosidase, total tau and neurofilament light chain (NFL) from 23 mutation carriers and 14 healthy controls were assayed. Results CSF TNF-α and IL-1β were below the limit of detection. Mutation carriers had higher YKL-40 (p = 0.003), chitotriosidase (p = 0.015) and IL-6 (p = 0.041) than controls. YKL-40 significantly correlated with disease stage (p = 0.007), UHDRS total functional capacity score (r = -0.46, p = 0.016), and UHDRS total motor score (r = 0.59, p = 4.5*10−4) after adjustment for age. Conclusion YKL-40 levels in CSF may, after further study, come to have a role as biomarkers for some aspects of HD. Further investigation is needed to support our exploratory findings. PMID:27657730

  5. Systematic screening of imaging biomarkers for the Islets of Langerhans, among clinically available positron emission tomography tracers

    International Nuclear Information System (INIS)

    Introduction: Functional imaging could be utilized for visualizing pancreatic islets of Langerhans. Therefore, we present a stepwise algorithm for screening of clinically available positron emission tomography (PET) tracers for their use in imaging of the neuroendocrine pancreas in the context of diabetes. Methods: A stepwise procedure was developed for screening potential islet imaging agents. Suitable PET-tracer candidates were identified by their molecular mechanism of targeting. Clinical abdominal examinations were retrospectively analyzed for pancreatic uptake and retention. The target protein localization in the pancreas was assessed in silico by –omics approaches and the in vitro by binding assays to human pancreatic tissue. Results: Six putative candidates were identified and screened by using the stepwise procedure. Among the tested PET tracers, only [11C]5-Hydroxy-tryptophan passed all steps. The remaining identified candidates were falsified as candidates and discarded following in silico and in vitro screening. Conclusions: Of the six clinically available PET tracers identified, [11C]5-HTP was found to be a promising candidate for beta cell imaging, based on intensity of in vivo pancreatic uptake in humans, and islet specificity as assessed on human pancreatic cell preparations. The flow scheme described herein constitutes a methodology for evaluating putative islet imaging biomarkers among clinically available PET tracers

  6. Autonomic involvement in Parkinson's disease: pathology, pathophysiology, clinical features and possible peripheral biomarkers.

    Science.gov (United States)

    Cersosimo, Maria G; Benarroch, Eduardo E

    2012-02-15

    Autonomic nervous system involvement occurs at early stages in both Parkinson's disease (PD) and incidental Lewy body disease (ILBD), and affects the sympathetic, parasympathetic, and enteric nervous systems (ENS). It has been proposed that alpha-synuclein (α-SYN) pathology in PD has a distal to proximal progression along autonomic pathways. The ENS is affected before the dorsal motor nucleus of the vagus (DMV), and distal axons of cardiac sympathetic nerves degenerate before there is loss of paravertebral sympathetic ganglion neurons. Consistent with neuropathological findings, some autonomic manifestations such as constipation or impaired cardiac uptake of norepinephrine precursors, occur at early stages of the disease even before the onset of motor symptoms. Biopsy of peripheral tissues may constitute a promising approach to detect α-SYN neuropathology in autonomic nerves and a useful early biomarker of PD.

  7. Quantitative comparison of DNA methylation assays for biomarker development and clinical applications

    DEFF Research Database (Denmark)

    Bock, Christoph; Halbritter, Florian; Carmona, Francisco J;

    2016-01-01

    Abstract DNA methylation patterns are altered in numerous diseases and often correlate with clinically relevant information such as disease subtypes, prognosis and drug response. With suitable assays and after validation in large cohorts, such associations can be exploited for clinical diagnostic...

  8. Improving biological relevancy of transcriptional biomarkers experiments by applying the MIQE guidelines to pre-clinical and clinical trials.

    Science.gov (United States)

    Dooms, M; Chango, A; Barbour, E; Pouillart, P; Abdel Nour, A M

    2013-01-01

    The "Minimum Information for the Publication of qPCR Experiments" (MIQE [3]) guidelines are very much targeted at basic research experiments and have to our knowledge not been applied to qPCR assays carried out in the context of clinical trials. This report details the use of the MIQE qPCR app for iPhone (App Store, Apple) to assess the MIQE compliance of one clinical and five pre-clinical trials. This resulted in the need to include 14 modifications that make the guidelines more relevant for the assessment of this special type of application. We also discuss the need for flexibility, since while some parameters increase experimental quality, they also require more reagents and more time, which is not always feasible in a clinical setting. PMID:22910527

  9. Lenalidomide and metronomic melphalan for CMML and higher risk MDS: a phase 2 clinical study with biomarkers of angiogenesis.

    Science.gov (United States)

    Buckstein, Rena; Kerbel, Robert; Cheung, Matthew; Shaked, Yuval; Chodirker, Lisa; Lee, Christina R; Lenis, Martha; Davidson, Cindy; Cussen, Mary-Anne; Reis, Marciano; Chesney, Alden; Zhang, Liying; Mamedov, Alexandre; Wells, Richard A

    2014-07-01

    Metronomic, low dose chemotherapy may have anti-angiogenic effects and augment the effects of lenalidomide in MDS and CMML. We evaluated the clinical efficacy, tolerability and anti-angiogenic effects of melphalan 2mg and lenalidomide 10mg for 21 days/28 in CMML (n=12) and higher risk MDS (n=8) patients in a prospective phase II study. The primary endpoint was overall response and secondary endpoints included survival, progression-free survival, toxicity and biomarkers of angiogenesis. The median age was 73 years, 55% were pretreated and transfusion dependent. The overall response rate was 3(15%) of 19 evaluable patients but 25% in CMML and 33% in pCMML. Dose reductions and/or delays were common due to myelosuppression. Transient spikes in circulating endothelial cells that declined below baseline were seen in responders and patients with CMML, suggesting anti-angiogenic activity. In conclusion, lenalidomide and metronomic low dose melphalan demonstrate signals of clinical and possible anti-angiogenic activity in patients with pCMML that require future validation. This trial was registered at clinicaltrial.gov under # NCT00744536. PMID:24819395

  10. Comparing clinical responses and the biomarkers of BDNF and cytokines between subthreshold bipolar disorder and bipolar II disorder.

    Science.gov (United States)

    Wang, Tzu-Yun; Lee, Sheng-Yu; Chen, Shiou-Lan; Chang, Yun-Hsuan; Wang, Liang-Jen; Chen, Po See; Chen, Shih-Heng; Chu, Chun-Hsien; Huang, San-Yuan; Tzeng, Nian-Sheng; Li, Chia-Ling; Chung, Yi-Lun; Hsieh, Tsai-Hsin; Lee, I Hui; Chen, Kao Chin; Yang, Yen Kuang; Hong, Jau-Shyong; Lu, Ru-Band

    2016-01-01

    Patients with subthreshold hypomania (SBP; subthreshold bipolar disorder) were indistinguishable from those with bipolar disorder (BP)-II on clinical bipolar validators, but their analyses lacked biological and pharmacological treatment data. Because inflammation and neuroprogression underlies BP, we hypothesized that cytokines and brain-derived neurotrophic factor (BDNF) are biomarkers for BP. We enrolled 41 drug-naïve patients with SBP and 48 with BP-II undergoing 12 weeks of pharmacological treatment (valproic acid, fluoxetine, risperidone, lorazepam). The Hamilton Depression Rating Scale (HDRS) and Young Mania Rating Scale (YMRS) were used to evaluate clinical responses at baseline and at weeks 0, 1, 2, 4, 8, and 12. Inflammatory cytokines (tumour necrosis factor [TNF]-α, transforming growth factor [TGF]-β1, interleukin [IL]-6, IL-8 and IL-1β) and BDNF levels were also measured. Mixed models repeated measurement was used to examine the therapeutic effect and changes in BDNF and cytokine levels between the groups. HDRS and YMRS scores significantly (P < 0.001) declined in both groups, the SBP group had significantly lower levels of BDNF (P = 0.005) and TGF-β1 (P = 0.02). Patients with SBP and BP-II respond similarly to treatment, but SBP patients may have different neuroinflammation marker expression. PMID:27270858

  11. Biomarkers for systemic lupus erythematosus.

    Science.gov (United States)

    Ahearn, Joseph M; Liu, Chau-Ching; Kao, Amy H; Manzi, Susan

    2012-04-01

    The urgent need for lupus biomarkers was demonstrated in September 2011 during a Workshop sponsored by the Food and Drug Administration: Potential Biomarkers Predictive of Disease Flare. After 2 days of discussion and more than 2 dozen presentations from thought leaders in both industry and academia, it became apparent that highly sought biomarkers to predict lupus flare have not yet been identified. Even short of the elusive biomarker of flare, few biomarkers for systemic lupus erythematosus (SLE) diagnosis, monitoring, and stratification have been validated and employed for making clinical decisions. This lack of reliable, specific biomarkers for SLE hampers proper clinical management of patients with SLE and impedes development of new lupus therapeutics. As such, the intensity of investigation to identify lupus biomarkers is climbing a steep trajectory, lending cautious optimism that a validated panel of biomarkers for lupus diagnosis, monitoring, stratification, and prediction of flare may soon be in hand.

  12. Reverse Phase Protein Arrays—Quantitative Assessment of Multiple Biomarkers in Biopsies for Clinical Use

    Directory of Open Access Journals (Sweden)

    Stefanie Boellner

    2015-03-01

    Full Text Available Reverse Phase Protein Arrays (RPPA represent a very promising sensitive and precise high-throughput technology for the quantitative measurement of hundreds of signaling proteins in biological and clinical samples. This array format allows quantification of one protein or phosphoprotein in multiple samples under the same experimental conditions at the same time. Moreover, it is suited for signal transduction profiling of small numbers of cultured cells or cells isolated from human biopsies, including formalin fixed and paraffin embedded (FFPE tissues. Owing to the much easier sample preparation, as compared to mass spectrometry based technologies, and the extraordinary sensitivity for the detection of low-abundance signaling proteins over a large linear range, RPPA have the potential for characterization of deregulated interconnecting protein pathways and networks in limited amounts of sample material in clinical routine settings. Current aspects of RPPA technology, including dilution curves, spotting, controls, signal detection, antibody validation, and calculation of protein levels are addressed.

  13. Biomarkers of sarcopenia in clinical trials—recommendations from the International Working Group on Sarcopenia

    OpenAIRE

    Cesari, Matteo; Pahor, Marco; Goodpaster, Bret; Hellerstein, Marc; Van Kan, Gabor A.; Anker, Stefan D.; Vrijbloed, J. Willem; Isaac, Maria; Rolland, Yves; M’Rini, Christine; Aubertin-Leheudre, Mylène; Cedarbaum, Jesse M.; Zamboni, Mauro; Sieber, Cornell C.; Laurent, Didier

    2012-01-01

    Sarcopenia, the age-related skeletal muscle decline, is associated with relevant clinical and socioeconomic negative outcomes in older persons. The study of this phenomenon and the development of preventive/therapeutic strategies represent public health priorities. The present document reports the results of a recent meeting of the International Working Group on Sarcopenia (a task force consisting of geriatricians and scientists from academia and industry) held on June 7–8, 2011 in Toulouse (...

  14. Personalization of prostate cancer prevention and therapy: are clinically qualified biomarkers in the horizon?

    OpenAIRE

    Yap Timothy A; Swanton Charles; de Bono Johann S

    2012-01-01

    Abstract Prostate cancer remains the most common malignancy among men and the second leading cause of male cancer-related mortality. Death from this disease is invariably due to resistance to androgen deprivation therapy. Our improved understanding of the biology of prostate cancer has heralded a new era in molecular anticancer drug development, with multiple novel anticancer drugs for castration resistant prostate cancer now entering the clinic. These include the taxane cabazitaxel, the vacc...

  15. Clinical trial designs for evaluating the medical utility of prognostic and predictive biomarkers in oncology

    OpenAIRE

    Simon, Richard

    2010-01-01

    Physicians need improved tools for selecting treatments for individual patients. Many diagnostic entities hat were traditionally viewed as individual diseases are heterogeneous in their molecular pathogenesis and treatment responsiveness. This results in the treatment of many patients with ineffective drugs, incursion of substantial medical costs for the treatment of patients who do not benefit and the conducting of large clinical trials to identify small, average treatment benefits for heter...

  16. Clinical risk stratification optimizes value of biomarkers to predict new-onset heart failure in a community-based cohort

    NARCIS (Netherlands)

    Brouwers, Frank P; van Gilst, Wiek H; Damman, Kevin; van den Berg, Maarten P; Gansevoort, Ron T; Bakker, Stephan J L; Hillege, Hans L; van Veldhuisen, Dirk J; van der Harst, Pim; de Boer, Rudolf A

    2014-01-01

    BACKGROUND: We aim to identify and quantify the value of biomarkers for incident new-onset heart failure (HF) in a community-based cohort and subgroups based on cardiovascular risk and evaluate the prognostic value of 13 biomarkers for HF with reduced and preserved ejection fraction. METHODS AND RES

  17. Clinical Risk Stratification Optimizes Value of Biomarkers to Predict New-Onset Heart Failure in a Community-Based Cohort

    NARCIS (Netherlands)

    Brouwers, Frank P.; van Gilst, Wiek H.; Damman, Kevin; van den Berg, Maarten P.; Gansevoort, Ron T.; Bakker, Stephan J. L.; Hillege, Hans L.; van Veldhuisen, Dirk J.; van der Harst, Pim; de Boer, Rudolf A.

    2014-01-01

    Background-We aim to identify and quantify the value of biomarkers for incident new-onset heart failure (HF) in a community-based cohort and subgroups based on cardiovascular risk and evaluate the prognostic value of 13 biomarkers for HF with reduced and preserved ejection fraction. Methods and Resu

  18. Anti-MOG antibody: The history, clinical phenotype, and pathogenicity of a serum biomarker for demyelination.

    Science.gov (United States)

    Ramanathan, Sudarshini; Dale, Russell C; Brilot, Fabienne

    2016-04-01

    Myelin oligodendrocyte glycoprotein (MOG) is a protein exclusively expressed on the surface of oligodendrocytes and myelin in the central nervous system. MOG has been identified as a putative candidate autoantigen and autoantibody target in demyelination for almost three decades, with extensive literature validating its role in murine models of experimental autoimmune encephalomyelitis. Seminal studies using murine anti-MOG antibodies have highlighted the fact that antibodies that target epitopes of native MOG in its conformational state, rather than linearized or denature`d MOG, are biologically relevant. However, the relevance of anti-MOG antibodies in humans has been difficult to decipher over the years due to varying methods of detection as well as the fact that it was assumed that these antibodies would be clinically associated with multiple sclerosis. There is now international consensus that anti-MOG antibodies are important in both pediatric and adult demyelination, and the clinical association of MOG antibody-associated demyelination has been refined to include acute disseminated encephalomyelitis, relapsing and bilateral optic neuritis, and transverse myelitis. Anti-MOG antibodies are now thought not to be associated with multiple sclerosis in adults. Patients with MOG antibody-associated demyelination appear to have a unique clinical, radiological, and therapeutic profile, which represents a major advance in their diagnosis and management. It is imperative to understand whether anti-MOG antibodies are indeed pathogenic, and if so, their mechanisms of action. As it has become apparent that there are differences in MOG epitope binding between species, translation of animal studies to human demyelination should be analyzed in this context. Further work is required to identify the specific epitope binding sites in human disease and pathogenic mechanisms of anti-MOG antibodies, as well optimal therapeutic strategies to improve prognosis and minimize

  19. Amyloid-β peptides and tau protein as biomarkers in cerebrospinal and interstitial fluid following traumatic brain injury: A review of experimental and clinical studies

    Directory of Open Access Journals (Sweden)

    Parmenion P. Tsitsopoulos

    2013-06-01

    Full Text Available Traumatic brain injury (TBI survivors frequently suffer from life-long deficits in cognitive functions and a reduced quality of life. Axonal injury, observed in most severe TBI patients, results in accumulation of amyloid precursor protein (APP. Post-injury enzymatic cleavage of APP can generate amyloid-β (Aβ peptides, a hallmark finding in Alzheimer’s disease (AD. At autopsy, brains of AD and a subset of TBI victims display some similarities including accumulation of Aβ peptides and neurofibrillary tangles of hyperphosphorylated tau proteins. Most epidemiological evidence suggests a link between TBI and AD, implying that TBI has neurodegenerative sequelae. Aβ peptides and tau may be used as biomarkers in interstitial fluid (ISF using cerebral microdialysis and/or cerebrospinal fluid (CSF following clinical TBI. In the present review, the available clinical and experimental literature on Aβ peptides and tau as potential biomarkers following TBI is comprehensively analyzed. Elevated CSF and ISF tau protein levels have been observed following severe TBI and suggested to correlate with clinical outcome. Although Aβ peptides are produced by normal neuronal metabolism, high levels of long and/or fibrillary Aβ peptides may be neurotoxic. Increased CSF and/or ISF Aβ levels post-injury may be related to neuronal activity and/or the presence of axonal injury. The heterogeneity of animal models, clinical cohorts, analytical techniques and the complexity of TBI in available studies make the clinical value of tau and Aβ as biomarkers uncertain at present. Additionally, the link between early post-injury changes in tau and Aβ peptides and the future risk of developing AD remains unclear. Future studies using e.g. rapid biomarker sampling combined with enhanced analytical techniques and/or novel pharmacological tools could provide additional information on the importance of Aβ peptides and tau protein in both the acute pathophysiology and long

  20. Di-22:6-bis(monoacylglycerol)phosphate: A clinical biomarker of drug-induced phospholipidosis for drug development and safety assessment

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Nanjun; Tengstrand, Elizabeth A.; Chourb, Lisa; Hsieh, Frank Y., E-mail: frank.hsieh@nextcea.com

    2014-09-15

    The inability to routinely monitor drug-induced phospholipidosis (DIPL) presents a challenge in pharmaceutical drug development and in the clinic. Several nonclinical studies have shown di-docosahexaenoyl (22:6) bis(monoacylglycerol) phosphate (di-22:6-BMP) to be a reliable biomarker of tissue DIPL that can be monitored in the plasma/serum and urine. The aim of this study was to show the relevance of di-22:6-BMP as a DIPL biomarker for drug development and safety assessment in humans. DIPL shares many similarities with the inherited lysosomal storage disorder Niemann–Pick type C (NPC) disease. DIPL and NPC result in similar changes in lysosomal function and cholesterol status that lead to the accumulation of multi-lamellar bodies (myeloid bodies) in cells and tissues. To validate di-22:6-BMP as a biomarker of DIPL for clinical studies, NPC patients and healthy donors were classified by receiver operator curve analysis based on urinary di-22:6-BMP concentrations. By showing 96.7-specificity and 100-sensitivity to identify NPC disease, di-22:6-BMP can be used to assess DIPL in human studies. The mean concentration of di-22:6-BMP in the urine of NPC patients was 51.4-fold (p ≤ 0.05) above the healthy baseline range. Additionally, baseline levels of di-22:6-BMP were assessed in healthy non-medicated laboratory animals (rats, mice, dogs, and monkeys) and human subjects to define normal reference ranges for nonclinical/clinical studies. The baseline ranges of di-22:6-BMP in the plasma, serum, and urine of humans and laboratory animals were species dependent. The results of this study support the role of di-22:6-BMP as a biomarker of DIPL for pharmaceutical drug development and health care settings. - Highlights: • A reliable biomarker of drug-induced phospholipidosis (DIPL) is needed for humans. • Di-22:6-BMP is specific/sensitive for DIPL in animals as published in literatures. • The di-22:6-BMP biomarker can be validated for humans via NPC patients. • DIPL

  1. Di-22:6-bis(monoacylglycerol)phosphate: A clinical biomarker of drug-induced phospholipidosis for drug development and safety assessment

    International Nuclear Information System (INIS)

    The inability to routinely monitor drug-induced phospholipidosis (DIPL) presents a challenge in pharmaceutical drug development and in the clinic. Several nonclinical studies have shown di-docosahexaenoyl (22:6) bis(monoacylglycerol) phosphate (di-22:6-BMP) to be a reliable biomarker of tissue DIPL that can be monitored in the plasma/serum and urine. The aim of this study was to show the relevance of di-22:6-BMP as a DIPL biomarker for drug development and safety assessment in humans. DIPL shares many similarities with the inherited lysosomal storage disorder Niemann–Pick type C (NPC) disease. DIPL and NPC result in similar changes in lysosomal function and cholesterol status that lead to the accumulation of multi-lamellar bodies (myeloid bodies) in cells and tissues. To validate di-22:6-BMP as a biomarker of DIPL for clinical studies, NPC patients and healthy donors were classified by receiver operator curve analysis based on urinary di-22:6-BMP concentrations. By showing 96.7-specificity and 100-sensitivity to identify NPC disease, di-22:6-BMP can be used to assess DIPL in human studies. The mean concentration of di-22:6-BMP in the urine of NPC patients was 51.4-fold (p ≤ 0.05) above the healthy baseline range. Additionally, baseline levels of di-22:6-BMP were assessed in healthy non-medicated laboratory animals (rats, mice, dogs, and monkeys) and human subjects to define normal reference ranges for nonclinical/clinical studies. The baseline ranges of di-22:6-BMP in the plasma, serum, and urine of humans and laboratory animals were species dependent. The results of this study support the role of di-22:6-BMP as a biomarker of DIPL for pharmaceutical drug development and health care settings. - Highlights: • A reliable biomarker of drug-induced phospholipidosis (DIPL) is needed for humans. • Di-22:6-BMP is specific/sensitive for DIPL in animals as published in literatures. • The di-22:6-BMP biomarker can be validated for humans via NPC patients. • DIPL

  2. Testing of the preliminary OMERACT validation criteria for a biomarker to be regarded as reflecting structural damage endpoints in rheumatoid arthritis clinical trials: the example of C-reactive protein

    DEFF Research Database (Denmark)

    Keeling, Stephanie O; Landewe, Robert; van der Heijde, Desiree;

    2007-01-01

    OBJECTIVE: A list of 14 criteria for guiding the validation of a soluble biomarker as reflecting structural damage endpoints in rheumatoid arthritis (RA) clinical trials was drafted by an international working group after a Delphi consensus exercise. C-reactive protein (CRP), a soluble biomarker...

  3. Predicting the severity of acute bronchiolitis in infants: should we use a clinical score or a biomarker?

    Science.gov (United States)

    Amat, Flore; Henquell, Cécile; Verdan, Matthieu; Roszyk, Laurence; Mulliez, Aurélien; Labbé, André

    2014-11-01

    Krebs von den Lungen 6 antigen (KL-6) has been shown to be a useful biomarker of the severity of Respiratory syncytial virus bronchiolitis. To assess the correlation between the clinical severity of acute bronchiolitis, serum KL-6, and the causative viruses, 222 infants with acute bronchiolitis presenting at the Pediatric Emergency Department of Estaing University Hospital, Clermont-Ferrand, France, were prospectively enrolled from October 2011 to May 2012. Disease severity was assessed with a score calculated from oxygen saturation, respiratory rate, and respiratory effort. A nasopharyngeal aspirate was collected to screen for a panel of 20 respiratory viruses. Serum was assessed and compared with a control group of 38 bronchiolitis-free infants. No significant difference in KL-6 levels was found between the children with bronchiolitis (mean 231 IU/mL ± 106) and those without (230 IU/mL ± 102), or between children who were hospitalized or not, or between the types of virus. No correlation was found between serum KL-6 levels and the disease severity score. The absence of Human Rhinovirus was a predictive factor for hospitalization (OR 3.4 [1.4-7.9]; P = 0.006). Older age and a higher oxygen saturation were protective factors (OR 0.65[0.55-0.77]; P < 0.0001 and OR 0.67 [0.54-0.85] P < 0.001, respectively). These results suggest that in infants presenting with bronchiolitis for the first time, clinical outcome depends more on the adaptive capacities of the host than on epithelial dysfunction intensity. Many of the features of bronchiolitis are affected by underlying disease and by treatment. PMID:24374757

  4. Predicting the severity of acute bronchiolitis in infants: should we use a clinical score or a biomarker?

    Science.gov (United States)

    Amat, Flore; Henquell, Cécile; Verdan, Matthieu; Roszyk, Laurence; Mulliez, Aurélien; Labbé, André

    2014-11-01

    Krebs von den Lungen 6 antigen (KL-6) has been shown to be a useful biomarker of the severity of Respiratory syncytial virus bronchiolitis. To assess the correlation between the clinical severity of acute bronchiolitis, serum KL-6, and the causative viruses, 222 infants with acute bronchiolitis presenting at the Pediatric Emergency Department of Estaing University Hospital, Clermont-Ferrand, France, were prospectively enrolled from October 2011 to May 2012. Disease severity was assessed with a score calculated from oxygen saturation, respiratory rate, and respiratory effort. A nasopharyngeal aspirate was collected to screen for a panel of 20 respiratory viruses. Serum was assessed and compared with a control group of 38 bronchiolitis-free infants. No significant difference in KL-6 levels was found between the children with bronchiolitis (mean 231 IU/mL ± 106) and those without (230 IU/mL ± 102), or between children who were hospitalized or not, or between the types of virus. No correlation was found between serum KL-6 levels and the disease severity score. The absence of Human Rhinovirus was a predictive factor for hospitalization (OR 3.4 [1.4-7.9]; P = 0.006). Older age and a higher oxygen saturation were protective factors (OR 0.65[0.55-0.77]; P bronchiolitis for the first time, clinical outcome depends more on the adaptive capacities of the host than on epithelial dysfunction intensity. Many of the features of bronchiolitis are affected by underlying disease and by treatment.

  5. A large multi-centre European study validates high-sensitivity C-reactive protein (hsCRP) as a clinical biomarker for the diagnosis of diabetes subtypes

    DEFF Research Database (Denmark)

    Thanabalasingham, G.; Shah, N.; Vaxillaire, M.;

    2011-01-01

    An accurate molecular diagnosis of diabetes subtype confers clinical benefits; however, many individuals with monogenic diabetes remain undiagnosed. Biomarkers could help to prioritise patients for genetic investigation. We recently demonstrated that high-sensitivity C-reactive protein (hs......CRP) levels are lower in UK patients with hepatocyte nuclear factor 1 alpha (HNF1A)-MODY than in other diabetes subtypes. In this large multi-centre study we aimed to assess the clinical validity of hsCRP as a diagnostic biomarker, examine the genotype-phenotype relationship and compare different hsCRP assays....... High-sensitivity CRP levels were analysed in individuals with HNF1A-MODY (n = 457), glucokinase (GCK)-MODY (n = 404), hepatocyte nuclear factor 4 alpha (HNF4A)-MODY (n = 54) and type 2 diabetes (n = 582) from seven European centres. Three common assays for hsCRP analysis were evaluated. We excluded 121...

  6. A Novel Biomarker Panel Examining Response to Gemcitabine with or without Erlotinib for Pancreatic Cancer Therapy in NCIC Clinical Trials Group PA.3.

    Directory of Open Access Journals (Sweden)

    David B Shultz

    Full Text Available NCIC Clinical Trials Group PA.3 was a randomized control trial that demonstrated improved overall survival (OS in patients receiving erlotinib in addition to gemcitabine for locally advanced or metastatic pancreatic cancer. Prior to therapy, patients had plasma samples drawn for future study. We sought to identify biomarkers within these samples.Using the proximity ligation assay (PLA, a probe panel was built from commercially available antibodies for 35 key proteins selected from a global genetic analysis of pancreatic cancers, and used to quantify protein levels in 20 uL of patient plasma. To determine if any of these proteins levels independently associated with OS, univariate and mulitbaraible Cox models were used. In addition, we examined the associations between biomarker expression and disease stage at diagnosis using Fisher's exact test. The correlation between Erlotinib sensitivity and each biomarkers was assessed using a test of interaction between treatment and biomarker.Of the 569 eligible patients, 480 had samples available for study. Samples were randomly allocated into training (251 and validation sets (229. Among all patients, elevated levels of interleukin-8 (IL-8, carcinoembryonic antigen (CEA, hypoxia-inducible factor 1-alpha (HIF-1 alpha, and interleukin-6 were independently associated with lower OS, while IL-8, CEA, platelet-derived growth factor receptor alpha and mucin-1 were associated with metastatic disease. Patients with elevated levels of receptor tyrosine-protein kinase erbB-2 (HER2 expression had improved OS when treated with erlotinib compared to placebo. In conclusion, PLA is a powerful tool for identifying biomarkers from archived, small volume serum samples. These data may be useful to stratify patient outcomes regardless of therapeutic intervention.ClinicalTrials.gov NCT00040183.

  7. Clinical Use of the Urine Biomarker [TIMP-2] × [IGFBP7] for Acute Kidney Injury Risk Assessment.

    Science.gov (United States)

    Vijayan, Anitha; Faubel, Sarah; Askenazi, David J; Cerda, Jorge; Fissell, William H; Heung, Michael; Humphreys, Benjamin D; Koyner, Jay L; Liu, Kathleen D; Mour, Girish; Nolin, Thomas D; Bihorac, Azra

    2016-07-01

    Acute kidney injury (AKI) is a serious complication, commonly occurring in the critically ill population, with devastating short- and long-term consequences. Despite standardization of the definition and staging of AKI, early recognition remains challenging given that serum creatinine level is a marker, albeit imperfect, of kidney function and not kidney injury. Furthermore, the delay in increase in serum creatinine level after loss of glomerular filtration also prevents timely detection of decreased kidney function in patients with AKI. During the past decade, numerous clinical investigations have evaluated the utility of several biomarkers in the early diagnosis and risk stratification of AKI. In 2014, the US Food and Drug Administration approved the marketing of a test based on the combination of urine concentrations of tissue inhibitor of metalloproteinase 2 and insulin-like growth factor binding protein 7 ([TIMP-2] × [IGFBP7]) to determine whether certain critically ill patients are at risk for developing moderate to severe AKI. The optimal role of this biomarker in the diagnosis, management, and prognosis of AKI in different clinical settings requires further clarification. In this perspective, we summarize the biological actions of these 2 cell-cycle arrest biomarkers and present important considerations regarding the clinical application, interpretation, and limitations of this novel test for the early detection of AKI.

  8. Clinical Use of the Urine Biomarker [TIMP-2] × [IGFBP7] for Acute Kidney Injury Risk Assessment.

    Science.gov (United States)

    Vijayan, Anitha; Faubel, Sarah; Askenazi, David J; Cerda, Jorge; Fissell, William H; Heung, Michael; Humphreys, Benjamin D; Koyner, Jay L; Liu, Kathleen D; Mour, Girish; Nolin, Thomas D; Bihorac, Azra

    2016-07-01

    Acute kidney injury (AKI) is a serious complication, commonly occurring in the critically ill population, with devastating short- and long-term consequences. Despite standardization of the definition and staging of AKI, early recognition remains challenging given that serum creatinine level is a marker, albeit imperfect, of kidney function and not kidney injury. Furthermore, the delay in increase in serum creatinine level after loss of glomerular filtration also prevents timely detection of decreased kidney function in patients with AKI. During the past decade, numerous clinical investigations have evaluated the utility of several biomarkers in the early diagnosis and risk stratification of AKI. In 2014, the US Food and Drug Administration approved the marketing of a test based on the combination of urine concentrations of tissue inhibitor of metalloproteinase 2 and insulin-like growth factor binding protein 7 ([TIMP-2] × [IGFBP7]) to determine whether certain critically ill patients are at risk for developing moderate to severe AKI. The optimal role of this biomarker in the diagnosis, management, and prognosis of AKI in different clinical settings requires further clarification. In this perspective, we summarize the biological actions of these 2 cell-cycle arrest biomarkers and present important considerations regarding the clinical application, interpretation, and limitations of this novel test for the early detection of AKI. PMID:26948834

  9. Biomarkers of Host Response Predict Primary End-Point Radiological Pneumonia in Tanzanian Children with Clinical Pneumonia: A Prospective Cohort Study.

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    Laura K Erdman

    Full Text Available Diagnosing pediatric pneumonia is challenging in low-resource settings. The World Health Organization (WHO has defined primary end-point radiological pneumonia for use in epidemiological and vaccine studies. However, radiography requires expertise and is often inaccessible. We hypothesized that plasma biomarkers of inflammation and endothelial activation may be useful surrogates for end-point pneumonia, and may provide insight into its biological significance.We studied children with WHO-defined clinical pneumonia (n = 155 within a prospective cohort of 1,005 consecutive febrile children presenting to Tanzanian outpatient clinics. Based on x-ray findings, participants were categorized as primary end-point pneumonia (n = 30, other infiltrates (n = 31, or normal chest x-ray (n = 94. Plasma levels of 7 host response biomarkers at presentation were measured by ELISA. Associations between biomarker levels and radiological findings were assessed by Kruskal-Wallis test and multivariable logistic regression. Biomarker ability to predict radiological findings was evaluated using receiver operating characteristic curve analysis and Classification and Regression Tree analysis.Compared to children with normal x-ray, children with end-point pneumonia had significantly higher C-reactive protein, procalcitonin and Chitinase 3-like-1, while those with other infiltrates had elevated procalcitonin and von Willebrand Factor and decreased soluble Tie-2 and endoglin. Clinical variables were not predictive of radiological findings. Classification and Regression Tree analysis generated multi-marker models with improved performance over single markers for discriminating between groups. A model based on C-reactive protein and Chitinase 3-like-1 discriminated between end-point pneumonia and non-end-point pneumonia with 93.3% sensitivity (95% confidence interval 76.5-98.8, 80.8% specificity (72.6-87.1, positive likelihood ratio 4.9 (3.4-7.1, negative likelihood ratio 0

  10. Biomarkers in Autism

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    Robert eHendren

    2014-08-01

    Full Text Available Autism spectrum disorders (ASD are complex, heterogeneous disorders caused by an interaction between genetic vulnerability and environmental factors. In an effort to better target the underlying roots of ASD for diagnosis and treatment, efforts to identify reliable biomarkers in genetics, neuroimaging, gene expression and measures of the body’s metabolism are growing. For this article, we review the published studies of potential biomarkers in autism and conclude that while there is increasing promise of finding biomarkers that can help us target treatment, there are none with enough evidence to support routine clinical use unless medical illness is suspected. Promising biomarkers include those for mitochondrial function, oxidative stress, and immune function. Genetic clusters are also suggesting the potential for useful biomarkers.

  11. Cefditoren versus levofloxacin in patients with exacerbations of chronic bronchitis: serum inflammatory biomarkers, clinical efficacy, and microbiological eradication

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    Blasi F

    2013-02-01

    Full Text Available Francesco Blasi, Paolo Tarsia, Marco Mantero, Letizia C Morlacchi, Federico PifferDepartment of Pathophysiology and Transplantation, University of Milan, IRCCS Fondazione Cà Granda Ospedale Maggiore Policlinico, Milan, ItalyBackground: The aim of this open-label, randomized, parallel-group pilot study was to evaluate the efficacy of cefditoren pivoxil and levofloxacin in terms of speed of reduction in inflammatory parameters, clinical recovery, and microbiological eradication.Methods: Forty eligible patients with acute exacerbation of chronic bronchitis (AECB were randomized to receive cefditoren 200 mg twice a day for 5 days (n = 20 or levofloxacin 500 mg once daily for 7 days (n = 20.Results: The inflammatory parameters which were significantly reduced at test-of-cure with respect to visit 1 were Krebs von den Lundgen-6 (KL-6 and interleukin-6. KL-6 decreased both in the overall study population (from 19 ± 11 UI/mL to 6 ± 8 UI/mL, P = 0.000 and in the cefditoren (from 19 ± 13 UI/mL to 8 ± 10 UI/mL, P = 0.006 and levofloxacin (from 19 ± 10 UI/mL to 5 ± 5 UI/mL, P = 0.000 arms. Similarly, interleukin-6 decreased both in the overall study population (from 13.35 ± 16.41 pg/mL to 3 ± 4.7 pg/mL, P = 0.000 and in the cefditoren (from 15.90 ± 19.54 pg/mL to 4.13 ± 6.42 pg/mL, P = 0.015 and levofloxacin (from 10.80 ± 12.55 pg/mL to 1.87 ± 1.16 pg/mL, P = 0.003 arms. At the end of treatment (test-of-cure, 6–9 days after drug initiation, the clinical success rate in the overall study population was 78%; the clinical cure rate was 80% in the cefditoren arm and 75% in the levofloxacin arm. Globally, bacteriological eradication at test-of-cure was obtained in 85% of the overall study population. Both treatments were well tolerated.Conclusion: Cefditoren represents a valid option in the treatment of mild to moderately severe cases of AECB in the outpatient care setting. Moreover, the use of this cephalosporin is associated with a significant

  12. Heritability and clinical determinants of serum indoxyl sulfate and p-cresyl sulfate, candidate biomarkers of the human microbiome enterotype.

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    Liesbeth Viaene

    Full Text Available BACKGROUND: Indoxyl sulfate and p-cresyl sulfate are unique microbial co-metabolites. Both co-metabolites have been involved in the pathogenesis of accelerated cardiovascular disease and renal disease progression. Available evidence suggests that indoxyl sulfate and p-cresyl sulfate may be considered candidate biomarkers of the human enterotype and may help to explain the link between diet and cardiovascular disease burden. OBJECTIVE AND DESIGN: Information on clinical determinants and heritability of indoxyl sulfate and p-cresyl sulfate serum is non-existing. To clarify this issue, the authors determined serum levels of indoxyl sulfate and p-cresyl sulfate in 773 individuals, recruited in the frame of the Flemish Study on Environment, Genes and Health Outcomes (FLEMENGHO study. RESULTS: Serum levels of indoxyl sulfate and p-cresyl sulfate amounted to 3.1 (2.4-4.3 and 13.0 (7.4-21.5 μM, respectively. Regression analysis identified renal function, age and sex as independent determinants of both co-metabolites. Both serum indoxyl sulfate (h2 = 0.17 and p-cresyl sulfate (h2 = 0.18 concentrations showed moderate but significant heritability after adjustment for covariables, with significant genetic and environmental correlations for both co-metabolites. LIMITATIONS: Family studies cannot provide conclusive evidence for a genetic contribution, as confounding by shared environmental effects can never be excluded. CONCLUSIONS: The heritability of indoxyl sulfate and p-cresyl sulfate is moderate. Besides genetic host factors and environmental factors, also renal function, sex and age influence the serum levels of these co-metabolites.

  13. Differences in abundances of cell-signalling proteins in blood reveal novel biomarkers for early detection of clinical Alzheimer's disease.

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    Mateus Rocha de Paula

    Full Text Available BACKGROUND: In November 2007 a study published in Nature Medicine proposed a simple test based on the abundance of 18 proteins in blood to predict the onset of clinical symptoms of Alzheimer's Disease (AD two to six years before these symptoms manifest. Later, another study, published in PLoS ONE, showed that only five proteins (IL-1, IL-3, EGF, TNF- and G-CSF have overall better prediction accuracy. These classifiers are based on the abundance of 120 proteins. Such values were standardised by a Z-score transformation, which means that their values are relative to the average of all others. METHODOLOGY: The original datasets from the Nature Medicine paper are further studied using methods from combinatorial optimisation and Information Theory. We expand the original dataset by also including all pair-wise differences of z-score values of the original dataset ("metafeatures". Using an exact algorithm to solve the resulting Feature Set problem, used to tackle the feature selection problem, we found signatures that contain either only features, metafeatures or both, and evaluated their predictive performance on the independent test set. CONCLUSIONS: It was possible to show that a specific pattern of cell signalling imbalance in blood plasma has valuable information to distinguish between NDC and AD samples. The obtained signatures were able to predict AD in patients that already had a Mild Cognitive Impairment (MCI with up to 84% of sensitivity, while maintaining also a strong prediction accuracy of 90% on a independent dataset with Non Demented Controls (NDC and AD samples. The novel biomarkers uncovered with this method now confirms ANG-2, IL-11, PDGF-BB, CCL15/MIP-1; and supports the joint measurement of other signalling proteins not previously discussed: GM-CSF, NT-3, IGFBP-2 and VEGF-B.

  14. DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research.

    Science.gov (United States)

    Fedorov, Andriy; Clunie, David; Ulrich, Ethan; Bauer, Christian; Wahle, Andreas; Brown, Bartley; Onken, Michael; Riesmeier, Jörg; Pieper, Steve; Kikinis, Ron; Buatti, John; Beichel, Reinhard R

    2016-01-01

    Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their deployment in the context of clinical research necessitates interoperability with the clinical systems. Comparison with the established outcomes and evaluation tasks motivate integration of the clinical and imaging data, and the use of standardized approaches to support annotation and sharing of the analysis results and semantics. We developed the methodology and tools to support these tasks in Positron Emission Tomography and Computed Tomography (PET/CT) quantitative imaging (QI) biomarker development applied to head and neck cancer (HNC) treatment response assessment, using the Digital Imaging and Communications in Medicine (DICOM(®)) international standard and free open-source software. Methods. Quantitative analysis of PET/CT imaging data collected on patients undergoing treatment for HNC was conducted. Processing steps included Standardized Uptake Value (SUV) normalization of the images, segmentation of the tumor using manual and semi-automatic approaches, automatic segmentation of the reference regions, and extraction of the volumetric segmentation-based measurements. Suitable components of the DICOM standard were identified to model the various types of data produced by the analysis. A developer toolkit of conversion routines and an Application Programming Interface (API) were contributed and applied to create a standards-based representation of the data. Results. DICOM Real World Value Mapping, Segmentation and Structured Reporting objects were utilized for standards-compliant representation of the PET/CT QI analysis results and relevant clinical data. A number of correction proposals to the standard were developed. The open-source DICOM toolkit (DCMTK) was improved to simplify the task of DICOM encoding by introducing new API abstractions

  15. DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research.

    Science.gov (United States)

    Fedorov, Andriy; Clunie, David; Ulrich, Ethan; Bauer, Christian; Wahle, Andreas; Brown, Bartley; Onken, Michael; Riesmeier, Jörg; Pieper, Steve; Kikinis, Ron; Buatti, John; Beichel, Reinhard R

    2016-01-01

    Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their deployment in the context of clinical research necessitates interoperability with the clinical systems. Comparison with the established outcomes and evaluation tasks motivate integration of the clinical and imaging data, and the use of standardized approaches to support annotation and sharing of the analysis results and semantics. We developed the methodology and tools to support these tasks in Positron Emission Tomography and Computed Tomography (PET/CT) quantitative imaging (QI) biomarker development applied to head and neck cancer (HNC) treatment response assessment, using the Digital Imaging and Communications in Medicine (DICOM(®)) international standard and free open-source software. Methods. Quantitative analysis of PET/CT imaging data collected on patients undergoing treatment for HNC was conducted. Processing steps included Standardized Uptake Value (SUV) normalization of the images, segmentation of the tumor using manual and semi-automatic approaches, automatic segmentation of the reference regions, and extraction of the volumetric segmentation-based measurements. Suitable components of the DICOM standard were identified to model the various types of data produced by the analysis. A developer toolkit of conversion routines and an Application Programming Interface (API) were contributed and applied to create a standards-based representation of the data. Results. DICOM Real World Value Mapping, Segmentation and Structured Reporting objects were utilized for standards-compliant representation of the PET/CT QI analysis results and relevant clinical data. A number of correction proposals to the standard were developed. The open-source DICOM toolkit (DCMTK) was improved to simplify the task of DICOM encoding by introducing new API abstractions

  16. Reversal of chemo-resistance in advanced nasopharyngeal carcinoma by injection of recombinant human p53 adenovirus%重组人p53腺病毒注射液逆转鼻咽癌化疗耐药的研究

    Institute of Scientific and Technical Information of China (English)

    张政; 翁敬锦; 兰桂萍; 韦海明; 覃扬达; 覃颖; 孙金杰; 司勇锋

    2012-01-01

    radiotherapy group (n = 20). 12 patients with chronic nasopharyngitis were enrolled as control group. Clinical data and the nasopharyngeal tumor tissues were collected. The two-step immunohistochemical was used to detect the expressions of P-gp, MRP, and LRP in the primary tumor tissue of NPC. Results The expression rates of P-gp, MRP, and LRP in patients with NPC were 57.7% (41/71), 57.7% (41/71), and 55.6% (38/71), respectively. P-gp, MRP, and LRP were not expressed in control group. In gene therapy group, the expression rates of P-gp, MRP, and LRP were 55.6%, 63.0%, and 59.3% before treatment, were 25.9%, 33.3%, and 25.9% after treatment (P < 0.05). Those in conventional group were 62.5%, 58.3%, and 50% before treatment, were 79.2%, 70.8%, and 58.3% after treatment (P < 0.05). And those in radiotherapy group were 55%, 50%, and 50% before treatment, were 55%, 40%, and 55% after treatment (P < 0.05). Conclusion P-gp, MRP, and LRP are associated with the intrinsic drug resistance in NPC. The rAd-p53 intratumoral injection can reverse chemo-resistance of NPC.

  17. Biomarkers in Airway Diseases

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    Janice M Leung

    2013-01-01

    Full Text Available The inherent limitations of spirometry and clinical history have prompted clinicians and scientists to search for surrogate markers of airway diseases. Although few biomarkers have been widely accepted into the clinical armamentarium, the authors explore three sources of biomarkers that have shown promise as indicators of disease severity and treatment response. In asthma, exhaled nitric oxide measurements can predict steroid responsiveness and sputum eosinophil counts have been used to titrate anti-inflammatory therapies. In chronic obstructive pulmonary disease, inflammatory plasma biomarkers, such as fibrinogen, club cell secretory protein-16 and surfactant protein D, can denote greater severity and predict the risk of exacerbations. While the multitude of disease phenotypes in respiratory medicine make biomarker development especially challenging, these three may soon play key roles in the diagnosis and management of airway diseases.

  18. Early pregnancy prediction of preeclampsia in nulliparous women, combining clinical risk and biomarkers: the Screening for Pregnancy Endpoints (SCOPE) international cohort study.

    Science.gov (United States)

    Kenny, Louise C; Black, Michael A; Poston, Lucilla; Taylor, Rennae; Myers, Jenny E; Baker, Philip N; McCowan, Lesley M; Simpson, Nigel A B; Dekker, Gus A; Roberts, Claire T; Rodems, Kelline; Noland, Brian; Raymundo, Michael; Walker, James J; North, Robyn A

    2014-09-01

    More than half of all cases of preeclampsia occur in healthy first-time pregnant women. Our aim was to develop a method to predict those at risk by combining clinical factors and measurements of biomarkers in women recruited to the Screening for Pregnancy Endpoints (SCOPE) study of low-risk nulliparous women. Forty-seven biomarkers identified on the basis of (1) association with preeclampsia, (2) a biological role in placentation, or (3) a role in cellular mechanisms involved in the pathogenesis of preeclampsia were measured in plasma sampled at 14 to 16 weeks' gestation from 5623 women. The cohort was randomly divided into training (n=3747) and validation (n=1876) cohorts. Preeclampsia developed in 278 (4.9%) women, of whom 28 (0.5%) developed early-onset preeclampsia. The final model for the prediction of preeclampsia included placental growth factor, mean arterial pressure, and body mass index at 14 to 16 weeks' gestation, the consumption of ≥3 pieces of fruit per day, and mean uterine artery resistance index. The area under the receiver operator curve (95% confidence interval) for this model in training and validation cohorts was 0.73 (0.70-0.77) and 0.68 (0.63-0.74), respectively. A predictive model of early-onset preeclampsia included angiogenin/placental growth factor as a ratio, mean arterial pressure, any pregnancy loss preeclampsia in populations of mixed parity and risk. In nulliparous women, combining multiple biomarkers and clinical data provided modest prediction of preeclampsia.

  19. Tyrosine kinase inhibitor sunitinib therapy is effective in the treatment of bone metastasis from cancer of unknown primary: Identification of clinical and immunohistochemical biomarkers predicting survival.

    Science.gov (United States)

    Ma, Yifei; Zhou, Wang; He, Shaohui; Xu, Wei; Xiao, Jianru

    2016-09-15

    Bone metastasis from cancer of unknown primary (BMCUP) brings poor survival prognosis and its management remains controversial. Sunitinib (SUTENT) proved effective in many sorts of solid tumors but has never been applied for patients with occult primary cancers, and there is no study to identify sensitive or resistant biomarkers for sunitinib therapy in CUP patients. An analysis was carried out to investigate the efficacy of sunitinib by multivariate survival analysis of 286 patients with BMCUP. We further carried out multivariate analysis to identify histological and clinical biomarkers that could predict sensitivity or resistance for sunitinib therapy. Of the 286 patients included from January 2011 to March 2016, sunitinib therapy proved effective to prolong survival in patients with BMCUP. Sensitive and resistant biomarkers were identified in histological specimen of patients receiving sunitinib therapy. Clinical factors were also identified that predict poor survival prognosis for sunitinib therapy. Sunitinib therapy proved effective to prolong survival in patients with BMCUP. Sensitive markers for sunitinib therapy include KDR positivity and early-developed treatment-induced hypertension. Resistance factors for sunitinib include VEGF positivity, CAIX positivity and squamous cell carcinoma pathology type. Prolonged symptom time and severe weight loss before therapy seemed to be associated with poor survival prognosis for sunitinib therapy. PMID:27164264

  20. Serum Biomarkers Associated with Clinical Outcomes Fail to Predict Brain Metastases in Patients with Stage IV Non-Small Cell Lung Cancers.

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    Bob T Li

    Full Text Available Lung cancers account for the majority of brain metastases which pose major therapeutic challenges. Biomarkers prognosticating for the development of brain metastases in patients with non-small cell lung cancers (NSCLC may improve personalized care. Six serum proteomic biomarkers were previously investigated at Memorial Sloan Kettering but their associations with brain metastases were unknown.Serum NSE, CYFRA 21-1, ProGRP, SCC-Ag, TIMP1, and HE4 by ELISA-based proteomic assays were prospectively collected from consecutive patients with stage IV NSCLC. Pre-treatment serum biomarker levels as well as age, histology, and epidermal growth factor receptor (EGFR mutation status were evaluated for association with the baseline presence of brain metastases using logistic regression and multivariable analysis. For patients without brain metastases at baseline, the cumulative incidence of subsequent brain metastases were compared according to baseline biomarkers and clinical factors using Gray's test.A total of 118 patients were enrolled, 31 (26%; 95% CI 0.19-0.35 had brain metastases at baseline and a further 26 (22%; 95% CI 0.15-0.30 developed brain metastases subsequently. Pre-treatment serum biomarker levels were available in 104 patients. There was no significant association between the six serum biomarkers and the baseline presence or subsequent development of brain metastases. Age younger than 65 years was the only clinical factor significantly associated with brain metastasis at baseline (OR 3.00; 95% CI 1.22-7.34, P = 0.02 by multivariable analysis. A trend toward increased cumulative incidence of subsequent brain metastases was observed in patients with EGFR mutation (p = 0.2, but this was not statistically significant possibly due to small sample size.Serum NSE, CYFRA 21-1, Pro-GRP, SCC-Ag, TIMP1, and HE4 are not significantly associated with brain metastases. Our methods taking into account follow-up time may be applied to independent datasets

  1. Expression profiling of blood samples from an SU5416 Phase III metastatic colorectal cancer clinical trial: a novel strategy for biomarker identification

    Directory of Open Access Journals (Sweden)

    Smolich Beverly D

    2003-02-01

    Full Text Available Abstract Background Microarray-based gene expression profiling is a powerful approach for the identification of molecular biomarkers of disease, particularly in human cancers. Utility of this approach to measure responses to therapy is less well established, in part due to challenges in obtaining serial biopsies. Identification of suitable surrogate tissues will help minimize limitations imposed by those challenges. This study describes an approach used to identify gene expression changes that might serve as surrogate biomarkers of drug activity. Methods Expression profiling using microarrays was applied to peripheral blood mononuclear cell (PBMC samples obtained from patients with advanced colorectal cancer participating in a Phase III clinical trial. The PBMC samples were harvested pre-treatment and at the end of the first 6-week cycle from patients receiving standard of care chemotherapy or standard of care plus SU5416, a vascular endothelial growth factor (VEGF receptor tyrosine kinase (RTK inhibitor. Results from matched pairs of PBMC samples from 23 patients were queried for expression changes that consistently correlated with SU5416 administration. Results Thirteen transcripts met this selection criterion; six were further tested by quantitative RT-PCR analysis of 62 additional samples from this trial and a second SU5416 Phase III trial of similar design. This method confirmed four of these transcripts (CD24, lactoferrin, lipocalin 2, and MMP-9 as potential biomarkers of drug treatment. Discriminant analysis showed that expression profiles of these 4 transcripts could be used to classify patients by treatment arm in a predictive fashion. Conclusions These results establish a foundation for the further exploration of peripheral blood cells as a surrogate system for biomarker analyses in clinical oncology studies.

  2. Plasma biomarker analysis in pediatric ARDS: generating future framework from a pilot randomized control trial of methylprednisoloneA framework for identifying plasma biomarkers related to clinical outcomes in pediatric ARDS

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    Dai eKimura

    2016-03-01

    Full Text Available Objective: Lung injury activates multiple pro-inflammatory pathways, including neutrophils, epithelial and endothelial injury, and coagulation factors leading to acute respiratory distress syndrome (ARDS. Low-dose methylprednisolone therapy (MPT improved oxygenation and ventilation in early pediatric ARDS without altering duration of mechanical ventilation or mortality. We evaluated the effects of MPT on biomarkers of endothelial (Ang-2, sICAM-1 or epithelial (sRAGE injury, neutrophil activation (MMP-8, and coagulation (PAI-1. Design: Double-blind, placebo-controlled randomized trialSetting: Tertiary-care Pediatric Intensive Care Unit Patients: Mechanically ventilated children (0-18 years with early ARDS.Interventions: Blood samples were collected on Days 0 (before MPT, 7, and 14 during low-dose MPT (n=17 vs. placebo (n=18 therapy. The MPT group received a 2mg/kg loading dose followed by 1mg/kg/day continuous infusions from days 1-7, tapered off over 7 days; placebo group received equivalent amounts of 0.9% saline. We analyzed plasma samples using a multiplex assay for 5 biomarkers of ARDS. Multiple regression models were constructed to predict associations between changes in biomarkers and the clinical outcomes reported earlier including: P/F ratio on days 8&9, plateau pressure on days 1&2, PaCO2 on days 2&3, racemic epinephrine following extubation, and supplemental oxygen at ICU discharge.Results: No differences occurred in biomarker concentrations between the groups on Day 0. On Day 7, reduction in MMP-8 levels (p=0.0016 occurred in the MPT group, whereas increases in sICAM-1 levels (p=0.0005 occurred in the placebo group (no increases in sICAM-1 in the MPT group. sRAGE levels decreased in both MPT and placebo groups (p<0.0001 from Day 0 to Day 7. On Day 7, sRAGE levels were positively correlated with MPT group PaO2/FiO2 ratios on Day 8 (r=0.93, p=0.024. O2 requirements at ICU transfer positively correlated with Day 7 MMP-8 (r=0.85, p=0

  3. [Biomarkers in Alzheimer's disease].

    Science.gov (United States)

    García-Ribas, G; López-Sendón Moreno, J L; García-Caldentey, J

    2014-04-01

    The new diagnostic criteria for Alzheimer's disease (AD) include brain imaging and cerebrospinal fluid (CSF) biomarkers, with the aim of increasing the certainty of whether a patient has an ongoing AD neuropathologic process or not. Three CSF biomarkers, Aß42, total tau, and phosphorylated tau, reflect the core pathological features of AD. It is already known that these pathological processes of AD starts decades before the first symptoms, so these biomarkers may provide means of early disease detection. At least three stages of AD could be identified: preclinical AD, mild cognitive impairment due to AD, and dementia due to AD. In this review, we aim to summarize the CSF biomarker data available for each of these stages. We also review the actual research on blood-based biomarkers. Recent studies on healthy elderly subjects and on carriers of dominantly inherited AD mutations have also found biomarker changes that allow separate groups in these preclinical stages. These studies may aid for segregate populations in clinical trials and objectively evaluate if there are changes over the pathological processes of AD. Limits to widespread use of CSF biomarkers, apart from the invasive nature of the process itself, is the higher coefficient of variation for the analyses between centres. It requires strict pre-analytical and analytical procedures that may make feasible multi-centre studies and global cut-off points for the different stages of AD.

  4. Clinical utility of certain biomarkers as predictors of breast cancer with or without metastasis among Egyptian females.

    Science.gov (United States)

    Ahmed, Samia A; Hamed, Manal A; Omar, Omar S

    2015-02-01

    The objective of this study is to explore and correlate the value of certain biomarkers in breast cancer (BC) females with and without metastasis after undergoing the surgical treatment protocol in the National Cancer Institute in Egypt. Thirty females (33-69 years), diagnosed as early breast cancer patients with or without metastasis, and 20 healthy individuals were selected for this study. The biomarkers under investigation were vascular endothelial growth factor (VEGF), C-reactive protein (CRP), interleukin-6 (IL-6), and interleukin-8 (IL-8). The correlation between these markers and the tumor grade was also evaluated. The results revealed a significant increase (p IL-8 in breast cancer patients with or without metastasis as compared to the healthy group. Surgical treatment of metastatic BC females showed a significant reduction of those parameters by variable degrees, whereas BC females without metastasis recorded the most inhibition levels. Also, there was positive correlation (p IL-8 as well as CRP and IL-6. In conclusion, the selected biomarkers may be beneficial for the prognosis of breast cancer and seem to be a diagnostic tool to differentiate between BC with or without metastasis. The descried surgical treatment protocol succeeded to attenuate the elevated biomarker levels and improve patient survival which deserves more extensive studies.

  5. Biomarkers of the Dementia

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    Mikio Shoji

    2011-01-01

    Full Text Available Recent advances in biomarker studies on dementia are summarized here. CSF Aβ40, Aβ42, total tau, and phosphorylated tau are the most sensitive biomarkers for diagnosis of Alzheimer's disease (AD and prediction of onset of AD from mild cognitive impairment (MCI. Based on this progress, new diagnostic criteria for AD, MCI, and preclinical AD were proposed by National Institute of Aging (NIA and Alzheimer's Association in August 2010. In these new criteria, progress in biomarker identification and amyloid imaging studies in the past 10 years have added critical information. Huge contributions of basic and clinical studies have established clinical evidence supporting these markers. Based on this progress, essential therapy for cure of AD is urgently expected.

  6. Biomarkers for neuromyelitis optica.

    Science.gov (United States)

    Chang, Kuo-Hsuan; Ro, Long-Sun; Lyu, Rong-Kuo; Chen, Chiung-Mei

    2015-02-01

    Neuromyelitis optica (NMO) is an acquired, heterogeneous inflammatory disorder, which is characterized by recurrent optic neuritis and longitudinally extensive spinal cord lesions. The discovery of the serum autoantibody marker, anti-aquaporin 4 (anti-AQP4) antibody, revolutionizes our understanding of pathogenesis of NMO. In addition to anti-AQP4 antibody, other biomarkers for NMO are also reported. These candidate biomarkers are particularly involved in T helper (Th)17 and astrocytic damages, which play a critical role in the development of NMO lesions. Among them, IL-6 in the peripheral blood is associated with anti-AQP4 antibody production. Glial fibrillary acidic protein (GFAP) in CSF demonstrates good correlations with clinical severity of NMO relapses. Detecting these useful biomarkers may be useful in the diagnosis and evaluation of disease activity of NMO. Development of compounds targeting these biomarkers may provide novel therapeutic strategies for NMO. This article will review the related biomarker studies in NMO and discuss the potential therapeutics targeting these biomarkers.

  7. Developing Outcomes Assessments as Endpoints for Registrational Clinical Trials of Antibacterial Drugs: 2015 Update From the Biomarkers Consortium of the Foundation for the National Institutes of Health.

    Science.gov (United States)

    Talbot, George H; Powers, John H; Hoffmann, Steven C

    2016-03-01

    One important component in determining the benefits and harms of medical interventions is the use of well-defined and reliable outcome assessments as endpoints in clinical trials. Improving endpoints can better define patient benefits, allowing more accurate assessment of drug efficacy and more informed benefit-vs-risk decisions; another potential plus is facilitating efficient trial design. Since our first report in 2012, 2 Foundation for the National Institutes of Health Biomarkers Consortium Project Teams have continued to develop outcome assessments for potential uses as endpoints in registrational clinical trials of community-acquired bacterial pneumonia and acute bacterial skin and skin structure infections. In addition, the teams have initiated similar work in the indications of hospital-acquired bacterial pneumonia and ventilator-associated bacterial pneumonia. This report provides an update on progress to date in these 4 diseases. PMID:26668337

  8. Personalized medicine using DNA biomarkers: a review

    OpenAIRE

    Ziegler, Andreas; Koch, Armin; Krockenberger, Katja; Großhennig, Anika

    2012-01-01

    Biomarkers are of increasing importance for personalized medicine, with applications including diagnosis, prognosis, and selection of targeted therapies. Their use is extremely diverse, ranging from pharmacodynamics to treatment monitoring. Following a concise review of terminology, we provide examples and current applications of three broad categories of biomarkers—DNA biomarkers, DNA tumor biomarkers, and other general biomarkers. We outline clinical trial phases for identifying and validat...

  9. Prediction of transition from ultra-high risk to first-episode psychosis using a probabilistic model combining history, clinical assessment and fatty-acid biomarkers

    Science.gov (United States)

    Clark, S R; Baune, B T; Schubert, K O; Lavoie, S; Smesny, S; Rice, S M; Schäfer, M R; Benninger, F; Feucht, M; Klier, C M; McGorry, P D; Amminger, G P

    2016-01-01

    Current criteria identifying patients with ultra-high risk of psychosis (UHR) have low specificity, and less than one-third of UHR cases experience transition to psychosis within 3 years of initial assessment. We explored whether a Bayesian probabilistic multimodal model, combining baseline historical and clinical risk factors with biomarkers (oxidative stress, cell membrane fatty acids, resting quantitative electroencephalography (qEEG)), could improve this specificity. We analyzed data of a UHR cohort (n=40) with a 1-year transition rate of 28%. Positive and negative likelihood ratios were calculated for predictor variables with statistically significant receiver operating characteristic curves (ROCs), which excluded oxidative stress markers and qEEG parameters as significant predictors of transition. We clustered significant variables into historical (history of drug use), clinical (Positive and Negative Symptoms Scale positive, negative and general scores and Global Assessment of Function) and biomarker (total omega-3, nervonic acid) groups, and calculated the post-test probability of transition for each group and for group combinations using the odds ratio form of Bayes' rule. Combination of the three variable groups vastly improved the specificity of prediction (area under ROC=0.919, sensitivity=72.73%, specificity=96.43%). In this sample, our model identified over 70% of UHR patients who transitioned within 1 year, compared with 28% identified by standard UHR criteria. The model classified 77% of cases as very high or low risk (P>0.9, <0.1) based on history and clinical assessment, suggesting that a staged approach could be most efficient, reserving fatty-acid markers for 23% of cases remaining at intermediate probability following bedside interview. PMID:27648919

  10. Cannabidiol As a Putative Novel Therapy for Diabetic Retinopathy: A Postulated Mechanism of Action as an Entry Point for Biomarker-Guided Clinical Development.

    Science.gov (United States)

    Liou, Gi; El-Remessy, Ab; Ibrahim, As; Caldwell, Rb; Khalifa, Ym; Gunes, A; Nussbaum, Jj

    2009-09-01

    Diabetic retinopathy is a leading cause of blindness in the Western world. However, treatment options for diabetic retinopathy are limited and display poor efficacy with marked patient-to-patient variation in therapeutic outcomes. Discovery of new molecular entities acting on mechanistically novel biological pathways remains as one of the key research priorities in diabetic retinopathy. Moreover, given the variable success of the existing treatment modalities, a targeted and personalized drug development strategy could be more fruitful for rational and successful transition of preclinical discoveries to the clinical realm. This review is focused on cannabidiol, a non-psychoactive native cannabinoid, as an emerging and novel therapeutic modality based on systematic studies in animal models of inflammatory retinal diseases including diabetic retinopathy - one of the retinal diseases associated with vascular neuroinflammation. We present the postulated and preclinically documented novel mechanisms that may underlie cannabidiol mode of action in diabetic retinopathy. We discuss the interindividual variation in pharmacokinetic pathways as well as in the SLC29A1 gene, a molecular target for cannabidiol. We emphasize that the novel mode of action of cannabidiol and the previous failures with nontargeted interventions in diabetic retinopathy collectively demand a more rational and personalized clinical development strategy for compounds that have shown promise at the preclinical stage. Moreover, it is noteworthy that ophthalmology, as a medical specialty, has fewer examples (e.g., compared to oncology) of personalized medicine and biomarker applications thus far. Understanding the biological action of cannabidiol in preclinical studies is therefore a rational first step to proactively map the pertinent biomarker strategies in clinical proof of concept studies in diabetic retinopathy, and to allow advances at the hitherto neglected intersection of personalized medicine and

  11. Biomarkers in Barrett's esophagus.

    Science.gov (United States)

    Reid, Brian J; Blount, Patricia L; Rabinovitch, Peter S

    2003-04-01

    This article provides a framework for clinicians who are attempting the difficult task of interpreting the Barrett's biomarker literature with the goal of improving care for their patients. Although many articles. including more that 60 proposed biomarkers, have been published on this subject, only a few describe phase 3 and 4 studies that are of interest to the clinical gastroenterologist (Table 1). For year, dysplasia grade has been the sole means of risk stratification for patients with BE, and it likely will continue to be used in the foreseeable future. The current authors believe that dysplasia classification can be valuable using the team management approach and quality controls described previously. Significant problems, however, have emerged in phase 2 through 4 studies of dysplasia that make it imperative for the Barrett's field to incorporate additional biomarkers as they are validated. These problems include poor reproducibility of dysplasia interpretations, poor predictive value for negative, indefinite, and low-grade dysplasia, and inconsistent results for HGD in different centers, all of which makes it virtually impossible to develop national guidelines for surveillance. Some studies have even suggested that endoscopic biopsy surveillance using dysplasia may not be worthwhile. Currently, flow cytometric tetraploidy and aneuploidy have progressed furthest in biomarker validation (see Table 1). With proper handling, endoscopic biopsy specimens can be shipped to reference laboratories that have the instruments, computer analytic methods, and expertise to reproducibly detect tetraploidy and aneuploidy. The results of phase 4 studies indicate that flow cytometry appears to be useful in detecting a subset of patients who do not have HGD and yet have an increased risk of progression to cancer that cannot be identified by dysplasia grade. For many reasons, the authors anticipate that the number of validated biomarkers will increase substantially in the

  12. Regular consumption of vitamin D-fortified yogurt drink (Doogh improved endothelial biomarkers in subjects with type 2 diabetes: a randomized double-blind clinical trial

    Directory of Open Access Journals (Sweden)

    Shab-Bidar Sakineh

    2011-11-01

    Full Text Available Abstract Background Endothelial dysfunction has been proposed as the underlying cause of diabetic angiopathy that eventually leads to cardiovascular disease, the major cause of death in diabetes. We recently demonstrated the ameliorating effect of regular vitamin D intake on the glycemic status of patients with type 2 diabetes (T2D. In this study, the effects of improvement of vitamin D status on glycemic status, lipid profile and endothelial biomarkers in T2D subjects were investigated. Methods Subjects with T2D were randomly allocated to one of the two groups to receive either plain yogurt drink (PYD; containing 170 mg calcium and no vitamin D/250 mL, n1 = 50 or vitamin D3-fortified yogurt drink (FYD; containing 170 mg calcium and 500 IU/250 mL, n2 = 50 twice a day for 12 weeks. Anthropometric measures, glycemic status, lipid profile, body fat mass (FM and endothelial biomarkers including serum endothelin-1, E-selectin and matrix metalloproteinase (MMP-9 were evaluated at the beginning and after the 12-week intervention period. Results The intervention resulted in a significant improvement in fasting glucose, the Quantitative Insulin Check Index (QUICKI, glycated hemoglobin (HbA1c, triacylglycerols, high-density lipoprotein cholesterol (HDL-C, endothelin-1, E-selectin and MMP-9 in FYD compared to PYD (P P = 0.028; -3.8 ± 7.3 versus 0.95 ± 8.3, P = 0.003 and -2.3 ± 3.7 versus 0.44 ± 7.1 ng/mL, respectively, P P = 0.009 and P = 0.005, respectively but disappeared for E-selectin (P = 0.092. On the contrary, after controlling for serum 25(OHD, the differences disappeared for endothelin-1(P = 0.066 and MMP-9 (P = 0.277 but still remained significant for E-selectin (P = 0.011. Conclusions Ameliorated vitamin D status was accompanied by improved glycemic status, lipid profile and endothelial biomarkers in T2D subjects. Our findings suggest both direct and indirect ameliorating effects of vitamin D on the endothelial biomarkers. Trial registration

  13. Biomarkers in Prostate Cancer Epidemiology

    Directory of Open Access Journals (Sweden)

    Mudit Verma

    2011-09-01

    Full Text Available Understanding the etiology of a disease such as prostate cancer may help in identifying populations at high risk, timely intervention of the disease, and proper treatment. Biomarkers, along with exposure history and clinical data, are useful tools to achieve these goals. Individual risk and population incidence of prostate cancer result from the intervention of genetic susceptibility and exposure. Biochemical, epigenetic, genetic, and imaging biomarkers are used to identify people at high risk for developing prostate cancer. In cancer epidemiology, epigenetic biomarkers offer advantages over other types of biomarkers because they are expressed against a person’s genetic background and environmental exposure, and because abnormal events occur early in cancer development, which includes several epigenetic alterations in cancer cells. This article describes different biomarkers that have potential use in studying the epidemiology of prostate cancer. We also discuss the characteristics of an ideal biomarker for prostate cancer, and technologies utilized for biomarker assays. Among epigenetic biomarkers, most reports indicate GSTP1 hypermethylation as the diagnostic marker for prostate cancer; however, NKX2-5, CLSTN1, SPOCK2, SLC16A12, DPYS, and NSE1 also have been reported to be regulated by methylation mechanisms in prostate cancer. Current challenges in utilization of biomarkers in prostate cancer diagnosis and epidemiologic studies and potential solutions also are discussed.

  14. Clinical proteomics identifies urinary CD14 as a potential biomarker for diagnosis of stable coronary artery disease.

    Directory of Open Access Journals (Sweden)

    Min-Yi Lee

    Full Text Available Inflammation plays a key role in coronary artery disease (CAD and other manifestations of atherosclerosis. Recently, urinary proteins were found to be useful markers for reflecting inflammation status of different organs. To identify potential biomarker for diagnosis of CAD, we performed one-dimensional SDS-gel electrophoresis followed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS. Among the proteins differentially expressed in urine samples, monocyte antigen CD14 was found to be consistently expressed in higher amounts in the CAD patients as compared to normal controls. Using enzyme-linked immunosorbent assays to analyze the concentrations of CD14 in urine and serum, we confirmed that urinary CD14 levels were significantly higher in patients (n = 73 with multi-vessel and single vessel CAD than in normal control (n = 35 (P < 0.001. Logistic regression analysis further showed that urinary CD14 concentration level is associated with severity or number of diseased vessels and SYNTAX score after adjustment for potential confounders. Concomitantly, the proportion of CD14+ monocytes was significantly increased in CAD patients (59.7 ± 3.6% as compared with healthy controls (14.9 ± 2.1% (P < 0.001, implicating that a high level of urinary CD14 may be potentially involved in mechanism(s leading to CAD pathogenesis. By performing shotgun proteomics, we further revealed that CD14-associated inflammatory response networks may play an essential role in CAD. In conclusion, the current study has demonstrated that release of CD14 in urine coupled with more CD14+ monocytes in CAD patients is significantly correlated with severity of CAD, pointing to the potential application of urinary CD14 as a novel noninvasive biomarker for large-scale diagnostic screening of susceptible CAD patients.

  15. Soluble monomers, dimers and HLA-G-expressing extracellular vesicles: the three dimensions of structural complexity to use HLA-G as a clinical biomarker.

    Science.gov (United States)

    Nardi, F da Silva; König, L; Wagner, B; Giebel, B; Santos Manvailer, L F; Rebmann, V

    2016-09-01

    The HLA-G molecule belongs to the family of nonclassical human leukocyte antigen (HLA) class I. At variance to classical HLA class I, HLA-G displays (i) a low number of nucleotide variations within the coding region, (ii) a high structural diversity, (iii) a restricted peptide repertoire, (iv) a limited tissue distribution and (v) strong immune-suppressive properties. The physiological HLA-G surface expression is restricted to the maternal-fetal interface and to immune-privileged adult tissues. Soluble forms of HLA-G (sHLA-G) are detectable in various body fluids. Cellular activation and pathological processes are associated with an aberrant or a neo-expression of HLA-G/sHLA-G. Functionally, HLA-G and its secreted forms are considered to be key players in the induction of short- and long-term tolerance. Thus, its unique expression profile and tolerance-inducing functions render HLA-G/sHLA-G an attractive biomarker to monitor the systemic health/disease status and disease activity/progression for clinical approaches in disease management and treatments. Here, we place emphasis on (i) the current status of the tolerance-inducing functions by HLA-G/sHLA-G, (ii) the current complexity to implement this molecule as a meaningful clinical biomarker regarding the three dimensions of structural diversity (monomers, dimers and HLA-G-expressing extracellular vesicles) with its functional implications, and (iii) novel and future approaches to detect and quantify sHLA-G structures and functions.

  16. A multimodal approach to investigate biomarkers for psychosis in a clinical setting: the integrative neuroimaging studies in schizophrenia targeting for early intervention and prevention (IN-STEP) project.

    Science.gov (United States)

    Koike, Shinsuke; Takano, Yosuke; Iwashiro, Norichika; Satomura, Yoshihiro; Suga, Motomu; Nagai, Tatsuya; Natsubori, Tatsunobu; Tada, Mariko; Nishimura, Yukika; Yamasaki, Syudo; Takizawa, Ryu; Yahata, Noriaki; Araki, Tsuyoshi; Yamasue, Hidenori; Kasai, Kiyoto

    2013-01-01

    Longitudinal clinical investigations and biological measurements have determined not only progressive brain volumetric and functional changes especially around the onset of psychosis but also the abnormality of developmental pathways based on gene-environment interaction model. However, these studies have contributed little to clinical decisions on their diagnosis and therapeutic choices because of subtle differences between patients and healthy controls. A multi-modal approach may resolve this limitation and is favorable to explore the pathophysiology of psychosis. The integrative neuroimaging studies for schizophrenia targeting early intervention and prevention (IN-STEP) is a research project aimed at exploring the pathophysiological features of the onset of psychosis and investigating possible predictive biomarkers for the clinical treatment of psychosis. Since 2008, we have adopted blood sampling, neurocognitive batteries, neurophysiological assessment, structural imaging, and functional imaging longitudinally for help-seeking ultra-high-risk (UHR) individuals and patients with first-episode psychosis (FEP). Here, we intend to introduce the IN-STEP research study protocol and present preliminary clinical findings. Thirty-seven UHR individuals and 30 patients with FEP participated in this study. Six months later, there was no difference in objective and subjective scores between the groups, which suggests that young people having symptoms and functional deficits should be cared for regardless of their history of psychosis according to their clinical stages. The rate of transition to psychosis was 7.1%, 8.0%, and 35.3% (at 6, 12, and 24months, respectively). Through this research project, we expect to clarify the pathophysiological features around the onset of psychosis and improve the prognosis of psychosis through clinical application. PMID:23219075

  17. Emerging biomarkers in psoriatic arthritis.

    Science.gov (United States)

    Paek, So Yeon; Han, Ling; Weiland, Matthew; Lu, Chuan-Jian; McKinnon, Kathleen; Zhou, Li; Lim, Henry W; Elder, James T; Mi, Qing-Sheng

    2015-12-01

    Psoriasis is an immune-mediated skin disease which affects 2-4% of the worldwide population. Approximately 20-30% of patients with psoriasis develop psoriatic arthritis (PsA), a frequently destructive and disabling condition. As skin manifestations precede joint symptoms in nearly all patients with PsA, identification of biomarkers for early prediction of joint damage is an important clinical need. Because not all patients with PsA respond to treatment in the same fashion, identification of biomarkers capable of predicting therapeutic response is also imperative. Here, we review existing literature and discuss current investigations to identify potential biomarkers for PsA disease activity, with particular emphasis on microRNAs as novel markers of interest. Serum (soluble) biomarkers, peripheral osteoclast precursor as cellular biomarkers, and genetic loci associated with skin and joint disease are also reviewed. PMID:26602058

  18. Emerging Biomarkers in Glioblastoma

    Energy Technology Data Exchange (ETDEWEB)

    McNamara, Mairéad G.; Sahebjam, Solmaz; Mason, Warren P., E-mail: warren.mason@uhn.ca [Pencer Brain Tumor Centre, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5G 2M9 (Canada)

    2013-08-22

    Glioblastoma, the most common primary brain tumor, has few available therapies providing significant improvement in survival. Molecular signatures associated with tumor aggressiveness as well as with disease progression and their relation to differences in signaling pathways implicated in gliomagenesis have recently been described. A number of biomarkers which have potential in diagnosis, prognosis and prediction of response to therapy have been identified and along with imaging modalities could contribute to the clinical management of GBM. Molecular biomarkers including O(6)-methlyguanine-DNA-methyltransferase (MGMT) promoter and deoxyribonucleic acid (DNA) methylation, loss of heterozygosity (LOH) of chromosomes 1p and 19q, loss of heterozygosity 10q, isocitrate dehydrogenase (IDH) mutations, epidermal growth factor receptor (EGFR), epidermal growth factor, latrophilin, and 7 transmembrane domain-containing protein 1 on chromosome 1 (ELTD1), vascular endothelial growth factor (VEGF), tumor suppressor protein p53, phosphatase and tensin homolog (PTEN), p16INK4a gene, cytochrome c oxidase (CcO), phospholipid metabolites, telomerase messenger expression (hTERT messenger ribonucleic acid [mRNA]), microRNAs (miRNAs), cancer stem cell markers and imaging modalities as potential biomarkers are discussed. Inclusion of emerging biomarkers in prospective clinical trials is warranted in an effort for more effective personalized therapy in the future.

  19. Data on clinical significance of second trimester inflammatory biomarkers in the amniotic fluid in predicting preterm delivery.

    Science.gov (United States)

    Kesrouani, Assaad; Chalhoub, Elie; El Rassy, Elie; Germanos, Mirna; Khazzaka, Aline; Rizkallah, Jamale; Attieh, Elie; Aouad, Norma

    2016-12-01

    In this article second trimester amniotic fluid biomarkers are measured for correlation with preterm delivery. One additional milliliter of amniotic fluid is collected during amniocentesis for dosages of IL-6, MMP-9, CRP and glucose levels, along with maternal serum CRP and glucose. MMP-9 and Il-6 levels were measured with the corresponding Human Quantikine(R) ELISA Kit (R&D systems) according to the instructions provided by the manufacturer. Cut-off values for AF MMP-9 and IL-6 were fixed by the kit sensitivity thresholds. Data includes ROC curves for glucose (Fig. 1), IL-6 (Fig. 2) and MMP-9 (Fig. 3), aiming to search for sensitivity and specificity in the prediction of premature delivery. Statistical analyses are performed with SPSS v20.0 software. Statistical significance is determined using the Mann-Whitney and one way ANOVA test. The association with preterm delivery is performed using a two proportions test. Correlations are measured using the Pearson׳'s coefficient. A p valueamniotic fluid" (A. Kesrouani, E. Chalhoub, E. El Rassy, M. Germanos, A. Khazzaka, J. Rizkallah, E. Attieh, N. Aouad, 2016) [1].

  20. Epidemiological and Clinical Baseline Characteristics as Predictive Biomarkers of Response to Anti-VEGF Treatment in Patients with Neovascular AMD

    Directory of Open Access Journals (Sweden)

    Miltiadis K. Tsilimbaris

    2016-01-01

    Full Text Available Purpose. To review the current literature investigating patient response to antivascular endothelial growth factor-A (VEGF therapy in the treatment of neovascular age-related macular degeneration (nAMD and to identify baseline characteristics that might predict response. Method. A literature search of the PubMed database was performed, using the keywords: AMD, anti-VEGF, biomarker, optical coherence tomography, treatment outcome, and predictor. The search was limited to articles published from 2006 to date. Exclusion criteria included phase 1 trials, case reports, studies focusing on indications other than nAMD, and oncology. Results. A total of 1467 articles were identified, of which 845 were excluded. Of the 622 remaining references, 47 met all the search criteria and were included in this review. Conclusion. Several baseline characteristics correlated with anti-VEGF treatment response, including best-corrected visual acuity, age, lesion size, and retinal thickness. The majority of factors were associated with disease duration, suggesting that longer disease duration before treatment results in worse treatment outcomes. This highlights the need for early treatment for patients with nAMD to gain optimal treatment outcomes. Many of the identified baseline characteristics are interconnected and cannot be evaluated in isolation; therefore multivariate analyses will be required to determine any specific relationship with treatment response.

  1. Testing of the preliminary OMERACT validation criteria for a biomarker to be regarded as reflecting structural damage endpoints in rheumatoid arthritis clinical trials: the example of C-reactive protein

    DEFF Research Database (Denmark)

    Keeling, Stephanie O; Landewe, Robert; van der Heijde, Desiree;

    2007-01-01

    OBJECTIVE: A list of 14 criteria for guiding the validation of a soluble biomarker as reflecting structural damage endpoints in rheumatoid arthritis (RA) clinical trials was drafted by an international working group after a Delphi consensus exercise. C-reactive protein (CRP), a soluble biomarker...... of individual criteria in the draft set. METHODS: A systematic literature review was conducted to elicit evidence in support of each specific criterion composing the 14-criteria draft set. A summary of the key literature findings per criterion was presented to both the working group and to participants...

  2. [Novel biomarkers for diabetic nephropathy].

    Science.gov (United States)

    Araki, Shin-ichi

    2014-02-01

    Diabetic nephropathy is a leading cause of end-stage renal disease worldwide. An early clinical sign of this complication is an increase of urinary albumin excretion, called microalbuminuria, which is not only a predictor of the progression of nephropathy, but also an independent risk factor for cardiovascular disease. Although microalbuminuria is clinically important to assess the prognosis of diabetic patients, it may be insufficient as an early and specific biomarker of diabetic nephropathy because of a large day-to-day variation and lack of a good correlation of microalbuminuria with renal dysfunction and pathohistological changes. Thus, more sensitive and specific biomarkers are needed to improve the diagnostic capability of identifying patients at high risk. The factors involved in renal tubulo-interstitial damage, the production and degradation of extracellular matrix, microinflammation, etc., are investigated as candidate molecules. Despite numerous efforts so far, the assessment of these biomarkers is still a subject of ongoing investigations. Recently, a variety of omics and quantitative techniques in systems biology are rapidly emerging in the field of biomarker discovery, including proteomics, transcriptomics, and metabolomics, and they have been applied to search for novel putative biomarkers of diabetic nephropathy. Novel biomarkers or their combination with microalbuminuria provide a better diagnostic accuracy than microalbuminuria alone, and may be useful for establishing personal medicine. Furthermore, the identification of novel biomarkers may provide insight into the mechanisms underlying diabetic nephropathy.

  3. Clinical and biomarker changes in premanifest Huntington disease show trial feasibility: a decade of the PREDICT-HD study

    Directory of Open Access Journals (Sweden)

    Jane S Paulsen

    2014-04-01

    Full Text Available There is growing consensus that intervention and treatment of Huntington disease (HD should occur at the earliest stage possible. Various early-intervention methods for this fatal neurodegenerative disease have been identified, but preventive clinical trials for HD are limited by a lack of knowledge of the natural history of the disease and a dearth of appropriate outcome measures. Objectives of the current study are to document the natural history of premanifest HD progression in the largest cohort ever studied and to develop a battery of imaging and clinical markers of premanifest HD progression that can be used as outcome measures in preventive clinical trials. PREDICT-HD is a 32-site, international, observational study of premanifest HD, with annual examination of 1013 participants with premanifest HD and 301 gene-expansion negative controls between 2001 and 2012. Findings document 39 variables representing imaging, motor, cognitive, functional, and psychiatric domains, showing different rates of decline between premanifest Huntington disease and controls. Required sample size and models of premanifest HD are presented to inform future design of clinical and preclinical research. Preventive clinical trials in premanifest HD with participants who have a medium or high probability of motor onset are calculated to be as resource-effective as those conducted in diagnosed HD and could interrupt disease seven to twelve years earlier. Methods and measures for preventive clinical trials in premanifest HD more than a dozen years from motor onset are also feasible. These findings represent the most thorough documentation of a clinical battery for experimental therapeutics in stages of premanifest HD, the time period for which effective intervention may provide the most positive possible outcome for patients and their families affected by this devastating disease.

  4. Neuroimaging Biomarkers for Psychosis

    Science.gov (United States)

    Hager, Brandon M.

    2015-01-01

    Background Biomarkers provide clinicians with a predictable model for the diagnosis, treatment and follow-up of medical ailments. Psychiatry has lagged behind other areas of medicine in the identification of biomarkers for clinical diagnosis and treatment. In this review, we investigated the current state of neuroimaging as it pertains to biomarkers for psychosis. Methods We reviewed systematic reviews and meta-analyses of the structural (sMRI), functional (fMRI), diffusion-tensor (DTI), Positron emission tomography (PET) and spectroscopy (MRS) studies of subjects at-risk or those with an established schizophrenic illness. Only articles reporting effect-sizes and confidence intervals were included in an assessment of robustness. Results Out of the identified meta-analyses and systematic reviews, 21 studies met the inclusion criteria for assessment. There were 13 sMRI, 4 PET, 3 MRS, and 1 DTI studies. The search terms included in the current review encompassed familial high risk (FHR), clinical high risk (CHR), First episode (FES), Chronic (CSZ), schizophrenia spectrum disorders (SSD), and healthy controls (HC). Conclusions Currently, few neuroimaging biomarkers can be considered ready for diagnostic use in patients with psychosis. At least in part, this may be related to the challenges inherent in the current symptom-based approach to classifying these disorders. While available studies suggest a possible value of imaging biomarkers for monitoring disease progression, more systematic research is needed. To date, the best value of imaging data in psychoses has been to shed light on questions of disease pathophysiology, especially through the characterization of endophenotypes. PMID:25883891

  5. Biomarkers in Prostate Cancer Epidemiology

    OpenAIRE

    Mudit Verma; Mukesh Verma; Payal Patel

    2011-01-01

    Understanding the etiology of a disease such as prostate cancer may help in identifying populations at high risk, timely intervention of the disease, and proper treatment. Biomarkers, along with exposure history and clinical data, are useful tools to achieve these goals. Individual risk and population incidence of prostate cancer result from the intervention of genetic susceptibility and exposure. Biochemical, epigenetic, genetic, and imaging biomarkers are used to identify people at high ris...

  6. A putative biomarker signature for clinically effective AKT inhibition: correlation of in vitro, in vivo and clinical data identifies the importance of modulation of the mTORC1 pathway.

    Science.gov (United States)

    Cheraghchi-Bashi, Azadeh; Parker, Christine A; Curry, Ed; Salazar, Jean-Frederic; Gungor, Hatice; Saleem, Azeem; Cunnea, Paula; Rama, Nona; Salinas, Cristian; Mills, Gordon B; Morris, Shannon R; Kumar, Rakesh; Gabra, Hani; Stronach, Euan A

    2015-12-01

    Our identification of dysregulation of the AKT pathway in ovarian cancer as a platinum resistance specific event led to a comprehensive analysis of in vitro, in vivo and clinical behaviour of the AKT inhibitor GSK2141795. Proteomic biomarker signatures correlating with effects of GSK2141795 were developed using in vitro and in vivo models, well characterised for related molecular, phenotypic and imaging endpoints. Signatures were validated in temporally paired biopsies from patients treated with GSK2141795 in a clinical study. GSK2141795 caused growth-arrest as single agent in vitro, enhanced cisplatin-induced apoptosis in vitro and reduced tumour volume in combination with platinum in vivo. GSK2141795 treatment in vitro and in vivo resulted in ~50-90% decrease in phospho-PRAS40 and 20-80% decrease in fluoro-deoxyglucose (FDG) uptake. Proteomic analysis of GSK2141795 in vitro and in vivo identified a signature of pathway inhibition including changes in AKT and p38 phosphorylation and total Bim, IGF1R, AR and YB1 levels. In patient biopsies, prior to treatment with GSK2141795 in a phase 1 clinical trial, this signature was predictive of post-treatment changes in the response marker CA125. Development of this signature represents an opportunity to demonstrate the clinical importance of AKT inhibition for re-sensitisation of platinum resistant ovarian cancer to platinum. PMID:26497682

  7. Cefditoren versus levofloxacin in patients with exacerbations of chronic bronchitis: serum inflammatory biomarkers, clinical efficacy, and microbiological eradication

    OpenAIRE

    Blasi F; Tarsia P; Mantero M; Morlacchi LC; Piffer F

    2013-01-01

    Francesco Blasi, Paolo Tarsia, Marco Mantero, Letizia C Morlacchi, Federico PifferDepartment of Pathophysiology and Transplantation, University of Milan, IRCCS Fondazione Cà Granda Ospedale Maggiore Policlinico, Milan, ItalyBackground: The aim of this open-label, randomized, parallel-group pilot study was to evaluate the efficacy of cefditoren pivoxil and levofloxacin in terms of speed of reduction in inflammatory parameters, clinical recovery, and microbiological eradication.Metho...

  8. Molecular Imaging of Biomarkers in Breast Cancer

    Science.gov (United States)

    Ulaner, Gary A.; Riedl, Chris C.; Dickler, Maura N.; Jhaveri, Komal; Pandit-Taskar, Neeta; Weber, Wolfgang

    2016-01-01

    The success of breast cancer therapy is ultimately defined by clinical endpoints such as survival. It is valuable to have biomarkers that can predict the most efficacious therapies or measure response to therapy early in the course of treatment. Molecular imaging has a promising role in complementing and overcoming some of the limitations of traditional biomarkers by providing the ability to perform noninvasive, repeatable whole-body assessments. The potential advantages of imaging biomarkers are obvious and initial clinical studies have been promising, but proof of clinical utility still requires prospective multicenter clinical trials. PMID:26834103

  9. Biomarkers of fibrosis and impaired liver function in chronic hepatitis C: how well do they predict clinical outcomes?

    DEFF Research Database (Denmark)

    Peters, L.; Rockstroh, J.K.

    2010-01-01

    patients at risk of liver-related complications. Findings from studies investigating the validity of the Model for End-Stage Liver Disease (MELD) score in HIV-infected liver transplant candidates are conflicting. Two large studies of HIV/hepatitis C virus (HCV) coinfected patients have shown that plasma...... levels of the fibrosis marker hyaluronic acid are a strong predictor of clinical complications. A smaller study found hyaluronic acid and two other fibrosis tests, aspartate aminotransferase-to-platelet ratio index (APRI) and Fib-4, to be independent predictors of mortality when included in models...

  10. Urinary Biomarkers of Brain Diseases

    Directory of Open Access Journals (Sweden)

    Manxia An

    2015-12-01

    Full Text Available Biomarkers are the measurable changes associated with a physiological or pathophysiological process. Unlike blood, urine is not subject to homeostatic mechanisms. Therefore, greater fluctuations could occur in urine than in blood, better reflecting the changes in human body. The roadmap of urine biomarker era was proposed. Although urine analysis has been attempted for clinical diagnosis, and urine has been monitored during the progression of many diseases, particularly urinary system diseases, whether urine can reflect brain disease status remains uncertain. As some biomarkers of brain diseases can be detected in the body fluids such as cerebrospinal fluid and blood, there is a possibility that urine also contain biomarkers of brain diseases. This review summarizes the clues of brain diseases reflected in the urine proteome and metabolome.

  11. Biomarkers of latent TB infection

    DEFF Research Database (Denmark)

    Ruhwald, Morten; Ravn, Pernille

    2009-01-01

    For the last 100 years, the tuberculin skin test (TST) has been the only diagnostic tool available for latent TB infection (LTBI) and no biomarker per se is available to diagnose the presence of LTBI. With the introduction of M. tuberculosis-specific IFN-gamma release assays (IGRAs), a new area of...... in vitro immunodiagnostic tests for LTBI based on biomarker readout has become a reality. In this review, we discuss existing evidence on the clinical usefulness of IGRAs and the indefinite number of potential new biomarkers that can be used to improve diagnosis of latent TB infection. We also...... present early data suggesting that the monocyte-derived chemokine inducible protein-10 may be useful as a novel biomarker for the immunodiagnosis of latent TB infection....

  12. Peripheral Blood Biomarkers in Idiopathic Pulmonary Fibrosis

    OpenAIRE

    Vij, Rekha; Noth, Imre

    2012-01-01

    In this article, we review the evidence for peripheral blood biomarkers in idiopathic pulmonary fibrosis (IPF), a life-threatening fibrotic lung disease of unknown etiology. We focus on selected biomarkers present in peripheral blood, as they are easy to obtain, can be measured longitudinally, and have the greatest likelihood of achieving clinical utility. This article concentrates on biomarkers with mechanistic plausibility that may be directly involved in the development of IPF, including K...

  13. Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification.

    Directory of Open Access Journals (Sweden)

    Igor O Korolev

    Full Text Available Individuals with mild cognitive impairment (MCI have a substantially increased risk of developing dementia due to Alzheimer's disease (AD. In this study, we developed a multivariate prognostic model for predicting MCI-to-dementia progression at the individual patient level.Using baseline data from 259 MCI patients and a probabilistic, kernel-based pattern classification approach, we trained a classifier to distinguish between patients who progressed to AD-type dementia (n = 139 and those who did not (n = 120 during a three-year follow-up period. More than 750 variables across four data sources were considered as potential predictors of progression. These data sources included risk factors, cognitive and functional assessments, structural magnetic resonance imaging (MRI data, and plasma proteomic data. Predictive utility was assessed using a rigorous cross-validation framework.Cognitive and functional markers were most predictive of progression, while plasma proteomic markers had limited predictive utility. The best performing model incorporated a combination of cognitive/functional markers and morphometric MRI measures and predicted progression with 80% accuracy (83% sensitivity, 76% specificity, AUC = 0.87. Predictors of progression included scores on the Alzheimer's Disease Assessment Scale, Rey Auditory Verbal Learning Test, and Functional Activities Questionnaire, as well as volume/cortical thickness of three brain regions (left hippocampus, middle temporal gyrus, and inferior parietal cortex. Calibration analysis revealed that the model is capable of generating probabilistic predictions that reliably reflect the actual risk of progression. Finally, we found that the predictive accuracy of the model varied with patient demographic, genetic, and clinical characteristics and could be further improved by taking into account the confidence of the predictions.We developed an accurate prognostic model for predicting MCI-to-dementia progression

  14. Free and Cued Memory in relation to Biomarker-Defined Abnormalities in Clinically Normal Older Adults and Those at Risk for Alzheimer’s Disease

    Science.gov (United States)

    Papp, Kathryn V.; Amariglio, Rebecca E.; Mormino, Elizabeth; Hedden, Trey; Dekhytar, Maria; Johnson, Keith A.; Sperling, Reisa A.; Rentz, Dorene M.

    2015-01-01

    Objectives Furthering our understanding of the relationship between amyloidosis (Aβ), neurodegeneration (ND), and cognition is imperative for early identification and early intervention of Alzheimer’s disease (AD). However, the subtle cognitive decline differentially associated with each biomarker-defined stage of preclinical AD has yet to be fully characterized. Recent work indicates that different components of memory performance (free and cued recall) may be differentially specific to memory decline in prodromal AD. We sought to examine the relationship between free and cued recall paradigms, in addition to global composites of memory, executive functioning, and processing speed in relation to stages of preclinical AD. Methods A total of 260 clinically normal (CN) older adults (CDR=0) from the Harvard Aging Brain study were grouped according to preclinical AD stages including Stage 0 (Aβ−/ND−), Stage 1 (Aβ+/ND−), Stage 2 (Aβ+/ND+), and suspected non-Alzheimer’s associated pathology (SNAP; Aβ−/ND+). General linear models controlling for age, sex, and education were used to assess for stage-based performance differences on cognitive composites of executive functioning, processing speed, and memory in addition to free and cued delayed recall on the Selective Reminding Test (SRT) and Memory Capacity Test (MCT). Results Global memory performance differed between preclinical stages with Stage 2 performing worse compared with Stage 0. When examining free and cued paradigms by memory test, only the MCT (and not the SRT) revealed group differences. More specifically, Stage 1 was associated with decrements in free recall compared with Stage 0 while Stage 2 was associated with decrements in both free and cued recall. There was a trend for the SNAP group to perform worse on free recall compared with Stage 0. Finally, there was no association between preclinical stage and global composites of executive functioning or processing speed. Conclusions Clinically

  15. Periodontal treatment effects on endothelial function and cardiovascular disease biomarkers in subjects with chronic periodontitis: protocol for a randomized clinical trial

    Directory of Open Access Journals (Sweden)

    Arce Roger M

    2011-02-01

    Full Text Available Abstract Background Periodontal disease (PD is an infectious clinical entity characterized by the destruction of supporting tissues of the teeth as the result of a chronic inflammatory response in a susceptible host. It has been proposed that PD as subclinical infection may contribute to the etiology and to the pathogenesis of several systemic diseases including Atherosclerosis. A number of epidemiological studies link periodontal disease/edentulism as independent risk factor for acute myocardial infarction, peripheral vascular disease, and cerebrovascular disease. Moreover, new randomized controlled clinical trials have shown an improvement on cardiovascular surrogate markers (endothelial function, sICAM, hsPCR level, fibrinogen after periodontal treatment. Nonetheless, such trials are still limited in terms of external validity, periodontal treatment strategies, CONSORT-based design and results consistency/extrapolation. The current study is designed to evaluate if periodontal treatment with scaling and root planning plus local delivered chlorhexidine improves endothelial function and other biomarkers of cardiovascular disease in subjects with moderate to severe periodontitis. Methods/Design This randomized, single-blind clinical trial will be performed at two health centers and will include two periodontal treatment strategies. After medical/periodontal screening, a baseline endothelium-dependent brachial artery flow-mediated dilatation (FMD and other systemic surrogate markers will be obtained from all recruited subjects. Patients then will be randomized to receive either supragingival/subgingival plaque cleaning and calculus removal plus chlorhexidine (treatment group or supragingival plaque removal only (control group. A second and third FMD will be obtained after 24 hours and 12 weeks in both treatment arms. Each group will consist of 49 patients (n = 98 and all patients will be followed-up for secondary outcomes and will be monitored

  16. Study on genotoxicity, oxidative stress biomarkers and clinical symptoms in workers of an asbestos-cement factory.

    Science.gov (United States)

    Afaghi, Azam; Oryan, Shahrbanoo; Rahzani, Kobra; Abdollahi, Mohammad

    2015-01-01

    The purpose of the present study was to investigate whether the markers of oxidative stress could be altered in workers exposed to asbestos. A comparative cross-sectional research was conducted in a group of 50 subjects exposed to asbestos and another group of 50 with the same age and sex unexposed to asbestos. Malondialdehyde (MDA), total thiol molecule (TTM), total antioxidant capacity (TAC), and DNA damage, were measured in the blood samples of workers and controls. Compared to the control group, the workers showed higher blood levels of DNA damage (P=0.0001) and MDA (P=0.0001). The workers showed lower TTM (P=0.02) as compared with the control group. There was no considerable difference on the level of TAC (P=0.1) between the groups. The workers indicated clinical symptoms such as breathlessness, phlegm, coughing and wheezing. There was a positive correlation between levels of 8-OHdG and MDA of asbestos workers and the smoking status suggesting the negative role of smoking. PMID:27004050

  17. DNA Methylation Biomarkers: Cancer and Beyond

    Directory of Open Access Journals (Sweden)

    Thomas Mikeska

    2014-09-01

    Full Text Available Biomarkers are naturally-occurring characteristics by which a particular pathological process or disease can be identified or monitored. They can reflect past environmental exposures, predict disease onset or course, or determine a patient’s response to therapy. Epigenetic changes are such characteristics, with most epigenetic biomarkers discovered to date based on the epigenetic mark of DNA methylation. Many tissue types are suitable for the discovery of DNA methylation biomarkers including cell-based samples such as blood and tumor material and cell-free DNA samples such as plasma. DNA methylation biomarkers with diagnostic, prognostic and predictive power are already in clinical trials or in a clinical setting for cancer. Outside cancer, strong evidence that complex disease originates in early life is opening up exciting new avenues for the detection of DNA methylation biomarkers for adverse early life environment and for estimation of future disease risk. However, there are a number of limitations to overcome before such biomarkers reach the clinic. Nevertheless, DNA methylation biomarkers have great potential to contribute to personalized medicine throughout life. We review the current state of play for DNA methylation biomarkers, discuss the barriers that must be crossed on the way to implementation in a clinical setting, and predict their future use for human disease.

  18. Biomarkers in Alzheimer’s disease

    Institute of Scientific and Technical Information of China (English)

    Rajka M Liscic; Yuanhan Yang

    2016-01-01

    Alzheimer’s disease (AD) so far did not have promising treatment. The accurate and early diagnosis is still the important issue. For these purpose, biomarkers related to diagnosis, clinical course, and other aims have been proposed and reported. Meanwhile, along with the ongoing researches for AD, biomarkers with their own aims are also on the way.

  19. Biomarkers in sarcoidosis: a review

    Directory of Open Access Journals (Sweden)

    Ahmadzai H

    2014-08-01

    Full Text Available Hasib Ahmadzai,1,2 Wei Sheng Joshua Loke,1 Shuying Huang,1 Cristan Herbert,1 Denis Wakefield,3 Paul S Thomas2 1Inflammation and Infection Research Centre (IIRC, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia; 2Department of Respiratory Medicine, Prince of Wales Hospital, Randwick, Sydney, NSW, Australia; 3Immunology of the Eye Clinic, St Vincent's Clinic, Darlinghurst, Sydney, NSW, Australia Abstract: Sarcoidosis is a systemic granulomatous disease of undetermined etiology invariably affecting the lungs and thoracic lymph nodes. It has been termed an “immune paradox”, as there is peripheral anergy despite exaggerated inflammation at disease sites. The disease is usually self-limiting, although some individuals experience unremitting inflammation that may progress into pulmonary fibrosis and death. The inflammatory process is largely a T helper-1-driven immune response. Given its heterogeneous clinical manifestations, diagnosis is usually a clinical conundrum. Clinical and radiological findings alone are often inadequate to confirm the diagnosis. At present, sarcoidosis is usually a diagnosis of exclusion, confirmed by histological evidence of noncaseating granulomas in the absence of known granulomagenic agents. This has compelled researchers to look for disease-specific biomarkers that can help diagnose sarcoidosis and delineate its disease course, severity, and prognosis. In this review we highlight various investigations used to diagnose sarcoidosis, outline proposed biomarkers, and discuss novel methods of sampling biomarkers. Keywords: sarcoidosis, biomarkers, inflammatory markers, exhaled breath condensate, proteomics, granuloma

  20. Biomarkers in fibromyalgia: a review

    Directory of Open Access Journals (Sweden)

    Giacomelli C

    2014-02-01

    Full Text Available Camillo Giacomelli,* Francesca Sernissi,* Alessandra Rossi, Stefano Bombardieri, Laura BazzichiRheumatology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy *These authors contributed equally to the manuscript Abstract: Fibromyalgia is a common syndrome diagnosed by clinical criteria. The main symptom of fibromyalgia is pain, but patients frequently also complain about other nonspecific symptoms, such as headache, sleep disturbance, mood disorder, and cognitive impairment. In the light of the multifactorial origin of the disease and of the lack of objective diagnostic findings, several attempts have been made to find a reliable biomarker. For this reason, over the years, a number of patients and various biological samples have been studied, using many different approaches and techniques. Despite this, none of these studies has been able to find the proper biomarker. The aim of this review is to provide a critical overview of the current environment characterizing the search for fibromyalgia biomarkers. Keywords: genetics, proteomics, oxidative stress, fibromyalgia

  1. Novel diagnostic biomarkers for prostate cancer

    Directory of Open Access Journals (Sweden)

    Chikezie O. Madu, Yi Lu

    2010-01-01

    Full Text Available Prostate cancer is the most frequently diagnosed malignancy in American men, and a more aggressive form of the disease is particularly prevalent among African Americans. The therapeutic success rate for prostate cancer can be tremendously improved if the disease is diagnosed early. Thus, a successful therapy for this disease depends heavily on the clinical indicators (biomarkers for early detection of the presence and progression of the disease, as well as the prediction after the clinical intervention. However, the current clinical biomarkers for prostate cancer are not ideal as there remains a lack of reliable biomarkers that can specifically distinguish between those patients who should be treated adequately to stop the aggressive form of the disease and those who should avoid overtreatment of the indolent form.A biomarker is a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. A biomarker reveals further information to presently existing clinical and pathological analysis. It facilitates screening and detecting the cancer, monitoring the progression of the disease, and predicting the prognosis and survival after clinical intervention. A biomarker can also be used to evaluate the process of drug development, and, optimally, to improve the efficacy and safety of cancer treatment by enabling physicians to tailor treatment for individual patients. The form of the prostate cancer biomarkers can vary from metabolites and chemical products present in body fluid to genes and proteins in the prostate tissues.Current advances in molecular techniques have provided new tools facilitating the discovery of new biomarkers for prostate cancer. These emerging biomarkers will be beneficial and critical in developing new and clinically reliable indicators that will have a high specificity for the diagnosis and prognosis of

  2. Novel diagnostic biomarkers for prostate cancer.

    Science.gov (United States)

    Madu, Chikezie O; Lu, Yi

    2010-10-06

    Prostate cancer is the most frequently diagnosed malignancy in American men, and a more aggressive form of the disease is particularly prevalent among African Americans. The therapeutic success rate for prostate cancer can be tremendously improved if the disease is diagnosed early. Thus, a successful therapy for this disease depends heavily on the clinical indicators (biomarkers) for early detection of the presence and progression of the disease, as well as the prediction after the clinical intervention. However, the current clinical biomarkers for prostate cancer are not ideal as there remains a lack of reliable biomarkers that can specifically distinguish between those patients who should be treated adequately to stop the aggressive form of the disease and those who should avoid overtreatment of the indolent form.A biomarker is a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. A biomarker reveals further information to presently existing clinical and pathological analysis. It facilitates screening and detecting the cancer, monitoring the progression of the disease, and predicting the prognosis and survival after clinical intervention. A biomarker can also be used to evaluate the process of drug development, and, optimally, to improve the efficacy and safety of cancer treatment by enabling physicians to tailor treatment for individual patients. The form of the prostate cancer biomarkers can vary from metabolites and chemical products present in body fluid to genes and proteins in the prostate tissues.Current advances in molecular techniques have provided new tools facilitating the discovery of new biomarkers for prostate cancer. These emerging biomarkers will be beneficial and critical in developing new and clinically reliable indicators that will have a high specificity for the diagnosis and prognosis of prostate cancer. The

  3. The noradrenaline metabolite MHPG is a candidate biomarker from the manic to the remission state in bipolar disorder I: a clinical naturalistic study.

    Directory of Open Access Journals (Sweden)

    Masatake Kurita

    Full Text Available Remission is the primary goal of treatment for bipolar disorder I (BDI. Metabolites of noradrenaline and dopamine, 3-methoxy-4-hydroxyphenylglycol (MHPG and homovanillic acid (HVA, respectively, are reduced by treatment with antipsychotics, but whether these phenomena are caused by antipsychotics or by the pathophysiology of BDI is not known. Interactions between brain-derived neurotrophic factor (BDNF and mood disorders have also been suggested. We conducted a multifaceted study in BDI patients to ascertain if biological markers are associated with the manic state. Patients with Young Mania Rating Scale (YMRS scores >20 participated in the study. Final analyses involved 24 BDI patients (13 men and 11 women. We used YMRS scores to identify mania stages in individual BDI patients (i.e., manic syndrome, response and remission stages. Statistical analyses were done using one-way repeated-measures analyses of variance (rep-ANOVA throughout manic syndrome, response and remission stages. Plasma concentrations of MHPG and HVA were analyzed by high-performance liquid chromatography with electrochemical detection. Plasma levels of BDNF were measured by sandwich enzyme-linked immunosorbent assay. BDI patients had significantly reduced plasma levels of MHPG throughout manic syndrome, response and remission stages (rep-ANOVA, p = 0.002. Without a case of response state, there was a significant positive correlation between YMRS scores and plasma levels of MHPG (ρ = 0.33, p = 0.033, n = 48. Plasma levels of HVA and BDNF were not significantly altered throughout manic syndrome, response and remission stages. These data suggest that the peripheral level of MHPG (which is associated with noradrenaline levels in the brain could be used as a biomarker for the manic state in BDI. The MHPG level is likely to reflect the clinical characteristics of the manic syndrome in BDI, and noradrenaline may reflect the pathophysiology from manic to remission

  4. Molecular biomarkers for grass pollen immunotherapy.

    Science.gov (United States)

    Popescu, Florin-Dan

    2014-03-26

    Grass pollen allergy represents a significant cause of allergic morbidity worldwide. Component-resolved diagnosis biomarkers are increasingly used in allergy practice in order to evaluate the sensitization to grass pollen allergens, allowing the clinician to confirm genuine sensitization to the corresponding allergen plant sources and supporting an accurate prescription of allergy immunotherapy (AIT), an important approach in many regions of the world with great plant biodiversity and/or where pollen seasons may overlap. The search for candidate predictive biomarkers for grass pollen immunotherapy (tolerogenic dendritic cells and regulatory T cells biomarkers, serum blocking antibodies biomarkers, especially functional ones, immune activation and immune tolerance soluble biomarkers and apoptosis biomarkers) opens new opportunities for the early detection of clinical responders for AIT, for the follow-up of these patients and for the development of new allergy vaccines.

  5. Advances in Biomarker Research in Parkinson's Disease.

    Science.gov (United States)

    Mehta, Shyamal H; Adler, Charles H

    2016-01-01

    Parkinson's disease (PD) is the second most common neurodegenerative disease, and the numbers are projected to double in the next two decades with the increase in the aging population. An important focus of current research is to develop interventions to slow the progression of the disease. However, prerequisites to it include the development of reliable biomarkers for early diagnosis which would identify at-risk groups and disease progression. In this review, we present updated evidence of already known clinical biomarkers (such as hyposmia and rapid eye movement (REM) sleep behavior disorder (RBD)) and neuroimaging biomarkers, as well as newer possible markers in the blood, CSF, and other tissues. While several promising candidates and methods to assess these biomarkers are on the horizon, it is becoming increasingly clear that no one candidate will clearly fulfill all the roles as a single biomarker. A multimodal and combinatorial approach to develop a battery of biomarkers will likely be necessary in the future. PMID:26711276

  6. Antidepressant Efficacy of Adjunctive Aerobic Activity and Associated Biomarkers in Major Depression: A 4-Week, Randomized, Single-Blind, Controlled Clinical Trial.

    Directory of Open Access Journals (Sweden)

    Cristiana Carvalho Siqueira

    Full Text Available Major depressive disorder (MDD is a highly prevalent, heterogeneous and systemic medical condition. Treatment options are limited, and recent studies have suggested that physical exercise can play an important role in the therapeutics of MDD. The aim of this study was to evaluate the antidepressant efficacy of adjunctive aerobic activity in association with pharmacotherapy (selective serotonin reuptake inhibitor in symptomatic MDD as well as its association with physiological biomarkers.In this randomized, single-blind, add-on, controlled clinical trial, 57 patients (18-55 years of age were followed-up for 28 days. All patients were drug-free, had been diagnosed with symptomatic MDD and received flexible dose of sertraline during the trial. Patients were randomized to either a 4-week program (4x/week of add-on aerobic exercise (exercise group, N = 29 or no activity (control group, N = 28. Depression severity was assessed using the Hamilton Rating Scale for Depression (HAM-D as the primary outcome. At baseline and endpoint, all patients underwent a comprehensive metabolic/cardiopulmonary exercise testing-including determination of maximal oxygen uptake (VO2max, VO2 at the second ventilatory threshold (VO2-VT2, and oxygen pulse (O2 pulse.Depression scores significantly decreased in both groups after intervention. Importantly, patients in the aerobic exercise group required lower sertraline dose compared to the control group (sertraline monotherapy. The VO2max and O2 pulse parameters increased over time only in the exercise group and remained unchanged in the control group.The present findings suggest that a 4-week training of aerobic exercise significantly improves functional capacity in patients with MDD and may be associated with antidepressant efficacy. This approach may also decrease the need for higher doses of antidepressants to achieve response. Further studies in unmedicated and treatment-resistant MDD patients are needed in order to

  7. Biomarkers of replicative senescence revisited

    DEFF Research Database (Denmark)

    Nehlin, Jan

    2016-01-01

    of telomere length and associated damage, and the accompanying changes that take place elicit signals that have an impact on a number of molecules and downstream events. Precise measurements of replicative senescence biomarkers in biological samples from individuals could be clinically associated...

  8. Current and emerging biomarkers of hepatotoxicity

    Directory of Open Access Journals (Sweden)

    Yang X

    2012-08-01

    Full Text Available Xi Yang, William F Salminen, Laura K SchnackenbergDivision of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USAAbstract: Drug-induced liver injury (DILI is of great concern to human health. Generally, liver function and injury is evaluated based upon clinical signs, a select group of serum clinical biomarkers, and occasionally liver biopsies. While alanine aminotransferase, the most commonly used biomarker of hepatocellular injury, is a sensitive marker of liver injury, it is not necessarily specific for liver injury. Furthermore, alanine aminotransferase levels may not always correlate with the extent of injury. Therefore, new hepatotoxicity biomarkers are needed that are more predictive and specific indicators of liver injury and altered function. In addition, no current biomarker provides prognostic information about ultimate outcome once injury occurs, and any new biomarker filling this need is desperately needed. The omics technologies, including genomics, proteomics, and metabolomics, are being used in preclinical animal studies as well as clinical studies to evaluate markers of hepatotoxicity in easily obtained biofluids, such as urine and serum. Recently, the evaluation of circulating microRNAs in urine and blood has also shown promise for the identification of novel, sensitive markers of liver injury. This review evaluates the current status of proposed biomarkers of hepatotoxicity from the omics platforms, as well as from analysis of microRNAs. A brief description of the qualification of proposed biomarkers is also given.Keywords: biomarkers, hepatotoxicity, metabolomics, microRNA, proteomics, transcriptomics

  9. Diagnostic and prognostic epigenetic biomarkers in cancer.

    Science.gov (United States)

    Costa-Pinheiro, Pedro; Montezuma, Diana; Henrique, Rui; Jerónimo, Carmen

    2015-01-01

    Growing cancer incidence and mortality worldwide demands development of accurate biomarkers to perfect detection, diagnosis, prognostication and monitoring. Urologic (prostate, bladder, kidney), lung, breast and colorectal cancers are the most common and despite major advances in their characterization, this has seldom translated into biomarkers amenable for clinical practice. Epigenetic alterations are innovative cancer biomarkers owing to stability, frequency, reversibility and accessibility in body fluids, entailing great potential of assay development to assist in patient management. Several studies identified putative epigenetic cancer biomarkers, some of which have been commercialized. However, large multicenter validation studies are required to foster translation to the clinics. Herein we review the most promising epigenetic detection, diagnostic, prognostic and predictive biomarkers for the most common cancers.

  10. Statistical design and evaluation of biomarker studies.

    Science.gov (United States)

    Dobbin, Kevin K

    2014-01-01

    We review biostatistical aspects of biomarker studies, including design and analysis issues, covering the range of settings required for translational research-from early exploratory studies through clinical trials.

  11. Diffusion-weighted MRI of breast lesions: a prospective clinical investigation of the quantitative imaging biomarker characteristics of reproducibility, repeatability, and diagnostic accuracy.

    Science.gov (United States)

    Spick, Claudio; Bickel, Hubert; Pinker, Katja; Bernathova, Maria; Kapetas, Panagiotis; Woitek, Ramona; Clauser, Paola; Polanec, Stephan H; Rudas, Margaretha; Bartsch, Rupert; Helbich, Thomas H; Baltzer, Pascal A

    2016-10-01

    Diffusion-weighted MRI (DWI) provides insights into tissue microstructure by visualization and quantification of water diffusivity. Quantitative evaluation of the apparent diffusion coefficient (ADC) obtained from DWI has been proven helpful for differentiating between malignant and benign breast lesions, for cancer subtyping in breast cancer patients, and for prediction of response to neoadjuvant chemotherapy. However, to further establish DWI of breast lesions it is important to evaluate the quantitative imaging biomarker (QIB) characteristics of reproducibility, repeatability, and diagnostic accuracy. In this intra-individual prospective clinical study 40 consecutive patients with suspicious findings, scheduled for biopsy, underwent an identical 3T breast MRI protocol of the breast on two consecutive days (>24 h). Mean ADC of target lesions was assessed (two independent readers) in four separate sessions. Reproducibility, repeatability, and diagnostic accuracy between examinations (E1, E2), readers (R1, R2), and measurements (M1, M2) were assessed with intraclass correlation coefficients (ICCs), coefficients of variation (CVs), Bland-Altman plots, and receiver operating characteristic (ROC) analysis with calculation of the area under the ROC curve (AUC). The standard of reference was either histopathology (n = 38) or imaging follow-up of up to 24 months (n = 2). Eighty breast MRI examinations (median E1-E2, 2 ± 1.7 days, 95% confidence interval (CI) 1-2 days, range 1-11 days) in 40 patients (mean age 56, standard deviation (SD) ±14) were evaluated. In 55 target lesions (mean size 25.2 ± 20.8 (SD) mm, range 6-106 mm), mean ADC values were significantly (P 0.9, CVs 3.2-8%), indicating little variation. Bland-Altman plots demonstrated no systematic differences, and diagnostic accuracy was not significantly different in the two repeated examinations (all ROC curves >0.91, P > 0.05). High reproducibility, repeatability, and diagnostic accuracy of

  12. Exploring Biomarkers for Alzheimer's Disease.

    Science.gov (United States)

    Sharma, Neeti; Singh, Anshika Nikita

    2016-07-01

    Alzheimer's Disease (AD) is one of the most common form of dementia occurring in elderly population worldwide. Currently Aβ42, tau and p-tau in the cerebrospinal fluid is estimated for confirmation of AD. CSF which is being used as the potent source for biomarker screening is obtained by invasive lumbar punctures. Thus, there is an urgent need of minimal invasive methods for identification of diagnostic markers for early detection of AD. Blood serum and plasma serves as an appropriate source, due to minimal discomfort to the patients, promoting frequent testing, better follow-up and better consent to clinical trials. Hence, the need of the hour demands discovery of diagnostic and prognostic patient specific signature biomarkers by using emerging technologies of mass spectrometry, microarrays and peptidomics. In this review we summarize the present scenario of AD biomarkers such as circulatory biomarkers, blood based amyloid markers, inflammatory markers and oxidative stress markers being investigated and also some of the potent biomarkers which might be able to predict early onset of Alzheimer's and delay cognitive impairment. PMID:27630867

  13. Detection of serological biomarkers by proximity extension assay for detection of colorectal neoplasias in symptomatic individuals

    DEFF Research Database (Denmark)

    Buch Thorsen, Stine; Lundberg, Martin; Villablanca, Andrea;

    2013-01-01

    of biomarkers from the bench to clinical practice we initiated a biomarker study focusing on a novel technique, the proximity extension assay, with multiplexing capability and the possible additive effect obtained from biomarker panels. We performed a screening of 74 different biomarkers in plasma derived from...

  14. Melanoma biomarkers: Vox clamantis in deserto (Review).

    Science.gov (United States)

    Al-Shaer, Mays; Gollapudi, Divya; Papageorgio, Chris

    2010-05-01

    Detecting malignant melanoma at an early stage, monitoring therapy, predicting recurrence and identifying patients at risk for metastasis continue to be a challenging and demanding objective. The last two decades have witnessed innovations in the field of melanoma biomarkers. However, global agreement concerning monitoring and early detection has yet to be reached. This is a review of the current literature regarding melanoma biomarkers including demographic, clinical, pathological and molecular biomarkers that are produced by melanoma or non-melanoma cells. A number of these biomarkers demonstrate promising results as possible methods for early detection, predicting recurrence and monitoring therapy. Other biomarkers appear to be promising for identifying patients at risk for metastasis. We reviewed the most pertinent information in the field thus far and how this knowledge can impact, or not, the management of melanoma patients prognostically and therapeutically. PMID:22966315

  15. Translating pharmacodynamic biomarkers from bench to bedside: analytical validation and fit-for-purpose studies to qualify multiplex immunofluorescent assays for use on clinical core biopsy specimens.

    Science.gov (United States)

    Marrero, Allison; Lawrence, Scott; Wilsker, Deborah; Voth, Andrea Regier; Kinders, Robert J

    2016-08-01

    Multiplex pharmacodynamic (PD) assays have the potential to increase sensitivity of biomarker-based reporting for new targeted agents, as well as revealing significantly more information about target and pathway activation than single-biomarker PD assays. Stringent methodology is required to ensure reliable and reproducible results. Common to all PD assays is the importance of reagent validation, assay and instrument calibration, and the determination of suitable response calibrators; however, multiplex assays, particularly those performed on paraffin specimens from tissue blocks, bring format-specific challenges adding a layer of complexity to assay development. We discuss existing multiplex approaches and the development of a multiplex immunofluorescence assay measuring DNA damage and DNA repair enzymes in response to anti-cancer therapeutics and describe how our novel method addresses known issues. PMID:27663477

  16. Synovial tissue and serum biomarkers of disease activity, therapeutic response and radiographic progression: analysis of a proof-of-concept randomised clinical trial of cytokine blockade.

    LENUS (Irish Health Repository)

    Rooney, Terence

    2012-02-01

    OBJECTIVES: To evaluate synovial tissue and serum biomarkers of disease activity, therapeutic response and radiographic progression during biological therapy for rheumatoid arthritis (RA). METHODS: Patients with active RA entered a randomised study of anakinra 100 mg\\/day, administered as monotherapy or in combination with pegsunercept 800 microg\\/kg twice a week. Arthroscopic synovial tissue biopsies were obtained at baseline and two further time points. Following immunohistochemical staining, selected mediators of RA pathophysiology were quantified using digital image analysis. Selected mediators were also measured in the serum. RESULTS: Twenty-two patients were randomly assigned: 11 received monotherapy and 11 combination therapy. American College of Rheumatology 20, 50 and 70 response rates were 64%, 64% and 46% with combination therapy and 36%, 9% and 0% with monotherapy, respectively. In synovial tissue, T-cell infiltration, vascularity and transforming growth factor beta (TGFbeta) expression demonstrated significant utility as biomarkers of disease activity and therapeutic response. In serum, interleukin 6 (IL-6), matrix metalloproteinase (MMP) 1, MMP-3 and tissue inhibitor of metalloproteinase 1 (TIMP-1) were most useful in this regard. An early decrease in serum levels of TIMP-1 was predictive of the later therapeutic outcome. Pretreatment tissue levels of T-cell infiltration and the growth factors vascular endothelial growth factor\\/TGFbeta, and serum levels of IL-6, IL-8, MMP-1, TIMP-1, soluble tumour necrosis factor receptor types I and II and IL-18 correlated with radiographic progression. CONCLUSIONS: Synovial tissue analysis identified biomarkers of disease activity, therapeutic response and radiographic progression. Biomarker expression in tissue was independent of the levels measured in the serum.

  17. Clinical Significance of Arterial Stiffness and Thickness Biomarkers in Type 2 Diabetes Mellitus: An Up-To-Date Meta-Analysis

    OpenAIRE

    Yapei, Yang; Xiaoyan, Ren; Sha, Zeng; Li, Pan; Xiao, Meng; Shuangfeng, Chen; Lexin, Wang; Lianqun, Cui

    2015-01-01

    Background Type 2 Diabetes mellitus (T2DM) is associated with increased risk of cardiovascular disease (CVD). Previous studies explored the association of T2DM with arterial stiffness and thickness biomarkers including the augmentation index (AIX), aortic pulse wave velocity (aPWV), brachial-ankle PWV (baPWV), carotid intima-media wall thickness (IMT) as well as blood pressure (BP), low density lipoprotein cholesterol (LDL-C); however the conclusions are either inconsistent or incomprehensive...

  18. Biomarker-based dissection of neurodegenerative diseases.

    Science.gov (United States)

    Olsson, Bob; Zetterberg, Henrik; Hampel, Harald; Blennow, Kaj

    2011-12-01

    The diagnosis of neurodegenerative diseases within neurology and psychiatry are hampered by the difficulty in getting biopsies and thereby validating the diagnosis by pathological findings. Biomarkers for other types of disease have been readily adopted into the clinical practice where for instance troponins are standard tests when myocardial infarction is suspected. However, the use of biomarkers for neurodegeneration has not been fully incorporated into the clinical routine. With the development of cerebrospinal fluid (CSF) biomarkers that reflect pathological events within the central nervous system (CNS), important clinical diagnostic tools are becoming available. This review summarizes the most promising biomarker candidates that may be used to monitor different types of neurodegeneration and protein inclusions, as well as different types of metabolic changes, in living patients in relation to the clinical phenotype and disease progression over time. Our aim is to provide the reader with an updated lexicon on currently available biomarker candidates, how far they have come in development and how well they reflect pathogenic processes in different neurodegenerative diseases. Biomarkers for specific pathogenetic processes would also be valuable tools both to study disease pathogenesis directly in patients and to identify and monitor the effect of novel treatment strategies.

  19. Biomarkers in Computational Toxicology

    Science.gov (United States)

    Biomarkers are a means to evaluate chemical exposure and/or the subsequent impacts on toxicity pathways that lead to adverse health outcomes. Computational toxicology can integrate biomarker data with knowledge of exposure, chemistry, biology, pharmacokinetics, toxicology, and e...

  20. Cytokines as Biomarkers in Rheumatoid Arthritis

    Directory of Open Access Journals (Sweden)

    Agata Burska

    2014-01-01

    Full Text Available RA is a complex disease that develops as a series of events often referred to as disease continuum. RA would benefit from novel biomarker development for diagnosis where new biomarkers are still needed (even if progresses have been made with the inclusion of ACPA into the ACR/EULAR 2010 diagnostic criteria and for prognostic notably in at risk of evolution patients with autoantibody-positive arthralgia. Risk biomarkers for rapid evolution or cardiovascular complications are also highly desirable. Monitoring biomarkers would be useful in predicting relapse. Finally, predictive biomarkers for therapy outcome would allow tailoring therapy to the individual. Increasing numbers of cytokines have been involved in RA pathology. Many have the potential as biomarkers in RA especially as their clinical utility is already established in other diseases and could be easily transferable to rheumatology. We will review the current knowledge’s relation to cytokine used as biomarker in RA. However, given the complexity and heterogeneous nature of RA, it is unlikely that a single cytokine may provide sufficient discrimination; therefore multiple biomarker signatures may represent more realistic approach for the future of personalised medicine in RA.

  1. Combination of biomarkers

    DEFF Research Database (Denmark)

    Thurfjell, Lennart; Lötjönen, Jyrki; Lundqvist, Roger;

    2012-01-01

    The New National Institute on Aging-Alzheimer's Association diagnostic guidelines for Alzheimer's disease (AD) incorporate biomarkers in the diagnostic criteria and suggest division of biomarkers into two categories: Aβ accumulation and neuronal degeneration or injury.......The New National Institute on Aging-Alzheimer's Association diagnostic guidelines for Alzheimer's disease (AD) incorporate biomarkers in the diagnostic criteria and suggest division of biomarkers into two categories: Aβ accumulation and neuronal degeneration or injury....

  2. CSF biomarkers in neurodegenerative and vascular dementias.

    Science.gov (United States)

    Llorens, Franc; Schmitz, Matthias; Ferrer, Isidro; Zerr, Inga

    2016-01-01

    Neurodegenerative diseases with abnormal protein aggregates such as Alzheimer's disease, tauopathies, synucleinopathies, and prionopathies, together with vascular encephalopathies, are cause of cognitive impairment and dementia. Identification of reliable biomarkers in biological fluids, particularly in the cerebrospinal fluid (CSF), is of extreme importance in optimizing the precise early clinical diagnosis of distinct entities and predicting the outcome in particular settings. In addition, the study of CSF biomarkers is useful to identify and monitor the underlying pathological processes developing in the central nervous system of affected individuals. Evidence suggests that levels of key CSF molecules correlate, in some circumstances, with prediction, disease progression, and severity of cognitive decline. Correlation of CSF markers and underlying pathological molecular substrates in brain is an exciting field for further study. However, while some dementias such as Creutzfeldt-Jakob disease have accurate CSF biomarkers, other disease types such as dementia with Lewy bodies, vascular dementia, and frontotemporal dementia lack reliable biomarkers for their specific clinical diagnosis. PMID:27016008

  3. Biomarkers in acute lung injury.

    Science.gov (United States)

    Mokra, Daniela; Kosutova, Petra

    2015-04-01

    Acute respiratory distress syndrome (ARDS) and its milder form acute lung injury (ALI) may result from various diseases and situations including sepsis, pneumonia, trauma, acute pancreatitis, aspiration of gastric contents, near-drowning etc. ALI/ARDS is characterized by diffuse alveolar injury, lung edema formation, neutrophil-derived inflammation, and surfactant dysfunction. Clinically, ALI/ARDS is manifested by decreased lung compliance, severe hypoxemia, and bilateral pulmonary infiltrates. Severity and further characteristics of ALI/ARDS may be detected by biomarkers in the plasma and bronchoalveolar lavage fluid (or tracheal aspirate) of patients. Changed concentrations of individual markers may suggest injury or activation of the specific types of lung cells-epithelial or endothelial cells, neutrophils, macrophages, etc.), and thereby help in diagnostics and in evaluation of the patient's clinical status and the treatment efficacy. This chapter reviews various biomarkers of acute lung injury and evaluates their usefulness in diagnostics and prognostication of ALI/ARDS.

  4. Genetic biomarkers in hypertrophic cardiomyopathy.

    Science.gov (United States)

    Coats, Caroline J; Elliott, Perry M

    2013-08-01

    Hypertrophic cardiomyopathy is a common inherited heart muscle disorder associated with sudden cardiac death, arrhythmias and heart failure. Genetic mutations can be identified in approximately 60% of patients; these are commonest in genes that encode proteins of the cardiac sarcomere. Similar to other Mendelian diseases these mutations are characterized by incomplete penetrance and variable clinical expression. Our knowledge of this genetic diversity is rapidly evolving as high-throughput DNA sequencing technology is now used to characterize an individual patient's disease. In addition, the genomic basis of several multisystem diseases associated with a hypertrophic cardiomyopathy phenotype has been elucidated. Genetic biomarkers can be helpful in making an accurate diagnosis and in identifying relatives at risk of developing the condition. In the clinical setting, genetic testing and genetic screening should be used pragmatically with appropriate counseling. Here we review the current role of genetic biomarkers in hypertrophic cardiomyopathy, highlight recent progress in the field and discuss future challenges.

  5. Finding good biomarkers for sarcopenia

    OpenAIRE

    Scharf, Gesine; Heineke, Joerg

    2012-01-01

    The term sarcopenia describes the age-related loss of skeletal muscle mass and function. While this process, in principal, occurs in every adult person and already starts around the age of 40, it is associated with disability, morbidity, and increased mortality in some individuals. In the absence of clear clinical manifestation, we today lack the ability to differentiate between physiological and pathological sarcopenia. In this regard, we need good biomarkers that can be quantified in a reli...

  6. Melanoma biomarkers: Vox clamantis in deserto (Review)

    OpenAIRE

    AL-SHAER, MAYS; GOLLAPUDI, DIVYA; PAPAGEORGIO, CHRIS

    2010-01-01

    Detecting malignant melanoma at an early stage, monitoring therapy, predicting recurrence and identifying patients at risk for metastasis continue to be a challenging and demanding objective. The last two decades have witnessed innovations in the field of melanoma biomarkers. However, global agreement concerning monitoring and early detection has yet to be reached. This is a review of the current literature regarding melanoma biomarkers including demographic, clinical, pathological and molecu...

  7. Current status of biomarker research in neurology

    OpenAIRE

    Polivka, Jiri; Krakorova, Kristyna; Peterka, Marek; Topolcan, Ondrej

    2016-01-01

    Neurology is one of the typical disciplines where personalized medicine has been recently becoming an important part of clinical practice. In this article, the brief overview and a number of examples of the use of biomarkers and personalized medicine in neurology are described. The various issues in neurology are described in relation to the personalized medicine and diagnostic, prognostic as well as predictive blood and cerebrospinal fluid biomarkers. Such neurological domains discussed in t...

  8. Tissue Microarrays in Non-Small Cell Lung Cancer: Reliability of Immunohistochemically-Determined Biomarkers

    DEFF Research Database (Denmark)

    Pøhl, Mette; Olsen, Karen Ege; Holst, René;

    2014-01-01

    BACKGROUND: The reliability of immunohistochemically-determined biomarkers using tissue microarrays (TMAs) of clinical specimens has long been open to question. Heterogeneity related to tumor biology might compromise determination of accurate biomarker expression in tumors, especially in small core...... samples. However, the optimal number of cores required for biomarkers with functional properties varied from 1 to > 4 cores. The results indicate that the optimal number of biopsies required to compensate for potential biomarker heterogeneity should be determined individually for each biomarker used...

  9. Biomarkers in Parkinson's disease (recent update).

    Science.gov (United States)

    Sharma, Sushil; Moon, Carolyn Seungyoun; Khogali, Azza; Haidous, Ali; Chabenne, Anthony; Ojo, Comfort; Jelebinkov, Miriana; Kurdi, Yousef; Ebadi, Manuchair

    2013-09-01

    Parkinson's disease (PD) is the second most common neurodegenerative disorder mostly affecting the aging population over sixty. Cardinal symptoms including, tremors, muscle rigidity, drooping posture, drooling, walking difficulty, and autonomic symptoms appear when a significant number of nigrostriatal dopaminergic neurons are already destroyed. Hence we need early, sensitive, specific, and economical peripheral and/or central biomarker(s) for the differential diagnosis, prognosis, and treatment of PD. These can be classified as clinical, biochemical, genetic, proteomic, and neuroimaging biomarkers. Novel discoveries of genetic as well as nongenetic biomarkers may be utilized for the personalized treatment of PD during preclinical (premotor) and clinical (motor) stages. Premotor biomarkers including hyper-echogenicity of substantia nigra, olfactory and autonomic dysfunction, depression, hyposmia, deafness, REM sleep disorder, and impulsive behavior may be noticed during preclinical stage. Neuroimaging biomarkers (PET, SPECT, MRI), and neuropsychological deficits can facilitate differential diagnosis. Single-cell profiling of dopaminergic neurons has identified pyridoxal kinase and lysosomal ATPase as biomarker genes for PD prognosis. Promising biomarkers include: fluid biomarkers, neuromelanin antibodies, pathological forms of α-Syn, DJ-1, amyloid β and tau in the CSF, patterns of gene expression, metabolomics, urate, as well as protein profiling in the blood and CSF samples. Reduced brain regional N-acetyl-aspartate is a biomarker for the in vivo assessment of neuronal loss using magnetic resonance spectroscopy and T2 relaxation time with MRI. To confirm PD diagnosis, the PET biomarkers include [(18)F]-DOPA for estimating dopaminergic neurotransmission, [(18)F]dG for mitochondrial bioenergetics, [(18)F]BMS for mitochondrial complex-1, [(11)C](R)-PK11195 for microglial activation, SPECT imaging with (123)Iflupane and βCIT for dopamine transporter, and urinary

  10. Identification of Metabolite Biomarkers of the Designer Hallucinogen 25I-NBOMe in Mouse Hepatic Microsomal Preparations and Human Urine Samples Associated with Clinical Intoxication.

    Science.gov (United States)

    Poklis, Justin L; Dempsey, Sara K; Liu, Kai; Ritter, Joseph K; Wolf, Carl; Zhang, Shijun; Poklis, Alphonse

    2015-10-01

    'NBOMe' (dimethoxyphenyl-N-[(2-methoxyphenyl)methyl]ethanamine) derivatives are a new class of designer hallucinogenic drugs widely available on the Internet. Currently, 2-(4-iodo-2,5-dimethoxyphenyl)-N-[(2-methoxyphenyl)methyl]ethanamine (25I-NBOMe) is the most popular abused derivative in the USA. There are little published data on the absorption, metabolism and elimination of 25I-NBOMe, or any of the other NBOMe derivatives. Therefore, there are no definitive metabolite biomarkers. We present the identification of fifteen 25I-NBOMe metabolites in phase I and II mouse hepatic microsomal preparations, and analysis of two human urine samples from 25I-NBOMe-intoxicated patients to test the utility of these metabolites as biomarkers of 25I-NBOMe use. The synthesis of two major urinary metabolites, 2-iodo-4-methoxy-5-[2-[(2-methoxyphenyl) methylamino]ethyl]phenol (2-O-desmethyl-5-I-NBOMe, M5) and 5-iodo-4-methoxy-2-[2-[(2-methoxyphenyl)methylamino]ethyl]phenol (5-O-desmethyl-2-I-NBOMe), is also presented. Seven phase II glucuronidated metabolites of the O-desmethyl or the hydroxylated phase I metabolites were identified. One human urine sample contained 25I-NBOMe as well as all 15 metabolites identified in mouse hepatic microsomal preparations. Another human urine sample contained no parent 25I-NBOMe, but was found to contain three O-desmethyl metabolites. We recommend β-glucuronidase enzymatic hydrolysis of urine prior to 25I-NBOMe screening and the use of M5 as the primary biomarker in drug testing. PMID:26378134

  11. Oxidative stress markers, secondary bile acids and sulfated bile acids classify the clinical liver injury type: Promising diagnostic biomarkers for cholestasis.

    Science.gov (United States)

    Masubuchi, Noriko; Sugihara, Masahiro; Sugita, Tomonori; Amano, Katsushi; Nakano, Masanori; Matsuura, Tomokazu

    2016-08-01

    Clinicians sometimes encounter difficulty in choosing a therapeutic strategy due to the uncertainty regarding the type of liver injury. In particular, cholestasis is difficult to diagnose by conventional markers at an early stage of disease. The aim of this study was to identify promising biomarkers for distinguishing the symptom-based types of liver injury (e.g. hepatocellular injury, cholestasis), which was derived from a rigorously statistical perspective. The associations between diagnostic biomarkers (e.g. bile acid components, oxidative stress markers and liver fibrosis markers) and the liver injury types were assessed by a multiple logistic regression analysis using 304 blood samples from patients with liver disease. As a result, reductions in the lithocholic acid (LCA) and deoxycholic acid (DCA) levels, and elevation of the serum sulfated bile acid (SSBA), liver fibrosis marker IV collagen (type IV collagen), hyaluronic acid (HA) and reactive oxygen species (ROS) levels were all significantly associated with cholestasis. On the other hand, elevations in the LCA and type IV collagen levels, and a reduction in the ursodeoxy cholic acid (UDCA) level, were significantly associated with hepatocellular injury. The receiver operating characteristic (ROC) analyses showed that the largest area under the ROC curve (AUC) was found for ROS, followed by DCA, HA, LCA, SSBA and type IV collagen in the cholestatic-type cases. These results indicated that ROS, the secondary bile acid levels such as DCA and LCA, and SSBA are promising biomarkers for cholestasis and for classifying the type of liver injuries. This comprehensive approach will allow for an accurate diagnosis, which will facilitate the selection of an appropriate therapy at the onset of disease. PMID:26325587

  12. Identification of Metabolite Biomarkers of the Designer Hallucinogen 25I-NBOMe in Mouse Hepatic Microsomal Preparations and Human Urine Samples Associated with Clinical Intoxication.

    Science.gov (United States)

    Poklis, Justin L; Dempsey, Sara K; Liu, Kai; Ritter, Joseph K; Wolf, Carl; Zhang, Shijun; Poklis, Alphonse

    2015-10-01

    'NBOMe' (dimethoxyphenyl-N-[(2-methoxyphenyl)methyl]ethanamine) derivatives are a new class of designer hallucinogenic drugs widely available on the Internet. Currently, 2-(4-iodo-2,5-dimethoxyphenyl)-N-[(2-methoxyphenyl)methyl]ethanamine (25I-NBOMe) is the most popular abused derivative in the USA. There are little published data on the absorption, metabolism and elimination of 25I-NBOMe, or any of the other NBOMe derivatives. Therefore, there are no definitive metabolite biomarkers. We present the identification of fifteen 25I-NBOMe metabolites in phase I and II mouse hepatic microsomal preparations, and analysis of two human urine samples from 25I-NBOMe-intoxicated patients to test the utility of these metabolites as biomarkers of 25I-NBOMe use. The synthesis of two major urinary metabolites, 2-iodo-4-methoxy-5-[2-[(2-methoxyphenyl) methylamino]ethyl]phenol (2-O-desmethyl-5-I-NBOMe, M5) and 5-iodo-4-methoxy-2-[2-[(2-methoxyphenyl)methylamino]ethyl]phenol (5-O-desmethyl-2-I-NBOMe), is also presented. Seven phase II glucuronidated metabolites of the O-desmethyl or the hydroxylated phase I metabolites were identified. One human urine sample contained 25I-NBOMe as well as all 15 metabolites identified in mouse hepatic microsomal preparations. Another human urine sample contained no parent 25I-NBOMe, but was found to contain three O-desmethyl metabolites. We recommend β-glucuronidase enzymatic hydrolysis of urine prior to 25I-NBOMe screening and the use of M5 as the primary biomarker in drug testing.

  13. Identification of Metabolite Biomarkers of the Designer Hallucinogen 25I-NBOMe in Mouse Hepatic Microsomal Preparations and Human Urine Samples Associated with Clinical Intoxication

    Science.gov (United States)

    Poklis, Justin L.; Dempsey, Sara K.; Liu, Kai; Ritter, Joseph K.; Wolf, Carl; Zhang, Shijun; Poklis, Alphonse

    2015-01-01

    ‘NBOMe’ (dimethoxyphenyl-N-[(2-methoxyphenyl)methyl]ethanamine) derivatives are a new class of designer hallucinogenic drugs widely available on the Internet. Currently, 2-(4-iodo-2,5-dimethoxyphenyl)-N-[(2-methoxyphenyl)methyl]ethanamine (25I-NBOMe) is the most popular abused derivative in the USA. There are little published data on the absorption, metabolism and elimination of 25I-NBOMe, or any of the other NBOMe derivatives. Therefore, there are no definitive metabolite biomarkers. We present the identification of fifteen 25I-NBOMe metabolites in phase I and II mouse hepatic microsomal preparations, and analysis of two human urine samples from 25I-NBOMe-intoxicated patients to test the utility of these metabolites as biomarkers of 25I-NBOMe use. The synthesis of two major urinary metabolites, 2-iodo-4-methoxy-5-[2-[(2-methoxyphenyl) methylamino]ethyl]phenol (2-O-desmethyl-5-I-NBOMe, M5) and 5-iodo-4-methoxy-2-[2-[(2-methoxyphenyl)methylamino]ethyl]phenol (5-O-desmethyl-2-I-NBOMe), is also presented. Seven phase II glucuronidated metabolites of the O-desmethyl or the hydroxylated phase I metabolites were identified. One human urine sample contained 25I-NBOMe as well as all 15 metabolites identified in mouse hepatic microsomal preparations. Another human urine sample contained no parent 25I-NBOMe, but was found to contain three O-desmethyl metabolites. We recommend β-glucuronidase enzymatic hydrolysis of urine prior to 25I-NBOMe screening and the use of M5 as the primary biomarker in drug testing. PMID:26378134

  14. Differential effect of polyphenol-rich dark chocolate on biomarkers of glucose metabolism and cardiovascular risk factors in healthy, overweight and obese subjects: a randomized clinical trial.

    Science.gov (United States)

    Almoosawi, S; Tsang, C; Ostertag, L M; Fyfe, L; Al-Dujaili, E A S

    2012-10-01

    The association between excess cortisol and various parameters of metabolic syndrome including hypertension, insulin resistance and dyslipidaemia is increasingly recognised. The present single-blind randomised placebo-controlled cross-over study compared the effect of polyphenol-rich dark chocolate (DC) on biomarkers of glucose metabolism, lipid profile, and blood pressure (BP) in females with BMI ≥ 25 kg m(-2) (n = 21) and females with BMI metabolic benefits of consuming polyphenol-rich dark chocolate while demonstrating the possibility of adverse effects occurring with polyphenol-poor chocolate placebo. PMID:22796902

  15. Approaching a diagnostic point-of-care test for pediatric tuberculosis through evaluation of immune biomarkers across the clinical disease spectrum

    DEFF Research Database (Denmark)

    Jenum, Synne; Dhanasekaran, S; Lodha, Rakesh;

    2016-01-01

    The World Health Organization (WHO) calls for an accurate, rapid, and simple point-of-care (POC) test for the diagnosis of pediatric tuberculosis (TB) in order to make progress "Towards Zero Deaths". Whereas the sensitivity of a POC test based on detection of Mycobacterium tuberculosis (MTB...... (CD14, FCGR1A, FPR1, MMP9, RAB24, SEC14L1, and TIMP2) or "downstream" towards a decreased likelihood of TB disease (BLR1, CD3E, CD8A, IL7R, and TGFBR2), suggesting a correlation with MTB-related pathology and high relevance to a future POC test for pediatric TB. A biomarker signature consisting of BPI...

  16. Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criteria for Alzheimer’s disease

    Science.gov (United States)

    Jack, Clifford R; Barkhof, Frederik; Bernstein, Matt A; Cantillon, Marc; Cole, Patricia E; DeCarli, Charles; Dubois, Bruno; Duchesne, Simon; Fox, Nick C; Frisoni, Giovanni B; Hampel, Harald; Hill, Derek LG; Johnson, Keith; Mangin, Jean-François; Scheltens, Philip; Schwarz, Adam J; Sperling, Reisa; Suhy, Joyce; Thompson, Paul M; Weiner, Michael; Foster, Norman L

    2012-01-01

    Background The promise of Alzheimer’s disease (AD) biomarkers has led to their incorporation in new diagnostic criteria and in therapeutic trials; however, significant barriers exist to widespread use. Chief among these is the lack of internationally accepted standards for quantitative metrics. Hippocampal volumetry is the most widely studied quantitative magnetic resonance imaging (MRI) measure in AD and thus represents the most rational target for an initial effort at standardization. Methods and Results The authors of this position paper propose a path toward this goal. The steps include: 1) Establish and empower an oversight board to manage and assess the effort, 2) Adopt the standardized definition of anatomic hippocampal boundaries on MRI arising from the EADC-ADNI hippocampal harmonization effort as a Reference Standard, 3) Establish a scientifically appropriate, publicly available Reference Standard Dataset based on manual delineation of the hippocampus in an appropriate sample of subjects (ADNI), and 4) Define minimum technical and prognostic performance metrics for validation of new measurement techniques using the Reference Standard Dataset as a benchmark. Conclusions Although manual delineation of the hippocampus is the best available reference standard, practical application of hippocampal volumetry will require automated methods. Our intent is to establish a mechanism for credentialing automated software applications to achieve internationally recognized accuracy and prognostic performance standards that lead to the systematic evaluation and then widespread acceptance and use of hippocampal volumetry. The standardization and assay validation process outlined for hippocampal volumetry is envisioned as a template that could be applied to other imaging biomarkers. PMID:21784356

  17. Impact of clinical context on acute kidney injury biomarker performances: differences between neutrophil gelatinase-associated lipocalin and L-type fatty acid-binding protein.

    Science.gov (United States)

    Asada, Toshifumi; Isshiki, Rei; Hayase, Naoki; Sumida, Maki; Inokuchi, Ryota; Noiri, Eisei; Nangaku, Masaomi; Yahagi, Naoki; Doi, Kent

    2016-01-01

    Application of acute kidney injury (AKI) biomarkers with consideration of nonrenal conditions and systemic severity has not been sufficiently determined. Herein, urinary neutrophil gelatinase-associated lipocalin (NGAL), L-type fatty acid-binding protein (L-FABP) and nonrenal disorders, including inflammation, hypoperfusion and liver dysfunction, were evaluated in 249 critically ill patients treated at our intensive care unit. Distinct characteristics of NGAL and L-FABP were revealed using principal component analysis: NGAL showed linear correlations with inflammatory markers (white blood cell count and C-reactive protein), whereas L-FABP showed linear correlations with hypoperfusion and hepatic injury markers (lactate, liver transaminases and bilirubin). We thus developed a new algorithm by combining urinary NGAL and L-FABP with stratification by the Acute Physiology and Chronic Health Evaluation score, presence of sepsis and blood lactate levels to improve their AKI predictive performance, which showed a significantly better area under the receiver operating characteristic curve [AUC-ROC 0.940; 95% confidential interval (CI) 0.793-0.985] than that under NGAL alone (AUC-ROC 0.858, 95% CI 0.741-0.927, P = 0.03) or L-FABP alone (AUC-ROC 0.837, 95% CI 0.697-0.920, P = 0.007) and indicated that nonrenal conditions and systemic severity should be considered for improved AKI prediction by NGAL and L-FABP as biomarkers. PMID:27605390

  18. Impact of clinical context on acute kidney injury biomarker performances: differences between neutrophil gelatinase-associated lipocalin and L-type fatty acid-binding protein.

    Science.gov (United States)

    Asada, Toshifumi; Isshiki, Rei; Hayase, Naoki; Sumida, Maki; Inokuchi, Ryota; Noiri, Eisei; Nangaku, Masaomi; Yahagi, Naoki; Doi, Kent

    2016-01-01

    Application of acute kidney injury (AKI) biomarkers with consideration of nonrenal conditions and systemic severity has not been sufficiently determined. Herein, urinary neutrophil gelatinase-associated lipocalin (NGAL), L-type fatty acid-binding protein (L-FABP) and nonrenal disorders, including inflammation, hypoperfusion and liver dysfunction, were evaluated in 249 critically ill patients treated at our intensive care unit. Distinct characteristics of NGAL and L-FABP were revealed using principal component analysis: NGAL showed linear correlations with inflammatory markers (white blood cell count and C-reactive protein), whereas L-FABP showed linear correlations with hypoperfusion and hepatic injury markers (lactate, liver transaminases and bilirubin). We thus developed a new algorithm by combining urinary NGAL and L-FABP with stratification by the Acute Physiology and Chronic Health Evaluation score, presence of sepsis and blood lactate levels to improve their AKI predictive performance, which showed a significantly better area under the receiver operating characteristic curve [AUC-ROC 0.940; 95% confidential interval (CI) 0.793-0.985] than that under NGAL alone (AUC-ROC 0.858, 95% CI 0.741-0.927, P = 0.03) or L-FABP alone (AUC-ROC 0.837, 95% CI 0.697-0.920, P = 0.007) and indicated that nonrenal conditions and systemic severity should be considered for improved AKI prediction by NGAL and L-FABP as biomarkers.

  19. Parkinson’s Disease Biomarkers Program Data Management Resource (PDBP DMR)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The NINDS Parkinson’s Disease (PD) Biomarkers Program Data Management Resource enables web-based data entry for clinical studies supporting PD biomarker...

  20. Relationship between cerebrospinal fluid biomarkers for inflammation, demyelination and neurodegeneration in acute optic neuritis

    DEFF Research Database (Denmark)

    Modvig, Signe; Degn, Matilda; Horwitz, Henrik;

    2013-01-01

    Various inflammatory biomarkers show prognostic potential for multiple sclerosis (MS)-risk after clinically isolated syndromes. However, biomarkers are often examined singly and their interrelation and precise aspects of their associated pathological processes remain unclear. Clarification of the...

  1. OARSI Clinical Trials Recommendations

    DEFF Research Database (Denmark)

    Kraus, V B; Blanco, F J; Englund, M;

    2015-01-01

    The objective of this work was to describe requirements for inclusion of soluble biomarkers in osteoarthritis (OA) clinical trials and progress toward OA-related biomarker qualification. The Guidelines for Biomarkers Working Group, representing experts in the field of OA biomarker research from...... both academia and industry, convened to discuss issues related to soluble biomarkers and to make recommendations for their use in OA clinical trials based on current knowledge and anticipated benefits. This document summarizes current guidance on use of biomarkers in OA clinical trials...... and their utility at five stages, including preclinical development and phase I to phase IV trials. As demonstrated by this summary, biomarkers can provide value at all stages of therapeutics development. When resources permit, we recommend collection of biospecimens in all OA clinical trials for a wide variety...

  2. Biomarkers of manganese intoxication.

    Science.gov (United States)

    Zheng, Wei; Fu, Sherleen X; Dydak, Ulrike; Cowan, Dallas M

    2011-01-01

    Manganese (Mn), upon absorption, is primarily sequestered in tissue and intracellular compartments. For this reason, blood Mn concentration does not always accurately reflect Mn concentration in the targeted tissue, particularly in the brain. The discrepancy between Mn concentrations in tissue or intracellular components means that blood Mn is a poor biomarker of Mn exposure or toxicity under many conditions and that other biomarkers must be established. For group comparisons of active workers, blood Mn has some utility for distinguishing exposed from unexposed subjects, although the large variability in mean values renders it insensitive for discriminating one individual from the rest of the study population. Mn exposure is known to alter iron (Fe) homeostasis. The Mn/Fe ratio (MIR) in plasma or erythrocytes reflects not only steady-state concentrations of Mn or Fe in tested individuals, but also a biological response (altered Fe homeostasis) to Mn exposure. Recent human studies support the potential value for using MIR to distinguish individuals with Mn exposure. Additionally, magnetic resonance imaging (MRI), in combination with noninvasive assessment of γ-aminobutyric acid (GABA) by magnetic resonance spectroscopy (MRS), provides convincing evidence of Mn exposure, even without clinical symptoms of Mn intoxication. For subjects with long-term, low-dose Mn exposure or for those exposed in the past but not the present, neither blood Mn nor MRI provides a confident distinction for Mn exposure or intoxication. While plasma or erythrocyte MIR is more likely a sensitive measure, the cut-off values for MIR among the general population need to be further tested and established. Considering the large accumulation of Mn in bone, developing an X-ray fluorescence spectroscopy or neutron-based spectroscopy method may create yet another novel non-invasive tool for assessing Mn exposure and toxicity. PMID:20946915

  3. Transcriptional analysis of an E2F gene signature as a biomarker of activity of the cyclin-dependent kinase inhibitor PHA-793887 in tumor and skin biopsies from a phase I clinical study.

    Science.gov (United States)

    Locatelli, Giuseppe; Bosotti, Roberta; Ciomei, Marina; Brasca, Maria G; Calogero, Raffaele; Mercurio, Ciro; Fiorentini, Francesco; Bertolotti, Matteo; Scacheri, Emanuela; Scaburri, Angela; Galvani, Arturo; Pesenti, Enrico; De Baere, Thierry; Soria, Jean-Charles; Lazar, Vladimir; Isacchi, Antonella

    2010-05-01

    A transcriptional signature of the pan-cyclin-dependent kinase (Cdk) inhibitor PHA-793887 was evaluated as a potential pharmacodynamic and/or response biomarker in tumor and skin biopsies from patients treated in a phase I clinical study. We first analyzed the expression of a number of known E2F-dependent genes that were predicted to be modulated after Cdk2 and Cdk4 inhibition in xenograft tumor and skin samples of mice treated with the compound. This panel of 58 selected genes was then analyzed in biopsies from seven patients treated with PHA-793887 in a phase I dose escalation clinical trial in solid tumors. Quantitative real-time PCR or microarray analyses were done in paired skin and tumor biopsies obtained at baseline and at cycle 1. Analysis by quantitative real-time PCR of the signature in skin biopsies of patients treated at three different doses showed significant transcriptional downregulation with a dose-response correlation. These data show that PHA-793887 modulates genes involved in cell cycle regulation and proliferation in a clinical setting. The observed changes are consistent with its mechanism of action and correlate with target modulation in skin and with clinical benefit in tumors. PMID:20423997

  4. Potential Blood-based Biomarkers for Concussion.

    Science.gov (United States)

    Papa, Linda

    2016-09-01

    Mounting research in the field of sports concussion biomarkers has led to a greater understanding of the effects of brain injury from sports. A recent systematic review of clinical studies examining biomarkers of brain injury following sports-related concussion established that almost all studies have been published either in or after the year 2000. In an effort to prevent chronic traumatic encephalopathy and long-term consequences of concussion, early diagnostic and prognostic tools are becoming increasingly important; particularly in sports and in military personnel, where concussions are common occurrences. Early and tailored management of athletes following a concussion with biomarkers could provide them with the best opportunity to avoid further injury. Should blood-based biomarkers for concussion be validated and become widely available, they could have many roles. For instance, a point-of-care test could be used on the field by trained sport medicine professionals to help detect a concussion. In the clinic or hospital setting, it could be used by clinicians to determine the severity of concussion and be used to screen players for neuroimaging (computed tomography and/or magnetic resonance imaging) and further neuropsychological testing. Furthermore, biomarkers could have a role in monitoring progression of injury and recovery and in managing patients at high risk of repeated injury by being incorporated into guidelines for return to duty, work, or sports activities. There may even be a role for biomarkers as surrogate measures of efficacy in the assessment of new treatments and therapies for concussion. PMID:27482776

  5. Biomarker Discovery by Novel Sensors Based on Nanoproteomics Approaches

    Directory of Open Access Journals (Sweden)

    Manuel Fuentes

    2012-02-01

    Full Text Available During the last years, proteomics has facilitated biomarker discovery by coupling high-throughput techniques with novel nanosensors. In the present review, we focus on the study of label-based and label-free detection systems, as well as nanotechnology approaches, indicating their advantages and applications in biomarker discovery. In addition, several disease biomarkers are shown in order to display the clinical importance of the improvement of sensitivity and selectivity by using nanoproteomics approaches as novel sensors.

  6. Chronic Obstructive Pulmonary Disease Biomarkers

    Directory of Open Access Journals (Sweden)

    Tatsiana Beiko

    2016-04-01

    Full Text Available Despite significant decreases in morbidity and mortality of cardiovascular diseases (CVD and cancers, morbidity and cost associated with chronic obstructive pulmonary disease (COPD continue to be increasing. Failure to improve disease outcomes has been related to the paucity of interventions improving survival. Insidious onset and slow progression halter research successes in developing disease-modifying therapies. In part, the difficulty in finding new therapies is because of the extreme heterogeneity within recognized COPD phenotypes. Novel biomarkers are necessary to help understand the natural history and pathogenesis of the different COPD subtypes. A more accurate phenotyping and the ability to assess the therapeutic response to new interventions and pharmaceutical agents may improve the statistical power of longitudinal clinical studies. In this study, we will review known candidate biomarkers for COPD, proposed pathways of pathogenesis, and future directions in the field.

  7. Is magnetic resonance imaging a plausible biomarker for upper motor neuron degeneration in amyotrophic lateral sclerosis/primary lateral sclerosis or merely a useful paraclinical tool to exclude mimic syndromes? A critical review of imaging applicability in clinical routine

    Directory of Open Access Journals (Sweden)

    Antonio José da Rocha

    2012-07-01

    Full Text Available Amyotrophic lateral sclerosis (ALS is a fatal neurodegenerative disease that affects motor neurons in the cerebral cortex, brainstem, and spinal cord, brain regions in which conventional magnetic resonance imaging is often uninformative. Although the mean time from symptom onset to diagnosis is estimated to be about one year, the current criteria only prescribe magnetic resonance imaging to exclude "ALS mimic syndromes". Extensive application of non-conventional magnetic resonance imaging (MRI to the study of ALS has improved our understanding of the in vivo pathological mechanisms involved in the disease. These modern imaging techniques have recently been added to the list of potential ALS biomarkers to aid in both diagnosis and monitoring of disease progression. This article provides a comprehensive review of the clinical applicability of the neuroimaging progress that has been made over the past two decades towards establishing suitable diagnostic tools for upper motor neuron (UMN degeneration in ALS.

  8. Serial and panel analyses of biomarkers do not improve the prediction of bacteremia compared to one procalcitonin measurement

    NARCIS (Netherlands)

    Tromp, M.; Lansdorp, B.; Bleeker-Rovers, C.P.; Klein Gunnewiek, J.M.; Kullberg, B.J.; Pickkers, P.

    2012-01-01

    Objectives We evaluated the value of a single biomarker, biomarker panels, biomarkers combined with clinical signs of sepsis, and serial determinations of biomarkers in the prediction of bacteremia in patients with sepsis. Methods Adult patients visiting the emergency department because of a susp

  9. Serial and panel analyses of biomarkers do not improve the prediction of bacteremia compared to one procalcitonin measurement.

    NARCIS (Netherlands)

    Tromp, M.; Lansdorp, B.; Bleeker-Rovers, C.P.; Gunnewiek, J.M.; Kullberg, B.J.; Pickkers, P.

    2012-01-01

    OBJECTIVES: We evaluated the value of a single biomarker, biomarker panels, biomarkers combined with clinical signs of sepsis, and serial determinations of biomarkers in the prediction of bacteremia in patients with sepsis. METHODS: Adult patients visiting the emergency department because of a suspe

  10. Early biomarkers of joint damage in rheumatoid and psoriatic arthritis.

    LENUS (Irish Health Repository)

    Mc Ardle, Angela

    2015-01-01

    Joint destruction, as evidenced by radiographic findings, is a significant problem for patients suffering from rheumatoid arthritis and psoriatic arthritis. Inherently irreversible and frequently progressive, the process of joint damage begins at and even before the clinical onset of disease. However, rheumatoid and psoriatic arthropathies are heterogeneous in nature and not all patients progress to joint damage. It is therefore important to identify patients susceptible to joint destruction in order to initiate more aggressive treatment as soon as possible and thereby potentially prevent irreversible joint damage. At the same time, the high cost and potential side effects associated with aggressive treatment mean it is also important not to over treat patients and especially those who, even if left untreated, would not progress to joint destruction. It is therefore clear that a protein biomarker signature that could predict joint damage at an early stage would support more informed clinical decisions on the most appropriate treatment regimens for individual patients. Although many candidate biomarkers for rheumatoid and psoriatic arthritis have been reported in the literature, relatively few have reached clinical use and as a consequence the number of prognostic biomarkers used in rheumatology has remained relatively static for several years. It has become evident that a significant challenge in the transition of biomarker candidates to clinical diagnostic assays lies in the development of suitably robust biomarker assays, especially multiplexed assays, and their clinical validation in appropriate patient sample cohorts. Recent developments in mass spectrometry-based targeted quantitative protein measurements have transformed our ability to rapidly develop multiplexed protein biomarker assays. These advances are likely to have a significant impact on the validation of biomarkers in the future. In this review, we have comprehensively compiled a list of candidate

  11. Biomarkers and Personalized Therapy in Lower Functional Gastrointestinal Disorders

    Science.gov (United States)

    Camilleri, Michael

    2015-01-01

    SUMMARY Background Treatment of IBS and lower functional gastrointestinal disorders is still based predominantly on symptoms; biomarkers that reflect the mechanism or pathophysiology have been identified. Given the diverse mechanisms that result in the same clinical phenotype of IBS, it is hypothesized that identification of biomarkers may lead to individualization of medical therapy. Aim To review the biomarkers that have been appraised in IBS. Methods A single author reviewed the published literature on biomarkers appraised in IBS. Results The current literature suggests that these biomarkers are insufficiently sensitive or specific to differentiate IBS from health or from other diseases causing similar symptoms, such as celiac disease or inflammatory bowel disease. Most of the proposed biomarkers are not actionable, that is, they do not lead to an efficacious therapy based on the biological inference of the biomarker itself. However, among proposed biomarkers in IBS, some are actionable, as they specifically reflect a quantitative difference in a mediator of dysfunction or result in a quantifiable disturbance of function that can be specifically treated. Such biomarkers may potentially identify relevant subgroups that respond to specific therapy. The most promising actionable biomarkers are measurement of colonic transit (leading to treatments that reverse the abnormal transit) and measurements of bile acid diarrhea to identify responders to bile acid sequestrants. Conclusions Therefore, although biomarkers are not ready for prime time as diagnostic tests in IBS, some biomarkers could identify subgroups of patients with IBS for inclusion in clinical trials that target specific dysfunctions. Such an approach may enhance treatment efficacy, and may ultimately help reduce costs in drug development and in the management of patients in clinical practice. PMID:26264216

  12. Tumor antigens as proteogenomic biomarkers in invasive ductal carcinomas

    DEFF Research Database (Denmark)

    Olsen, Lars Rønn; Campos, Benito; Winther, Ole;

    2014-01-01

    Background: The majority of genetic biomarkers for human cancers are defined by statistical screening of high-throughput genomics data. While a large number of genetic biomarkers have been proposed for diagnostic and prognostic applications, only a small number have been applied in the clinic. Si...

  13. Respiratory Toxicity Biomarkers

    Science.gov (United States)

    The advancement in high throughput genomic, proteomic and metabolomic techniques have accelerated pace of lung biomarker discovery. A recent growth in the discovery of new lung toxicity/disease biomarkers have led to significant advances in our understanding of pathological proce...

  14. Neuroimmune biomarkers in schizophrenia.

    Science.gov (United States)

    Tomasik, Jakub; Rahmoune, Hassan; Guest, Paul C; Bahn, Sabine

    2016-09-01

    Schizophrenia is a heterogeneous psychiatric disorder with a broad spectrum of clinical and biological manifestations. Due to the lack of objective tests, the accurate diagnosis and selection of effective treatments for schizophrenia remains challenging. Numerous technologies have been employed in search of schizophrenia biomarkers. These studies have suggested that neuroinflammatory processes may play a role in schizophrenia pathogenesis, at least in a subgroup of patients. The evidence indicates alterations in both pro- and anti-inflammatory molecules in the central nervous system, which have also been found in peripheral tissues and may correlate with schizophrenia symptoms. In line with these findings, certain immunomodulatory interventions have shown beneficial effects on psychotic symptoms in schizophrenia patients, in particular those with distinct immune signatures. In this review, we evaluate these findings and their potential for more targeted drug interventions and the development of companion diagnostics. Although currently no validated markers exist for schizophrenia patient stratification or the prediction of treatment efficacy, we propose that utilisation of inflammatory markers for diagnostic and theranostic purposes may lead to novel therapeutic approaches and deliver more effective care for schizophrenia patients. PMID:25124519

  15. [Biomarkers in inflammatory bowel diseases].

    Science.gov (United States)

    Roblin, Xavier; Cavaille, Alaric; Clavel, Léa; Paul, Stéphane

    2014-01-01

    Fecal calprotectine is of interest for diagnosis of IBD at the beginning. CRP and fecal calprotectine are predictive of long-term response in patients treated by anti-TNF therapy. Trough levels of anti-TNF are associated to clinical remission and mucosal healing. Detectable antibodies to anti-TNF are associated with lower response to treatment. Interventional studies are waiting before optimization of treatment in function of biomarkers. Trough levels of anti-TNF help to modify our treatment (optimization or de-escalation). PMID:24373717

  16. Biomarkers for wound healing and their evaluation.

    Science.gov (United States)

    Patel, S; Maheshwari, A; Chandra, A

    2016-01-01

    A biological marker (biomarker) is a substance used as an indicator of biological state. Advances in genomics, proteomics and molecular pathology have generated many candidate biomarkers with potential clinical value. Research has identified several cellular events and mediators associated with wound healing that can serve as biomarkers. Macrophages, neutrophils, fibroblasts and platelets release cytokines molecules including TNF-α, interleukins (ILs) and growth factors, of which platelet-derived growth factor (PDGF) holds the greatest importance. As a result, various white cells and connective tissue cells release both matrix metalloproteinases (MMPs) and the tissue inhibitors of metalloproteinases (TIMPs). Studies have demonstrated that IL-1, IL-6, and MMPs, levels above normal, and an abnormally high MMP/TIMP ratio are often present in non-healing wounds. Clinical examination of wounds for these mediators could predict which wounds will heal and which will not, suggesting use of these chemicals as biomarkers of wound healing. There is also evidence that the application of growth factors like PDGF will alleviate the recuperating process of chronic, non-healing wounds. Finding a specific biomarker for wound healing status would be a breakthrough in this field and helping treat impaired wound healing.

  17. Biomarkers in the Management of Difficult Asthma.

    Science.gov (United States)

    Schleich, Florence; Sophie, Demarche; Renaud, Louis

    2016-01-01

    Difficult asthma is a heterogeneous disease of the airways including various types of bronchial inflammation and various degrees of airway remodeling. Therapeutic response of severe asthmatics can be predicted by the use of biomarkers of Type2-high or Type2-low inflammation. Based on sputum cell analysis, four inflammatory phenotypes have been described. As induced sputum is timeconsuming and expensive technique, surrogate biomarkers are useful in clinical practice. Eosinophilic phenotype is likely to reflect ongoing adaptive immunity in response to allergen. Several biomarkers of eosinophilic asthma are easily available in clinical practice (blood eosinophils, serum IgE, exhaled nitric oxyde, serum periostin). Neutrophilic asthma is thought to reflect innate immune system activation in response to pollutants or infectious agents while paucigranulocytic asthma is thought to be not inflammatory and characterized by smooth muscle dysfunction. We currently lack of user-friendly biomarkers of neutrophilic asthma and airway remodeling. In this review, we summarize the biomarkers available for the management of difficult asthma. PMID:26467509

  18. The Validation Study of Neurofilament Heavy Chain and 8-hydroxy-2'-deoxyguanosine as Plasma Biomarkers of Clinical/Paraclinical Activity in First and Relapsing-Remitting Demyelination Acute Attacks.

    Science.gov (United States)

    Ljubisavljevic, S; Stojanovic, I; Basic, J; Pavlovic, D A

    2016-10-01

    Although current evidence mainly suggests immunopathogenesis of demyelination and neurodegeneration in multiple sclerosis (MS), there are results which document the importance of other factors, such as oxidative stress and its mediated injuries. The oxidative stress intensity in axonal damage during acute demyelination is little known. We performed this study as a cross-sectional biomarker validation study in order to evaluate the parameters of axonal damage (phosphorylated neurofilaments heavy chain (pNF-H)) and oxidative stress (8-hydroxy-2'-deoxyguanosine (8-OHdG)) in plasma of patients with initial and relapsing-remitting demyelination attacks, defined as clinically isolated syndrome (CIS) and relapsing-remitting multiple sclerosis (RRMS); and the correlations between these parameters and biological (index of blood brain barrier (BBB) permeability), clinical (index of disease progression), and radiological (T1-Gd-enhancing lesion volume) activities of disease. Both parameters were increased in CIS and RRMS compared to control subjects (p  0.50; p  0.30; p < 0.05). There was a significant correlation between values of 8-OHdG and pNF-H only in CIS group, r = 0.52, p < 0.05. While the plasma values of 8-OHdG reflect the degree of acute demyelination in CIS, pNF-H values reflect that in RRMS. The obtained results must be reevaluated in similar prospective studies related to their prognostic values. PMID:27295058

  19. Improving Biomarker Development and Assessment: Standards for Study Design

    Institute of Scientific and Technical Information of China (English)

    Ziding FENG

    2009-01-01

    Background: The Early Detection Research Network (EDRN), NCI funded and investigator driven, has the mission to evaluate biomarkers for their clinical utilities in cancer risk prediction, diagnosis, early detection, and prognosis. Abundant cancer biomarkers reported in literature yet few are used in clinics. Therefore, the emphasis of the EDRN is biomarker validation. Although schema for a phased approach to development exists and guidelines are available for study reporting, a coherent and comprehensive set of guideline for a definitive biomarker validation study design have not been delineated.Methods: We proposed PROBE study design, Prospective specimen collec-tion and Retrospective Blinded Evaluation, for pivotal definitive evaluation of the accuracy of a classification biomarker. A detailed formulation of all aspects of the design is provided. Four tables itemize aspects that relate to (i) the Clinical Context; (ii) Performance Criteria; (iii) the Biomarker test; and (iv) Study power and termination. Alternative designs and strategies were contrasted to illustrate the merit of PROBE design.Results: The ideas are applied to studies of biomarkers the intended use of which is for disease diagnosis, screening, or prognosis. Two EDRN valida-tion studies (breast cancer and prostate cancer) were used as examples to elucidate PROBE design.Conclusion: Common biases that pervade the biomarker research literaturewould be eliminated if these rigorous standards were followed closely. We urge the adoption of the design as standard of practice for pivotal evaluation of the classification accuracy ofbiomarkers.

  20. Metabolic products as biomarkers

    Science.gov (United States)

    Melancon, M.J.; Alscher, R.; Benson, W.; Kruzynski, G.; Lee, R.F.; Sikka, H.C.; Spies, R.B.; Huggett, Robert J.; Kimerle, Richard A.; Mehrle, Paul M.=; Bergman, Harold L.

    1992-01-01

    Ideally, endogenous biomarkers would indicate both exposure and environmental effects of toxic chemicals; however, such comprehensive biochemical and physiological indices are currently being developed and, at the present time, are unavailable for use in environmental monitoring programs. Continued work is required to validate the use of biochemical and physiological stress indices as useful components of monitoring programs. Of the compounds discussed only phytochelatins and porphyrins are currently in biomarkers in a useful state; however, glutathione,metallothioneins, stress ethylene, and polyamines are promising as biomarkers in environmental monitoring.

  1. Biomarkers in Severe Asthma.

    Science.gov (United States)

    Wan, Xiao Chloe; Woodruff, Prescott G

    2016-08-01

    Biomarkers have been critical for studies of disease pathogenesis and the development of new therapies in severe asthma. In particular, biomarkers of type 2 inflammation have proven valuable for endotyping and targeting new biological agents. Because of these successes in understanding and marking type 2 inflammation, lack of knowledge regarding non-type 2 inflammatory mechanisms in asthma will soon be the major obstacle to the development of new treatments and management strategies in severe asthma. Biomarkers can play a role in these investigations as well by providing insight into the underlying biology in human studies of patients with severe asthma. PMID:27401625

  2. Renal Cancer Biomarkers | NCI Technology Transfer Center | TTC

    Science.gov (United States)

    The National Cancer Institute's Laboratory of Proteomics and Analytical Technologies is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate, or commercialize diagnostic, therapeutic and prognostic cancer biomarkers from clinical specimens.

  3. Neopterin and procalcitonin are suitable biomarkers for exclusion of severe Plasmodium falciparum disease at the initial clinical assessment of travellers with imported malaria

    NARCIS (Netherlands)

    R. te Witt (René); M.E. van Wolfswinkel (Marlies); P.L. Petit (Pieter); J.J. van Hellemond (Jaap); R. Koelewijn (Rob); A.F. van Belkum (Alex); P.J.J. van Genderen (Perry)

    2010-01-01

    textabstractBackground. Most clinicians in developed, non-malaria endemic countries have limited or no experience in making clinical assessments of malaria disease severity and subsequent decisions regarding the need for parenteral therapy or high-level monitoring in febrile patients with imported m

  4. Biomarker time out.

    Science.gov (United States)

    Petzold, Axel; Bowser, Robert; Calabresi, Paolo; Zetterberg, Henrik; Uitdehaag, Bernard M J

    2014-10-01

    The advancement of knowledge relies on scientific investigations. The timing between asking a question and data collection defines if a study is prospective or retrospective. Prospective studies look forward from a point in time, are less prone to bias and are considered superior to retrospective studies. This conceptual framework conflicts with the nature of biomarker research. New candidate biomarkers are discovered in a retrospective manner. There are neither resources nor time for prospective testing in all cases. Relevant sources for bias are not covered. Ethical questions arise through the time penalty of an overly dogmatic concept. The timing of sample collection can be separated from testing biomarkers. Therefore the moment of formulating a hypothesis may be after sample collection was completed. A conceptual framework permissive to asking research questions without the obligation to bow to the human concept of calendar time would simplify biomarker research, but will require new safeguards against bias.

  5. MicroRNA biomarkers in glioblastoma

    DEFF Research Database (Denmark)

    Hermansen, Simon Kjær; Kristensen, Bjarne Winther

    2013-01-01

    Recent research suggests that deregulation of microRNAs (miRNAs) is involved in initiation and progression of many cancers, including gliomas and that miRNAs hold great potential as future diagnostic and therapeutic tools in cancer. MiRNAs are a class of short non-coding RNA sequences (18...... tissues. Understanding these alterations is key to developing new biomarkers and intelligent treatment strategies. This review presents an overview of current knowledge about miRNA alterations in glioblastoma while focusing on the clinical future of miRNAs as biomarkers and discussing the strengths...

  6. Biomarkers for immune thrombocytopenia

    OpenAIRE

    Yu, Lingjia; Zhang, Chunmei; Zhang, Liping; Shi, Yongyu; Ji, Xuebin

    2015-01-01

    Immune thrombocytopenia is an autoimmune disease with abnormal biomarkers. Immune thrombocytopenia pathogenesis is a complicated process in which the patient’s immune system is activated by platelet autoantigens resulting in immune mediated platelet destruction or suppression of platelet production. The autoantibodies produced by autoreactive B cells against self antigens are considered to play a crucial role. In addition, biomarkers such as transforming growth factor-beta1,Toll-like receptor...

  7. Brown Recluse spider bite mediated hemolysis: clinical features, a possible role for complement inhibitor therapy, and reduced RBC surface glycophorin A as a potential biomarker of venom exposure.

    Directory of Open Access Journals (Sweden)

    Eric A Gehrie

    Full Text Available BACKGROUND: The venom of Loxosceles reclusa (Brown Recluse spider can cause a severe, life-threatening hemolysis in humans for which no therapy is currently available in the USA beyond supportive measures. Because this hemolysis is uncommon, relatively little is known about its clinical manifestation, diagnosis, or management. Here, we aimed to clarify the clinical details of envenomation, to determine the efficacy of the complement inhibitor eculizumab to prevent the hemolysis in vitro, and to investigate markers of exposure to Brown Recluse venom. STUDY DESIGN AND METHODS: We performed a 10-year chart review of cases of Brown Recluse spider bite-mediated hemolysis at our institution. We also designed an in vitro assay to test the efficacy of eculizumab to inhibit hemolysis of venom exposed red blood cells. Finally, we compared levels of CD55, CD59 and glycophorin A on venom exposed versus venom-naïve cells. RESULTS: Most victims of severe Brown Recluse spider mediated hemolysis at our institution are children and follow an unpredictable clinical course. Brown Recluse spider bite mediated hemolysis is reduced by 79.2% (SD=18.8% by eculizumab in vitro. Erythrocyte glycophorin A, but not CD55 or CD59, is reduced after red blood cells are incubated with venom in vitro. CONCLUSION: Taken together, our laboratory data and clinical observations indicate that L. reclusa venom exposure results in non-specific antibody and complement fixation on red blood cells, resulting in complement mediated hemolysis that is curtailed by the complement inhibitor eculizumab in vitro. Glycophorin A measurement by flow cytometry may help to identify victims of L. reclusa envenomation.

  8. Clinical Applications of Procalcitonin in Pediatrics: An Advanced Biomarker for Inflammation and Infection—Can It Also Be Used in Trauma?

    OpenAIRE

    Koutroulis, Ioannis; Loscalzo, Steven M.; Kratimenos, Panagiotis; Singh, Sabina; Weiner, Evan; Syriopoulou, Vassiliki; Theocharis, Stamatios; Chrousos, Georgios

    2014-01-01

    Background. Procalcitonin is a small molecular peptide that has gained increased support as an adjunct diagnostic marker of infection in the adult population; the concordant body of evidence for the use of procalcitonin in pediatric populations is far less complete. Objectives. Our objective is to review the current evidence supporting the utilization of procalcitonin in children in a variety of clinical scenarios including SIRS, sepsis, burns, and trauma and to identify existing knowledge ga...

  9. Functional MRI and CT biomarkers in oncology

    Energy Technology Data Exchange (ETDEWEB)

    Winfield, J.M. [Institute of Cancer Research and Royal Marsden NHS Foundation Trust, CRUK Imaging Centre at the Institute of Cancer Research, Sutton (United Kingdom); Institute of Cancer Research and Royal Marsden Hospital, MRI Unit, Sutton (United Kingdom); Payne, G.S.; DeSouza, N.M. [Institute of Cancer Research and Royal Marsden NHS Foundation Trust, CRUK Imaging Centre at the Institute of Cancer Research, Sutton (United Kingdom)

    2015-04-01

    Imaging biomarkers derived from MRI or CT describe functional properties of tumours and normal tissues. They are finding increasing numbers of applications in diagnosis, monitoring of response to treatment and assessment of progression or recurrence. Imaging biomarkers also provide scope for assessment of heterogeneity within and between lesions. A wide variety of functional parameters have been investigated for use as biomarkers in oncology. Some imaging techniques are used routinely in clinical applications while others are currently restricted to clinical trials or preclinical studies. Apparent diffusion coefficient, magnetization transfer ratio and native T{sub 1} relaxation time provide information about structure and organization of tissues. Vascular properties may be described using parameters derived from dynamic contrast-enhanced MRI, dynamic contrast-enhanced CT, transverse relaxation rate (R{sub 2}*), vessel size index and relative blood volume, while magnetic resonance spectroscopy may be used to probe the metabolic profile of tumours. This review describes the mechanisms of contrast underpinning each technique and the technical requirements for robust and reproducible imaging. The current status of each biomarker is described in terms of its validation, qualification and clinical applications, followed by a discussion of the current limitations and future perspectives. (orig.)

  10. Biomarkers in Pediatric ARDS: Future Directions

    Directory of Open Access Journals (Sweden)

    Benjamin E Orwoll

    2016-06-01

    Full Text Available Acute respiratory distress syndrome (ARDS is common among mechanically ventilated children, and accompanies up to 30% of all PICU deaths. Though ARDS diagnosis is based on clinical criteria, biological markers of acute lung damage have been extensively studied in adults and children. Biomarkers of inflammation, alveolar epithelial and capillary endothelial disruption, disordered coagulation, and associated derangements measured in the circulation and other body fluids such as brochoalveolar lavage have improved our understanding of pathobiology of ARDS. The biochemical signature of ARDS has been increasingly well described in adult populations, and this has led to the identification of molecular phenotypes to augment clinical classifications. However, there is a paucity of data from pediatric ARDS patients. Biomarkers and molecular phenotypes have the potential to identify patients at high risk of poor outcomes, and perhaps inform the development of targeted therapies for specific groups of patients. Additionally, because of the lower incidence of and mortality from ARDS in pediatric patients relative to adults and lack of robust clinical predictors of outcome, there is an ongoing interest in biological markers as surrogate outcome measures. The recent definition of pediatric ARDS (pARDS provides additional impetus for measurement of established and novel biomarkers in future pediatric studies in order to further characterize this disease process. This chapter will review the currently available literature and discuss potential future directions for investigation into biomarkers in ARDS among children.

  11. New serological biomarkers of inflammatory bowel disease.

    Science.gov (United States)

    Li, Xuhang; Conklin, Laurie; Alex, Philip

    2008-09-01

    clinically useful novel diagnostic algorithms by incorporating new technologies in serological biomarker profiling and integrating multiple biomarkers with bioinformatics analysis/modeling are also discussed.

  12. CTnI心肌标志物的临床应用及评估%Clinical application and evaluation of cardiac biomarker CTnI

    Institute of Scientific and Technical Information of China (English)

    吴金锁; 王广结

    2012-01-01

    目的 了解心肌肌钙蛋白Ⅰ(CTnI)测定对不同类型病变冠心病(CHO)的诊断价值.方法 采用免疫荧光分析法,检测54例各种类型CAO患者[包括急性心肌梗死(AMI,23例)、不稳定性心绞痛(UAP,13例)、稳定性心绞痛(SAP,18例)]的CTnI含量,并进行综合分析.结果 各类型CAO的CTnI含量均有不同程度的增高,AMI、UAP和SAP的阳性率分别为95.7%、69.2%和5.6%.除SAP与对照组比较,差异无统计学意义(P>0.05)外,AMI和UAP与对照组比较,差异均有统计学意义(P<0.05).结论 CTnI是灵敏、特异的心脏心肌标志物,可用于诊断早期AMI、UAP和急性冠状动脉综合征(ACS)患者的危险分层、预后、预测;CTnI浓度增高与冠心病(CHO)多种危险因素有关,CTnI检测是反映冠状动脉粥样硬化病变心肌损伤、坏死的主要指标,对预测和诊断CHO各类型病变动态变化及心血管事件具有重要的应用价值.%[ Objective] To study the diagnostic value of cardiac troponin I (CTnl) determination on different types of coronary heart diseases. [Methods]By suing the fluorescent immunoassay, CTnl content was detected in 54 patients with different types of coronary heart diseases, including 23 cases of acute myocardial infarction (AMI] , 13 cases of unstable angina pectoris (UAP) and 18 cases of stable angina pectoris (SAP) , and the results were analyzed synthetically. [Results] CTnl contents in patients with different types of coronary heart diseases increased at different degrees, and the positive rate of AMI, UAP and SAP group was 95.7% and 69.2% and 5.6% , respectively. There was no significant difference between SAP group and the control group (P > 0. 05) , and the differences between AMI, UAP group and the control group were significant (P < 0.05). [ Conclusion] CTnl is a sensitive and specific cardiac biomarker, and it can be used in the risk classification, outcome and prognosis of patients with early AMI, UAP and acute coronary

  13. Using Aptamers for Cancer Biomarker Discovery

    Directory of Open Access Journals (Sweden)

    Yun Min Chang

    2013-01-01

    Full Text Available Aptamers are single-stranded synthetic DNA- or RNA-based oligonucleotides that fold into various shapes to bind to a specific target, which includes proteins, metals, and molecules. Aptamers have high affinity and high specificity that are comparable to that of antibodies. They are obtained using iterative method, called (Systematic Evolution of Ligands by Exponential Enrichment SELEX and cell-based SELEX (cell-SELEX. Aptamers can be paired with recent advances in nanotechnology, microarray, microfluidics, and other technologies for applications in clinical medicine. One particular area that aptamers can shed a light on is biomarker discovery. Biomarkers are important in diagnosis and treatment of cancer. In this paper, we will describe ways in which aptamers can be used to discover biomarkers for cancer diagnosis and therapeutics.

  14. Do We Need Biomarkers for Disc Degeneration?

    Directory of Open Access Journals (Sweden)

    Helen E. Gruber

    2006-01-01

    Full Text Available Disc degeneration plays a major role in this country's medical, social and economic structure. The life-time prevalence of low back pain, which has disc degeneration as its cause, is about 80% in the general population. It is a primary cause of disability and estimated costs related to low back disorders exceed $100 billion per year in the U.S. alone. Biomarkers are becoming increasingly important as indicators of the presence of disease, and in evaluating outcomes during clinical treatment. Cell-based biologic therapies which are currently being developed to treat disc degeneration are going to be most efficacious when applied to the early stages of disc disease. In this article we ask: 1 Whether there are existing biomarkers which could play a role in detecting early stages of disc degeneration, and 2 Highlight exciting potentials in future biomarker screening for disc degeneration.

  15. Biomarkers for sporadic Creutzfeldt-Jakob disease.

    Science.gov (United States)

    Soomro, Sanam; Mohan, Chandra

    2016-06-01

    Sporadic Creutzfeldt-Jakob disease (sCJD) is a rare but fatal type of spongiform encephalopathy with unknown cause. Unfortunately, definitive diagnosis of this disease can only be done by examination of postmortem brain tissue. Presumptive diagnosis is done through a combination of clinical manifestations, radiology results, and cerebrospinal fluid (CSF) testing for CSF 14-3-3. Even with these guidelines, premortem diagnosis of sCJD can be unreliable with high rates of misdiagnosis. This calls for more reliable biomarkers of the disease, allowing for better diagnosis as well as understanding the pathogenesis of sCJD. This review compiles potential genetic, protein, biomolecular, and imaging biomarker studies for sCJD since 2010, highlighting the promise of proteins, cytokines, and composite biomarkers for improving the diagnosis as well as understanding the pathogenesis of this mysterious ailment. PMID:27547775

  16. Rational bases for the use of the Immunoscore in routine clinical settings as a prognostic and predictive biomarker in cancer patients.

    Science.gov (United States)

    Kirilovsky, Amos; Marliot, Florence; El Sissy, Carine; Haicheur, Nacilla; Galon, Jérôme; Pagès, Franck

    2016-08-01

    The American Joint Committee on Cancer/Union Internationale Contre le Cancer (AJCC/UICC) tumor, nodes, metastasis (TNM) classification system based on tumor features is used for prognosis estimation and treatment recommendations in most cancers. However, the clinical outcome can vary significantly among patients within the same tumor stage and TNM classification does not predict response to therapy. Therefore, many efforts have been focused on the identification of new markers. Multiple tumor cell-based approaches have been proposed but very few have been translated into the clinic. The recent demonstration of the essential role of the immune system in tumor progression has allowed great advances in the understanding of this complex disease and in the design of novel therapies. The analysis of the immune infiltrate by imaging techniques in large patient cohorts highlighted the prognostic impact of the in situ immune cell infiltrate in tumors. Moreover, the characterization of the immune infiltrates (e.g. type, density, distribution within the tumor, phenotype, activation status) in patients treated with checkpoint-blockade strategies could provide information to predict the disease outcome. In colorectal cancer, we have developed a prognostic score ('Immunoscore') that takes into account the distribution of the density of both CD3(+) lymphocytes and CD8(+) cytotoxic T cells in the tumor core and the invasive margin that could outperform TNM staging. Currently, an international retrospective study is under way to validate the Immunoscore prognostic performance in patients with colon cancer. The use of Immunoscore in clinical practice could improve the patients' prognostic assessment and therapeutic management. PMID:27121213

  17. Exploring Biomarkers for Alzheimer’s Disease

    Science.gov (United States)

    Singh, Anshika Nikita

    2016-01-01

    Alzheimer’s Disease (AD) is one of the most common form of dementia occurring in elderly population worldwide. Currently Aβ42, tau and p-tau in the cerebrospinal fluid is estimated for confirmation of AD. CSF which is being used as the potent source for biomarker screening is obtained by invasive lumbar punctures. Thus, there is an urgent need of minimal invasive methods for identification of diagnostic markers for early detection of AD. Blood serum and plasma serves as an appropriate source, due to minimal discomfort to the patients, promoting frequent testing, better follow-up and better consent to clinical trials. Hence, the need of the hour demands discovery of diagnostic and prognostic patient specific signature biomarkers by using emerging technologies of mass spectrometry, microarrays and peptidomics. In this review we summarize the present scenario of AD biomarkers such as circulatory biomarkers, blood based amyloid markers, inflammatory markers and oxidative stress markers being investigated and also some of the potent biomarkers which might be able to predict early onset of Alzheimer’s and delay cognitive impairment. PMID:27630867

  18. Far Beyond the Usual Biomarkers in Breast Cancer: A Review

    Science.gov (United States)

    dos Anjos Pultz, Brunna; da Luz, Felipe Andrés Cordero; de Faria, Paulo Rogério; Oliveira, Ana Paula Lima; de Araújo, Rogério Agenor; Silva, Marcelo José Barbosa

    2014-01-01

    Research investigating biomarkers for early detection, prognosis and the prediction of treatment responses in breast cancer is rapidly expanding. However, no validated biomarker currently exists for use in routine clinical practice, and breast cancer detection and management remains dependent on invasive procedures. Histological examination remains the standard for diagnosis, whereas immunohistochemical and genetic tests are utilized for treatment decisions and prognosis determinations. Therefore, we conducted a comprehensive review of literature published in PubMed on breast cancer biomarkers between 2009 and 2013. The keywords that were used together were breast cancer, biomarkers, diagnosis, prognosis and drug response. The cited references of the manuscripts included in this review were also screened. We have comprehensively summarized the performance of several biomarkers for diagnosis, prognosis and predicted drug responses of breast cancer. Finally, we have identified 15 biomarkers that have demonstrated promise in initial studies and several miRNAs. At this point, such biomarkers must be rigorously validated in the clinical setting to be translated into clinically useful tests for the diagnosis, prognosis and prediction of drug responses of breast cancer. PMID:25057307

  19. Epikardiales Fett als Biomarker? // Epicardial Adipose Tissue as a Biomarker?

    Directory of Open Access Journals (Sweden)

    Tscharre M

    2016-01-01

    Full Text Available Epicardial adipose tissue as the “visceral” adipose tissue of the heart is arousing more and more scientific interest, as it has numerous local and systemic effects. There is no fascia separating the epicardial adipose tissue and the myocardium and they both share its blood supply via the coronary arteries, thus allowing a possible interaction. Under normal physiological conditions, epicardial adipose tissue has mainly anti-atherogenic, thermogenic and mechanical characteristics. Under pathological conditions it becomes harmful to the myocardium and the coronary arteries. Important features in the clinical setting are correlations with coronary artery disease, heart failure, atrial fibrillation and visceral adipose tissue, thus acting as a possible biomarker of cardiovascular risk. p bKurzfassung:/b Das epikardiale Fettgewebe erweckt als „viszerales“ Fettdepot des Herzens mit zahlreichen lokalen und systemischen Effekten immer mehr wissenschaftliches Interesse. Das Fehlen einer trennenden Faszie zwischen epikardialem Fettgewebe und Myokard und die gemeinsame Blutversorgung durch die Koronararterien erlauben eine potenzielle Interaktion. Unter normalen physiologischen Verhältnissen hat das epikardiale Fettgewebe hauptsächlich anti-atherogene, thermogenetische und mechanische Funktionen. Unter pathologischen Verhältnissen schädigt es das Myokard und die Koronararterien. Einen klinischen Stellenwert hat es aufgrund von Korrelationen mit koronarer Herzerkrankung, Herzinsuffizienz, Vorhofflimmern und viszeralem Fettgewebe. Dadurch könnte es als neuer Biomarker für das kardiovaskuläre Risiko dienen.

  20. Mass spectrometry for biomarker development

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Chaochao; Liu, Tao; Baker, Erin Shammel; Rodland, Karin D.; Smith, Richard D.

    2015-06-19

    Biomarkers potentially play a crucial role in early disease diagnosis, prognosis and targeted therapy. In the past decade, mass spectrometry based proteomics has become increasingly important in biomarker development due to large advances in technology and associated methods. This chapter mainly focuses on the application of broad (e.g. shotgun) proteomics in biomarker discovery and the utility of targeted proteomics in biomarker verification and validation. A range of mass spectrometry methodologies are discussed emphasizing their efficacy in the different stages in biomarker development, with a particular emphasis on blood biomarker development.

  1. Pharmacogenomics: Biomarker-Directed Therapy for Bladder Cancer.

    Science.gov (United States)

    Jones, Robert T; Felsenstein, Kenneth M; Theodorescu, Dan

    2016-02-01

    The clinical management of bladder cancer has seen little change over the last three decades and there is pressing need to identify more effective treatments for advanced disease. Low clinical use of neoadjuvant therapies stems from historical limitations in the ability to predict patients most likely to respond to combination chemotherapies. This article focuses on recent molecular and genetic studies, highlighting promising clinical trials and retrospective studies, and discusses emerging trials that use predictive biomarkers to match patients with therapies to which they are most likely to respond. The implementation of predictive genomic and molecular biomarkers will revolutionize urologic oncology and the clinical management of bladder cancer.

  2. Biomarkers of Hypoxic Ischemic Encephalopathy in Newborns

    Directory of Open Access Journals (Sweden)

    Martha V. Douglas-Escobar

    2012-11-01

    Full Text Available As neonatal intensive care has evolved, the focus has shifted from improving mortality alone to an effort to improve both mortality and morbidity. The most frequent source of neonatal brain injury occurs as a result of hypoxic-ischemic injury. Hypoxic-ischemic injury occurs in about 2 of 1,000 full-term infants and severe injured infants will have lifetime disabilities and neurodevelopmental delays. Most recently, remarkable efforts toward neuroprotection have been started with the advent of therapeutic hypothermia and a key step in the evolution of neonatal neuroprotection is the discovery of biomarkers that enable the clinician-scientist to screen infants for brain injury, monitor progression of disease, identify injured brain regions, and assess efficacy of neuroprotective clinical trials. Lastly, biomarkers offer great hope identifying when an injury occurred shedding light on the potential pathophysiology and the most effective therapy. In this article, we will review biomarkers of HIE including S100b, neuron specific enolase, umbilical cord IL-6, CK-BB, GFAP, myelin basic protein, UCHL-1, and pNF-H. We hope to contribute to the awareness, validation and clinical use of established as well as novel neonatal brain injury biomarkers.

  3. Association between high biomarker probability of Alzheimer's disease and improvement of clinical outcomes after shunt surgery in patients with idiopathic normal pressure hydrocephalus.

    Science.gov (United States)

    Kazui, Hiroaki; Kanemoto, Hideki; Yoshiyama, Kenji; Kishima, Haruhiko; Suzuki, Yukiko; Sato, Shunsuke; Suehiro, Takashi; Azuma, Shingo; Yoshimine, Toshiki; Tanaka, Toshihisa

    2016-10-15

    We examined the effect of the pathology of Alzheimer's disease (AD) on improvement of clinical symptoms after shunt surgery in patients with idiopathic normal pressure hydrocephalus (iNPH). Forty-four iNPH patients were classified into 18 patients with (iNPH/AD+) and 26 patients without (iNPH/AD-) combination with low amyloid β42 and high total tau in cerebrospinal fluid (CSF). We compared improvements after lumbo-peritoneal shunt surgery (LPS) between the two groups in Timed Up & Go Test, 10-m reciprocating walking test, Digit Symbol Substitution Test, attention test, delayed recall test, Mini-Mental State Examination, iNPH grading scale, Neuropsychiatric Inventory, Zarit Burden Interview, and other evaluations. Three months after LPS, gait, urination, overall cognition, psychomotor speed, attention, and neuropsychiatric symptoms significantly improved in both groups, but the improvement in delayed recall and reduction of caregiver burden were significantly greater in iNPH/AD- than iNPH/AD+. In addition, improvement in delayed recall score after LPS was significantly and negatively correlated with the probability of AD as judged by amyloid β42 and total tau levels in CSF. Three months after LPS, almost all of the triad symptoms decreased in iNPH patients with and without AD pathology but memory improved only in iNPH patients without AD pathology. PMID:27653897

  4. New serological biomarkers of inflammatory bowel disease

    Institute of Scientific and Technical Information of China (English)

    Xuhang Li; Laurie Conldin; Philip Alex

    2008-01-01

    Serological biomarkers in inflammatory bowel disease(IBD)are a rapidty expanding list of non-invasive tests for objective assessments of disease activity,early diagnosis,prognosis evaluation and surveillance.This review summarizes both old and new biomarkers in IBD,but focuses on the development and characterization of new serological iomarkers(identified since 2007).These include five new anti-glycan antibodies,anti-chitobioside IgA(ACCA),anti-laminaribioside IgG(ALCA),anti-manobioside IgG(AMCA),and antibodies against chemically synthesized(∑)two major oligomannose epitopes,Man α-1,3 Man α-1,2 Man(∑Man3)and Man α-1,3 Man α-1,2 Man α-1,2 Man(∑Man4).These new biomarkers erve as valuable complementary tools to existing biomarkers not only in differentiating Crohn's disease(CD),ulcerative colitis(UC),normal and other non-IBD gut diseases,but also in predicting disease involvement(ileum vs colon),IBD risk(as subclinical biomarkers),and disease course(risk of complication and surgery).Interestingly,the prevalence of he antiglycan antibodies,including anti-Saccharomyces cerevisiae antibodies(ASCA),ALCA and AMCA,was found to be associated with single nucleotide polymorphisms(SNPs)of IBD susceptible genes such as NOD2/CARDl5,NOD1/CARD4,toll-like receptors(TLR)2 and 4,and β-defensin-1.Further more,a gene dosage effect was observed:anti-glycan positivity became more requent as the number of NOD2/CARDl5 SNPS increased.Other new serum/plasma IBD biomarkers reviewed include ubiquitination factor E4A(UBE4A),CXCL16(a chemokine),resistin,and apolipoprotein A-Ⅳ.This review also discusses the most recent studies in IBD biomarker discovery by the application of new technologies such as proteomics,fourier transform near-infrared spectroscopy,and multiplex enzyme-linked immunosorbent assay(ELISA)'s(with an emphasis on cytokine/chemokine profiling).Finally,the prospects of developing more clinically useful novel diagnostic algorithms by incorporating new technologies in

  5. Biomarkers of chronic alcohol misuse

    Directory of Open Access Journals (Sweden)

    Gonzalo P

    2014-01-01

    Full Text Available Philippe Gonzalo,1 Sylvie Radenne,2 Sylvie Gonzalo31Laboratoire de Biochimie, Centre Hospitalier Universitaire de Saint-Etienne, Saint-Etienne, France; 2Service d'Hépatologie-Gastroentérologie, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France; 3Laboratoire Biomnis, Lyon, FranceAbstract: Biological markers of chronic alcoholism can be divided into two groups: direct and indirect markers. Direct markers (mainly blood or serum and urine ethanol, ethylglucuronide, ethyl sulfate, and phosphatidylethanol directly track the intake of alcohol and vary in their sensitivity and kinetics of appearance and clearance. Indirect markers (mean corpuscular volume,γ-glutamyl transferase, alanine aminotransferase and aspartate aminotransferase, and carbohydrate-deficient transferrin are biological parameters that are influenced by a steady and significant alcohol intake. We discuss the values of these tests and the relevance of their prescriptions for the clinical evaluation of heavy drinking. We indicate, when known, the pathophysiological mechanism of their elevations. We also discuss the amount and time of alcohol consumption required to give a positive result and the duration of abstinence required for the return to normal values. The forensic use of these biomarkers will not be considered in this review.Keywords: alcoholism, biomarker, CDT, relapse, alcohol-induced liver disease

  6. Biomarkers of aggression in dementia.

    Science.gov (United States)

    Gotovac, Kristina; Nikolac Perković, Matea; Pivac, Nela; Borovečki, Fran

    2016-08-01

    Dementia is a clinical syndrome defined by progressive global impairment of acquired cognitive abilities. It can be caused by a number of underlying conditions. The most common types of dementia are Alzheimer's disease (AD), frontotemporal dementia (FTD), vascular cognitive impairment (VCI) and dementia with Lewy bodies (DLB). Despite the fact that cognitive impairment is central to the dementia, noncognitive symptoms, most commonly described nowadays as neuropsychiatric symptoms (NPS) exist almost always at certain point of the illness. Aggression as one of the NPS represents danger both for patients and caregivers and the rate of aggression correlates with the loss of independence, cognitive decline and poor outcome. Therefore, biomarkers of aggression in dementia patients would be of a great importance. Studies have shown that different genetic factors, including monoamine signaling and processing, can be associated with various NPS including aggression. There have been significant and multiple neurotransmitter changes identified in the brains of patients with dementia and some of these changes have been involved in the etiology of NPS. Aggression specific changes have also been observed in neuropathological studies. The current consensus is that the best approach for development of such biomarkers may be incorporation of genetics (polymorphisms), neurobiology (neurotransmitters and neuropathology) and neuroimaging techniques. PMID:26952705

  7. Comparison of Plasma and Urine Biomarker Performance in Acute Kidney Injury

    Science.gov (United States)

    Schley, Gunnar; Köberle, Carmen; Manuilova, Ekaterina; Rutz, Sandra; Forster, Christian; Weyand, Michael; Formentini, Ivan; Kientsch-Engel, Rosemarie; Eckardt, Kai-Uwe; Willam, Carsten

    2015-01-01

    Background New renal biomarkers measured in urine promise to increase specificity for risk stratification and early diagnosis of acute kidney injury (AKI) but concomitantly may be altered by urine concentration effects and chronic renal insufficiency. This study therefore directly compared the performance of AKI biomarkers in urine and plasma. Methods This single-center, prospective cohort study included 110 unselected adults undergoing cardiac surgery with cardiopulmonary bypass between 2009 and 2010. Plasma and/or urine concentrations of creatinine, cystatin C, neutrophil gelatinase-associated lipocalin (NGAL), liver fatty acid-binding protein (L-FABP), kidney injury molecule 1 (KIM1), and albumin as well as 15 additional biomarkers in plasma and urine were measured during the perioperative period. The primary outcome was AKI defined by AKIN serum creatinine criteria within 72 hours after surgery. Results Biomarkers in plasma showed markedly better discriminative performance for preoperative risk stratification and early postoperative (within 24h after surgery) detection of AKI than urine biomarkers. Discriminative power of urine biomarkers improved when concentrations were normalized to urinary creatinine, but urine biomarkers had still lower AUC values than plasma biomarkers. Best diagnostic performance 4h after surgery had plasma NGAL (AUC 0.83), cystatin C (0.76), MIG (0.74), and L-FAPB (0.73). Combinations of multiple biomarkers did not improve their diagnostic power. Preoperative clinical scoring systems (EuroSCORE and Cleveland Clinic Foundation Score) predicted the risk for AKI (AUC 0.76 and 0.71) and were not inferior to biomarkers. Preexisting chronic kidney disease limited the diagnostic performance of both plasma and urine biomarkers. Conclusions In our cohort plasma biomarkers had higher discriminative power for risk stratification and early diagnosis of AKI than urine biomarkers. For preoperative risk stratification of AKI clinical models showed

  8. Comparison of Plasma and Urine Biomarker Performance in Acute Kidney Injury.

    Directory of Open Access Journals (Sweden)

    Gunnar Schley

    Full Text Available New renal biomarkers measured in urine promise to increase specificity for risk stratification and early diagnosis of acute kidney injury (AKI but concomitantly may be altered by urine concentration effects and chronic renal insufficiency. This study therefore directly compared the performance of AKI biomarkers in urine and plasma.This single-center, prospective cohort study included 110 unselected adults undergoing cardiac surgery with cardiopulmonary bypass between 2009 and 2010. Plasma and/or urine concentrations of creatinine, cystatin C, neutrophil gelatinase-associated lipocalin (NGAL, liver fatty acid-binding protein (L-FABP, kidney injury molecule 1 (KIM1, and albumin as well as 15 additional biomarkers in plasma and urine were measured during the perioperative period. The primary outcome was AKI defined by AKIN serum creatinine criteria within 72 hours after surgery.Biomarkers in plasma showed markedly better discriminative performance for preoperative risk stratification and early postoperative (within 24h after surgery detection of AKI than urine biomarkers. Discriminative power of urine biomarkers improved when concentrations were normalized to urinary creatinine, but urine biomarkers had still lower AUC values than plasma biomarkers. Best diagnostic performance 4h after surgery had plasma NGAL (AUC 0.83, cystatin C (0.76, MIG (0.74, and L-FAPB (0.73. Combinations of multiple biomarkers did not improve their diagnostic power. Preoperative clinical scoring systems (EuroSCORE and Cleveland Clinic Foundation Score predicted the risk for AKI (AUC 0.76 and 0.71 and were not inferior to biomarkers. Preexisting chronic kidney disease limited the diagnostic performance of both plasma and urine biomarkers.In our cohort plasma biomarkers had higher discriminative power for risk stratification and early diagnosis of AKI than urine biomarkers. For preoperative risk stratification of AKI clinical models showed similar discriminative performance

  9. Effects of high protein and balanced diets on lipid profiles and inflammation biomarkers in obese and overweight women at aerobic clubs: A randomized clinical trial

    Directory of Open Access Journals (Sweden)

    Pegah Amini

    2016-01-01

    Full Text Available Background: We studied the effects of high protein (HP and balanced diets (BDs on lipid profiles, and high-sensitive C-reactive protein (hs-CRP levels in obese and overweight women. Methods: In a parallel designed randomized controlled clinical trial, 60 healthy women with body mass index ≥25 kg/m 2 , aged 20-46 years, enrolled in an 8-week investigation at aerobic clubs. They were categorized into two groups (HP and BDs, randomly. Fasting lipid profile and hs-CRP levels were evaluated at the beginning and end of the trial. We assessed dietary intake by 3-day records and also used SPSS (version 18; SPSS Inc., Chicago, IL, USA for data analyzing. Results: Fifty-six participants completed the intervention. Concentrations of low-density lipoprotein cholesterol (P < 0.001 in BD group vs. P =0.023 in HP group and high-density lipoprotein cholesterol (P < 0.001 in BD group vs. P =0.002 in HP group increased significantly in both groups. Circulating triglycerides levels increased in both intervention grows, but the change in the HP group was not significant compared with the other group (P = 0.007 in BD group vs. P =0.099 in HP group. Whereas total cholesterol concentration decreased but not significantly so (P = 0.53 in BD group vs. P =0.73 in HP group. There were marginally significant decreases in the hs-CRP levels due to both diets (P = 0.057 in BD group vs. P =0.086 in HP group; however, there were no significant differences between the groups. Conclusions: Administration of HP and BD in overweight and obese women with regular aerobic exercise showed improvement in lipid profiles and hs-CRP levels within the groups, but there were no significant differences between groups.

  10. Biomarkers in Alzheimer’s disease

    Directory of Open Access Journals (Sweden)

    Mario eRiverol

    2011-07-01

    Full Text Available Alzheimer’s disease (AD is the most common form of dementia in the elderly, and it is characterized by progressive impairment in multiple cognitive domains of sufficient severity to interfere with individuals’ daily living activities. Historically, the diagnosis of AD has been based on the identification of a clinical syndrome, and accuracy studies of the current clinical criteria conducted in referral clinics have shown high sensitivity for AD. However, the identification of the disease is still not perfect, and there is growing evidence that the use of biomarkers will increase our ability to better indentify the underlying biology of AD, especially in its early stages. These biomarkers will improve the detection of the patients suitable for research studies and drug trials, and they will contribute to a better management of the disease in the clinical practice. In this review, we discuss the most studied biomarkers in AD: cerebrospinal fluid proteins, structural magnetic resonance imaging (MRI, functional neuroimaging techniques, and amyloid imaging.

  11. Perioperative utility of goal-directed therapy in high-risk cardiac patients undergoing coronary artery bypass grafting: “A clinical outcome and biomarker-based study”

    Science.gov (United States)

    Kapoor, Poonam Malhotra; Magoon, Rohan; Rawat, Rajinder; Mehta, Yatin

    2016-01-01

    Goal-directed therapy (GDT) encompasses guidance of intravenous (IV) fluid and vasopressor/inotropic therapy by cardiac output or similar parameters to help in early recognition and management of high-risk cardiac surgical patients. With the aim of establishing the utility of perioperative GDT using robust clinical and biochemical outcomes, we conducted the present study. This multicenter randomized controlled study included 130 patients of either sex, with European system for cardiac operative risk evaluation ≥3 undergoing coronary artery bypass grafting on cardiopulmonary bypass. The patients were randomly divided into the control and GDT group. All the participants received standardized care; arterial pressure monitored through radial artery, central venous pressure (CVP) through a triple lumen in the right internal jugular vein, electrocardiogram, oxygen saturation, temperature, urine output per hour, and frequent arterial blood gas (ABG) analysis. In addition, cardiac index (CI) monitoring using FloTrac™ and continuous central venous oxygen saturation (ScVO2) using PreSep™ were used in patients in the GDT group. Our aim was to maintain the CI at 2.5–4.2 L/min/m2, stroke volume index 30–65 ml/beat/m2, systemic vascular resistance index 1500–2500 dynes/s/cm5/m2, oxygen delivery index 450–600 ml/min/m2, continuous ScVO2 >70%, and stroke volume variation 30%, and urine output >1 ml/kg/h. The aims were achieved by altering the administration of IV fluids and doses of inotropes or vasodilators. The data of sixty patients in each group were analyzed in view of ten exclusions. The average duration of ventilation (19.89 ± 3.96 vs. 18.05 ± 4.53 h, P = 0.025), hospital stay (7.94 ± 1.64 vs. 7.17 ± 1.93 days, P = 0.025), and Intensive Care Unit (ICU) stay (3.74 ± 0.59 vs. 3.41 ± 0.75 days, P = 0.012) was significantly less in the GDT group, compared to the control group. The extra volume added and the number of inotropic dose adjustments were

  12. The role of metabolic biomarkers in drug toxicity studies.

    Science.gov (United States)

    Schnackenberg, Laura K; Beger, Richard D

    2008-01-01

    ABSTRACT Metabolic profiling is a technique that can potentially provide more sensitive and specific biomarkers of toxicity than the current clinical measures benefiting preclinical and clinical drug studies. Both nuclear magnetic resonance (NMR) and mass spectrometry (MS) platforms have been used for metabolic profiling studies of drug toxicity. Not only can both techniques provide novel biomarker(s) of toxicity but the combination of both techniques gives a broader range of metabolites evaluated. Changes in metabolic patterns can provide insight into mechanism(s) of toxicity and help to eliminate a potentially toxic new chemical entity earlier in the developmental process. Metabolic profiling offers numerous advantages in toxicological research and screening as sample collection and preparation are relatively simple. Further, sample throughput, reproducibility, and accuracy are high. The area of drug toxicity of therapeutic compounds has already been impacted by metabolic profiling studies and will continue to be impacted as new, more specific biomarker(s) are found. In order for a biomarker or pattern of biomarkers to be accepted, it must be shown that they originate from the target tissue of interest. Metabolic profiling studies are amenable to any biofluid or tissue sample making it possible to link the changes noted in urine for instance as originating from renal injury. Additionally, the ease of sample collection makes it possible to follow a single animal or subject over time in order to determine whether and when the toxicity resolves itself. This review focuses on the advantages of metabolic profiling for drug toxicity studies.

  13. Advances in the development of biomarkers for epilepsy.

    Science.gov (United States)

    Pitkänen, Asla; Löscher, Wolfgang; Vezzani, Annamaria; Becker, Albert J; Simonato, Michele; Lukasiuk, Katarzyna; Gröhn, Olli; Bankstahl, Jens P; Friedman, Alon; Aronica, Eleonora; Gorter, Jan A; Ravizza, Teresa; Sisodiya, Sanjay M; Kokaia, Merab; Beck, Heinz

    2016-07-01

    Over 50 million people worldwide have epilepsy. In nearly 30% of these cases, epilepsy remains unsatisfactorily controlled despite the availability of over 20 antiepileptic drugs. Moreover, no treatments exist to prevent the development of epilepsy in those at risk, despite an increasing understanding of the underlying molecular and cellular pathways. One of the major factors that have impeded rapid progress in these areas is the complex and multifactorial nature of epilepsy, and its heterogeneity. Therefore, the vision of developing targeted treatments for epilepsy relies upon the development of biomarkers that allow individually tailored treatment. Biomarkers for epilepsy typically fall into two broad categories: diagnostic biomarkers, which provide information on the clinical status of, and potentially the sensitivity to, specific treatments, and prognostic biomarkers, which allow prediction of future clinical features, such as the speed of progression, severity of epilepsy, development of comorbidities, or prediction of remission or cure. Prognostic biomarkers are of particular importance because they could be used to identify which patients will develop epilepsy and which might benefit from preventive treatments. Biomarker research faces several challenges; however, biomarkers could substantially improve the management of people with epilepsy and could lead to prevention in the right person at the right time, rather than just symptomatic treatment. PMID:27302363

  14. Scrutinizing the Biomarkers for the Neglected Chagas Disease: How Remarkable!

    Science.gov (United States)

    Pinho, Rosa T.; Waghabi, Mariana C.; Cardillo, Fabíola; Mengel, José; Antas, Paulo R. Z.

    2016-01-01

    Biomarkers or biosignature profiles have become accessible over time in population-based studies for Chagas disease. Thus, the identification of consistent and reliable indicators of the diagnosis and prognosis of patients with heart failure might facilitate the prioritization of therapeutic management to those with the highest chance of contracting this disease. The purpose of this paper is to review the recent state and the upcoming trends in biomarkers for human Chagas disease. As an emerging concept, we propose a classification of biomarkers based on plasmatic-, phenotype-, antigenic-, genetic-, and management-related candidates. The available data revisited here reveal the lessons learned thus far and the existing challenges that still lie ahead to enable biomarkers to be employed consistently in risk evaluation for this disease. There is a strong need for biomarker validation, particularly for biomarkers that are specific to the clinical forms of Chagas disease. The current failure to achieve the eradication of the transmission of this disease has produced determination to solve this validation issue. Finally, it would be strategic to develop a wide variety of biomarkers and to test them in both preclinical and clinical trials. PMID:27563302

  15. Blood biomarkers in the early stage of cerebral ischemia.

    Science.gov (United States)

    Maestrini, I; Ducroquet, A; Moulin, S; Leys, D; Cordonnier, C; Bordet, R

    2016-03-01

    In ischemic stroke patients, blood-based biomarkers may be applied for the diagnosis of ischemic origin and subtype, prediction of outcomes and targeted treatment in selected patients. Knowledge of the pathophysiology of cerebral ischemia has led to the evaluation of proteins, neurotransmitters, nucleic acids and lipids as potential biomarkers. The present report focuses on the role of blood-based biomarkers in the early stage of ischemic stroke-within 72h of its onset-as gleaned from studies published in English in such patients. Despite growing interest in their potential role in clinical practice, the application of biomarkers for the management of cerebral ischemia is not currently recommended by guidelines. However, there are some promising clinical biomarkers, as well as the N-methyl-d-aspartate (NMDA) peptide and NMDA-receptor (R) autoantibodies that appear to identify the ischemic nature of stroke, and the glial fibrillary acidic protein (GFAP) that might be able to discriminate between acute ischemic and hemorrhagic strokes. Moreover, genomics and proteomics allow the characterization of differences in gene expression, and protein and metabolite production, in ischemic stroke patients compared with controls and, thus, may help to identify novel markers with sufficient sensitivity and specificity. Additional studies to validate promising biomarkers and to identify novel biomarkers are needed. PMID:26988891

  16. PET Metabolic Biomarkers for Cancer

    Science.gov (United States)

    Croteau, Etienne; Renaud, Jennifer M.; Richard, Marie Anne; Ruddy, Terrence D.; Bénard, François; deKemp, Robert A.

    2016-01-01

    The body’s main fuel sources are fats, carbohydrates (glucose), proteins, and ketone bodies. It is well known that an important hallmark of cancer cells is the overconsumption of glucose. Positron emission tomography (PET) imaging using the glucose analog 18F-fluorodeoxyglucose (18F-FDG) has been a powerful cancer diagnostic tool for many decades. Apart from surgery, chemotherapy and radiotherapy represent the two main domains for cancer therapy, targeting tumor proliferation, cell division, and DNA replication—all processes that require a large amount of energy. Currently, in vivo clinical imaging of metabolism is performed almost exclusively using PET radiotracers that assess oxygen consumption and mechanisms of energy substrate consumption. This paper reviews the utility of PET imaging biomarkers for the detection of cancer proliferation, vascularization, metabolism, treatment response, and follow-up after radiation therapy, chemotherapy, and chemotherapy-related side effects.

  17. Biomarkers in canine parvovirus enteritis.

    Science.gov (United States)

    Schoeman, J P; Goddard, A; Leisewitz, A L

    2013-07-01

    Canine parvovirus (CPV) enteritis has, since its emergence in 1978, remained a common and important cause of morbidity and mortality in young dogs. The continued incidence of parvoviral enteritis is partly due to the virus' capability to evolve into more virulent and resistant variants with significant local gastrointestinal and systemic inflammatory sequelae. This paper reviews current knowledge on historical-, signalment-, and clinical factors as well as several haematological-, biochemical- and endocrine parameters that can be used as diagnostic and prognostic biomarkers in CPV enteritis. These factors include season of presentation, purebred nature, bodyweight, vomiting, leukopaenia, lymphopaenia, thrombocytopaenia, hypercoagulability, hypercortisolaemia, hypothyroxinaemia, hypoalbuminaemia, elevated C-reactive protein and tumour necrosis factor, hypocholesterolaemia and hypocitrullinaemia. Factors contributing to the manifestations of CPV infection are multiple with elements of host, pathogen, secondary infections, underlying stressors and environment affecting severity and outcome. The availability of several prognosticators has made identification of patients at high risk of death and their subsequent targeted management more rewarding.

  18. Proteomic Biomarkers of Atherosclerosis

    Directory of Open Access Journals (Sweden)

    Natacha Diaz-Prieto

    2008-01-01

    Full Text Available Biomarkers provide a powerful approach to understanding the spectrum of cardiovascular diseases. They have application in screening, diagnostic, prognostication, prediction of recurrences and monitoring of therapy. The “omics” tool are becoming very useful in the development of new biomarkers in cardiovascular diseases. Among them, proteomics is especially fitted to look for new proteins in health and disease and is playing a significant role in the development of new diagnostic tools in cardiovascular diagnosis and prognosis. This review provides an overview of progress in applying proteomics to atherosclerosis. First, we describe novel proteins identified analysing atherosclerotic plaques directly. Careful analysis of proteins within the atherosclerotic vascular tissue can provide a repertoire of proteins involved in vascular remodelling and atherogenesis. Second, we discuss recent data concerning proteins secreted by atherosclerotic plaques. The definition of the atheroma plaque secretome resides in that proteins secreted by arteries can be very good candidates of novel biomarkers. Finally we describe proteins that have been differentially expressed (versus controls by individual cells which constitute atheroma plaques (endothelial cells, vascular smooth muscle cells, macrophages and foam cells as well as by circulating cells (monocytes, platelets or novel biomarkers present in plasma.

  19. Proteomic Biomarkers of Atherosclerosis.

    Science.gov (United States)

    Vivanco, F; Padial, L R; Darde, V M; de la Cuesta, F; Alvarez-Llamas, G; Diaz-Prieto, Natacha; Barderas, M G

    2008-01-01

    SUMMARY: Biomarkers provide a powerful approach to understanding the spectrum of cardiovascular diseases. They have application in screening, diagnostic, prognostication, prediction of recurrences and monitoring of therapy. The "omics" tool are becoming very useful in the development of new biomarkers in cardiovascular diseases. Among them, proteomics is especially fitted to look for new proteins in health and disease and is playing a significant role in the development of new diagnostic tools in cardiovascular diagnosis and prognosis. This review provides an overview of progress in applying proteomics to atherosclerosis. First, we describe novel proteins identified analysing atherosclerotic plaques directly. Careful analysis of proteins within the atherosclerotic vascular tissue can provide a repertoire of proteins involved in vascular remodelling and atherogenesis. Second, we discuss recent data concerning proteins secreted by atherosclerotic plaques. The definition of the atheroma plaque secretome resides in that proteins secreted by arteries can be very good candidates of novel biomarkers. Finally we describe proteins that have been differentially expressed (versus controls) by individual cells which constitute atheroma plaques (endothelial cells, vascular smooth muscle cells, macrophages and foam cells) as well as by circulating cells (monocytes, platelets) or novel biomarkers present in plasma. PMID:19578499

  20. IL-8 and cathepsin B as melanoma serum biomarkers.

    Science.gov (United States)

    Zhang, Hongtao; Fu, Ting; McGettigan, Suzanne; Kumar, Suresh; Liu, Shujing; Speicher, David; Schuchter, Lynn; Xu, Xiaowei

    2011-01-01

    Melanoma accounts for only a small portion of skin cancer but it is associated with high mortality. Melanoma serum biomarkers that may aid early diagnosis or guide therapy are needed clinically. However, studies of serum biomarkers have often been hampered by the serum interference that causes false readouts in immunological tests. Here we show that, after using a special buffer to eliminate the serum interference, IL-8 and cathepsin B levels were significantly elevated in melanoma patients (p < 0.05). More importantly, the combination of IL-8 and cathepsin B were also studied as a prognosis marker for melanoma mortality. Our study provides a novel approach to examine serum biomarkers. PMID:21673904

  1. The ongoing quest for biomarkers in Ankylosing Spondylitis.

    Science.gov (United States)

    Danve, Abhijeet; O'Dell, James

    2015-11-01

    Ankylosing Spondylitis poses significant challenges in terms of early diagnosis, assessment of disease activity, predicting response to the treatment and monitoring radiographic progression. With better understanding of underlying immunopathogenesis, effective targeted therapies are available which improve symptoms, quality of life and possibly slow the radiographic progression. There has been a growing interest in the discovery of biomarkers for defining various aspects of disease assessment and management in Ankylosing Spondylitis. The C-reactive protein and HLA-B27 are most commonly used biomarkers. This review describes many other newer biomarkers which have potential clinical applications in this chronic inflammatory disease.

  2. Translational biomarkers of acetaminophen-induced acute liver injury.

    Science.gov (United States)

    Beger, Richard D; Bhattacharyya, Sudeepa; Yang, Xi; Gill, Pritmohinder S; Schnackenberg, Laura K; Sun, Jinchun; James, Laura P

    2015-09-01

    Acetaminophen (APAP) is a commonly used analgesic drug that can cause liver injury, liver necrosis and liver failure. APAP-induced liver injury is associated with glutathione depletion, the formation of APAP protein adducts, the generation of reactive oxygen and nitrogen species and mitochondrial injury. The systems biology omics technologies (transcriptomics, proteomics and metabolomics) have been used to discover potential translational biomarkers of liver injury. The following review provides a summary of the systems biology discovery process, analytical validation of biomarkers and translation of omics biomarkers from the nonclinical to clinical setting in APAP-induced liver injury.

  3. Biomarkers of Alzheimer’s disease in body fluids

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Various innovative diagnostic methods for Alzheimer’s disease (AD) have been developed in view of the increasing preva-lence and consequences of later-life dementia. Biomarkers in cerebrospinal fluid (CSF) and blood for AD are primarily based on the detection of components derived from amyloid plaques and neurofibrillary tangles (NFTs). Published reports on CSF and blood biomarkers in AD indicate that although biomarkers in body fluids may be utilized in the clinical diagnosis of AD, there are no specific markers that permit accurate and reliable diagnosis of early-stage AD or the monitoring of disease pro-gression.

  4. Models of Hepatocellular Carcinoma and Biomarker Strategy

    Energy Technology Data Exchange (ETDEWEB)

    Bagi, Cedo M., E-mail: cedo.bagi@pfizer.com; Andresen, Catharine J. [Global Science & Technology, PGRD, Pfizer Inc, Groton, CT 06340 (United States)

    2010-07-07

    The overwhelming need to improve preclinical models in oncology has stimulated research efforts to refine and validate robust orthotopic models that closely mimic the disease population and therefore have the potential to better predict clinical outcome with novel therapies. Sophisticated technologies including bioluminescence, contrast enhanced ultrasound imaging, positron emission tomography, computed tomography and magnetic resonance imaging have been added to existing serum- and histology-based biomarkers to assist with patient selection and the design of clinical trials. The rationale for the use of human hepatocellular carcinoma (HCC) cell lines, implementation of xenograft and orthotopic animal models and utilization of available biomarkers have been discussed, providing guidelines to facilitate preclinical research for the development of treatments for HCC patients.

  5. Models of Hepatocellular Carcinoma and Biomarker Strategy

    International Nuclear Information System (INIS)

    The overwhelming need to improve preclinical models in oncology has stimulated research efforts to refine and validate robust orthotopic models that closely mimic the disease population and therefore have the potential to better predict clinical outcome with novel therapies. Sophisticated technologies including bioluminescence, contrast enhanced ultrasound imaging, positron emission tomography, computed tomography and magnetic resonance imaging have been added to existing serum- and histology-based biomarkers to assist with patient selection and the design of clinical trials. The rationale for the use of human hepatocellular carcinoma (HCC) cell lines, implementation of xenograft and orthotopic animal models and utilization of available biomarkers have been discussed, providing guidelines to facilitate preclinical research for the development of treatments for HCC patients

  6. Methylated genes as new cancer biomarkers.

    LENUS (Irish Health Repository)

    Duffy, M J

    2012-02-01

    Aberrant hypermethylation of promoter regions in specific genes is a key event in the formation and progression of cancer. In at least some situations, these aberrant alterations occur early in the formation of malignancy and appear to be tumour specific. Multiple reports have suggested that measurement of the methylation status of the promoter regions of specific genes can aid early detection of cancer, determine prognosis and predict therapy responses. Promising DNA methylation biomarkers include the use of methylated GSTP1 for aiding the early diagnosis of prostate cancer, methylated PITX2 for predicting outcome in lymph node-negative breast cancer patients and methylated MGMT in predicting benefit from alkylating agents in patients with glioblastomas. However, prior to clinical utilisation, these findings require validation in prospective clinical studies. Furthermore, assays for measuring gene methylation need to be standardised, simplified and evaluated in external quality assurance programmes. It is concluded that methylated genes have the potential to provide a new generation of cancer biomarkers.

  7. Biomarkers in chronic adult hydrocephalus

    Directory of Open Access Journals (Sweden)

    Kitchen Neil D

    2006-10-01

    Full Text Available Abstract Awareness of the importance of chronic adult hydrocephalus has been raised again with the recent emergence of epidemiological studies. It is estimated that between 5 and 10% of patients suffering from dementia might, in fact, have chronic hydrocephalus. Although, surgical diversion of the cerebrospinal fluid (CSF represents the only known procedure able to treat the symptoms of this condition, the selection of surgical patients has always been problematic. In the last 40 years, we have become wiser in using appropriate diagnostic tests for the selection of these patients; however, the area of biological markers has so far been overlooked in this condition, in contrast to that for other neurodegenerative disorders and dementias. Biomarkers are biological substances that may be used to indicate either the onset or the presence, and the progression of a clinical condition, being closely linked to its pathophysiology. In such a setting they might assist in the more appropriate selection of patients for shunt surgery. In this article, we have reviewed research carried out in the last 25 years regarding the identification of serum and CSF biomarkers for chronic hydrocephalus, discussed the potential for each one, and finally discussed the limitations for use, as well as future directions and possibilities in this field. It is concluded that tumour-necrosis factor, tau protein, lactate, sulfatide and neurofilament triple protein are the most promising CSF markers for chronic hydrocephalus. At present however, none of these meet the criteria required to justify a change clinical practice. In the future, collaborative multi-centre projects will be needed to obtain more substantial data that overcome the problems that arise from small individual and uncoordinated studies.

  8. Circulating Biomarker Panels in Alzheimer's Disease.

    Science.gov (United States)

    Zafari, Sachli; Backes, Christina; Meese, Eckart; Keller, Andreas

    2015-01-01

    The early diagnosis of diseases frequently represents an important unmet clinical need supporting in-time treatment of pathologies. This also applies to neurodegenerative diseases such as Alzheimer's disease (AD), the most common form of dementia, estimated to affect millions of individuals worldwide. The respective diagnostic and prognostic markers, especially for the preclinical stages of AD, are expected to improve patients' outcome significantly. In the last decades, many approaches to detecting AD have been developed, including markers to discover changes in amyloid-β levels [from cerebrospinal fluid (CSF) or using positron emission tomography] or other brain imaging technologies such as structural magnetic resonance imaging (MRI), functional-connectivity MRI or task-related functional MRI. A major challenge is the detection of AD using minimally or even noninvasive biomarkers from body fluids such as plasma or serum. Circulating biomarker candidates based on mRNAs or proteins measured from blood cells, plasma or serum have been proposed for various pathologies including AD. As for other diseases, there is a tendency to use marker signatures obtained by high-throughput approaches, which allow the generation of profiles of hundreds to thousands of biomarkers simultaneously [microarrays, mass spectrometry or next-generation sequencing (NGS)]. Beyond mRNAs and proteins, recent approaches have measured small noncoding RNA (so-called microRNA) profiles in AD patients' blood samples using NGS or array-based technologies. Generally, the development of marker panels is in its early stages and requires further, substantial clinical validation. In this review, we provide an overview of different circulating AD biomarkers, starting with a brief summary of CSF markers and focusing on novel biomarker signatures such as small noncoding RNA profiles.

  9. An update on biomarkers in axial spondyloarthritis.

    Science.gov (United States)

    Prajzlerová, Klára; Grobelná, Kristýna; Pavelka, Karel; Šenolt, Ladislav; Filková, Mária

    2016-06-01

    Axial spondyloarthritis is a chronic inflammatory disease with the onset at a young age, and, if undiagnosed and untreated, it may result in permanent damage and lifelong disability. Rates of early diagnosis have improved, due in particular to the addition of magnetic resonance imaging into the diagnostic armamentaria; however, it is costly, not widely available, and requires experienced readers to interpret the findings. In addition to clinical measures and imaging techniques, biomarkers that will be described in this review may represent useful tools for diagnosis, monitoring disease activity and outcomes as well as therapeutic responses. Currently, HLA-B27 remains the best genetic biomarker for making a diagnosis, while CRP currently appears to be the best circulating measure for assessing disease activity, predicting structural progression and therapeutic response. Interestingly, key molecules in the pathogenesis of the disease and essential therapeutic targets, such as tumour necrosis factor (TNF)α, interleukin (IL)-17 and IL-23, show only limited association with disease characteristics or disease progression. Some genetic biomarkers and particularly anti-CD74 antibodies, may become a promising tool for the early diagnosis of axSpA. Further biomarkers, such as matrix metalloproteinases (MMP)-3, calprotectin (S100A8/9), vascular endothelial growth factor (VEGF), C-terminal telopeptide of type II collagen (CTX-II) or dickkopf-1 (DKK-1), are not sufficient to reflect disease activity, but may predict spinal structural progression. In addition, recent data have shown that monitoring calprotectin might represent a valuable biomarker of therapeutic response. However, all of these results need to be confirmed in large cohort studies prior to use in daily clinical practice. PMID:26851549

  10. Evidence from Biomarkers and Surrogate Endpoints

    OpenAIRE

    Feigin, Andrew

    2004-01-01

    Summary: The use of physiological, anatomical, and other biological tests is commonplace in the practice of medicine. In neurology, objectively measured tests termed biomarkers (BMs) are playing an increasing role in diagnosis and management of disease, both in clinical practice and in experimental therapeutics. This article will discuss the various applications of BMs to the assessment of therapies for neurological diseases and will use examples from neurological diseases to elucidate the st...

  11. Do We Need Biomarkers for Disc Degeneration?

    OpenAIRE

    Gruber, Helen E.; Edward N. Hanley, Jr.

    2007-01-01

    Disc degeneration plays a major role in this country's medical, social and economic structure. The life-time prevalence of low back pain, which has disc degeneration as its cause, is about 80% in the general population. It is a primary cause of disability and estimated costs related to low back disorders exceed $100 billion per year in the U.S. alone. Biomarkers are becoming increasingly important as indicators of the presence of disease, and in evaluating outcomes during clinical treatment. ...

  12. Cytokines as diagnostic biomarkers in canine pyometra and sepsis

    OpenAIRE

    Karlsson, Iulia

    2015-01-01

    Sepsis is a syndrome with high morbidity, mortality and astronomical health care costs and it is challenging to diagnose both in humans and animals due to the lack of suitable diagnostic biomarkers. Although several types of proteins have been suggested as diagnostic biomarkers of sepsis, none of them were shown to be reliable for routine use in the clinical practice. Dogs with uterine bacterial infection called pyometra often develop sepsis and have been suggested as a natural model of sepsi...

  13. Biomarkers for Ectopic Pregnancy and Pregnancy of Unknown Location

    OpenAIRE

    Senapati, Suneeta; Barnhart, Kurt T.

    2013-01-01

    Early pregnancy failure is the most common complication of pregnancy, and 1–2% of all pregnancies will be ectopic. As one of the leading causes of maternal morbidity and mortality, diagnosing ectopic pregnancy and determining the fate of a pregnancy of unknown location are of great clinical concern. Several serum and plasma biomarkers for ectopic pregnancy have been investigated independently and in combination. The following is a review of the state of biomarker discovery and development for...

  14. Plasma YKL-40: a potential new cancer biomarker?

    DEFF Research Database (Denmark)

    Johansen, Julia S; Schultz, Nicolai A; Jensen, Benny V

    2009-01-01

    tissue remodeling. Plasma levels of YKL-40 are elevated in a subgroup of patients with primary or advanced cancer compared with age-matched healthy subjects, but also in patients with many different diseases characterized by inflammation. Elevated plasma YKL-40 levels are an independent prognostic...... by inflammation. Large prospective, longitudinal clinical cancer studies are needed to determine if plasma YKL-40 is a new cancer biomarker, or is mainly a biomarker of inflammation....

  15. Advances in Biomarkers: Going Beyond the Carcinoembryonic Antigen.

    Science.gov (United States)

    Lopez, Nicole E; Peterson, Carrie Y

    2016-09-01

    Using biologically available markers to guide treatment decisions in colorectal cancer care is becoming increasingly common, though our understanding of these biomarkers is in its infancy. In this article, we will discuss how this area is rapidly changing, review important biomarkers being used currently, and explain how the results influence clinical decision-making. We will also briefly discuss the possibility of a liquid biopsy and explore several exciting and new options. PMID:27582644

  16. Biomarkers for early detection of Alzheimer disease.

    Science.gov (United States)

    Barber, Robert C

    2010-09-01

    The existence of an effective biomarker for early detection of Alzheimer disease would facilitate improved diagnosis and stimulate therapeutic trials. Multidisciplinary clinical diagnosis of Alzheimer disease is time consuming and expensive and relies on experts who are rarely available outside of specialty clinics. Thus, many patients do not receive proper diagnosis until the disease has progressed beyond stages in which treatments are maximally effective. In the clinical trial setting, rapid, cost-effective screening of patients for Alzheimer disease is of paramount importance for the development of new treatments. Neuroimaging of cortical amyloid burden and volumetric changes in the brain and assessment of protein concentrations (eg, β-amyloid 1-42, total tau, phosphorylated tau) in cerebrospinal fluid are diagnostic tools that are not widely available. Known genetic markers do not provide sufficient discriminatory power between different forms of dementia to be useful in isolation. Recent studies using panels of biomarkers for diagnosis of Alzheimer disease or mild cognitive impairment have been promising, though no such studies have been cross-validated in independent samples of subjects. The ideal biomarker enabling early detection of Alzheimer disease has not yet been identified.

  17. The importance of biomarkers in neonatology.

    Science.gov (United States)

    Mussap, M; Noto, A; Cibecchini, F; Fanos, V

    2013-02-01

    Despite a 35% decline in the mortality rate for infants aged years over the past two decades, every year nearly 40% of all deaths in this age group occur in the neonatal period, defined as the first 28 days of life. New knowledge on molecular and biochemical pathways in neonatal diseases will lead to the discovery of new candidate biomarkers potentially useful in clinical practice. In the era of personalized medicine, biomarkers may play a strategic role in accelerating the decline in neonatal mortality by assessing the risk of developing neonatal diseases, by implementing tailored therapeutic treatment, and by predicting the clinical outcome. However, there is an urgent need to reduce the gap in translating newly acquired knowledge from bench to bedside. Traditional and candidate biomarkers for neonatal sepsis and necrotizing enterocolitis will be discussed in this review, such as C-reactive protein (CRP), procalcitonin (PCT), serum amyloid A (SAA), soluble form of CD14 subtype presepsin (sCD14-ST), lipolysaccharide binding protein (LBP), angiopoietins (Ang)-1 and -2, soluble form of triggering receptor expressed on myeloid cells (sTREM-1), soluble form of urokinase-type plasminogen activator receptor (suPAR), platelet-activating factor (PAF) and calprotectin. New frontiers in managing critically ill newborns may be opened by metabolomics, a diagnostic tool based on the recognition of metabolites contained in biological fluids. Metabolomics represents the passage from a descriptive science to a predictive science, having the potential to translate benchtop research to real clinical benefits. PMID:23164809

  18. Identification of Biomarkers for Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Anna Meiliana

    2014-12-01

    Full Text Available BACKGROUND: Prostate cancer (PCa was the second most common type of cancer and the fifth leading cause of cancer-related death in men. The great challenge for physicians is being able to accurately predict PCa prognosis and treatment response in order to reduce PCa-speciic mortality while avoiding overtreatment by identifying of when to intervene, and in which patients. CONTENT: Currently, PCa prognosis and treatment decision of PCa involved digital rectal examination, Prostate-Speciic Antigens (PSA, and subsequent biopsies for histopathological staging, known as Gleason score. However, each procedure has its shortcomings. Efforts to find a better clinically meaningful and non-invasive biomarkers still developed involving proteins, circulating tumor cells, nucleic acids, and the ‘omics' approaches. SUMMARY: Biomarkers for PCa will most likely be an assay employing multiple biomarkers in combination using protein and gene microarrays, containing markers that are differentially expressed in PCa. KEYWORDS: prostate cancer, PSA, biomarkers, nomograms, miRNA, proteomic, genomic, metabolomic.

  19. Potential Serological Biomarkers of Cerebral Malaria

    Directory of Open Access Journals (Sweden)

    Naomi W. Lucchi

    2011-01-01

    Full Text Available Biomarkers have been used to diagnose and prognosticate the progress and outcome of many chronic diseases such as neoplastic and non communicable diseases. However, only recently did the field of malaria research move in the direction of actively identifying biomarkers that can accurately discriminate the severe forms of malaria. Malaria continues to be a deadly disease, killing close to a million people (mostly children every year. One life-threatening complication of malaria is cerebral malaria (CM. Studies carried out in Africa have demonstrated that even with the best treatment, as high as 15–30% of CM patients die and about 10–24% of CM survivors suffer short-or long-term neurological impairment. The transition from mild malaria to CM can be sudden and requires immediate intervention. Currently, there is no biological test available to confirm the diagnosis of CM and its complications. It is hoped that development of biomarkers to identify CM patients and potential risk for adverse outcomes would greatly enhance better intervention and clinical management to improve the outcomes. We review here what is currently known regarding biomarkers for CM outcomes.

  20. Preeclampsia, biomarkers, syncytiotrophoblast stress, and placental capacity.

    Science.gov (United States)

    Redman, Christopher W G; Staff, Anne Cathrine

    2015-10-01

    The maternal syndrome of preeclampsia is mediated by dysfunctional syncytiotrophoblast (STB). When this is stressed by uteroplacental malperfusion, its signaling to the mother changes, as part of a highly coordinated stress response. The STB signals are both proinflammatory and dysangiogenic such that the preeclamptic mother has a stronger vascular inflammatory response than normal, with an antiangiogenic bias. Angiogenic factors have limitations as preeclampsia biomarkers, especially for prediction and diagnosis of preeclampsia at term. However, if they are recognized as markers of STB stress, their physiological changes at term demonstrate that STB stress develops in all pregnancies. The biomarkers reveal that the duration of pregnancies is restricted by placental capacity, such that there is increasing placental dysfunction, at and beyond term. This capacity includes limitations imposed by the size of the uterus, the capacity of the uteroplacental circulation and, possibly, the supply of villous progenitor trophoblast cells. Limited placental capacity explains the increasing risks of postmaturity, including preeclampsia. Early-onset preeclampsia is predictable because STB stress and changes in its biomarkers are intrinsic to poor placentation, an early pregnancy pathology. Prediction of preeclampsia at term is not good because there is no early STB pathology. Moreover, biomarkers cannot accurately diagnose term preeclampsia against a background of universal STB dysfunction, which may or may not be clinically revealed before spontaneous or induced delivery. In this sense, postterm pregnancy is, at best, a pseudonormal state. However, the markers may prove useful in screening for women with more severe problems of postmaturity.

  1. Imaging biomarkers in primary brain tumours

    Energy Technology Data Exchange (ETDEWEB)

    Lopci, Egesta; Chiti, Arturo [Humanitas Clinical and Research Center, Nuclear Medicine Department, Rozzano, MI (Italy); Franzese, Ciro; Navarria, Pierina; Scorsetti, Marta [Humanitas Clinical and Research Center, Radiosurgery and Radiotherapy, Rozzano, MI (Italy); Grimaldi, Marco [Humanitas Clinical and Research Center, Radiology, Rozzano, MI (Italy); Zucali, Paolo Andrea; Simonelli, Matteo [Humanitas Clinical and Research Center, Medical Oncology, Rozzano, MI (Italy); Bello, Lorenzo [Humanitas Clinical and Research Center, Neurosurgery, Rozzano, MI (Italy)

    2015-04-01

    We are getting used to referring to instrumentally detectable biological features in medical language as ''imaging biomarkers''. These two terms combined reflect the evolution of medical imaging during recent decades, and conceptually comprise the principle of noninvasive detection of internal processes that can become targets for supplementary therapeutic strategies. These targets in oncology include those biological pathways that are associated with several tumour features including independence from growth and growth-inhibitory signals, avoidance of apoptosis and immune system control, unlimited potential for replication, self-sufficiency in vascular supply and neoangiogenesis, acquired tissue invasiveness and metastatic diffusion. Concerning brain tumours, there have been major improvements in neurosurgical techniques and radiotherapy planning, and developments of novel target drugs, thus increasing the need for reproducible, noninvasive, quantitative imaging biomarkers. However, in this context, conventional radiological criteria may be inappropriate to determine the best therapeutic option and subsequently to assess response to therapy. Integration of molecular imaging for the evaluation of brain tumours has for this reason become necessary, and an important role in this setting is played by imaging biomarkers in PET and MRI. In the current review, we describe most relevant techniques and biomarkers used for imaging primary brain tumours in clinical practice, and discuss potential future developments from the experimental context. (orig.)

  2. Imaging biomarkers in primary brain tumours

    International Nuclear Information System (INIS)

    We are getting used to referring to instrumentally detectable biological features in medical language as ''imaging biomarkers''. These two terms combined reflect the evolution of medical imaging during recent decades, and conceptually comprise the principle of noninvasive detection of internal processes that can become targets for supplementary therapeutic strategies. These targets in oncology include those biological pathways that are associated with several tumour features including independence from growth and growth-inhibitory signals, avoidance of apoptosis and immune system control, unlimited potential for replication, self-sufficiency in vascular supply and neoangiogenesis, acquired tissue invasiveness and metastatic diffusion. Concerning brain tumours, there have been major improvements in neurosurgical techniques and radiotherapy planning, and developments of novel target drugs, thus increasing the need for reproducible, noninvasive, quantitative imaging biomarkers. However, in this context, conventional radiological criteria may be inappropriate to determine the best therapeutic option and subsequently to assess response to therapy. Integration of molecular imaging for the evaluation of brain tumours has for this reason become necessary, and an important role in this setting is played by imaging biomarkers in PET and MRI. In the current review, we describe most relevant techniques and biomarkers used for imaging primary brain tumours in clinical practice, and discuss potential future developments from the experimental context. (orig.)

  3. Novel biomarkers for pulmonary arterial hypertension.

    Science.gov (United States)

    Anwar, Anjum; Ruffenach, Gregoire; Mahajan, Aman; Eghbali, Mansoureh; Umar, Soban

    2016-01-01

    Pulmonary arterial hypertension is a deadly disease characterized by elevated pulmonary arterial pressures leading to right ventricular hypertrophy and failure. The confirmatory gold standard test is the invasive right heart catheterization. The disease course is monitored by pulmonary artery systolic pressure measurement via transthoracic echocardiography. A simple non-invasive test to frequently monitor the patients is much needed. Search for a novel biomarker that can be detected by a simple test is ongoing and many different options are being studied. Here we review some of the new and unique pre-clinical options for potential pulmonary hypertension biomarkers. These biomarkers can be broadly categorized based on their association with endothelial cell dysfunction, inflammation, epigenetics, cardiac function, oxidative stress, metabolism,extracellular matrix, and volatile compounds in exhaled breath condensate. A biomarker that can be detected in blood, urine or breath condensate and correlates with disease severity, progression and response to therapy may result in significant cost reduction and improved patient outcomes. PMID:27439993

  4. Associations between Eating Competence and Cardiovascular Disease Biomarkers

    Science.gov (United States)

    Psota, Tricia L.; Lohse, Barbara; West, Sheila G.

    2007-01-01

    Objective: Explore the relationship between eating competence (EC) and biomarkers of risk for cardiovascular disease (CVD). Design: Secondary analysis of data collected for a larger, 2-way crossover clinical trial. Setting: Outpatient clinical research center. Participants: Forty-eight hypercholesterolemic (LDL cholesterol [greater than or equal]…

  5. Developing a Clinically Useful Calcium Isotope Biomarker

    Science.gov (United States)

    Romaniello, Stephen J.; Anbar, Ariel D.; Gordon, Gwyneth W.; Skulan, Joseph L.; Smith, Scott M.; Zwart, Sara R.; Monge, Jorge; Fonseca, Rafael

    2016-01-01

    Naturally-occurring Ca is mixture of six isotopes Ca-40, Ca-42, Ca-43, Ca-44, Ca-46, Ca-48). Biological reaction rates and equilibrium constants depend slightly, but measurably, on atomic mass, causing the relative abundances of Ca isotopes to vary between different tissues. During bone formation, light isotopes of Ca are preferentially incorporated into bone, leaving soft tissue depleted in light isotopes. In contrast, bone resorption exhibits no isotopic preference, and thus transfers the light isotope signature of bone back to soft tissue. This balance makes the Ca isotope composition of soft tissue (e.g. serum, urine) a highly sensitive, quantitative tracer for whole-body bone mineral balance (BMB).

  6. Development of a multi-biomarker disease activity test for rheumatoid arthritis.

    Directory of Open Access Journals (Sweden)

    Michael Centola

    Full Text Available BACKGROUND: Disease activity measurement is a key component of rheumatoid arthritis (RA management. Biomarkers that capture the complex and heterogeneous biology of RA have the potential to complement clinical disease activity assessment. OBJECTIVES: To develop a multi-biomarker disease activity (MBDA test for rheumatoid arthritis. METHODS: Candidate serum protein biomarkers were selected from extensive literature screens, bioinformatics databases, mRNA expression and protein microarray data. Quantitative assays were identified and optimized for measuring candidate biomarkers in RA patient sera. Biomarkers with qualifying assays were prioritized in a series of studies based on their correlations to RA clinical disease activity (e.g. the Disease Activity Score 28-C-Reactive Protein [DAS28-CRP], a validated metric commonly used in clinical trials and their contributions to multivariate models. Prioritized biomarkers were used to train an algorithm to measure disease activity, assessed by correlation to DAS and area under the receiver operating characteristic curve for classification of low vs. moderate/high disease activity. The effect of comorbidities on the MBDA score was evaluated using linear models with adjustment for multiple hypothesis testing. RESULTS: 130 candidate biomarkers were tested in feasibility studies and 25 were selected for algorithm training. Multi-biomarker statistical models outperformed individual biomarkers at estimating disease activity. Biomarker-based scores were significantly correlated with DAS28-CRP and could discriminate patients with low vs. moderate/high clinical disease activity. Such scores were also able to track changes in DAS28-CRP and were significantly associated with both joint inflammation measured by ultrasound and damage progression measured by radiography. The final MBDA algorithm uses 12 biomarkers to generate an MBDA score between 1 and 100. No significant effects on the MBDA score were found for

  7. Biomarkers for pancreatic carcinogenesis

    OpenAIRE

    Hustinx, S.R.

    2007-01-01

    Pancreatic cancer is a devastating disease. Most pancreatic cancers (approximately 85%) are diagnosed at a late, incurable stage. The poor prognosis and late presentation of pancreatic cancer patients underscore the importance of early detection, which is the sine qua non for the fight against pancreatic cancer. It is hoped for the future that the understanding of genetic alterations will lead to the rapid discovery of an effective biomarker of pancreatic carcinogenesis. In this thesis we vis...

  8. Biomarker-Guided Adaptive Trial Designs in Phase II and Phase III: A Methodological Review.

    Directory of Open Access Journals (Sweden)

    Miranta Antoniou

    Full Text Available Personalized medicine is a growing area of research which aims to tailor the treatment given to a patient according to one or more personal characteristics. These characteristics can be demographic such as age or gender, or biological such as a genetic or other biomarker. Prior to utilizing a patient's biomarker information in clinical practice, robust testing in terms of analytical validity, clinical validity and clinical utility is necessary. A number of clinical trial designs have been proposed for testing a biomarker's clinical utility, including Phase II and Phase III clinical trials which aim to test the effectiveness of a biomarker-guided approach to treatment; these designs can be broadly classified into adaptive and non-adaptive. While adaptive designs allow planned modifications based on accumulating information during a trial, non-adaptive designs are typically simpler but less flexible.We have undertaken a comprehensive review of biomarker-guided adaptive trial designs proposed in the past decade. We have identified eight distinct biomarker-guided adaptive designs and nine variations from 107 studies. Substantial variability has been observed in terms of how trial designs are described and particularly in the terminology used by different authors. We have graphically displayed the current biomarker-guided adaptive trial designs and summarised the characteristics of each design.Our in-depth overview provides future researchers with clarity in definition, methodology and terminology for biomarker-guided adaptive trial designs.

  9. Biomarkers of Ovarian Reserve

    Directory of Open Access Journals (Sweden)

    William E. Roudebush

    2008-01-01

    Full Text Available The primary function of the female ovary is the production of a mature and viable oocyte capable of fertilization and subsequent embryo development and implantation. At birth, the ovary contains a finite number of oocytes available for folliculogenesis. This finite number of available oocytes is termed “the ovarian reserve”. The determination of ovarian reserve is important in the assessment and treatment of infertility. As the ovary ages, the ovarian reserve will decline. Infertility affects approximately 15-20% of reproductive aged couples. The most commonly used biomarker assay to assess ovarian reserve is the measurement of follicle stimulating hormone (FSH on day 3 of the menstrual cycle. However, antimüllerian hormone and inhibin-B are other biomarkers of ovarian reserve that are gaining in popularity since they provide direct determination of ovarian status, whereas day 3 FSH is an indirect measurement. This review examines the physical tools and the hormone biomarkers used to evaluate ovarian reserve.

  10. A New Serum Biomarker for Lung Cancer - Transthyretin

    Directory of Open Access Journals (Sweden)

    Liyun LIU

    2009-04-01

    Full Text Available Background and objective Lung cancer is the leading cause of cancer death worldwide and very few specific biomarkers could be used in clinical diagnosis at present. The aim of this study is to find novel potential serum biomarkers for lung cancer using Surface Enhanced Laser Desorption/Ionization (SELDI technique. Methods Serumsample of 227 cases including 146 lung cancer, 13 pneumonia, 28 tuberculous pleurisy and 40 normal individuals were analyzed by CM10 chips. The candidate biomarkers were identified by ESI/MS-MS and database searching, and further confirmed by immunoprecipitation. The same sets of serum sample from all groups were re-measured by ELISA assay. Results Three protein peaks with the molecular weight 13.78 kDa, 13.90 kDa and 14.07 kDa were found significantlydecreased in lung cancer serum compared to the other groups and were all automatically selected as specific biomarkers by Biomarker Wizard software. The candidate biomarkers obtained from 1-D SDS gel bands by matching the molecular weight with peaks on CM10 chips were identified by Mass spectrometry as the native transthyretin (nativeTTR, cysTTR and glutTTR, and the identity was further validated by immunoprecipitation using commercial TTR antibodies. Downregulated of TTR was found in both ELISA and SELDI analysis. Conclusion TTRs acted as the potentially useful biomarkers for lung cancer by SELDI technique.

  11. Biomarkers of Nutrition for Development-Folate Review.

    Science.gov (United States)

    Bailey, Lynn B; Stover, Patrick J; McNulty, Helene; Fenech, Michael F; Gregory, Jesse F; Mills, James L; Pfeiffer, Christine M; Fazili, Zia; Zhang, Mindy; Ueland, Per M; Molloy, Anne M; Caudill, Marie A; Shane, Barry; Berry, Robert J; Bailey, Regan L; Hausman, Dorothy B; Raghavan, Ramkripa; Raiten, Daniel J

    2015-07-01

    The Biomarkers of Nutrition for Development (BOND) project is designed to provide evidence-based advice to anyone with an interest in the role of nutrition in health. Specifically, the BOND program provides state-of-the-art information and service with regard to selection, use, and interpretation of biomarkers of nutrient exposure, status, function, and effect. To accomplish this objective, expert panels are recruited to evaluate the literature and to draft comprehensive reports on the current state of the art with regard to specific nutrient biology and available biomarkers for assessing nutrients in body tissues at the individual and population level. Phase I of the BOND project includes the evaluation of biomarkers for 6 nutrients: iodine, iron, zinc, folate, vitamin A, and vitamin B-12. This review represents the second in the series of reviews and covers all relevant aspects of folate biology and biomarkers. The article is organized to provide the reader with a full appreciation of folate's history as a public health issue, its biology, and an overview of available biomarkers (serum folate, RBC folate, and plasma homocysteine concentrations) and their interpretation across a range of clinical and population-based uses. The article also includes a list of priority research needs for advancing the area of folate biomarkers related to nutritional health status and development. PMID:26451605

  12. Copeptin as a biomarker in cardiac disease.

    Science.gov (United States)

    Giannopoulos, Georgios; Deftereos, Spyridon; Panagopoulou, Vasiliki; Kossyvakis, Charalambos; Kaoukis, Andreas; Bouras, Georgios; Pyrgakis, Vlassios; Cleman, Michael W

    2013-01-01

    The introduction of biochemical biomarkers in the evaluation of patients with cardiovascular disease has led to practice-changing advancements in the way these patients are diagnosed and managed. Measurements of cardiac troponins or brain-type natriuretic peptide (BNP) and its precursor, N-terminal brain-type natriuretic peptide (NT-proBNP), have become indispensable in the evaluation of patients with acute coronary syndromes and heart failure, respectively, constituting an integral part of the diagnostic algorithm and risk stratification of these conditions. Copeptin, a glycopeptide, part of the prehormone molecule of the antidiuretic hormone - or arginine-vasopressin - has shown considerable promise in this field. There is evidence that copeptin might be useful as a diagnostic or prognostic biomarker and risk-stratifier in a range of cardiovascular disease conditions. The main clinical scenarios where copeptin has been studied as a biomarker are: early rule-out of myocardial infarction in patients with acute chest pain, diagnosis of heart failure in patients with acute dyspnea and determining the prognosis of destabilized or chronic stable heart failure. The present review is aimed at providing concise information about the molecular structure and biosynthesis of copeptin, the available medical chemistry methods of quantification, and the potential clinical uses of this molecule in patients with heart disease.

  13. Saliva: A diagnostic biomarker of periodontal diseases.

    Science.gov (United States)

    Patil, Priti Basgauda; Patil, Basgauda Ramesh

    2011-10-01

    Early detection of disease plays a crucial role in successful therapy. Early diagnosis and management reduces the severity and possible complications of the disease process. To overcome this challenge, medical researchers are devoted to finding molecular disease biomarkers that reveal a hidden lethal threat before the disease becomes complicated. Saliva, an important physiologic fluid, containing a highly complex mixture of substances, is rapidly gaining popularity as a diagnostic tool. Periodontal disease is a chronic disease of the oral cavity comprising a group of inflammatory conditions affecting the supporting structures of the dentition. In the field of periodontology, traditional clinical criteria are often insufficient for determining sites of active disease, for monitoring the response to therapy, or for measuring the degree of susceptibility to future disease progression. Saliva, as a mirror of oral and systemic health, is a valuable source for clinically relevant information because it contains biomarkers specific for the unique physiologic aspects of periodontal diseases. This review highlights the various potentials of saliva as a diagnostic biomarker for periodontal diseases.

  14. Multiplex immune serum biomarker profiling in sarcoidosis and systemic sclerosis.

    Science.gov (United States)

    Beirne, P; Pantelidis, P; Charles, P; Wells, A U; Abraham, D J; Denton, C P; Welsh, K I; Shah, P L; du Bois, R M; Kelleher, P

    2009-12-01

    Multiplex protein technology has the potential to identify biomarkers for the differentiation, classification and improved understanding of the pathogenesis of interstitial lung disease. The aim of this study was to determine whether a 30-inflammatory biomarker panel could discriminate between healthy controls, sarcoidosis and systemic sclerosis (SSc) patients independently of other clinical indicators. We also evaluated whether a panel of biomarkers could differentiate between the presence or absence of lung fibrosis in SSc patients. We measured 30 circulating biomarkers in 20 SSc patients, 21 sarcoidosis patients and 20 healthy controls using Luminex bead technology and used Fisher's discriminant function analysis to establish the groups of classification mediators. There were significant differences in median concentration measurements between study groups for 20 of the mediators but with considerable range overlap between the groups, limiting group differentiation by single analyte measurements. However, a 17-analyte biomarker model correctly classified 90% of study individuals to their respective group and another 14-biomarker panel correctly identified the presence of lung fibrosis in SSc patients. These findings, if they are corroborated by independent studies in other centres, have potential for clinical application and may generate novel insights into the modulation of immune profiles during disease evolution. PMID:19541722

  15. cNEUPRO: Novel Biomarkers for Neurodegenerative Diseases

    Directory of Open Access Journals (Sweden)

    Philipp Spitzer

    2010-01-01

    Full Text Available “clinical NEUroPROteomics of neurodegenerative diseases” (cNEUPRO is a Specific Targeted Research Project (STREP within the sixth framework program of the European Commission dedicated to the search for novel biomarker candidates for Alzheimer's disease and other neurodegenerative diseases. The ultimate goal of cNEUPRO is to identify one or more valid biomarker(s in blood and CSF applicable to support the early and differential diagnosis of dementia disorders. The consortium covers all steps required for the discovery of novel biomarker candidates such as acquisition of high quality CSF and blood samples from relevant patient groups and controls, analysis of body fluids by various methods, and finally assay development and assay validation. Here we report the standardized procedures for diagnosis and preanalytical sample-handling within the project, as well as the status of the ongoing research activities and some first results.

  16. The Present and Future of Prostate Cancer Urine Biomarkers

    Directory of Open Access Journals (Sweden)

    Jeremy Clark

    2013-06-01

    Full Text Available In order to successfully cure patients with prostate cancer (PCa, it is important to detect the disease at an early stage. The existing clinical biomarkers for PCa are not ideal, since they cannot specifically differentiate between those patients who should be treated immediately and those who should avoid over-treatment. Current screening techniques lack specificity, and a decisive diagnosis of PCa is based on prostate biopsy. Although PCa screening is widely utilized nowadays, two thirds of the biopsies performed are still unnecessary. Thus the discovery of non-invasive PCa biomarkers remains urgent. In recent years, the utilization of urine has emerged as an attractive option for the non-invasive detection of PCa. Moreover, a great improvement in high-throughput “omic” techniques has presented considerable opportunities for the identification of new biomarkers. Herein, we will review the most significant urine biomarkers described in recent years, as well as some future prospects in that field.

  17. Using biomarkers to improve detection of Alzheimer’s disease

    Science.gov (United States)

    Biagioni, Milton C; Galvin, James E

    2011-01-01

    SUMMARY Disease-modifying approaches for Alzheimer’s disease (AD) might be most effective when initiated very early in the course, before the pathologic burden and neuronal and synaptic degeneration make it unlikely that halting disease progression would have a significant impact on patient outcomes. Biomarkers of disease may provide important avenues of research to enhance the diagnosis of individuals with early AD and could assist in the identification of those individuals at risk for developing AD. However, for such biomarkers to become clinically useful, long-term follow-up studies are necessary to evaluate the relevance of cross-sectional biomarker changes to the longitudinal course of the disease. The objective of this article is to review recent progress in AD biomarkers for the early diagnosis, classification, progression and prediction of AD and their usefulness in new treatment trials. PMID:22076127

  18. Circulating microRNAs as Prognostic and Predictive Biomarkers in Patients with Colorectal Cancer

    OpenAIRE

    Jakob Vasehus Schou; Julia Sidenius Johansen; Dorte Nielsen; Simona Rossi

    2016-01-01

    MiRNAs are suggested as promising cancer biomarkers. They are stable and extractable from a variety of clinical tissue specimens (fresh frozen or formalin fixed paraffin embedded tissue) and a variety of body fluids (e.g., blood, urine, saliva). However, there are several challenges that need to be solved, considering their potential as biomarkers in cancer, such as lack of consistency between biomarker panels in independent studies due to lack of standardized sample handling and processing, ...

  19. Biomarkers of Disease and Treatment in Murine and Cynomolgus Models of Chronic Asthma

    OpenAIRE

    Jennifer Louten,; Mattson, Jeanine D.; Maria-Christina Malinao; Ying Li; Claire Emson; Felix Vega; Robert L. Wardle; Scott, Michael R.; Fick, Robert B.; McClanahan, Terrill K.; Rene de Waal Malefyt; Maribel Beaumont

    2012-01-01

    Background Biomarkers facilitate early detection of disease and measurement of therapeutic efficacy, both at clinical and experimental levels. Recent advances in analytics and disease models allow comprehensive screening for biomarkers in complex diseases, such as asthma, that was previously not feasible. Objective Using murine and nonhuman primate (NHP) models of asthma, identify biomarkers associated with early and chronic stages of asthma and responses to steroid treatment. Methods The tot...

  20. Serum microRNA-1233 is a specific biomarker for diagnosing acute pulmonary embolism

    OpenAIRE

    Kessler, Thorsten; Erdmann, Jeanette; Vilne, Baiba; Bruse, Petra; Kurowski, Volkhard; Diemert, Patrick; Schunkert, Heribert; Sager, Hendrik B

    2016-01-01

    Background Circulating microRNAs (miRNAs) emerge as novel biomarkers in cardiovascular diseases. Diagnosing acute pulmonary embolism (PE) remains challenging due to a diverse clinical presentation and the lack of specific biomarkers. Here we evaluate serum miRNAs as potential biomarkers in acute PE. Methods We enrolled 30 patients with acute, CT (computed tomography)-angiographically confirmed central PE and collected serum samples on the day of emergency room admission (1st day) and from 22 ...

  1. Microparticles as Potential Biomarkers of Cardiovascular Disease

    Energy Technology Data Exchange (ETDEWEB)

    França, Carolina Nunes, E-mail: carolufscar24@gmail.com [Universidade Federal de São Paulo - UNIFESP - UNISA, SP, São Paulo (Brazil); Universidade de Santo Amaro - UNISA, SP, São Paulo (Brazil); Izar, Maria Cristina de Oliveira; Amaral, Jônatas Bussador do; Tegani, Daniela Melo; Fonseca, Francisco Antonio Helfenstein [Universidade Federal de São Paulo - UNIFESP - UNISA, SP, São Paulo (Brazil)

    2015-02-15

    Primary prevention of cardiovascular disease is a choice of great relevance because of its impact on health. Some biomarkers, such as microparticles derived from different cell populations, have been considered useful in the assessment of cardiovascular disease. Microparticles are released by the membrane structures of different cell types upon activation or apoptosis, and are present in the plasma of healthy individuals (in levels considered physiological) and in patients with different pathologies. Many studies have suggested an association between microparticles and different pathological conditions, mainly the relationship with the development of cardiovascular diseases. Moreover, the effects of different lipid-lowering therapies have been described in regard to measurement of microparticles. The studies are still controversial regarding the levels of microparticles that can be considered pathological. In addition, the methodologies used still vary, suggesting the need for standardization of the different protocols applied, aiming at using microparticles as biomarkers in clinical practice.

  2. Biomarkers for Lupus Nephritis: A Critical Appraisal

    Directory of Open Access Journals (Sweden)

    Chi Chiu Mok

    2010-01-01

    Full Text Available Kidney disease is one of the most serious manifestations of systemic lupus erythematosus (SLE. Despite the improvement in the medical care of SLE in the past two decades, the prognosis of lupus nephritis remains unsatisfactory. Besides exploring more effective but less toxic treatment modalities that will further improve the remission rate, early detection and treatment of renal activity may spare patients from intensive immunosuppressive therapies and reduce renal damage. Conventional clinical parameters such as creatinine clearance, proteinuria, urine sediments, anti-dsDNA, and complement levels are not sensitive or specific enough for detecting ongoing disease activity in the lupus kidneys and early relapse of nephritis. Thus, novel biomarkers are necessary to enhance the diagnostic accuracy and sensitivity of lupus renal disease, prognostic stratification, monitoring of treatment response, and detection of early renal flares. This paper reviews promising biomarkers that have recently been evaluated in longitudinal studies of lupus nephritis.

  3. Biomarkers for rheumatoid and psoriatic arthritis.

    Science.gov (United States)

    Verheul, M K; Fearon, U; Trouw, L A; Veale, D J

    2015-11-01

    Rheumatic diseases, such as rheumatoid and psoriatic arthritis are systemic inflammatory conditions characterized by a chronic form of arthritis, often leading to irreversible joint damage. Early treatment for patients with rheumatic diseases is required to reduce or prevent joint injury. However, early diagnosis can be difficult and currently it is not possible to predict which individual patient will develop progressive erosive disease or who may benefit from a specific treatment according to their clinical features at presentation. Biomarkers are therefore required to enable earlier diagnosis and predict prognosis in both rheumatoid arthritis and psoriatic arthritis. In this review we will examine the evidence and current status of established and experimental biomarkers in rheumatoid and psoriatic arthritis for three important purposes; disease diagnosis, prognosis and prediction of response to therapy.

  4. Biomarkers of Barrett’s esophagus

    Institute of Scientific and Technical Information of China (English)

    Yasser; Mahrous; Fouad; Ibrahim; Mostafa; Reem; Yehia; Hisham; El-Khayat

    2014-01-01

    Barrett’s esophagus is the strongest risk for esophageal adenocarcinoma(EAC). Metaplasia in patients with BE may progress to dysplasia and then invasive carcinoma. Well-defined diagnostic, progressive, predictive, and prognostic biomarkers are needed to identify the presence of the disease, estimate the risk of malignant transformation, and predict the therapeutic outcome and survival of EAC patients. There are many predictive and prognostic markers that lack substantial validation, and do not allow stratification of patients with gastroesophageal reflux disease in clinical practice for outcome and effectiveness of therapy. In this short review we summarize the current knowledge regarding possible biomarkers, focusing on the pathophysiologic mechanisms to improve prognostic and therapeutic approaches.

  5. Development of a label-free LC-MS/MS strategy to approach the identification of candidate protein biomarkers of disease recurrence in prostate cancer patients in a clinical trial of combined hormone and radiation therapy.

    LENUS (Irish Health Repository)

    Morrissey, Brian

    2013-06-01

    Combined hormone and radiation therapy (CHRT) is one of the principle curative regimes for localised prostate cancer (PCa). Following treatment, many patients subsequently experience disease recurrence however; current diagnostics tests fail to predict the onset of disease recurrence. Biomarkers that address this issue would be of significant advantage.

  6. New serum biomarkers for prostate cancer diagnosis

    Directory of Open Access Journals (Sweden)

    Kailash C Chadha

    2014-01-01

    Full Text Available Background: Prostate-specific antigen (PSA is currently used as a biomarker for diagnosis and management of prostate cancer (CaP. However, PSA typically lacks the sensitivity and specificity desired of a diagnostic marker. Objective: The goal of this study was to identify an additional biomarker or a panel of biomarkers that is more sensitive and specific than PSA in differentiating benign versus malignant prostate disease and/or localized CaP versus metastatic CaP. Methods: Concurrent measurements of circulating interleukin-8 (IL-8, Tumor necrosis factor-α (TNF-α and soluble tumor necrosis factor-α receptors 1 (sTNFR1 were obtained from four groups of men: (1 Controls (2 with elevated prostate-specific antigen with a negative prostate biopsy (elPSA_negBx (3 with clinically localized CaP and (4 with castration resistant prostate cancer. Results: TNF-α Area under the receiver operating characteristic curve (AUC = 0.93 and sTNFR1 (AUC = 0.97 were strong predictors of elPSA_negBx (vs. CaP. The best predictor of elPSA_negBx vs CaP was sTNFR1 and IL-8 combined (AUC = 0.997. The strongest single predictors of localized versus metastatic CaP were TNF-α (AUC = 0.992 and PSA (AUC = 0.963 levels. Conclusions: The specificity and sensitivity of a PSA-based CaP diagnosis can be significantly enhanced by concurrent serum measurements of IL-8, TNF-α and sTNFR1. In view of the concerns about the ability of PSA to distinguish clinically relevant CaP from indolent disease, assessment of these biomarkers in the larger cohort is warranted.

  7. New serum biomarkers for prostate cancer diagnosis

    Science.gov (United States)

    Chadha, Kailash C.; Miller, Austin; Nair, Bindukumar B.; Schwartz, Stanley A.; Trump, Donald L.; Underwood, Willie

    2014-01-01

    Background Prostate-specific antigen (PSA) is currently used as a biomarker for diagnosis and management of prostate cancer (CaP). However, PSA typically lacks the sensitivity and specificity desired of a diagnostic marker. Objective The goal of this study was to identify an additional biomarker or a panel of biomarkers that is more sensitive and specific than PSA in differentiating benign versus malignant prostate disease and/or localized CaP versus metastatic CaP. Methods Concurrent measurements of circulating interleukin-8 (IL-8), Tumor necrosis factor-α (TNF-α) and soluble tumor necrosis factor-α receptors 1 (sTNFR1) were obtained from four groups of men: (1) Controls (2) with elevated prostate-specific antigen with a negative prostate biopsy (elPSA_negBx) (3) with clinically localized CaP and (4) with castration resistant prostate cancer. Results TNF-α Area under the receiver operating characteristic curve (AUC = 0.93) and sTNFR1 (AUC = 0.97) were strong predictors of elPSA_negBx (vs. CaP). The best predictor of elPSA_negBx vs CaP was sTNFR1 and IL-8 combined (AUC = 0.997). The strongest single predictors of localized versus metastatic CaP were TNF-α (AUC = 0.992) and PSA (AUC = 0.963) levels. Conclusions The specificity and sensitivity of a PSA-based CaP diagnosis can be significantly enhanced by concurrent serum measurements of IL-8, TNF-α and sTNFR1. In view of the concerns about the ability of PSA to distinguish clinically relevant CaP from indolent disease, assessment of these biomarkers in the larger cohort is warranted. PMID:25593898

  8. Biomarker Identification Using Text Mining

    Directory of Open Access Journals (Sweden)

    Hui Li

    2012-01-01

    Full Text Available Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database.

  9. Restoration of sensitivity in chemo-resistant glioma cells by cold atmospheric plasma.

    Science.gov (United States)

    Köritzer, Julia; Boxhammer, Veronika; Schäfer, Andrea; Shimizu, Tetsuji; Klämpfl, Tobias G; Li, Yang-Fang; Welz, Christian; Schwenk-Zieger, Sabina; Morfill, Gregor E; Zimmermann, Julia L; Schlegel, Jürgen

    2013-01-01

    Glioblastoma (GBM) is the most common and aggressive brain tumor in adults. Despite multimodal treatments including surgery, chemotherapy and radiotherapy the prognosis remains poor and relapse occurs regularly. The alkylating agent temozolomide (TMZ) has been shown to improve the overall survival in patients with malignant gliomas, especially in tumors with methylated promoter of the O6-methylguanine-DNA-methyltransferase (MGMT) gene. However, intrinsic and acquired resistance towards TMZ makes it crucial to find new therapeutic strategies aimed at improving the prognosis of patients suffering from malignant gliomas. Cold atmospheric plasma is a new auspicious candidate in cancer treatment. In the present study we demonstrate the anti-cancer properties of different dosages of cold atmospheric plasma (CAP) both in TMZ-sensitive and TMZ-resistant cells by proliferation assay, immunoblotting, cell cycle analysis, and clonogenicity assay. Importantly, CAP treatment restored the responsiveness of resistant glioma cells towards TMZ therapy. Concomitant treatment with CAP and TMZ led to inhibition of cell growth and cell cycle arrest, thus CAP might be a promising candidate for combination therapy especially for patients suffering from GBMs showing an unfavorable MGMT status and TMZ resistance.

  10. Restoration of sensitivity in chemo-resistant glioma cells by cold atmospheric plasma.

    Directory of Open Access Journals (Sweden)

    Julia Köritzer

    Full Text Available Glioblastoma (GBM is the most common and aggressive brain tumor in adults. Despite multimodal treatments including surgery, chemotherapy and radiotherapy the prognosis remains poor and relapse occurs regularly. The alkylating agent temozolomide (TMZ has been shown to improve the overall survival in patients with malignant gliomas, especially in tumors with methylated promoter of the O6-methylguanine-DNA-methyltransferase (MGMT gene. However, intrinsic and acquired resistance towards TMZ makes it crucial to find new therapeutic strategies aimed at improving the prognosis of patients suffering from malignant gliomas. Cold atmospheric plasma is a new auspicious candidate in cancer treatment. In the present study we demonstrate the anti-cancer properties of different dosages of cold atmospheric plasma (CAP both in TMZ-sensitive and TMZ-resistant cells by proliferation assay, immunoblotting, cell cycle analysis, and clonogenicity assay. Importantly, CAP treatment restored the responsiveness of resistant glioma cells towards TMZ therapy. Concomitant treatment with CAP and TMZ led to inhibition of cell growth and cell cycle arrest, thus CAP might be a promising candidate for combination therapy especially for patients suffering from GBMs showing an unfavorable MGMT status and TMZ resistance.

  11. Reversible Adaptive Plasticity: A Mechanism for Neuroblastoma Cell Heterogeneity and Chemo-Resistance

    OpenAIRE

    AnthonyDSandler

    2012-01-01

    We describe a novel form of tumor cell plasticity characterized by reversible adaptive plasticity in murine and human neuroblastoma. Two cellular phenotypes were defined by their ability to exhibit adhered, anchorage dependent (AD) or sphere forming, anchorage independent (AI) growth. The tumor cells could transition back and forth between the two phenotypes and the transition was dependent on the culture conditions. Both cell phenotypes exhibited stem-like features such as expression of nest...

  12. Lysophosphatidate induces chemo-resistance by releasing breast cancer cells from taxol-induced mitotic arrest.

    Directory of Open Access Journals (Sweden)

    Nasser Samadi

    Full Text Available BACKGROUND: Taxol is a microtubule stabilizing agent that arrests cells in mitosis leading to cell death. Taxol is widely used to treat breast cancer, but resistance occurs in 25-69% of patients and it is vital to understand how Taxol resistance develops to improve chemotherapy. The effects of chemotherapeutic agents are overcome by survival signals that cancer cells receive. We focused our studies on autotaxin, which is a secreted protein that increases tumor growth, aggressiveness, angiogenesis and metastasis. We discovered that autotaxin strongly antagonizes the Taxol-induced killing of breast cancer and melanoma cells by converting the abundant extra-cellular lipid, lysophosphatidylcholine, into lysophosphatidate. This lipid stimulates specific G-protein coupled receptors that activate survival signals. METHODOLOGY/PRINCIPAL FINDINGS: In this study we determined the basis of these antagonistic actions of lysophosphatidate towards Taxol-induced G2/M arrest and cell death using cultured breast cancer cells. Lysophosphatidate does not antagonize Taxol action in MCF-7 cells by increasing Taxol metabolism or its expulsion through multi-drug resistance transporters. Lysophosphatidate does not lower the percentage of cells accumulating in G2/M by decreasing exit from S-phase or selective stimulation of cell death in G2/M. Instead, LPA had an unexpected and remarkable action in enabling MCF-7 and MDA-MB-468 cells, which had been arrested in G2/M by Taxol, to normalize spindle structure and divide, thus avoiding cell death. This action involves displacement of Taxol from the tubulin polymer fraction, which based on inhibitor studies, depends on activation of LPA receptors and phosphatidylinositol 3-kinase. CONCLUSIONS/SIGNIFICANCE: This work demonstrates a previously unknown consequence of lysophosphatidate action that explains why autotaxin and lysophosphatidate protect against Taxol-induced cell death and promote resistance to the action of this important therapeutic agent.

  13. Reversible adaptive plasticity: A mechanism for neuroblastoma cell heterogeneity and chemo-resistance

    Directory of Open Access Journals (Sweden)

    Lina eChakrabarti

    2012-08-01

    Full Text Available We describe a novel form of tumor cell plasticity characterized by reversible adaptive plasticity in murine and human neuroblastoma. Two cellular phenotypes were defined by their ability to exhibit adhered, anchorage dependent (AD or sphere forming, anchorage independent (AI growth. The tumor cells could transition back and forth between the two phenotypes and the transition was dependent on the culture conditions. Both cell phenotypes exhibited stem-like features such as expression of nestin, self-renewal capacity and mesenchymal differentiation potential. The AI tumorspheres were found to be more resistant to chemotherapy and proliferated slower in vitro compared to the AD cells. Identification of specific molecular markers like MAP2, β-catenin and PDGFRβ enabled us to characterize and observe both phenotypes in established mouse tumors. Irrespective of the phenotype originally implanted in mice, tumors grown in vivo show phenotypic heterogeneity in molecular marker signatures and are indistinguishable in growth or histologic appearance. Similar molecular marker heterogeneity was demonstrated in primary human tumor specimens. Chemotherapy or growth factor receptor inhibition slowed tumor growth in mice and promoted initial loss of AD or AI heterogeneity, respectively. Simultaneous targeting of both phenotypes led to further tumor growth delay with emergence of new unique phenotypes. Our results demonstrate that neuroblastoma cells are plastic, dynamic and may optimize their ability to survive by changing their phenotype. Phenotypic switching appears to be an adaptive mechanism to unfavorable selection pressure and could explain the phenotypic and functional heterogeneity of neuroblastoma.

  14. Co-treatment by docetaxel and vinblastine breaks down P-glycoprotein mediated chemo-resistance

    Directory of Open Access Journals (Sweden)

    Mahsa Mohseni

    2016-03-01

    Results: Combination treatment of the cells with docetaxel and vinblastine decreased the IC50 values for docetaxel from (30±3.1 to (15±2.6 nM and for vinblastine from (30±5.9 to (5±5.6 nM (P≤0.05.               P-glycoprotein mRNA expression level showed a significant up-regulation in the cells incubated with each drug alone (P≤0.001. Incubation of the cells with combined concentrations of both agents neutralized P-glycoprotein overexpression (P≤0.05. Adding verapamil, a P-glycoprotein inhibitor caused a further increase in the percentage of apoptotic cells when the cells were treated with both agents.  Conclusion:Our results suggest that combination therapy along with P-glycoprotein inhibition can be considered as a novel approach to improve the efficacy of chemotherapeutics in cancer patients with high P-glycoprotein expression.

  15. Enhanced and selective ammonia sensing of reduced graphene oxide based chemo resistive sensor at room temperature

    Science.gov (United States)

    Kumar, Ramesh; Kaur, Amarjeet

    2016-05-01

    The reduced graphene oxide thin films were fabricated by using the spin coating method. The reduced graphene oxide samples were characterised by Raman studies to obtain corresponding D and G bands at 1360 and 1590 cm-1 respectively. Fourier transform infra-red (FTIR) spectra consists of peak corresponds to sp2 hybridisation of carbon atoms at 1560 cm-1. The reduced graphene oxide based chemoresistive sensor exhibited a p-type semiconductor behaviour in ambient conditions and showed good sensitivity to different concentration of ammonia from 25 ppm to 500 ppm and excellent selectivity at room temperature. The sensor displays selectivity to several hazardous vapours such as methanol, ethanol, acetone and hydrazine hydrate. The sensor demonstrated a sensitivity of 9.8 at 25 ppm concentration of ammonia with response time of 163 seconds.

  16. Novel biomarkers in critical care: utility or futility?

    Science.gov (United States)

    Ackland, Gareth L; Mythen, Michael G

    2007-01-01

    One of the holy grails of modern medicine, across a range of clinical sub-specialties, is establishing highly sensitive and specific biomarkers for various diseases. Significant success has been achieved in some of these clinical areas, most notably identifying high-sensitivity C-reactive peptide, troponin I/T and brain natriuretic peptide as significant prognosticators for both the acute outcome and the development of cardiovascular pathology. However, it is highly debatable whether this translates to complex, multi-system pathophysiological insults. Is critical care immune from the application of these novel biomarkers, given the numerous confounding factors interfering with their interpretation?

  17. Biomarkers of cardiovascular stress in obstructive sleep apnea.

    Science.gov (United States)

    Maeder, Micha T; Mueller, Christian; Schoch, Otto D; Ammann, Peter; Rickli, Hans

    2016-09-01

    Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder associated with "cardiovascular stress", i.e. cardiovascular risk factors, cardiovascular diseases, and an increased risk of heart failure, stroke, and death. Experimental and clinical studies have characterized potential underlying mechanisms including biventricular dysfunction, atherosclerosis, and arrhythmia. Assessment of these cardiovascular features of OSA requires a spectrum of clinical tools including ECG, echocardiography, exercise testing, and angiography. In contrast to many cardiovascular diseases, the role of blood biomarkers to characterize cardiovascular function and cardiovascular risk in OSA is poorly defined. In the present review we summarize the available data on biomarkers potentially providing information on cardiovascular features in OSA patients without overt cardiovascular disease. The vast majority of studies on biomarkers of cardiovascular stress in OSA evaluated B-type natriuretic peptide (BNP)/N-terminal-B-type natriuretic peptide (NT-proBNP), and cardiac troponins (cTn). Although some studies found significant associations between these cardiac biomarkers and the presence and severity of OSA, data remain conflicting. Also, the detailed pathophysiological mechanisms underlying the link between OSA and hemodynamic cardiac stress (BNP/NT-proBNP) and cardiomyocyte damage (cTn) are poorly understood. Major research efforts are required to establish the clinical role of cardiovascular biomarkers in patients with OSA. PMID:27380998

  18. Diagnostic and economic evaluation of new biomarkers for Alzheimer's disease: The research protocol of a prospective cohort study

    OpenAIRE

    Handels Ron LH; Aalten Pauline; Wolfs Claire AG; OldeRikkert Marcel; Scheltens Philip; Visser Pieter; Joore Manuela A; Severens Johan L; Verhey Frans RJ

    2012-01-01

    Abstract Background New research criteria for the diagnosis of Alzheimer’s disease (AD) have recently been developed to enable an early diagnosis of AD pathophysiology by relying on emerging biomarkers. To enable efficient allocation of health care resources, evidence is needed to support decision makers on the adoption of emerging biomarkers in clinical practice. The research goals are to 1) assess the diagnostic test accuracy of current clinical diagnostic work-up and emerging biomarkers in...

  19. Brief report: biomarkers of aortic vascular prosthetic graft infection in a porcine model with Staphylococcus aureus

    DEFF Research Database (Denmark)

    Langerhuus, S. N.; Tønnesen, E. K.; Jensen, K. H.;

    2010-01-01

    Aortic vascular prosthetic graft infection (AVPGI) with Staphylococcus aureus is a feared post-operative complication. This study was conducted to evaluate the clinical signs and potential biomarkers of infection in a porcine AVPGI model. The biomarkers evaluated were: C-reactive protein (CRP...

  20. A method for the early health technology assessment of novel biomarker measurement in primary prevention programs

    NARCIS (Netherlands)

    Postmus, Douwe; de Graaf, Gimon; Hillege, Hans L.; Steyerberg, Ewout W.; Buskens, Erik

    2012-01-01

    Many promising biomarkers for stratifying individuals at risk of developing a chronic disease or subsequent complications have been identified. Research into the potential cost-effectiveness of applying these biomarkers in actual clinical settings has however been lacking. Investors and analysts may

  1. Biomarkers in early phase development of central nervous system drugs : a conceptual framework

    NARCIS (Netherlands)

    Post, Jeroen-Paul van der

    2006-01-01

    The main objective of this thesis is to provide a conceptual framework for the use of Central Nervous System (CNS) biomarkers in early phase clinical drug development. In the Introduction the current use of biomarkers in early CNS drug development is discussed. A conceptual framework for the classif

  2. A Prototype Biomarker Detector Combining Biomarker Extraction and Fixed Temperature PCR.

    Science.gov (United States)

    Russ, Patricia K; Karhade, Aditya V; Bitting, Anna L; Doyle, Andrew; Solinas, Francesca; Wright, David W; Haselton, Frederick R

    2016-08-01

    PCR is the most sensitive molecular diagnostic available for infectious diseases. The goal for low-resource settings is a simple, inexpensive instrument. Toward this goal, we previously published a self-contained sample preparation instrument that uses magnetics and prearrayed reagents in thin tubing to extract nucleic acids and perform isothermal amplification and detection of extracted biomarkers. To incorporate PCR thermal cycling, after biomarker is magnetically extracted from a patient sample, the section of tubing containing the extracted biomarker and PCR reagents is alternately positioned within two constant temperature blocks. This instrument was evaluated initially by extracting and amplifying a 140 bp fragment of the IS6110 sequence of tuberculosis from TE buffer. The mean cycle threshold for 5 × 10(6) copies of IS6110 was 25.5 ± 1.5 cycles (n = 4), which was significantly different from negative control samples (34.0 ± 2.6 cycles; n = 3). Using a more clinically relevant sample, we extracted and amplified Plasmodium falciparum DNA from malaria-infected human blood cultures. The average cycle threshold for 1% parasitemia samples was 24.7 ± 1.5 cycles (n = 3) and significantly different from negatives (31.5 ± 2.1 cycles; n = 3). This approach integrates biomarker extraction, PCR amplification, and detection in a simple, linear tubing design with potential for use as a low-resource instrument. PMID:26920577

  3. Biomarkers in mood disorders research: developing new and improved therapeutics

    Directory of Open Access Journals (Sweden)

    MARK J. NICIU

    2014-01-01

    Full Text Available Background Recently, surrogate neurobiological biomarkers that correlate with target engagement and therapeutic response have been developed and tested in early phase studies of mood disorders. Objective The identification of biomarkers could help develop personalized psychiatric treatments that may impact public health. Methods These biomarkers, which are associated with clinical response post-treatment, can be directly validated using multimodal approaches including genetic tools, proteomics/metabolomics, peripheral measures, neuroimaging, biostatistical predictors, and clinical predictors. Results To date, early phase biomarker studies have sought to identify measures that can serve as “biosignatures”, or biological patterns of clinical response. These studies have also sought to identify clinical predictors and surrogate outcomes associated with pathophysiological domains consistently described in the National Institute of Mental Health’s (NIMH new Research Domain Criteria (RDoC. Using the N-methyl-D-aspartate (NMDA antagonist ketamine as an example, we identified changes in several domains (clinical, cognitive, and neurophysiological that predicted ketamine’s rapid and sustained antidepressant effects in individuals with treatment-resistant major depressive disorder (MDD or bipolar depression. Discussion These approaches may ultimately provide clues into the neurobiology of psychiatric disorders and may have enormous impact Backon the development of novel therapeutics.

  4. Biomarkers, erectile dysfunction, and cardiovascular risk prediction:the latest of an evolving concept

    Institute of Scientific and Technical Information of China (English)

    Charalambos Vlachopoulos; Nikolaos Ioakeimidis; Christodoulos Stefanadis

    2015-01-01

    A number of circulating and imaging biomarkers are robustly associated with cardiovascular (CV) risk. The overall expectation from a biomarker in the erectile dysfunction (ED) setting is to enhance the optimal management of a man with this disorder but no clinical atherosclerosis. Evidence demonstrating that these biomarkers enhance risk prediction for individuals with ED is at this stage still limited for most of them. A better identification of the subsets of the ED population that require further risk stratification, as well as the initiation of randomized trials that will formally test the ability of biomarkers to predict CV risk, could make biomarker‑guided prevention an attainable goal.

  5. Epigenetic biomarkers in liver cancer.

    Science.gov (United States)

    Banaudha, Krishna K; Verma, Mukesh

    2015-01-01

    Liver cancer (hepatocellular carcinoma or HCC) is a major cancer worldwide. Research in this field is needed to identify biomarkers that can be used for early detection of the disease as well as new approaches to its treatment. Epigenetic biomarkers provide an opportunity to understand liver cancer etiology and evaluate novel epigenetic inhibitors for treatment. Traditionally, liver cirrhosis, proteomic biomarkers, and the presence of hepatitis viruses have been used for the detection and diagnosis of liver cancer. Promising results from microRNA (miRNA) profiling and hypermethylation of selected genes have raised hopes of identifying new biomarkers. Some of these epigenetic biomarkers may be useful in risk assessment and for screening populations to identify who is likely to develop cancer. Challenges and opportunities in the field are discussed in this chapter.

  6. Serum biomarkers in Acute Respiratory Distress Syndrome an ailing prognosticator

    Directory of Open Access Journals (Sweden)

    Pneumatikos Ioannis

    2005-06-01

    Full Text Available Abstract The use of biomarkers in medicine lies in their ability to detect disease and support diagnostic and therapeutic decisions. New research and novel understanding of the molecular basis of the disease reveals an abundance of exciting new biomarkers who present a promise for use in the everyday clinical practice. The past fifteen years have seen the emergence of numerous clinical applications of several new molecules as biologic markers in the research field relevant to acute respiratory distress syndrome (translational research. The scope of this review is to summarize the current state of knowledge about serum biomarkers in acute lung injury and acute respiratory distress syndrome and their potential value as prognostic tools and present some of the future perspectives and challenges.

  7. Biomarkers and Pharmacogenetics in Pancreatic Cancer

    Directory of Open Access Journals (Sweden)

    Xunhai Xu

    2011-07-01

    Full Text Available Appropriate identification and validation of biomarkers as well as pharmacogenetics are important in formulating patient-oriented, individualized chemotherapy or biological therapy in cancer patients. These markers can be especially valuable in pancreatic cancer, where high mortality and complex disease biology are frequently encountered. Recently, several advances have been made to further our knowledge in this specific area of pancreatic cancer. In the 2011 American Society of Clinical Oncology (ASCO Annual Meeting, researchers have presented several interesting results in biomarkers development: the identifications of 9 single nucleotide polymorphisms (SNPs that is associated with positive efficacy of gemcitabine (Abstract #4022; the introduction of circulating tumor cells as a prognostic markers in pancreatic adenocarcinoma (Abstract #e14657; the re-affirmation of plasma cytidine deaminase (CDA as a positive predictive markers for gemcitabine efficacy, as well as the postulations that CDA*3 as a potential genotype marker to predict gemcitabine responses (Abstract #e14645; and finally the retrospective tumor tissues analysis in the Arbeitsgemeinschaft Internistische Onkologie (AIO trial in an attempt for epidermal growth factor receptor (EGFR pathway biomarker identifications (Abstract #4047

  8. Tissue- and Serum-Associated Biomarkers of Hepatocellular Carcinoma

    Science.gov (United States)

    Chauhan, Ranjit; Lahiri, Nivedita

    2016-01-01

    Hepatocellular carcinoma (HCC), one of the leading causes of cancer deaths in the world, is offering a challenge to human beings, with the current modes of treatment being a palliative approach. Lack of proper curative or preventive treatment methods encouraged extensive research around the world with an aim to detect a vaccine or therapeutic target biomolecule that could lead to development of a drug or vaccine against HCC. Biomarkers or biological disease markers have emerged as a potential tool as drug/vaccine targets, as they can accurately diagnose, predict, and even prevent the diseases. Biomarker expression in tissue, serum, plasma, or urine can detect tumor in very early stages of its development and monitor the cancer progression and also the effect of therapeutic interventions. Biomarker discoveries are driven by advanced techniques, such as proteomics, transcriptomics, whole genome sequencing, micro- and micro-RNA arrays, and translational clinics. In this review, an overview of the potential of tissue- and serum-associated HCC biomarkers as diagnostic, prognostic, and therapeutic targets for drug development is presented. In addition, we highlight recently developed micro-RNA, long noncoding RNA biomarkers, and single-nucleotide changes, which may be used independently or as complementary biomarkers. These active investigations going on around the world aimed at conquering HCC might show a bright light in the near future.

  9. Novel technologies and emerging biomarkers for personalized cancer immunotherapy.

    Science.gov (United States)

    Yuan, Jianda; Hegde, Priti S; Clynes, Raphael; Foukas, Periklis G; Harari, Alexandre; Kleen, Thomas O; Kvistborg, Pia; Maccalli, Cristina; Maecker, Holden T; Page, David B; Robins, Harlan; Song, Wenru; Stack, Edward C; Wang, Ena; Whiteside, Theresa L; Zhao, Yingdong; Zwierzina, Heinz; Butterfield, Lisa H; Fox, Bernard A

    2016-01-01

    The culmination of over a century's work to understand the role of the immune system in tumor control has led to the recent advances in cancer immunotherapies that have resulted in durable clinical responses in patients with a variety of malignancies. Cancer immunotherapies are rapidly changing traditional treatment paradigms and expanding the therapeutic landscape for cancer patients. However, despite the current success of these therapies, not all patients respond to immunotherapy and even those that do often experience toxicities. Thus, there is a growing need to identify predictive and prognostic biomarkers that enhance our understanding of the mechanisms underlying the complex interactions between the immune system and cancer. Therefore, the Society for Immunotherapy of Cancer (SITC) reconvened an Immune Biomarkers Task Force to review state of the art technologies, identify current hurdlers, and make recommendations for the field. As a product of this task force, Working Group 2 (WG2), consisting of international experts from academia and industry, assembled to identify and discuss promising technologies for biomarker discovery and validation. Thus, this WG2 consensus paper will focus on the current status of emerging biomarkers for immune checkpoint blockade therapy and discuss novel technologies as well as high dimensional data analysis platforms that will be pivotal for future biomarker research. In addition, this paper will include a brief overview of the current challenges with recommendations for future biomarker discovery.

  10. Investigational biomarkers for pancreatic adenocarcinoma: where do we stand?

    Science.gov (United States)

    Datta, Jashodeep; Vollmer, Charles M

    2014-04-01

    Although the outcomes for pancreatic ductal adenocarcinoma (PDAC) remain disappointing, there has been considerable improvement in the 5-year survival rate of patients with resectable disease. As such, an R0 surgical resection (microscopic tumor clearance) offers patients with PDAC the greatest survival benefit. Carbohydrate antigen 19-9, the only US Food and Drug Administration-approved biomarker for PDAC, is a poor screening tool and is most informative after PDAC resection. Consequently, there has been a tremendous initiative to discover novel biomarkers that may aid in detecting the disease earlier, improving prognosis, and predicting response to available chemotherapy. The number of implicated biomarkers in PDAC is indeed staggering, with >2500 proposed candidates presented in the recent literature. A vast majority of these biomarkers, however, remain in the investigational phase. This review categorizes the most promising biomarkers--those closest to potential clinical application--into diagnostic and prognostic/predictive groups. The greatest challenge likely lies in the search for an effective diagnostic biomarker that can accurately discriminate between malignant and benign disease, and thereby facilitate earlier identification of those patients with PDAC who may benefit most from surgical resection. PMID:24937521

  11. Emerging Risk Biomarkers in Cardiovascular Diseases and Disorders

    Directory of Open Access Journals (Sweden)

    Ravi Kant Upadhyay

    2015-01-01

    Full Text Available Present review article highlights various cardiovascular risk prediction biomarkers by incorporating both traditional risk factors to be used as diagnostic markers and recent technologically generated diagnostic and therapeutic markers. This paper explains traditional biomarkers such as lipid profile, glucose, and hormone level and physiological biomarkers based on measurement of levels of important biomolecules such as serum ferritin, triglyceride to HDLp (high density lipoproteins ratio, lipophorin-cholesterol ratio, lipid-lipophorin ratio, LDL cholesterol level, HDLp and apolipoprotein levels, lipophorins and LTPs ratio, sphingolipids, Omega-3 Index, and ST2 level. In addition, immunohistochemical, oxidative stress, inflammatory, anatomical, imaging, genetic, and therapeutic biomarkers have been explained in detail with their investigational specifications. Many of these biomarkers, alone or in combination, can play important role in prediction of risks, its types, and status of morbidity. As emerging risks are found to be affiliated with minor and microlevel factors and its diagnosis at an earlier stage could find CVD, hence, there is an urgent need of new more authentic, appropriate, and reliable diagnostic and therapeutic markers to confirm disease well in time to start the clinical aid to the patients. Present review aims to discuss new emerging biomarkers that could facilitate more authentic and fast diagnosis of CVDs, HF (heart failures, and various lipid abnormalities and disorders in the future.

  12. Emerging risk biomarkers in cardiovascular diseases and disorders.

    Science.gov (United States)

    Upadhyay, Ravi Kant

    2015-01-01

    Present review article highlights various cardiovascular risk prediction biomarkers by incorporating both traditional risk factors to be used as diagnostic markers and recent technologically generated diagnostic and therapeutic markers. This paper explains traditional biomarkers such as lipid profile, glucose, and hormone level and physiological biomarkers based on measurement of levels of important biomolecules such as serum ferritin, triglyceride to HDLp (high density lipoproteins) ratio, lipophorin-cholesterol ratio, lipid-lipophorin ratio, LDL cholesterol level, HDLp and apolipoprotein levels, lipophorins and LTPs ratio, sphingolipids, Omega-3 Index, and ST2 level. In addition, immunohistochemical, oxidative stress, inflammatory, anatomical, imaging, genetic, and therapeutic biomarkers have been explained in detail with their investigational specifications. Many of these biomarkers, alone or in combination, can play important role in prediction of risks, its types, and status of morbidity. As emerging risks are found to be affiliated with minor and microlevel factors and its diagnosis at an earlier stage could find CVD, hence, there is an urgent need of new more authentic, appropriate, and reliable diagnostic and therapeutic markers to confirm disease well in time to start the clinical aid to the patients. Present review aims to discuss new emerging biomarkers that could facilitate more authentic and fast diagnosis of CVDs, HF (heart failures), and various lipid abnormalities and disorders in the future. PMID:25949827

  13. Neuroimaging biomarkers for early drug development in schizophrenia.

    Science.gov (United States)

    Tregellas, Jason R

    2014-07-15

    Given the relative inability of currently available antipsychotic treatments to adequately provide sustained recovery and improve quality of life for patients with schizophrenia, new treatment strategies are urgently needed. One way to improve the therapeutic development process may be an increased use of biomarkers in early clinical trials. Reliable biomarkers that reflect aspects of disease pathophysiology can be used to determine if potential treatment strategies are engaging their desired biological targets. This review evaluates three potential neuroimaging biomarkers: hippocampal hyperactivity, gamma-band deficits, and default network abnormalities. These deficits have been widely replicated in the illness, correlate with measures of positive symptoms, are consistent with models of disease pathology, and have shown initial promise as biomarkers of biological response in early studies of potential treatment strategies. Two key features of these deficits, and a guiding rationale for the focus of this review, are that the deficits are not dependent upon patients' performance of specific cognitive tasks and they have analogues in animal models of schizophrenia, greatly increasing their appeal for use as biomarkers. Using neuroimaging biomarkers such as those proposed here to establish early in the therapeutic development process if treatment strategies are having their intended biological effect in humans may facilitate development of new treatments for schizophrenia. PMID:24094513

  14. Approach to Cerebrospinal Fluid (CSF) Biomarker Discovery and Evaluation in HIV Infection

    Energy Technology Data Exchange (ETDEWEB)

    Price, Richard W.; Peterson, Julia; Fuchs, Dietmar; Angel, Thomas E.; Zetterberg, Henrik; Hagberg, Lars; Spudich, Serena S.; Smith, Richard D.; Jacobs, Jon M.; Brown, Joseph N.; Gisslen, Magnus

    2013-12-13

    Central nervous system (CNS) infection is a nearly universal facet of systemic HIV infection that varies in character and neurological consequences. While clinical staging and neuropsychological test performance have been helpful in evaluating patients, cerebrospinal fluid (CSF) biomarkers present a valuable and objective approach to more accurate diagnosis, assessment of treatment effects and understanding of evolving pathobiology. We review some lessons from our recent experience with CSF biomarker studies. We have used two approaches to biomarker analysis: targeted, hypothesis-driven and non-targeted exploratory discovery methods. We illustrate the first with data from a cross-sectional study of defined subject groups across the spectrum of systemic and CNS disease progression and the second with a longitudinal study of the CSF proteome in subjects initiating antiretroviral treatment. Both approaches can be useful and, indeed, complementary. The first is helpful in assessing known or hypothesized biomarkers while the second can identify novel biomarkers and point to broad interactions in pathogenesis. Common to both is the need for well-defined samples and subjects that span a spectrum of biological activity and biomarker concentrations. Previouslydefined guide biomarkers of CNS infection, inflammation and neural injury are useful in categorizing samples for analysis and providing critical biological context for biomarker discovery studies. CSF biomarkers represent an underutilized but valuable approach to understanding the interactions of HIV and the CNS and to more objective diagnosis and assessment of disease activity. Both hypothesis-based and discovery methods can be useful in advancing the definition and use of these biomarkers.

  15. Lack of consensus in biomarker measurement to diagnose PCI-related myocardial infarction

    DEFF Research Database (Denmark)

    Al-Dakhiel, Zaid; Rune Larsen, Søren; Svenstrup Poulsen, Tina;

    2008-01-01

    Objective. To evaluate if biomarker sampling in PCI has adhered to the 2 000 consensus document for the diagnosis of procedure-related myocardial infarction (MI). Design. Firstly, a review of relevant papers from 2000 to September 2007 was done. Secondly, in October 2007, a questionnaire addressing...... biomarker sampling in routine PCI was sent to Danish PCI centres. Results. Fourteen papers fulfilled the selection criteria. In six studies serial sampling according to the consensus document had been done. Biomarker measuring before PCI was not performed in four studies. All centres answered...... the questionnaire. In none of six centres the proposed 3-sample testing of biomarkers had been followed. A pre-PCI sample was taken in one centre. In approximately half of the centres biomarkers were only measured on clinical indication. Conclusion. Biomarker sampling for procedure-related MI according to the 2 000...

  16. Hepcidin - A novel biomarker with changing trends

    Directory of Open Access Journals (Sweden)

    Arunava Kali

    2015-01-01

    Full Text Available Hepcidin is a novel peptide hormone of hepatic origin. It has a crucial role in iron metabolism. The causative association of this peptide in anemia and iron overloading states has been well established. Current research has expanded the diagnostic implications of hepcidin in other medical conditions. Increased serum hepcidin has been reported in neoplastic diseases, inflammation, and sepsis. However, the clinical use of hepcidin as a biomarker is limited owing to nonavailability of an appropriate diagnostic test. Assays for serum and urine hepcidin estimation have been developed recently, which are likely to facilitate the use of hepcidin in research as well as in patient care in the near future.

  17. Biomarkers for lymphoma

    Energy Technology Data Exchange (ETDEWEB)

    Zangar, Richard C.; Varnum, Susan M.

    2014-09-02

    A biomarker, method, test kit, and diagnostic system for detecting the presence of lymphoma in a person are disclosed. The lymphoma may be Hodgkin's lymphoma or non-Hodgkin's lymphoma. The person may be a high-risk subject. In one embodiment, a plasma sample from a person is obtained. The level of at least one protein listed in Table S3 in the plasma sample is measured. The level of at least one protein in the plasma sample is compared with the level in a normal or healthy subject. The lymphoma is diagnosed based upon the level of the at least one protein in the plasma sample in comparison to the normal or healthy level.

  18. Biomarkers in the pathogenesis, diagnosis, and treatment of psoriasis

    Directory of Open Access Journals (Sweden)

    Molteni S

    2012-09-01

    Full Text Available Silvia Molteni, Eva RealiLaboratory of Translational Immunology, Istituto Ortopedico Galeazzi, Milan, ItalyAbstract: Development of psoriasis results from a complex interplay between genetically predisposing factors and environmental triggers that give rise to a self-sustaining pathogenic cycle involving T cells, dendritic cells, connective tissue, and skin epithelium. From 5% to 40% of patients with psoriasis also develop psoriatic arthritis, and increasing evidence indicates an association with other systemic manifestations, including cardiovascular disease and the metabolic syndrome. In psoriatic disease, there is a need for development of biomarkers for assessment of disease severity, for prediction of the outcome of therapeutic interventions, and for distinction between the different clinical variants of the disease. A field of great importance is identification of biomarkers for prediction of development of comorbidities, such as arthritis, cardiovascular disease, and the metabolic syndrome. Genetic determinants of psoriasis and their products not only give an important insight into the pathogenesis of the disease, but may also function as markers of risk for developing cutaneous psoriasis or psoriatic arthritis. So far, there are limited validation data to support the use of candidate biomarkers in clinical practice. Here we review the data from several studies on some of the most promising candidate biomarkers for cutaneous psoriasis and psoriatic arthritis, for the detection of systemic inflammation, and for use as endpoints for therapeutic interventions. Attention is focused on the molecules that take part in the interplay giving rise to psoriasis and on gene products that may represent a link between predisposing genetic factors and the immune and inflammatory processes involved in pathogenesis of the disease. Finally, we provide an overview on how biomarkers can offer insights into the pathogenesis and natural history of psoriasis

  19. Giant cell glioblastoma in childhood - clinical case from our practice and literature survey

    International Nuclear Information System (INIS)

    We present a rare clinical case of brain tumor in childhood - giant cells glioblastoma- The disease was diagnosed in July 2014. Following an evidently total tumor excision, a course of chemotherapy with Vincristine, Vepesid and Cisplatine was applied followed by external beam radiotherapy of total dose 56 Gy. After 4 courses of chemotherapy (Vepesid, Cisplatine and Cyclophosphamide), on the regular MRI - performed in January 2015, local tumor recurrence was discovered requiring re-operation. A local progression of the disease was manifested after 6 courses chemotherapy (Temodal 100 mg 1 tablet daily for 5 days monthly) with increased intracranial pressure, followed by exitus letalis of the patient, 12 months after the diagnosis being made. A rarely met pathology subtype of giant cells glioblastoma in childhood was discussed, its typical MRI image, unfavorable prognosis and manifested radio- and chemo-resistance. Despite the complex treatment including total tumor excision, postoperative radiotherapy with radical irradiation dose and adjuvant chemotherapy the risk of local recurrences and tumor progression is high. With the help of this rarely diagnosed aggressive brain tumor in childhood, we present the need of optimization of the multidisciplinary treatment approach. (authors) Key words: Giant Cell Glioblastoma. Childhood. Surgery. Radiotherapy. Chemotherapy. Complex Treatment

  20. Chromogranin A as a biomarker in cardiovascular disease

    DEFF Research Database (Denmark)

    Goetze, Jens P; Alehagen, Urban; Flyvbjerg, Allan;

    2014-01-01

    with acute coronary syndromes or chronic heart failure. In this article, we summarize the current clinical data on chromogranin A as a biomarker in cardiovascular disease from high-risk conditions; for example, obesity, hypertension and diabetes, to overt heart failure. Biological activity of the various...

  1. An extensive targeted proteomic analysis of disease-related protein biomarkers in urine from healthy donors.

    Directory of Open Access Journals (Sweden)

    Brian M Nolen

    Full Text Available The analysis of protein biomarkers in urine is expected to lead to advances in a variety of clinical settings. Several characteristics of urine including a low-protein matrix, ease of testing and a demonstrated proteomic stability offer distinct advantages over current widely used biofluids, serum and plasma. Improvements in our understanding of the urine proteome and in methods used in its evaluation will facilitate the clinical development of urinary protein biomarkers. Multiplexed bead-based immunoassays were utilized to evaluate 211 proteins in urines from 103 healthy donors. An additional 25 healthy donors provided serial urine samples over the course of two days in order to assess temporal variation in selected biomarkers. Nearly one-third of the evaluated biomarkers were detected in urine at levels greater than 1 ng/ml, representing a diverse panel of proteins with respect to structure, function and biological role. The presence of several biomarkers in urine was confirmed by western blot. Several methods of data normalization were employed to assess impact on biomarker variability. A complex pattern of correlations with urine creatinine, albumin and beta-2-microglobulin was observed indicating the presence of highly specific mechanisms of renal filtration. Further investigation of the urinary protein biomarkers identified in this preliminary study along with a consideration of the underlying proteomic trends suggested by these findings should lead to an improved capability to identify candidate biomarkers for clinical development.

  2. Biomarkers for personalized oncology: recent advances and future challenges.

    Science.gov (United States)

    Kalia, Madhu

    2015-03-01

    Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells and oncology is a branch of medicine that deals with tumors. The last decade has seen significant advances in the development of biomarkers in oncology that play a critical role in understanding molecular and cellular mechanisms which drive tumor initiation, maintenance and progression. Clinical molecular diagnostics and biomarker discoveries in oncology are advancing rapidly as we begin to understand the complex mechanisms that transform a normal cell into an abnormal one. These discoveries have fueled the development of novel drug targets and new treatment strategies. The standard of care for patients with advanced-stage cancers has shifted away from an empirical treatment strategy based on the clinical-pathological profile to one where a biomarker driven treatment algorithm based on the molecular profile of the tumor is used. Recent advances in multiplex genotyping technologies and high-throughput genomic profiling by next-generation sequencing make possible the rapid and comprehensive analysis of the cancer genome of individual patients even from very little tumor biopsy material. Predictive (diagnostic) biomarkers are helpful in matching targeted therapies with patients and in preventing toxicity of standard (systemic) therapies. Prognostic biomarkers identify somatic germ line mutations, changes in DNA methylation, elevated levels of microRNA (miRNA) and circulating tumor cells (CTC) in blood. Predictive biomarkers using molecular diagnostics are currently in use in clinical practice of personalized oncotherapy for the treatment of five diseases: chronic myeloid leukemia, colon, breast, lung cancer and melanoma and these biomarkers are being used successfully to evaluate benefits that can be achieved through targeted therapy. Examples of these molecularly targeted biomarker therapies are: tyrosine kinase inhibitors in chronic myeloid leukemia and

  3. Data-driven asthma endotypes defined from blood biomarker and gene expression data

    Science.gov (United States)

    The diagnosis and treatment of childhood asthma is complicated by its mechanistically distinct subtypes (endotypes) driven by genetic susceptibility and modulating environmental factors. Clinical biomarkers and blood gene expression were collected from a stratified, cross-section...

  4. HER2: An emerging biomarker in non-breast and non-gastric cancers

    Directory of Open Access Journals (Sweden)

    Norhayati Omar

    2015-08-01

    Conclusion: Moving forward, the rigorous evaluation of HER2 (protein and genomic status as a predictive biomarker will be necessary to bring anti-HER2 therapeutics for non-breast and non-gastric cancers to the clinic.

  5. Efficacy, Safety, and Biomarkers of Single-Agent Bevacizumab Therapy in Patients with Advanced Hepatocellular Carcinoma

    OpenAIRE

    Boige, Valérie; Malka, David; Bourredjem, Abderrahmane; Dromain, Clarisse; Baey, Charlotte; Jacques, Nathalie; Pignon, Jean-Pierre; Vimond, Nadege; Bouvet-Forteau, Nathalie; De Baere, Thierry; Ducreux, Michel; Farace, Françoise

    2012-01-01

    The safety, efficacy, and potential biomarkers of activity of bevacizumab in patients with advanced hepatocellular carcinoma were assessed. Bevacizumab was active and well tolerated. The clinical value of circulating endothelial cells and interleukin-6 and -8 warrants further investigation.

  6. Serum Glycoprotein Biomarker Discovery and Qualification Pipeline Reveals Novel Diagnostic Biomarker Candidates for Esophageal Adenocarcinoma.

    Science.gov (United States)

    Shah, Alok K; Cao, Kim-Anh Lê; Choi, Eunju; Chen, David; Gautier, Benoît; Nancarrow, Derek; Whiteman, David C; Saunders, Nicholas A; Barbour, Andrew P; Joshi, Virendra; Hill, Michelle M

    2015-11-01

    We report an integrated pipeline for efficient serum glycoprotein biomarker candidate discovery and qualification that may be used to facilitate cancer diagnosis and management. The discovery phase used semi-automated lectin magnetic bead array (LeMBA)-coupled tandem mass spectrometry with a dedicated data-housing and analysis pipeline; GlycoSelector (http://glycoselector.di.uq.edu.au). The qualification phase used lectin magnetic bead array-multiple reaction monitoring-mass spectrometry incorporating an interactive web-interface, Shiny mixOmics (http://mixomics-projects.di.uq.edu.au/Shiny), for univariate and multivariate statistical analysis. Relative quantitation was performed by referencing to a spiked-in glycoprotein, chicken ovalbumin. We applied this workflow to identify diagnostic biomarkers for esophageal adenocarcinoma (EAC), a life threatening malignancy with poor prognosis in the advanced setting. EAC develops from metaplastic condition Barrett's esophagus (BE). Currently diagnosis and monitoring of at-risk patients is through endoscopy and biopsy, which is expensive and requires hospital admission. Hence there is a clinical need for a noninvasive diagnostic biomarker of EAC. In total 89 patient samples from healthy controls, and patients with BE or EAC were screened in discovery and qualification stages. Of the 246 glycoforms measured in the qualification stage, 40 glycoforms (as measured by lectin affinity) qualified as candidate serum markers. The top candidate for distinguishing healthy from BE patients' group was Narcissus pseudonarcissus lectin (NPL)-reactive Apolipoprotein B-100 (p value = 0.0231; AUROC = 0.71); BE versus EAC, Aleuria aurantia lectin (AAL)-reactive complement component C9 (p value = 0.0001; AUROC = 0.85); healthy versus EAC, Erythroagglutinin Phaseolus vulgaris (EPHA)-reactive gelsolin (p value = 0.0014; AUROC = 0.80). A panel of 8 glycoforms showed an improved AUROC of 0.94 to discriminate EAC from BE. Two biomarker candidates

  7. Salivary biomarkers for detection of systemic diseases.

    Directory of Open Access Journals (Sweden)

    Nilminie Rathnayake

    Full Text Available BACKGROUND AND OBJECTIVE: Analysis of inflammatory biomarkers in saliva could offer an attractive opportunity for the diagnosis of different systemic conditions specifically in epidemiological surveys. The aim of this study was to investigate if certain salivary biomarkers could be used for detection of common systemic diseases. MATERIALS AND METHODS: A randomly selected sample of 1000 adults living in Skåne, a county in the southern part of Sweden, was invited to participate in a clinical study of oral health. 451 individuals were enrolled in this investigation, 51% women. All participants were asked to fill out a questionnaire, history was taken, a clinical examination was made and stimulated saliva samples were collected. Salivary concentrations of IL-1β, -6, -8, TNF-α, lysozyme, MMP-8 and TIMP-1 were determined using ELISA, IFMA or Luminex assays. RESULTS: Salivary IL-8 concentration was found to be twice as high in subjects who had experience of tumour diseases. In addition, IL-8 levels were also elevated in patients with bowel disease. MMP-8 levels were elevated in saliva from patients after cardiac surgery or suffering from diabetes, and muscle and joint diseases. The levels of IL-1β, IL-8 and MMP-8, as well as the MMP-8/TIMP-1 ratio were higher in subjects with muscle and joint diseases. CONCLUSION: Biomarkers in saliva have the potential to be used for screening purposes in epidemiological studies. The relatively unspecific inflammatory markers used in this study can not be used for diagnosis of specific diseases but can be seen as markers for increased systemic inflammation.

  8. Biomarker in archaeological soils

    Science.gov (United States)

    Wiedner, Katja; Glaser, Bruno; Schneeweiß, Jens

    2015-04-01

    The use of biomarkers in an archaeological context allow deeper insights into the understanding of anthropogenic (dark) earth formation and from an archaeological point of view, a completely new perspective on cultivation practices in the historic past. During an archaeological excavation of a Slavic settlement (10th/11th C. A.D.) in Brünkendorf (Wendland region in Northern Germany), a thick black soil (Nordic Dark Earth) was discovered that resembled the famous terra preta phenomenon. For the humid tropics, terra preta could act as model for sustainable agricultural practices and as example for long-term CO2-sequestration into terrestrial ecosystems. The question was whether this Nordic Dark Earth had similar properties and genesis as the famous Amazonian Dark Earth in order to find a model for sustainable agricultural practices and long term CO2-sequestration in temperate zones. For this purpose, a multi-analytical approach was used to characterize the sandy-textured Nordic Dark Earth in comparison to less anthropogenically influenced soils in the adjacent area in respect of ecological conditions (e.g. amino sugar), input materials (faeces) and the presence of stable soil organic matter (black carbon). Amino sugar analyses showed that Nordic Dark Earth contained higher amounts of microbial residues being dominated by soil fungi. Faecal biomarkers such as stanols and bile acids indicated animal manure from omnivores and herbivores but also human excrements. Black carbon content of about 30 Mg ha-1 in the Nordic Dark Earth was about four times higher compared to the adjacent soil and in the same order of magnitude compared to terra preta. Our data strongly suggest parallels to anthropogenic soil formation in Amazonia and in Europe by input of organic wastes, faecal material and charred organic matter. An obvious difference was that in terra preta input of human-derived faecal material dominated while in NDE human-derived faecal material played only a minor role

  9. PSP/reg: a new stone in sepsis biomarkers?

    OpenAIRE

    Busani, Stefano; Girardis, Massimo

    2012-01-01

    Rapid diagnosis, appropriate management, and time are the key factors for improving survival rate in many emergency clinical scenarios such as acute myocardial infarction, pulmonary embolism, cerebral stroke, and severe sepsis. Clinical signs and electrocardiographic, radiological, and echographic investigations associated with biomarkers usually allow a quick diagnosis in all of the above situations, except severe sepsis, in which the diagnosis in the early phases is often only presumptive. ...

  10. Strategies for modern biomarker and drug development in oncology

    OpenAIRE

    Alan D. Smith; Roda, Desam; Yap, Timothy A.

    2014-01-01

    Technological advancements in the molecular characterization of cancers have enabled researchers to identify an increasing number of key molecular drivers of cancer progression. These discoveries have led to multiple novel anticancer therapeutics, and clinical benefit in selected patient populations. Despite this, the identification of clinically relevant predictive biomarkers of response continues to lag behind. In this review, we discuss strategies for the molecular characterization of canc...

  11. Personalized Medicine and Oncology Practice Guidelines: A Case Study of Contemporary Biomarkers in Colorectal Cancer

    OpenAIRE

    Kelley, Robin K; Van Bebber, Stephanie L; Phillips, Kathryn A; Venook, Alan P.

    2011-01-01

    Predictive and prognostic biomarkers offer a potential means to personalize cancer medicine, although many reach the marketplace before they have been validated, and their adoption is often hindered by variable clinical evidence. Because of this variability in supporting evidence, clinical practice guidelines formulated by panels of subspecialty experts may be particularly important in guiding stakeholders’ acceptance and use of new personalized medicine biomarker tests and other nascent tech...

  12. Cancer Salivary Biomarkers for Tumours Distant to the Oral Cavity

    Directory of Open Access Journals (Sweden)

    Óscar Rapado-González

    2016-09-01

    Full Text Available The analysis of saliva as a diagnostic approach for systemic diseases was proposed just two decades ago, but recently great interest in the field has emerged because of its revolutionary potential as a liquid biopsy and its usefulness as a non-invasive sampling method. Multiple molecules isolated in saliva have been proposed as cancer biomarkers for diagnosis, prognosis, drug monitoring and pharmacogenetic studies. In this review, we focus on the current status of the salivary diagnostic biomarkers for different cancers distant to the oral cavity, noting their potential use in the clinic and their applicability in personalising cancer therapies.

  13. Cancer Salivary Biomarkers for Tumours Distant to the Oral Cavity

    Science.gov (United States)

    Rapado-González, Óscar; Majem, Blanca; Muinelo-Romay, Laura; López-López, Rafa; Suarez-Cunqueiro, María Mercedes

    2016-01-01

    The analysis of saliva as a diagnostic approach for systemic diseases was proposed just two decades ago, but recently great interest in the field has emerged because of its revolutionary potential as a liquid biopsy and its usefulness as a non-invasive sampling method. Multiple molecules isolated in saliva have been proposed as cancer biomarkers for diagnosis, prognosis, drug monitoring and pharmacogenetic studies. In this review, we focus on the current status of the salivary diagnostic biomarkers for different cancers distant to the oral cavity, noting their potential use in the clinic and their applicability in personalising cancer therapies. PMID:27626410

  14. Cerebrospinal Fluid and Blood Biomarkers of Neuroaxonal Damage in Multiple Sclerosis

    Directory of Open Access Journals (Sweden)

    Irena Dujmovic

    2011-01-01

    Full Text Available Following emerging evidence that neurodegenerative processes in multiple sclerosis (MS are present from its early stages, an intensive scientific interest has been directed to biomarkers of neuro-axonal damage in body fluids of MS patients. Recent research has introduced new candidate biomarkers but also elucidated pathogenetic and clinical relevance of the well-known ones. This paper reviews the existing data on blood and cerebrospinal fluid biomarkers of neuroaxonal damage in MS and highlights their relation to clinical parameters, as well as their potential predictive value to estimate future disease course, disability, and treatment response. Strategies for future research in this field are suggested.

  15. Cardiac Biomarkers and Cycling Race

    OpenAIRE

    Caroline Le Goff, Jean-François Kaux, Sébastien Goffaux, Etienne Cavalier

    2015-01-01

    In cycling as in other types of strenuous exercise, there exists a risk of sudden death. It is important both to understand its causes and to see if the behavior of certain biomarkers might highlight athletes at risk. Many reports describe changes in biomarkers after strenuous exercise (Nie et al., 2011), but interpreting these changes, and notably distinguishing normal physiological responses from pathological changes, is not easy. Here we have focused on the kinetics of different cardiac bi...

  16. Biomarkers in Acute Lung Injury

    OpenAIRE

    Bhargava, Maneesh; Wendt, Chris

    2012-01-01

    Acute Respiratory Distress Syndrome (ARDS) and Acute Lung Injury (ALI) result in high permeability pulmonary edema causing hypoxic respiratory failure with high morbidity and mortality. As the population ages, the incidence of ALI is expected to rise. Over the last decade, several studies have identified biomarkers in plasma and bronchoalveolar lavage fluid providing important insights into the mechanisms involved in the pathophysiology of ALI. Several biomarkers have been validated in subjec...

  17. Analysis of biomarker data a practical guide

    CERN Document Server

    Looney, Stephen W

    2015-01-01

    A "how to" guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. The authors provide descriptions of select elementary statistical methods that are traditionally used to analyze biomarker data with a focus on the proper application of each method, including necessary assumptions, software recommendations, and proper interpretation of computer output. In addition, the book discusses

  18. Biomarkers for drug development in early psychosis: Current issues and promising directions.

    Science.gov (United States)

    Goff, Donald C; Romero, Klaus; Paul, Jeffrey; Mercedes Perez-Rodriguez, M; Crandall, David; Potkin, Steven G

    2016-06-01

    A major goal of current research in schizophrenia is to understand the biology underlying onset and early progression and to develop interventions that modify these processes. Biomarkers can play a critical role in identifying disease state, factors contributing to underlying progression, as well as predicting and monitoring response to treatment. Once biomarker-based therapeutics are established, biomarkers can guide treatment selection. It is increasingly clear that a wide range of potential biomarkers should be examined in schizophrenia, given the large number of genetic and environmental factors that have been identified as risk factors. New models for analysis of biomarkers are needed that represent the central nervous system as a highly complex, dynamic, and interactive system. Many tools are available with which to study relevant brain chemistry, but most are indirect measures and represent only a small fraction of the potential etiologic factors contributing to the molecular, structural and functional components of schizophrenia. This review represents the work of the International Society for CNS Clinical Trials and Methodology (ISCTM) Biomarkers Working Group. It discusses advantages and disadvantages of different categories of biomarkers and provides a summary of evidence that biomarkers representing inflammation, oxidative stress, endocannabinoids, glucocorticoid, and biogenic amines systems are dysregulated and potentially interactive in early phase schizophrenia. As has been recently demonstrated in several neurodevelopmental and neurodegenerative disorders, a multi-modal, longitudinal strategy involving a diverse array of biomarkers and new approaches to statistical modeling are needed to improve early interventions based on the fuller understanding. PMID:27005595

  19. A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers

    Science.gov (United States)

    Bennett, David A.; Blennow, Kaj; Carrillo, Maria C.; Feldman, Howard H.; Frisoni, Giovanni B.; Hampel, Harald; Jagust, William J.; Johnson, Keith A.; Knopman, David S.; Petersen, Ronald C.; Scheltens, Philip; Sperling, Reisa A.; Dubois, Bruno

    2016-01-01

    Biomarkers have become an essential component of Alzheimer disease (AD) research and because of the pervasiveness of AD pathology in the elderly, the same biomarkers are used in cognitive aging research. A number of current issues suggest that an unbiased descriptive classification scheme for these biomarkers would be useful. We propose the “A/T/N” system in which 7 major AD biomarkers are divided into 3 binary categories based on the nature of the pathophysiology that each measures. “A” refers to the value of a β-amyloid biomarker (amyloid PET or CSF Aβ42); “T,” the value of a tau biomarker (CSF phospho tau, or tau PET); and “N,” biomarkers of neurodegeneration or neuronal injury ([18F]-fluorodeoxyglucose–PET, structural MRI, or CSF total tau). Each biomarker category is rated as positive or negative. An individual score might appear as A+/T+/N−, or A+/T−/N−, etc. The A/T/N system includes the new modality tau PET. It is agnostic to the temporal ordering of mechanisms underlying AD pathogenesis. It includes all individuals in any population regardless of the mix of biomarker findings and therefore is suited to population studies of cognitive aging. It does not specify disease labels and thus is not a diagnostic classification system. It is a descriptive system for categorizing multidomain biomarker findings at the individual person level in a format that is easy to understand and use. Given the present lack of consensus among AD specialists on terminology across the clinically normal to dementia spectrum, a biomarker classification scheme will have broadest acceptance if it is independent from any one clinically defined diagnostic scheme. PMID:27371494

  20. A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers.

    Science.gov (United States)

    Jack, Clifford R; Bennett, David A; Blennow, Kaj; Carrillo, Maria C; Feldman, Howard H; Frisoni, Giovanni B; Hampel, Harald; Jagust, William J; Johnson, Keith A; Knopman, David S; Petersen, Ronald C; Scheltens, Philip; Sperling, Reisa A; Dubois, Bruno

    2016-08-01

    Biomarkers have become an essential component of Alzheimer disease (AD) research and because of the pervasiveness of AD pathology in the elderly, the same biomarkers are used in cognitive aging research. A number of current issues suggest that an unbiased descriptive classification scheme for these biomarkers would be useful. We propose the "A/T/N" system in which 7 major AD biomarkers are divided into 3 binary categories based on the nature of the pathophysiology that each measures. "A" refers to the value of a β-amyloid biomarker (amyloid PET or CSF Aβ42); "T," the value of a tau biomarker (CSF phospho tau, or tau PET); and "N," biomarkers of neurodegeneration or neuronal injury ([(18)F]-fluorodeoxyglucose-PET, structural MRI, or CSF total tau). Each biomarker category is rated as positive or negative. An individual score might appear as A+/T+/N-, or A+/T-/N-, etc. The A/T/N system includes the new modality tau PET. It is agnostic to the temporal ordering of mechanisms underlying AD pathogenesis. It includes all individuals in any population regardless of the mix of biomarker findings and therefore is suited to population studies of cognitive aging. It does not specify disease labels and thus is not a diagnostic classification system. It is a descriptive system for categorizing multidomain biomarker findings at the individual person level in a format that is easy to understand and use. Given the present lack of consensus among AD specialists on terminology across the clinically normal to dementia spectrum, a biomarker classification scheme will have broadest acceptance if it is independent from any one clinically defined diagnostic scheme. PMID:27371494

  1. Current advances in biomarkers for targeted therapy in triple-negative breast cancer

    Directory of Open Access Journals (Sweden)

    Fleisher B

    2016-10-01

    Full Text Available Brett Fleisher,1 Charlotte Clarke,2 Sihem Ait-Oudhia1 1Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, 2Department of Translational Research, UT MD Anderson Cancer Center, Houston, TX, USA Abstract: Triple-negative breast cancer (TNBC is a complex heterogeneous disease characterized by the absence of three hallmark receptors: human epidermal growth factor receptor 2, estrogen receptor, and progesterone receptor. Compared to other breast cancer subtypes, TNBC is more aggressive, has a higher prevalence in African-Americans, and more frequently affects younger patients. Currently, TNBC lacks clinically accepted targets for tailored therapy, warranting the need for candidate biomarkers. BiomarkerBase, an online platform used to find biomarkers reported in clinical trials, was utilized to screen all potential biomarkers for TNBC and select only the ones registered in completed TNBC trials through clinicaltrials.gov. The selected candidate biomarkers were classified as surrogate, prognostic, predictive, or pharmacodynamic (PD and organized by location in the blood, on the cell surface, in the cytoplasm, or in the nucleus. Blood biomarkers include vascular endothelial growth factor/vascular endothelial growth factor receptor and interleukin-8 (IL-­8; cell surface biomarkers include EGFR, insulin-like growth factor binding protein, c-Kit, c-Met, and PD-L1; cytoplasm biomarkers include PIK3CA, pAKT/S6/p4E-BP1, PTEN, ALDH1, and the PIK3CA/AKT/mTOR-related metabolites; and nucleus biomarkers include BRCA1, the glucocorticoid receptor, TP53, and Ki67. Candidate biomarkers were further organized into a “cellular protein network” that demonstrates potential connectivity. This review provides an inventory and reference point for promising biomarkers for breakthrough targeted therapies in TNBC. Keywords: anti-cancer directed pharmacotherapy, difficult

  2. Human Cervicovaginal Fluid Biomarkers to Predict Term and Preterm Labour

    Directory of Open Access Journals (Sweden)

    Yujing Jan Heng

    2015-05-01

    Full Text Available Preterm birth (PTB; birth before 37 completed weeks of gestation remains the major cause of neonatal morbidity and mortality. The current generation of biomarkers predictive of PTB have limited utility. In pregnancy, the human cervicovaginal fluid (CVF proteome is a reflection of the local biochemical milieu and is influenced by the physical changes occurring in the vagina, cervix and adjacent overlying fetal membranes. Term and preterm labour (PTL share common pathways of cervical ripening, myometrial activation and fetal membranes rupture leading to birth. We therefore hypothesise that CVF biomarkers predictive of labour may be similar in both the term and preterm labour setting. In this review, we summarise some of the existing published literature as well as our team’s breadth of work utilising the CVF for the discovery and validation of putative CVF biomarkers predictive of human labour.Our team established an efficient method for collecting serial CVF samples for optimal 2-dimensional gel electrophoresis resolution and analysis. We first embarked on CVF biomarker discovery for the prediction of spontaneous onset of term labour using 2D-electrophoresis and solution array multiple analyte profiling. 2D-electrophoretic analyses were subsequently performed on CVF samples associated with PTB. Several proteins have been successfully validated and demonstrate that these biomarkers are associated with term and PTL and may be predictive of both term and PTL. In addition, the measurement of these putative biomarkers was found to be robust to the influences of vaginal microflora and/or semen. The future development of a multiple biomarker bed-side test would help improve the prediction of PTB and the clinical management of patients.

  3. Biomarkers of Nutrition for Development (BOND)-Vitamin A Review.

    Science.gov (United States)

    Tanumihardjo, Sherry A; Russell, Robert M; Stephensen, Charles B; Gannon, Bryan M; Craft, Neal E; Haskell, Marjorie J; Lietz, Georg; Schulze, Kerry; Raiten, Daniel J

    2016-09-01

    The Biomarkers of Nutrition for Development (BOND) project is designed to provide evidence-informed advice to anyone with an interest in the role of nutrition in health. The BOND program provides information with regard to selection, use, and interpretation of biomarkers of nutrient exposure, status, function, and effect, which will be especially useful for readers who want to assess nutrient status. To accomplish this objective, expert panels are recruited to evaluate the literature and to draft comprehensive reports on the current state of the art with regard to specific nutrient biology and available biomarkers for assessing nutritional status at the individual and population levels. Phase I of the BOND project includes the evaluation of biomarkers for 6 nutrients: iodine, folate, zinc, iron, vitamin A, and vitamin B-12. This review of vitamin A is the current article in this series. Although the vitamin was discovered >100 y ago, vitamin A status assessment is not trivial. Serum retinol concentrations are under homeostatic control due in part to vitamin A's use in the body for growth and cellular differentiation and because of its toxic properties at high concentrations. Furthermore, serum retinol concentrations are depressed during infection and inflammation because retinol-binding protein (RBP) is a negative acute-phase reactant, which makes status assessment challenging. Thus, this review describes the clinical and functional indicators related to eye health and biochemical biomarkers of vitamin A status (i.e., serum retinol, RBP, breast-milk retinol, dose-response tests, isotope dilution methodology, and serum retinyl esters). These biomarkers are then related to liver vitamin A concentrations, which are usually considered the gold standard for vitamin A status. With regard to biomarkers, future research questions and gaps in our current understanding as well as limitations of the methods are described. PMID:27511929

  4. IL8 and Cathepsin B as Melanoma Serum Biomarkers

    Directory of Open Access Journals (Sweden)

    Xiaowei Xu

    2011-02-01

    Full Text Available Melanoma accounts for only a small portion of skin cancer but it is associated with high mortality. Melanoma serum biomarkers that may aid early diagnosis or guide therapy are needed clinically. However, studies of serum biomarkers have often been hampered by the serum interference that causes false readouts in immunological tests. Here we show that, after using a special buffer to eliminate the serum interference, IL-8 and cathepsin B levels were significantly elevated in melanoma patients (p < 0.05. More importantly, the combination of IL-8 and cathepsin B were also studied as a prognosis marker for melanoma mortality. Our study provides a novel approach to examine serum biomarkers.

  5. Neuroimaging biomarkers for Parkinson disease: facts and fantasy.

    Science.gov (United States)

    Perlmutter, Joel S; Norris, Scott A

    2014-12-01

    In this grand rounds, we focus on development, validation, and application of neuroimaging biomarkers for Parkinson disease (PD). We cover whether such biomarkers can be used to identify presymptomatic individuals (probably yes), provide a measure of PD severity (in a limited fashion, but frequently done poorly), investigate pathophysiology of parkinsonian disorders (yes, if done carefully), play a role in differential diagnosis of parkinsonism (not well), and investigate pathology underlying cognitive impairment (yes, in conjunction with postmortem data). Along the way, we clarify several issues about definitions of biomarkers and surrogate endpoints. The goal of this lecture is to provide a basis for interpreting current literature and newly proposed clinical tools in PD. In the end, one should be able to critically distinguish fact from fantasy. PMID:25363872

  6. Detection of novel biomarkers of liver cirrhosis by proteomic analysis

    DEFF Research Database (Denmark)

    Mölleken, Christian; Sitek, Barbara; Henkel, Corinna;

    2009-01-01

    Hepatic cirrhosis is a life-threatening disease arising from different chronic liver disorders. One major cause for hepatic cirrhosis is chronic hepatitis C. Chronic hepatitis C is characterized by a highly variable clinical course, with at least 20% developing liver cirrhosis within 40 years. Only...... serum levels in patients with hepatic cirrhosis of different causes. CONCLUSION: A quantitative analysis of MFAP-4 serum levels in a large number of patients showed MFAP-4 as novel candidate biomarker with high diagnostic accuracy for prediction of nondiseased liver versus cirrhosis [area under receiver...... liver biopsy allows a reliable evaluation of the course of hepatitis C by grading inflammation and staging fibrosis, and thus serum biomarkers for hepatic fibrosis with high sensitivity and specificity are needed. To identify new candidate biomarkers for hepatic fibrosis, we performed a proteomic...

  7. Serum pharmacodynamic biomarkers for chronic corticosteroid treatment of children.

    Science.gov (United States)

    Hathout, Yetrib; Conklin, Laurie S; Seol, Haeri; Gordish-Dressman, Heather; Brown, Kristy J; Morgenroth, Lauren P; Nagaraju, Kanneboyina; Heier, Christopher R; Damsker, Jesse M; van den Anker, John N; Henricson, Erik; Clemens, Paula R; Mah, Jean K; McDonald, Craig; Hoffman, Eric P

    2016-01-01

    Corticosteroids are extensively used in pediatrics, yet the burden of side effects is significant. Availability of a simple, fast, and reliable biochemical read out of steroidal drug pharmacodynamics could enable a rapid and objective assessment of safety and efficacy of corticosteroids and aid development of corticosteroid replacement drugs. To identify potential corticosteroid responsive biomarkers we performed proteome profiling of serum samples from DMD and IBD patients with and without corticosteroid treatment using SOMAscan aptamer panel testing 1,129 proteins in leptin, afamin), stunting of growth (growth hormone binding protein), and connective tissue remodeling (MMP3). Significant suppression of multiple adrenal steroid hormones was also seen in treated children (reductions of 17-hydroxyprogesterone, corticosterone, 11-deoxycortisol and testosterone). A panel of new pharmacodynamic biomarkers for corticosteroids in children was defined. Future studies will need to bridge specific biomarkers to mechanism of drug action, and specific clinical outcomes. PMID:27530235

  8. Biomarkers and staging of bipolar disorder: a systematic review

    Directory of Open Access Journals (Sweden)

    Ângela Roda

    2015-03-01

    Full Text Available INTRODUCTION: A growing body of evidence suggests that bipolar disorder (BD is a progressive disease according to clinical, biochemical and neuroimaging findings. This study reviewed the literature on the relationship between specific biomarkers and BD stages.METHODS: A comprehensive literature search of MEDLINE and PubMed was conducted to identify studies in English and Portuguese using the keywords biomarker, neurotrophic factors, inflammation, oxidative stress, neuroprogression and staging models cross-referenced with bipolar disorder.RESULTS: Morphometric studies of patients with BD found neuroanatomic abnormalities, such as ventricular enlargement, grey matter loss in the hippocampus and cerebellum, volume decreases in the prefrontal cortex and variations in the size of the amygdala. Other studies demonstrated that serum concentrations of neurotrophic factors, inflammatory mediators and oxidative stress may be used as BD biomarkers.CONCLUSIONS: The analysis of neurobiological changes associated with BD progression and activity may confirm the existence of BD biomarkers, which may be then included in staging models that will lead to improvements in treatment algorithms and more effective, individually tailored treatment regimens. Biomarkers may also be used to define early interventions to control disease progression.

  9. Biomarkers in Multiple Sclerosis: An Up-to-Date Overview

    Directory of Open Access Journals (Sweden)

    Serafeim Katsavos

    2013-01-01

    Full Text Available During the last decades, the effort of establishing satisfactory biomarkers for multiple sclerosis has been proven to be very difficult, due to the clinical and pathophysiological complexities of the disease. Recent knowledge acquired in the domains of genomics-immunogenetics and neuroimmunology, as well as the evolution in neuroimaging, has provided a whole new list of biomarkers. This variety, though, leads inevitably to confusion in the effort of decision making concerning strategic and individualized therapeutics. In this paper, our primary goal is to provide the reader with a list of the most important characteristics that a biomarker must possess in order to be considered as reliable. Additionally, up-to-date biomarkers are further divided into three subgroups, genetic-immunogenetic, laboratorial, and imaging. The most important representatives of each category are presented in the text and for the first time in a summarizing workable table, in a critical way, estimating their diagnostic potential and their efficacy to correlate with phenotypical expression, neuroinflammation, neurodegeneration, disability, and therapeutical response. Special attention is given to the “gold standards” of each category, like HLA-DRB1* polymorphisms, oligoclonal bands, vitamin D, and conventional and nonconventional imaging techniques. Moreover, not adequately established but quite promising, recently characterized biomarkers, like TOB-1 polymorphisms, are further discussed.

  10. Huntington disease: natural history, biomarkers and prospects for therapeutics.

    Science.gov (United States)

    Ross, Christopher A; Aylward, Elizabeth H; Wild, Edward J; Langbehn, Douglas R; Long, Jeffrey D; Warner, John H; Scahill, Rachael I; Leavitt, Blair R; Stout, Julie C; Paulsen, Jane S; Reilmann, Ralf; Unschuld, Paul G; Wexler, Alice; Margolis, Russell L; Tabrizi, Sarah J

    2014-04-01

    Huntington disease (HD) can be seen as a model neurodegenerative disorder, in that it is caused by a single genetic mutation and is amenable to predictive genetic testing, with estimation of years to predicted onset, enabling the entire range of disease natural history to be studied. Structural neuroimaging biomarkers show that progressive regional brain atrophy begins many years before the emergence of diagnosable signs and symptoms of HD, and continues steadily during the symptomatic or 'manifest' period. The continued development of functional, neurochemical and other biomarkers raises hopes that these biomarkers might be useful for future trials of disease-modifying therapeutics to delay the onset and slow the progression of HD. Such advances could herald a new era of personalized preventive therapeutics. We describe the natural history of HD, including the timing of emergence of motor, cognitive and emotional impairments, and the techniques that are used to assess these features. Building on this information, we review recent progress in the development of biomarkers for HD, and potential future roles of these biomarkers in clinical trials.

  11. Mechanism-based bioanalysis and biomarkers for hepatic chemical stress.

    Science.gov (United States)

    Antoine, D J; Mercer, A E; Williams, D P; Park, B K

    2009-08-01

    Adverse drug reactions, in particular drug-induced hepatotoxicity, represent a major challenge for clinicians and an impediment to safe drug development. Novel blood or urinary biomarkers of chemically-induced hepatic stress also hold great potential to provide information about pathways leading to cell death within tissues. The earlier pre-clinical identification of potential hepatotoxins and non-invasive diagnosis of susceptible patients, prior to overt liver disease is an important goal. Moreover, the identification, validation and qualification of biomarkers that have in vitro, in vivo and clinical transferability can assist bridging studies and accelerate the pace of drug development. Drug-induced chemical stress is a multi-factorial process, the kinetics of the interaction between the hepatotoxin and the cellular macromolecules are crucially important as different biomarkers will appear over time. The sensitivity of the bioanalytical techniques used to detect biological and chemical biomarkers underpins the usefulness of the marker in question. An integrated analysis of the biochemical, molecular and cellular events provides an understanding of biological (host) factors which ultimately determine the balance between xenobiotic detoxification, adaptation and liver injury. The aim of this review is to summarise the potential of novel mechanism-based biomarkers of hepatic stress which provide information to connect the intracellular events (drug metabolism, organelle, cell and whole organ) ultimately leading to tissue damage (apoptosis, necrosis and inflammation). These biomarkers can provide both the means to inform the pharmacologist and chemist with respect to safe drug design, and provide clinicians with valuable tools for patient monitoring. PMID:19621999

  12. Non-Small Cell Carcinoma Biomarker Testing: The Pathologist's Perspective.

    Directory of Open Access Journals (Sweden)

    Elisa eBrega

    2014-07-01

    Full Text Available Biomarker testing has become standard of care for patients diagnosed with non-small cell lung cancer. Although it can be successfully performed in circulating tu-mor cells, at present, the vast majority of investigations are carried out using di-rect tumor sampling, either through aspiration methods, which render most often isolated cells, or tissue sampling, that could range from minute biopsies to large resections. Consequently, pathologists play a central role in this process. Recent evidence suggests that refining NSCLC diagnosis might be clinically signifi-cant, particularly in cases of lung adenocarcinomas (ADC, which in turn, has prompted a new proposal for the histologic classification of such pulmonary neo-plasms. These changes, in conjunction with the mandatory incorporation of biomarker testing in routine NSCLC tissue processing, have directly affected the pathologist’s role in lung cancer work-up. This new role pathologists must play is complex and demanding, and requires a close interaction with surgeons, oncologists, radiologists and molecular pathologists. Pathologists often find themselves as the central figure in the coordination of a process, that involves assuring that the tumor samples are properly fixed, but without disruption of the DNA structure, obtaining the proper diagnosis with a minimum of tissue waste, providing pre-analytical evaluation of tumor samples selected for biomarker testing, which includes assessment of the proportion of tumor to normal tissues, as well as cell viability, and assuring that this entire pro-cess happens in a timely fashion. Therefore, it is part of the pathologist’s respon-sibilities to assure that the samples received in their laboratories, be processed in a manner that allows for optimal biomarker testing. This article goal is to discuss the essential role pathologists must play NSCLC bi-omarker testing, as well as to provide a summarized review of the main NSCLC bi-omarkers of

  13. Current application of proteomics in biomarker discoveryfor inflammatory bowel disease

    Institute of Scientific and Technical Information of China (English)

    2016-01-01

    Recently, the field of proteomics has rapidly expanded inits application towards clinical research with objectivesranging from elucidating disease pathogenesis todiscovering clinical biomarkers. As proteins governand/or reflect underlying cellular processes, the studyof proteomics provides an attractive avenue for researchas it allows for the rapid identification of proteinprofiles in a biological sample. Inflammatory boweldisease (IBD) encompasses several heterogeneousand chronic conditions of the gastrointestinal tract.Proteomic technology provides a powerful means ofaddressing major challenges in IBD today, especiallyfor identifying biomarkers to improve its diagnosis andmanagement. This review will examine the current stateof IBD proteomics research and its use in biomarkerresearch. Furthermore, we also discuss the challengesof translating proteomic research into clinically relevanttools. The potential application of this growing field isenormous and is likely to provide significant insightstowards improving our future understanding and managementof IBD.

  14. Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies.

    Science.gov (United States)

    Skates, Steven J; Gillette, Michael A; LaBaer, Joshua; Carr, Steven A; Anderson, Leigh; Liebler, Daniel C; Ransohoff, David; Rifai, Nader; Kondratovich, Marina; Težak, Živana; Mansfield, Elizabeth; Oberg, Ann L; Wright, Ian; Barnes, Grady; Gail, Mitchell; Mesri, Mehdi; Kinsinger, Christopher R; Rodriguez, Henry; Boja, Emily S

    2013-12-01

    Protein biomarkers are needed to deepen our understanding of cancer biology and to improve our ability to diagnose, monitor, and treat cancers. Important analytical and clinical hurdles must be overcome to allow the most promising protein biomarker candidates to advance into clinical validation studies. Although contemporary proteomics technologies support the measurement of large numbers of proteins in individual clinical specimens, sample throughput remains comparatively low. This problem is amplified in typical clinical proteomics research studies, which routinely suffer from a lack of proper experimental design, resulting in analysis of too few biospecimens to achieve adequate statistical power at each stage of a biomarker pipeline. To address this critical shortcoming, a joint workshop was held by the National Cancer Institute (NCI), National Heart, Lung, and Blood Institute (NHLBI), and American Association for Clinical Chemistry (AACC) with participation from the U.S. Food and Drug Administration (FDA). An important output from the workshop was a statistical framework for the design of biomarker discovery and verification studies. Herein, we describe the use of quantitative clinical judgments to set statistical criteria for clinical relevance and the development of an approach to calculate biospecimen sample size for proteomic studies in discovery and verification stages prior to clinical validation stage. This represents a first step toward building a consensus on quantitative criteria for statistical design of proteomics biomarker discovery and verification research.

  15. The Search for Biomarkers in Alzheimer's Disease

    Directory of Open Access Journals (Sweden)

    Anna Meiliana

    2010-04-01

    Full Text Available BACKGROUND: As population demographic shift and the number of individuals with Alzheimer Disease (AD continue to increase, the challenge is to develop targeted, effective treatments and our ability to recognize early symptoms. In view of this, the need for specific AD biomarker is crucial. CONTENT: In recent years it has become evident that CSF concentrations of some brain-specific proteins are related to underlying disease pathogenesis and may therefore aid clinical investigation. Among several, we have focused on three candidates that have been suggested to fulfil the requirements for biomarkers of AD: β-amyloid 42 (Aβ42, total Tau (T-tau and tau phosphorylated at various epitopes (P-tau. An increasing number of studies suggest that supplementary use of these CSF markers, preferably in combination, adds to the accuracy of an AD diagnosis. More recently visinin-like protein (VLP-1, a marker for neuronal cell injury has been studied. CSF VLP-1 concentrations were 50% higher in AD patients than in the control population. SUMMARY: The number of studies aimed at the identification of new biomarkers for AD is expected to increase rapidly, not only because of the increasing insights into the pathological mechanisms underlying this disease, but also because new therapies have been developed or are under consideration now, which warrant an early and specific diagnosis for effective treatment of the patients. KEYWORDS: dementia, amyloid plaque, neurofibrillary tangels, amyloid β-peptide 42 (Aβ42, total tau (T-tau, phosphorylated tau (P-tau, visinin–like protein 1 (VLP-1.

  16. Advances in Gas Chromatographic Methods for the Identification of Biomarkers in Cancer

    Directory of Open Access Journals (Sweden)

    Konstantinos A. Kouremenos, Mikael Johansson, Philip J. Marriott

    2012-01-01

    Full Text Available Screening complex biological specimens such as exhaled air, tissue, blood and urine to identify biomarkers in different forms of cancer has become increasingly popular over the last decade, mainly due to new instruments and improved bioinformatics. However, despite some progress, the identification of biomarkers has shown to be a difficult task with few new biomarkers (excluding recent genetic markers being considered for introduction to clinical analysis. This review describes recent advances in gas chromatographic methods for the identification of biomarkers in the detection, diagnosis and treatment of cancer. It presents a general overview of cancer metabolism, the current biomarkers used for cancer diagnosis and treatment, a background to metabolic changes in tumors, an overview of current GC methods, and collectively presents the scope and outlook of GC methods in oncology.

  17. Circulating microRNAs as Prognostic and Predictive Biomarkers in Patients with Colorectal Cancer

    Directory of Open Access Journals (Sweden)

    Jakob Vasehus Schou

    2016-06-01

    Full Text Available MiRNAs are suggested as promising cancer biomarkers. They are stable and extractable from a variety of clinical tissue specimens (fresh frozen or formalin fixed paraffin embedded tissue and a variety of body fluids (e.g., blood, urine, saliva. However, there are several challenges that need to be solved, considering their potential as biomarkers in cancer, such as lack of consistency between biomarker panels in independent studies due to lack of standardized sample handling and processing, use of inconsistent normalization approaches, and differences in patients populations. Focusing on colorectal cancer (CRC, divergent results regarding circulating miRNAs as prognostic or predictive biomarkers are reported in the literature. In the present review, we summarize the current data on circulating miRNAs as prognostic/predictive biomarkers in patients with localized and metastatic CRC (mCRC.

  18. Biomarkers of Guillain-Barré Syndrome: Some Recent Progress, More Still to Be Explored

    Directory of Open Access Journals (Sweden)

    Ying Wang

    2015-01-01

    Full Text Available Guillain-Barré syndrome (GBS, the axonal subtype of which is mainly triggered by C. jejuni with ganglioside-mimicking lipooligosaccharides (LOS, is an immune-mediated disorder in the peripheral nervous system (PNS accompanied by the disruption of the blood-nerve barrier (BNB and the blood-cerebrospinal fluid barrier (B-CSF-B. Biomarkers of GBS have been extensively explored and some of them are proved to assist in the clinical diagnosis and in monitoring disease progression as well as in assessing the efficacy of immunotherapy. Herein, we systemically review the literature on biomarkers of GBS, including infection-/immune-/BNB, B-CSF-B, and PNS damage-associated biomarkers, aiming at providing an overview of GBS biomarkers and guiding further investigations. Furthermore, we point out further directions for studies on GBS biomarkers.

  19. Biopsable neural tissues: toward new biomarkers for Parkinson’s disease?

    Directory of Open Access Journals (Sweden)

    Thibaud Lebouvier

    2010-09-01

    Full Text Available Biomarkers for Parkinson’s disease (PD are mainly intended for the early diagnosis of the disease and to monitor its progression, two aspects insufficiently covered by clinical evaluation. In the last 20 years, the search for biomarkers has been supported by technological advances in the fields of molecular genetics and neuroimaging. Nevertheless, no fully validated biomarker is yet available, and there is still a need for biomarkers that will complement those already available. Development of biomarkers for PD has been hampered by the fact that the core pathology lies in the brainstem, hidden from direct study in living patients. In this context, the recent observations that clearly demonstrated the presence of PD pathology in peripheral neural tissues provide new opportunities to develop original histopathological markers of the disease. Some of these peripheral tissues, especially the enteric nervous system, by being assessable using routine biopsies, could represent a window to assess in vivo the neuropathological processes occurring in PD.

  20. Cognitive impairment and major depressive disorder in HIV infection and cerebrospinal fluid biomarkers

    Directory of Open Access Journals (Sweden)

    Sergio Monteiro de Almeida

    2013-09-01

    Full Text Available Cognitive impairment and major depressive disorder (MDD are common HIV-1 central nervous system (CNS complications. Their frequencies in AIDS patients are 36% and 45%, respectively. The diagnoses of HIV cognitive impairment are made by clinical criteria, no single laboratory test or biomarker establishes the diagnosis. Factors of indirect neuronal injury related with the pathophysiology of the HIV infection in the CNS, are the factors studied as biomarkers. In the present no biomarker is established to the diagnosis of HIV cognitive impairment, much still needs to be done. We review in this paper some biomarkers in cerebrospinal fluid that could be valuable to the diagnosis of HIV cognitive impairment. Diagnosing depression in the context of HIV can be challenging, to identify a biomarker that could help in the diagnosis would be very important, although MDD risks and neurobiology are still poorly understood.

  1. Biomarkers of silicosis: Potential candidates

    Directory of Open Access Journals (Sweden)

    Tiwari R

    2005-01-01

    Full Text Available Silica dust is widely prevalent in the atmosphere and more common than the other types of dust, thus making silicosis the most frequently occurring pneumoconiosis. In India also, studies carried out by National Institute of Occupational Health have shown high prevalence of silicosis in small factories and even in nonoccupational exposed subjects. The postero-anterior chest radiographs remain the key tool in diagnosing and assessing the extent and severity of interstitial lung disease. Although Computed Tomography detects finer anatomical structure than radiography it could not get popularity because of its cost. On the basis of histological features of silicosis many potential biomarkers such as Cytokines, Tumor Necrosis Factor, Interleukin 1, Angiotensin Converting Enzyme, Serum Copper, Fas ligand (FasL, etc. have been tried. However, further studies are needed to establish these potential biomarkers as true biomarker of silicosis.

  2. Bias in Peripheral Depression Biomarkers

    DEFF Research Database (Denmark)

    Carvalho, André F; Köhler, Cristiano A; Brunoni, André R;

    2016-01-01

    BACKGROUND: To aid in the differentiation of individuals with major depressive disorder (MDD) from healthy controls, numerous peripheral biomarkers have been proposed. To date, no comprehensive evaluation of the existence of bias favoring the publication of significant results or inflating effect...... sizes has been conducted. METHODS: Here, we performed a comprehensive review of meta-analyses of peripheral nongenetic biomarkers that could discriminate individuals with MDD from nondepressed controls. PubMed/MEDLINE, EMBASE, and PsycINFO databases were searched through April 10, 2015. RESULTS: From 15......-analyses, while 11 meta-analyses had evidence of small-study effects. CONCLUSIONS: Our findings suggest that there is an excess of studies with statistically significant results in the literature of peripheral biomarkers for MDD. The selective publication of 'positive studies' and the selective reporting...

  3. Biomarkers in inflammatory bowel diseases

    DEFF Research Database (Denmark)

    Bennike, Tue; Birkelund, Svend; Stensballe, Allan;

    2014-01-01

    Unambiguous diagnosis of the two main forms of inflammatory bowel diseases (IBD): Ulcerative colitis (UC) and Crohn's disease (CD), represents a challenge in the early stages of the diseases. The diagnosis may be established several years after the debut of symptoms. Hence, protein biomarkers...... for early and accurate diagnostic could help clinicians improve treatment of the individual patients. Moreover, the biomarkers could aid physicians to predict disease courses and in this way, identify patients in need of intensive treatment. Patients with low risk of disease flares may avoid treatment...... with medications with the concomitant risk of adverse events. In addition, identification of disease and course specific biomarker profiles can be used to identify biological pathways involved in the disease development and treatment. Knowledge of disease mechanisms in general can lead to improved future...

  4. Multiple system atrophy: pathogenic mechanisms and biomarkers.

    Science.gov (United States)

    Jellinger, Kurt A; Wenning, Gregor K

    2016-06-01

    Multiple system atrophy (MSA) is a unique proteinopathy that differs from other α-synucleinopathies since the pathological process resulting from accumulation of aberrant α-synuclein (αSyn) involves the oligodendroglia rather than neurons, although both pathologies affect multiple parts of the brain, spinal cord, autonomic and peripheral nervous system. Both the etiology and pathogenesis of MSA are unknown, although animal models have provided insight into the basic molecular changes of this disorder. Accumulation of aberrant αSyn in oligodendroglial cells and preceded by relocation of p25α protein from myelin to oligodendroglia results in the formation of insoluble glial cytoplasmic inclusions that cause cell dysfunction and demise. These changes are associated with proteasomal, mitochondrial and lipid transport dysfunction, oxidative stress, reduced trophic transport, neuroinflammation and other noxious factors. Their complex interaction induces dysfunction of the oligodendroglial-myelin-axon-neuron complex, resulting in the system-specific pattern of neurodegeneration characterizing MSA as a synucleinopathy with oligodendroglio-neuronopathy. Propagation of modified toxic αSyn species from neurons to oligodendroglia by "prion-like" transfer and its spreading associated with neuronal pathways result in a multi-system involvement. No reliable biomarkers are currently available for the clinical diagnosis and prognosis of MSA. Multidisciplinary research to elucidate the genetic and molecular background of the deleterious cycle of noxious processes, to develop reliable diagnostic biomarkers and to deliver targets for effective treatment of this hitherto incurable disorder is urgently needed. PMID:27098666

  5. Diagnosis of Periodontal Diseases by Biomarkers

    Science.gov (United States)

    Kido, Jun-Ichi; Hino, Mami; Bando, Mika; Hiroshima, Yuka

    Many middle aged and old persons take periodontal diseases that mainly cause teeth loss and result in some systemic diseases. The prevention of periodontal diseases is very important for oral and systemic health, but the present diagnostic examination is not fully objective and suitable. To diagnose periodontal diseases exactly, some biomarkers shown inflammation, tissue degradation and bone resorption, in gingival crevicular fluid (GCF) and saliva are known. We demonstrated that GCF levels of calprotectin, inflammation-related protein, and carboxy-terminal propeptide of type I procollagen, bone metabolism-related protein, were associated with clinical condition of periodontal diseases, and suggested that these proteins may be useful biomarkers for periodontal diseases. Recently, determinations of genes and proteins by using microdevices are studied for diagnosis of some diseases. We detected calprotectin protein by chemiluminescent immunoassay on a microchip and showed the possibility of specific and quantitative detection of calprotectin in a very small amount of GCF. To determine plural markers in GCF by using microdevices contributes to develop accurate, objective diagnostic system of periodontal diseases.

  6. The Role of Biomarkers in Diverticular Disease.

    Science.gov (United States)

    Gallo, Antonella; Ianiro, Gianluca; Montalto, Massimo; Cammarota, Giovanni

    2016-10-01

    Diverticulosis of the colon is a common condition in western countries. Acute diverticulitis may occur in 10% to 25% of the patients, sometimes associated with the presence of complications such as abscess, fistula, and perforation. Early diagnosis and accurate assessment of acute diverticulitis are necessary to start an efficacious treatment promptly, either conservatively or by surgery. The clinical picture may mimic other abdominal conditions; therefore, imaging techniques such as ultrasound or computed tomography are usually recommended, although they are expensive, examiner dependent, and potentially harmful. Recently, there has been increasing interest about the role of biological markers in diverticular disease as noninvasive, reliable, and inexpensive tools, conceivably able to support physicians in the diagnosis, the assessment of activity, and the monitoring of acute diverticulitis. By a MEDLINE search, most of the relevant data derived from C-reactive protein showed that it strongly supported the diagnosis of acute diverticulitis at values of >50 mg/L. It also represents a stronger marker compared with other serum biomarkers, able to correlate with the histologic severity in acute diverticulitis, the risk of perforation, and the response to therapy. Regarding fecal biomarkers, an interesting role has been reported for fecal calprotectin. It significantly correlates with inflammatory infiltrate. More relevantly, it correlates with the response to therapy and may predict the recurrence of colonic diverticulitis, as it is reliable in detecting subclinical intestinal inflammation, as reported already for inflammatory bowel disease. These represent encouraging results, but need to be confirmed in further larger studies. PMID:27622356

  7. Integrative EEG biomarkers predict progression to Alzheimer's disease at the MCI stage

    Directory of Open Access Journals (Sweden)

    Simon-Shlomo ePoil

    2013-10-01

    Full Text Available Alzheimer's disease (AD is a devastating disorder of increasing prevalence in modern society. Mild cognitive impairment (MCI is considered a transitional stage between normal aging and AD; however, not all subjects with MCI progress to AD. Prediction of conversion to AD at an early stage would enable an earlier, and potentially more effective, treatment of AD. Electroencephalography (EEG biomarkers would provide a non-invasive and relatively cheap screening tool to predict conversion to AD; however, traditional EEG biomarkers have not been considered accurate enough to be useful in clinical practice. Here, we aim to combine the information from multiple EEG biomarkers into a diagnostic classification index in order to improve the accuracy of predicting conversion from MCI to AD within a two-year period. We followed 86 patients initially diagnosed with MCI for two years during which 25 patients converted to AD. We show that multiple EEG biomarkers mainly related to activity in the beta-frequency range (13–30 Hz can predict conversion from MCI to AD. Importantly, by integrating six EEG biomarkers into a diagnostic index using logistic regression the prediction improved compared with the classification using the individual biomarkers, with a sensitivity of 88% and specificity of 82%, compared with a sensitivity of 64% and specificity of 62% of the best individual biomarker in this index. In order to identify this diagnostic index we developed a data mining approach implemented in the Neurophysiological Biomarker Toolbox (http://www.nbtwiki.net/. We suggest that this approach can be used to identify optimal combinations of biomarkers (integrative biomarkers also in other modalities. Potentially, these integrative biomarkers could be more sensitive to disease progression and response to therapeutic intervention.

  8. Potential blood biomarkers for stroke.

    Science.gov (United States)

    Laborde, Carlos M; Mourino-Alvarez, Laura; Akerstrom, Finn; Padial, Luis R; Vivanco, Fernando; Gil-Dones, Felix; Barderas, Maria G

    2012-08-01

    Stroke is one of the most common causes of death worldwide and a major cause of acquired disability in adults. Despite advances in research during the last decade, prevention and treatment strategies still suffer from significant limitations, and therefore new theoretical and technical approaches are required. Technological advances in the proteomic and metabolomic areas, during recent years, have permitted a more effective search for novel biomarkers and therapeutic targets that may allow for effective risk stratification and early diagnosis with subsequent rapid treatment. This review provides a comprehensive overview of the latest candidate proteins and metabolites proposed as new potential biomarkers in stroke. PMID:22967080

  9. CSF biomarkers cutoffs: the importance of coincident neuropathological diseases.

    Science.gov (United States)

    Toledo, Jon B; Brettschneider, Johannes; Grossman, Murray; Arnold, Steven E; Hu, William T; Xie, Sharon X; Lee, Virginia M-Y; Shaw, Leslie M; Trojanowski, John Q

    2012-07-01

    The effects of applying clinical versus neuropathological diagnosis and the inclusion of cases with coincident neuropathological diagnoses have not been assessed specifically when studying cerebrospinal fluid (CSF) biomarker classification cutoffs for patients with neurodegenerative diseases that cause dementia. Thus, 142 neuropathologically diagnosed neurodegenerative dementia patients [71 Alzheimer's disease (AD), 29 frontotemporal lobar degeneration (FTLD), 3 amyotrophic lateral sclerosis, 7 dementia with Lewy bodies, 32 of which cases also had coincident diagnoses] were studied. 96 % had enzyme-linked immunosorbant assay (ELISA) CSF data and 77 % had Luminex CSF data, with 43 and 46 controls for comparison, respectively. Aβ(42), total, and phosphorylated tau(181) were measured. Clinical and neuropathological diagnoses showed an 81.4 % overall agreement. Both assays showed high sensitivity and specificity to classify AD subjects against FTLD subjects and controls, and moderate sensitivity and specificity for classifying FTLD subjects against controls. However, among the cases with neuropathological diagnoses of AD plus another pathology (26.8 % of the sample), 69.4 % (ELISA) and 96.4 % (Luminex) were classified as AD according to their biomarker profiles. Use of clinical diagnosis instead of neuropathological diagnosis led to a 14-17 % underestimation of the biomarker accuracy. These results show that while CSF Aβ and tau assays are useful for diagnosis of AD and neurodegenerative diseases even at MCI stages, CSF diagnostic analyte panels that establish a positive diagnosis of Lewy body disease and FTLD are also needed, and must be established based on neuropathological rather than clinical diagnoses.

  10. Discovery and development of DNA methylation-based biomarkers for lung cancer.

    Science.gov (United States)

    Walter, Kimberly; Holcomb, Thomas; Januario, Tom; Yauch, Robert L; Du, Pan; Bourgon, Richard; Seshagiri, Somasekar; Amler, Lukas C; Hampton, Garret M; S Shames, David

    2014-02-01

    Lung cancer remains the primary cause of cancer-related deaths worldwide. Improved tools for early detection and therapeutic stratification would be expected to increase the survival rate for this disease. Alterations in the molecular pathways that drive lung cancer, which include epigenetic modifications, may provide biomarkers to help address this major unmet clinical need. Epigenetic changes, which are defined as heritable changes in gene expression that do not alter the primary DNA sequence, are one of the hallmarks of cancer, and prevalent in all types of cancer. These modifications represent a rich source of biomarkers that have the potential to be implemented in clinical practice. This perspective describes recent advances in the discovery of epigenetic biomarkers in lung cancer, specifically those that result in the methylation of DNA at CpG sites. We discuss one approach for methylation-based biomarker assay development that describes the discovery at a genome-scale level, which addresses some of the practical considerations for design of assays that can be implemented in the clinic. We emphasize that an integrated technological approach will enable the development of clinically useful DNA methylation-based biomarker assays. While this article focuses on current literature and primary research findings in lung cancer, the principles we describe here apply to the discovery and development of epigenetic biomarkers for other types of cancer.

  11. Biomarker Detection using PS2-Thioaptamers Project

    Data.gov (United States)

    National Aeronautics and Space Administration — AM Biotechnologies (AM) will develop a system to detect and quantify bone demineralization biomarkers as outlined in SBIR Topic "Technologies to Detect Biomarkers"....

  12. Proteomics in Discovery of Hepatocellular Carcinoma Biomarkers

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Objective: To discover new proteomic biomarkers of hepatocellular carcinoma. Methods: Surface enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry was used to discover biomarkers for differentiating hepatocellular carcinoma and chronic liver disease. A population of 50 patients with hepatocellular carcinoma and 33 patients with chronic liver disease was studied. Results: Twelve proteomic biomarkers of hepatocellular carcinoma were detected in this study. Three proteomic biomarkers were highly expressed in hepatocellular carcinoma and nine proteomic biomarkers were highly expressed in chronic liver disease. The most valuable proteomic biomarker with m/z=11498 had no similar diagnostic value as α-fetoprotein. Conclusion:Some of the twelve proteomic biomarkers may become new biomarkers of hepatocellular carcinoma.

  13. Guidelines for uniform reporting of body fluid biomarker studies in neurologic disorders

    DEFF Research Database (Denmark)

    Gnanapavan, Sharmilee; Hegen, Harald; Khalil, Michael;

    2014-01-01

    OBJECTIVE: The aim of these guidelines is to make the process of reporting body fluid biomarker studies in neurologic disorders more uniform and transparent, in line with existing standards for reporting research in other biomedical areas. Although biomarkers have been around for decades, there a......OBJECTIVE: The aim of these guidelines is to make the process of reporting body fluid biomarker studies in neurologic disorders more uniform and transparent, in line with existing standards for reporting research in other biomedical areas. Although biomarkers have been around for decades......, there are concerns over the high attrition rate of promising candidate biomarkers at later phases of development. METHODS: BioMS-eu consortium, a collaborative network working toward improving the quality of biomarker research in neurologic disorders, discussed the merits of standardizing the reporting of body fluid...... of studies. This guideline by the BioMS-eu consortium is aimed at setting a standard for the reporting of future body fluid biomarker research studies in neurologic disorders. We anticipate that following these guidelines will help to accelerate the selection of biomarkers for clinical development....

  14. Biomarker Investigations Related to Pathophysiological Pathways in Schizophrenia and Psychosis

    Directory of Open Access Journals (Sweden)

    Gursharan eChana

    2013-06-01

    Full Text Available Post-mortem brain investigations of schizophrenia have generated swathes of data in the last few decades implicating candidate genes and proteins, the relation of these findings to peripheral biomarker indicators and symptomatology remain to be elucidated. While biomarkers for disease do not have to be involved with underlying pathophysiology and may be largely indicative of diagnosis or prognosis, the ideal may be a biomarker that is involved in underlying disease processes and which is therefore more likely to change with progression of the illness as well as potentially being more responsive to treatment. One of the main difficulties in conducting biomarker investigations for major psychiatric disorders is the relative inconsistency in clinical diagnoses between disorders such as bipolar and schizophrenia. This has led some researchers to investigate biomarkers associated with core symptoms of these disorders, such as psychosis. The aim of this review is to evaluate the contribution of post-mortem brain investigations to elucidating the pathophysiology pathways involved in schizophrenia and psychosis, with an emphasis on major neurotransmitter systems that have been implicated. This data will then be compared to functional neuroimaging findings as well as findings from blood based gene expression investigations in schizophrenia in order to highlight the relative overlap in pathological processes between these different modalities used to elucidate pathogenesis of schizophrenia. In addition we will cover some recent and exciting findings demonstrating microRNA dysregulation in both the blood and the brain in patients with schizophrenia. These changes are pertinent to the topic due to their known role in post-transcriptional modification of gene expression with the potential to contribute or underlie gene expression changes observed in schizophrenia. Finally, we will discuss how post-mortem studies may aid future biomarker investigations.

  15. Mass Spectrometry-Based Proteomics in Molecular Diagnostics: Discovery of Cancer Biomarkers Using Tissue Culture

    Directory of Open Access Journals (Sweden)

    Debasish Paul

    2013-01-01

    Full Text Available Accurate diagnosis and proper monitoring of cancer patients remain a key obstacle for successful cancer treatment and prevention. Therein comes the need for biomarker discovery, which is crucial to the current oncological and other clinical practices having the potential to impact the diagnosis and prognosis. In fact, most of the biomarkers have been discovered utilizing the proteomics-based approaches. Although high-throughput mass spectrometry-based proteomic approaches like SILAC, 2D-DIGE, and iTRAQ are filling up the pitfalls of the conventional techniques, still serum proteomics importunately poses hurdle in overcoming a wide range of protein concentrations, and also the availability of patient tissue samples is a limitation for the biomarker discovery. Thus, researchers have looked for alternatives, and profiling of candidate biomarkers through tissue culture of tumor cell lines comes up as a promising option. It is a rich source of tumor cell-derived proteins, thereby, representing a wide array of potential biomarkers. Interestingly, most of the clinical biomarkers in use today (CA 125, CA 15.3, CA 19.9, and PSA were discovered through tissue culture-based system and tissue extracts. This paper tries to emphasize the tissue culture-based discovery of candidate biomarkers through various mass spectrometry-based proteomic approaches.

  16. Biomarkers of postoperative delirium and cognitive dysfunction

    Directory of Open Access Journals (Sweden)

    Ganna eAndrosova

    2015-06-01

    Full Text Available Elderly surgical patients frequently experience postoperative delirium (POD and the subsequent development of postoperative cognitive dysfunction (POCD. Clinical features include deterioration in cognition, disturbance in attention and reduced awareness of the environment and result in higher morbidity, mortality and greater utilization of social financial assistance. The aging Western societies can expect an increase in the incidence of POD and POCD. The underlying pathophysiological mechanisms have been studied on the molecular level albeit with unsatisfying small research efforts given their societal burden. Here, we review the known physiological and immunological changes and genetic risk factors, identify candidates for further studies and integrate the information into a draft network for exploration on a systems level. The pathogenesis of these postoperative cognitive impairments is multifactorial; application of integrated systems biology has the potential to reconstruct the underlying network of molecular mechanisms and help in the identification of prognostic and diagnostic biomarkers.

  17. V-ets erythroblastosis virus E26 oncogene homolog (avian)/Trefoil factor 3/high-molecular-weight cytokeratin triple immunostain: a novel tissue-based biomarker in prostate cancer with potential clinical application.

    Science.gov (United States)

    Park, Kyung; Chiu, Ya-Lin; Rubin, Mark A; Demichelis, Francesca; Mosquera, Juan Miguel

    2013-10-01

    Trefoil factor 3 (TFF3) is associated with various cancers and overexpressed in a subset of prostate cancers. Functional studies suggest that v-ets erythroblastosis virus E26 oncogene homolog (avian) (ERG) down-regulates TFF3 expression in hormone-naïve prostate cancer. To characterize this inverse relationship, we developed a triple immunostain encompassing ERG, TFF3, and high-molecular-weight cytokeratin. Triple stain was performed on 96 tumors and 52 benign cases represented in tissue microarrays. Distinct ERG and TFF3 protein was expressed in 45% (43/96) and 36% (35/96) of prostate cancers, respectively. Coexpression was observed in 5% (5/96) of tumor cases, and 24% (23/96) did not express ERG or TFF3. The inverse expression of ERG and TFF3 was significant (P tumors demonstrating TFF3 expression. Sensitivity and specificity of combined ERG and TFF3 expression in detecting prostate cancer were 76% and 96%, respectively. The feasibility of triple immunostain protocol was validated in a set of 76 needle biopsies. The application of this multiplex in situ biomarker for molecular characterization of prostate cancer and as a supplemental diagnostic and prognostic tool in prostate needle biopsies should be further explored.

  18. Biomarkers of satiation and satiety

    NARCIS (Netherlands)

    Graaf, C. de; Blom, W.A.M.; Smeets, P.A.M.; Stafleu, A.; Hendriks, H.F.J.

    2004-01-01

    This review's objective is to give a critical summary of studies that focused on physiologic measures relating to subjectively rated appetite, actual food intake, or both. Biomarkers of satiation and satiety may be used as a tool for assessing the satiating efficiency of foods and for understanding

  19. Biomarkers in Cardiology - Part 2: In Coronary Heart Disease, Valve Disease and Special Situations

    Directory of Open Access Journals (Sweden)

    2015-05-01

    Full Text Available Cardiovascular diseases are the main causes of mortality and morbidity in Brazil. Their primary and secondary preventions are a priority for the health system and require multiple approaches for increased effectiveness. Biomarkers are tools used to identify with greater accuracy high-risk individuals, establish a faster diagnosis, guide treatment, and determine prognosis. This review aims to highlight the importance of biomarkers in clinical cardiology practice and raise relevant points regarding their application and perspectives for the next few years. This document was divided into two parts. This second part addresses the application of biomarkers in coronary heart disease, valvular diseases, cardio-oncology, pulmonary embolism, and cardiorenal syndrome.

  20. Recommendations to standardize preanalytical confounding factors in Alzheimer's and Parkinson's disease cerebrospinal fluid biomarkers

    DEFF Research Database (Denmark)

    del Campo, Marta; Mollenhauer, Brit; Bertolotto, Antonio;

    2012-01-01

    Early diagnosis of neurodegenerative disorders such as Alzheimer's (AD) or Parkinson's disease (PD) is needed to slow down or halt the disease at the earliest stage. Cerebrospinal fluid (CSF) biomarkers can be a good tool for early diagnosis. However, their use in clinical practice is challenging...... due to the high variability found between centers in the concentrations of both AD CSF biomarkers (Aβ42, total tau and phosphorylated tau) and PD CSF biomarker (α-synuclein). Such a variability has been partially attributed to different preanalytical procedures between laboratories, thus highlighting...

  1. Hemostatic biomarkers in dogs with chronic congestive heart failure

    DEFF Research Database (Denmark)

    Tarnow, Inge; Falk, Torkel; Tidholm, Anna;

    2007-01-01

    Background: Chronic congestive heart failure (CHF) in humans is associated with abnormal hemostasis, and abnormalities in hemostatic biomarkers carry a poor prognosis. Alterations in hemostatic pathways can be involved in the pathogenesis of CHF in dogs, and microthrombosis in the myocardium could...... contribute to increased mortality. Hypothesis: That plasma concentration or activity of hemostatic biomarkers is altered in dogs with CHF and that these factors predict mortality. Animals: Thirty-four dogs with CHF caused by either dilated cardiomyopathy (DCM, n = 14) or degenerative valvular disease (CDVD......, n = 20) compared with 23 healthy age-matched control dogs were included in this study. Dogs with CHF were recruited from 2 referral cardiology clinics, and control dogs were owned by friends or colleagues of the investigators. Methods: Clinical examination and echocardiography were performed in all...

  2. The potential role of biomarkers in predicting gestational diabetes

    Directory of Open Access Journals (Sweden)

    Huguette S Brink

    2016-08-01

    Full Text Available Gestational diabetes (GD is a frequent complication during pregnancy and is associated with maternal and neonatal complications. It is suggested that a disturbing environment for the foetus, such as impaired glucose metabolism during intrauterine life, may result in enduring epigenetic changes leading to increased disease risk in adult life. Hence, early prediction of GD is vital. Current risk prediction models are based on maternal and clinical parameters, lacking a strong predictive value. Adipokines are mainly produced by adipocytes and suggested to be a link between obesity and its cardiovascular complications. Various adipokines, including adiponectin, leptin and TNFα, have shown to be dysregulated in GD. This review aims to outline biomarkers potentially associated with the pathophysiology of GD and discuss the role of integrating predictive biomarkers in current clinical risk prediction models, in order to enhance the identification of those at risk.

  3. The potential role of biomarkers in predicting gestational diabetes.

    Science.gov (United States)

    Brink, Huguette S; van der Lely, Aart Jan; van der Linden, Joke

    2016-09-01

    Gestational diabetes (GD) is a frequent complication during pregnancy and is associated with maternal and neonatal complications. It is suggested that a disturbing environment for the foetus, such as impaired glucose metabolism during intrauterine life, may result in enduring epigenetic changes leading to increased disease risk in adult life. Hence, early prediction of GD is vital. Current risk prediction models are based on maternal and clinical parameters, lacking a strong predictive value. Adipokines are mainly produced by adipocytes and suggested to be a link between obesity and its cardiovascular complications. Various adipokines, including adiponectin, leptin and TNF&, have shown to be dysregulated in GD. This review aims to outline biomarkers potentially associated with the pathophysiology of GD and discuss the role of integrating predictive biomarkers in current clinical risk prediction models, in order to enhance the identification of those at risk. PMID:27492245

  4. Biomarkers of peripheral muscle fatigue during exercise

    Directory of Open Access Journals (Sweden)

    Finsterer Josef

    2012-11-01

    Full Text Available Abstract Background Biomarkers of peripheral muscle fatigue (BPMFs are used to offer insights into mechanisms of exhaustion during exercise in order to detect abnormal fatigue or to detect defective metabolic pathways. This review aims at describing recent advances and future perspectives concerning the most important biomarkers of muscle fatigue during exercise. Results BPMFs are classified according to the mechanism of fatigue related to adenosine-triphosphate-metabolism, acidosis, or oxidative-metabolism. Muscle fatigue is also related to an immunological response. impaired calcium handling, disturbances in bioenergetic pathways, and genetic responses. The immunological and genetic response may make the muscle susceptible to fatigue but may not directly cause muscle fatigue. Production of BPMFs is predominantly dependent on the type of exercise. BPMFs need to change as a function of the process being monitored, be stable without appreciable diurnal variations, correlate well with exercise intensity, and be present in detectable amounts in easily accessible biological fluids. The most well-known BPMFs are serum lactate and interleukin-6. The most widely applied clinical application is screening for defective oxidative metabolism in mitochondrial disorders by means of the lactate stress test. The clinical relevance of most other BPMFs, however, is under debate, since they often depend on age, gender, physical fitness, the energy supply during exercise, the type of exercise needed to produce the BPMF, and whether healthy or diseased subjects are investigated. Conclusions Though the role of BPMFs during fatigue is poorly understood, measuring BPMFs under specific, standardised conditions appears to be helpful for assessing biological states or processes during exercise and fatigue.

  5. Procalcitonin as an adjunctive biomarker in sepsis

    Directory of Open Access Journals (Sweden)

    Mahua Sinha

    2011-01-01

    Full Text Available Sepsis can sometimes be difficult to substantiate, and its distinction from non-infectious conditions in critically ill patients is often a challenge. Serum procalcitonin (PCT assay is one of the biomarkers of sepsis. The present study was aimed to assess the usefulness of PCT assay in critically ill patients with suspected sepsis. The study included 40 patients from the intensive care unit with suspected sepsis. Sepsis was confirmed clinically and/or by positive blood culture. Serum PCT was assayed semi-quantitatively by rapid immunochromatographic technique (within 2 hours of sample receipt. Among 40 critically ill patients, 21 had clinically confirmed sepsis. There were 12 patients with serum PCT ≥10 ng/ml (8, blood culture positive; 1, rickettsia; 2, post-antibiotic blood culture sterile; and 1, non-sepsis; 7 patients with PCT 2-10 ng/ml (4, blood culture positive; 1, falciparum malaria; 2, post-antibiotic blood culture sterile; 3 patients with PCT of 0.5 to 2 ng/ml (sepsis in 1 patient; and 18 patients with PCT < 0.5 ng/ml (sepsis in 2 patients. Patients with PCT ≥ 2 ng/ml had statistically significant correlation with the presence of sepsis (P<0.0001. The PCT assay revealed moderate sensitivity (86% and high specificity (95% at a cut-off ≥ 2 ng/ml. The PCT assay was found to be a useful biomarker of sepsis in this study. The assay could be performed and reported rapidly and provided valuable information before availability of culture results. This might assist in avoiding unwarranted antibiotic usage.

  6. Shedding metabo‘light’ on the search for sepsis biomarkers

    OpenAIRE

    Claudia C. Dos Santos

    2015-01-01

    The clinical presentation of severe infection with generalized inflammation is similar, if not identical, to systemic inflammation induced by sterile tissue injury. Novel models and unbiased technologies are urgently needed for biomarker identification and disease profiling in sepsis. Here we briefly review the article of Kamisoglu and colleagues in this issue of Critical Care on comparing metabolomics data from different studies to assess whether responses elicited by endotoxin recapitulate,...

  7. Reliability of malondialdehyde as a biomarker of oxidative stress in psychological disorders

    OpenAIRE

    Khalil Ansarin; Maryam Khoubnasabjafari; Abolghasem Jouyban

    2015-01-01

    Despite very wide variations of malondialdehyde (MDA) concentrations in biological samples, it is still used as a biomarker of oxidative stress in clinical investigations. In the current perspective study, we aimed to summarize a number of critical analytical points for determination of MDA. Technical problems and controversial findings in healthy people and some psychiatric disorders reveal that the reliability of MDA as a biomarker of oxidative stress n eeds to be re-evaluated by experts.

  8. Investigating the Robustness and Diagnostic Potential of Extracellular Matrix Remodelling Biomarkers in Alkaptonuria

    OpenAIRE

    Genovese, F; Siebuhr, A. S.; Musa, K.; Gallagher, J.A.; Milan, A. M.; Karsdal, M.A.; Rovensky, J; Bay-Jensen, A. C.; Ranganath, L. R.

    2015-01-01

    Background and aim: Alkaptonuria (AKU) clinical manifestations resemble severe arthritis. The Suitability of Nitisinone in Alkaptonuria 1 (SONIA 1) study is a dose-finding trial for nitisinone treatment of AKU patients. We tested a panel of serum and urinary biomarkers reflecting extracellular matrix remodelling (ECMR) of cartilage, bone and connective tissue in SONIA 1 patients to identify non-invasive and diagnostic biomarkers of tissue turnover in AKU.

  9. Biomarkers in community-acquired pneumonia: A state-of-the-art review

    Directory of Open Access Journals (Sweden)

    Renato Seligman

    2012-11-01

    Full Text Available Community-acquired pneumonia (CAP exhibits mortality rates, between 20% and 50% in severe cases. Biomarkers are useful tools for searching for antibiotic therapy modifications and for CAP diagnosis, prognosis and follow-up treatment. This non-systematic state-of-the-art review presents the biological and clinical features of biomarkers in CAP patients, including procalcitonin, C-reactive protein, copeptin, pro-ANP (atrial natriuretic peptide, adrenomedullin, cortisol and D-dimers.

  10. Alzheimer’s disease biomarkers in animal models: closing the translational gap

    OpenAIRE

    Sabbagh, Jonathan J.; Kinney, Jefferson W.; Cummings, Jeffrey L.

    2013-01-01

    The rising prevalence of Alzheimer’s disease (AD) is rapidly becoming one of the largest health and economic challenges in the world. There is a growing need for the development and implementation of reliable biomarkers for AD that can be used to assist in diagnosis, inform disease progression, and monitor therapeutic efficacy. Preclinical models permit the evaluation of candidate biomarkers and assessment of pipeline agents before clinical trials are initiated and provide a translational opp...

  11. Methodology and Applications of Disease Biomarker Identification in Human Serum

    Directory of Open Access Journals (Sweden)

    Ziad J. Sahab

    2007-01-01

    Full Text Available Biomarkers are biomolecules that serve as indicators of biological and pathological processes, or physiological and pharmacological responses to a drug treatment. Because of the high abundance of albumin and heterogeneity of plasma lipoproteins and glycoproteins, biomarkers are difficult to identify in human serum. Due to the clinical significance the identification of disease biomarkers in serum holds great promise for personalized medicine, especially for disease diagnosis and prognosis. This review summarizes some common and emerging proteomics techniques utilized in the separation of serum samples and identification of disease signatures. The practical application of each protein separation or identification technique is analyzed using specific examples. Biomarkers of cancers of prostate, breast, ovary, and lung in human serum have been reviewed, as well as those of heart disease, arthritis, asthma, and cystic fibrosis. Despite the advancement of technology few biomarkers have been approved by the Food and Drug Administration for disease diagnosis and prognosis due to the complexity of structure and function of protein biomarkers and lack of high sensitivity, specificity, and reproducibility for those putative biomarkers. The combination of different types of technologies and statistical analysis may provide more effective methods to identify and validate new disease biomarkers in blood.Abbreviations: 2-DE, two-dimensional gel electrophoresis; 2DLC-MS, two-dimensional liquid chromatography mass spectrometry; CA 15.3, cancer antigen 15.3; CA 19–9, cancer antigen 19–9, a tumor-associated antigen; CA125, cancer antigen 125, a mucin-like protein; CEA, carcinoembryonic antigen; CF, Cystic Fibrosis; CRP, C-reactive protein; ELISA, enzyme-linked immunosorbent assay; ESI-MS/MS, electrospray ionization tandem mass spectrometry; FDA, Food and Drug Administration; IPG, immobilized pH gradient; MALDI-TOF-MS, matrix-assisted laser desorption

  12. 肿瘤标志物在肺癌诊断、病理分型和临床分期中的价值%Value of detection of serum tumor biomarkers in lung cancer diagnosis, pathological type and clinical stage

    Institute of Scientific and Technical Information of China (English)

    李慧; 陈艳乐; 常静侠; 张国俊

    2013-01-01

    Objective To evaluate the efficiency of 5 tumor biomarkers,namely carbohydrate antigen125 (CA-125),carbohydrate antigen-199 (CA-199),carcinoembryonic antigen (CEA),neuron-specific enolase (NSE),Cytokeratin 19 (CYFRA21-1),independently or in combination for lung cancer diagnosis,pathological type and clinical stage.Methods Electrochemiluminesce-nce immunization was used to determine biomarker levels expressed in 309 patients with pulmonary disease.Results The observed levels of CA125,CA199,CEA,NSE and CYFRA 21-1 in patients with pathologically confirmed lung cancer were significantly higher than those in patients with benign pulmonary diseases.Adenocarcinoma,squamous cell carcinoma,and small cell lung carcinoma of the lung were associated with the highest sensitivity levels of CYFRA21-1 and CEA,CYFRA21-1,and NSE,respectively.The combination of 4 tumor biomarkers,namely,CA125 + CEA +NSE + CYFRA21-1 showed 87.26% sensitivity for lung cancer.The ROC of CYFRA21-1 was 0.840 ± 0.032(95% CI,0.777-0.904).The positive rates and levels of CA125,CEA,CYFRA21-1 were different in clinical stages of lung cancer.Conclusion CA125,CA199,CEA,NSE and CYFRA 21-1 are valuable in the diagnosis,pathological type and clinical stage of lung cancer,especially CYFRA 21-1.The combination of CA125 + CEA + NSE + CYFRA21-1 showed higher sensitivity for lung cancer.CA125,CEA,CYFRA21-1 play an important role in clinical stage.%目的 研究血清肿瘤相关抗原125(CA125)、199(CA199)、癌胚抗原(CEA)、神经元特异性烯醇化酶(NSE)、细胞角蛋白19片段(CYFRA21-1)在肺癌诊断、病理分型和临床分期中的价值.方法 选取郑州大学第一附属医院2011年6月至2012年9月入院患者309例血清标本,采用电化学免疫荧光发光法检测血清肿瘤标志物的浓度.结果 肺癌患者5种血清肿瘤标志物水平均高于肺部良性病变组.单项检测,腺癌、鳞癌、小细胞肺癌(SCCL)敏感度最高者分别为CYFRA21-1和CEA、CYFRA21-1

  13. The "Alzheimer's disease signature": potential perspectives for novel biomarkers

    Directory of Open Access Journals (Sweden)

    Zella Davide

    2011-09-01

    Full Text Available Abstract Alzheimer's disease is a progressive and neurodegenerative disorder which involves multiple molecular mechanisms. Intense research during the last years has accumulated a large body of data and the search for sensitive and specific biomarkers has undergone a rapid evolution. However, the diagnosis remains problematic and the current tests do not accurately detect the process leading to neurodegeneration. Biomarkers discovery and validation are considered the key aspects to support clinical diagnosis and provide discriminatory power between different stages of the disorder. A considerable challenge is to integrate different types of data from new potent approach to reach a common interpretation and replicate the findings across studies and populations. Furthermore, long-term clinical follow-up and combined analysis of several biomarkers are among the most promising perspectives to diagnose and manage the disease. The present review will focus on the recent published data providing an updated overview of the main achievements in the genetic and biochemical research of the Alzheimer's disease. We also discuss the latest and most significant results that will help to define a specific disease signature whose validity might be clinically relevant for future AD diagnosis.

  14. 心源性脑卒中诊断中血生化标志物检查的临床应用%Diagnosis of cardioembolic stroke with plasma Biomarkers in clinical application

    Institute of Scientific and Technical Information of China (English)

    刘团结

    2010-01-01

    Objective To seek a feasible strategy in etiologic diagnosis of ischemic stroke subtypes with plasma biomarkers. Methods Inpatients with acute stroke from neurology department from Jan. 2008 to Dec. 2008 were recruited. Brain CT, MRI, ultrasonography, cardiac evaluations, and other tests were done to identify an etiologic diagnosis according to TOAST classification. Blood samples were drawn on emergency department arrival( within 24 hours) to test selected biomarkers: C-reactive protein, D-dimer and brain natriuretic peptide(BNP) (assayed by ELISA). The results were used to examine the diagnostic value of biochemical markers to differentiate stroke etiologies (ep. cardioembolic stroke subtype). Results A total of 71 hospitalized patients with ischemic stroke were enrolled during the observation period. Higher levels of BNP and D-dimer were observed in patients with cardioembolic stroke than other stroke subtypes ( P < 0.05 ). Conclusion Using a combination of BNP and DD may be a feasible strategy to improve the diagnosis of cardioembolic stroke in the acute phase, thus guiding other diagnostic tests and accelerating the start of optimal secondary prevention.%目的 寻找较为有效可行的血生化标志物应用于脑卒中病因学诊断,从而指导临床卒中亚型(尤其是心源性卒中)的明确诊断和后续进一步治疗与预防的开展.方法 收集本院神经内科2008年1月至2008年12月间因急性脑卒中住院患者的临床资料.所有患者均经脑CT、磁共振成像(MRI)、心脑血管超声及其他检查手段确诊,并经TOAST分类标准进行病因学评估鉴定.血样于患者急诊入院后24 h内采样,进行如下数种血生化标志物检查:C反应蛋白(CRP),D-二聚体(D-dimer,DD),脑钠肽(BNP)(均使用ELISA法测定).并根据检查结果分析卒中亚型诊断中上述血生化标志物的临床应用价值.结果 入选71例急性缺血性脑卒中患者.与其他亚型卒中患者比较,在心源性卒中

  15. Biomarkers in diabetic nephropathy: Present and future

    Institute of Scientific and Technical Information of China (English)

    Gemma; Currie; Gerard; Mc; Kay; Christian; Delles

    2014-01-01

    Diabetic nephropathy(DN) is the leading cause of end stage renal disease in the Western world. Microalbuminuria(MA) is the earliest and most commonly used clinical index of DN and is independently associated with cardiovascular risk in diabetic patients. Although MA remains an essential tool for risk stratification and monitoring disease progression in DN, a number of factors have called into question its predictive power. Originally thought to be predictive of future overt DN in 80% of patients, we now know that only around 30% of microalbuminuric patients progress to overt nephropathy after 10 years of follow up. In addition, advanced structural alterations in the glomerular basement membrane may already have occurred by the time MA is clinically detectable.Evidence in recent years suggests that a significant proportion of patients with MA can revert to normoalbuminuria and the concept of nonalbuminuric DN is well-documented, reflecting the fact that patients with diabetes can demonstrate a reduction in glomerular filtration rate without progressing from normo-to MA. There is an unmet clinical need to identify biomarkers with potential for earlier diagnosis and risk stratification in DN and recent developments inthis field will be the focus of this review article.

  16. PROFILEing idiopathic pulmonary fibrosis: rethinking biomarker discovery.

    Science.gov (United States)

    Maher, Toby M

    2013-06-01

    Despite major advances in the understanding of the pathogenesis of idiopathic pulmonary fibrosis (IPF), diagnosis and management of the condition continue to pose significant challenges. Clinical management of IPF remains unsatisfactory due to limited availability of effective drug therapies, a lack of accurate indicators of disease progression, and an absence of simple short-term measures of therapeutic response. The identification of more accurate predictors of prognosis and survival in IPF would facilitate counseling of patients and their families, aid communication among clinicians, and would guide optimal timing of referral for transplantation. Improvements in molecular techniques have led to the identification of new disease pathways and a more targeted approach to the development of novel anti-fibrotic agents. However, despite an increased interest in biomarkers of IPF disease progression there are a lack of measures that can be used in early phase clinical trials. Careful longitudinal phenotyping of individuals with IPF together with the application of novel omics-based technology should provide important insights into disease pathogenesis and should address some of the major issues holding back drug development in IPF. The PROFILE (Prospective Observation of Fibrosis in the Lung Clinical Endpoints) study is a currently enrolling, prospective cohort study designed to tackle these issues. PMID:23728868

  17. PROFILEing idiopathic pulmonary fibrosis: rethinking biomarker discovery

    Directory of Open Access Journals (Sweden)

    Toby M. Maher

    2013-06-01

    Full Text Available Despite major advances in the understanding of the pathogenesis of idiopathic pulmonary fibrosis (IPF, diagnosis and management of the condition continue to pose significant challenges. Clinical management of IPF remains unsatisfactory due to limited availability of effective drug therapies, a lack of accurate indicators of disease progression, and an absence of simple short-term measures of therapeutic response. The identification of more accurate predictors of prognosis and survival in IPF would facilitate counseling of patients and their families, aid communication among clinicians, and would guide optimal timing of referral for transplantation. Improvements in molecular techniques have led to the identification of new disease pathways and a more targeted approach to the development of novel anti-fibrotic agents. However, despite an increased interest in biomarkers of IPF disease progression there are a lack of measures that can be used in early phase clinical trials. Careful longitudinal phenotyping of individuals with IPF together with the application of novel omics-based technology should provide important insights into disease pathogenesis and should address some of the major issues holding back drug development in IPF. The PROFILE (Prospective Observation of Fibrosis in the Lung Clinical Endpoints study is a currently enrolling, prospective cohort study designed to tackle these issues.

  18. Evidence that a panel of neurodegeneration biomarkers predicts vasospasm, infarction, and outcome in aneurysmal subarachnoid hemorrhage.

    Directory of Open Access Journals (Sweden)

    Robert Siman

    Full Text Available Biomarkers for neurodegeneration could be early prognostic measures of brain damage and dysfunction in aneurysmal subarachnoid hemorrhage (aSAH with clinical and medical applications. Recently, we developed a new panel of neurodegeneration biomarkers, and report here on their relationships with pathophysiological complications and outcomes following severe aSAH. Fourteen patients provided serial cerebrospinal fluid samples for up to 10 days and were evaluated by ultrasonography, angiography, magnetic resonance imaging, and clinical examination. Functional outcomes were assessed at hospital discharge and 6-9 months thereafter. Eight biomarkers for acute brain damage were quantified: calpain-derived α-spectrin N- and C-terminal fragments (CCSntf and CCSctf, hypophosphorylated neurofilament H,14-3-3 β and ζ, ubiquitin C-terminal hydrolase L1, neuron-specific enolase, and S100β. All 8 biomarkers rose up to 100-fold in a subset of patients. Better than any single biomarker, a set of 6 correlated significantly with cerebral vasospasm, brain infarction, and poor outcome. Furthermore, CSF levels of 14-3-3β, CCSntf, and NSE were early predictors of subsequent moderate-to-severe vasospasm. These data provide evidence that a panel of neurodegeneration biomarkers may predict lasting brain dysfunction and the pathophysiological processes that lead to it following aSAH. The panel may be valuable as surrogate endpoints for controlled clinical evaluation of treatment interventions and for guiding aSAH patient care.

  19. Biomarker discovery in systemic sclerosis: state of the art

    Directory of Open Access Journals (Sweden)

    Bonella F

    2015-07-01

    Full Text Available Francesco Bonella,1 Giuseppe Patuzzo,2 Claudio Lunardi2 1Interstitial and Rare Lung Disease Unit, Ruhrlandklinik University Hospital, University of Duisburg-Essen, Essen, Germany; 2Department of Medicine, University of Verona, Verona, Italy Abstract: Systemic sclerosis (SSc is an autoimmune disease characterized by immune dysfunction and by abnormalities of the microvasculature with vascular obliteration, eventually leading to fibrosis of the skin, gastrointestinal tract, lungs, heart, and kidney. The etiology and pathogenesis of SSc remain unclear, despite recent significant progress in the field. Immune activation and microangiopathy are followed by widespread organ fibrosis, leading to organ failure and increased mortality. The production of inflammatory cytokines and growth factors after tissue injury, as well as the presence of circulating autoantibodies, provide a source of biomarkers with potential diagnostic and prognostic applications in the clinical routine. Two principal approaches exist to discover and characterize biomarkers. The proof-of-concept approach verifies the ability of known proteins, generally involved in the pathogenesis, to correlate with disease phenotype and outcome. A proteomic approach does not need prior knowledge of the proteins or of their function, but it requires high-performance and time-consuming techniques. In this review, we highlight the most recent findings in biomarkers used to characterize SSc organ involvement, to stratify the patients, and to assess the response to treatment. Keywords: systemic sclerosis, biomarkers, proteomics, gene expression profiling

  20. Serum pharmacodynamic biomarkers for chronic corticosteroid treatment of children

    Science.gov (United States)

    Hathout, Yetrib; Conklin, Laurie S.; Seol, Haeri; Gordish-Dressman, Heather; Brown, Kristy J.; Morgenroth, Lauren P.; Nagaraju, Kanneboyina; Heier, Christopher R.; Damsker, Jesse M.; van den Anker, John N.; Henricson, Erik; Clemens, Paula R.; Mah, Jean K.; McDonald, Craig; Hoffman, Eric P.

    2016-01-01

    Corticosteroids are extensively used in pediatrics, yet the burden of side effects is significant. Availability of a simple, fast, and reliable biochemical read out of steroidal drug pharmacodynamics could enable a rapid and objective assessment of safety and efficacy of corticosteroids and aid development of corticosteroid replacement drugs. To identify potential corticosteroid responsive biomarkers we performed proteome profiling of serum samples from DMD and IBD patients with and without corticosteroid treatment using SOMAscan aptamer panel testing 1,129 proteins in FGG). These are candidate biomarkers for anti-inflammatory efficacy of corticosteroids. Known safety concerns were validated, including elevated non-fasting insulin (insulin resistance), and elevated angiotensinogen (salt retention). These were extended by new candidates for metabolism disturbances (leptin, afamin), stunting of growth (growth hormone binding protein), and connective tissue remodeling (MMP3). Significant suppression of multiple adrenal steroid hormones was also seen in treated children (reductions of 17-hydroxyprogesterone, corticosterone, 11-deoxycortisol and testosterone). A panel of new pharmacodynamic biomarkers for corticosteroids in children was defined. Future studies will need to bridge specific biomarkers to mechanism of drug action, and specific clinical outcomes. PMID:27530235

  1. New approaches to sepsis: molecular diagnostics and biomarkers.

    Science.gov (United States)

    Reinhart, Konrad; Bauer, Michael; Riedemann, Niels C; Hartog, Christiane S

    2012-10-01

    Sepsis is among the most common causes of death in hospitals. It arises from the host response to infection. Currently, diagnosis relies on nonspecific physiological criteria and culture-based pathogen detection. This results in diagnostic uncertainty, therapeutic delays, the mis- and overuse of antibiotics, and the failure to identify patients who might benefit from immunomodulatory therapies. There is a need for new sepsis biomarkers that can aid in therapeutic decision making and add information about screening, diagnosis, risk stratification, and monitoring of the response to therapy. The host response involves hundreds of mediators and single molecules, many of which have been proposed as biomarkers. It is, however, unlikely that one single biomarker is able to satisfy all the needs and expectations for sepsis research and management. Among biomarkers that are measurable by assays approved for clinical use, procalcitonin (PCT) has shown some usefulness as an infection marker and for antibiotic stewardship. Other possible new approaches consist of molecular strategies to improve pathogen detection and molecular diagnostics and prognostics based on transcriptomic, proteomic, or metabolic profiling. Novel approaches to sepsis promise to transform sepsis from a physiologic syndrome into a group of distinct biochemical disorders and help in the development of better diagnostic tools and effective adjunctive sepsis therapies. PMID:23034322

  2. Meeting Report--NASA Radiation Biomarker Workshop

    Energy Technology Data Exchange (ETDEWEB)

    Straume, Tore; Amundson, Sally A,; Blakely, William F.; Burns, Frederic J.; Chen, Allen; Dainiak, Nicholas; Franklin, Stephen; Leary, Julie A.; Loftus, David J.; Morgan, William F.; Pellmar, Terry C.; Stolc, Viktor; Turteltaub, Kenneth W.; Vaughan, Andrew T.; Vijayakumar, Srinivasan; Wyrobek, Andrew J.

    2008-05-01

    A summary is provided of presentations and discussions from the NASA Radiation Biomarker Workshop held September 27-28, 2007, at NASA Ames Research Center in Mountain View, California. Invited speakers were distinguished scientists representing key sectors of the radiation research community. Speakers addressed recent developments in the biomarker and biotechnology fields that may provide new opportunities for health-related assessment of radiation-exposed individuals, including for long-duration space travel. Topics discussed include the space radiation environment, biomarkers of radiation sensitivity and individual susceptibility, molecular signatures of low-dose responses, multivariate analysis of gene expression, biomarkers in biodefense, biomarkers in radiation oncology, biomarkers and triage following large-scale radiological incidents, integrated and multiple biomarker approaches, advances in whole-genome tiling arrays, advances in mass-spectrometry proteomics, radiation biodosimetry for estimation of cancer risk in a rat skin model, and confounding factors. Summary conclusions are provided at the end of the report.

  3. Oral Fluids that Detect Cardiovascular Disease Biomarkers

    Science.gov (United States)

    Foley, Joseph D.; Sneed, J. Darrell; Steinhubl, Steven R; Kolasa, Justin; Ebersole, Jeffrey L.; Lin, Yushun; Kryscio, Richard J.; McDevitt, John T.; Campbell, Charles L.; Miller, Craig S.

    2013-01-01

    Objective To determine the utility of oral fluids for assessment of coronary and cardiovascular (CVD) health. Study Design Twenty-nine patients with pre-existing CVD disease underwent an invasive cardiac procedure (alcohol septal ablation or percutaneous coronary intervention) and provided unstimulated whole saliva (UWS), sublingual swabs (LS), gingival swabs (GS) and serum at 0, 8, 16, 24, 48 hr. Concentrations of 13 relevant biomarkers were determined and correlated with levels in serum and the oral fluids. Results Concentrations of the majority of biomarkers were higher in UWS than LS and GS. Coronary and CVD disease biomarkers in UWS correlated better with serum than LS and GS based on group status and measures of time effect. Seven biomarkers demonstrated time effect changes consistent with serum biomarkers, including C-reactive protein and troponin I. Conclusions Changes in serum biomarker profiles are reflected in oral fluids suggesting that oral fluid biomarkers could aid in the assessment of cardiac ischemia/necrosis. PMID:22769406

  4. Approach to cerebrospinal fluid (CSF) biomarker discovery and evaluation in HIV infection.

    Science.gov (United States)

    Price, Richard W; Peterson, Julia; Fuchs, Dietmar; Angel, Thomas E; Zetterberg, Henrik; Hagberg, Lars; Spudich, Serena; Smith, Richard D; Jacobs, Jon M; Brown, Joseph N; Gisslen, Magnus

    2013-12-01

    Central nervous system (CNS) infection is a nearly universal facet of systemic HIV infection that varies in character and neurological consequences. While clinical staging and neuropsychological test performance have been helpful in evaluating patients, cerebrospinal fluid (CSF) biomarkers present a valuable and objective approach to more accurate diagnosis, assessment of treatment effects and understanding of evolving pathobiology. We review some lessons from our recent experience with CSF biomarker studies. We have used two approaches to biomarker analysis: targeted, hypothesis-driven and non-targeted exploratory discovery methods. We illustrate the first with data from a cross-sectional study of defined subject groups across the spectrum of systemic and CNS disease progression and the second with a longitudinal study of the CSF proteome in subjects initiating antiretroviral treatment. Both approaches can be useful and, indeed, complementary. The first is helpful in assessing known or hypothesized biomarkers while the second can identify novel biomarkers and point to broad interactions in pathogenesis. Common to both is the need for well-defined samples and subjects that span a spectrum of biological activity and biomarker concentrations. Previously-defined guide biomarkers of CNS infection, inflammation and neural injury are useful in categorizing samples for analysis and providing critical biological context for biomarker discovery studies. CSF biomarkers represent an underutilized but valuable approach to understanding the interactions of HIV and the CNS and to more objective diagnosis and assessment of disease activity. Both hypothesis-based and discovery methods can be useful in advancing the definition and use of these biomarkers.

  5. Identification of Circulating Biomarker Candidates for Hepatocellular Carcinoma (HCC: An Integrated Prioritization Approach.

    Directory of Open Access Journals (Sweden)

    Faryal Mehwish Awan

    Full Text Available Hepatocellular carcinoma (HCC is the world's third most widespread cancer. Currently available circulating biomarkers for this silently progressing malignancy are not sufficiently specific and sensitive to meet all clinical needs. There is an imminent and pressing need for the identification of novel circulating biomarkers to increase disease-free survival rate. In order to facilitate the selection of the most promising circulating protein biomarkers, we attempted to define an objective method likely to have a significant impact on the analysis of vast data generated from cutting-edge technologies. Current study exploits data available in seven publicly accessible gene and protein databases, unveiling 731 liver-specific proteins through initial enrichment analysis. Verification of expression profiles followed by integration of proteomic datasets, enriched for the cancer secretome, filtered out 20 proteins including 6 previously characterized circulating HCC biomarkers. Finally, interactome analysis of these proteins with midkine (MDK, dickkopf-1 (DKK-1, current standard HCC biomarker alpha-fetoprotein (AFP, its interacting partners in conjunction with HCC-specific circulating and liver deregulated miRNAs target filtration highlighted seven novel statistically significant putative biomarkers including complement component 8, alpha (C8A, mannose binding lectin (MBL2, antithrombin III (SERPINC1, 11β-hydroxysteroid dehydrogenase type 1 (HSD11B1, alcohol dehydrogenase 6 (ADH6, beta-ureidopropionase (UPB1 and cytochrome P450, family 2, subfamily A, polypeptide 6 (CYP2A6. Our proposed methodology provides a swift assortment process for biomarker prioritization that eventually reduces the economic burden of experimental evaluation. Further dedicated validation studies of potential putative biomarkers on HCC patient blood samples are warranted. We hope that the use of such integrative secretome, interactome and miRNAs target filtration approach will

  6. Glycoscience aids in biomarker discovery

    Directory of Open Access Journals (Sweden)

    Serenus Hua1,2 & Hyun Joo An1,2,*

    2012-06-01

    Full Text Available The glycome consists of all glycans (or carbohydrates within abiological system, and modulates a wide range of important biologicalactivities, from protein folding to cellular communications.The mining of the glycome for disease markers representsa new paradigm for biomarker discovery; however, this effortis severely complicated by the vast complexity and structuraldiversity of glycans. This review summarizes recent developmentsin analytical technology and methodology as applied tothe fields of glycomics and glycoproteomics. Mass spectrometricstrategies for glycan compositional profiling are described, as arepotential refinements which allow structure-specific profiling.Analytical methods that can discern protein glycosylation at aspecific site of modification are also discussed in detail.Biomarker discovery applications are shown at each level ofanalysis, highlighting the key role that glycoscience can play inhelping scientists understand disease biology.

  7. Diagnostic and prognostic biomarkers of sepsis in critical care.

    Science.gov (United States)

    Kibe, Savitri; Adams, Kate; Barlow, Gavin

    2011-04-01

    Sepsis is a leading cause of mortality in critically ill patients. Delay in diagnosis and initiation of antibiotics have been shown to increase mortality in this cohort. However, differentiating sepsis from non-infectious triggers of the systemic inflammatory response syndrome (SIRS) is difficult, especially in critically ill patients who may have SIRS for other reasons. It is this conundrum that predominantly drives broad-spectrum antimicrobial use and the associated evolution of antibiotic resistance in critical care environments. It is perhaps unsurprising, therefore, that the search for a highly accurate biomarker of sepsis has become one of the holy grails of medicine. Procalcitonin (PCT) has emerged as the most studied and promising sepsis biomarker. For diagnostic and prognostic purposes in critical care, PCT is an advance on C-reactive protein and other traditional markers of sepsis, but is not accurate enough for clinicians to dispense with clinical judgement. There is stronger evidence, however, that measurement of PCT has a role in reducing the antibiotic exposure of critical care patients. For units intending to incorporate PCT assays into routine clinical practice, the cost-effectiveness of this is likely to depend on the pre-implementation length of an average antibiotic course and the subsequent impact of implementation on emerging antibiotic resistance. In most of the trials to date, the average baseline duration of the antibiotic course was longer than is currently standard practice in many UK critical care units. Many other biomarkers are currently being investigated. To be highly useful in clinical practice, it may be necessary to combine these with other novel biomarkers and/or traditional markers of sepsis.

  8. Oral cancer: Deregulated molecular events and their use as biomarkers.

    Science.gov (United States)

    Sinevici, Nicoleta; O'sullivan, Jeff

    2016-10-01

    Oral Cancer (OC) is a subset of head and neck cancer (HNC) with an annual worldwide incidence of 275,000 cases. OC remains a significant burden worldwide in terms of diagnosis, treatment and prognosis. Despite desirable outcomes in early diagnosed OCs and treatment advances most OCs are detected in advanced stages. The 5-year survival rate of early-stage disease is ∼80% and that of late-stage disease is only ∼20%. Recurrence and chemoresistance from a treatment point of view and pain and disfiguration are important factors contributing to the high morbidity and mortality of OC. Furthermore the process of oral carcinogenesis is complex and not yet fully understood. Consequently numerous potential biomarkers have been hypothesised though controversial results across the board hamper their clinical implementation. Of greatest advantage would be biomarkers signalling early events preceeding OC. Biomarker targets predominately involve deregulated molecular events that participate in cell signalling, growth, survival, motility, angiogenesis and cell cycle control but can also use changes in metabolic genes to discriminate healthy form disease state. Promising potential biomarkers include the growth signalling oncogenes, Epidermal Growth Factor Receptor and Cyclin D1, the anti-growth signalling components p53 and p21, apoptotic effectors such as Bcl-2 and also components involved in immortalisation, angiogenesis, invasion and metastasis processes. Translation of these potential biomakers to the patients is closer than ever though few issues remain to be resolved. Firstly large clinical trials are needed to validate their clinical applicability but also standardised methods of collection, storage and processing methods are needed to minimise variability. PMID:27688099

  9. Assessing cost-utility of predictive biomarkers in oncology: a streamlined approach.

    Science.gov (United States)

    Safonov, Anton; Wang, Shiyi; Gross, Cary P; Agarwal, Divyansh; Bianchini, Giampaolo; Pusztai, Lajos; Hatzis, Christos

    2016-01-01

    Evaluation of cost-utility is critical in assessing the medical utility of predictive or prognostic biomarkers. Current methods involve complex state-transition models, requiring comprehensive data inputs. We propose a simplified decision-analytic tool to explore the relative effect of factors contributing to the cost-utility of a biomarker. We derived a cost-utility metric, the "test incremental cost-effectiveness ratio" (TICER) for biomarker-guided treatment compared to no biomarker use. This method uses data inputs readily accessible through clinical literature. We compared our results with traditional cost-effectiveness analysis of predictive biomarkers for established (HER2-guided trastuzumab, ALK-guided crizotinib, OncotypeDX-guided adjuvant chemotherapy) and emerging (ROS1-guided crizotinib) targeted treatments. We conducted sensitivity analysis to determine which factors had the greatest impact on TICER estimates. Base case TICER for HER2 was $149,600/quality-adjusted life year (QALY), for ALK was $22,200/QALY, and for OncotypeDX was $11,600/QALY, consistent with literature-reported estimates ($180,000/QALY, $202,800/QALY, $8900/QALY, respectively). Base case TICER for ROS1-guided crizotinib was $205,900/QALY. Generally, when treatment cost is considerably greater than biomarker testing costs, TICER is driven by clinical outcomes and health-related quality of life, while biomarker prevalence and treatment cost have a lesser effect. Our simplified decision-analytic approach produces values consistent with existing cost-effectiveness analyses. Our results suggest that biomarker value is mostly driven by the clinical efficacy of the targeted agent. A user-friendly web tool for complete TICER analysis has been made available for open use at http://medicine.yale.edu/lab/pusztai/ticer/ .

  10. Cardiac Biomarkers in Hyperthyroid Cats

    OpenAIRE

    Sangster, Jodi Kirsten

    2013-01-01

    Background: Hyperthyroidism has substantial effects on the circulatory system. The cardiac biomarkers NT-proBNP and troponin I (cTNI) have proven useful in identifying cats with myocardial disease but have not been as extensively investigated in hyperthyroidism.Hypothesis: Plasma NT-proBNP and cTNI concentrations are higher in cats with primary cardiac disease than in cats with hyperthyroidism and higher in cats with hyperthyroidism than in healthy control cats.Animals: Twenty-three hyperthyr...

  11. Cardiac Biomarkers in Hyperthyroid Cats

    OpenAIRE

    Sangster, J.K.; Panciera, D L; Abbott, J.A.; Zimmerman, K.C.; Lantis, A.C.

    2013-01-01

    Background Hyperthyroidism has substantial effects on the circulatory system. The cardiac biomarkers NT‐proBNP and troponin I (cTNI) have proven useful in identifying cats with myocardial disease but have not been extensively investigated in hyperthyroidism. Hypothesis Plasma NT‐proBNP and cTNI concentrations are higher in cats with primary myocardial disease than in cats with hyperthyroidism and higher in cats with hyperthyroidism than in healthy control cats. Animals Twenty‐three hyperthyro...

  12. Proteomics Discovery of Disease Biomarkers

    OpenAIRE

    Mamoun Ahram; Petricoin, Emanuel F.

    2008-01-01

    Recent technological developments in proteomics have shown promising initiatives in identifying novel biomarkers of various diseases. Such technologies are capable of investigating multiple samples and generating large amount of data end-points. Examples of two promising proteomics technologies are mass spectrometry, including an instrument based on surface enhanced laser desorption/ionization, and protein microarrays. Proteomics data must, however, undergo analytical processing using bioinfo...

  13. Salivary biomarkers in psychobiological medicine

    OpenAIRE

    Chiappelli, Francesco; Iribarren, Francisco Javier; Prolo, Paolo

    2006-01-01

    The value of salivary biomarkers for diagnostic and prognostic assessments has become increasingly well established in medicine, pharmacology, and dentistry. Certain salivary components mirror the neuro-endocrine status of the organism. Other saliva products are protein in nature, and can serve to reflect immune surveillance processes. The autonomic nervous system regulates the process of salivation, and the concentration of yet other salivary components, such as α-amylase, which provide a re...

  14. Facts and promises on lung biomarkers in interstitial lung diseases.

    Science.gov (United States)

    Campo, Ilaria; Zorzetto, Michele; Bonella, Francesco

    2015-08-01

    Interstitial lung diseases (ILDs) are a heterogeneous group of >100 pulmonary disorders. ILDs are characterized by an irreversible architectural distortion and impaired gas exchange; however, there is great variability in the clinical course. ILD diagnosis requires a combination of clinical data, radiological imaging and histological findings (when a lung biopsy is required). At the same time, successful management of ILD patients strictly depends on an accurate and confident diagnosis. In this context, the detection of reliable biomarkers able to identify ILD subtypes, avoiding lung biopsy, as well as the capacity to stratify patients and predict over time the disease course, has become a primary aim for all research studies in this field.

  15. Dietary biomarkers: advances, limitations and future directions

    Directory of Open Access Journals (Sweden)

    Hedrick Valisa E

    2012-12-01

    Full Text Available Abstract The subjective nature of self-reported dietary intake assessment methods presents numerous challenges to obtaining accurate dietary intake and nutritional status. This limitation can be overcome by the use of dietary biomarkers, which are able to objectively assess dietary consumption (or exposure without the bias of self-reported dietary intake errors. The need for dietary biomarkers was addressed by the Institute of Medicine, who recognized the lack of nutritional biomarkers as a knowledge gap requiring future research. The purpose of this article is to review existing literature on currently available dietary biomarkers, including novel biomarkers of specific foods and dietary components, and assess the validity, reliability and sensitivity of the markers. This review revealed several biomarkers in need of additional validation research; research is also needed to produce sensitive, specific, cost-effective and noninvasive dietary biomarkers. The emerging field of metabolomics may help to advance the development of food/nutrient biomarkers, yet advances in food metabolome databases are needed. The availability of biomarkers that estimate intake of specific foods and dietary components could greatly enhance nutritional research targeting compliance to national recommendations as well as direct associations with disease outcomes. More research is necessary to refine existing biomarkers by accounting for confounding factors, to establish new indicators of specific food intake, and to develop techniques that are cost-effective, noninvasive, rapid and accurate measures of nutritional status.

  16. Biomarker Validation for Aging: Lessons from mtDNA Heteroplasmy Analyses in Early Cancer Detection

    Directory of Open Access Journals (Sweden)

    Peter E. Barker

    2009-11-01

    Full Text Available The anticipated biological and clinical utility of biomarkers has attracted significant interest recently. Aging and early cancer detection represent areas active in the search for predictive and prognostic biomarkers. While applications differ, overlapping biological features, analytical technologies and specific biomarker analytes bear comparison. Mitochondrial DNA (mtDNA as a biomarker in both biological models has been evaluated. However, it remains unclear whether mtDNA changes in aging and cancer represent biological relationships that are causal, incidental, or a combination of both. This article focuses on evaluation of mtDNA-based biomarkers, emerging strategies for quantitating mtDNA admixtures, and how current understanding of mtDNA in aging and cancer evolves with introduction of new technologies. Whether for cancer or aging, lessons from mtDNA based biomarker evaluations are several. Biological systems are inherently dynamic and heterogeneous. Detection limits for mtDNA sequencing technologies differ among methods for low-level DNA sequence admixtures in healthy and diseased states. Performance metrics of analytical mtDNA technology should be validated prior to application in heterogeneous biologically-based systems. Critical in evaluating biomarker performance is the ability to distinguish measurement system variance from inherent biological variance, because it is within the latter that background healthy variability as well as high-value, disease-specific information reside.

  17. DNA Methylation as a Biomarker for Preeclampsia

    Energy Technology Data Exchange (ETDEWEB)

    Anderson, Cindy M.; Ralph, Jody L.; Wright, Michelle L.; Linggi, Bryan E.; Ohm, Joyce E.

    2014-10-01

    Background: Preeclampsia contributes significantly to pregnancy-associated morbidity and mortality as well as future risk of cardiovascular disease in mother and offspring, and preeclampsia in offspring. The lack of reliable methods for early detection limits the opportunities for prevention, diagnosis, and timely treatment. Purpose: The purpose of this study was to explore distinct DNA methylation patterns associated with preeclampsia in both maternal cells and fetal-derived tissue that represent potential biomarkers to predict future preeclampsia and inheritance in children. Method: A convenience sample of nulliparous women (N = 55) in the first trimester of pregnancy was recruited for this prospective study. Genome-wide DNA methylation was quantified in first-trimester maternal peripheral white blood cells and placental chorionic tissue from normotensive women and those with preeclampsia (n = 6/group). Results: Late-onset preeclampsia developed in 12.7% of women. Significant differences in DNA methylation were identified in 207 individual linked cytosine and guanine (CpG) sites in maternal white blood cells collected in the first trimester (132 sites with gain and 75 sites with loss of methylation), which were common to approximately 75% of the differentially methylated CpG sites identified in chorionic tissue of fetal origin. Conclusion: This study is the first to identify maternal epigenetic targets and common targets in fetal-derived tissue that represent putative biomarkers for early detection and heritable risk of preeclampsia. Findings may pave the way for diagnosis of preeclampsia prior to its clinical presentation and acute damaging effects, and the potential for prevention of the detrimental long-term sequelae.

  18. Metabolic Imaging Biomarkers of Postradiotherapy Xerostomia

    Energy Technology Data Exchange (ETDEWEB)

    Cannon, Blake [Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, Texas (United States); Schwartz, David L., E-mail: dschwartz3@nshs.edu [Department of Radiation Oncology, University of Texas M. D. Anderson Cancer Center, Houston, Texas (United States); Department of Radiation Medicine, Hofstra North Shore-LIJ School of Medicine, New Hyde Park, New York (United States); Feinstein Institute for Medical Research, Manhasset, New York (United States); Dong Lei [Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, Texas (United States)

    2012-08-01

    Purpose: Xerostomia is a major complication of head and neck radiotherapy (RT). Available xerostomia measures remain flawed. [{sup 18}F]fluorodeoxyglucose-labeled positron emission tomography-computed tomography (FDG-PET-CT) is routinely used for staging and response assessment of head and neck cancer. We investigated quantitative measurement of parotid gland FDG uptake as a potential biomarker for post-RT xerostomia. Methods and Materials: Ninety-eight locally advanced head and neck cancer patients receiving definitive RT underwent baseline and post-RT FDG-PET-CT on a prospective imaging trial. A separate validation cohort of 14 patients underwent identical imaging while prospectively enrolled in a second trial collecting sialometry and patient-reported outcomes. Radiation dose and pre- and post-RT standard uptake values (SUVs) for all voxels contained within parotid gland ROI were deformably registered. Results: Average whole-gland or voxel-by-voxel models incorporating parotid D{sub Met} (defined as the pretreatment parotid SUV weighted by dose) accurately predicted posttreatment changes in parotid FDG uptake (e.g., fractional parotid SUV). Fractional loss of parotid FDG uptake closely paralleled early parotid toxicity defined by posttreatment salivary output (p < 0.01) and Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer xerostomia scores (p < 0.01). Conclusions: In this pilot series, loss of parotid FDG uptake was strongly associated with acute clinical post-RT parotid toxicity. D{sub Met} may potentially be used to guide function-sparing treatment planning. Prospective validation of FDG-PET-CT as a convenient, quantifiable imaging biomarker of parotid function is warranted and ongoing.

  19. Biomarkers and childhood asthma: improving control today and tomorrow.

    Science.gov (United States)

    Liu, Andrew H

    2005-01-01

    Although we aim to normalize the lives of children with asthma by controlling their day and night symptoms and preventing exacerbations and morbidity, optimal childhood asthma management may result when the assessment and monitoring of asthma includes measured biomarkers--meaning objective, biological measures of lung dysfunction and inflammation. Precedence for such an approach to optimizing disease control and outcomes can be appreciated in comparing asthma with insulin-dependent diabetes mellitus (IDDM) management in children. Optimal management of these chronic conditions shares the fundamental goals to eliminate day and night symptoms and prevent exacerbations and morbidity. However, IDDM management focuses primarily on peripheral blood biomarkers of tight control (i.e., daily serum glucose levels) and predictors of long-term morbidity (i.e., hemoglobin A1C, or hemoglobin "remodeling" due to chronically poor control of glucose) for optimal assessment and monitoring and to best achieve these clinical objectives (Alemzadeh R, et al. Diabetes mellitus in children. In Nelson Textbook of Pediatrics, 17th ed. Behrman RE, Kliegman RM, and Jenson HB (Eds). Philadelphia: W.B. Saunders Co., 1947-1972, 2004). The improved outcomes in IDDM have resulted primarily from the progress to a biomarker-based assessment to achieve tight, optimal control and not, presently, as a dramatic change in therapy. The progress in IDDM management provides a compelling paradigm to consider for improving childhood asthma management. Indeed, the time is good to not only consider some newly available biomarkers, but also to reconsider some biomarkers of lung dysfunction, inflammation, and atopy that could be broadly used today. This article reconsiders the use of current and emerging measures of lung dysfunction, inflammation, and atopy in assessing tight control and long-term risk. Concluding emphasis will be placed on what can be implemented today.

  20. Perspectives for multimodal neurochemical and imaging biomarkers in Alzheimer's disease.

    Science.gov (United States)

    Teipel, Stefan J; Sabri, Osama; Grothe, Michel; Barthel, Henryk; Prvulovic, David; Buerger, Katharina; Bokde, Arun L W; Ewers, Michael; Hoffmann, Wolfgang; Hampel, Harald

    2013-01-01

    The diagnosis of Alzheimer's disease (AD) is presently going through a paradigm shift from disease categories to dimensions and toward the implementation of biomarkers to support identification of predementia and even preclinical asymptomatic stages of the disease. We outline the methodological basis of presently available biomarkers and technological methodologies in AD, including exploratory and hypothesis-based plasma and blood candidates, cerebrospinal fluid markers of amyloid load and axonal destruction, and imaging markers of amyloid deposition, synaptic dysfunction, cortical functional and structural disconnection, and regional atrophy. We integrate biomarker findings into a comprehensive model of AD pathogenesis from healthy aging to cognitive decline, the resilience to cerebral amyloid load (RECAL) matrix. The RECAL framework integrates factors of risk and resilience to cerebral amyloid load for individual risk prediction. We show the clinical consequences when the RECAL matrix is operationalized into a diagnostic algorithm both for individual counseling of subjects and for the identification of at risk samples for primary and secondary preventive trials. We discuss the implication of biomarkers for the identification of prodromal AD for the primary care system that seems presently not even prepared to cope with the increasing number of subjects afflicted with late stage AD dementia, let alone future cohorts of subjects searching counseling or treatment of predementia and asymptomatic stages of AD. The paradigm shift in AD diagnosis and its operationalization into a diagnostic framework will have major implications for our understanding of disease pathogenesis. Now, for the first time, we have access to in vivo markers of key events in AD pathogenesis integrated into a heuristic framework that makes strong predictions on pattern of multimodal biomarkers in different stages of AD. Critical testing of these predictions will help us to modify or even falsify

  1. Biomarkers in connective tissue disease-associated interstitial lung disease.

    Science.gov (United States)

    Bonella, Francesco; Costabel, Ulrich

    2014-04-01

    This article reviews major biomarkers in serum and bronchoalveolar lavage fluid (BALF) with respect to their diagnostic and prognostic value in connective tissue disease-associated interstitial lung disease (CTD-ILD). In some CTD such as systemic sclerosis (SSc), the incidence of ILD is up to two-third of patients, and currently ILD represents the leading cause of death in SSc. Because of the extremely variable incidence and outcome of ILD in CTD, progress in the discovery and validation of biomarkers for diagnosis, prognosis, patients' subtyping, response to treatment, or as surrogate endpoints in clinical trials is extremely important. In contrast to idiopathic interstitial pneumonias, autoantibodies play a crucial role as biomarkers in CTD-ILD because their presence is strictly linked to the pathogenesis and tissue damage. Patterns of autoantibodies, for instance, anticitrullinated peptide antibodies in rheumatoid arthritis or aminoacyl-tRNA synthetases (ARS) in polymyositis/dermatomyositis, have been found to correlate with the presence and occasionally with the course of ILD in CTD. Besides autoantibodies, an increase in serum or BALF of a biomarker of pulmonary origin may be able to predict or reflect the development of fibrosis, the impairment of lung function, and ideally also the prognosis. Promising biomarkers are lung epithelium-derived proteins such as KL-6 (Krebs von den Lungen-6), SP-D (surfactant protein-D), SP-A (surfactant protein-A), YKL-40 (chitinase-3-like protein 1 [CHI3L1] or cytokines such as CCL18 [chemokine (C-C) motif ligand 18]). In the future, genetic/epigenetic markers, such as human leukocyte antigen (HLA) haplotypes, single nucleotide polymorphisms, and micro-RNA, may help to identify subtypes of patients with different needs of management and treatment strategies. PMID:24668534

  2. Aptamer-based multiplexed proteomic technology for biomarker discovery.

    Directory of Open Access Journals (Sweden)

    Larry Gold

    Full Text Available BACKGROUND: The interrogation of proteomes ("proteomics" in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology and medicine. METHODOLOGY/PRINCIPAL FINDINGS: We present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 µL of serum or plasma. Our current assay measures 813 proteins with low limits of detection (1 pM median, 7 logs of overall dynamic range (~100 fM-1 µM, and 5% median coefficient of variation. This technology is enabled by a new generation of aptamers that contain chemically modified nucleotides, which greatly expand the physicochemical diversity of the large randomized nucleic acid libraries from which the aptamers are selected. Proteins in complex matrices such as plasma are measured with a process that transforms a signature of protein concentrations into a corresponding signature of DNA aptamer concentrations, which is quantified on a DNA microarray. Our assay takes advantage of the dual nature of aptamers as both folded protein-binding entities with defined shapes and unique nucleotide sequences recognizable by specific hybridization probes. To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD. We identified two well known CKD biomarkers as well as an additional 58 potential CKD biomarkers. These results demonstrate the potential utility of our technology to rapidly discover unique protein signatures characteristic of various disease states. CONCLUSIONS/SIGNIFICANCE: We describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the next

  3. Metabolomics-based discovery of diagnostic biomarkers for onchocerciasis.

    Directory of Open Access Journals (Sweden)

    Judith R Denery

    Full Text Available BACKGROUND: Development of robust, sensitive, and reproducible diagnostic tests for understanding the epidemiology of neglected tropical diseases is an integral aspect of the success of worldwide control and elimination programs. In the treatment of onchocerciasis, clinical diagnostics that can function in an elimination scenario are non-existent and desperately needed. Due to its sensitivity and quantitative reproducibility, liquid chromatography-mass spectrometry (LC-MS based metabolomics is a powerful approach to this problem. METHODOLOGY/PRINCIPAL FINDINGS: Analysis of an African sample set comprised of 73 serum and plasma samples revealed a set of 14 biomarkers that showed excellent discrimination between Onchocerca volvulus-positive and negative individuals by multivariate statistical analysis. Application of this biomarker set to an additional sample set from onchocerciasis endemic areas where long-term ivermectin treatment has been successful revealed that the biomarker set may also distinguish individuals with worms of compromised viability from those with active infection. Machine learning extended the utility of the biomarker set from a complex multivariate analysis to a binary format applicable for adaptation to a field-based diagnostic, validating the use of complex data mining tools applied to infectious disease biomarker discovery and diagnostic development. CONCLUSIONS/SIGNIFICANCE: An LC-MS metabolomics-based diagnostic has the potential to monitor the progression of onchocerciasis in both endemic and non-endemic geographic areas, as well as provide an essential tool to multinational programs in the ongoing fight against this neglected tropical disease. Ultimately this technology can be expanded for the diagnosis of other filarial and/or neglected tropical diseases.

  4. Biomarker detection of global infectious diseases based on magnetic particles.

    Science.gov (United States)

    Carinelli, Soledad; Martí, Mercè; Alegret, Salvador; Pividori, María Isabel

    2015-09-25

    Infectious diseases affect the daily lives of millions of people all around the world, and are responsible for hundreds of thousands of deaths, mostly in the developing world. Although most of these major infectious diseases are treatable, the early identification of individuals requiring treatment remains a major issue. The incidence of these diseases would be reduced if rapid diagnostic tests were widely available at the community and primary care level in low-resource settings. Strong research efforts are thus being focused on replacing standard clinical diagnostic methods, such as the invasive detection techniques (biopsy or endoscopy) or expensive diagnostic and monitoring methods, by affordable and sensitive tests based on novel biomarkers. The development of new methods that are needed includes solid-phase separation techniques. In this context, the integration of magnetic particles within bioassays and biosensing devices is very promising since they greatly improve the performance of a biological reaction. The diagnosis of clinical samples with magnetic particles can be easily achieved without pre-enrichment, purification or pretreatment steps often required for standard methods, simplifying the analytical procedures. The biomarkers can be specifically isolated and preconcentrated from complex biological matrixes by magnetic actuation, increasing specificity and the sensitivity of the assay. This review addresses these promising features of the magnetic particles for the detection of biomarkers in emerging technologies related with infectious diseases affecting global health, such as malaria, influenza, dengue, tuberculosis or HIV.

  5. Blood and sputum biomarkers in COPD and asthma: a review.

    Science.gov (United States)

    Paone, G; Leone, V; Conti, V; De Marchis, L; Ialleni, E; Graziani, C; Salducci, M; Ramaccia, M; Munafò, G

    2016-01-01

    Chronic obstructive pulmonary disease (COPD) and asthma are lung inflammatory diseases that represent major public health problems. The primary, and often unique, method to evaluate lung function is spirometry, which reflects disease severity rather than disease activity. Moreover, its measurements strictly depend on patient's compliance, physician's expertise and data interpretation. The limitations of clinical history and pulmonary function tests have encouraged focusing on new possible tracers of diseases. The increase of the inflammatory response in the lungs represents an early pathological event, so biological markers related to inflammation may play key roles in earlier diagnosis, evaluation of functional impairment and prognosis. Biomarkers are measurable indicators associated with the presence and/or severity of a biological or pathogenic process, which may predict functional impairment, prognosis and response to therapy. The traditional approach based on invasive techniques (bronchoalveolar lavage and biopsies) may be replaced, at least in part, by using less invasive methods to collect specimens (sputum and blood), in which biomarkers could be measured. Proteomics, by the association between different protein profiles and pathogenic processes, is gaining an important role in pulmonary medicine allowing a more precise discrimination between patients with different outcomes and response to therapy. The aim of this review was to evaluate the use of biomarkers of airway inflammation in the context of both research and clinical practice. PMID:26957273

  6. Peripheral Biomarkers in Animal Models of Major Depressive Disorder

    Directory of Open Access Journals (Sweden)

    Lucia Carboni

    2013-01-01

    Full Text Available Investigations of preclinical biomarkers for major depressive disorder (MDD encompass the quantification of proteins, peptides, mRNAs, or small molecules in blood or urine of animal models. Most studies aim at characterising the animal model by including the assessment of analytes or hormones affected in depressive patients. The ultimate objective is to validate the model to better understand the neurobiological basis of MDD. Stress hormones or inflammation-related analytes associated with MDD are frequently measured. In contrast, other investigators evaluate peripheral analytes in preclinical models to translate the results in clinical settings afterwards. Large-scale, hypothesis-free studies are performed in MDD models to identify candidate biomarkers. Other studies wish to propose new targets for drug discovery. Animal models endowed with predictive validity are investigated, and the assessment of peripheral analytes, such as stress hormones or immune molecules, is comprised to increase the confidence in the target. Finally, since the mechanism of action of antidepressants is incompletely understood, studies investigating molecular alterations associated with antidepressant treatment may include peripheral analyte levels. In conclusion, preclinical biomarker studies aid the identification of new candidate analytes to be tested in clinical trials. They also increase our understanding of MDD pathophysiology and help to identify new pharmacological targets.

  7. Peripheral biomarkers in animal models of major depressive disorder.

    Science.gov (United States)

    Carboni, Lucia

    2013-01-01

    Investigations of preclinical biomarkers for major depressive disorder (MDD) encompass the quantification of proteins, peptides, mRNAs, or small molecules in blood or urine of animal models. Most studies aim at characterising the animal model by including the assessment of analytes or hormones affected in depressive patients. The ultimate objective is to validate the model to better understand the neurobiological basis of MDD. Stress hormones or inflammation-related analytes associated with MDD are frequently measured. In contrast, other investigators evaluate peripheral analytes in preclinical models to translate the results in clinical settings afterwards. Large-scale, hypothesis-free studies are performed in MDD models to identify candidate biomarkers. Other studies wish to propose new targets for drug discovery. Animal models endowed with predictive validity are investigated, and the assessment of peripheral analytes, such as stress hormones or immune molecules, is comprised to increase the confidence in the target. Finally, since the mechanism of action of antidepressants is incompletely understood, studies investigating molecular alterations associated with antidepressant treatment may include peripheral analyte levels. In conclusion, preclinical biomarker studies aid the identification of new candidate analytes to be tested in clinical trials. They also increase our understanding of MDD pathophysiology and help to identify new pharmacological targets. PMID:24167347

  8. Ki-67 biomarker in breast cancer of Indian women

    Directory of Open Access Journals (Sweden)

    Amit V. Patil

    2011-03-01

    Full Text Available Background: Biological markers that reliably predict clinical or pathological response to primary systemic therapy early during a course of chemotherapy may have considerable clinical potential. Aims: Aims of study to evaluated changes in Ki-67 (MIB-1 labeling index and apoptotic index (AI before, during, and after neoadjuvant anthracycline chemotherapy in breast cancer in Indian women. Materials and Methods: Breast cancer tissues were collected from Grant Medical College and Sir J.J. Group of Hospitals, Mumbai, India. Twenty-seven patients receiving neoadjuvant FEC (5-fluorouracil, epirubicin, and cyclophosphamide chemotherapy for operable breast cancer underwent repeat core biopsy after 21 days of treatment. Results: The objective clinical response rate was 56%. Eight patients (31% achieved a pathological response by histopathological criteria; two patients had a near-complete pathological response. Increased day-21 AI was a statistically significant predictor of pathological response (p = 0.049. A strong trend for predicting pathological response was seen with higher Ki-67 indices at day 21 and AI at surgery (p = 0.06 and 0.06, respectively. Conclusion: The clinical utility of early changes in biological marker expression during chemotherapy remains unclear. Until further prospectively validated evidence confirming the reliability of predictive biomarkers is available, clinical decision-making should not be based upon individual biological tumor biomarker profiles.

  9. Ovarian carcinoma subtypes are different diseases: implications for biomarker studies.

    Directory of Open Access Journals (Sweden)

    Martin Köbel

    2008-12-01

    .2%-2.3%, but is a favourable prognostic marker within the high-grade serous subtype (RR 0.5, 95% CI 0.3%-0.8%. CONCLUSIONS: The association of biomarker expression with survival varies substantially between subtypes, and can easily be overlooked in whole cohort analyses. To avoid this effect, each subtype within a cohort should be analyzed discretely. Ovarian carcinoma subtypes are different diseases, and these differences should be reflected in clinical research study design and ultimately in the management of ovarian carcinoma.

  10. Emerging Therapeutic Biomarkers in Endometrial Cancer

    Directory of Open Access Journals (Sweden)

    Peixin Dong

    2013-01-01

    Full Text Available Although clinical trials of molecular therapies targeting critical biomarkers (mTOR, epidermal growth factor receptor/epidermal growth factor receptor 2, and vascular endothelial growth factor in endometrial cancer show modest effects, there are still challenges that might remain regarding primary/acquired drug resistance and unexpected side effects on normal tissues. New studies that aim to target both genetic and epigenetic alterations (noncoding microRNA underlying malignant properties of tumor cells and to specifically attack tumor cells using cell surface markers overexpressed in tumor tissue are emerging. More importantly, strategies that disrupt the cancer stem cell/epithelial-mesenchymal transition-dependent signals and reactivate antitumor immune responses would bring new hope for complete elimination of all cell compartments in endometrial cancer. We briefly review the current status of molecular therapies tested in clinical trials and mainly discuss the potential therapeutic candidates that are possibly used to develop more effective and specific therapies against endometrial cancer progression and metastasis.

  11. Methylated genes as new cancer biomarkers

    DEFF Research Database (Denmark)

    Brunner, Nils; Duffy, M.J; Napieralski, R.;

    2009-01-01

    Aberrant hypermethylation of promoter regions in specific genes is a key event in the formation and progression of cancer. In at least some situations, these aberrant alterations occur early in the formation of malignancy and appear to be tumour specific. Multiple reports have suggested that meas......Aberrant hypermethylation of promoter regions in specific genes is a key event in the formation and progression of cancer. In at least some situations, these aberrant alterations occur early in the formation of malignancy and appear to be tumour specific. Multiple reports have suggested...... that measurement of the methylation status of the promoter regions of specific genes can aid early detection of cancer, determine prognosis and predict therapy responses. Promising DNA methylation biomarkers include the use of methylated GSTP1 for aiding the early diagnosis of prostate cancer, methylated PITX2...... for predicting outcome in lymph node-negative breast cancer patients and methylated MGMT in predicting benefit from alkylating agents in patients with glioblastomas. However, prior to clinical utilisation, these findings require validation in prospective clinical studies. Furthermore, assays for measuring gene...

  12. Current status of predictive biomarkers for neoadjuvant therapy in esophageal cancer

    Institute of Scientific and Technical Information of China (English)

    Norihisa; Uemura; Tadashi; Kondo

    2014-01-01

    Neoadjuvant therapy has been proven to be extremely valuable and is widely used for advanced esophageal cancer. However, a significant proportion of treated patients(60%-70%) does not respond well to neoadjuvant treatments and develop severe adverse effects. Therefore, predictive markers for individualization of multimodality treatments are urgently needed in esophageal cancer. Recently, molecular biomarkers that predict the response to neoadjuvant therapy have been explored in multimodal approaches in esophageal cancer and successful examples of biomarker identification have been reported. In this review, promising candidates for predictive molecular biomarkers developed by using multiple molecular approaches are reviewed. Moreover, treatment strategies based on the status of predicted biomarkers are discussed, while considering the international differences in the clinical background. However, in the absence of adequate treatment options related to the results of the biomarker test, the usefulness of these diagnostic tools is limited and new effective therapies for biomarker-identified nonresponders to cancer treatment should be concurrent with the progress of predictive technologies. Further improvement in the prognosis of esophageal cancer patients can be achieved through the introduction of novel therapeutic approaches in clinical practice.

  13. Recent advances in atherosclerosis-based proteomics: new biomarkers and a future perspective.

    Science.gov (United States)

    Alvarez-Llamas, Gloria; de la Cuesta, Fernando; Barderas, Maria Eugenia G; Darde, Veronica; Padial, Luis R; Vivanco, Fernando

    2008-10-01

    Vascular proteomics is providing two main types of data: proteins that actively participate in vascular pathophysiological processes and novel protein candidates that can potentially serve as useful clinical biomarkers. Although both types of proteins can be identified by similar proteomic strategies and methods, it is important to clearly distinguish biomarkers from mediators of disease. A particular protein, or group of proteins, may participate in a pathogenic process but not serve as an effective biomarker. Alternatively, a useful biomarker may not mediate pathogenic pathways associated with disease (i.e., C-reactive protein). To date, there are no clear successful examples in which discovery proteomics has led to a novel useful clinical biomarker in cardiovascular diseases. Nevertheless, new sources of biomarkers are being explored (i.e., secretomes, circulating cells, exosomes and microparticles), an increasing number of novel proteins involved in atherogenesis are constantly described, and new technologies and analytical strategies (i.e., quantitative proteomics) are being developed to access low abundant proteins. Therefore, this presages a new era of discovery and a further step in the practical application to diagnosis, prognosis and early action by medical treatment of cardiovascular diseases. PMID:18937558

  14. Barcelona Consensus on Biomarker-Based Immunosuppressive Drugs Management in Solid Organ Transplantation.

    Science.gov (United States)

    Brunet, Mercè; Shipkova, Maria; van Gelder, Teun; Wieland, Eberhard; Sommerer, Claudia; Budde, Klemens; Haufroid, Vincent; Christians, Uwe; López-Hoyos, Marcos; Barten, Markus J; Bergan, Stein; Picard, Nicolas; Millán López, Olga; Marquet, Pierre; Hesselink, Dennis A; Noceti, Ofelia; Pawinski, Tomasz; Wallemacq, Pierre; Oellerich, Michael

    2016-04-01

    With current treatment regimens, a relatively high proportion of transplant recipients experience underimmunosuppression or overimmunosuppression. Recently, several promising biomarkers have been identified for determining patient alloreactivity, which help in assessing the risk of rejection and personal response to the drug; others correlate with graft dysfunction and clinical outcome, offering a realistic opportunity for personalized immunosuppression. This consensus document aims to help tailor immunosuppression to the needs of the individual patient. It examines current knowledge on biomarkers associated with patient risk stratification and immunosuppression requirements that have been generally accepted as promising. It is based on a comprehensive review of the literature and the expert opinion of the Biomarker Working Group of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology. The quality of evidence was systematically weighted, and the strength of recommendations was rated according to the GRADE system. Three types of biomarkers are discussed: (1) those associated with the risk of rejection (alloreactivity/tolerance), (2) those reflecting individual response to immunosuppressants, and (3) those associated with graft dysfunction. Analytical aspects of biomarker measurement and novel pharmacokinetic-pharmacodynamic models accessible to the transplant community are also addressed. Conventional pharmacokinetic biomarkers may be used in combination with those discussed in this article to achieve better outcomes and improve long-term graft survival. Our group of experts has made recommendations for the most appropriate analysis of a proposed panel of preliminary biomarkers, most of which are currently under clinical evaluation in ongoing multicentre clinical trials. A section of Next Steps was also included, in which the Expert Committee is committed to sharing this knowledge with the Transplant Community in the form of triennial

  15. Cerebrospinal fluid IL-12p40, CXCL13 and IL-8 as a combinatorial biomarker of active intrathecal inflammation.

    Directory of Open Access Journals (Sweden)

    Bibiana Bielekova

    Full Text Available Diagnosis and management of the neuroinflammatory diseases of the central nervous system (CNS are hindered by the lack of reliable biomarkers of active intrathecal inflammation. We hypothesized that measuring several putative inflammatory biomarkers simultaneously will augment specificity and sensitivity of the biomarker to the clinically useful range. Based on our pilot experiment in which we measured 18 inflammatory biomarkers in 10-fold concentrated cerebrospinal fluid (CSF derived from 16 untreated patients with highly active multiple sclerosis (MS we selected a combination of three CSF biomarkers, IL-12p40, CXCL13 and IL-8, for further validation.Concentrations of IL-12p40, CXCL13 and IL-8 were determined in a blinded fashion in CSF samples from an initial cohort (n = 72 and a confirmatory cohort (n = 167 of prospectively collected, untreated subjects presenting for a diagnostic work-up of possible neuroimmunological disorder. Diagnostic conclusion was based on a thorough clinical workup, which included laboratory assessment of the blood and CSF, neuroimaging and longitudinal follow-up. Receiver operating characteristic (ROC curve analysis in conjunction with principal component analysis (PCA, which was used to combine information from all three biomarkers, assessed the diagnostic value of measured biomarkers.Each of the three biomarkers was significantly increased in MS and other inflammatory neurological disease (OIND in comparison to non-inflammatory neurological disorder patients (NIND at least in one cohort. However, considering all three biomarkers together improved accuracy of predicting the presence of intrathecal inflammation to the consistently good to excellent range (area under the ROC curve = 0.868-0.924.Future clinical studies will determine if a combinatorial biomarker consisting of CSF IL-12p40, CXCL13 and IL-8 provides utility in determining the presence of active intrathecal inflammation in diagnostically

  16. Comprehensive Phenotyping in Multiple Sclerosis: Discovery Based Proteomics and the Current Understanding of Putative Biomarkers

    Directory of Open Access Journals (Sweden)

    Kevin C. O’Connor

    2006-01-01

    Full Text Available Currently, there is no single test for multiple sclerosis (MS. Diagnosis is confirmed through clinical evaluation, abnormalities revealed by magnetic resonance imaging (MRI, and analysis of cerebrospinal fluid (CSF chemistry. The early and accurate diagnosis of the disease, monitoring of progression, and gauging of therapeutic intervention are important but elusive elements of patient care. Moreover, a deeper understanding of the disease pathology is needed, including discovery of accurate biomarkers for MS. Herein we review putative biomarkers of MS relating to neurodegeneration and contributions to neuropathology, with particular focus on autoimmunity. In addition, novel assessments of biomarkers not driven by hypotheses are discussed, featuring our application of advanced proteomics and metabolomics for comprehensive phenotyping of CSF and blood. This strategy allows comparison of component expression levels in CSF and serum between MS and control groups. Examination of these preliminary data suggests that several CSF proteins in MS are differentially expressed, and thus, represent putative biomarkers deserving of further evaluation.

  17. Strategies for comprehensive analysis of amino acid biomarkers of oxidative stress.

    Science.gov (United States)

    Ptolemy, A S; Lee, R; Britz-McKibbin, P

    2007-07-01

    Despite the wide interest in using modified amino acids as putative biomarkers of oxidative stress, many issues remain as to their overall reliability for early detection and diagnosis of diseases. In contrast to conventional single biomarker studies, comprehensive analysis of biomarkers offers an unbiased strategy for global assessment of modified amino acid metabolism due to reactive oxygen and nitrogen species. This review examines recent analytical techniques amenable for analysis of modified amino acids in biological samples reported during 2003-2007. Particular attention is devoted to the need for validated methods applicable to high-throughput analysis of multiple amino acid biomarkers, as well as consideration of sample pretreatment protocols on artifact formation for improved clinical relevance. PMID:17514495

  18. Role of Systems Biology in Brain Injury Biomarker Discovery: Neuroproteomics Application.

    Science.gov (United States)

    Jaber, Zaynab; Aouad, Patrick; Al Medawar, Mohamad; Bahmad, Hisham; Abou-Abbass, Hussein; Ghandour, Hiba; Mondello, Stefania; Kobeissy, Firas

    2016-01-01

    Years of research in the field of neurotrauma have led to the concept of applying systems biology as a tool for biomarker discovery in traumatic brain injury (TBI). Biomarkers may lead to understanding mechanisms of injury and recovery in TBI and can be potential targets for wound healing, recovery, and increased survival with enhanced quality of life. The literature available on neurotrauma studies from both animal and clinical studies has provided rich insight on the molecular pathways and complex networks of TBI, elucidating the proteomics of this disease for the discovery of biomarkers. With such a plethora of information available, the data from the studies require databases with tools to analyze and infer new patterns and associations. The role of different systems biology tools and their use in biomarker discovery in TBI are discussed in this chapter. PMID:27604718

  19. The progress of cerebrospinal fluid biomarkers in patients with neurodegenerative diseases

    Directory of Open Access Journals (Sweden)

    WANG Wei-zhi

    2013-02-01

    Full Text Available Neurodegenerative diseases include a heterogeneous group of diseases with complicated and overlapped clinical phenotypes. It is difficult to diagnose or identify this kind of disease due to insidious onset and chronic and progressive development. Since processes in the brain can be monitored by analysis of cerebrospinal fluid (CSF, abundant research efforts focus on the efficacy of biomarkers in CSF to indicate specific neurodegenerative lesions and to assist the diagnosis process, assessing whether one biomarker or several biomarkers together could be the reliable tools for diagnosis of specific neurodegenerative diseases. This article mainly reviews the research status and supplementary value in diagnosis and differentiation of CSF biomarkers in common degenerative diseases [e.g. multiple sclerosis (MS, Alzheimer's disease (AD, Parkinson's disease (PD, amyotrophic lateral sclerosis (ALS].

  20. Nilai Diagnostik Dan Korelasi Rasio Neutrofil-Limfosit Dengan Serum Procalcitonin Sebagai Biomarker Infeksi Bakteri Pasien Sepsis Di Rumah Sakit Umum Pusat Adam Malik

    OpenAIRE

    Raja, David Marintua

    2016-01-01

    Background: Prevention for bacterial sepsis complications include early identification, source control and antibiotic treatment. Identification through an ideal biomarker; inexpensive, easy to do and interpret, available in any healthcare facility. Neutrophyl Lymphocyte count ratio (NLCR) is a new promising clinical biomarker being studied, beside of serum procalcitonin as gold standard of bacterial infection diagnostic biomarker. Method: This research is a diagnostic test, cross-sectional...