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Sample records for neurodiscovery center biomarker

  1. 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.

  2. Cardiovascular biomarkers predict susceptibility to lung injury in World Trade Center dust-exposed firefighters.

    Science.gov (United States)

    Weiden, Michael D; Naveed, Bushra; Kwon, Sophia; Cho, Soo Jung; Comfort, Ashley L; Prezant, David J; Rom, William N; Nolan, Anna

    2013-05-01

    Pulmonary vascular loss is an early feature of chronic obstructive pulmonary disease. Biomarkers of inflammation and of metabolic syndrome predict loss of lung function in World Trade Center (WTC) lung injury (LI). We investigated if other cardiovascular disease (CVD) biomarkers also predicted WTC-LI. This nested case-cohort study used 801 never-smoker, WTC-exposed firefighters with normal pre-9/11 lung function presenting for subspecialty pulmonary evaluation (SPE) before March 2008. A representative subcohort of 124 out of 801 subjects with serum drawn within 6 months of 9/11 defined CVD biomarker distribution. Post-9/11 forced expiratory volume in 1 s (FEV1) at defined cases were as follows: susceptible WTC-LI cases with FEV1 ≤77% predicted (66 out of 801) and resistant WTC-LI cases with FEV1 ≥107% predicted (68 out of 801). All models were adjusted for WTC exposure intensity, body mass index at SPE, age on 9/11 and pre-9/11 FEV1. Susceptible WTC-LI cases had higher levels of apolipoprotein-AII, C-reactive protein and macrophage inflammatory protein-4 with significant relative risks (RRs) of 3.85, 3.93 and 0.26, respectively, with an area under the curve (AUC) of 0.858. Resistant WTC-LI cases had significantly higher soluble vascular cell adhesion molecule and lower myeloperoxidase, with RRs of 2.24 and 2.89, respectively (AUC 0.830). Biomarkers of CVD in serum 6 months post-9/11 predicted either susceptibility or resistance to WTC-LI. These biomarkers may define pathways either producing or protecting subjects from pulmonary vascular disease and associated loss of lung function after an irritant exposure.

  3. Point-of-Care Testing and Cardiac Biomarkers: The Standard of Care and Vision for Chest Pain Centers.

    Science.gov (United States)

    Kost, Gerald J; Tran, Nam K

    2005-11-01

    Point-of-care testing (POCT) is defined as testing at or near the site of patient care. POCTdecreases therapeutic turnaround time (TTAT), increases clinical efficiency, and improves medical and economic outcomes. TTAT represents the time from test ordering to patient treatment. POC technologies have become ubiquitous in the United States, and, therefore,so has the potential for speed, convenience, and satisfaction, strong advantages for physicians, nurses, and patients in chest pain centers. POCT is applied most beneficially through the collaborative teamwork of clinicians and laboratorians who use integrative strategies, performance maps, clinical algorithms, and care paths (critical pathways). For example, clinical investigators have shown that on-site integration of testing for cardiac injury markers (myoglobin, creatinine kinase myocardial band [CKMB],and cardiac troponin I [cTnI]) in accelerated diagnostic algorithms produces effective screening, less hospitalization, and substantial savings. Chest pain centers, which now total over 150 accredited in the United States, incorporate similar types of protocol-driven performance enhancements. This optimization allows chest pain centers to improve patient evaluation, treatment, survival, and discharge. This article focuses on cardiac biomarker POCT for chest pain centers and emergency medicine.

  4. Impact of the 2008-2012 French Alzheimer Plan on the use of cerebrospinal fluid biomarkers in research memory center: the PLM Study.

    Science.gov (United States)

    Gabelle, Audrey; Dumurgier, Julien; Vercruysse, Olivier; Paquet, Claire; Bombois, Stéphanie; Laplanche, Jean-Louis; Peoc'h, Katell; Schraen, Susanna; Buée, Luc; Pasquier, Florence; Hugon, Jacques; Touchon, Jacques; Lehmann, Sylvain

    2013-01-01

    The French Alzheimer's Disease Plan aims, in an unprecedented national effort, to develop research, promote optimal diagnosis, and take better care of patients. In order to evaluate the clinical interest and use of cerebrospinal fluid (CSF) biomarkers, a data-sharing project, the PLM (Paris-North, Lille and Montpellier) study has emerged through collaboration between these memory centers, already involved in this field. The revised Alzheimer's disease (AD) diagnosis criteria include CSF biomarkers, but little is known about their use in routine clinical practice. To evaluate their interest and diagnostic accuracy in routine AD diagnosis, a cohort of 677 patients from Montpellier was first analyzed. The results were then validated through the analysis of a second cohort of 638 patients from Lille and Paris-Nord. Diagnoses of AD and other dementias were established by multidisciplinary expert teams, based on neuropsychological exams and structural brain imaging, blinded from CSF results. CSF amyloid-β, tau, and p-tau concentrations were measured for all patients. Receiver-operating characteristic curves were used to define cut-offs and evaluate the ability of each biomarker to discriminate AD from other diagnoses. We showed that p-tau outperformed other biomarkers for discriminating AD from non-AD patients and presents a clear clinical interest. The other biomarkers also showed relevant variations especially when the differential AD diagnoses were taken into account. Altogether we could demonstrate in both mono-centric and multi-centric cohorts from memory clinics the capacity of CSF biomarkers to discriminate AD from non-AD patients in clinical routine with a high sensitivity and specificity.

  5. Synovial tissue sublining CD68 expression is a biomarker of therapeutic response in rheumatoid arthritis clinical trials: consistency across centers.

    LENUS (Irish Health Repository)

    Bresnihan, Barry

    2012-02-01

    OBJECTIVE: To determine whether the correlation between the mean change in disease activity and the mean change in synovial sublining (sl) CD68 expression could be demonstrated across different academic centers. METHODS: Synovial biopsies obtained at arthroscopy from patients with rheumatoid arthritis before and 160 days after rituximab therapy were selected and coded. Paired sections were processed independently at Amsterdam Medical Center (AMC) and at St. Vincent\\'s University Hospital (SVUH), Dublin. Digital image analysis (DIA) was employed at both centers to quantify sublining CD68 expression. RESULTS: After analysis of CD68sl expression at centers in 2 different countries, high levels of intracenter and intercenter agreement were observed. For the pooled sections stained at AMC, the correlation between 2 investigators was R = 0.942, p = 0.000, and for sections stained at SVUH, R = 0.899, p = 0.001. Similarly, the intracenter correlations for DeltaCD68sl expression after treatment were R = 0.998, p = 0.000, for sections stained at AMC and R = 0.880, p = 0.000, for sections stained at SVUH. The intercenter correlation for the pooled scores of sections stained at AMC was R = 0.85, p = 0.000, and for the sections stained at SVUH, R = 0.62, p = 0.001. The consistent correlation between DeltaDAS (Disease Activity Score) and DeltaCD68sl expression across different studies (Pearson correlation = 0.895, p < 0.001) was confirmed. The standardized response mean values for DeltaCD68sl, calculated from analyses at both AMC and SVUH, were consistently 0.5 or greater, indicating a moderate to high potential to detect change. CONCLUSION: The correlation between mean DeltaDAS and mean DeltaCD68sl expression was confirmed across 2 centers. Examination of serial biopsy samples can be used reliably to screen for interesting biological effects at the site of inflammation at an early stage of drug development.

  6. Tulane/Xavier Center for Bioenvironmental Research; project: hazardous materials in aquatic environments; subproject: biomarkers and risk assessment in Bayou Trepagnier, LA

    Energy Technology Data Exchange (ETDEWEB)

    Ide, C.

    1996-12-31

    Tulane and Xavier Universities have singled out the environment as a major strategic focus for research and training for now and beyond the year 2000. the Tulane/Xavier Center for Bioenvironmental Research (CBR) was established in 1989 as the umbrella organization to coordinate environmental research at both universities. CBR projects funded by the DOE under the Hazardous Materials in Aquatic Environments grant are defining the following: (1) the complex interactions that occur during the transport of contaminants through wetlands environments, (2) the actual and potential impact of contaminants on ecological systems and health, (3) the mechanisms and new technologies through which these impacts might be remediated, and (4) new programs aimed at educating and training environmental workers of the future. The subproject described in this report, `Biomarkers and Risk Assessment in Bayou Trepagnier, LN`, is particularly relevant to the US Department of Energy`s Environmental Restoration and Waste Management program aimed at solving problems related to hazard monitoring and clean-up prioritization at sites with aquatic pollution problems in the DOE complex.

  7. A Multi-Center Prospective Study to Validate an Algorithm Using Urine and Plasma Biomarkers for Predicting Gleason ≥3+4 Prostate Cancer on Biopsy

    DEFF Research Database (Denmark)

    Albitar, Maher; Ma, Wanlong; Lund, Lars

    2017-01-01

    Background: Unnecessary biopsies and overdiagnosis of prostate cancer (PCa) remain a serious healthcare problem. We have previously shown that urine- and plasma-based prostate-specific biomarkers when combined can predict high grade prostate cancer (PCa). To further validate this test, we performed...

  8. 77. High preoperative myocardial ischemia biomarkers as predictors of postoperative mortality after CABG surgery: Short and mid term outcome of tertiary center experience

    Directory of Open Access Journals (Sweden)

    Mohamed Abdulwahab Alassal

    2015-10-01

    Conclusion: Old age, multiple diseased vessels and low left ventricular ejection fraction in conjunction with high preoperative serum levels of myocardial ischemia biomarkers could predict PO mortality after CABG surgery. However, high preoperative troponin levels were significantly superior predictor for PO mortality than CK-MB.

  9. Moyamoya Biomarkers

    Science.gov (United States)

    2015-01-01

    Moyamoya disease (MMD) is an arteriopathy of the intracranial circulation predominantly affecting the branches of the internal carotid arteries. Heterogeneity in presentation, progression and response to therapy has prompted intense study to improve the diagnosis and prognosis of this disease. Recent progress in the development of moyamoya-related biomarkers has stimulated marked interest in this field. Biomarkers can be defined as biologically derived agents-such as specific molecules or unique patterns on imaging-that can identify the presence of disease or help to predict its course. This article reviews the current categories of biomarkers relevant to MMD-including proteins, cells and genes-along with potential limitations and applications for their use. PMID:26180608

  10. 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.

  11. Oral administration of drugs with hypersensitivity potential induces germinal center hyperplasia in secondary lymphoid organ/tissue in Brown Norway rats, and this histological lesion is a promising candidate as a predictive biomarker for drug hypersensitivity occurrence in humans.

    Science.gov (United States)

    Tamura, Akitoshi; Miyawaki, Izuru; Yamada, Toru; Kimura, Juki; Funabashi, Hitoshi

    2013-08-15

    It is important to evaluate the potential of drug hypersensitivity as well as other adverse effects during the preclinical stage of the drug development process, but validated methods are not available yet. In the present study we examined whether it would be possible to develop a new predictive model of drug hypersensitivity using Brown Norway (BN) rats. As representative drugs with hypersensitivity potential in humans, phenytoin (PHT), carbamazepine (CBZ), amoxicillin (AMX), and sulfamethoxazole (SMX) were orally administered to BN rats for 28days to investigate their effects on these animals by examinations including observation of clinical signs, hematology, determination of serum IgE levels, histology, and flow cytometric analysis. Skin rashes were not observed in any animals treated with these drugs. Increases in the number of circulating inflammatory cells and serum IgE level did not necessarily occur in the animals treated with these drugs. However, histological examination revealed that germinal center hyperplasia was commonly induced in secondary lymphoid organs/tissues in the animals treated with these drugs. In cytometric analysis, changes in proportions of lymphocyte subsets were noted in the spleen of the animals treated with PHT or CBZ during the early period of administration. The results indicated that the potential of drug hypersensitivity was identified in BN rat by performing histological examination of secondary lymphoid organs/tissues. Data obtained herein suggested that drugs with hypersensitivity potential in humans gained immune reactivity in BN rat, and the germinal center hyperplasia induced by administration of these drugs may serve as a predictive biomarker for drug hypersensitivity occurrence. Copyright © 2013 Elsevier Inc. All rights reserved.

  12. Oral administration of drugs with hypersensitivity potential induces germinal center hyperplasia in secondary lymphoid organ/tissue in Brown Norway rats, and this histological lesion is a promising candidate as a predictive biomarker for drug hypersensitivity occurrence in humans

    Energy Technology Data Exchange (ETDEWEB)

    Tamura, Akitoshi, E-mail: akitoshi-tamura@ds-pharma.co.jp; Miyawaki, Izuru; Yamada, Toru; Kimura, Juki; Funabashi, Hitoshi

    2013-08-15

    It is important to evaluate the potential of drug hypersensitivity as well as other adverse effects during the preclinical stage of the drug development process, but validated methods are not available yet. In the present study we examined whether it would be possible to develop a new predictive model of drug hypersensitivity using Brown Norway (BN) rats. As representative drugs with hypersensitivity potential in humans, phenytoin (PHT), carbamazepine (CBZ), amoxicillin (AMX), and sulfamethoxazole (SMX) were orally administered to BN rats for 28 days to investigate their effects on these animals by examinations including observation of clinical signs, hematology, determination of serum IgE levels, histology, and flow cytometric analysis. Skin rashes were not observed in any animals treated with these drugs. Increases in the number of circulating inflammatory cells and serum IgE level did not necessarily occur in the animals treated with these drugs. However, histological examination revealed that germinal center hyperplasia was commonly induced in secondary lymphoid organs/tissues in the animals treated with these drugs. In cytometric analysis, changes in proportions of lymphocyte subsets were noted in the spleen of the animals treated with PHT or CBZ during the early period of administration. The results indicated that the potential of drug hypersensitivity was identified in BN rat by performing histological examination of secondary lymphoid organs/tissues. Data obtained herein suggested that drugs with hypersensitivity potential in humans gained immune reactivity in BN rat, and the germinal center hyperplasia induced by administration of these drugs may serve as a predictive biomarker for drug hypersensitivity occurrence. - Highlights: • We tested Brown Norway rats as a candidate model for predicting drug hypersensitivity. • The allergic drugs did not induce skin rash, whereas D-penicillamine did so in the rats. • Some of allergic drugs increased

  13. Defining Pesticide Biomarkers

    Science.gov (United States)

    Biomarkers are measurable substances or characteristics in the human body that can be used to monitor the presence of a chemical in the body, biological responses or harm to health. This Web page describes categories of biomarkers and provides examples.

  14. 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....

  15. Biomarkers in Veterinary Medicine.

    Science.gov (United States)

    Myers, Michael J; Smith, Emily R; Turfle, Phillip G

    2017-02-08

    This article summarizes the relevant definitions related to biomarkers; reviews the general processes related to biomarker discovery and ultimate acceptance and use; and finally summarizes and reviews, to the extent possible, examples of the types of biomarkers used in animal species within veterinary clinical practice and human and veterinary drug development. We highlight opportunities for collaboration and coordination of research within the veterinary community and leveraging of resources from human medicine to support biomarker discovery and validation efforts for veterinary medicine.

  16. New sepsis biomarkers

    Directory of Open Access Journals (Sweden)

    Dolores Limongi

    2016-06-01

    Full Text Available 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.

  17. Biomarkers in sarcoidosis.

    Science.gov (United States)

    Chopra, Amit; Kalkanis, Alexandros; Judson, Marc A

    2016-11-01

    Numerous biomarkers have been evaluated for the diagnosis, assessment of disease activity, prognosis, and response to treatment in sarcoidosis. In this report, we discuss the clinical and research utility of several biomarkers used to evaluate sarcoidosis. Areas covered: The sarcoidosis biomarkers discussed include serologic tests, imaging studies, identification of inflammatory cells and genetic analyses. Literature was obtained from medical databases including PubMed and Web of Science. Expert commentary: Most of the biomarkers examined in sarcoidosis are not adequately specific or sensitive to be used in isolation to make clinical decisions. However, several sarcoidosis biomarkers have an important role in the clinical management of sarcoidosis when they are coupled with clinical data including the results of other biomarkers.

  18. Metabolomics Toward Biomarker Discovery.

    Science.gov (United States)

    Yin, Peiyuan; Xu, Guowang

    2017-01-01

    Metabolomics has been used as practical tool in the discovery of novel biomarkers in a broad area in the clinic. The analytical platforms including nuclear magnetic resonance (NMR) and mass spectrometry (MS) can cover thousands of metabolites. With the help of multivariate data analysis, many potential biomarkers can be defined in the studies. Since metabolites stand at the end point of metabolism, it remains difficult to find novel biomarkers with good diagnostic or prognostic performance. In this chapter, we will introduce a general protocol for biomarker discovery within the scope of metabolomics using MS.

  19. Biomarkers of Diabetic Retinopathy.

    Science.gov (United States)

    Ting, Daniel Shu Wei; Tan, Kara-Anne; Phua, Val; Tan, Gavin Siew Wei; Wong, Chee Wai; Wong, Tien Yin

    2016-12-01

    Diabetic retinopathy (DR), a leading cause of acquired vision loss, is a microvascular complication of diabetes. While traditional risk factors for diabetic retinopathy including longer duration of diabetes, poor blood glucose control, and dyslipidemia are helpful in stratifying patient's risk for developing retinopathy, many patients without these traditional risk factors develop DR; furthermore, there are persons with long diabetes duration who do not develop DR. Thus, identifying biomarkers to predict DR or to determine therapeutic response is important. A biomarker can be defined as a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. Incorporation of biomarkers into risk stratification of persons with diabetes would likely aid in early diagnosis and guide treatment methods for those with DR or with worsening DR. Systemic biomarkers of DR include serum measures including genomic, proteomic, and metabolomics biomarkers. Ocular biomarkers including tears and vitreous and retinal vascular structural changes have also been studied extensively to prognosticate the risk of DR development. The current studies on biomarkers are limited by the need for larger sample sizes, cross-validation in different populations and ethnic groups, and time-efficient and cost-effective analytical techniques. Future research is important to explore novel DR biomarkers that are non-invasive, rapid, economical, and accurate to help reduce the incidence and progression of DR in people with diabetes.

  20. 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...

  1. Novel biomarkers for sepsis

    DEFF Research Database (Denmark)

    Larsen, Frederik Fruergaard; Petersen, J Asger

    2017-01-01

    biomarkers to discriminate between patients with and without infection, as the cause of deterioration. METHOD: Narrative review of current literature. RESULTS: A number of the most promising biomarkers for diagnoses and prognostication of sepsis are presented. CONCLUSION: Procalcitonin, presepsin, CD64, su...

  2. Preclinical biomarker qualification.

    Science.gov (United States)

    Sauer, John-Michael; Porter, Amy C

    2017-01-01

    Biomarkers are ubiquitously used within drug development programs in both nonclinical species and in humans to assess safety and efficacy of novel compounds. To routinely apply such novel biomarkers with certainty, a well-defined data package is necessary for review and endorsement by regulatory agencies including the US Food and Drug Administration, European Medicines Agency, and Japanese Pharmaceuticals and Medical Devices Agency. This type of endorsement is known as regulatory qualification. Novel approaches are being applied to speed the process, lower the resource intensity, and increase the accessibility of biomarker qualification data and it is likely that consortia will continue to play a fundamental role in the qualification process by bringing together like-minded stakeholders focused on specific tools to accelerate drug development. This article will focus on learnings from the previous three nonclinical biomarker qualification projects, as well as discuss the progression of preclinical biomarker projects into the clinical qualification space and the current strategy for the use of nonclinical biomarker data in the translational qualification of clinical biomarkers; much like nonclinical information is used in the approval of drug development candidates. Impact statement This minireview provides an overview of the history of preclinical biomarker qualification by summarizing the three examples of this type of qualification with US Food and Drug Administration, European Medicines Agency, and Japanese Pharmaceuticals and Medical Devices Agency. In addition, an overview of the biomarker qualification process is included to educate key stakeholders with links to relevant white papers that provide information on current evidentiary considerations. The manuscript also provides new information on the evolution of the role that preclinical qualification plays in clinical qualification of biomarkers and the novel approaches that are being utilized to improve the

  3. Prognostic biomarkers in osteoarthritis

    Science.gov (United States)

    Attur, Mukundan; Krasnokutsky-Samuels, Svetlana; Samuels, Jonathan; Abramson, Steven B.

    2013-01-01

    Purpose of review Identification of patients at risk for incident disease or disease progression in osteoarthritis remains challenging, as radiography is an insensitive reflection of molecular changes that presage cartilage and bone abnormalities. Thus there is a widely appreciated need for biochemical and imaging biomarkers. We describe recent developments with such biomarkers to identify osteoarthritis patients who are at risk for disease progression. Recent findings The biochemical markers currently under evaluation include anabolic, catabolic, and inflammatory molecules representing diverse biological pathways. A few promising cartilage and bone degradation and synthesis biomarkers are in various stages of development, awaiting further validation in larger populations. A number of studies have shown elevated expression levels of inflammatory biomarkers, both locally (synovial fluid) and systemically (serum and plasma). These chemical biomarkers are under evaluation in combination with imaging biomarkers to predict early onset and the burden of disease. Summary Prognostic biomarkers may be used in clinical knee osteoarthritis to identify subgroups in whom the disease progresses at different rates. This could facilitate our understanding of the pathogenesis and allow us to differentiate phenotypes within a heterogeneous knee osteoarthritis population. Ultimately, such findings may help facilitate the development of disease-modifying osteoarthritis drugs (DMOADs). PMID:23169101

  4. 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.

  5. Biomarkers in Airway Diseases

    Directory of Open Access Journals (Sweden)

    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.

  6. amphibian_biomarker_data

    Data.gov (United States)

    U.S. Environmental Protection Agency — Amphibian metabolite data used in Snyder, M.N., Henderson, W.M., Glinski, D.G., Purucker, S. T., 2017. Biomarker analysis of american toad (Anaxyrus americanus) and...

  7. Theranostic Biomarkers for Schizophrenia

    Directory of Open Access Journals (Sweden)

    Matea Nikolac Perkovic

    2017-03-01

    Full Text Available Schizophrenia is a highly heritable, chronic, severe, disabling neurodevelopmental brain disorder with a heterogeneous genetic and neurobiological background, which is still poorly understood. To allow better diagnostic procedures and therapeutic strategies in schizophrenia patients, use of easy accessible biomarkers is suggested. The most frequently used biomarkers in schizophrenia are those associated with the neuroimmune and neuroendocrine system, metabolism, different neurotransmitter systems and neurotrophic factors. However, there are still no validated and reliable biomarkers in clinical use for schizophrenia. This review will address potential biomarkers in schizophrenia. It will discuss biomarkers in schizophrenia and propose the use of specific blood-based panels that will include a set of markers associated with immune processes, metabolic disorders, and neuroendocrine/neurotrophin/neurotransmitter alterations. The combination of different markers, or complex multi-marker panels, might help in the discrimination of patients with different underlying pathologies and in the better classification of the more homogenous groups. Therefore, the development of the diagnostic, prognostic and theranostic biomarkers is an urgent and an unmet need in psychiatry, with the aim of improving diagnosis, therapy monitoring, prediction of treatment outcome and focus on the personal medicine approach in order to improve the quality of life in patients with schizophrenia and decrease health costs worldwide.

  8. Theranostic Biomarkers for Schizophrenia

    Science.gov (United States)

    Nikolac Perkovic, Matea; Nedic Erjavec, Gordana; Svob Strac, Dubravka; Uzun, Suzana; Kozumplik, Oliver; Pivac, Nela

    2017-01-01

    Schizophrenia is a highly heritable, chronic, severe, disabling neurodevelopmental brain disorder with a heterogeneous genetic and neurobiological background, which is still poorly understood. To allow better diagnostic procedures and therapeutic strategies in schizophrenia patients, use of easy accessible biomarkers is suggested. The most frequently used biomarkers in schizophrenia are those associated with the neuroimmune and neuroendocrine system, metabolism, different neurotransmitter systems and neurotrophic factors. However, there are still no validated and reliable biomarkers in clinical use for schizophrenia. This review will address potential biomarkers in schizophrenia. It will discuss biomarkers in schizophrenia and propose the use of specific blood-based panels that will include a set of markers associated with immune processes, metabolic disorders, and neuroendocrine/neurotrophin/neurotransmitter alterations. The combination of different markers, or complex multi-marker panels, might help in the discrimination of patients with different underlying pathologies and in the better classification of the more homogenous groups. Therefore, the development of the diagnostic, prognostic and theranostic biomarkers is an urgent and an unmet need in psychiatry, with the aim of improving diagnosis, therapy monitoring, prediction of treatment outcome and focus on the personal medicine approach in order to improve the quality of life in patients with schizophrenia and decrease health costs worldwide. PMID:28358316

  9. Luminally expressed gastrointestinal biomarkers.

    Science.gov (United States)

    Cummins, Gerard; Yung, Diana E; Cox, Ben F; Koulaouzidis, Anastasios; Desmulliez, Marc P Y; Cochran, Sandy

    2017-12-01

    A biomarker is a measurable indicator of normal biologic processes, pathogenic processes or pharmacological responses. The identification of a useful biomarker is challenging, with several hurdles to overcome before clinical adoption. This review gives a general overview of a range of biomarkers associated with inflammatory bowel disease or colorectal cancer along the gastrointestinal tract. Areas covered: These markers include those that are already clinically accepted, such as inflammatory markers such as faecal calprotectin, S100A12 (Calgranulin C), Fatty Acid Binding Proteins (FABP), malignancy markers such as Faecal Occult Blood, Mucins, Stool DNA, Faecal microRNA (miRNA), other markers such as Faecal Elastase, Faecal alpha-1-antitrypsin, Alpha2-macroglobulin and possible future markers such as microbiota, volatile organic compounds and pH. Expert commentary: There are currently a few biomarkers that have been sufficiently validated for routine clinical use at present such as FC. However, many of these biomarkers continue to be limited in sensitivity and specificity for various GI diseases. Emerging biomarkers have the potential to improve diagnosis and monitoring but further study is required to determine efficacy and validate clinical utility.

  10. Theranostic Biomarkers for Schizophrenia.

    Science.gov (United States)

    Perkovic, Matea Nikolac; Erjavec, Gordana Nedic; Strac, Dubravka Svob; Uzun, Suzana; Kozumplik, Oliver; Pivac, Nela

    2017-03-30

    Schizophrenia is a highly heritable, chronic, severe, disabling neurodevelopmental brain disorder with a heterogeneous genetic and neurobiological background, which is still poorly understood. To allow better diagnostic procedures and therapeutic strategies in schizophrenia patients, use of easy accessible biomarkers is suggested. The most frequently used biomarkers in schizophrenia are those associated with the neuroimmune and neuroendocrine system, metabolism, different neurotransmitter systems and neurotrophic factors. However, there are still no validated and reliable biomarkers in clinical use for schizophrenia. This review will address potential biomarkers in schizophrenia. It will discuss biomarkers in schizophrenia and propose the use of specific blood-based panels that will include a set of markers associated with immune processes, metabolic disorders, and neuroendocrine/neurotrophin/neurotransmitter alterations. The combination of different markers, or complex multi-marker panels, might help in the discrimination of patients with different underlying pathologies and in the better classification of the more homogenous groups. Therefore, the development of the diagnostic, prognostic and theranostic biomarkers is an urgent and an unmet need in psychiatry, with the aim of improving diagnosis, therapy monitoring, prediction of treatment outcome and focus on the personal medicine approach in order to improve the quality of life in patients with schizophrenia and decrease health costs worldwide.

  11. Biomarkers of sepsis

    Science.gov (United States)

    2013-01-01

    Sepsis is an unusual systemic reaction to what is sometimes an otherwise ordinary infection, and it probably represents a pattern of response by the immune system to injury. A hyper-inflammatory response is followed by an immunosuppressive phase during which multiple organ dysfunction is present and the patient is susceptible to nosocomial infection. Biomarkers to diagnose sepsis may allow early intervention which, although primarily supportive, can reduce the risk of death. Although lactate is currently the most commonly used biomarker to identify sepsis, other biomarkers may help to enhance lactate’s effectiveness; these include markers of the hyper-inflammatory phase of sepsis, such as pro-inflammatory cytokines and chemokines; proteins such as C-reactive protein and procalcitonin which are synthesized in response to infection and inflammation; and markers of neutrophil and monocyte activation. Recently, markers of the immunosuppressive phase of sepsis, such as anti-inflammatory cytokines, and alterations of the cell surface markers of monocytes and lymphocytes have been examined. Combinations of pro- and anti-inflammatory biomarkers in a multi-marker panel may help identify patients who are developing severe sepsis before organ dysfunction has advanced too far. Combined with innovative approaches to treatment that target the immunosuppressive phase, these biomarkers may help to reduce the mortality rate associated with severe sepsis which, despite advances in supportive measures, remains high. PMID:23480440

  12. Biomarkers intersect with the exposome.

    Science.gov (United States)

    Rappaport, Stephen M

    2012-09-01

    The exposome concept promotes use of omic tools for discovering biomarkers of exposure and biomarkers of disease in studies of diseased and healthy populations. A two-stage scheme is presented for profiling omic features in serum to discover molecular biomarkers and then for applying these biomarkers in follow-up studies. The initial component, referred to as an exposome-wide-association study (EWAS), employs metabolomics and proteomics to interrogate the serum exposome and, ultimately, to identify, validate and differentiate biomarkers of exposure and biomarkers of disease. Follow-up studies employ knowledge-driven designs to explore disease causality, prevention, diagnosis, prognosis and treatment.

  13. Inflammatory biomarkers and cancer

    DEFF Research Database (Denmark)

    Rasmussen, Line Jee Hartmann; Schultz, Martin; Gaardsting, Anne

    2017-01-01

    soluble urokinase plasminogen activator receptor (suPAR) and the pattern recognition receptors (PRRs) pentraxin-3, mannose-binding lectin, ficolin-1, ficolin-2 and ficolin-3. We aimed to evaluate these biomarkers and compare their diagnostic ability to classical biomarkers for diagnosing cancer......In Denmark, patients with serious nonspecific symptoms and signs of cancer (NSSC) are referred to the diagnostic outpatient clinics (DOCs) where an accelerated cancer diagnostic program is initiated. Various immunological and inflammatory biomarkers have been associated with cancer, including...... in patients with NSSC. Patients were included from the DOC, Department of Infectious Diseases, Copenhagen University Hospital Hvidovre. Patients were given a final diagnosis based on the combined results from scans, blood work and physical examination. Weight loss, Charlson score and previous cancer were...

  14. Biomarkers of the Dementia

    Directory of Open Access Journals (Sweden)

    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.

  15. Towards Improved Biomarker Research

    DEFF Research Database (Denmark)

    Kjeldahl, Karin

    This thesis takes a look at the data analytical challenges associated with the search for biomarkers in large-scale biological data such as transcriptomics, proteomics and metabolomics data. These studies aim to identify genes, proteins or metabolites which can be associated with e.g. a diet...... to actually identify strong biomarkers when strict validation is applied; the latter phenomenon is to some extentmasked by a publication bias, but has been widely observed among researchers working with omics data. In this thesis, the background of this apparent small effect size of the biomarkers...... is investigated and followed by some suggestions which can potentially improve the chances of a successful outcome of an omics study. A method widely applied in the analysis of omics studies is Partial Least Squares (PLS) regression which is one of the work horses within the chemometrics tool box; a method which...

  16. Biomarkers of kidney injury.

    Science.gov (United States)

    Urbschat, Anja; Obermüller, Nicholas; Haferkamp, Axel

    2011-07-01

    Acute kidney injury (AKI) represents a common serious clinical problem. Up to date mortality due to AKI, especially in intensive care units, has not been changed significantly over the past 50 years. This is partly due to a delay in initiating renal protective and appropriate therapeutic measures since until now there are no reliable early-detecting biomarkers. The gold standard, serum creatinine, displays poor specificity and sensitivity with regard to recognition of the early period of AKI. Our objective was to review established markers versus novel urine and serum biomarkers of AKI in humans, which have progressed to clinical phase with regard to their diagnostic and prognostic value. A review was performed on the basis of literature search of renal failure, acute kidney injury, and biomarkers in Pubmed. Next to established biomarkers as creatinine and cystatin C, other molecules such as neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), monocyte chemotactic peptide (MCP-1), Netrin-1, and interleukin (IL)-18 are available and represent promising new markers that, however, need to be further evaluated in the clinical setting for suitability. In clinical settings with incipient AKI, not only the development and the implementation of more sensitive biomarkers are required for earlier treatment initiation in order to attenuate the severity of kidney injury, but also equally important remains the substantial improvement and application of refined and prophylactic therapeutic options in these situations. Adequately powered clinical trials testing a row of biomarkers are warranted before they may qualify for full adoption in clinical practice.

  17. Validation of New Cancer Biomarkers

    DEFF Research Database (Denmark)

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

    2015-01-01

    BACKGROUND: Biomarkers are playing increasingly important roles in the detection and management of patients with cancer. Despite an enormous number of publications on cancer biomarkers, few of these biomarkers are in widespread clinical use. CONTENT: In this review, we discuss the key steps in ad...

  18. Emerging Biomarkers in Glioblastoma

    Directory of Open Access Journals (Sweden)

    Warren P. Mason

    2013-08-01

    Full Text Available 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. 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.

  20. Emerging Biomarkers in Cognition

    Science.gov (United States)

    Wicklund, Meredith; Petersen, Ronald C.

    2014-01-01

    Synopsis The field of aging and dementia is rapidly evolving with the aim of identifying individuals in the earliest stages of disease processes. Biomarkers allow the clinician to demonstrate the presence of an underlying pathologic process and resultant synapse dysfunction and neurodegeneration, even in those earliest stages. For example, PET amyloid imaging and CSF Aβ42 provide direct evidence of amyloid deposition and structural MRI, FDG-PET or SPECT and CSF tau provide indirect evidence of synapse dysfunction and neurodegeneration when the pathologic process is due to Alzheimer's disease (AD). While this review will focus on biomarkers for mild cognitive impairment (MCI) due to AD, structural MRI, FDG-PET or SPECT, and PET with dopamine ligands are also valuable in suggesting non-AD pathologic processes. While these biomarkers are very useful and can even be applied to diagnostic criteria in MCI, several limitations exist. As the field continues to grow, several new biomarkers are emerging and ultimately, a more biological characterization of subjects’ underlying pathophysiologic spectra will be possible. PMID:24094298

  1. Biomarkers of cell senescence

    Science.gov (United States)

    Dirmi, Goberdhan P.; Campisi, Judith; Peacocke, Monica

    1996-01-01

    The present invention provides a biomarker system for the in vivo and in vitro assessment of cell senescence. In the method of the present invention, .beta.-galactosidase activity is utilized as a means by which cell senescence may be assessed either in in vitro cell cultures or in vivo.

  2. Biomarkers for anorexia nervosa

    DEFF Research Database (Denmark)

    Sjøgren, Jan Magnus

    2017-01-01

    Biomarkers for anorexia nervosa (AN) which reflect the pathophysiology and relate to the aetiology of the disease, are warranted and could bring us one step closer to targeted treatment of AN. Some leads may be found in the biochemistry which often is found disturbed in AN, although normalization...

  3. Asthma outcomes: Biomarkers

    Science.gov (United States)

    Szefler, Stanley J.; Wenzel, Sally; Brown, Robert; Erzurum, Serpil C.; Fahy, John V.; Hamilton, Robert G.; Hunt, John F.; Kita, Hirohito; Liu, Andrew H.; Panettieri, Reynold A.; Schleimer, Robert P.; Minnicozzi, Michael

    2012-01-01

    Background Measurement of biomarkers has been incorporated within clinical research studies of asthma to characterize the population and associate the disease with environmental and therapeutic effects. Objective National Institutes of Health institutes and federal agencies convened an expert group to propose which biomarkers should be assessed as standardized asthma outcomes in future clinical research studies. Methods We conducted a comprehensive search of the literature to identify studies that developed and/or tested asthma biomarkers. We identified biomarkers relevant to the underlying disease process progression and response to treatment. We classified the biomarkers as either core (required in future studies), supplemental (used according to study aims and standardized), or emerging (requiring validation and standardization). This work was discussed at an National Institutes of Health–organized workshop convened in March 2010 and finalized in September 2011. Results Ten measures were identified; only 1, multiallergen screening to define atopy, is recommended as a core asthma outcome. Complete blood counts to measure total eosinophils, fractional exhaled nitric oxide (Feno), sputum eosinophils, urinary leukotrienes, and total and allergen-specific IgE are recommended as supplemental measures. Measurement of sputum polymorphonuclear leukocytes and other analytes, cortisol measures, airway imaging, breath markers, and system-wide studies (eg, genomics, proteomics) are considered as emerging outcome measures. Conclusion The working group participants propose the use of multiallergen screening in all asthma clinical trials to characterize study populations with respect to atopic status. Blood, sputum, and urine specimens should be stored in biobanks, and standard procedures should be developed to harmonize sample collection for clinical trial biorepositories. PMID:22386512

  4. Biomarkers of cancer cachexia.

    Science.gov (United States)

    Loumaye, Audrey; Thissen, Jean-Paul

    2017-12-01

    Cachexia is a complex multifactorial syndrome, characterized by loss of skeletal muscle and fat mass, which affects the majority of advanced cancer patients and is associated with poor prognosis. Interestingly, reversing muscle loss in animal models of cancer cachexia leads to prolong survival. Therefore, detecting cachexia and maintaining muscle mass represent a major goal in the care of cancer patients. However, early diagnosis of cancer cachexia is currently limited for several reasons. Indeed, cachexia development is variable according to tumor and host characteristics. In addition, safe, accessible and non-invasive tools to detect skeletal muscle atrophy are desperately lacking in clinical practice. Finally, the precise molecular mechanisms and the key players involved in cancer cachexia remain poorly characterized. The need for an early diagnosis of cancer cachexia supports therefore the quest for a biomarker that might reflect skeletal muscle atrophy process. Current research offers different promising ways to identify such a biomarker. Initially, the quest for a biomarker of cancer cachexia has mostly focused on mediators of muscle atrophy, produced by both tumor and host, in an attempt to define new therapeutic approaches. In another hand, molecules released by the muscle into the circulation during the atrophy process have been also considered as potential biomarkers. More recently, several "omics" studies are emerging to identify new muscular or circulating markers of cancer cachexia. Some genetic markers could also contribute to identify patients more susceptible to develop cachexia. This article reviews our current knowledge regarding potential biomarkers of cancer cachexia. Copyright © 2017 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

  5. Biomarker Profiles in Women with PCOS and PCOS Offspring; A Pilot Study

    NARCIS (Netherlands)

    Daan, Nadine M P; Koster, Maria P H; de Wilde, Marlieke A|info:eu-repo/dai/nl/413993809; Dalmeijer, Gerdien W|info:eu-repo/dai/nl/343075881; Evelein, Annemieke M V; Fauser, Bart C J M|info:eu-repo/dai/nl/071281932; de Jager, Wilco|info:eu-repo/dai/nl/304816906

    2016-01-01

    OBJECTIVE: To study metabolic/inflammatory biomarker risk profiles in women with PCOS and PCOS offspring. DESIGN: Cross-sectional comparison of serum biomarkers. SETTING: University Medical Center Utrecht. PATIENTS: Hyperandrogenic PCOS women (HA-PCOS, n = 34), normoandrogenic PCOS women (NA-PCOS, n

  6. Biomarkers for Early Detection of Clinically Relevant Prostate Cancer. A Multi-Institutional Validation Trial

    Science.gov (United States)

    2016-10-01

    on the commercial use of the molecular diagnostics. What was the impact on society beyond science and technology ? Successful execution of this...clinical practice to predict aggressive disease. The accuracy of each biomarker for predicting short- and long-term progression will be characterized...multiple established and analytically validated quantitative molecular biomarkers to predict PCa progression in a multi- center active surveillance

  7. Biomarkers in Neurocritical Care

    OpenAIRE

    Kimberly, W. Taylor

    2011-01-01

    The gold standard for assessing neurological function is the bedside clinical examination. However, in neurocritical patients, the signs and symptoms related to the severity of illness can often be ambiguous. It can be hard to distinguish between a severe but stable disease state and one that is dynamic and in a critical decline. Clinicians and family members alike may struggle with the uncertainty of functional outcome prediction. Intermediate biomarkers of brain injury can assist with ongoi...

  8. Biomarkers of Selenium Status

    Directory of Open Access Journals (Sweden)

    Gerald F. Combs, Jr.

    2015-03-01

    Full Text Available The essential trace element, selenium (Se, has multiple biological activities, which depend on the level of Se intake. Relatively low Se intakes determine the expression of selenoenzymes in which it serves as an essential constituent. Higher intakes have been shown to have anti-tumorigenic potential; and very high Se intakes can produce adverse effects. This hierarchy of biological activities calls for biomarkers informative at different levels of Se exposure. Some Se-biomarkers, such as the selenoproteins and particularly GPX3 and SEPP1, provide information about function directly and are of value in identifying nutritional Se deficiency and tracking responses of deficient individuals to Se-treatment. They are useful under conditions of Se intake within the range of regulated selenoprotein expression, e.g., for humans <55 μg/day and for animals <20 μg/kg diet. Other Se-biomarkers provide information indirectly through inferences based on Se levels of foods, tissues, urine or feces. They can indicate the likelihood of deficiency or adverse effects, but they do not provide direct evidence of either condition. Their value is in providing information about Se status over a wide range of Se intake, particularly from food forms. There is need for additional Se biomarkers particularly for assessing Se status in non-deficient individuals for whom the prospects of cancer risk reduction and adverse effects risk are the primary health considerations. This would include determining whether supranutritional intakes of Se may be required for maximal selenoprotein expression in immune surveillance cells. It would also include developing methods to determine low molecular weight Se-metabolites, i.e., selenoamino acids and methylated Se-metabolites, which to date have not been detectable in biological specimens. Recent analytical advances using tandem liquid chromatography-mass spectrometry suggest prospects for detecting these metabolites.

  9. [Biomarkers of cardiorenal syndrome].

    Science.gov (United States)

    Kuster, Nils; Moréna, Marion; Bargnoux, Anne-Sophie; Leray, Hélène; Chenine, Leila; Dupuy, Anne-Marie; Canaud, Bernard; Cristol, Jean-Paul

    2013-01-01

    Complex interactions existing between cardiac and renal diseases led to define 5 types of so-called cardiorenal syndromes. This classification is based on the organ primarily involved and the acute or chronic failure. The mutual impact of renal and cardiac functions makes it difficult to evaluate and manage patients with cardiorenal syndromes and worsen morbidity and mortality. This review seeks to discuss the place of biomarkers in diagnosis, management and follow-up of patients with cardiorenal syndromes. Biomarkers can be classified as functional (creatinine, cystatin C…) or lesional (neutrophil gelatinase-associated lipocalin, urinary cystatin C…) renal markers and functional (natriuretic peptides…) or lesional (troponin, fatty acid binding protein) cardiac markers. A last kind of biomarkers reflects the dialogue between heart and kidney (renin-angiotensin-aldosteron-system, indicators of activation of arginine vasopressin system) or the systemic impact (inflammation, oxidative stress…). In order to evaluate accurately the complex interactions that are the basis of cardiorenal syndromes, a multi-marker approach seems nowadays necessary.

  10. Biomarkers in Diabetic Retinopathy

    Science.gov (United States)

    Jenkins, Alicia J.; Joglekar, Mugdha V.; Hardikar, Anandwardhan A.; Keech, Anthony C.; O'Neal, David N.; Januszewski, Andrzej S.

    2015-01-01

    There is a global diabetes epidemic correlating with an increase in obesity. This coincidence may lead to a rise in the prevalence of type 2 diabetes. There is also an as yet unexplained increase in the incidence of type 1 diabetes, which is not related to adiposity. Whilst improved diabetes care has substantially improved diabetes outcomes, the disease remains a common cause of working age adult-onset blindness. Diabetic retinopathy is the most frequently occurring complication of diabetes; it is greatly feared by many diabetes patients. There are multiple risk factors and markers for the onset and progression of diabetic retinopathy, yet residual risk remains. Screening for diabetic retinopathy is recommended to facilitate early detection and treatment. Common biomarkers of diabetic retinopathy and its risk in clinical practice today relate to the visualization of the retinal vasculature and measures of glycemia, lipids, blood pressure, body weight, smoking, and pregnancy status. Greater knowledge of novel biomarkers and mediators of diabetic retinopathy, such as those related to inflammation and angiogenesis, has contributed to the development of additional therapeutics, in particular for late-stage retinopathy, including intra-ocular corticosteroids and intravitreal vascular endothelial growth factor inhibitors ('anti-VEGFs') agents. Unfortunately, in spite of a range of treatments (including laser photocoagulation, intraocular steroids, and anti-VEGF agents, and more recently oral fenofibrate, a PPAR-alpha agonist lipid-lowering drug), many patients with diabetic retinopathy do not respond well to current therapeutics. Therefore, more effective treatments for diabetic retinopathy are necessary. New analytical techniques, in particular those related to molecular markers, are accelerating progress in diabetic retinopathy research. Given the increasing incidence and prevalence of diabetes, and the limited capacity of healthcare systems to screen and treat

  11. The use of biomarkers for the etiologic diagnosis of MCI in Europe

    DEFF Research Database (Denmark)

    Bocchetta, Martina; Galluzzi, Samantha; Kehoe, Patrick Gavin

    2015-01-01

    We investigated the use of Alzheimer's disease (AD) biomarkers in European Alzheimer's Disease Consortium centers and assessed their perceived usefulness for the etiologic diagnosis of mild cognitive impairment (MCI). We surveyed availability, frequency of use, and confidence in diagnostic useful...

  12. 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]…

  13. Biomarkers-A General Review.

    Science.gov (United States)

    Aronson, Jeffrey K; Ferner, Robin E

    2017-03-17

    A biomarker is a biological observation that substitutes for and ideally predicts a clinically relevant endpoint or intermediate outcome that is more difficult to observe. The use of clinical biomarkers is easier and less expensive than direct measurement of the final clinical endpoint, and biomarkers are usually measured over a shorter time span. They can be used in disease screening, diagnosis, characterization, and monitoring; as prognostic indicators; for developing individualized therapeutic interventions; for predicting and treating adverse drug reactions; for identifying cell types; and for pharmacodynamic and dose-response studies. To understand the value of a biomarker, it is necessary to know the pathophysiological relationship between the biomarker and the relevant clinical endpoint. Good biomarkers should be measurable with little or no variability, should have a sizeable signal to noise ratio, and should change promptly and reliably in response to changes in the condition or its therapy. © 2017 by John Wiley & Sons, Inc. Copyright © 2017 John Wiley & Sons, Inc.

  14. Biomarkers in Lysosomal Storage Diseases

    Directory of Open Access Journals (Sweden)

    Joaquin Bobillo Lobato

    2016-12-01

    Full Text Available A biomarker is generally an analyte that indicates the presence and/or extent of a biological process, which is in itself usually directly linked to the clinical manifestations and outcome of a particular disease. The biomarkers in the field of lysosomal storage diseases (LSDs have particular relevance where spectacular therapeutic initiatives have been achieved, most notably with the introduction of enzyme replacement therapy (ERT. There are two main types of biomarkers. The first group is comprised of those molecules whose accumulation is directly enhanced as a result of defective lysosomal function. These molecules represent the storage of the principal macro-molecular substrate(s of a specific enzyme or protein, whose function is deficient in the given disease. In the second group of biomarkers, the relationship between the lysosomal defect and the biomarker is indirect. In this group, the biomarker reflects the effects of the primary lysosomal defect on cell, tissue, or organ functions. There is no “gold standard” among biomarkers used to diagnosis and/or monitor LSDs, but there are a number that exist that can be used to reasonably assess and monitor the state of certain organs or functions. A number of biomarkers have been proposed for the analysis of the most important LSDs. In this review, we will summarize the most promising biomarkers in major LSDs and discuss why these are the most promising candidates for screening systems.

  15. 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.

  16. Chiral Biomarkers in Meteorites

    Science.gov (United States)

    Hoover, Richard B.

    2010-01-01

    The chirality of organic molecules with the asymmetric location of group radicals was discovered in 1848 by Louis Pasteur during his investigations of the rotation of the plane of polarization of light by crystals of sodium ammonium paratartrate. It is well established that the amino acids in proteins are exclusively Levorotary (L-aminos) and the sugars in DNA and RNA are Dextrorotary (D-sugars). This phenomenon of homochirality of biological polymers is a fundamental property of all life known on Earth. Furthermore, abiotic production mechanisms typically yield recemic mixtures (i.e. equal amounts of the two enantiomers). When amino acids were first detected in carbonaceous meteorites, it was concluded that they were racemates. This conclusion was taken as evidence that they were extraterrestrial and produced by abiologically. Subsequent studies by numerous researchers have revealed that many of the amino acids in carbonaceous meteorites exhibit a significant L-excess. The observed chirality is much greater than that produced by any currently known abiotic processes (e.g. Linearly polarized light from neutron stars; Circularly polarized ultraviolet light from faint stars; optically active quartz powders; inclusion polymerization in clay minerals; Vester-Ulbricht hypothesis of parity violations, etc.). This paper compares the measured chirality detected in the amino acids of carbonaceous meteorites with the effect of these diverse abiotic processes. IT is concluded that the levels observed are inconsistent with post-arrival biological contamination or with any of the currently known abiotic production mechanisms. However, they are consistent with ancient biological processes on the meteorite parent body. This paper will consider these chiral biomarkers in view of the detection of possible microfossils found in the Orgueil and Murchison carbonaceous meteorites. Energy dispersive x-ray spectroscopy (EDS) data obtained on these morphological biomarkers will be

  17. Novel biomarkers for prediabetes, diabetes, and associated complications

    Directory of Open Access Journals (Sweden)

    Dorcely B

    2017-08-01

    Full Text Available Brenda Dorcely,1 Karin Katz,1 Ram Jagannathan,2 Stephanie S Chiang,1 Babajide Oluwadare,1 Ira J Goldberg,1 Michael Bergman1 1New York University School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center, New York, NY, 2Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA Abstract: The number of individuals with prediabetes is expected to grow substantially and estimated to globally affect 482 million people by 2040. Therefore, effective methods for diagnosing prediabetes will be required to reduce the risk of progressing to diabetes and its complications. The current biomarkers, glycated hemoglobin (HbA1c, fructosamine, and glycated albumin have limitations including moderate sensitivity and specificity and are inaccurate in certain clinical conditions. Therefore, identification of additional biomarkers is being explored recogni­zing that any single biomarker will also likely have inherent limitations. Therefore, combining several biomarkers may more precisely identify those at high risk for developing prediabetes and subsequent progression to diabetes. This review describes recently identified biomarkers and their potential utility for addressing the burgeoning epidemic of dysglycemic disorders. Keywords: prediabetes, biomarkers, inflammatory markers, diabetes, diabetes complications

  18. Candidate List of yoUr Biomarker (CLUB: A Web-based Platform to Aid Cancer Biomarker Research

    Directory of Open Access Journals (Sweden)

    N. Leigh Anderson

    2008-01-01

    Full Text Available CLUB (“Candidate List of yoUr Biomarkers” is a freely available, web-based resource designed to support Cancer biomarker research. It is targeted to provide a comprehensive list of candidate biomarkers for various cancers that have been reported by the research community. CLUB provides tools for comparison of marker candidates from different experimental platforms, with the ability to filter, search, query and explore, molecular interaction networks associated with cancer biomarkers from the published literature and from data uploaded by the community. This complex and ambitious project is implemented in phases. As a first step, we have compiled from the literature an initial set of differentially expressed human candidate cancer biomarkers. Each candidate is annotated with information from publicly available databases such as Gene Ontology, Swiss-Prot database, National Center for Biotechnology Information’s reference sequences, Biomolecular Interaction Network Database and IntAct interaction. The user has the option to maintain private lists of biomarker candidates or share and export these for use by the community. Furthermore, users may customize and combine commonly used sets of selection procedures and apply them as a stored workflow using selected candidate lists. To enable an assessment by the user before taking a candidate biomarker to the experimental validation stage, the platform contains the functionality to identify pathways associated with cancer risk, staging, prognosis, outcome in cancer and other clinically associated phenotypes. The system is available at http://club.bii.a-star.edu.sg.

  19. Biomarkers of Selenium Status

    Science.gov (United States)

    Combs, Gerald F.

    2015-01-01

    The essential trace element, selenium (Se), has multiple biological activities, which depend on the level of Se intake. Relatively low Se intakes determine the expression of selenoenzymes in which it serves as an essential constituent. Higher intakes have been shown to have anti-tumorigenic potential; and very high Se intakes can produce adverse effects. This hierarchy of biological activities calls for biomarkers informative at different levels of Se exposure. Some Se-biomarkers, such as the selenoproteins and particularly GPX3 and SEPP1, provide information about function directly and are of value in identifying nutritional Se deficiency and tracking responses of deficient individuals to Se-treatment. They are useful under conditions of Se intake within the range of regulated selenoprotein expression, e.g., for humans health considerations. This would include determining whether supranutritional intakes of Se may be required for maximal selenoprotein expression in immune surveillance cells. It would also include developing methods to determine low molecular weight Se-metabolites, i.e., selenoamino acids and methylated Se-metabolites, which to date have not been detectable in biological specimens. Recent analytical advances using tandem liquid chromatography-mass spectrometry suggest prospects for detecting these metabolites. PMID:25835046

  20. Quantitative imaging as cancer biomarker

    Science.gov (United States)

    Mankoff, David A.

    2015-03-01

    whether the drug reaches the target; (3) identify an early response to treatment; and (4) predict the impact of therapy on long-term outcomes such as survival. The manuscript reviews basic concepts important in the application of molecular imaging to cancer drug therapy, in general, and will discuss specific examples of studies in humans, and highlight future directions, including ongoing multi-center clinical trials using molecular imaging as a cancer biomarker.

  1. Biomarkers of spontaneous preterm birth

    DEFF Research Database (Denmark)

    Polettini, Jossimara; Cobo, Teresa; Kacerovsky, Marian

    2017-01-01

    Despite decades of research on risk indicators of spontaneous preterm birth (PTB), reliable biomarkers are still not available to screen or diagnose high-risk pregnancies. Several biomarkers in maternal and fetal compartments have been mechanistically linked to PTB, but none of them are reliable...

  2. Electroencephalography Is a Good Complement to Currently Established Dementia Biomarkers

    DEFF Research Database (Denmark)

    Ferreira, Daniel; Jelic, Vesna; Cavallin, Lena

    2016-01-01

    BACKGROUND/AIMS: Dementia biomarkers that are accessible and easily applicable in nonspecialized clinical settings are urgently needed. Quantitative electroencephalography (qEEG) is a good candidate, and the statistical pattern recognition (SPR) method has recently provided promising results. We......EEG to the diagnostic workup substantially increases the detection of AD pathology even in pre-dementia stages and improves differential diagnosis. EEG could serve as a good complement to currently established dementia biomarkers since it is cheap, noninvasive, and extensively applied outside academic centers....

  3. Biomarkers for lymphoma

    Science.gov (United States)

    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.

  4. 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.

  5. Biomarkers of adverse drug reactions.

    Science.gov (United States)

    Carr, Daniel F; Pirmohamed, Munir

    2017-01-01

    Adverse drug reactions can be caused by a wide range of therapeutics. Adverse drug reactions affect many bodily organ systems and vary widely in severity. Milder adverse drug reactions often resolve quickly following withdrawal of the casual drug or sometimes after dose reduction. Some adverse drug reactions are severe and lead to significant organ/tissue injury which can be fatal. Adverse drug reactions also represent a financial burden to both healthcare providers and the pharmaceutical industry. Thus, a number of stakeholders would benefit from development of new, robust biomarkers for the prediction, diagnosis, and prognostication of adverse drug reactions. There has been significant recent progress in identifying predictive genomic biomarkers with the potential to be used in clinical settings to reduce the burden of adverse drug reactions. These have included biomarkers that can be used to alter drug dose (for example, Thiopurine methyltransferase (TPMT) and azathioprine dose) and drug choice. The latter have in particular included human leukocyte antigen (HLA) biomarkers which identify susceptibility to immune-mediated injuries to major organs such as skin, liver, and bone marrow from a variety of drugs. This review covers both the current state of the art with regard to genomic adverse drug reaction biomarkers. We also review circulating biomarkers that have the potential to be used for both diagnosis and prognosis, and have the added advantage of providing mechanistic information. In the future, we will not be relying on single biomarkers (genomic/non-genomic), but on multiple biomarker panels, integrated through the application of different omics technologies, which will provide information on predisposition, early diagnosis, prognosis, and mechanisms. Impact statement • Genetic and circulating biomarkers present significant opportunities to personalize patient therapy to minimize the risk of adverse drug reactions. ADRs are a significant heath issue

  6. Biomarkers for Detecting Mitochondrial Disorders

    Directory of Open Access Journals (Sweden)

    Josef Finsterer

    2018-01-01

    Full Text Available (1 Objectives: Mitochondrial disorders (MIDs are a genetically and phenotypically heterogeneous group of slowly or rapidly progressive disorders with onset from birth to senescence. Because of their variegated clinical presentation, MIDs are difficult to diagnose and are frequently missed in their early and late stages. This is why there is a need to provide biomarkers, which can be easily obtained in the case of suspecting a MID to initiate the further diagnostic work-up. (2 Methods: Literature review. (3 Results: Biomarkers for diagnostic purposes are used to confirm a suspected diagnosis and to facilitate and speed up the diagnostic work-up. For diagnosing MIDs, a number of dry and wet biomarkers have been proposed. Dry biomarkers for MIDs include the history and clinical neurological exam and structural and functional imaging studies of the brain, muscle, or myocardium by ultrasound, computed tomography (CT, magnetic resonance imaging (MRI, MR-spectroscopy (MRS, positron emission tomography (PET, or functional MRI. Wet biomarkers from blood, urine, saliva, or cerebrospinal fluid (CSF for diagnosing MIDs include lactate, creatine-kinase, pyruvate, organic acids, amino acids, carnitines, oxidative stress markers, and circulating cytokines. The role of microRNAs, cutaneous respirometry, biopsy, exercise tests, and small molecule reporters as possible biomarkers is unsolved. (4 Conclusions: The disadvantages of most putative biomarkers for MIDs are that they hardly meet the criteria for being acceptable as a biomarker (missing longitudinal studies, not validated, not easily feasible, not cheap, not ubiquitously available and that not all MIDs manifest in the brain, muscle, or myocardium. There is currently a lack of validated biomarkers for diagnosing MIDs.

  7. Lipid Biomarkers Identified for Liver Cancer | Center for Cancer Research

    Science.gov (United States)

    Hepatocellular carcinoma (HCC) is an aggressive cancer of the liver with poor prognosis and growing incidence in developed countries. Pathology and genetic profiles of HCC are heterogeneous, suggesting that it can begin growing in different cell types. Although human tumors such as HCC have been profiled in-depth by genomics-based studies, not much is known about their overall metabolite modifications and how these changes can form a network that leads to aggressive disease and poor outcome.

  8. Identification of a Novel Cancer Biomarker | Center for Cancer Research

    Science.gov (United States)

    During cancer development, cells accumulate a variety of mutations which alter their normal components and activities. One potential change is in the carbohydrate or sugar polymers which decorate proteins predominately found on the cell surface. The accessibility of these residues makes them ideal targets for the development of diagnostics or therapeutics.

  9. 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

  10. Network biomarkers, interaction networks and dynamical network biomarkers in respiratory diseases

    OpenAIRE

    Wu, Xiaodan; Chen, Luonan; Wang, Xiangdong

    2014-01-01

    Identification and validation of interaction networks and network biomarkers have become more critical and important in the development of disease-specific biomarkers, which are functionally changed during disease development, progression or treatment. The present review headlined the definition, significance, research and potential application for network biomarkers, interaction networks and dynamical network biomarkers (DNB). Disease-specific interaction networks, network biomarkers, or DNB...

  11. Biomarkers in acute myocardial infarction

    National Research Council Canada - National Science Library

    Chan, Daniel; Ng, Leong L

    2010-01-01

    .... Biomarkers have been used to assist with timely diagnosis, while an increasing number of novel markers have been identified to predict outcome following an acute myocardial infarction or acute coronary syndrome...

  12. 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.

  13. 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....

  14. Developing Biomarkers for Methamphetamine Addiction

    OpenAIRE

    Mendelson, John; Baggott, Matthew J.; Flower, Keith; Galloway, Gantt

    2011-01-01

    There are an estimated 11.7 million methamphetamine (MA) abusers in the United States and epidemics of MA addiction are occurring worldwide. In our human laboratory and outpatient clinical trials we use innovative methods to quantify the severity of MA addiction and test biomarkers that may predict response to therapy or risk of relapse. One potential biomarker of addiction is the quantity of abused drug intake. Qualitative urinalysis is used in clinical trials and during treatment but provid...

  15. Biomarkers for chronic fatigue.

    Science.gov (United States)

    Klimas, Nancy G; Broderick, Gordon; Fletcher, Mary Ann

    2012-11-01

    Fatigue that persists for 6 months or more is termed chronic fatigue. Chronic fatigue (CF) in combination with a minimum of 4 of 8 symptoms and the absence of diseases that could explain these symptoms, constitute the case definition for chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). Inflammation, immune system activation, autonomic dysfunction, impaired functioning in the hypothalamic-pituitary-adrenal axis, and neuroendocrine dysregulation have all been suggested as root causes of fatigue. The identification of objective markers consistently associated with CFS/ME is an important goal in relation to diagnosis and treatment, as the current case definitions are based entirely on physical signs and symptoms. This review is focused on the recent literature related to biomarkers for fatigue associated with CFS/ME and, for comparison, those associated with other diseases. These markers are distributed across several of the body's core regulatory systems. A complex construct of symptoms emerges from alterations and/or dysfunctions in the nervous, endocrine and immune systems. We propose that new insight will depend on our ability to develop and deploy an integrative profiling of CFS/ME pathogenesis at the molecular level. Until such a molecular signature is obtained efforts to develop effective treatments will continue to be severely limited. Copyright © 2012 Elsevier Inc. All rights reserved.

  16. Breath biomarkers in toxicology.

    Science.gov (United States)

    Pleil, Joachim D

    2016-11-01

    Exhaled breath has joined blood and urine as a valuable resource for sampling and analyzing biomarkers in human media for assessing exposure, uptake metabolism, and elimination of toxic chemicals. This article focuses current use of exhaled gas, aerosols, and vapor in human breath, the methods for collection, and ultimately the use of the resulting data. Some advantages of breath are the noninvasive and self-administered nature of collection, the essentially inexhaustible supply, and that breath sampling does not produce potentially infectious waste such as needles, wipes, bandages, and glassware. In contrast to blood and urine, breath samples can be collected on demand in rapid succession and so allow toxicokinetic observations of uptake and elimination in any time frame. Furthermore, new technologies now allow capturing condensed breath vapor directly, or just the aerosol fraction alone, to gain access to inorganic species, lung pH, proteins and protein fragments, cellular DNA, and whole microorganisms from the pulmonary microbiome. Future applications are discussed, especially the use of isotopically labeled probes, non-targeted (discovery) analysis, cellular level toxicity testing, and ultimately assessing "crowd breath" of groups of people and the relation to dose of airborne and other environmental chemicals at the population level.

  17. 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. Copyright © 2014 Elsevier B.V. All rights reserved.

  18. BIOMARKERS for CHRONIC FATIGUE

    Science.gov (United States)

    Broderick, Gordon; Fletcher, Mary Ann

    2012-01-01

    Fatigue that persists for 6 months or more is termed chronic fatigue. Chronic fatigue (CF) in combination with a minimum of 4 of 8 symptoms and the absence of diseases that could explain these symptoms, constitute the case definition for chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). Inflammation, immune system activation, autonomic dysfunction, impaired functioning in the hypothalamic-pituitary-adrenal axis, and neuroendocrine dysregulation have all been suggested as root causes of fatigue. The identification of objective markers consistently associated with CFS/ME is an important goal in relation to diagnosis and treatment, as the current case definitions are based entirely on physical signs and symptoms. This review is focused on the recent literature related to biomarkers for fatigue associated with CFS/ME and, for comparison, those associated with other diseases. These markers are distributed across several of the body’s core regulatory systems. A complex construct of symptoms emerges from alterations and/or dysfunctions in the nervous, endocrine and immune systems. We propose that new insight will depend on our ability to develop and deploy an integrative profiling of CFS/ME pathogenesis at the molecular level. Until such a molecular signature is obtained efforts to develop effective treatments will continue to be severely limited. PMID:22732129

  19. 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

  20. Lessons for tumor biomarker trials: vicious cycles, scientific method & developing guidelines.

    Science.gov (United States)

    Hayes, Daniel; Raison, Claire

    2015-02-01

    Interview with Daniel Hayes, by Claire Raison (Commissioning Editor) Daniel F Hayes, M.D. is the Stuart A Padnos Professor of Breast Cancer Research and co-Director of the Breast Oncology Program at the University of Michigan Comprehensive Cancer Center (Ann Arbor, MI, USA). Dr Hayes has extensive experience in clinical and translational breast cancer biomarker research, and in drug development and clinical trials. Around 30 years ago, he led the discovery of the circulating breast tumor biomarker, CA15-3, which started his career into further tumor biomarker work. The main thrust of his work since then has been in clinical trials, tumor biomarkers and trying to integrate the two. Dr Hayes is Chair of the Correlative Sciences Committee of the North American Breast Cancer Group (now called the Breast Cancer Steering Committee), and co-chairs the Expert Panel for Tumor Biomarker Practice Guidelines for the American Society of Clinical Oncology.

  1. Targeted quantitation of CVD-linked plasma proteins for biomarker verification and validation.

    Science.gov (United States)

    Percy, Andrew J; Byrns, Simon; Chambers, Andrew G; Borchers, Christoph H

    2013-12-01

    Despite significant advances in treatment, cardiovascular disease (CVD) remains one of the leading causes of morbidity and mortality in developed and developing countries. Judicious monitoring of common risk factors has been unable to control this global epidemic, necessitating novel biomarkers for improved screening and earlier disease detection and management. Although numerous plasma proteins have been associated with CVD, only a few of these potential biomarkers have been validated for clinical use. Here we review the quantitative proteomic methods used to verify and validate new biomarker candidates in human plasma. These methods center on a bottom-up approach involving multiple or selected reaction monitoring, for targeted detection, with stable isotope-labeled standards, for peptide normalization. Also included are a discussion of future strategies for improved CVD protein biomarker verification and validation, recommendations for method translation to the clinic, and future projections for protein biomarker research.

  2. Novel Biomarkers of Heart Failure.

    Science.gov (United States)

    Savic-Radojevic, A; Pljesa-Ercegovac, M; Matic, M; Simic, D; Radovanovic, S; Simic, T

    Although substantial improvements have been made in majority of cardiac disorders, heart failure (HF) remains a major health problem, with both increasing incidence and prevalence over the past decades. For that reason, the number of potential biomarkers that could contribute to diagnosis and treatment of HF patients is, almost exponentially, increasing over the recent years. The biomarkers that are, at the moment, more or less ready for use in everyday clinical practice, reflect different pathophysiological processes present in HF. In this review, seven groups of biomarkers associated to myocardial stretch (mid-regional proatrial natriuretic peptide, MR-proANP), myocyte injury (high-sensitive troponins, hs-cTn; heart-type fatty acid-binding protein, H-FABP; glutathione transferase P1, GSTP1), matrix remodeling (galectin-3; soluble isoform of suppression of tumorigenicity 2, sST2), inflammation (growth differentiation factor-15, GDF-15), renal dysfunction (neutrophil gelatinase-associated lipocalin, NGAL; kidney injury molecule-1, KIM-1), neurohumoral activation (adrenomedullin, MR-proADM; copeptin), and oxidative stress (ceruloplasmin; myeloperoxidase, MPO; 8-hydroxy-2'-deoxyguanosine, 8-OHdG; thioredoxin 1, Trx1) in HF will be overviewed. It is important to note that clinical value of individual biomarkers within the single time points in both diagnosis and outcome prediction in HF is limited. Hence, the future of biomarker application in HF lies in the multimarker panel strategy, which would include specific combination of biomarkers that reflect different pathophysiological processes underlying HF. © 2017 Elsevier Inc. All rights reserved.

  3. Urinary Biomarkers in Lupus Nephritis

    Science.gov (United States)

    Reyes-Thomas, Joyce; Blanco, Irene

    2010-01-01

    Renal involvement in patients with systemic lupus erythematosus in the form of severe lupus nephritis is associated with a significant burden of morbidity and mortality. Conventional laboratory biomarkers in current use have not been very successful in anticipating disease flares, predicting renal histology, or decreasing unwanted outcomes. Since early treatment is associated with improved clinical results, it is thus essential to identify new biomarkers with substantial predictive power to reduce the serious sequelae of this difficult to control lupus manifestation. Indeed, considerable efforts and progress have been made over the last few years in the search for novel biomarkers. Since urinary biomarkers are more easily obtainable with much less risk to the patient than repeat renal biopsies, and these may more accurately discern between renal disease and other organ manifestations than their serum counterparts, there has been tremendous interest in studying new candidate urine biomarkers. Below, we review several promising urinary biomarkers under investigation, including total proteinuria and microalbuminuria, urinary proteomic signatures, and the individual inflammatory mediators interleukin-6, vascular cell adhesion molecule-1, CXCL16, IP-10, and tumor necrosis factor-like weak inducer of apoptosis. PMID:20127204

  4. Biomarkers for PTSD

    Science.gov (United States)

    2013-07-01

    anxiety disorders. Ressler hopes that by understanding how fear works in the mammalian brain in the laboratory, it will improve understanding of and...provide translational treatments and possibly prevention for fear-based disorders, such as PTSD, phobic disorders and panic disorder. Dr. Ressler...PROVE (Project for Return and Opportunity in Veterans Education) Queens Vet Center Rutgers Anxiety Disorders Clinic Veteran PTSD Support Group

  5. Biomarkers in acute myocardial infarction

    Directory of Open Access Journals (Sweden)

    Ng Leong L

    2010-06-01

    Full Text Available Abstract Myocardial infarction causes significant mortality and morbidity. Timely diagnosis allows clinicians to risk stratify their patients and select appropriate treatment. Biomarkers have been used to assist with timely diagnosis, while an increasing number of novel markers have been identified to predict outcome following an acute myocardial infarction or acute coronary syndrome. This may facilitate tailoring of appropriate therapy to high-risk patients. This review focuses on a variety of promising biomarkers which provide diagnostic and prognostic information. Heart-type Fatty Acid Binding Protein and copeptin in combination with cardiac troponin help diagnose myocardial infarction or acute coronary syndrome in the early hours following symptoms. An elevated N-Terminal Pro-B-type Natriuretic Peptide has been well validated to predict death and heart failure following a myocardial infarction. Similarly other biomarkers such as Mid-regional pro-Atrial Natriuretic Peptide, ST2, C-Terminal pro-endothelin 1, Mid-regional pro-Adrenomedullin and copeptin all provide incremental information in predicting death and heart failure. Growth differentiation factor-15 and high-sensitivity C-reactive protein predict death following an acute coronary syndrome. Pregnancy associated plasma protein A levels following chest pain predicts risk of myocardial infarction and revascularisation. Some biomarkers such as myeloperoxidase and high-sensitivity C-reactive protein in an apparently healthy population predicts risk of coronary disease and allows clinicians to initiate early preventative treatment. In addition to biomarkers, various well-validated scoring systems based on clinical characteristics are available to help clinicians predict mortality risk, such as the Thrombolysis In Myocardial Infarction score and Global Registry of Acute Coronary Events score. A multimarker approach incorporating biomarkers and clinical scores will increase the prognostic

  6. Biomarkers in acute heart failure.

    Science.gov (United States)

    Mallick, Aditi; Januzzi, James L

    2015-06-01

    The care of patients with acutely decompensated heart failure is being reshaped by the availability and understanding of several novel and emerging heart failure biomarkers. The gold standard biomarkers in heart failure are B-type natriuretic peptide and N-terminal pro-B-type natriuretic peptide, which play an important role in the diagnosis, prognosis, and management of acute decompensated heart failure. Novel biomarkers that are increasingly involved in the processes of myocardial injury, neurohormonal activation, and ventricular remodeling are showing promise in improving diagnosis and prognosis among patients with acute decompensated heart failure. These include midregional proatrial natriuretic peptide, soluble ST2, galectin-3, highly-sensitive troponin, and midregional proadrenomedullin. There has also been an emergence of biomarkers for evaluation of acute decompensated heart failure that assist in the differential diagnosis of dyspnea, such as procalcitonin (for identification of acute pneumonia), as well as markers that predict complications of acute decompensated heart failure, such as renal injury markers. In this article, we will review the pathophysiology and usefulness of established and emerging biomarkers for the clinical diagnosis, prognosis, and management of acute decompensated heart failure. Copyright © 2015 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

  7. Extracellular genomic biomarkers of osteoarthritis.

    Science.gov (United States)

    Budd, Emma; Nalesso, Giovanna; Mobasheri, Ali

    2018-01-01

    Osteoarthritis (OA), a chronic, debilitating and degenerative disease of the joints, is the most common form of arthritis. The seriousness of this prevalent and chronic disease is often overlooked. Disease modifying OA drug development is hindered by the lack of soluble biomarkers to detect OA early. The objective of OA biomarker research is to identify early OA prior to the appearance of radiographic signs and the development of pain. Areas covered: This review has focused on extracellular genomic material that could serve as biomarkers of OA. Recent studies have examined the expression of extracellular genomic material such as miRNA, lncRNA, snoRNA, mRNA and cell-free DNA, which are aberrantly expressed in the body fluids of OA patients. Changes in genomic content of peripheral blood mononuclear cells in OA could also function as biomarkers of OA. Expert commentary: There is an unmet need for soluble biomarkers for detecting and then monitoring OA disease progression. Extracellular genomic material research may also reveal more about the underlying pathophysiology of OA. Minimally-invasive liquid biopsies such as synovial fluid and blood sampling of genomic material may be more sensitive over radiography in the detection, diagnosis and monitoring of OA in the future.

  8. Imaging Biomarkers for Adult Medulloblastomas

    DEFF Research Database (Denmark)

    Keil, V C; Warmuth-Metz, M; Reh, C

    2017-01-01

    BACKGROUND AND PURPOSE: The occurrence of medulloblastomas in adults is rare; nevertheless, these tumors can be subdivided into genetic and histologic entities each having distinct prognoses. This study aimed to identify MR imaging biomarkers to classify these entities and to uncover differences...... in MR imaging biomarkers identified in pediatric medulloblastomas. MATERIALS AND METHODS: Eligible preoperative MRIs from 28 patients (11 women; 22-53 years of age) of the Multicenter Pilot-study for the Therapy of Medulloblastoma of Adults (NOA-7) cohort were assessed by 3 experienced neuroradiologists......-WNT/non-SHH medulloblastomas (in adults, Group 4), and histologic entities were correlated with the imaging criteria. These MR imaging biomarkers were compared with corresponding data from a pediatric study. RESULTS: There were 19 SHH TP53 wild type (69%), 4 WNT-activated (14%), and 5 Group 4 (17%) medulloblastomas. Six...

  9. Biomarkers of replicative senescence revisited

    DEFF Research Database (Denmark)

    Nehlin, Jan

    2016-01-01

    Biomarkers of replicative senescence can be defined as those ultrastructural and physiological variations as well as molecules whose changes in expression, activity or function correlate with aging, as a result of the gradual exhaustion of replicative potential and a state of permanent cell cycle...... arrest. The biomarkers that characterize the path to an irreversible state of cell cycle arrest due to proliferative exhaustion may also be shared by other forms of senescence-inducing mechanisms. Validation of senescence markers is crucial in circumstances where quiescence or temporary growth arrest may...... be triggered or is thought to be induced. Pre-senescence biomarkers are also important to consider as their presence indicate that induction of aging processes is taking place. The bona fide pathway leading to replicative senescence that has been extensively characterized is a consequence of gradual reduction...

  10. 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...

  11. Biomarkers, dementia, and public health.

    Science.gov (United States)

    Wright, C F; Hall, A; Matthews, F E; Brayne, C

    2009-10-01

    Public health is defined as the organized efforts of society to improve health. This is often framed in terms of prevention, with primary, secondary, and tertiary prevention representing, respectively, fundamental prevention through understanding of causation, to alteration of natural history, through understanding of pathophysiological mechanisms and palliation. Biomarkers play a role in all of these levels of prevention of dementias. The clearest application of biomarkers from a public health perspective is in the setting of screening. Screening has particular meaning for public health and includes early detection as a core element, coupled with treatments or preventative actions to reduce the burden of disease. Here, we will cover the range of evidence required if biomarkers are to play a part in population prevention of dementia, including scientific and technical aspects together with ethical, legal, and social considerations. Ensuring research activity that addresses these wider perspectives is essential.

  12. Usage Center

    DEFF Research Database (Denmark)

    Kleinaltenkamp, Michael; Plewa, Carolin; Gudergan, Siegfried

    2017-01-01

    -actor value cocreation, this paper is the first to comprehensively andcoherently conceptualize the notion of a usage center. In doing so, the authorsbuild an important foundation for future theorizing related to the potentialemergence of usage centers as well as the cocreation of individual andcollective...

  13. 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......-analysis would equal the one of its largest study. A significant summary effect size estimate was observed for 20 biomarkers. We observed an excess of statistically significant studies in 21 meta-analyses. The summary effect size of the meta-analysis was higher than the effect of its largest study in 25 meta...

  14. Collagen fragment biomarkers as serological biomarkers of lean body mass

    DEFF Research Database (Denmark)

    Nedergaard, A.; Dalgas, U.; Primdahl, H.

    2015-01-01

    ) or change therein in head and neck cancer patients in the Danish Head and Neck Cancer Group(DAHANCA) 25B cohort subjected to resistance training as well as in an age-matched and gender-matched control group. Methods Blood samples and dual X-ray absorptiometry data were measured at baseline, after 12 and 24...... derived from the dual X-ray absorptiometry scans. Results We were not able to show any correlation between biomarkers and LBM or C6M and anabolic response to exercise in recovering head and neck cancer patients. However, we did find that the biomarkers IC6, IC6/C6M, and ProC3 are biomarkers of LBM...... weeks in 41 HNSCC subjects of the DAHANCA 25B cohort of subjects recovering from neck and head cancer (stages provided in Table 1), and at baseline only in 21 healthy age-matched and gender-matched controls. Serum from blood was analyzed for the ProC3, IC6, and C6M peptide biomarkers and LBM were...

  15. Biomarkers for the prediction of acute ongoing arterial plaque rupture

    Directory of Open Access Journals (Sweden)

    Guo YL

    2013-07-01

    Full Text Available Yuan-Lin Guo, Jian-Jun Li Division of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China Abstract: Acute coronary syndrome (ACS is the main cause of mortality for coronary artery disease (CAD. Accordingly, earlier detection and diagnosis might be a key point for reducing the mortality in patients with ACS. One promising strategy is biomarker measurement in patients with ACS. Biomarkers are generally considered to be plasma measurements of molecules, proteins, or enzymes that provide independent diagnostic and prognostic values that can reflect underlying disease state and condition, especially repeated measurements. Nowadays, the most widely used biomarkers to identify or predict ACS are high sensitivity C-reactive protein (hs-CRP and high sensitivity troponin T/I (hs-TnT/I. The aim of the present review was principally to summarize recent evidence regarding some new biomarkers by which we could directly predict acute ongoing arterial plaque rupture, which may help to identify at-risk patients earlier than hs-CRP or hs-TnT/I. Keywords: matrix metalloproteinase-9, lipoprotein associated phospholipase A2, myeloperoxidase, soluble lectin-like oxidized low-density lipoprotein receptor-1, pregnancy-associated plasma protein A, placental growth factor, acute coronary syndrome

  16. 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"....

  17. Dietary biomarkers: advances, limitations and future directions

    National Research Council Canada - National Science Library

    Hedrick, Valisa E; Dietrich, Andrea M; Estabrooks, Paul A; Savla, Jyoti; Serrano, Elena; Davy, Brenda M

    2012-01-01

    ...) 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...

  18. Molecular and phenotypic biomarkers of aging

    OpenAIRE

    Xian Xia; Weiyang Chen; Joseph McDermott; Jing-Dong Jackie Han

    2017-01-01

    Individuals of the same age may not age at the same rate. Quantitative biomarkers of aging are valuable tools to measure physiological age, assess the extent of ‘healthy aging’, and potentially predict health span and life span for an individual. Given the complex nature of the aging process, the biomarkers of aging are multilayered and multifaceted. Here, we review the phenotypic and molecular biomarkers of aging. Identifying and using biomarkers of aging to improve human health, prevent age...

  19. Biomarkers of Parkinson's disease: recent insights, current challenges, and future prospects

    Directory of Open Access Journals (Sweden)

    Picillo M

    2016-02-01

    Full Text Available Marina Picillo,1 Marcello Moccia,2 Emanuele Spina,2 Paolo Barone,1 Maria Teresa Pellecchia1 1Department of Medicine and Surgery, Center for Neurodegenerative Diseases (CEMAND, Neuroscience Section, University of Salerno, Salerno, Italy; 2Department of Neuroscience, Reproductive and Odontostomatologic Sciences, Federico II University, Naples, Italy Abstract: A biomarker represents a tool possibly helping physicians in predicting onset, diagnosis, and progression of a disease as well as evaluating the response to disease-modifying treatments. Currently, there is no biomarker fulfilling all such ideal criteria for Parkinson's disease (PD. In this article, we have critically reviewed the literature searching for the most reliable and reproducible clinical, biochemical, and imaging biomarkers for prodromal phase, diagnosis, and progression of PD. Different comprehensive batteries of biomarkers have been proposed as a sensitive approach to predict the onset of PD during the prodromal phase. There is a discussion about the redefinition of the clinical diagnosis of PD, including clinical biomarkers as non-motor symptoms; however, on the other hand, we have also observed that imaging biomarkers support the differential diagnosis from other causes of parkinsonism. Various clinical (eg, freezing of gait or cognitive impairment, biochemical (eg, epidermal growth factor, insulin-like growth factor 1, uric acid, etc, and imaging (eg, functional magnetic resonance imaging, voxel-based morphometry, etc biomarkers may help envisaging disease progression of PD. To conclude, given the lack of a single biomarker that could track the entire course of the disease, our challenge is to find the best combinations of biomarkers for the different stages of the disease. Keywords: biomarkers, Parkinson's disease, progression, motor, imaging , staging, non motor

  20. New Developments in Biomarkers for Atopic Dermatitis

    NARCIS (Netherlands)

    Thijs, Judith L.; Seggelen, Wouter van; Bruijnzeel-Koomen, Carla; Bruin-Weller, Marjolein de; Hijnen, DirkJan

    2015-01-01

    The application of biomarkers in medicine is evolving. Biomarkers do not only give us a better understanding of pathogenesis, but also increase treatment efficacy and safety, further enabling more precise clinical care. This paper focuses on the current use of biomarkers in atopic dermatitis, new

  1. Clinical validity: defining biomarker performance

    NARCIS (Netherlands)

    Bossuyt, Patrick M. M.

    2010-01-01

    A central phase in the evaluation of a biomarker is the assessment of its clinical validity. In most cases, clinical validity will be expressed in terms of the marker's diagnostic accuracy: the degree to which it can be used to identify diseased patients or, more generally, patients with the target

  2. 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

  3. Electrochemical Genosensing of Circulating Biomarkers

    Science.gov (United States)

    Campuzano, Susana; Yáñez-Sedeño, Paloma; Pingarrón, José Manuel

    2017-01-01

    Management and prognosis of diseases requires the measurement in non- or minimally invasively collected samples of specific circulating biomarkers, consisting of any measurable or observable factors in patients that indicate normal or disease-related biological processes or responses to therapy. Therefore, on-site, fast and accurate determination of these low abundance circulating biomarkers in scarcely treated body fluids is of great interest for health monitoring and biological applications. In this field, electrochemical DNA sensors (or genosensors) have demonstrated to be interesting alternatives to more complex conventional strategies. Currently, electrochemical genosensors are considered very promising analytical tools for this purpose due to their fast response, low cost, high sensitivity, compatibility with microfabrication technology and simple operation mode which makes them compatible with point-of-care (POC) testing. In this review, the relevance and current challenges of the determination of circulating biomarkers related to relevant diseases (cancer, bacterial and viral infections and neurodegenerative diseases) are briefly discussed. An overview of the electrochemical nucleic acid–based strategies developed in the last five years for this purpose is given to show to both familiar and non-expert readers the great potential of these methodologies for circulating biomarker determination. After highlighting the main features of the reported electrochemical genosensing strategies through the critical discussion of selected examples, a conclusions section points out the still existing challenges and future directions in this field. PMID:28420103

  4. Biomarkers of (osteo)arthritis.

    Science.gov (United States)

    Mobasheri, Ali; Henrotin, Yves

    2015-01-01

    Arthritic diseases are a major cause of disability and morbidity, and cause an enormous burden for health and social care systems globally. Osteoarthritis (OA) is the most common form of arthritis. The key risk factors for the development of OA are age, obesity, joint trauma or instability. Metabolic and endocrine diseases can also contribute to the pathogenesis of OA. There is accumulating evidence to suggest that OA is a whole-organ disease that is influenced by systemic mediators, inflammaging, innate immunity and the low-grade inflammation induced by metabolic syndrome. Although all joint tissues are implicated in disease progression in OA, articular cartilage has received the most attention in the context of aging, injury and disease. There is increasing emphasis on the early detection of OA as it has the capacity to target and treat the disease more effectively. Indeed it has been suggested that this is the era of "personalized prevention" for OA. However, the development of strategies for the prevention of OA require new and sensitive biomarker tools that can detect the disease in its molecular and pre-radiographic stage, before structural and functional alterations in cartilage integrity have occurred. There is also evidence to support a role for biomarkers in OA drug discovery, specifically the development of disease modifying osteoarthritis drugs. This Special Issue of Biomarkers is dedicated to recent progress in the field of OA biomarkers. The papers in this Special Issue review the current state-of-the-art and discuss the utility of OA biomarkers as diagnostic and prognostic tools.

  5. Systems biology and biomarker discovery

    Energy Technology Data Exchange (ETDEWEB)

    Rodland, Karin D.

    2010-12-01

    Medical practitioners have always relied on surrogate markers of inaccessible biological processes to make their diagnosis, whether it was the pallor of shock, the flush of inflammation, or the jaundice of liver failure. Obviously, the current implementation of biomarkers for disease is far more sophisticated, relying on highly reproducible, quantitative measurements of molecules that are often mechanistically associated with the disease in question, as in glycated hemoglobin for the diagnosis of diabetes [1] or the presence of cardiac troponins in the blood for confirmation of myocardial infarcts [2]. In cancer, where the initial symptoms are often subtle and the consequences of delayed diagnosis often drastic for disease management, the impetus to discover readily accessible, reliable, and accurate biomarkers for early detection is compelling. Yet despite years of intense activity, the stable of clinically validated, cost-effective biomarkers for early detection of cancer is pathetically small and still dominated by a handful of markers (CA-125, CEA, PSA) first discovered decades ago. It is time, one could argue, for a fresh approach to the discovery and validation of disease biomarkers, one that takes full advantage of the revolution in genomic technologies and in the development of computational tools for the analysis of large complex datasets. This issue of Disease Markers is dedicated to one such new approach, loosely termed the 'Systems Biology of Biomarkers'. What sets the Systems Biology approach apart from other, more traditional approaches, is both the types of data used, and the tools used for data analysis - and both reflect the revolution in high throughput analytical methods and high throughput computing that has characterized the start of the twenty first century.

  6. Urinary biomarkers in pediatric appendicitis.

    Science.gov (United States)

    Salö, Martin; Roth, Bodil; Stenström, Pernilla; Arnbjörnsson, Einar; Ohlsson, Bodil

    2016-08-01

    The diagnosis of pediatric appendicitis is still a challenge, resulting in perforation and negative appendectomies. The aim of this study was to evaluate novel biomarkers in urine and to use the most promising biomarkers in conjunction with the Pediatric Appendicitis Score (PAS), to see whether this could improve the accuracy of diagnosing appendicitis. A prospective study of children with suspected appendicitis was conducted with assessment of PAS, routine blood tests, and measurements of four novel urinary biomarkers: leucine-rich α-2-glycoprotein (LRG), calprotectin, interleukin 6 (IL-6), and substance P. The biomarkers were blindly determined with commercial ELISAs. Urine creatinine was used to adjust for dehydration. The diagnosis of appendicitis was based on histopathological analysis. Forty-four children with suspected appendicitis were included, of which twenty-two (50 %) had confirmed appendicitis. LRG in urine was elevated in children with appendicitis compared to children without (p appendicitis compared to those with phlegmonous appendicitis (p = 0.003). No statistical significances between groups were found for calprotectin, IL-6 or substance P. LRG had a receiver operating characteristic area under the curve of 0.86 (95 % CI 0.79-0.99), and a better diagnostic performance than all routine blood tests. LRG in conjunction with PAS showed 95 % sensitivity, 90 % specificity, 91 % positive predictive value, and 95 % negative predictive value. LRG, adjusted for dehydration, is a promising novel urinary biomarker for appendicitis in children. LRG in combination with PAS has a high diagnostic performance.

  7. Biomarkers of (osteo)arthritis

    Science.gov (United States)

    Mobasheri, Ali; Henrotin, Yves

    2015-01-01

    Abstract Arthritic diseases are a major cause of disability and morbidity, and cause an enormous burden for health and social care systems globally. Osteoarthritis (OA) is the most common form of arthritis. The key risk factors for the development of OA are age, obesity, joint trauma or instability. Metabolic and endocrine diseases can also contribute to the pathogenesis of OA. There is accumulating evidence to suggest that OA is a whole-organ disease that is influenced by systemic mediators, inflammaging, innate immunity and the low-grade inflammation induced by metabolic syndrome. Although all joint tissues are implicated in disease progression in OA, articular cartilage has received the most attention in the context of aging, injury and disease. There is increasing emphasis on the early detection of OA as it has the capacity to target and treat the disease more effectively. Indeed it has been suggested that this is the era of “personalized prevention” for OA. However, the development of strategies for the prevention of OA require new and sensitive biomarker tools that can detect the disease in its molecular and pre-radiographic stage, before structural and functional alterations in cartilage integrity have occurred. There is also evidence to support a role for biomarkers in OA drug discovery, specifically the development of disease modifying osteoarthritis drugs. This Special Issue of Biomarkers is dedicated to recent progress in the field of OA biomarkers. The papers in this Special Issue review the current state-of-the-art and discuss the utility of OA biomarkers as diagnostic and prognostic tools. PMID:26954784

  8. Urinary biomarkers of meat consumption.

    Science.gov (United States)

    Cross, Amanda J; Major, Jacqueline M; Sinha, Rashmi

    2011-06-01

    Meat intake has been positively associated with incidence and mortality of chronic diseases, including diabetes, heart disease, and several different cancers, in observational studies by using self-report methods of dietary assessment; however, these dietary assessment methods are subject to measurement error. One method to circumvent such errors is the use of biomarkers of dietary intake, but currently there are no accepted biomarkers for meat intake. We investigated four analytes (creatinine, taurine, 1-methylhistidine, and 3-methylhistidine) specifically found in meat and excreted in urine. Twenty-four-hour urine samples were collected from 17 individuals on controlled diets containing varying levels of meat: vegetarian (0 g/d), low red meat (60 g/d), medium red meat (120 g/d), and high red meat (420 g/d), as part of two randomized crossover feeding studies. When compared with the low red meat diet or the vegetarian diet, the urinary levels of all four analytes were significantly higher in urine samples collected after 15 days of a high red meat diet (P < 0.0001). Only urinary 1-methylhistidine and 3-methylhistidine were statistically significantly different for every diet type, increasing as the amount of meat in the diet increased (P < 0.01 for 1-methylhistidine and P < 0.05 for 3-methylhistidine). Furthermore, urinary excretion of 1-methylhistidine and 3-methylhistidine elevated with increasing meat intake in every individual. Urinary 1-methylhistidine and 3-methylhistidine may be good biomarkers of meat intake. To determine the public health impact of red meat on cancer risk, biomarkers are crucial to estimate true intake; these potential biomarkers should be further investigated in free-living populations. ©2011 AACR.

  9. Translational implications of inflammatory biomarkers and cytokine networks in psychoneuroimmunology.

    Science.gov (United States)

    Yan, Qing

    2012-01-01

    Developments in psychoneuroimmunology (PNI) need to be translated into personalized medicine to achieve better clinical outcomes. One of the most critical steps in this translational process is to identify systemic biomarkers for better diagnosis and treatment. Applications of systems biology approaches in PNI would enable the insights into the correlations among various systems and different levels for the identification of the basic elements of the psychophysiological framework. Among the potential PNI biomarkers, inflammatory markers deserve special attention as they play a pivotal role linking various health conditions and disorders. The elucidation of inflammatory markers, cytokine networks, and immune-brain-behavior interactions may help establish PNI profiles for the identification of potential targets for personalized interventions in at risk populations. The understanding of the general systemic pathways among different disorders may contribute to the transition from the disease-centered medicine to patient-centered medicine. Integrative strategies targeting these factors and pathways would be useful for the prevention and treatment of a spectrum of diseases that share the common links. Examples of the translational implications of potential PNI biomarkers and networks in diseases including depression, Alzheimer's disease, obesity, cardiovascular disease, stroke, and HIV are discussed in details.

  10. Cancer Biomarkers | Division of Cancer Prevention

    Science.gov (United States)

    [[{"fid":"175","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":"Cancer Biomarkers Research Group Homepage Logo","field_file_image_title_text[und][0][value]":"Cancer Biomarkers Research Group Homepage Logo","field_folder[und]":"15"},"type":"media","attributes":{"alt":"Cancer Biomarkers Research Group Homepage Logo","title":"Cancer Biomarkers Research Group Homepage Logo","height":"266","width":"400","style":"width: 400px; height: 266px;","class":"i | Research to identify, develop and validate biomarkers for early cancer detection and risk assessment.

  11. Comparison of Different Anthropometric Measurements and Inflammatory Biomarkers

    Directory of Open Access Journals (Sweden)

    Yaron Arbel

    2012-01-01

    Full Text Available Introduction. Different anthropometric variables have been shown to be related to cardiovascular morbidity and mortality. Our aim was to compare the association between different anthropometric measurements and inflammatory status. Methods and results. A cross-sectional study design in which we analyzed the data collected during a five-year period in the Tel Aviv Medical Center Inflammation Survey (TAMCIS. Included in the study were 13,033 apparently healthy individuals at a mean (SD age of 43. Of these, 8,292 were male and 4,741 female. A significant age-adjusted and multiple-adjusted partial correlation was noted between all anthropometric measurements and all inflammatory biomarkers. There was no significant difference in the correlation coefficients between different biomarkers and anthropometric variables. Conclusion. Most of the common used anthropometric variables are similarly correlated with inflammatory variables. The clinician can choose the variable that he/she finds easiest to use.

  12. Advancing the development of diagnostic tests and biomarkers for tuberculosis.

    Science.gov (United States)

    Yasinskaya, Y; Plikaytis, B; Sizemore, C; Sacks, L

    2011-07-01

    High costs and limited returns on investment have hampered progress in developing new diagnostic tests and treatments for tuberculosis (TB). We need new biomarkers to develop assays that can rapidly, efficiently and reliably detect Mycobacterium tuberculosis infection and disease, identify drug resistance and expedite drug and vaccine development. This can only be accomplished through cross-disciplinary collaborations to facilitate access to human specimens. The Food and Drug Administration, Centers for Disease Control and Prevention, National Institutes of Health, the industry and academia experts came together in a June 2010 workshop to examine the field of TB diagnostic test development and biomarker discovery, identify areas of most urgent need and formulate strategies to address those needs.

  13. Biomarkers of PTSD: military applications and considerations

    Directory of Open Access Journals (Sweden)

    Amy Lehrner

    2014-08-01

    Full Text Available Background: Although there are no established biomarkers for posttraumatic stress disorder (PTSD as yet, biological investigations of PTSD have made progress identifying the pathophysiology of PTSD. Given the biological and clinical complexity of PTSD, it is increasingly unlikely that a single biomarker of disease will be identified. Rather, investigations will more likely identify different biomarkers that indicate the presence of clinically significant PTSD symptoms, associate with risk for PTSD following trauma exposure, and predict or identify recovery. While there has been much interest in PTSD biomarkers, there has been less discussion of their potential clinical applications, and of the social, legal, and ethical implications of such biomarkers. Objective: This article will discuss possible applications of PTSD biomarkers, including the social, legal, and ethical implications of such biomarkers, with an emphasis on military applications. Method: Literature on applications of PTSD biomarkers and on potential ethical and legal implications will be reviewed. Results: Biologically informed research findings hold promise for prevention, assessment, treatment planning, and the development of prophylactic and treatment interventions. As with any biological indicator of disorder, there are potentially positive and negative clinical, social, legal, and ethical consequences of using such biomarkers. Conclusions: Potential clinical applications of PTSD biomarkers hold promise for clinicians, patients, and employers. The search for biomarkers of PTSD should occur in tandem with an interdisciplinary discussion regarding the potential implications of applying biological findings in clinical and employment settings.

  14. Candidate immune biomarkers for radioimmunotherapy.

    Science.gov (United States)

    Levy, Antonin; Nigro, Giulia; Sansonetti, Philippe J; Deutsch, Eric

    2017-08-01

    Newly available immune checkpoint blockers (ICBs), capable to revert tumor immune tolerance, are revolutionizing the anticancer armamentarium. Recent evidence also established that ionizing radiation (IR) could produce antitumor immune responses, and may as well synergize with ICBs. Multiple radioimmunotherapy combinations are thenceforth currently assessed in early clinical trials. Past examples have highlighted the need for treatment personalization, and there is an unmet need to decipher immunological biomarkers that could allow selecting patients who could benefit from these promising but expensive associations. Recent studies have identified potential predictive and prognostic immune assays at the cellular (tumor microenvironment composition), genomic (mutational/neoantigen load), and peripheral blood levels. Within this review, we collected the available evidence regarding potential personalized immune biomarker-directed radiation therapy strategies that might be used for patient selection in the era of radioimmunotherapy. Copyright © 2017. Published by Elsevier B.V.

  15. Potential biomarker of metformin action.

    Science.gov (United States)

    He, Ling; Meng, Shumei; Germain-Lee, Emily L; Radovick, Sally; Wondisford, Fredric E

    2014-06-01

    Metformin is a first-line, anti-diabetic agent prescribed to over 150 million people worldwide. The main effect of metformin is to suppress glucose production in the liver; however, there is no reliable biomarker to assess the effectiveness of metformin administration. Our previous studies have shown that phosphorylation of CBP at S436 is important for the regulation of hepatic glucose production by metformin. In current study, we found that CBP could be phosphorylated in white blood cells (WBCs), and CBP phosphorylation in the liver and in WBCs of mice had a similar pattern of change during a fasting time course experiment. These data suggests that CBP phosphorylation in WBCs may be used as a biomarker of metformin action in the liver. © 2014 Society for Endocrinology.

  16. 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.

  17. 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.

  18. [Cardiorenal syndrome - biomarkers and mediators].

    Science.gov (United States)

    Charvát, Jiří

    Symptomatic cardiorenal syndrome presents the clinical condition with the serious prognosis when treatment is hardly succesful. A lot of inflammatory and hormonal factors used as biomarkers in clinical practice participate on the initiation, development and progression of cardiorenal syndrome. It means they play role of mediators between heart and kidney and therefore have the significant position in clinical presentation. However the mutual relations between heart and kidney are formed earlier already in the asymptomatic period. The detection of such changes and its correction is the real challenge. The follow-up of hormonal changes and its modulation might be one of the promising approach.Key words: cardiorenal syndrome - biomarker - mediator - inflammatory factors - circulated hormones.

  19. Potential Biomarker of Metformin Action

    OpenAIRE

    He, Ling; Meng, Shumei; Germain-Lee, Emily L.; Radovick, Sally; Wondisford, Fredric E.

    2014-01-01

    Metformin is a first-line, anti-diabetic agent prescribed to over 150 million people worldwide. The main effect of metformin is to suppress glucose production in the liver; however, there is no reliable biomarker to assess the effectiveness of metformin administration. Our previous studies have shown that phosphorylation of CBP at S436 is important for the regulation of hepatic glucose production by metformin. In current study, we found that CBP could be phosphorylated in white blood cells (W...

  20. Biomarkers in Advanced Larynx Cancer

    Science.gov (United States)

    Bradford, Carol R.; Kumar, Bhavna; Bellile, Emily; Lee, Julia; Taylor, Jeremy; D’Silva, Nisha; Cordell, Kitrina; Kleer, Celina; Kupfer, Robbi; Kumar, Pawan; Urba, Susan; Worden, Francis; Eisbruch, Avraham; Wolf, Gregory T.; Teknos, Theodoros N.; Prince, Mark E.P.; Chepeha, Douglas B.; Hogikyan, Norman D.; Moyer, Jeffrey S.; Carey, Thomas E.

    2014-01-01

    Objectives/Hypothesis To determine if tumor biomarkers were predictive of outcome in a prospective cohort of patients with advanced larynx cancer treated in a phase II clinical trial. Study Design Prospectively collected biopsy specimens from 58 patients entered into a Phase II trial of organ preservation in advanced laryngeal cancer were evaluated for expression of a large panel of biomarkers and correlations with outcome were determined. Methods Tissue microarrays were constructed from pretreatment biopsies and stained for cyclin D1, CD24, EGFR, MDM2, PCNA, p53, survivin, Bcl-xL, Bcl-2, BAK, rhoC, and NFκB. Pattern of invasion and p53 mutations were assessed. Correlations with overall survival (OS), disease-specific survival (DSS), time free from indication of surgery, induction chemotherapy response, and chemoradiation response were determined. Cox models were used to assess combinations of these biomarkers. Results Low expression of BAK was associated with response to induction chemotherapy. Low expression of BAK and cytoplasmic NFκB was associated with chemoradiation response. Aggressive histologic growth pattern was associated with response induction chemotherapy. Expression of cyclin D1 was predictive of overall and disease-specific survival. Overexpression of EGFR was also associated with an increased risk of death from disease. Bcl-xL expression increased significantly in persistent/recurrent tumors specimens when compared to pretreatment specimens derived from the same patient (p = 0.0003). Conclusions Evaluation of biomarker expression in pretreatment biopsy specimens can lend important predictive and prognostic information for patients with advanced larynx cancer. PMID:23775802

  1. Biomarkers in Acute Coronary Syndrome

    Directory of Open Access Journals (Sweden)

    Valentina Loria

    2008-01-01

    Full Text Available Background: Evaluation of patients who present to the hospital with acute undifferentiated chest pain or other symptoms and signs suggestive of Acute Coronary Syndrome (ACS is often a clinical challenge.The initial assessment, requiring a focused history (including risk factors analysis, a physical examination, an electrocardiogram (EKG and serum cardiac marker determination, is time-consuming and troublesome. Recent investigations have indicated that increases in biomarkers of necrosis, inflammation, ischemia and myocardial stretch may provide earlier assessment of overall patient risk, help in identifying the adequate diagnostic and therapeutic management for each patient and allow for prevention of substantial numbers of new events.Approach and Content: The purpose of this review is to provide an overview of the characteristics of several biomarkers that may have potential clinical utility to identify ACS patients. Patho-physiology, analytical and clinical characteristics have been evaluated for each marker, underlying the properties for potential routine clinical use.Summary: The biomarkers discussed in this review are promising and might lead to improved diagnosis and risk stratification of patients with ACS, however their clinical application requires further studies. It is important to define their clinical role as diagnostic markers, their predictive value and the specificity, standardization and detection limits of the assays.

  2. Translating biomarkers from research to clinical use in pediatric neurocritical care: focus on traumatic brain injury and cardiac arrest.

    Science.gov (United States)

    Prout, Andrew J; Wolf, Michael S; Fink, Ericka L

    2017-06-01

    Traumatic brain injury (TBI) and cardiac arrest are important causes of morbidity and mortality in children. Improved diagnosis and outcome prognostication using validated biomarkers could allow clinicians to better tailor therapies for optimal efficacy. Contemporary investigation has yielded plentiful biomarker candidates of central nervous system (CNS) injury, including macromolecules, genetic, inflammatory, oxidative, and metabolic biomarkers. Biomarkers have yet to be validated and translated into bedside point-of-care or cost-effective and efficient laboratory tests. Validation testing should consider developmental status, injury mechanism, and time trajectory with patient-centered outcomes. Recent investigation of biomarkers of CNS injury may soon improve diagnosis, management, and prognostication in children with traumatic brain injury and cardiac arrest.

  3. PSA and beyond: alternative prostate cancer biomarkers

    Science.gov (United States)

    2016-01-01

    Background The use of biomarkers for prostate cancer screening, diagnosis and prognosis has the potential to improve the clinical management of the patients. Owing to inherent limitations of the biomarker prostate-specific antigen (PSA), intensive efforts are currently directed towards a search for alternative prostate cancer biomarkers, particularly those that can predict disease aggressiveness and drive better treatment decisions. Methods A literature search of Medline articles focused on recent and emerging advances in prostate cancer biomarkers was performed. The most promising biomarkers that have the potential to meet the unmet clinical needs in prostate cancer patient management and/or that are clinically implemented were selected. Conclusions With the advent of advanced genomic and proteomic technologies, we have in recent years seen an enormous spurt in prostate cancer biomarker research with several promising alternative biomarkers being discovered that show an improved sensitivity and specificity over PSA. The new generation of biomarkers can be tested via serum, urine, or tissue-based assays that have either received regulatory approval by the US Food and Drug Administration or are available as Clinical Laboratory Improvement Amendments-based laboratory developed tests. Additional emerging novel biomarkers for prostate cancer, including circulating tumor cells, microRNAs and exosomes, are still in their infancy. Together, these biomarkers provide actionable guidance for prostate cancer risk assessment, and are expected to lead to an era of personalized medicine. PMID:26790878

  4. Biomarker induction in tropical fish species on the Northwest Shelf of Australia by produced formation water

    OpenAIRE

    Zhu, Shiqian; King, Susan Codi; Haasch, Mary L.

    2008-01-01

    Biomarker induction in tropical fish species on the Northwest Shelf of Australia by produced formation water correspondence: Corresponding author. (Haasch, Mary L.) (Haasch, Mary L.) Environmental Toxicology Research Program, National Center for Natural Products Research, Pharmacology Department, School of Pharmacy, The University of Mississippi, University - MS. 38677--> - (Zhu, Shiqian) Australian Institute ...

  5. Biomarker Correlates of Survival in Pediatric Patients with Ebola Virus Disease

    Centers for Disease Control (CDC) Podcasts

    2014-08-19

    Dr. Mike Miller reads an abridged version of the article, Biomarker Correlates of Survival in Pediatric Patients with Ebola Virus Disease.  Created: 8/19/2014 by National Center for Emerging and Zoonotic Infectious Diseases (NCEZID).   Date Released: 8/19/2014.

  6. Randomized Clinical Trials With Biomarkers: Design Issues

    Science.gov (United States)

    McShane, Lisa M.; Korn, Edward L.

    2010-01-01

    Clinical biomarker tests that aid in making treatment decisions will play an important role in achieving personalized medicine for cancer patients. Definitive evaluation of the clinical utility of these biomarkers requires conducting large randomized clinical trials (RCTs). Efficient RCT design is therefore crucial for timely introduction of these medical advances into clinical practice, and a variety of designs have been proposed for this purpose. To guide design and interpretation of RCTs evaluating biomarkers, we present an in-depth comparison of advantages and disadvantages of the commonly used designs. Key aspects of the discussion include efficiency comparisons and special interim monitoring issues that arise because of the complexity of these RCTs. Important ongoing and completed trials are used as examples. We conclude that, in most settings, randomized biomarker-stratified designs (ie, designs that use the biomarker to guide analysis but not treatment assignment) should be used to obtain a rigorous assessment of biomarker clinical utility. PMID:20075367

  7. 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.

  8. A Review of Cutoffs for Nutritional Biomarkers.

    Science.gov (United States)

    Raghavan, Ramkripa; Ashour, Fayrouz Sakr; Bailey, Regan

    2016-01-01

    The nutritional status of an individual or population needs to be assessed through valid and reliable biomarkers. Cutoffs generally have an underlying relation to health status and are one of the important quantitative criteria against which biomarker outputs are compared. For this reason, cutoffs are integral for surveys, surveillance, screening, interventions, monitoring, and evaluation. Despite their importance, nutritional biomarker cutoffs have not been adequately addressed in the literature. Furthermore, the field has not reached a consensus on which cutoff to use for each biomarker, and different cutoffs are often used for the same biomarkers in published studies. This review provides a comprehensive overview of cutoffs related to nutritional biomarkers and highlights some of the high-priority research gaps and challenges of using micronutrient case studies. © 2016 American Society for Nutrition.

  9. Circulating Biomarkers for Duchenne Muscular Dystrophy.

    Science.gov (United States)

    Aartsma-Rus, Annemieke; Spitali, Pietro

    2015-07-22

    Duchenne muscular dystrophy is the most common form of muscular dystrophy. Genetic and biochemical research over the years has characterized the cause, pathophysiology and development of the disease providing several potential therapeutic targets and/or biomarkers. High throughput - omic technologies have provided a comprehensive understanding of the changes occurring in dystrophic muscles. Murine and canine animal models have been a valuable source to profile muscles and body fluids, thus providing candidate biomarkers that can be evaluated in patients. This review will illustrate known circulating biomarkers that could track disease progression and response to therapy in patients affected by Duchenne muscular dystrophy. We present an overview of the transcriptomic, proteomic, metabolomics and lipidomic biomarkers described in literature. We show how studies in muscle tissue have led to the identification of serum and urine biomarkers and we highlight the importance of evaluating biomarkers as possible surrogate endpoints to facilitate regulatory processes for new medicinal products.

  10. Cardiovascular disease biomarkers across autoimmune diseases.

    Science.gov (United States)

    Ahearn, Joseph; Shields, Kelly J; Liu, Chau-Ching; Manzi, Susan

    2015-11-01

    Cardiovascular disease is increasingly recognized as a major cause of premature mortality among those with autoimmune disorders. There is an urgent need to identify those patients with autoimmune disease who are at risk for CVD so as to optimize therapeutic intervention and ultimately prevention. Accurate identification, monitoring and stratification of such patients will depend upon a panel of biomarkers of cardiovascular disease. This review will discuss some of the most recent biomarkers of cardiovascular diseases in autoimmune disease, including lipid oxidation, imaging biomarkers to characterize coronary calcium, plaque, and intima media thickness, biomarkers of inflammation and activated complement, genetic markers, endothelial biomarkers, and antiphospholipid antibodies. Clinical implementation of these biomarkers will not only enhance patient care but also likely accelerate the pharmaceutical pipeline for targeted intervention to reduce or eliminate cardiovascular disease in the setting of autoimmunity. Copyright © 2015 Elsevier Inc. All rights reserved.

  11. Cells, Biomarkers, and Posttraumatic Stress Disorder: Evidence for Peripheral Involvement in a Central Disease

    Science.gov (United States)

    2012-01-01

    Naval Health Research Center Cells, Biomarkers and Post -traumatic Stress Disorder: Evidence for Peripheral Involvement in A Central Disease ...factor- 1; TBI, traumatic brain injury; TNF, tumor necrosis factor. Naval Health Research Center, San Diego, California, USA Abstract Post -traumatic...microglia in comparison with those with spleens (Ajmo et al. 2008). After an ischemic stroke was induced, the rats with spleens showed more CNS tissue

  12. Characterization of renal biomarkers for use in clinical trials: biomarker evaluation in healthy volunteers

    National Research Council Canada - National Science Library

    Brott, David A; Adler, Scott H; Arani, Ramin; Lovick, Susan C; Pinches, Mark; Furlong, Stephen T

    2014-01-01

    ..., and this study was designed to characterize some of the novel clinical renal biomarkers. The objective of this study was to evaluate clinical renal biomarkers in a typical Phase I healthy volunteer population to determine confidence intervals...

  13. Biomarkers of selenium status in dogs

    OpenAIRE

    Van Zelst, Marielle; Hesta, Myriam; Gray, Kerry; Staunton, Ruth; Du Laing, Gijs; Janssens, Geert

    2016-01-01

    Background: Inadequate dietary selenium (Se) intake in humans and animals can lead to long term health problems, such as cancer. In view of the owner's desire for healthy longevity of companion animals, the impact of dietary Se provision on long term health effects warrants investigation. Little is currently known regards biomarkers, and rate of change of such biomarkers in relation to dietary selenium intake in dogs. In this study, selected biomarkers were assessed for their suitability to d...

  14. Cetuximab and biomarkers in non-small-cell lung carcinoma

    Directory of Open Access Journals (Sweden)

    Patil N

    2012-07-01

    Full Text Available Nitin Patil, Mohammed Abba, Heike AllgayerDepartment of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg and Molecular Oncology of Solid Tumors Unit, German Cancer Research Center (DKFZ, Heidelberg, GermanyAbstract: Cancer progression is a highly complex process that is driven by a constellation of deregulated signaling pathways and key molecular events. In non-small-cell lung cancer (NSCLC, as in several other cancer types, the epidermal growth factor receptor (EGFR and its downstream signaling components represent a key axis that has been found not only to trigger cancer progression but also to support advanced disease leading to metastasis. Two major therapeutic approaches comprising monoclonal antibodies and small molecule tyrosine kinase inhibitors have so far been used to target this pathway, with a combination of positive, negative, and inconsequential results, as judged by patient survival indices. Since these drugs are expensive and not all patients derive benefits from taking them, it has become both pertinent and paramount to identify biomarkers that can predict not only beneficial response but also resistance. This review focuses on the chimeric monoclonal antibody, cetuximab, its application in the treatment of NSCLC, and the biomarkers that may guide its use in the clinical setting. A special emphasis is placed on the EGFR, including its structural and mechanistic attributes.Keywords: NSCLC, cetuximab, biomarker, cancer progression

  15. Emerging clinical applications of selected biomarkers in melanoma

    Directory of Open Access Journals (Sweden)

    Tetzlaff MT

    2015-01-01

    Full Text Available Michael T Tetzlaff,1 Carlos A Torres-Cabala,1,2 Penvadee Pattanaprichakul,1,3 Ronald P Rapini,2 Victor G Prieto,1,2 Jonathan L Curry1,21Department of Pathology, Section of Dermatopathology, 2Department of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; 3Department of Dermatology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, ThailandAbstract: Melanoma is a lethal skin disease with a mostly predictable clinical course according to a known constellation of clinical and pathologic features. The distinction of melanoma from benign melanocytic nevus is typically unequivocol; however, there is a subset of tumors known for its diagnostic challenges, development of late metastases, and difficulties in treatment. Several melanocytic tissue biomarkers are available that can facilitate the histopathologic interpretation of melanoma as well as provide insight into the biologic potential and mutational status of this disease. This review describes the clinical application of some of these established and emerging tissue biomarkers available to assess melanocytic differentiation, vascular invasion, mitotic capacity, and mutation status. The selected tissue biomarkers in this review include MiTF, Sox10, D2-40, PHH3, H3KT (anti-H3K79me3T80ph, anti-BRAFV600E, and anti-BAP-1.Keywords: immunohistochemistry, melanocytic differentiation, histone marks, BRAFV600E

  16. Biomarkers of Potential Harm: Summary of an FDA-Sponsored Public Workshop.

    Science.gov (United States)

    Chang, Cindy M; Cheng, Yu-Ching; Cho, Matthew; Mishina, Elena; Del Valle-Pinero, Arseima Y; van Bemmel, Dana; Hatsukami, Dorothy K

    2017-12-14

    Since 2009, the United States (U.S.) Food and Drug Administration (FDA) Center for Tobacco Products (CTP) has had the authority to regulate the manufacture, distribution, and marketing of tobacco products in order to reduce the death and disease caused by tobacco use. Biomarkers could play an important role across a number of FDA regulatory activities, including assessing new and modified risk tobacco products and identifying and evaluating potential product standards. On April 4-5, 2016, FDA/CTP hosted a public workshop focused on biomarkers of potential harm (BOPH) with participants from government, industry, academia, and other organizations. The workshop was divided into five sessions focused on: 1) overview of BOPH; 2) cardiovascular disease (CVD); 3) chronic obstructive pulmonary disease (COPD); 4) cancer; and 5) new areas of research. The deliberations from the workshop noted some promising BOPH but also highlighted the lack of systematic effort to identify BOPH that would have utility and validity for evaluating tobacco products. Research areas that could further strengthen the applicability of BOPH to tobacco regulatory science include the exploration of composite biomarkers as predictors of disease risk, "omics" biomarkers, and examining biomarkers using existing cohorts, surveys and experimental studies. This paper synthesizes the main findings from the 2016 FDA-sponsored workshop focused on biomarkers of potential harm (BOPH) and highlights research areas that could further strengthen the science around BOPH and their applicability to tobacco regulatory science.

  17. Developing biomarkers for methamphetamine addiction.

    Science.gov (United States)

    Mendelson, John; Baggott, Matthew J; Flower, Keith; Galloway, Gantt

    2011-03-01

    There are an estimated 11.7 million methamphetamine (MA) abusers in the United States and epidemics of MA addiction are occurring worldwide. In our human laboratory and outpatient clinical trials we use innovative methods to quantify the severity of MA addiction and test biomarkers that may predict response to therapy or risk of relapse. One potential biomarker of addiction is the quantity of abused drug intake. Qualitative urinalysis is used in clinical trials and during treatment but provides only a binary outcome measure of abuse. Using non-pharmacologic doses of deuterium labeled l-MA we have developed a continuous quantitative measure to estimate the bioavailable amount of MA addicts ingest. Brain Derived Neurotrophic Factor is a neurotrophin that encourages growth and differentiation of new neurons and synapses. Low BDNF levels are seen in many addictive disorders and BDNF is elevated in recovering MA addicts, suggesting BDNF may be a marker of MA addiction. We are investigating the effects of controlled doses of MA on BDNF levels and gene regulation and measuring BDNF in our clinical trials. We believe both patients and clinical researches will benefit from the addition of new, objective and quantifiable outcome measures that reflect disease severity and recovery from addiction.

  18. Proteomic Biomarkers for Spontaneous Preterm Birth

    DEFF Research Database (Denmark)

    Kacerovsky, Marian; Lenco, Juraj; Musilova, Ivana

    2014-01-01

    This review aimed to identify, synthesize, and analyze the findings of studies on proteomic biomarkers for spontaneous preterm birth (PTB). Three electronic databases (Medline, Embase, and Scopus) were searched for studies in any language reporting the use of proteomic biomarkers for PTB published...

  19. MicroRNA biomarkers in glioblastoma

    DEFF Research Database (Denmark)

    Hermansen, Simon Kjær; Kristensen, Bjarne Winther

    2013-01-01

    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...

  20. Biomarkers of Renal Function : Towards Clinical Actionability

    NARCIS (Netherlands)

    Binnenmars, S Heleen; Hijmans, R S; Navis, G; de Borst, M H

    This review provides an overview of the clinical value of themost relevant renal biomarkers, focusing on two main clinical conditions: acute kidney injury and chronic kidney disease. We categorize biomarkers according to their actionability, in terms of a documented response to treatment in relation

  1. Biomarkers in asthma and allergic rhinitis

    NARCIS (Netherlands)

    Diamant, Z.; Boot, J. D.; Mantzouranis, E.; Flohr, R.; Sterk, P. J.; Gerth van Wijk, R.

    2010-01-01

    A biological marker (biomarker) is a physical sign or laboratory measurement that can serve as an indicator of biological or pathophysiological processes or as a response to a therapeutic intervention. An applicable biomarker possesses the characteristics of clinical relevance (sensitivity and

  2. DNA Methylation Biomarkers: Cancer and Beyond

    Science.gov (United States)

    Mikeska, Thomas; Craig, Jeffrey M.

    2014-01-01

    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. PMID:25229548

  3. Stable isotopes and biomarkers in microbial ecology

    NARCIS (Netherlands)

    Boschker, H.T.S.; Middelburg, J.J.

    2002-01-01

    The use of biomarkers in combination with stable isotope analysis is a new approach in microbial ecology and a number of papers on a variety of subjects have appeared. We will first discuss the techniques for analysing stable isotopes in biomarkers, primarily gas chromatography-combustion-isotope

  4. Imaging biomarker roadmap for cancer studies

    NARCIS (Netherlands)

    O'Connor, James P. B.; Aboagye, Eric O.; Adams, Judith E.; Aerts, Hugo J. W. L.; Barrington, Sally F.; Beer, Ambros J.; Boellaard, Ronald; Bohndiek, Sarah E.; Brady, Michael; Brown, Gina; Buckley, David L.; Chenevert, Thomas L.; Clarke, Laurence P.; Collette, Sandra; Cook, Gary J.; Desouza, Nandita M.; Dickson, John C.; Dive, Caroline; Evelhoch, Jeffrey L.; Faivre-Finn, Corinne; Gallagher, Ferdia A.; Gilbert, Fiona J.; Gillies, Robert J.; Goh, Vicky; Griffiths, J. R.; Groves, Ashley M.; Halligan, Steve; Harris, Adrian L.; Hawkes, David J.; Hoekstra, Otto S.; Huang, Erich P.; Hutton, Brian F.; Jackson, Edward F.; Jayson, Gordon C.; Jones, Andrew; Koh, Dow-Mu; Lacombe, Denis; Lambin, Philippe; Lassau, Nathalie; Leach, Martin O.; Lee, Ting-Yim; Leen, Edward L.; Lewis, Jason S.; Liu, Yan; Lythgoe, Mark F.; Manoharan, Prakash; Maxwell, Ross J.; Miles, Kenneth A.; Morgan, Bruno; Morris, Steve; Ng, Tony; Padhani, Anwar R.; Parker, Geoff J. M.; Partridge, Mike; Pathak, Arvind P.; Peet, Andrew C.; Punwani, Shonit; Reynolds, Andrew R.; Robinson, Simon P.; Shankar, Lalitha K.; Sharma, Ricky A.; Soloviev, Dmitry; Stroobants, Sigrid G.; Sullivan, Daniel C.; Taylor, Stuart A.; Tofts, Paul S.; Tozer, Gillian M.; van Herk, Marcel B.; Walker-Samuel, Simon; Wason, James; Williams, Kaye J.; Workman, Paul; Yankeelov, Thomas E.; Brindle, Kevin M.; McShane, Lisa M.; Jackson, Alan; Waterton, John C.

    Imaging biomarkers (IBs) are integral to the routine management of patients with cancer. IBs used daily in oncology include clinical TNM stage, objective response and left ventricular ejection fraction. Other CT, MRI, PET and ultrasonography biomarkers are used extensively in cancer research and

  5. Bias in emerging biomarkers for bipolar disorder

    DEFF Research Database (Denmark)

    Carvalho, A F; Köhler, C A; Fernandes, B S

    2016-01-01

    BACKGROUND: To date no comprehensive evaluation has appraised the likelihood of bias or the strength of the evidence of peripheral biomarkers for bipolar disorder (BD). Here we performed an umbrella review of meta-analyses of peripheral non-genetic biomarkers for BD. METHOD: The Pubmed/Medline, E...

  6. 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.

  7. Neurophysiological biomarkers for Lewy body dementias

    Science.gov (United States)

    Cromarty, Ruth A.; Elder, Greg J.; Graziadio, Sara; Baker, Mark; Bonanni, Laura; Onofrj, Marco; O’Brien, John T.; Taylor, John-Paul

    2016-01-01

    Objective Lewy body dementias (LBD) include both dementia with Lewy bodies (DLB) and Parkinson’s disease with dementia (PDD), and the differentiation of LBD from other neurodegenerative dementias can be difficult. Currently, there are few biomarkers which might assist early diagnosis, map onto LBD symptom severity, and provide metrics of treatment response. Traditionally, biomarkers in LBD have focussed on neuroimaging modalities; however, as biomarkers need to be simple, inexpensive and non-invasive, neurophysiological approaches might also be useful as LBD biomarkers. Methods In this review, we searched PubMED and PsycINFO databases in a semi-systematic manner in order to identify potential neurophysiological biomarkers in the LBDs. Results We identified 1491 studies; of these, 37 studies specifically examined neurophysiological biomarkers in LBD patients. We found that there was substantial heterogeneity with respect to methodologies and patient cohorts. Conclusion Generally, many of the findings have yet to be replicated, although preliminary findings reinforce the potential utility of approaches such as quantitative electroencephalography and motor cortical stimulation paradigms. Significance Various neurophysiological techniques have the potential to be useful biomarkers in the LBDs. We recommend that future studies focus on maximising the diagnostic specificity and sensitivity of the most promising neurophysiological biomarkers. PMID:26183755

  8. Cytokines as Biomarkers in Rheumatoid Arthritis

    Science.gov (United States)

    Burska, Agata; Boissinot, Marjorie; Ponchel, Frederique

    2014-01-01

    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. PMID:24733962

  9. A Selective Biomarker Panel Increases the Reproducibility and the Accuracy in Endometrial Biopsy Diagnosis

    DEFF Research Database (Denmark)

    Nastic, Denis; Shanwell, Emma; Wallin, Keng-Ling

    2017-01-01

    Grading and histologic typing of endometrial cancer in biopsy material has a direct impact on the decision to perform lymphadenectomy and/or omentectomy in many cancer centers. Endometrial biopsies are among the most common general surgical pathology specimens. Multiple studies have shown...... that biopsy diagnosis suffers from a lack of reproducibility. Although many biomarkers have been proposed, none have been demonstrated to improve the diagnosis in the biopsy setting. In this study, 70 biopsies with endometrial carcinoma were supplemented with a biomarker panel consisting of ER, PR, P53...

  10. Pathway mapping and development of disease-specific biomarkers: protein-based network biomarkers

    Science.gov (United States)

    Chen, Hao; Zhu, Zhitu; Zhu, Yichun; Wang, Jian; Mei, Yunqing; Cheng, Yunfeng

    2015-01-01

    It is known that a disease is rarely a consequence of an abnormality of a single gene, but reflects the interactions of various processes in a complex network. Annotated molecular networks offer new opportunities to understand diseases within a systems biology framework and provide an excellent substrate for network-based identification of biomarkers. The network biomarkers and dynamic network biomarkers (DNBs) represent new types of biomarkers with protein–protein or gene–gene interactions that can be monitored and evaluated at different stages and time-points during development of disease. Clinical bioinformatics as a new way to combine clinical measurements and signs with human tissue-generated bioinformatics is crucial to translate biomarkers into clinical application, validate the disease specificity, and understand the role of biomarkers in clinical settings. In this article, the recent advances and developments on network biomarkers and DNBs are comprehensively reviewed. How network biomarkers help a better understanding of molecular mechanism of diseases, the advantages and constraints of network biomarkers for clinical application, clinical bioinformatics as a bridge to the development of diseases-specific, stage-specific, severity-specific and therapy predictive biomarkers, and the potentials of network biomarkers are also discussed. PMID:25560835

  11. Pathway mapping and development of disease-specific biomarkers: protein-based network biomarkers.

    Science.gov (United States)

    Chen, Hao; Zhu, Zhitu; Zhu, Yichun; Wang, Jian; Mei, Yunqing; Cheng, Yunfeng

    2015-02-01

    It is known that a disease is rarely a consequence of an abnormality of a single gene, but reflects the interactions of various processes in a complex network. Annotated molecular networks offer new opportunities to understand diseases within a systems biology framework and provide an excellent substrate for network-based identification of biomarkers. The network biomarkers and dynamic network biomarkers (DNBs) represent new types of biomarkers with protein-protein or gene-gene interactions that can be monitored and evaluated at different stages and time-points during development of disease. Clinical bioinformatics as a new way to combine clinical measurements and signs with human tissue-generated bioinformatics is crucial to translate biomarkers into clinical application, validate the disease specificity, and understand the role of biomarkers in clinical settings. In this article, the recent advances and developments on network biomarkers and DNBs are comprehensively reviewed. How network biomarkers help a better understanding of molecular mechanism of diseases, the advantages and constraints of network biomarkers for clinical application, clinical bioinformatics as a bridge to the development of diseases-specific, stage-specific, severity-specific and therapy predictive biomarkers, and the potentials of network biomarkers are also discussed. © 2015 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine.

  12. Early-Phase Studies of Biomarkers

    DEFF Research Database (Denmark)

    Pepe, Margaret S.; Janes, Holly; Li, Christopher I.

    2016-01-01

    BACKGROUND: Many cancer biomarker research studies seek to develop markers that can accurately detect or predict future onset of disease. To design and evaluate these studies, one must specify the levels of accuracy sought. However, justified target levels are rarely available. METHODS: We describe...... a way to calculate target levels of sensitivity and specificity for a biomarker intended to be applied in a defined clinical context. The calculation requires knowledge of the prevalence or incidence of cases in the clinical population and the ratio of benefit associated with the clinical consequences...... for ovarian cancer. CONCLUSIONS: It is feasible to specify target levels of biomarker performance that enable evaluation of the potential clinical impact of biomarkers in early-phase studies. Nevertheless, biomarkers meeting the criteria should still be tested rigorously in studies that measure the actual...

  13. Fluid biomarkers in multiple system atrophy

    DEFF Research Database (Denmark)

    Laurens, Brice; Constantinescu, Radu; Freeman, Roy

    2015-01-01

    Despite growing research efforts, no reliable biomarker currently exists for the diagnosis and prognosis of multiple system atrophy (MSA). Such biomarkers are urgently needed to improve diagnostic accuracy, prognostic guidance and also to serve as efficacy measures or surrogates of target...... engagement for future clinical trials. We here review candidate fluid biomarkers for MSA and provide considerations for further developments and harmonization of standard operating procedures. A PubMed search was performed until April 24, 2015 to review the literature with regard to candidate blood...... and cerebrospinal fluid (CSF) biomarkers for MSA. Abstracts of 1760 studies were retrieved and screened for eligibility. The final list included 60 studies assessing fluid biomarkers in patients with MSA. Most studies have focused on alpha-synuclein, markers of axonal degeneration or catecholamines. Their results...

  14. Cervical cancer: Biomarkers for diagnosis and treatment.

    Science.gov (United States)

    Dasari, Subramanyam; Wudayagiri, Rajendra; Valluru, Lokanatha

    2015-05-20

    Cervical cancer is a major gynecological cancer which involves uncontrolled cell division and tissue invasiveness of the female uterine cervix. With the availability of new technologies researchers have increased their efforts to develop novel biomarkers for early diagnosis, and evaluation and monitoring of therapeutic treatments. This approach will help in the development of early diagnosis and in increasing treatment efficacy with decreased recurrence. The present review explains the currently available biomarkers for cervical cancer diagnosis and prognosis. Apart from the currently available biomarkers the review also explains strategies for the development of biomarkers based on cellular and molecular approaches such as DNA, protein and other metabolic markers with suitable clinical examples. The investigations of specific proteins, enzymes and metabolites will establish more useful biomarkers for accurate detection and management of gynecological cancers especially cervical cancer. Copyright © 2015 Elsevier B.V. All rights reserved.

  15. Molecular and phenotypic biomarkers of aging.

    Science.gov (United States)

    Xia, Xian; Chen, Weiyang; McDermott, Joseph; Han, Jing-Dong Jackie

    2017-01-01

    Individuals of the same age may not age at the same rate. Quantitative biomarkers of aging are valuable tools to measure physiological age, assess the extent of 'healthy aging', and potentially predict health span and life span for an individual. Given the complex nature of the aging process, the biomarkers of aging are multilayered and multifaceted. Here, we review the phenotypic and molecular biomarkers of aging. Identifying and using biomarkers of aging to improve human health, prevent age-associated diseases, and extend healthy life span are now facilitated by the fast-growing capacity of multilevel cross-sectional and longitudinal data acquisition, storage, and analysis, particularly for data related to general human populations. Combined with artificial intelligence and machine learning techniques, reliable panels of biomarkers of aging will have tremendous potential to improve human health in aging societies.

  16. 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.

  17. Biomarkers: in medicine, drug discovery, and environmental health

    National Research Council Canada - National Science Library

    Vaidya, Vishal S; Bonventre, Joseph V

    2010-01-01

    ... Identification Using Mass Spectrometry Sample Preparation Protein Quantitation Examples of Biomarker Discovery and Evaluation Challenges in Proteomic Biomarker Discovery The Road Forward: Targeted ...

  18. PET Metabolic Biomarkers for Cancer

    Directory of Open Access Journals (Sweden)

    Etienne Croteau

    2016-01-01

    Full Text Available 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 18 F-fluorodeoxyglucose ( 18 F-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.

  19. The Procalcitonin And Survival Study (PASS) - a randomised multi-center investigator-initiated trial to investigate whether daily measurements biomarker Procalcitonin and pro-active diagnostic and therapeutic responses to abnormal Procalcitonin levels, can improve survival in intensive care unit

    DEFF Research Database (Denmark)

    Jensen, Jens-Ulrik; Lundgren, Bettina; Hein, Lars

    2008-01-01

    . Complies with, "Good Clinical Practice" (ICH-GCP Guideline (CPMP/ICH/135/95, Directive 2001/20/EC)). Inclusion: 1) Age > or = 18 years of age, 2) Admitted to the participating intensive care units, 3) Signed written informed consent.Exclusion: 1) Known hyper-bilirubinaemia. or hypertriglyceridaemia, 2......-guided strategy compared to the best standard of care, is conducted in an Intensive care setting. Results will, with a high statistical power answer the question: Can the survival of critically ill patients be improved by actively using biomarker procalcitonin in the treatment of infections? 700 critically ill......) Likely that safety is compromised by blood sampling, 3) Pregnant or breast feeding.Computerized Randomisation: Two arms (1:1), n = 500 per arm: Arm 1: standard of care. Arm 2: standard of care and Procalcitonin guided diagnostics and treatment of infection.Primary Trial Objective: To address whether...

  20. Imaging biomarkers in Alzheimer's disease: added value in the clinical setting.

    Science.gov (United States)

    Morbelli, Silvia; Bauckneht, Matteo; Scheltens, Philip

    2017-12-01

    Over the last 20 years the availability of magnetic resonance imaging and positron-emission tomography technologies as well as of cerebrospinal fluid biomarkers has allowed research and clinical approach to Alzheimer's disease (AD) to move towards the earliest manifestations of the disease. This new approach resulted in an increasing knowledge about in-vivo biological and neuropathological processes of each phase of the AD-related damage from preclinical, to mild cognitive impairment, and finally to dementia due to AD. The present narrative review deals with the available data as well as with the unsolved issued related to the incorporation of AD biomarkers into the clinical practice. Ongoing research efforts aiming to better define and implement the use of imaging AD biomarkers in clinical practice according to a patient-centered approach and sustainability for clinical-care systems are also discussed.

  1. Biomarkers in DILI: one more step forward

    Directory of Open Access Journals (Sweden)

    Mercedes Robles-Díaz

    2016-08-01

    Full Text Available Despite being relatively rare, drug-induced liver injury (DILI is a serious condition, both for the individual patient due to the risk of acute liver failure, and for the drug development industry and regulatory agencies due to associations with drug development attritions, black box warnings and postmarketing withdrawals. A major limitation in DILI diagnosis and prediction is the current lack of specific biomarkers. Despite refined usage of traditional liver biomarkers in DILI, reliable disease outcome predictions are still difficult to make. These limitations have driven the growing interest in developing new more sensitive and specific DILI biomarkers, which can improve early DILI prediction, diagnosis and course of action. Several promising DILI biomarker candidates have been discovered to date, including mechanistic-based biomarker candidates such as glutamate dehydrogenase, high-mobility group box 1 protein and keratin-18, which can also provide information on the injury mechanism of different causative agents. Furthermore, microRNAs have received much attention lately as potential non-invasive DILI biomarker candidates, in particular miR-122. Advances in omics technologies offer a new approach for biomarker exploration studies. The ability to screen a large number of molecules (for example metabolites, proteins or DNA simultaneously enables the identification of ‘toxicity signatures’, which may be used to enhance preclinical safety assessments and disease diagnostics. Omics-based studies can also provide information on the underlying mechanisms of distinct forms of DILI that may further facilitate the identification of early diagnostic biomarkers and safer implementation of personalized medicine. In this review we summarize recent advances in the area of DILI biomarker studies.

  2. Cardiac Biomarkers and Cycling Race

    Directory of Open Access Journals (Sweden)

    Caroline Le Goff, Jean-François Kaux, Sébastien Goffaux, Etienne Cavalier

    2015-06-01

    Full Text Available 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 biomarkers: creatin kinase (CK, creating kinase midbrain (CK-MB, myoglobin (MYO, highly sensitive troponin T (hs-TnT and N-terminal brain natriuretic peptide (NT-proBNP. The population studied was a group of young trained cyclists participating in a 177-km cycling race. The group of individuals was selected for maximal homogeneity. Their annual training volume was between 10,000 and 16,000 kilometers. The rhythm of races is comparable and averages 35 km/h, depending on the race’s difficulty. The cardiac frequency was recorded via a heart rate monitor. Three blood tests were taken. The first blood test, T0, was taken approximately 2 hours before the start of the race and was intended to gather values which would act as references for the following tests. The second blood test, T1, was realized within 5 minutes of their arrival. The third and final blood test, T3, was taken 3 hours following their arrival. The CK, CK-MB, MYO, hs-TnT and NT-proBNP were measured on the Roche Diagnostic modular E (Manhein, Germany. For the statistical analysis, an ANOVA and post hoc test of Scheffé were calculated with the Statistica Software version 9.1. We noticed an important significant variation in the cardiac frequency between T0 and T1 (p < 0.0001, T0 and T3 (p < 0.0001, and T1 and T3 (p < 0.01. Table 1 shows the results obtained for the different biomarkers. CK and CK-MB showed significant variation between T0-T1 and T0-T3 (p < 0.0001. Myoglobin increased significantly

  3. Rapid biosensing tools for cancer biomarkers.

    Science.gov (United States)

    Ranjan, Rajeev; Esimbekova, Elena N; Kratasyuk, Valentina A

    2017-01-15

    The present review critically discusses the latest developments in the field of smart diagnostic systems for cancer biomarkers. A wide coverage of recent biosensing approaches involving aptamers, enzymes, DNA probes, fluorescent probes, interacting proteins and antibodies in vicinity to transducers such as electrochemical, optical and piezoelectric is presented. Recent advanced developments in biosensing approaches for cancer biomarker owes much credit to functionalized nanomaterials due to their unique opto-electronic properties and enhanced surface to volume ratio. Biosensing methods for a plenty of cancer biomarkers has been summarized emphasizing the key principles involved. Copyright © 2016 Elsevier B.V. All rights reserved.

  4. Biomarkers of oxidative stress in antioxidant therapy

    Directory of Open Access Journals (Sweden)

    Wilfredo Mañon Rossi

    2016-04-01

    Full Text Available Biomarkers are used regularly in medical practice to provide objective markers of health status of a person, as well as the physiological response of the body to a pharmacological therapeutic intervention. In the specific case of the use of antioxidant products (antioxidant therapy, it is necessary to measure both biomarkers of oxidative stress level of the person as those that are specific to a physiological or pathological progression of a disease disorder. This paper describes the main biomarkers of oxidative general and specific stress as well as laboratory techniques, which should be taken into account when measuring the effectiveness of antioxidant therapies.

  5. Emerging ocular biomarkers of Alzheimer disease.

    Science.gov (United States)

    van Wijngaarden, Peter; Hadoux, Xavier; Alwan, Mostafa; Keel, Stuart; Dirani, Mohamed

    2017-01-01

    Interest in reliable biomarkers of Alzheimer disease, the leading cause of dementia, has been fuelled by challenges in diagnosing the disease and monitoring disease progression as well as the response to therapy. A range of ocular manifestations of Alzheimer disease, including retinal and lens amyloid-beta accumulation, retinal nerve fiber layer loss, and retinal vascular changes, have been proposed as potential biomarkers of the disease. Herein, we examine the evidence regarding the potential value of these ocular biomarkers of Alzheimer disease. © 2016 Royal Australian and New Zealand College of Ophthalmologists.

  6. High-sensitivity nanosensors for biomarker detection.

    Science.gov (United States)

    Swierczewska, Magdalena; Liu, Gang; Lee, Seulki; Chen, Xiaoyuan

    2012-04-07

    High sensitivity nanosensors utilize optical, mechanical, electrical, and magnetic relaxation properties to push detection limits of biomarkers below previously possible concentrations. The unique properties of nanomaterials and nanotechnology are exploited to design biomarker diagnostics. High-sensitivity recognition is achieved by signal and target amplification along with thorough pre-processing of samples. In this tutorial review, we introduce the type of detection signals read by nanosensors to detect extremely small concentrations of biomarkers and provide distinctive examples of high-sensitivity sensors. The use of such high-sensitivity nanosensors can offer earlier detection of disease than currently available to patients and create significant improvements in clinical outcomes.

  7. High-sensitivity nanosensors for biomarker detection†

    Science.gov (United States)

    Swierczewska, Magdalena; Liu, Gang

    2013-01-01

    High sensitivity nanosensors utilize optical, mechanical, electrical, and magnetic relaxation properties to push detection limits of biomarkers below previously possible concentrations. The unique properties of nanomaterials and nanotechnology are exploited to design biomarker diagnostics. High-sensitivity recognition is achieved by signal and target amplification along with thorough pre-processing of samples. In this tutorial review, we introduce the type of detection signals read by nanosensors to detect extremely small concentrations of biomarkers and provide distinctive examples of high-sensitivity sensors. The use of such high-sensitivity nanosensors can offer earlier detection of disease than currently available to patients and create significant improvements in clinical outcomes. PMID:22187721

  8. Sleep duration, cardiovascular disease, and proinflammatory biomarkers

    Directory of Open Access Journals (Sweden)

    Grandner MA

    2013-07-01

    Full Text Available Michael A Grandner,1,2 Megan R Sands-Lincoln,3 Victoria M Pak,2,4 Sheila N Garland1,5 1Behavioral Sleep Medicine Program, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, PA, USA; 2Center for Sleep and Circadian Neurobiology, University of Pennsylvania, PA, USA; 3Center for Evidence Based Medicine, Elsevier Inc, Philadelphia, PA, USA; 4Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, PA, USA; 5Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, PA, USA Abstract: Habitual sleep duration has been associated with cardiometabolic disease, via several mechanistic pathways, but few have been thoroughly explored. One hypothesis is that short and/or long sleep duration is associated with a proinflammatory state, which could increase risk for cardiovascular and metabolic diseases. This hypothesis has been largely explored in the context of experimental sleep deprivation studies which have attempted to demonstrate changes in proinflammatory markers following acute sleep loss in the laboratory. Despite the controlled environment available in these studies, samples tend to lack generalization to the population at large and acute sleep deprivation may not be a perfect analog for short sleep. To address these limitations, population based studies have explored associations between proinflammatory markers and habitual sleep duration. This review summarizes what is known from experimental and cross-sectional studies about the association between sleep duration, cardiovascular disease, and proinflammatory biomarkers. First, the association between sleep duration with both morbidity and mortality, with a focus on cardiovascular disease, is reviewed. Then, a brief review of the potential role of proinflammatory markers in cardiovascular disease is presented. The majority of this review details specific findings related to specific

  9. Consensus Guidelines for CSF and Blood Biobanking for CNS Biomarker Studies

    Directory of Open Access Journals (Sweden)

    Charlotte E. Teunissen

    2011-01-01

    Full Text Available There is a long history of research into body fluid biomarkers in neurodegenerative and neuroinflammatory diseases. However, only a few biomarkers in cerebrospinal fluid (CSF are being used in clinical practice. Anti-aquaporin-4 antibodies in serum are currently useful for the diagnosis of neuromyelitis optica (NMO, but we could expect novel CSF biomarkers that help define prognosis and response to treatment for this disease. One of the most critical factors in biomarker research is the inadequate powering of studies performed by single centers. Collaboration between investigators is needed to establish large biobanks of well-defined samples. A key issue in collaboration is to establish standardized protocols for biobanking to ensure that the statistical power gained by increasing the numbers of CSF samples is not compromised by pre-analytical factors. Here, consensus guidelines for CSF collection and biobanking are presented, based on the guidelines that have been published by the BioMS-eu network for CSF biomarker research. We focussed on CSF collection procedures, pre-analytical factors and high quality clinical and paraclinical information. Importantly, the biobanking protocols are applicable for CSF biobanks for research targeting any neurological disease.

  10. Dietary and health biomarkers-time for an update

    NARCIS (Netherlands)

    Dragsted, L.O.; Gao Qizian,; Praticò, G.; Manach, Claudine; Wishart, D.S.; Scalbert, A.; Feskens, E.J.M.

    2017-01-01

    In the dietary and health research area, biomarkers are extensively used for multiple purposes. These include biomarkers of dietary intake and nutrient status, biomarkers used to measure the biological effects of specific dietary components, and biomarkers to assess the effects of diet on health.

  11. The Procalcitonin And Survival Study (PASS – A Randomised multi-center investigator-initiated trial to investigate whether daily measurements biomarker Procalcitonin and pro-active diagnostic and therapeutic responses to abnormal Procalcitonin levels, can improve survival in intensive care unit patients. Calculated sample size (target population: 1000 patients

    Directory of Open Access Journals (Sweden)

    Fjeldborg Paul

    2008-07-01

    Full Text Available Abstract Background Sepsis and complications to sepsis are major causes of mortality in critically ill patients. Rapid treatment of sepsis is of crucial importance for survival of patients. The infectious status of the critically ill patient is often difficult to assess because symptoms cannot be expressed and signs may present atypically. The established biological markers of inflammation (leucocytes, C-reactive protein may often be influenced by other parameters than infection, and may be unacceptably slowly released after progression of an infection. At the same time, lack of a relevant antimicrobial therapy in an early course of infection may be fatal for the patient. Specific and rapid markers of bacterial infection have been sought for use in these patients. Methods Multi-centre randomized controlled interventional trial. Powered for superiority and non-inferiority on all measured end points. Complies with, "Good Clinical Practice" (ICH-GCP Guideline (CPMP/ICH/135/95, Directive 2001/20/EC. Inclusion: 1 Age ≥ 18 years of age, 2 Admitted to the participating intensive care units, 3 Signed written informed consent. Exclusion: 1 Known hyper-bilirubinaemia. or hypertriglyceridaemia, 2 Likely that safety is compromised by blood sampling, 3 Pregnant or breast feeding. Computerized Randomisation: Two arms (1:1, n = 500 per arm: Arm 1: standard of care. Arm 2: standard of care and Procalcitonin guided diagnostics and treatment of infection. Primary Trial Objective: To address whether daily Procalcitonin measurements and immediate diagnostic and therapeutic response on day-to-day changes in procalcitonin can reduce the mortality of critically ill patients. Discussion For the first time ever, a mortality-endpoint, large scale randomized controlled trial with a biomarker-guided strategy compared to the best standard of care, is conducted in an Intensive care setting. Results will, with a high statistical power answer the question: Can the survival

  12. Cardiac biomarkers in acute myocardial infarction

    National Research Council Canada - National Science Library

    Aldous, Sally J

    2013-01-01

    ... (established and novel) assays. Cardiac troponin, our current "gold standard" biomarker criterion for the diagnosis of myocardial infarction has high sensitivity and specificity for this diagnosis and therapies instituted...

  13. Relationship between Testosterone, Oxidative Stress Biomarkers ...

    African Journals Online (AJOL)

    Hypogonadism attributable to males with metabolic syndrome was also observed in automechanics occupationally exposed to mixed chemicals accompanied by oxidative stress (OS). We evaluated associations among testosterone, OS biomarkers, enzymatic and non-enzymatic antioxidants in normal weight ...

  14. Biomarkers in Paediatric Cystic Fibrosis Lung Disease.

    Science.gov (United States)

    Ramsey, Kathryn A; Schultz, André; Stick, Stephen M

    2015-09-01

    Biomarkers in cystic fibrosis are used i. for the measurement of cystic fibrosis transmembrane regulator function in order to diagnose cystic fibrosis, and ii. to assess aspects of lung disease severity (e.g. inflammation, infection). Effective biomarkers can aid disease monitoring and contribute to the development of new therapies. The tests of cystic fibrosis transmembrane regulator function each have unique strengths and weaknesses, and biomarkers of inflammation, infection and tissue destruction have the potential to enhance the management of cystic fibrosis through the early detection of disease processes. The development of biomarkers of cystic fibrosis lung disease, in particular airway inflammation and infection, is influenced by the challenges of obtaining relevant samples from infants and children for whom early detection and treatment of disease might have the greatest long term benefits. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Clinical Relevance of Biomarkers of Oxidative Stress

    DEFF Research Database (Denmark)

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

    2015-01-01

    SIGNIFICANCE: Oxidative stress is considered to be an important component of various diseases. A vast number of methods have been developed and used in virtually all diseases to measure the extent and nature of oxidative stress, ranging from oxidation of DNA to proteins, lipids, and free amino...... 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....... It is often difficult to draw general conclusions on the significance of oxidative stress biomarkers, as only in a limited proportion of diseases have a range of different biomarkers been used, and different biomarkers have been used to study different diseases. In addition, biomarkers are often measured...

  16. Novel Biomarker for Prognosis, Treatment Response

    Science.gov (United States)

    An NCI Cancer Currents blog about a study of a new type of cancer biomarker that measures the extent of chromosomal instability as a way to potentially predict patient prognosis and help guide cancer treatment choices.

  17. 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.

  18. Identification of potential biomarkers in Multiple Sclerosis

    NARCIS (Netherlands)

    V. Singh (Vaibhav)

    2015-01-01

    markdownabstractAbstract Multiple sclerosis (MScl) is an inflammatory, autoimmune, demyelinating disease of the central nervous system (CNS). Thesis describes the identification of potential MScl biomarker research, with emphasis on distinguishing subtypes, first event of CNS demyelination in

  19. Quantitative Imaging Biomarkers of Knee Cartilage Composition

    NARCIS (Netherlands)

    J. van Tiel (Jasper)

    2015-01-01

    markdownabstractFor a long time, radiography and subsequently conventional magnetic resonance imaging (MRI) were used as imaging biomarkers for evaluating cartilage morphological disease state in osteoarthritis (OA). Because research is switching its focus towards disease modification or even

  20. Biomarkers for sarcopenia: reductionism vs. complexity.

    Science.gov (United States)

    Calvani, Riccardo; Picca, Anna; Cesari, Matteo; Tosato, Matteo; Marini, Federico; Manes-Gravina, Ester; Bernabei, Roberto; Landi, Francesco; Marzetti, Emanuele

    2017-05-15

    Sarcopenia, the progressive and generalized loss of muscle mass and strength/function, is a major health issue in older adults, given its high prevalence and the burdensome clinical ramifications. The absence of a unified operational definition for sarcopenia has hampered its full appreciation by healthcare providers, researchers and policy-makers. At the same time, this unresolved debate and the complexity of musculoskeletal aging pose major challenges to the identification of clinically meaningful biomarkers. This review summarizes the current knowledge on biological markers for sarcopenia, including a critical appraisal of traditional procedures for biomarker development in the field of muscle aging. As an alternative approach, we illustrate the potential advantages of biomarker discovery procedures based on multivariate methodologies. Relevant examples of multidimensional biomarker modeling are provided with an emphasis on its clinical and research application. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  1. The development and applications of biomarkers

    Energy Technology Data Exchange (ETDEWEB)

    Normandy, J.; Peeters, J. [eds.

    1994-04-15

    This report is a compilation of submitted abstracts of scientific papers presented at the second Department of Energy-supported workshop on the use and applications of biomarkers held in Santa Fe, New Mexico, from April 26--29, 1994. The abstracts present a synopsis of the latest scientific developments in biomarker research and how these developments meet with the practical needs of the occupational physician as well as the industrial hygienist and the health physicist. In addition to considering the practical applications and potential benefits of this promising technology, the potential ethical and legal ramifications of using biomarkers to monitor workers are discussed. The abstracts further present insights on the present benefits that can be derived from using biomarkers as well as a perspective on what further research is required to fully meet the needs of the medical community.

  2. Have biomarkers made their mark? A brief review of dental biomarkers

    Directory of Open Access Journals (Sweden)

    Mohammed Kaleem Sultan

    2014-01-01

    Full Text Available Biomarkers are substances that are released into the human body by tumor cells or by other cells in response to tumor. A high level of a tumor marker is considered a sign of certain cancer, which makes biomarker the subject of many testing methods for the diagnosis of cancers. In recent times, these biomarkers have been successfully isolated to diagnose dental-related tumors, benign and malignant conditions. This article is a brief review of literature for various biomarkers used in the field of dentistry.

  3. Biomarkers As Predicting Models Of Stroke Incidence

    Directory of Open Access Journals (Sweden)

    Abbas Ghorbani

    2017-02-01

    Full Text Available OBJECTIVES: biomarkers refer to indicators measured by chemical or biologic tests using blood or urine .  The predicts physiologic or disease states, or increased disease risk.Risk stratification of persons at risk of future vascular event can separate subpopulations that would benefit most from established and emerging stoke preventive therapies. METHODS: Biomarkers representing various components of the inflammatory cascade, including: 1-systemic inflammation (c-reactive protein{CRP}, interleukin 6, monocyte chemotactic protein1,tumor necrosis factor α1,tumor necrosis factor recepror2{TNFR2}, osteoprotegrin, fibrinogen 2-vascular inflammation/ endothelial dysfunction (intercellular adhesion molecule1,CD40 ligand, P-selectin,lipoprotein associated phospholipaseA  mass and activity,total homocysteine (tHcy,and vascular growth factor(VEGF,oxidative stress(myeloperoxidase RESULTS: circulating biomarkers of inflammation and endothelial dysfunction are associated with ischemic stroke in stroke free community- dwelling individuals and they can be used to refine stroke prediction models inclusion of 4 biomarkers (CRP-TNFR2-tHcy-VEGF DISCUSSION: Athough the roles of biomarkers are basically diagnosing the disease and predicting the outcome , biomarkers inpatients with stroke can also provide a large variety of other information about the risk of future stroke, possible stroke mechanisms for biomarker-guided treatment. Among circulating biomarkers  VEGF was the biomarker that had the greatest individual degree of discrimination for future ischemic stroke. Data from studies  have recently demonstrated  the relation between  VEGF and ischemic stroke pathogenesis is, however not well established.total homocysteine and CRP are well established markers of increase stroke risk , the former via its role in accelerated atherosclerotic disease and the latter marking systemic inflammation and plague instability. It has been demonstrated independent

  4. Wound care centers

    Science.gov (United States)

    ... wound care center; Diabetic ulcer - wound care center; Surgical wound - wound center; Ischemic ulcer - wound center ... types of non-healing wounds include: Pressure sores Surgical wounds Radiation sores Foot ulcers due to diabetes , poor ...

  5. Sex-Based Differences in Cardiometabolic Biomarkers.

    Science.gov (United States)

    Lew, Jeanney; Sanghavi, Monika; Ayers, Colby R; McGuire, Darren K; Omland, Torbjørn; Atzler, Dorothee; Gore, Maria O; Neeland, Ian; Berry, Jarett D; Khera, Amit; Rohatgi, Anand; de Lemos, James A

    2017-02-07

    Few data are available comparing cardiovascular disease (CVD) biomarker profiles between women and men in the general population. We analyzed sex-based differences in multiple biomarkers reflecting distinct pathophysiological pathways, accounting for differences between women and men in CVD risk factors, body composition, and cardiac morphology. A cross-sectional analysis was performed using data from the Dallas Heart Study, a multiethnic population-based study. Associations between sex and 30 distinct biomarkers representative of 6 pathophysiological categories were evaluated using multivariable linear regression adjusting for age, race, traditional CVD risk factors, kidney function, insulin resistance, MRI and dual-energy x-ray absorptiometry measures of body composition and fat distribution, and left ventricular mass. After excluding participants with CVD, the study population included 3439 individuals, mean age 43 years, 56% women, and 52% black. Significant sex-based differences were seen in multiple categories of biomarkers, including lipids, adipokines, and biomarkers of inflammation, endothelial dysfunction, myocyte injury and stress, and kidney function. In fully adjusted models, women had higher levels of high-density lipoprotein cholesterol and high-density lipoprotein particle concentration, leptin, d-dimer, homoarginine, and N-terminal pro B-type natriuretic peptide, and lower levels of low-density lipoprotein cholesterol, adiponectin, lipoprotein-associated phospholipase A2 mass and activity, monocyte chemoattractant protein-1, soluble endothelial cell adhesion molecule, symmetrical dimethylarginine, asymmetrical dimethylarginine, high-sensitivity troponin T, and cystatin C. Biomarker profiles differ significantly between women and men in the general population. Sex differences were most apparent for biomarkers of adiposity, endothelial dysfunction, inflammatory cell recruitment, and cardiac stress and injury. Future studies are needed to characterize

  6. Novel biomarkers of coronary microvascular disease.

    Science.gov (United States)

    Hung, Olivia Y; Lee, Suegene K; Eshtehardi, Parham; Samady, Habib

    2016-07-01

    Coronary microvascular disease in the absence of myocardial diseases has traditionally been diagnosed through coronary reactivity testing in the cardiac catheterization laboratory. Compared with invasive procedures, blood-based biomarkers may have reduced cost, less risk of physical harm and greater accessibility, making them ideal for an outpatient management strategy. There are a variety of biomarkers available with potential utility in the management of microvascular disease; however, none have yet been extensively validated or established in this clinical patient population.

  7. Imaging biomarker roadmap for cancer studies

    OpenAIRE

    O'Connor, JPB; Aboagye, EO; Adams, JE; Aerts, HJWL; Barrington, SF; Beer, AJ; Boellaard, R.; Bohndiek, SE; Brady, M.; Brown, G.; Buckley, DL; Chenevert, TL; Clarke, LP; Collette, S.; Cook, GJ

    2016-01-01

    Imaging biomarkers (IBs) are integral to the routine management of patients with cancer. IBs used daily in oncology include clinical TNM stage, objective response and left ventricular ejection fraction. Other CT, MRI, PET and ultrasonography biomarkers are used extensively in cancer research and drug development. New IBs need to be established either as useful tools for testing research hypotheses in clinical trials and research studies, or as clinical decision-making tools for use in healthc...

  8. Salivary pH: A diagnostic biomarker

    OpenAIRE

    Sharmila Baliga; Sangeeta Muglikar; Rahul Kale

    2013-01-01

    Objectives: Saliva contains a variety of host defense factors. It influences calculus formation and periodontal disease. Different studies have been done to find exact correlation of salivary biomarkers with periodontal disease. With a multitude of biomarkers and complexities in their determination, the salivary pH may be tried to be used as a quick chairside test. The aim of this study was to analyze the pH of saliva and determine its relevance to the severity of periodontal disease. Study D...

  9. Quality assurance in biomarker measurement.

    Science.gov (United States)

    Aitio, A; Apostoli, P

    1995-05-01

    Quality assurance (QA) concerns the validity of all the analytical processes (from collection of the samples to interpretation of the results). It is not an abstract concept but must be adapted to the different situations such as the different exposure levels, the different analytical methods, and the context of use (risk assessment procedures, research, routine determinations). The main requirements in QA programmes regard the control of all the known sources of preanalytical and analytical variations, while the instruments with which adequate QA can be implemented are the certified materials and the quality control programmes (quality manual, internal and external quality controls). Another important concept in QA is that measurements must be placed a different metrological levels: at the highest there are the methods (definitive, reference) to be used for assessing accuracy of routine methods. QA programmes should enable a grading of biomarkers (from experimental only to full evaluated) and of the laboratories in order to identify the significance of the test and to assess the level at which a laboratory could operate.

  10. Shotgun Proteomics and Biomarker Discovery

    Directory of Open Access Journals (Sweden)

    W. Hayes McDonald

    2002-01-01

    Full Text Available Coupling large-scale sequencing projects with the amino acid sequence information that can be gleaned from tandem mass spectrometry (MS/MS has made it much easier to analyze complex mixtures of proteins. The limits of this “shotgun” approach, in which the protein mixture is proteolytically digested before separation, can be further expanded by separating the resulting mixture of peptides prior to MS/MS analysis. Both single dimensional high pressure liquid chromatography (LC and multidimensional LC (LC/LC can be directly interfaced with the mass spectrometer to allow for automated collection of tremendous quantities of data. While there is no single technique that addresses all proteomic challenges, the shotgun approaches, especially LC/LC-MS/MS-based techniques such as MudPIT (multidimensional protein identification technology, show advantages over gel-based techniques in speed, sensitivity, scope of analysis, and dynamic range. Advances in the ability to quantitate differences between samples and to detect for an array of post-translational modifications allow for the discovery of classes of protein biomarkers that were previously unassailable.

  11. Imaging biomarkers in liver fibrosis.

    Science.gov (United States)

    Berzigotti, A; França, M; Martí-Aguado, D; Martí-Bonmatí, L

    2017-11-03

    There is a need for early identification of patients with chronic liver diseases due to their increasing prevalence and morbidity-mortality. The degree of liver fibrosis determines the prognosis and therapeutic options in this population. Liver biopsy represents the reference standard for fibrosis staging. However, given its limitations and complications, different non-invasive methods have been developed recently for the in vivo quantification of fibrosis. Due to their precision and reliability, biomarkers' measurements derived from Ultrasound and Magnetic Resonance stand out. This article reviews the different acquisition techniques and image processing methods currently used in the evaluation of liver fibrosis, focusing on their diagnostic performance, applicability and clinical value. In order to properly interpret their results in the appropriate clinical context, it seems necessary to understand the techniques and their quality parameters, the standardization and validation of the measurement units and the quality control of the methodological problems. Copyright © 2017 SERAM. Publicado por Elsevier España, S.L.U. All rights reserved.

  12. Allergic asthma biomarkers using systems approaches

    Directory of Open Access Journals (Sweden)

    Gaurab eSircar

    2014-01-01

    Full Text Available Asthma is characterized by lung inflammation caused by complex interaction between the immune system and environmental factors such as allergens and inorganic pollutants. Recent research in this field is focused on discovering new biomarkers associated with asthma pathogenesis. This review illustrates updated research associating biomarkers of allergic asthma and their potential use in systems biology of the disease. We focus on biomolecules with altered expression, which may serve as inflammatory, diagnostic and therapeutic biomarkers of asthma discovered in human or experimental asthma model using genomic, proteomic and epigenomic approaches for gene and protein expression profiling. These include high-throughput technologies such as state of the art microarray and proteomics Mass Spectrometry (MS platforms. Emerging concepts of molecular interactions and pathways may provide new insights in searching potential clinical biomarkers. We summarized certain pathways with significant linkage to asthma pathophysiology by analyzing the compiled biomarkers. Systems approaches with this data can identify the regulating networks, which will eventually identify the key biomarkers to be used for diagnostics and drug discovery.

  13. Biomarkers in aquatic plants: selection and utility.

    Science.gov (United States)

    Brain, Richard A; Cedergreen, Nina

    2009-01-01

    This review emphasizes the predictive ability, sensitivity and specificity of aquatic plant biomarkers as biomonitoring agents of exposure and effect. Biomarkers of exposure are those that provide functional measures of exposure that are characterized at a sub-organism level. Biomarkers of effect require causal linkages between the biomarker and effects, measured at higher levels of biological organization. With the exception of pathway specific metabolites, the biomarkers assessed in this review show variable sensitivity and predictive ability that is often confounded by variations in growth conditions, rendering them unsuitable as stand alone indicators of environmental stress. The use of gene expression for detecting pollution has been, and remains immature; this immaturity derives from inadequate knowledge on predictive ability, sensitivity and specificity. Moreover, the ability to the detect mode of action of unknown toxicants using gene expression is not as clear-cut as initially hypothesized. The principal patterns in gene expression is not as clear-cut as initially hypothesized. The principal patterns in gene expression are generally derived from stress induced genes, rather than on ones that respond to substances with known modes of action (Baerson et al. 2005). Future developments in multivariate statistics and chemometric methods that enhance pattern analyses in ways that could produce a "fingerprint", may improve methods for discovering modes of action of unknown toxicants. Pathway specific metabolites are unambiguous, sensitive, correlate well to growth effects, and are relatively unaffected by growth conditions. These traits make them excellent biomarkers under both field and laboratory conditions. Changes in metabolites precede visible growth effects; therefore, measuring changes in metabolite concentrations (Harring et al. 1998; Shaner et al. 2005). The metabolic phase I enzymes (primarily associated with P-450 activity) are non-specific biomarkers

  14. Crevicular Fluid Biomarkers and Periodontal Disease Progression

    Science.gov (United States)

    Oh, Min; Braun, Thomas M.; Ramseier, Christoph A.; Sugai, Jim V.; Giannobile, William V.

    2014-01-01

    Aim Assess the ability of a panel of gingival crevicular fluid (GCF) biomarkers as predictors of periodontal disease progression (PDP). Materials and Methods 100 individuals participated in a 12-month longitudinal investigation and categorized into 4 groups according to their periodontal status. GCF, clinical parameters, and saliva were collected bi-monthly. Sub-gingival plaque and serum were collected bi-annually. For 6 months, no periodontal treatment was provided. At 6-months, patients received periodontal therapy and continued participation from 6-12 months. GCF samples were analyzed by ELISA for MMP-8, MMP-9, OPG, CRP and IL-1β. Differences in median levels of GCF biomarkers were compared between stable and progressing participants using Wilcoxon Rank Sum test (p=0.05). Clustering algorithm was used to evaluate the ability of oral biomarkers to classify patients as either stable or progressing. Results Eighty-three individuals completed the 6-month monitoring phase. With the exception of GCF C-reactive protein, all biomarkers were significantly higher in the PDP group compared to stable patients. Clustering analysis showed highest sensitivity levels when biofilm pathogens and GCF biomarkers were combined with clinical measures, 74% (95% CI = 61,86). Conclusions Signature of GCF fluid-derived biomarkers combined with pathogens and clinical measures provides a sensitive measure for discrimination of PDP (ClinicalTrials.gov NCT00277745). PMID:24303954

  15. Extra-pulmonary tuberculosis: a biomarker analysis.

    Science.gov (United States)

    Fortún, J; Martín-Dávila, P; Gómez-Mampaso, E; Vallejo, A; Cuartero, C; González-García, A; Rubí, J; Pallarés, E; Moreno, S

    2014-08-01

    Studies on biomarkers in tuberculosis are focused on pulmonary forms of this disease (PTB), and only limited information is currently available on biomarkers of extra-pulmonary tuberculosis (EPTB). Serum samples from 24 patients with PTB, 29 patients with EPTB and 27 healthy controls were obtained, and the levels of interferon-gamma, chemokine ligand 9, mannose-binding lectin (MBL), tumor marker Ca-125 and adenosine deaminase were determined. The circulating levels of all tested biomarkers in the serum were significantly higher in PTB and EPTB patients than in controls. However, there were no significant differences in the levels of the biomarkers between patients with PTB and EPTB, with the exception of serum levels of MBL which were significantly higher in patients with EPTB than in patients with PTB (p = 0.01). In patients with EPTB, no significant differences were observed in biomarker levels among patients with or without concomitant PTB involvement. Based on MBL serum levels, ROC curve analysis showed an AUC of 0.85 for EPTB versus non-EPTB. The optimal cut-off value of MBL serum levels for EPTB versus non-EPTB was 1,000 μg/ml, with a sensitivity and specificity of 79.3 and 78.0 %, respectively. Biomarkers usually present as acute phase reactants and do not enable pulmonary forms to be differentiated from more serious or extra-pulmonary forms. MBL may be an exception.

  16. Single Domain Antibodies as New Biomarker Detectors

    Directory of Open Access Journals (Sweden)

    Chiuan Herng Leow

    2017-10-01

    Full Text Available Biomarkers are defined as indicators of biological processes, pathogenic processes, or pharmacological responses to a therapeutic intervention. Biomarkers have been widely used for early detection, prediction of response after treatment, and for monitoring the progression of diseases. Antibodies represent promising tools for recognition of biomarkers, and are widely deployed as analytical tools in clinical settings. For immunodiagnostics, antibodies are now exploited as binders for antigens of interest across a range of platforms. More recently, the discovery of antibody surface display and combinatorial chemistry techniques has allowed the exploration of new binders from a range of animals, for instance variable domains of new antigen receptors (VNAR from shark and variable heavy chain domains (VHH or nanobodies from camelids. These single domain antibodies (sdAbs have some advantages over conventional murine immunoglobulin owing to the lack of a light chain, making them the smallest natural biomarker binders thus far identified. In this review, we will discuss several biomarkers used as a means to validate diseases progress. The potential functionality of modern singe domain antigen binders derived from phylogenetically early animals as new biomarker detectors for current diagnostic and research platforms development will be described.

  17. 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.

  18. Quantitative imaging biomarker ontology (QIBO) for knowledge representation of biomedical imaging biomarkers.

    Science.gov (United States)

    Buckler, Andrew J; Liu, Tiffany Ting; Savig, Erica; Suzek, Baris E; Ouellette, M; Danagoulian, J; Wernsing, G; Rubin, Daniel L; Paik, David

    2013-08-01

    A widening array of novel imaging biomarkers is being developed using ever more powerful clinical and preclinical imaging modalities. These biomarkers have demonstrated effectiveness in quantifying biological processes as they occur in vivo and in the early prediction of therapeutic outcomes. However, quantitative imaging biomarker data and knowledge are not standardized, representing a critical barrier to accumulating medical knowledge based on quantitative imaging data. We use an ontology to represent, integrate, and harmonize heterogeneous knowledge across the domain of imaging biomarkers. This advances the goal of developing applications to (1) improve precision and recall of storage and retrieval of quantitative imaging-related data using standardized terminology; (2) streamline the discovery and development of novel imaging biomarkers by normalizing knowledge across heterogeneous resources; (3) effectively annotate imaging experiments thus aiding comprehension, re-use, and reproducibility; and (4) provide validation frameworks through rigorous specification as a basis for testable hypotheses and compliance tests. We have developed the Quantitative Imaging Biomarker Ontology (QIBO), which currently consists of 488 terms spanning the following upper classes: experimental subject, biological intervention, imaging agent, imaging instrument, image post-processing algorithm, biological target, indicated biology, and biomarker application. We have demonstrated that QIBO can be used to annotate imaging experiments with standardized terms in the ontology and to generate hypotheses for novel imaging biomarker-disease associations. Our results established the utility of QIBO in enabling integrated analysis of quantitative imaging data.

  19. Characterization of renal biomarkers for use in clinical trials: biomarker evaluation in healthy volunteers

    Science.gov (United States)

    Brott, David A; Adler, Scott H; Arani, Ramin; Lovick, Susan C; Pinches, Mark; Furlong, Stephen T

    2014-01-01

    Background Several preclinical urinary biomarkers have been qualified and accepted by the health authorities (US Food and Drug Administration, European Medicines Agency, and Pharmaceuticals and Medical Devices Agency) for detecting drug-induced kidney injury during preclinical toxicologic testing. Validated human assays for many of these biomarkers have become commercially available, and this study was designed to characterize some of the novel clinical renal biomarkers. The objective of this study was to evaluate clinical renal biomarkers in a typical Phase I healthy volunteer population to determine confidence intervals (pilot reference intervals), intersubject and intrasubject variability, effects of food intake, effect of sex, and vendor assay comparisons. Methods Spot urine samples from 20 male and 19 female healthy volunteers collected on multiple days were analyzed using single analyte and multiplex assays. The following analytes were measured: α-1-microglobulin, β-2-microglobulin, calbindin, clusterin, connective tissue growth factor, creatinine, cystatin C, glutathione S-transferase-α, kidney injury marker-1, microalbumin, N-acetyl-β-(D) glucosaminidase, neutrophil gelatinase-associated lipocalin, osteopontin, Tamm-Horsfall urinary glycoprotein, tissue inhibitor of metalloproteinase 1, trefoil factor 3, and vascular endothelial growth factor. Results Confidence intervals were determined from the single analyte and multiplex assays. Intersubject and intrasubject variability ranged from 38% to 299% and from 29% to 82% for biomarker concentration, and from 24% to 331% and from 10% to 67% for biomarker concentration normalized to creatinine, respectively. There was no major effect of food intake or sex. Single analyte and multiplex assays correlated with r2≥0.700 for five of six biomarkers when evaluating biomarker concentration, but for only two biomarkers when evaluating concentration normalized to creatinine. Conclusion Confidence intervals as well as

  20. Consistent metagenomic biomarker detection via robust PCA.

    Science.gov (United States)

    Alshawaqfeh, Mustafa; Bashaireh, Ahmad; Serpedin, Erchin; Suchodolski, Jan

    2017-01-31

    Recent developments of high throughput sequencing technologies allow the characterization of the microbial communities inhabiting our world. Various metagenomic studies have suggested using microbial taxa as potential biomarkers for certain diseases. In practice, the number of available samples varies from experiment to experiment. Therefore, a robust biomarker detection algorithm is needed to provide a set of potential markers irrespective of the number of available samples. Consistent performance is essential to derive solid biological conclusions and to transfer these findings into clinical applications. Surprisingly, the consistency of a metagenomic biomarker detection algorithm with respect to the variation in the experiment size has not been addressed by the current state-of-art algorithms. We propose a consistency-classification framework that enables the assessment of consistency and classification performance of a biomarker discovery algorithm. This evaluation protocol is based on random resampling to mimic the variation in the experiment size. Moreover, we model the metagenomic data matrix as a superposition of two matrices. The first matrix is a low-rank matrix that models the abundance levels of the irrelevant bacteria. The second matrix is a sparse matrix that captures the abundance levels of the bacteria that are differentially abundant between different phenotypes. Then, we propose a novel Robust Principal Component Analysis (RPCA) based biomarker discovery algorithm to recover the sparse matrix. RPCA belongs to the class of multivariate feature selection methods which treat the features collectively rather than individually. This provides the proposed algorithm with an inherent ability to handle the complex microbial interactions. Comprehensive comparisons of RPCA with the state-of-the-art algorithms on two realistic datasets are conducted. Results show that RPCA consistently outperforms the other algorithms in terms of classification accuracy and

  1. Organ-specific biomarkers in lupus.

    Science.gov (United States)

    Wu, Haijing; Zeng, Jinrong; Yin, Jinghua; Peng, Qiao; Zhao, Ming; Lu, Qianjin

    2017-04-01

    Systemic lupus erythematosus (SLE) is a complex and highly heterogeneous disease, which affects multiple organs, including joints, skin, kidneys, heart, hematopoietic system, and nerve system. While the etiopathogenesis of SLE still remains unclear, genetic susceptibilities and aberrant epigenetic modifications are believed to be involved. For precision therapy, it is necessary to assess accurately and objectively organ involvements and disease activity, which is difficult by current clinical laboratory tests. Biomarkers, which are a biologic, genetic, epigenetic or a chemical characteristic and conveniently detectable, serve as measures of disease diagnosis, activity, prognosis, and manifestation prediction, thereby providing instruction for individualized therapy. In addition, biomarkers differ according to different manifestations, since the disease activity index and treatments vary significantly. For example, unlike other non-renal SLE, lupus nephritis requires significant immunosuppressive drugs. Over the past decades, the research on biomarkers in lupus has been strengthened and numerous promising biomarkers have been identified at levels of genomics, transcriptomics and proteomics. In this review, we summarize the conventional and novel biomarkers in the tissue-specific manner, and discuss their roles in specific organ diagnosis, future manifestation prediction, disease activity assessment and their correlation with histology results. By doing so, it aims to shed a light on individualized treatment. Copyright © 2017 Elsevier B.V. All rights reserved.

  2. Short-term biomarkers of apple consumption.

    Science.gov (United States)

    Saenger, Theresa; Hübner, Florian; Humpf, Hans-Ulrich

    2017-03-01

    Urinary biomarkers are used to estimate the nutritional intake of humans. The aim of this study was to distinguish between low, medium, and high apple consumption by quantifying possible intake biomarkers in urine samples after apple consumption by HPLC-MS/MS. Apples were chosen as they are the most consumed fruits in Germany. Thirty subjects took part in 7-day study. They abstained from apples and apple products except for one weighed apple portion resembling one, two, or four apples. Before apple consumption and during the following days spot urine samples were collected. These urine samples were incubated with β-glucuronidase, diluted, and directly measured by HPLC-MS/MS. Phloretin, epicatechin, procyanidin B2, and quercetin were detected in urine using Scheduled MRM TM mode. Phloretin was confirmed as a urinary biomarker of apple intake and had the ability to discriminate between low or medium (one or two apples) and high apple consumption (four apples). The groups also differ in the excretion of epicatechin and procyanidin B2. Apple consumption can be monitored by urinary biomarkers for a period of at least 12 h after consumption. Furthermore the amount of apples consumed can be estimated by the concentration of certain biomarkers. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  3. Biomarkers in Pediatric Community-Acquired Pneumonia.

    Science.gov (United States)

    Principi, Nicola; Esposito, Susanna

    2017-02-19

    Community-acquired pneumonia (CAP) is an infectious disease caused by bacteria, viruses, or a combination of these infectious agents. The severity of the clinical manifestations of CAP varies significantly. Consequently, both the differentiation of viral from bacterial CAP cases and the accurate assessment and prediction of disease severity are critical for effectively managing individuals with CAP. To solve questionable cases, several biomarkers indicating the etiology and severity of CAP have been studied. Unfortunately, only a few studies have examined the roles of these biomarkers in pediatric practice. The main aim of this paper is to detail current knowledge regarding the use of biomarkers to diagnose and treat CAP in children, analyzing the most recently published relevant studies. Despite several attempts, the etiologic diagnosis of pediatric CAP and the estimation of the potential outcome remain unsolved problems in most cases. Among traditional biomarkers, procalcitonin (PCT) appears to be the most effective for both selecting bacterial cases and evaluating the severity. However, a precise cut-off separating bacterial from viral and mild from severe cases has not been defined. The three-host protein assay based on C-reactive protein (CRP), tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), plasma interferon-γ protein-10 (IP-10), and micro-array-based whole genome expression arrays might offer more advantages in comparison with former biomarkers. However, further studies are needed before the routine use of those presently in development can be recommended.

  4. Exercise-associated increases in cardiac biomarkers.

    Science.gov (United States)

    Scharhag, Jürgen; George, Keith; Shave, Rob; Urhausen, Axel; Kindermann, Wilfried

    2008-08-01

    At present, the risk of myocardial damage by endurance exercise is under debate because of reports on exercise-associated increases in cardiac biomarkers troponin and B-type natriuretic peptide (BNP); these markers are typically elevated in patients with acute myocardial infarction and chronic heart failure, respectively. Exercise-associated elevations of cardiac biomarkers can be present in elite and in recreational athletes, especially after prolonged and strenuous endurance exercise bouts (e.g., marathon and ultratriathlon). However, in contrast to cardiac patients, it is still unclear if the exercise-associated appearance or increase in cardiac biomarkers in obviously healthy athletes represents clinically significant cardiac insult or is indeed part of the physiological response to endurance exercise. In addition, elevations in cardiac biomarkers in athletes after exercise may generate difficulties for clinicians in terms of differential diagnosis and may result in inappropriate consequences. Therefore, the aim of this article is to provide an overview of exercise-associated alterations of the cardiac biomarkers troponin T and I, ischemia-modified albumin, BNP, and its cleaved inactive fragment N-terminal pro BNP for the athlete, coach, scientist, and clinician.

  5. Reappraisal of hydrocarbon biomarkers in Archean rocks.

    Science.gov (United States)

    French, Katherine L; Hallmann, Christian; Hope, Janet M; Schoon, Petra L; Zumberge, J Alex; Hoshino, Yosuke; Peters, Carl A; George, Simon C; Love, Gordon D; Brocks, Jochen J; Buick, Roger; Summons, Roger E

    2015-05-12

    Hopanes and steranes found in Archean rocks have been presented as key evidence supporting the early rise of oxygenic photosynthesis and eukaryotes, but the syngeneity of these hydrocarbon biomarkers is controversial. To resolve this debate, we performed a multilaboratory study of new cores from the Pilbara Craton, Australia, that were drilled and sampled using unprecedented hydrocarbon-clean protocols. Hopanes and steranes in rock extracts and hydropyrolysates from these new cores were typically at or below our femtogram detection limit, but when they were detectable, they had total hopane (hydrocarbons and diamondoids, which exceed blank concentrations, exhibit individual concentrations up to 80 ng per gram of rock in rock extracts and up to 1,000 ng per gram of rock in hydropyrolysates from the ultraclean cores. These results demonstrate that previously studied Archean samples host mixtures of biomarker contaminants and indigenous overmature hydrocarbons. Therefore, existing lipid biomarker evidence cannot be invoked to support the emergence of oxygenic photosynthesis and eukaryotes by ∼ 2.7 billion years ago. Although suitable Proterozoic rocks exist, no currently known Archean strata lie within the appropriate thermal maturity window for syngenetic hydrocarbon biomarker preservation, so future exploration for Archean biomarkers should screen for rocks with milder thermal histories.

  6. Biomarkers of HIV-associated Cancer

    Directory of Open Access Journals (Sweden)

    Brian Thabile Flepisi

    2014-01-01

    Full Text Available Cancer biomarkers have provided great opportunities for improving the management of cancer patients by enhancing the efficiency of early detection, diagnosis, and efficacy of treatment. Every cell type has a unique molecular signature, referred to as biomarkers, which are identifiable characteristics such as levels or activities of a myriad of genes, proteins, or other molecular features. Biomarkers can facilitate the molecular definition of cancer, provide information about the course of cancer, and predict response to chemotherapy. They offer the hope of early detection as well as tracking disease progression and recurrence. Current progress in the characterization of molecular genetics of HIV-associated cancers may form the basis for improved patient stratification and future targeted or individualized therapies. Biomarker use for cancer staging and personalization of therapy at the time of diagnosis could improve patient care. This review focuses on the relevance of biomarkers in the most common HIV-associated malignancies, namely, Kaposi sarcoma, non-Hodgkin's lymphoma, and invasive cervical cancer.

  7. Use of Obesity Biomarkers in Cardiovascular Epidemiology

    Directory of Open Access Journals (Sweden)

    Tobias Pischon

    2009-01-01

    Full Text Available Obesity is an established risk factor for cardiovascular disease (CVD, yet, the underlying mechanisms are only poorly understood. The adipose tissue produces a variety of hormones and cytokines and thereby actively participates in a network of biomarkers that may be relevant for the development of CVD. Such obesity biomarkers have a great potential to better characterize the obesity phenotype that may be relevant for the risk of CVD beyond anthropometric parameters. They may be used to support mechanistic studies, to help identify individuals at risk for CVD, and to evaluate the effect of preventive measures. The present article discusses the role of some of the most promising obesity biomarkers in cardiovascular epidemiology, including inflammatory markers, adiponectin, resistin, and fetuin-A. Importantly, some of these markers have been related to cardiovascular risk even after accounting for anthropometric parameters. Further, the potential ability to manipulate blood levels of some of these biomarkers through medication, diet and lifestyle make them attractive markers for cardiovascular risk. However, many open questions remain – especially with regard to the causal role of the factors as well as with regard to the extent of improvement in CVD prediction by these markers – before measurement of these biomarkers may be recommended on a public health level.

  8. Protein biomarker validation via proximity ligation assays.

    Science.gov (United States)

    Blokzijl, A; Nong, R; Darmanis, S; Hertz, E; Landegren, U; Kamali-Moghaddam, M

    2014-05-01

    The ability to detect minute amounts of specific proteins or protein modifications in blood as biomarkers for a plethora of human pathological conditions holds great promise for future medicine. Despite a large number of plausible candidate protein biomarkers published annually, the translation to clinical use is impeded by factors such as the required size of the initial studies, and limitations of the technologies used. The proximity ligation assay (PLA) is a versatile molecular tool that has the potential to address some obstacles, both in validation of biomarkers previously discovered using other techniques, and for future routine clinical diagnostic needs. The enhanced specificity of PLA extends the opportunities for large-scale, high-performance analyses of proteins. Besides advantages in the form of minimal sample consumption and an extended dynamic range, the PLA technique allows flexible assay reconfiguration. The technology can be adapted for detecting protein complexes, proximity between proteins in extracellular vesicles or in circulating tumor cells, and to address multiple post-translational modifications in the same protein molecule. We discuss herein requirements for biomarker validation, and how PLA may play an increasing role in this regard. We describe some recent developments of the technology, including proximity extension assays, the use of recombinant affinity reagents suitable for use in proximity assays, and the potential for single cell proteomics. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge. © 2013.

  9. Novel Biomarker Signature That May Predict Aggressive Disease in African American Men With Prostate Cancer

    Science.gov (United States)

    Yamoah, Kosj; Johnson, Michael H.; Choeurng, Voleak; Faisal, Farzana A.; Yousefi, Kasra; Haddad, Zaid; Ross, Ashley E.; Alshalafa, Mohammed; Den, Robert; Lal, Priti; Feldman, Michael; Dicker, Adam P.; Klein, Eric A.; Davicioni, Elai; Rebbeck, Timothy R.; Schaeffer, Edward M.

    2015-01-01

    Purpose We studied the ethnicity-specific expression of prostate cancer (PC) –associated biomarkers to evaluate whether genetic/biologic factors affect ethnic disparities in PC pathogenesis and disease progression. Patients and Methods A total of 154 African American (AA) and 243 European American (EA) patients from four medical centers were matched according to the Cancer of the Prostate Risk Assessment postsurgical score within each institution. The distribution of mRNA expression levels of 20 validated biomarkers reported to be associated with PC initiation and progression was compared with ethnicity using false discovery rate, adjusted Wilcoxon-Mann-Whitney, and logistic regression models. A conditional logistic regression model was used to evaluate the interaction between ethnicity and biomarkers for predicting clinicopathologic outcomes. Results Of the 20 biomarkers examined, six showed statistically significant differential expression in AA compared with EA men in one or more statistical models. These include ERG (P < .001), AMACR (P < .001), SPINK1 (P = .001), NKX3-1 (P = .03), GOLM1 (P = .03), and androgen receptor (P = .04). Dysregulation of AMACR (P = .036), ERG (P = .036), FOXP1 (P = .041), and GSTP1 (P = .049) as well as loss-of-function mutations for tumor suppressors NKX3-1 (P = .025) and RB1 (P = .037) predicted risk of pathologic T3 disease in an ethnicity-dependent manner. Dysregulation of GOLM1 (P = .037), SRD5A2 (P = .023), and MKi67 (P = .023) predicted clinical outcomes, including 3-year biochemical recurrence and metastasis at 5 years. A greater proportion of AA men than EA men had triple-negative (ERG-negative/ETS-negative/SPINK1-negative) disease (51% v 35%; P = .002). Conclusion We have identified a subset of PC biomarkers that predict the risk of clinicopathologic outcomes in an ethnicity-dependent manner. These biomarkers may explain in part the biologic contribution to ethnic disparity in PC outcomes between EA and AA men. PMID

  10. Study design issues in evaluating immune biomarkers.

    Science.gov (United States)

    Bosch, Ronald J; Zhang, Xinyan; Sandler, Netanya G

    2013-03-01

    The dramatic increase in the number and type of immune biomarkers that can be measured, particularly those assessing immune activation, has led to numerous investigations in HIV-infected individuals to explore pathogenesis and to assess therapeutic interventions that aim to attenuate immune activation. An overview is provided on study designs and related statistical and operational issues relevant to these investigations. Cohort studies and nested case-control studies within these cohorts have identified multiple biomarkers that are associated with an increased risk of disease. Early-stage clinical trials of therapies to address these risks in HIV-infected individuals with viral suppression on antiretroviral therapy are a substantial focus of current HIV research. Appropriate study design is essential in biomarker research.

  11. Flavonoids as fruit and vegetable intake biomarkers

    DEFF Research Database (Denmark)

    Krogholm, Kirstine Suszkiewicz

    these dietary assessment questionnaires, and a thorough validation of the FFQ relative to one or two independent reference methods, such as objective biomarkers, is thus particularly important. If two independent reference methods are measured it is possible to use the method of triads for the validation, while...... calculation of the bivariate correlation coefficients is the common approach when using only one reference method. Back in 2002, a strictly controlled dietary intervention study indicated that the sum of 7 different flavonoid aglycones excreted in 24h urine samples potentially could be used as a biomarker...... of fruit and vegetable intake (Nielsen et al. 2002). The overall aim of the present Ph.D. thesis was to further develop and validate this potentially new fruit and vegetable biomarker and furthermore use it for the validation of self-reported dietary intake of fruits and vegetables in intervention...

  12. Chromogranin A as biomarker in diabetes

    DEFF Research Database (Denmark)

    Broedbaek, Kasper; Hilsted, Linda

    2016-01-01

    Chromogranin A (CgA) is an established plasma marker of neuroendocrine tumors and has been suggested to also have a role as biomarker in other diseases. Whether CgA has any role as biomarker in diabetes is, however, unresolved, but its widespread distribution in the secretory granules in endocrine...... tissues including β cells and α cells in pancreas, and the metabolic effects of its peptide fragments suggest that CgA may play a pathophysiological role in diabetes, and thus also be a potential diabetes biomarker. In this review, we summarize the available information on CgA and some of its functional...... post-translational cleavage products in diabetes, followed by a discussion of its potential as a plasma marker in diabetes and the methodological concerns involved....

  13. Glycan microarrays: powerful tools for biomarker discovery.

    Science.gov (United States)

    Muthana, Saddam M; Gildersleeve, Jeffrey C

    2014-01-01

    Over the last 10 years, glycan microarray technology has emerged as a powerful high-throughput tool for studying the interactions of carbohydrates with a variety of biomolecules. The array format allows one to screen thousands of binding interactions in a single experiment using minimal amounts of scarce materials. More recently, this technology has been applied to the discovery of biomarkers for diagnosis, prognosis, risk prediction, and monitoring immune responses. Biomarker discovery using glycan arrays has primarily focused on monitoring changes to the anti-glycan antibody repertoires in serum, since the populations of antibodies can change significantly with the onset of disease, exposure to pathogens, or vaccination. Herein, we review efforts to use glycan arrays to identify new biomarkers for cancer, infections, autoimmune diseases, and immune responses.

  14. Advances in Biomarker Research for Pancreatic Cancer

    Science.gov (United States)

    Bhat, Kruttika; Wang, Fengfei; Ma, Qingyong; Li, Qinyu; Mallik, Sanku; Hsieh, Tze-chen; Wu, Erxi

    2012-01-01

    Pancreatic cancer (PC) is a leading cause of cancer related deaths in United States. The lack of early symptoms results in late-stage detection and a high mortality rate. Currently, the only potentially curative approach for PC is surgical resection, which is often unsuccessful because the invasive and metastatic nature of the tumor masses makes their complete removal difficult. Consequently, patients suffer relapses from remaining cancer stem cells or drug resistance that eventually lead to death. To improve the survival rate, the early detection of PC is critical. Current biomarker research in PC indicates that a serum carbohydrate antigen, CA 19-9, is the only available biomarker with approximately 90% specificity to PC. However, the efficacy of CA 19-9 for assessing prognosis and monitoring patients with PC remains contentious. Thus, advances in technology and the detection of new biomarkers with high specificity to PC are needed to reduce the mortality rate of pancreatic cancer. PMID:22372502

  15. Flavonoids as fruit and vegetable intake biomarkers

    DEFF Research Database (Denmark)

    Krogholm, Kirstine Suszkiewicz

    calculation of the bivariate correlation coefficients is the common approach when using only one reference method. Back in 2002, a strictly controlled dietary intervention study indicated that the sum of 7 different flavonoid aglycones excreted in 24h urine samples potentially could be used as a biomarker...... of fruit and vegetable intake (Nielsen et al. 2002). The overall aim of the present Ph.D. thesis was to further develop and validate this potentially new fruit and vegetable biomarker and furthermore use it for the validation of self-reported dietary intake of fruits and vegetables in intervention...... and cohort studies. The Ph.D. thesis contains four scientific papers. Paper I provides evidence that the sum of 7 flavonoids in 24h urine respond in a linear and sensitive manner to moderate increases in the intake of fruits and vegetables, and thus consolidates that the flavonoids are a valid biomarker...

  16. Advances in biomarkers of major depressive disorder.

    Science.gov (United States)

    Huang, Tiao-Lai; Lin, Chin-Chuen

    2015-01-01

    Major depressive disorder (MDD) is characterized by mood, vegetative, cognitive, and even psychotic symptoms and signs that can cause substantial impairments in quality of life and functioning. Biomarkers are measurable indicators that could help diagnosing MDD or predicting treatment response. In this chapter, lipid profiles, immune/inflammation, and neurotrophic factor pathways that have long been implicated in the pathogenesis of MDD are discussed. Then, pharmacogenetics and epigenetics of serotonin transport and its metabolism pathway, brain-derived neurotrophic factor, and abnormality of hypothalamo-pituitary-adrenocortical axis also revealed new biomarkers. Lastly, new techniques, such as proteomics and metabolomics, which allow researchers to approach the studying of MDD with new directions and make new discoveries are addressed. In the future, more data are needed regarding pathophysiology of MDD, including protein levels, single nucleotide polymorphism, epigenetic regulation, and clinical data in order to better identify reliable and consistent biomarkers for diagnosis, treatment choice, and outcome prediction. © 2015 Elsevier Inc. All rights reserved.

  17. Current early diagnostic biomarkers of prostate cancer

    Directory of Open Access Journals (Sweden)

    Min Qu

    2014-08-01

    Full Text Available Prostate cancer (PCa has become to have the highest incidence and the second mortality rate in western countries, affecting men's health to a large extent. Although prostate-specific antigen (PSA was discovered to help diagnose the cancer in an early stage for decades, its specificity is relative low, resulting in unnecessary biopsy for healthy people and over-treatment for patients. Thus, it is imperative to identify more and more effective biomarkers for early diagnosis of PCa in order to distinguish patients from healthy populations, which helps guide an early treatment to lower disease-related mortality by noninvasive or minimal invasive approaches. This review generally describes the current early diagnostic biomarkers of PCa in addition to PSA and summarizes the advantages and disadvantages of these biomarkers.

  18. Biomarkers for CNS involvement in pediatric lupus

    Science.gov (United States)

    Rubinstein, Tamar B; Putterman, Chaim; Goilav, Beatrice

    2015-01-01

    CNS disease, or central neuropsychiatric lupus erythematosus (cNPSLE), occurs frequently in pediatric lupus, leading to significant morbidity and poor long-term outcomes. Diagnosing cNPSLE is especially difficult in pediatrics; many current diagnostic tools are invasive and/or costly, and there are no current accepted screening mechanisms. The most complicated aspect of diagnosis is differentiating primary disease from other etiologies; research to discover new biomarkers is attempting to address this dilemma. With many mechanisms involved in the pathogenesis of cNPSLE, biomarker profiles across several modalities (molecular, psychometric and neuroimaging) will need to be used. For the care of children with lupus, the challenge will be to develop biomarkers that are accessible by noninvasive measures and reliable in a pediatric population. PMID:26079959

  19. 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.

  20. Carbon Monoxide Information Center

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    Full Text Available ... Education Centers Carbon Monoxide Information Center Carbon Monoxide Information Center En Español The Invisible Killer Carbon monoxide, ... Install one and check its batteries regularly. View Information About CO Alarms Other CO Topics Safety Tips ...

  1. Carbon Monoxide Information Center

    Medline Plus

    Full Text Available ... Education Safety Education Centers Carbon Monoxide Information Center Carbon Monoxide Information Center En Español The Invisible Killer Carbon monoxide, also known as CO, is called the "Invisible ...

  2. Biomarkers in cardiovascular disease: Statistical assessment and section on key novel heart failure biomarkers.

    Science.gov (United States)

    Dhingra, Ravi; Vasan, Ramachandran S

    2017-02-01

    Cardiovascular disease (CVD) is a leading cause of death worldwide and continues to increase in prevalence compared to previous decades, in part because of the aging of the world population. Atherosclerotic CVD starts at a very young age and progresses over time allowing sufficient time for screening and early detection of the condition. Advances in biomarker research and developments related to CVD over the past 30 years have led to more sensitive screening methods, a greater emphasis on its early detection and diagnosis, and improved treatments resulting in more favorable clinical outcomes in the community. However, the use of biomarkers for different purposes in CVD remains an important area of research that has been explored by scientists over the years and many new developments are still underway. Therefore, a detailed description of all CVD biomarkers that are currently been used or investigated for future use in the field of cardiovascular medicine is out of scope for any review article. In the present review, we do not intend to replicate the information from previous exhaustive review on biomarkers, but highlight key statistical and clinical issues with an emphasis on methods to evaluate the incremental yield of biomarkers, including their clinical utility, a prerequisite before any putative novel biomarker is utilized in clinical practice. In addition, we will summarize information regarding recent novel heart failure biomarkers in current practice, which are undergoing scrutiny before they can be available for clinical use, and their impact on clinical outcomes. Copyright © 2016 Elsevier Inc. All rights reserved.

  3. Novel Biomarkers in Cardiovascular Disease: A Review

    Directory of Open Access Journals (Sweden)

    Anna Meiliana

    2010-12-01

    Full Text Available BACKGROUND: The investigation of novel circulating serum and plasma biomarkers in patients with cardiovascular disease has been accelerating at a remarkable pace. New markers or tests are often presented too early to the medical profession, potentially leading to overuse and, thus, extra burden and costs to patients, the healthcare industry, and the economy. The challenge for clinicians and medical researchers is how to optimally apply existing and new markers/tests. CONTENT: Biomarkers are biological parameters that can be objectively measured and quantified as indicators of normal biologic processes, pathogenic processes, or responses to a therapeutic intervention. Typically thought of as disease process screening, diagnosing, or monitoring tools, biomarkers may also be used to determine disease susceptibility and eligibility for specific therapies. Cardiac biomarkers are protein components of cell structures that are released into circulation when myocardial injury occurs. They play a pivotal role in the diagnosis, risk stratification, and treatment of patients with chest pain and suspected acute coronary syndrome (ACS as well as those with acute exacerbations of heart failure. SUMMARY: Active investigation has brought forward an increasingly large number of novel candidate markers but few have withstood the test of time and become integrated into contemporary clinical care because of their readily apparent diagnostic, prognostic, and/or therapeutic utility. With regard to the more novel biomarkers, careful thought is needed with regard to the appropriate target populations for discovery and validation, as well as the criteria used to sort out the contenders from the pretenders. KEYWORDS: biomarker, cardiovascular disease, atherosclerosis, acute myocardial infarction, heart failure, risk stratification, diagnosis, prognosis.

  4. Mechanistic biomarkers for clinical decision making in rheumatic diseases

    Science.gov (United States)

    Robinson, William H.; Lindstrom, Tamsin M.; Cheung, Regina K.; Sokolove, Jeremy

    2013-01-01

    The use of biomarkers is becoming increasingly intrinsic to the practice of medicine and holds great promise for transforming the practice of rheumatology. Biomarkers have the potential to aid clinical diagnosis when symptoms are present or to provide a means of detecting early signs of disease when they are not. Some biomarkers can serve as early surrogates of eventual clinical outcomes or guide therapeutic decision making by enabling identification of individuals likely to respond to a specific therapy. Using biomarkers might reduce the costs of drug development by enabling individuals most likely to respond to be enrolled in clinical trials, thereby minimizing the number of participants required. In this Review, we discuss the current use and the potential of biomarkers in rheumatology and in select fields at the forefront of biomarker research. We emphasize the value of different types of biomarkers, addressing the concept of ‘actionable’ biomarkers, which can be used to guide clinical decision making, and ‘mechanistic’ biomarkers, a subtype of actionable biomarker that is embedded in disease pathogenesis and, therefore, represents a superior biomarker. We provide examples of actionable and mechanistic biomarkers currently available, and discuss how development of such biomarkers could revolutionize clinical practice and drug development. PMID:23419428

  5. VOC breath biomarkers in lung cancer.

    Science.gov (United States)

    Saalberg, Yannick; Wolff, Marcus

    2016-08-01

    This review provides an overview of volatile organic compounds (VOCs) which are considered lung cancer biomarkers for diagnostic breath analysis. It includes results of scientific publications from 1985 to 2015. The identified VOCs are listed and ranked according to their occurrence of nomination. The applied detection and sampling methods are specified but not evaluated. Possible reasons for the different results of the studies are stated. Among the most frequently emerging biomarkers are 2-butanone and 1-propanol as well as isoprene, ethylbenzene, styrene and hexanal. The outcome of this review may be helpful for the development of a lung cancer screening device. Copyright © 2016 Elsevier B.V. All rights reserved.

  6. Biomarkers of secondhand smoke exposure in automobiles.

    Science.gov (United States)

    Jones, Ian A; St Helen, Gideon; Meyers, Matthew J; Dempsey, Delia A; Havel, Christopher; Jacob, Peyton; Northcross, Amanda; Hammond, S Katharine; Benowitz, Neal L

    2014-01-01

    The objectives of this study were: (1) to characterise the exposure of non-smokers exposed to secondhand smoke (SHS) in a vehicle using biomarkers, (2) to describe the time course of the biomarkers over 24 h, and (3) to examine the relationship between tobacco biomarkers and airborne concentrations of SHS markers. Eight non-smokers were individually exposed to SHS in cars with fully open front windows and closed back windows over an hour from a smoker who smoked three cigarettes at 20 min intervals. The non-smokers sat in the back seat on the passenger side, while the smoker sat in the driver's seat. Plasma cotinine and urine cotinine, 3-hydroxycotinine (3HC) and 4-(methylnitrosoamino)-(3-pyridyl)-1-butanol (NNAL) were compared in samples taken at baseline (BL) and several time-points after exposure. Nicotine, particulate matter (PM2.5) and carbon monoxide (CO) were measured inside and outside the vehicle and ventilation rates in the cars were measured. Average plasma cotinine and the molar sum of urine cotinine and 3HC (COT+3HC) increased four-fold, urine cotinine increased six-fold and urine NNAL increased ∼27 times compared to BL biomarker levels. Plasma cotinine, urine COT+3HC and NNAL peaked at 4-8 h post-exposure while urine cotinine peaked within 4 h. Plasma cotinine was significantly correlated to PM2.5 (Spearman correlation rs=0.94) and CO (rs=0.76) but not to air nicotine. The correlations between urine biomarkers, cotinine, COT+3HC and NNAL, and air nicotine, PM2.5 and CO were moderate but non-significant (rs range =  0.31-0.60). Brief SHS exposure in cars resulted in substantial increases in levels of tobacco biomarkers in non-smokers. For optimal characterisation of SHS exposure, tobacco biomarkers should be measured within 4-8 h post-exposure. Additional studies are needed to better describe the relationship between tobacco biomarkers and environmental markers of SHS.

  7. WONOEP appraisal: Imaging biomarkers in epilepsy.

    Science.gov (United States)

    van Vliet, Erwin A; Dedeurwaerdere, Stefanie; Cole, Andrew J; Friedman, Alon; Koepp, Matthias J; Potschka, Heidrun; Immonen, Riikka; Pitkänen, Asla; Federico, Paolo

    2017-03-01

    Neuroimaging offers a wide range of opportunities to obtain information about neuronal activity, brain inflammation, blood-brain barrier alterations, and various molecular alterations during epileptogenesis or for the prediction of pharmacoresponsiveness as well as postoperative outcome. Imaging biomarkers were examined during the XIII Workshop on Neurobiology of Epilepsy (XIII WONOEP) organized in 2015 by the Neurobiology Commission of the International League Against Epilepsy (ILAE). Here we present an extended summary of the discussed issues and provide an overview of the current state of knowledge regarding the biomarker potential of different neuroimaging approaches for epilepsy. Wiley Periodicals, Inc. © 2016 International League Against Epilepsy.

  8. Biomarkers in Multiple Sclerosis: Role of Antibodies

    Directory of Open Access Journals (Sweden)

    Thomas Berger

    2006-01-01

    Full Text Available The first international workshop on “Biomarkers in Multiple Sclerosis” was organized by B. Bielekova, R. Hohlfeld, R. Martin and U. Utz from April 14–16, 2004, in Washington, DC. The workshop intended to discuss the current status and potential applicability of biological markers for the understanding of the pathogenesis, diagnosis, and therapy of multiple sclerosis. The present review summarizes the presentation on the potential role of antibodies as biomarkers for diagnosis, disease activity, classification and prediction of clinical courses in multiple sclerosis.

  9. Year of Expanding into Circulating Biomarkers

    Science.gov (United States)

    Jia, Shidong; Kuo, Winston Patrick

    2015-01-01

    This editorial article summarizes the achievements and current challenges for the Journal of Circulating Biomarkers (JCB) regarding a more strategic approach to branding and attracting a high quality variety of articles. More emphasis is placed on fostering engagement with academic and industry sources operating at the cutting-edge of translational technologies applied to the field of circulating biomarkers (interface between extracellular vesicles including exosomes and microvesicles, circulating tumour cells, cell-free circulating DNA and circulating protein markers) and with those in the investment arena seeking and providing private funding for this area of research. PMID:28936237

  10. Year of Expanding into Circulating Biomarkers

    Directory of Open Access Journals (Sweden)

    Shidong Jia

    2015-01-01

    Full Text Available This editorial article summarizes the achievements and current challenges for the Journal of Circulating Biomarkers (JCB regarding a more strategic approach to branding and attracting a high quality variety of articles. More emphasis is placed on fostering engagement with academic and industry sources operating at the cutting-edge of transla‐ tional technologies applied to the field of circulating biomarkers (interface between extracellular vesicles including exosomes and microvesicles, circulating tumour cells, cell-free circulating DNA and circulating protein markers and with those in the investment arena seeking and providing private funding for this area of research.

  11. Womens Business Center

    Data.gov (United States)

    Small Business Administration — Women's Business Centers (WBCs) represent a national network of nearly 100 educational centers throughout the United States and its territories, which are designed...

  12. Carbon Monoxide Information Center

    Medline Plus

    Full Text Available ... OnSafety Blog Safety Education Centers Neighborhood Safety Network Community Outreach Resource Center Toy ... Research & Statistics Technical Reports Injury Statistics NEISS ...

  13. Southern California Particle Center

    Data.gov (United States)

    Federal Laboratory Consortium — At the Southern California Particle Center, center researchers will investigate the underlying mechanisms that produce the health effects associated with exposure to...

  14. The Clinical Use of Cerebrospinal Fluid Biomarkers for Alzheimer's Disease Diagnosis: The Italian Selfie.

    Science.gov (United States)

    Sancesario, Giulia M; Toniolo, Sofia; Chiasserini, Davide; Di Santo, Simona G; Zegeer, Josh; Bernardi, Gaetano; Musicco, Massimo; Caltagirone, Carlo; Parnetti, Lucilla; Bernardini, Sergio

    2017-01-01

    Although the use of cerebrospinal fluid (CSF) amyloid β1-42 (Aβ42), tau (T-tau), and phosphorylated tau (p-tau181) gives added diagnostic and prognostic values, the diffusion is still limited in clinical practice and only a restricted number of patients receive an integrated clinico-biological diagnosis. By a survey, we aimed to do a "selfie" of the use and diffusion of CSF biomarkers of dementia in Italy, the standardization of pre-analytical procedures, the harmonization of ranges, and the participation to Quality Control programs. An online questionnaire was sent to the members of SIBioC and SINdem-ITALPLANED and to main neurological clinics all over Italy. In Italy, 25 laboratories provide biomarkers analysis in addition to a network of 15 neighboring hospitals. In sum, 40 neurological centers require CSF analyses. 7/20 regions (35%) lack CSF laboratories. Standardization of pre-analytical procedures is present in 62.02% of the laboratories; only 56.00% of the laboratories participate in International Quality Control. There is no harmonization of cut-offs. In Italy, the use of CSF biomarkers is still limited in clinical practice. Standardization and harmonization of normal ranges are needed. To optimize and expand the use of CSF biomarkers, a cost-benefit analysis should be promoted by scientific societies and national health services.

  15. Diagnostic protein biomarkers for severe, moderate and mild traumatic brain injury

    Science.gov (United States)

    Streeter, Jackson; Hayes, Ronald L.; Wang, Kevin K. W.

    2011-06-01

    Traumatic Brain Injury (TBI) is a major problem in military and civilian medicine. Yet, there are no simple non-invasive diagnostics for TBI. Our goal is to develop and clinically validate blood-based biomarker assays for the diagnosis, prognosis and management of mild, moderate and severe TBI patients. These assays will ultimately be suitable for deployment to far-forward combat environments. Using a proteomic and systems biology approach, we identified over 20 candidate biomarkers for TBI and developed robust ELISAs for at least 6 candidate biomarkers, including Ubiquitin C-terminal hydrolase- L1 (UCH-L1), Glial Fibrillary Acidic Protein (GFAP) and a 145 kDa breakdown products of αII-spectrin (SBDP 145) generated by calpain proteolysis. In a multi-center feasibility study (Biomarker Assessment For Neurotrauma Diagnosis And Improved Triage System (BANDITS), we analyzed CSF and blood samples from 101 adult patients with severe TBI [Glasgow Coma Scale (GCS) patients and 5 moderate TBI patients [GCS 9-15] from 2 sites in a pilot study. We identified that serum levels of UCH-L1, GFAP and SBDP145 have strong diagnostic and prognostic properties for severe TBI over controls. Similarly initial post-TBI serum levels (< 6 h) of UCH-L1 and GFAP have diagnostic characteristics for moderate and mild TBI. We are now furthering assay production, refining assay platforms (both benchtop and point-ofcare/ handheld) and planning a pivotal clinical study to seek FDA approval of these TBI diagnostic assays.

  16. Immune biomarkers in the spectrum of childhood noncommunicable diseases

    NARCIS (Netherlands)

    Skevaki, Chrysanthi; Van Den Berg, Jolice; Jones, Nicholas; Garssen, Johan; Vuillermin, Peter; Levin, Michael; Landay, Alan; Renz, Harald; Calder, Philip C.; Thornton, Catherine A.

    2016-01-01

    A biomarker is an accurately and reproducibly quantifiable biological characteristic that provides an objective measure of health status or disease. Benefits of biomarkers include identification of therapeutic targets, monitoring of clinical interventions, and development of personalized (or

  17. Adiponectin, biomarkers of inflammation and changes in cardiac autonomic function

    DEFF Research Database (Denmark)

    Hansen, Christian Stevns; Vistisen, Dorte; Jørgensen, Marit Eika

    2017-01-01

    BACKGROUND: Biomarkers of inflammation and adiponectin are associated with cardiovascular autonomic neuropathy (CAN) in cross-sectional studies, but prospective data are scarce. This study aimed to assess the associations of biomarkers of subclinical inflammation and adiponectin with subsequent...

  18. De Novo Identification of Biomarker Proteins Using Tandem Mass Spectrometry

    Science.gov (United States)

    Many studies have shown that biological fluids contain an important number of biomarkers associated with various pathologies. For instance, there has been extensive research to identify effective biomarkers as prognostic indicators of breast cancer. An effective approach for biom...

  19. Advances in epigenetic biomarker research in colorectal cancer

    National Research Council Canada - National Science Library

    Xi Wang Ye-Ye Kuang Xiao-Tong Hu

    2014-01-01

    ... making.Since there exists a need to find new biomarkers to improve diagnosis of CRC,the research on epigenetic biomarkers for molecular diagnostics encourages the translation of this field from the bench to clinical...

  20. Biomarkers for predicting complete debulking in ovarian cancer

    DEFF Research Database (Denmark)

    Fagö-Olsen, Carsten Lindberg; Ottesen, Bent; Christensen, Ib Jarle

    2014-01-01

    AIM: We aimed to construct and validate a model based on biomarkers to predict complete primary debulking surgery for ovarian cancer patients. PATIENTS AND METHODS: The study consisted of three parts: Part I: Biomarker data obtained from mass spectrometry, baseline data and, surgical outcome were.......64. CONCLUSION: Our validated model based on biomarkers was unable to predict surgical outcome for patients with ovarian cancer....

  1. Discovering Biomarkers within the Genomic Landscape of Renal Cell Carcinoma

    Science.gov (United States)

    A, Sankin

    2016-01-01

    Recent advances in molecular sequencing technology have led to the discovery of numerous biomarkers in renal cell carcinoma (RCC). These biomarkers have the potential to predict clinical outcomes and aid in clinical management decisions. The following commentary is a review of the preliminary data on some of the most promising genetic biomarker candidates. PMID:27104219

  2. Challenging homeostasis to define biomarkers for nutrition related health

    NARCIS (Netherlands)

    Ommen, van B.; Keijer, J.; Heil, S.G.; Kaput, J.

    2009-01-01

    A primary goal of nutrition research is to optimize health and prevent or delay disease. Biomarkers to quantify health optimization are needed since many if not most biomarkers are developed for diseases. Quantifying normal homeostasis and developing validated biomarkers are formidable tasks because

  3. Multiplexed Electrochemical Immunosensors for Clinical Biomarkers

    Directory of Open Access Journals (Sweden)

    Paloma Yáñez-Sedeño

    2017-04-01

    Full Text Available Management and prognosis of disease requires the accurate determination of specific biomarkers indicative of normal or disease-related biological processes or responses to therapy. Moreover since multiple determinations of biomarkers have demonstrated to provide more accurate information than individual determinations to assist the clinician in prognosis and diagnosis, the detection of several clinical biomarkers by using the same analytical device hold enormous potential for early detection and personalized therapy and will simplify the diagnosis providing more information in less time. In this field, electrochemical immunosensors have demonstrated to offer interesting alternatives against conventional strategies due to their simplicity, fast response, low cost, high sensitivity and compatibility with multiplexed determination, microfabrication technology and decentralized determinations, features which made them very attractive for integration in point-of-care (POC devices. Therefore, in this review, the relevance and current challenges of multiplexed determination of clinical biomarkers are briefly introduced, and an overview of the electrochemical immunosensing platforms developed so far for this purpose is given in order to demonstrate the great potential of these methodologies. After highlighting the main features of the selected examples, the unsolved challenges and future directions in this field are also briefly discussed.

  4. Quantitative multiplex detection of pathogen biomarkers

    Science.gov (United States)

    Mukundan, Harshini; Xie, Hongzhi; Swanson, Basil I; Martinez, Jennifer; Grace, Wynne K

    2014-10-14

    The present invention addresses the simultaneous detection and quantitative measurement of multiple biomolecules, e.g., pathogen biomarkers through either a sandwich assay approach or a lipid insertion approach. The invention can further employ a multichannel, structure with multi-sensor elements per channel.

  5. 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.

  6. Biomarkers in pancreatic adenocarcinoma: current perspectives

    Directory of Open Access Journals (Sweden)

    Swords DS

    2016-12-01

    Full Text Available Douglas S Swords, Matthew A Firpo, Courtney L Scaife, Sean J Mulvihill Department of Surgery, University of Utah Health Sciences, Salt Lake City, UT, USA Abstract: Pancreatic ductal adenocarcinoma (PDAC has a poor prognosis, with a 5-year survival rate of 7.7%. Most patients are diagnosed at an advanced stage not amenable to potentially curative resection. A substantial portion of this review is dedicated to reviewing the current literature on carbohydrate antigen (CA 19-9, which is currently the only guideline-recommended biomarker for PDAC. It provides valuable prognostic information, can predict resectability, and is useful in decision making about neoadjuvant therapy. We also discuss carcinoembryonic antigen (CEA, CA 125, serum biomarker panels, circulating tumor cells, and cell-free nucleic acids. Although many biomarkers have now been studied in relation to PDAC, significant work still needs to be done to validate their usefulness in the early detection of PDAC and management of patients with PDAC. Keywords: pancreatic cancer, biomarkers, screening, CA 19-9, CEA

  7. Biomarkers for Major Depressive Disorder: Economic Considerations.

    Science.gov (United States)

    Bogavac-Stanojevic, Natasa; Lakic, Dragana

    2016-11-01

    Preclinical Research Major depressive disorder (MDD) is a major psychiatric illness and it is predicted to be the second leading cause of disability by 2020 with a lifetime prevalence of about 13%. Selective serotonin reuptake inhibitors (SSRIs) are the most commonly used therapeutic class for MDD. However, response to SSRI treatment varies considerably between patients. Biomarkers of treatment response may enable clinicians to target the appropriate drug for each patient. Biomarkers need to have accuracy in real life, sensitivity, specificity, and relevance to depression. Introduction of MDD biomarkers into the health care system can increase the overall cost of clinical diagnosis of patients. Because of that, decisions to allocate health research funding must be based on drug effectiveness and cost-effectiveness. The assessment of MDD biomarkers should include reliable evidence of associated drug effectiveness, adverse events and consequences (reduced productivity and quality of life, disability) and effectiveness of alternative approaches, other drug classes or behavioral or alternative therapies. In addition, all the variables included in an economic model (probabilities, outcomes, and costs) should be based on reliable evidence gained from the literature-ideally meta-analyses-and the evidence should also be determined by informed and specific expert opinion. Early assessment can guide decisions about whether or not to continue test development, and ideally to optimize the process. Drug Dev Res 77 : 374-378, 2016. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  8. Consensus paper: radiological biomarkers of cerebellar diseases.

    Science.gov (United States)

    Baldarçara, Leonardo; Currie, Stuart; Hadjivassiliou, M; Hoggard, Nigel; Jack, Allison; Jackowski, Andrea P; Mascalchi, Mario; Parazzini, Cecilia; Reetz, Kathrin; Righini, Andrea; Schulz, Jörg B; Vella, Alessandra; Webb, Sara Jane; Habas, Christophe

    2015-04-01

    Hereditary and sporadic cerebellar ataxias represent a vast and still growing group of diseases whose diagnosis and differentiation cannot only rely on clinical evaluation. Brain imaging including magnetic resonance (MR) and nuclear medicine techniques allows for characterization of structural and functional abnormalities underlying symptomatic ataxias. These methods thus constitute a potential source of radiological biomarkers, which could be used to identify these diseases and differentiate subgroups of them, and to assess their severity and their evolution. Such biomarkers mainly comprise qualitative and quantitative data obtained from MR including proton spectroscopy, diffusion imaging, tractography, voxel-based morphometry, functional imaging during task execution or in a resting state, and from SPETC and PET with several radiotracers. In the current article, we aim to illustrate briefly some applications of these neuroimaging tools to evaluation of cerebellar disorders such as inherited cerebellar ataxia, fetal developmental malformations, and immune-mediated cerebellar diseases and of neurodegenerative or early-developing diseases, such as dementia and autism in which cerebellar involvement is an emerging feature. Although these radiological biomarkers appear promising and helpful to better understand ataxia-related anatomical and physiological impairments, to date, very few of them have turned out to be specific for a given ataxia with atrophy of the cerebellar system being the main and the most usual alteration being observed. Consequently, much remains to be done to establish sensitivity, specificity, and reproducibility of available MR and nuclear medicine features as diagnostic, progression and surrogate biomarkers in clinical routine.

  9. Biomarker Guided Therapy in Chronic Heart Failure

    Science.gov (United States)

    Bektas, Sema

    2015-01-01

    This review article addresses the question of whether biomarker-guided therapy is ready for clinical implementation in chronic heart failure. The most well-known biomarkers in heart failure are natriuretic peptides, namely B-type natriuretic peptide (BNP) and N-terminal pro-BNP. They are well-established in the diagnostic process of acute heart failure and prediction of disease prognosis. They may also be helpful in screening patients at risk of developing heart failure. Although studied by 11 small- to medium-scale trials resulting in several positive meta-analyses, it is less well-established whether natriuretic peptides are also helpful for guiding chronic heart failure therapy. This uncertainty is expressed by differences in European and American guideline recommendations. In addition to reviewing the evidence surrounding the use of natriuretic peptides to guide chronic heart failure therapy, this article gives an overview of the shortcomings of the trials, how the results may be interpreted and the future directions necessary to fill the current gaps in knowledge. Therapy guidance in chronic heart failure using other biomarkers has not been prospectively tested to date. Emerging biomarkers, such as galectin-3 and soluble ST2, might be useful in this regard, as suggested by several post-hoc analyses. PMID:28785440

  10. Methylated genes as new cancer biomarkers

    DEFF Research Database (Denmark)

    Brunner, Nils; Duffy, M.J; Napieralski, R.

    2009-01-01

    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...

  11. Cerebrospinal fluid biomarkers for Parkinson's disease

    DEFF Research Database (Denmark)

    Dammann Andersen, Andreas; Binzer, Michael; Stenager, Egon

    2017-01-01

    Diagnosticering af Parkinson's sygdom (PD) er baseret på den kliniske udvikling af sygdommen samt en fysisk undersøgelse af patienten, men fejldiagnosticering sker hyppigt; specielt i tidlige stadier. Biomarkører for PD kan muliggøre en tidligere og mere præcis diagnosticering samt monitorering af...

  12. Biomarkers in Serbian patients with Gaucher disease.

    Science.gov (United States)

    Sumarac, Zorica; Suvajdžić, Nada; Ignjatović, Svetlana; Majkić-Singh, Nada; Janić, Dragana; Petakov, Milan; Dorđević, Maja; Mitrović, Mirjana; Dajak, Marijana; Golubović, Milka; Rodić, Predrag

    2011-08-01

    The aim of the study was to evaluate the efficiency of the biomarkers chitotriosidase (Chito), total acid phosphatase (TACP), angiotensin converting enzyme (ACE) and ferritin in the diagnosis of Gaucher disease (GD) and to assess the utility of biomarkers for monitoring the effects of enzyme replacement therapy (ERT). Forty treatment-naive Gaucher patients were studied. 27/40 GP were put on ERT and monitored every 6 months. The baseline median values of Chito, TACP, ACE and ferritin were highly elevated in GP: 10216 nmol/mL/h, 26.1 U/L, 253 U/L, 515 μg/L, and 555 μg/L, respectively. The only significant difference between mild and moderate GP subgroups is observed for Chito activity (p=0.0116). During ERT, Chito showed the steepest decrease in regard to TACP and ACE, mainly within the first year (71.4%). Among these biomarkers, Chito proved to be the most useful biomarker for diagnosing GD and monitoring the ERT. Copyright © 2011 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

  13. Renal biomarkers and histomorphological alterations in Rattus ...

    African Journals Online (AJOL)

    Hematite (iron ore) is one of the heavy metals causing environmental hazards and damage to the body. This study examined the effect of iron ore on renal function biomarkers and histo architecture in Wistar Rats. A total of 20 male albino Wistar rats subdivided into four groups of 5 rats each were used. Group A served as ...

  14. Biomarkers and Prognosis in Malignant Lymphomas

    NARCIS (Netherlands)

    Hagenbeek, Anton; Gascoyne, Randy D.; Dreyling, Martin; Kluin, Philip; Engert, Andreas; Salles, Gilles

    Approximately 100 hematologists and pathologists from Europe, the United States, and Canada participated in the workshop Biomarkers and Prognosis in Malignant Lymphomas, held in Mandelieu, France,April 11-13, 2008, under the leadership of Anton Hagenbeek, Randy Gascoyne, and Gilles Salles.

  15. Flavonoids as fruit and vegetable intake biomarkers

    DEFF Research Database (Denmark)

    Krogholm, Kirstine Suszkiewicz

    flavonoids are described (quercetin, naringenin and hesperetin), since there was a need for improved understanding of bioavailability and metabolism of the flavonoids included in the flavonoid biomarker assay originally developed by Nielsen et al. (2000). In Paper I-II we observed a high degree of inter...

  16. Deciphering Asthma Biomarkers with Protein Profiling Technology

    Directory of Open Access Journals (Sweden)

    Zhizhou Kuang

    2015-01-01

    Full Text Available Asthma is a chronic inflammatory disease of the airways, resulting in bronchial hyperresponsiveness with every allergen exposure. It is now clear that asthma is not a single disease, but rather a multifaceted syndrome that results from a variety of biologic mechanisms. Asthma is further problematic given that the disease consists of many variants, each with its own etiologic and pathophysiologic factors, including different cellular responses and inflammatory phenotypes. These facets make the rapid and accurate diagnosis (not to mention treatments of asthma extremely difficult. Protein biomarkers can serve as powerful detection tools in both clinical and basic research applications. Recent endeavors from biomedical researchers have developed technical platforms, such as cytokine antibody arrays, that have been employed and used to further the global analysis of asthma biomarker studies. In this review, we discuss potential asthma biomarkers involved in the pathophysiologic process and eventual pathogenesis of asthma, how these biomarkers are being utilized, and how further testing methods might help improve the diagnosis and treatment strain that current asthma patients suffer.

  17. BLOOD BIOMARKERS FOR EVALUATION OF PERINATAL ENCEPHALOPATHY

    Directory of Open Access Journals (Sweden)

    Ernest Marshall Graham

    2016-07-01

    Full Text Available Recent research in identification of brain injury after trauma shows many possible blood biomarkers that may help identify the fetus and neonate with encephalopathy. Traumatic brain injury shares many common features with perinatal hypoxic-ischemic encephalopathy. Trauma has a hypoxic component, and one of the 1st physiologic consequences of moderate-severe traumatic brain injury is apnea. Trauma and hypoxia-ischemia initiate an excitotoxic cascade and free radical injury followed by the inflammatory cascade, producing injury in neurons, glial cells and white matter. Increased excitatory amino acids, lipid peroxidation products and alteration in microRNAs and inflammatory markers are common to both traumatic brain injury and perinatal encephalopathy. The blood-brain barrier is disrupted in both leading to egress of substances normally only found in the central nervous system. Brain exosomes may represent ideal biomarker containers, as RNA and protein transported within the vesicles are protected from enzymatic degradation. Evaluation of fetal or neonatal brain derived exosomes that cross the blood-brain barrier and circulate peripherally has been referred to as the liquid brain biopsy. A multiplex of serum biomarkers could improve upon the current imprecise methods of identifying fetal and neonatal brain injury such as fetal heart rate abnormalities, meconium, cord gases at delivery, and Apgar scores. Quantitative biomarker measurements of perinatal brain injury and recovery could lead to operative delivery only in the presence of significant fetal risk, triage to appropriate therapy after birth and measure the effectiveness of treatment.

  18. CSF biomarkers of Alzheimer disease: "noncognitive" outcomes.

    Science.gov (United States)

    Roe, Catherine M; Fagan, Anne M; Grant, Elizabeth A; Holtzman, David M; Morris, John C

    2013-12-03

    To test whether CSF Alzheimer disease biomarkers (β-amyloid 42 [Aβ42], tau, phosphorylated tau at threonine 181 [ptau181], tau/Aβ42, and ptau181/Aβ42) predict future decline in noncognitive outcomes among individuals cognitively normal at baseline. Longitudinal data from participants (N = 430) who donated CSF within 1 year of a clinical assessment indicating normal cognition and were aged 50 years or older were analyzed. Mixed linear models were used to test whether baseline biomarker values predicted future decline in function (instrumental activities of daily living), weight, behavior, and mood. Clinical Dementia Rating Sum of Boxes and Mini-Mental State Examination scores were also examined. Abnormal levels of each biomarker were related to greater impairment with time in behavior (p 0.115). As expected, abnormal biomarker values also predicted more rapidly changing Mini-Mental State Examination (p noncognitive Alzheimer disease symptoms studied. Additional work is needed to determine the extent to which these findings generalize to other samples.

  19. Consensus Paper: Radiological Biomarkers of Cerebellar Diseases

    Science.gov (United States)

    Baldarçara, Leonardo; Currie, Stuart; Hadjivassiliou, M.; Hoggard, Nigel; Jack, Allison; Jackowski, Andrea P.; Mascalchi, Mario; Parazzini, Cecilia; Reetz, Kathrin; Righini, Andrea; Schulz, Jörg B.; Vella, Alessandra; Webb, Sara Jane; Habas, Christophe

    2016-01-01

    Hereditary and sporadic cerebellar ataxias represent a vast and still growing group of diseases whose diagnosis and differentiation cannot only rely on clinical evaluation. Brain imaging including magnetic resonance (MR) and nuclear medicine techniques allows for characterization of structural and functional abnormalities underlying symptomatic ataxias. These methods thus constitute a potential source of radiological biomarkers, which could be used to identify these diseases and differentiate subgroups of them, and to assess their severity and their evolution. Such biomarkers mainly comprise qualitative and quantitative data obtained from MR including proton spectroscopy, diffusion imaging, tractography, voxel-based morphometry, functional imaging during task execution or in a resting state, and from SPETC and PET with several radiotracers. In the current article, we aim to illustrate briefly some applications of these neuroimaging tools to evaluation of cerebellar disorders such as inherited cerebellar ataxia, fetal developmental malformations, and immune-mediated cerebellar diseases and of neurodegenerative or early-developing diseases, such as dementia and autism in which cerebellar involvement is an emerging feature. Although these radiological biomarkers appear promising and helpful to better understand ataxia-related anatomical and physiological impairments, to date, very few of them have turned out to be specific for a given ataxia with atrophy of the cerebellar system being the main and the most usual alteration being observed. Consequently, much remains to be done to establish sensitivity, specificity, and reproducibility of available MR and nuclear medicine features as diagnostic, progression and surrogate biomarkers in clinical routine. PMID:25382714

  20. Huntington's disease : functional and structural biomarkers

    NARCIS (Netherlands)

    Dumas, Eve Marie

    2012-01-01

    The aims of this thesis were to gain insight into specific disease processes in Huntington’s Disease (HD) and to identify biomarkers. To achieve these aims, cognitive functioning, structural brain characteristics and intrinstic functional brain connectivity of premanifest and early HD subjects were

  1. Novel biomarkers for cancer detection and prognostication

    NARCIS (Netherlands)

    Mehra, N.

    2007-01-01

    In this thesis we used a variety of approaches for biomarker discovery; in Part I we assessed whether we could identify a non-invasive surrogate markers of angiogenesis, as new vessel formation plays critical roles in the growth and metastatic spread of tumors. Moreover, many agents targeting the

  2. LIPID BIOMARKER ANALYSIS OF MARINE DINOFLAGELLATES

    Science.gov (United States)

    Many marine eukaryotic algae have been shown to possess characteristic chemotaxonomic lipid biomarkers. Dinoflagellates in particular are often characterized by the presence of sterols and pigments that are rarely found in other classes of algae. To evaluate the utility of chemic...

  3. DEFINING BIOMARKER PERFORMANCE AND CLINICAL VALIDITY

    NARCIS (Netherlands)

    Bossuyt, P.M.M.

    2011-01-01

    In the evaluation of biomarkers three questions can be answered: what is the analytical validity of the marker, what is its clinical validity, and does the marker have clinical utility? In most cases, clinical validity will be expressed in terms of the marker's accuracy: the degree to which it can

  4. Statistical Approaches to Candidate Biomarker Panel Selection.

    Science.gov (United States)

    Spratt, Heidi M; Ju, Hyunsu

    2016-01-01

    The statistical analysis of robust biomarker candidates is a complex process, and is involved in several key steps in the overall biomarker development pipeline (see Fig. 22.1, Chap. 19 ). Initially, data visualization (Sect. 22.1, below) is important to determine outliers and to get a feel for the nature of the data and whether there appear to be any differences among the groups being examined. From there, the data must be pre-processed (Sect. 22.2) so that outliers are handled, missing values are dealt with, and normality is assessed. Once the processed data has been cleaned and is ready for downstream analysis, hypothesis tests (Sect. 22.3) are performed, and proteins that are differentially expressed are identified. Since the number of differentially expressed proteins is usually larger than warrants further investigation (50+ proteins versus just a handful that will be considered for a biomarker panel), some sort of feature reduction (Sect. 22.4) should be performed to narrow the list of candidate biomarkers down to a more reasonable number. Once the list of proteins has been reduced to those that are likely most useful for downstream classification purposes, unsupervised or supervised learning is performed (Sects. 22.5 and 22.6, respectively).

  5. Validation of Biomarkers for Prostate Cancer Prognosis

    Science.gov (United States)

    2016-11-01

    prostate cancer is the development of biomarkers that predict occult or incipient aggressive disease in the low-risk population. To address this...8-10 vs. <=6 5.13 1.92 13.75 0.001 6. P27 is not significantly associated with RFS after adjusting for clinical predictors (Manuscript in

  6. Genetic and Biochemical Biomarkers in Canine Glaucoma.

    Science.gov (United States)

    Graham, K L; McCowan, C; White, A

    2017-03-01

    In many health-related fields, there is great interest in the identification of biomarkers that distinguish diseased from healthy individuals. In addition to identifying the diseased state, biomarkers have potential use in predicting disease risk, monitoring disease progression, evaluating treatment efficacy, and informing pathogenesis. This review details the genetic and biochemical markers associated with canine primary glaucoma. While there are numerous molecular markers (biochemical and genetic) associated with glaucoma in dogs, there is no ideal biomarker that allows early diagnosis and/or identification of disease progression. Genetic mutations associated with canine glaucoma include those affecting ADAMTS10, ADAMTS17, Myocilin, Nebulin, COL1A2, RAB22A, and SRBD1. With the exception of Myocilin, there is very limited crossover in genetic biomarkers identified between human and canine glaucomas. Mutations associated with canine glaucoma vary between and within canine breeds, and gene discoveries therefore have limited overall effects as a screening tool in the general canine population. Biochemical markers of glaucoma include indicators of inflammation, oxidative stress, serum autoantibodies, matrix metalloproteinases, tumor necrosis factor-α, and transforming growth factor-β. These markers include those that indicate an adaptive or protective response, as well as those that reflect the damage arising from oxidative stress.

  7. 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.)

  8. Biomarkers for cardiovascular risk in children.

    Science.gov (United States)

    Canas, Jose A; Sweeten, Shawn; Balagopal, Prabhakaran Babu

    2013-03-01

    The magnitude of lifetime risk of cardiovascular disease (CVD) has radically increased along with the high prevalence of obesity in children. The spotlight is now on dysfunctional adiposity as a precursor for the development of premature CVD. As full-blown CVD is not present in childhood, there is a critical need for surrogate markers to best assess, predict, and treat the children who are vulnerable to developing CVD. Accumulation of excess fat mass can be conceived as a derangement in the balance between energy intake and expenditure. This appears to provoke various structural and metabolic alterations leading to adipocyte dysfunction, with important cardiovascular health consequences. Subclinical inflammation, insulin resistance, oxidative stress, and endothelial dysfunction appear to play important roles early in the clinical course of obesity. Associations between biomarkers and noninvasive measures of early atherosclerosis in children continue to emerge and several biomarkers appear to be promising. At present, there are no explicit data to recommend any of these biomarkers as a routine clinical marker of CVD in children. More work is needed to validate these biomarkers and to improve understanding of their role in CVD risk prediction in the pediatric population.

  9. Biomarkers in Japanese Encephalitis: A Review

    Science.gov (United States)

    Kant Upadhyay, Ravi

    2013-01-01

    JE is a flavivirus generated dreadful CNS disease which causes high mortality in various pediatric groups. JE disease is currently diagnosed by measuring the level of viral antigens and virus neutralization IgM antibodies in blood serum and CSF by ELISA. However, it is not possible to measure various disease-identifying molecules, structural and molecular changes occurred in tissues, and cells by using such routine methods. However, few important biomarkers such as cerebrospinal fluid, plasma, neuro-imaging, brain mapping, immunotyping, expression of nonstructural viral proteins, systematic mRNA profiling, DNA and protein microarrays, active caspase-3 activity, reactive oxygen species and reactive nitrogen species, levels of stress-associated signaling molecules, and proinflammatory cytokines could be used to confirm the disease at an earlier stage. These biomarkers may also help to diagnose mutant based environment specific alterations in JEV genotypes causing high pathogenesis and have immense future applications in diagnostics. There is an utmost need for the development of new more authentic, appropriate, and reliable physiological, immunological, biochemical, biophysical, molecular, and therapeutic biomarkers to confirm the disease well in time to start the clinical aid to the patients. Hence, the present review aims to discuss new emerging biomarkers that could facilitate more authentic and fast diagnosis of JE disease and its related disorders in the future. PMID:24455705

  10. Device and method for measuring biomarkers

    NARCIS (Netherlands)

    Wiedemair, Justyna; Olthuis, Wouter; van den Berg, Albert

    2011-01-01

    The invention relates to a device for the measurement of hydrogen peroxide and optionally other biomarkers in a gaseous mixture, and in particular to a microfabricated device. The device comprises hydrogen peroxide capturing means and an electromechanical sensor comprising a sensing element in

  11. Device and method for measuring biomarkers

    NARCIS (Netherlands)

    Wiedemair, Justyna; Olthuis, Wouter; van den Berg, Albert

    2012-01-01

    The invention relates to a device for the measurement of hydrogen peroxide and optionally other biomarkers in a gaseous mixture, and in particular to a microfabricated device. The device comprises hydrogen peroxide capturing means and an electromechanical sensor comprising a sensing element in

  12. Quantitative multiplex detection of pathogen biomarkers

    Energy Technology Data Exchange (ETDEWEB)

    Mukundan, Harshini; Xie, Hongzhi; Swanson, Basil I.; Martinez, Jennifer; Grace, Wynne K.

    2016-02-09

    The present invention addresses the simultaneous detection and quantitative measurement of multiple biomolecules, e.g., pathogen biomarkers through either a sandwich assay approach or a lipid insertion approach. The invention can further employ a multichannel, structure with multi-sensor elements per channel.

  13. Stratum corneum biomarkers for inflammatory skin diseases

    NARCIS (Netherlands)

    Koppes, S.A.

    2017-01-01

    This thesis focusses on development of biomarkers, obtained by a non-invasive sampling method, for skin inflammatory diseases relevant for occupational settings; irritant contact dermatitis (ICD), allergic contact dermatitis (ACD) and atopic dermatitis (AD). In various studies, in which different

  14. Multiplexed Electrochemical Immunosensors for Clinical Biomarkers

    Science.gov (United States)

    Yáñez-Sedeño, Paloma; Campuzano, Susana; Pingarrón, José M.

    2017-01-01

    Management and prognosis of disease requires the accurate determination of specific biomarkers indicative of normal or disease-related biological processes or responses to therapy. Moreover since multiple determinations of biomarkers have demonstrated to provide more accurate information than individual determinations to assist the clinician in prognosis and diagnosis, the detection of several clinical biomarkers by using the same analytical device hold enormous potential for early detection and personalized therapy and will simplify the diagnosis providing more information in less time. In this field, electrochemical immunosensors have demonstrated to offer interesting alternatives against conventional strategies due to their simplicity, fast response, low cost, high sensitivity and compatibility with multiplexed determination, microfabrication technology and decentralized determinations, features which made them very attractive for integration in point-of-care (POC) devices. Therefore, in this review, the relevance and current challenges of multiplexed determination of clinical biomarkers are briefly introduced, and an overview of the electrochemical immunosensing platforms developed so far for this purpose is given in order to demonstrate the great potential of these methodologies. After highlighting the main features of the selected examples, the unsolved challenges and future directions in this field are also briefly discussed. PMID:28448466

  15. Biomarkører for anorexia nervosa

    DEFF Research Database (Denmark)

    Sjögren, Magnus

    2017-01-01

    Biomarkers for anorexia nervosa (AN) which reflect the pathophysiology and relate to the aetiology of the disease, are warranted and could bring us one step closer to targeted treatment of AN. Some leads may be found in the biochemistry which often is found disturbed in AN, although normalization...

  16. Characterization of renal biomarkers for use in clinical trials: biomarker evaluation in healthy volunteers

    Directory of Open Access Journals (Sweden)

    Brott DA

    2014-02-01

    Full Text Available David A Brott,1 Scott H Adler,1 Ramin Arani,2 Susan C Lovick,3 Mark Pinches,4 Stephen T Furlong1 1Translational Patient Safety and Enabling Sciences, AstraZeneca Pharmaceuticals, 2AstraZeneca Pharmaceuticals, Wilmington, DE, USA; 3AstraZeneca Pharmaceuticals, 4Global Safety Assessment, AstraZeneca Pharmaceuticals, Macclesfield, Cheshire, UK Background: Several preclinical urinary biomarkers have been qualified and accepted by the health authorities (US Food and Drug Administration, European Medicines Agency, and Pharmaceuticals and Medical Devices Agency for detecting drug-induced kidney injury during preclinical toxicologic testing. Validated human assays for many of these biomarkers have become commercially available, and this study was designed to characterize some of the novel clinical renal biomarkers. The objective of this study was to evaluate clinical renal biomarkers in a typical Phase I healthy volunteer population to determine confidence intervals (pilot reference intervals, intersubject and intrasubject variability, effects of food intake, effect of sex, and vendor assay comparisons. Methods: Spot urine samples from 20 male and 19 female healthy volunteers collected on multiple days were analyzed using single analyte and multiplex assays. The following analytes were measured: α-1-microglobulin, β-2-microglobulin, calbindin, clusterin, connective tissue growth factor, creatinine, cystatin C, glutathione S-transferase-α, kidney injury marker-1, microalbumin, N-acetyl-β-(D glucosaminidase, neutrophil gelatinase-associated lipocalin, osteopontin, Tamm-Horsfall urinary glycoprotein, tissue inhibitor of metalloproteinase 1, trefoil factor 3, and vascular endothelial growth factor. Results: Confidence intervals were determined from the single analyte and multiplex assays. Intersubject and intrasubject variability ranged from 38% to 299% and from 29% to 82% for biomarker concentration, and from 24% to 331% and from 10% to 67% for

  17. Utilizing biomarkers in colorectal cancer: an interview with Ajay Goel.

    Science.gov (United States)

    Goel, Ajay

    2017-12-01

    Ajay Goel speaks to Rachel Jenkins, Commissioning Editor. Ajay Goel, PhD, is a Professor and Director, Center for Gastrointestinal Research, and Director, Center for Translational Genomics and Oncology, at the Baylor Scott & White Research Institute, Baylor University Medical Center in Dallas, Texas. Dr Goel has spent more than 20 years researching cancer and has been the lead author or contributor to over 240 scientific articles published in peer-reviewed international journals and several book chapters. He is also a primary inventor on more than 15 international patents aimed at developing various biomarkers for the diagnosis, prognosis and prediction of gastrointestinal cancers. He is currently using advanced genomic and transcriptomic approaches to develop novel DNA- and miRNA-based biomarkers for the early detection of colorectal cancers. In addition, he is researching the prevention of gastrointestinal cancers using integrative and alternative approaches, including botanical products such as curcumin (from turmeric) and boswellia. Dr Goel is a member of the American Association for Cancer Research (AACR) and the American Gastroenterology Association (AGA) and is on the international editorial boards of several journals including Gastroenterology, Clinical Cancer Research, Carcinogenesis, PLoS ONE, Scientific Reports, Epigenomics, Future Medicine, Alternative Therapies in Heath and Medicine and World Journal of Gastroenterology. He is also actively involved in peer-reviewing activities for more than 100 international scientific journals and various grant review panels of various national and international funding organizations. His research has been actively funded by various private and federal organizations, including funding from the National Cancer Institute (NCI) at the NIH, American Cancer Society (ACS) and other state organizations. He has won more than dozen awards and honors, including the Union of European Gastroenterology Federation's Distinguished

  18. The Process Chain for Peptidomic Biomarker Discovery

    Directory of Open Access Journals (Sweden)

    Michael Schrader

    2006-01-01

    Full Text Available Over the last few years the interest in diagnostic markers for specific diseases has increased continuously. It is expected that they not only improve a patient's medical treatment but also contribute to accelerating the process of drug development. This demand for new biomarkers is caused by a lack of specific and sensitive diagnosis in many diseases. Moreover, diseases usually occur in different types or stages which may need different diagnostic and therapeutic measures. Their differentiation has to be considered in clinical studies as well. Therefore, it is important to translate a macroscopic pathological or physiological finding into a microscopic view of molecular processes and vice versa, though it is a difficult and tedious task. Peptides play a central role in many physiological processes and are of importance in several areas of drug research. Exploration of endogenous peptides in biologically relevant sources may directly lead to new drug substances, serve as key information on a new target and can as well result in relevant biomarker candidates. A comprehensive analysis of peptides and small proteins of a biological system corresponding to the respective genomic information (peptidomics®methods was a missing link in proteomics. A new peptidomic technology platform addressing peptides was recently presented, developed by adaptation of the striving proteomic technologies. Here, concepts of using peptidomics technologies for biomarker discovery are presented and illustrated with examples. It is discussed how the biological hypothesis and sample quality determine the result of the study. A detailed study design, appropriate choice and application of technology as well as thorough data interpretation can lead to significant results which have to be interpreted in the context of the underlying disease. The identified biomarker candidates will be characterised in validation studies before use. This approach for discovery of peptide

  19. Chiral Biomarkers and Microfossils in Carbonaceous Meteorites

    Science.gov (United States)

    Hoover, Richard B.

    2010-01-01

    Homochirality of the biomolecules (D-sugars of DNA and RNA and L-amino acids of proteins) is a fundamental property of all life on Earth. Abiotic mechanisms yield racemic mixtures (D/L=1) of chiral molecules and after the death of an organism, the enantiopure chiral biomolecules slowly racemize. Several independent investigators have now established that the amino acids present in CI1 and CM2 carbonaceous meteorites have a moderate to strong excess of the L-enantiomer. Stable isotope data have established that these amino acids are both indigenous and extraterrestrial. Carbonaceous meteorites also contain many other strong chemical biomarkers including purines and pyrimidines (nitrogen heterocycles of nucleic acids); pristine and phytane (components of the chlorophyll pigment) and morphological biomarkers (microfossils of filamentous cyanobacteria). Energy dispersive X-ray Spectroscopy (EDS) analysis reveals that nitrogen is below the detectability level in most of the meteorite filaments as well as in Cambrian Trilobites and filaments of 2.7 Gya Archaean cyanobacteria from Karelia. The deficiency of nitrogen in the filaments and the total absence of sugars, of twelve of the life-critical protein amino acids, and two of the nucleobases of DNA and RNA provide clear and convincing evidence that these filaments are not modern biological contaminants. This paper reviews the chiral, chemical biomarkers morphological biomarkers and microfossils in carbonaceous meteorites. This paper reviews chiral and morphological biomarkers and discusses the missing nitrogen, sugars, protein amino acids, and nucleobases as ?bio-discriminators? that exclude modern biological contaminants as a possible explanation for the permineralized cyanobacterial filaments found in the meteorites.

  20. Chiral biomarkers and microfossils in carbonaceous meteorites

    Science.gov (United States)

    Hoover, Richard B.

    2010-09-01

    Homochirality of the biomolecules (D-sugars of DNA and RNA and L-amino acids of proteins) is a fundamental property of all life on Earth. Abiotic mechanisms yield racemic mixtures (D/L=1) of chiral molecules and after the death of an organism, the enantiopure chiral biomolecules slowly racemize. Several independent investigators have now established that the amino acids present in CI1 and CM2 carbonaceous meteorites have a moderate to strong excess of the L-enantiomer. Stable isotope data have established that these amino acids are both indigenous and extraterrestrial. Carbonaceous meteorites also contain many other strong chemical biomarkers including purines and pyrimidines (nitrogen heterocycles of nucleic acids); pristine and phytane (components of the chlorophyll pigment) and morphological biomarkers (microfossils of filamentous cyanobacteria). Energy dispersive X-ray Spectroscopy (EDS) analysis reveals that nitrogen is below the detectability level in most of the meteorite filaments as well as in Cambrian Trilobites and filaments of 2.7 Gya Archaean cyanobacteria from Karelia. The deficiency of nitrogen in the filaments and the total absence of sugars, of twelve of the life-critical protein amino acids, and two of the nucleobases of DNA and RNA provide clear and convincing evidence that these filaments are not modern biological contaminants. This paper reviews the chiral, chemical biomarkers morphological biomarkers and microfossils in carbonaceous meteorites. This paper reviews chiral and morphological biomarkers and discusses the missing nitrogen, sugars, protein amino acids, and nucleobases as "bio-discriminators" that exclude modern biological contaminants as a possible explanation for the permineralized cyanobacterial filaments found in the meteorites.

  1. Soluble biomarkers development in osteoarthritis: from discovery to personalized medicine.

    Science.gov (United States)

    Henrotin, Yves; Sanchez, Christelle; Cornet, Anne; Van de Put, Joachim; Douette, Pierre; Gharbi, Myriam

    2015-01-01

    Specific soluble biomarkers could be a precious tool for diagnosis, prognosis and personalized management of osteoarthritic (OA) patients. To describe the path of soluble biomarker development from discovery to clinical qualification and regulatory adoption toward OA-related biomarker qualification. This review summarizes current guidance on the use of biomarkers in OA in clinical trials and their utility at five stages, including preclinical development and phase 1 to phase 4 trials. It also presents all the available regulatory requirements. The path through the adoption of a specific soluble biomarker for OA is steep but is worth the challenge due to the benefit that it can provide.

  2. Blood-based biomarkers of microvascular pathology in Alzheimer's disease.

    LENUS (Irish Health Repository)

    Ewers, Michael

    2012-02-01

    Sporadic Alzheimer\\'s disease (AD) is a genetically complex and chronically progressive neurodegenerative disorder with molecular mechanisms and neuropathologies centering around the amyloidogenic pathway, hyperphosphorylation and aggregation of tau protein, and neurofibrillary degeneration. While cerebrovascular changes have not been traditionally considered to be a central part of AD pathology, a growing body of evidence demonstrates that they may, in fact, be a characteristic feature of the AD brain as well. In particular, microvascular abnormalities within the brain have been associated with pathological AD hallmarks and may precede neurodegeneration. In vivo assessment of microvascular pathology provides a promising approach to develop useful biological markers for early detection and pathological characterization of AD. This review focuses on established blood-based biological marker candidates of microvascular pathology in AD. These candidates include plasma concentration of vascular cell adhesion molecule-1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1) that are increased in AD. Measures of endothelial vasodilatory function including endothelin (ET-1), adrenomedullin (ADM), and atrial natriuretic peptide (ANP), as well as sphingolipids are significantly altered in mild AD or during the predementia stage of mild cognitive impairment (MCI), suggesting sensitivity of these biomarkers for early detection and diagnosis. In conclusion, the emerging clinical diagnostic evidence for the value of blood-based microvascular biomarkers in AD is promising, however, still requires validation in phase II and III diagnostic trials. Moreover, it is still unclear whether the described protein dysbalances are early or downstream pathological events and how the detected systemic microvascular alterations relate to cerebrovascular and neuronal pathologies in the AD brain.

  3. Blood Biomarkers for the Early Diagnosis of Stroke: The Stroke-Chip Study.

    Science.gov (United States)

    Bustamante, Alejandro; López-Cancio, Elena; Pich, Sara; Penalba, Anna; Giralt, Dolors; García-Berrocoso, Teresa; Ferrer-Costa, Carles; Gasull, Teresa; Hernández-Pérez, María; Millan, Mónica; Rubiera, Marta; Cardona, Pedro; Cano, Luis; Quesada, Helena; Terceño, Mikel; Silva, Yolanda; Castellanos, Mar; Garces, Moisés; Reverté, Silvia; Ustrell, Xavier; Marés, Rafael; Baiges, Joan Josep; Serena, Joaquín; Rubio, Francisco; Salas, Eduardo; Dávalos, Antoni; Montaner, Joan

    2017-09-01

    Stroke diagnosis could be challenging in the acute phase. We aimed to develop a blood-based diagnostic tool to differentiate between real strokes and stroke mimics and between ischemic and hemorrhagic strokes in the hyperacute phase. The Stroke-Chip was a prospective, observational, multicenter study, conducted at 6 Stroke Centers in Catalonia. Consecutive patients with suspected stroke were enrolled within the first 6 hours after symptom onset, and blood samples were drawn immediately after admission. A 21-biomarker panel selected among previous results and from the literature was measured by immunoassays. Outcomes were differentiation between real strokes and stroke mimics and between ischemic and hemorrhagic strokes. Predictive models were developed by combining biomarkers and clinical variables in logistic regression models. Accuracy was evaluated with receiver operating characteristic curves. From August 2012 to December 2013, 1308 patients were included (71.9% ischemic, 14.8% stroke mimics, and 13.3% hemorrhagic). For stroke versus stroke mimics comparison, no biomarker resulted included in the logistic regression model, but it was only integrated by clinical variables, with a predictive accuracy of 80.8%. For ischemic versus hemorrhagic strokes comparison, NT-proBNP (N-Terminal Pro-B-Type Natriuretic Peptide) >4.9 (odds ratio, 2.40; 95% confidence interval, 1.55-3.71; P 4.7 (odds ratio, 2.02; 95% confidence interval, 1.19-3.45; P =0.010), together with age, sex, blood pressure, stroke severity, atrial fibrillation, and hypertension, were included in the model. Predictive accuracy was 80.6%. The studied biomarkers were not sufficient for an accurate differential diagnosis of stroke in the hyperacute setting. Additional discovery of new biomarkers and improvement on laboratory techniques seem necessary for achieving a molecular diagnosis of stroke. © 2017 American Heart Association, Inc.

  4. Enrichment of MCI and early Alzheimer's disease treatment trials using neurochemical and imaging candidate biomarkers.

    LENUS (Irish Health Repository)

    Hampel, H

    2012-02-01

    In the earliest clinical stages of Alzheimer\\'s Disease (AD), when symptoms are mild, clinical diagnosis will still be difficult. AD related molecular mechanisms precede symptoms. Biological markers can serve as early diagnostic indicators, as markers of preclinical pathological change, e.g. underlying mechanisms of action (MoA). Hypothesis based candidates are derived from structural and functional neuroimaging as well as from cerebrospinal fluid (CSF) and plasma. Unbiased exploratory approaches e.g. proteome analysis or rater independent fully automated imaging post-processing methods yield novel candidates. Recent progress in the validation of core feasible imaging and neurochemical biomarkers for functions such as early detection, classification, progression and prediction of AD is summarized. Single core feasible biomarkers can already be used to enrich populations at risk for AD and may be further enhanced using distinct combinations. Some biomarkers are currently in the process of implementation as primary or secondary outcome variables into regulatory guideline documents, e.g. regarding phase II in drug development programs as outcome measures in proof of concept or dose finding studies. There are specific biomarkers available depending on the hypothesized mechanism of action of a medicinal product, e.g. impact on the amyloidogenic cascade or on tauhyperphosphorylation. Ongoing large-scale international controlled multi-center trials will provide further validation of selected core feasible imaging and CSF biomarker candidates as outcome measures in early AD for use in phase III clinical efficacy trials. There is a need of rigorous co-development of biological trait- and statemarker candidates facilitated through planned synergistic collaboration between academic, industrial and regulatory partners.

  5. Increased cellular and circulating biomarkers of oxidative stress in nascent metabolic syndrome.

    Science.gov (United States)

    Jialal, Ishwarlal; Devaraj, Sridevi; Adams-Huet, Beverley; Chen, Xinpu; Kaur, Harmeet

    2012-10-01

    Metabolic syndrome (MetS) confers a greater risk for both cardiovascular disease (CVD) and diabetes. Oxidative stress (OS) could contribute to this excess risk. However, there are few data examining both cellular and circulating biomarkers of OS in MetS uncomplicated by diabetes and CVD. The aim of the study was to evaluate both cellular and circulating biomarkers of OS in MetS uncomplicated by diabetes or CVD. At an academic medical center, we compared MetS (n=43) vs. control subjects (n=33). Fasting blood was collected for monocyte isolation and assay of OS biomarkers. Monocyte nicotinamide adenine dinucleotide phosphate oxidase activity (p22 phox and p47), superoxide anion release, oxidized-low-density lipoprotein (Ox-LDL), nitrotyrosine, and nuclear factor erythroid 2-related factor were measured. There was significantly increased release of superoxide from the monocytes (basal and after activation) of MetS compared with controls adjusted for body mass index. Body mass index-adjusted plasma levels of Ox-LDL and nitrotyrosine were significantly increased in MetS. There was a linear trend between biomarkers of oxidative stress and increasing number of features of MetS. Also, there was a significant increase in nicotinamide adenine dinucleotide phosphate oxidase membrane expression of p22 phox and p47 phox in MetS. The major cellular antioxidant defense, nuclear factor erythroid 2-related factor was significantly decreased. There were significant correlations between homeostasis model assessment insulin resistance index and both Ox-LDL and nitrotyrosine and superoxide and Ox-LDL. Collectively, nascent MetS is associated with increased OS as evidenced by both circulating and cellular biomarkers, and this could contribute to the risk for both diabetes and CVD.

  6. More Accurate Oral Cancer Screening with Fewer Salivary Biomarkers

    Directory of Open Access Journals (Sweden)

    James Michael Menke

    2017-10-01

    Full Text Available Signal detection and Bayesian inferential tools were applied to salivary biomarkers to improve screening accuracy and efficiency in detecting oral squamous cell carcinoma (OSCC. Potential cancer biomarkers are identified by significant differences in assay concentrations, receiver operating characteristic areas under the curve (AUCs, sensitivity, and specificity. However, the end goal is to report to individual patients their risk of having disease given positive or negative test results. Likelihood ratios (LRs and Bayes factors (BFs estimate evidential support and compile biomarker information to optimize screening accuracy. In total, 26 of 77 biomarkers were mentioned as having been tested at least twice in 137 studies and published in 16 summary papers through 2014. Studies represented 10 212 OSCC and 25 645 healthy patients. The measure of biomarker and panel information value was number of biomarkers needed to approximate 100% positive predictive value (PPV. As few as 5 biomarkers could achieve nearly 100% PPV for a disease prevalence of 0.2% when biomarkers were ordered from highest to lowest LR. When sequentially interpreting biomarker tests, high specificity was more important than test sensitivity in achieving rapid convergence toward a high PPV. Biomarkers ranked from highest to lowest LR were more informative and easier to interpret than AUC or Youden index. The proposed method should be applied to more recently published biomarker data to test its screening value.

  7. Biomarkers: background, classification and guidelines for applications in nutritional epidemiology.

    Science.gov (United States)

    Corella, Dolores; Ordovás, José M

    2015-02-26

    One of the main problems in nutritional epidemiology is to assess food intake as well as nutrient/food component intake to a high level of validity and reliability. To help in this process, the need to have good biomarkers that more objectively allow us to evaluate the diet consumed in a more standardized, valid and precise way has often been commented upon. There are various definitions of biomarkers and also different classifications of the same. In general a biomarker can be defined as a characteristic that can objectively measure different biological samples and that can be evaluated as an exposure marker of normal or pathogenic biological processes or of responses to a certain intervention. The biological samples most commonly used in nutritional epidemiology are blood, red blood cells, plasma, serum, urine, nails, saliva, faeces and samples of different tissues. Exposure biomarkers (dietary intake), biomarkers of effects and biomarkers of disease status can be determined from these samples. In turn, exposure biomarkers can be temporarily categorized into markers of acute, medium term or chronic effects. Many difficulties arise in identifying good biomarkers. Currently, advances in omics are opening up new possibilities for obtaining new biomarkers of various kinds, using genomics, epigenomics, transcriptomics, lipidomics, proteomics and metabolomics. We shall review the present situation of biomarkers in nutritional epidemiology as well as the future trends of the new omic biomarkers. Copyright AULA MEDICA EDICIONES 2015. Published by AULA MEDICA. All rights reserved.

  8. Perspective on Clinical Application of Biomarkers in AKI.

    Science.gov (United States)

    Parikh, Chirag R; Mansour, Sherry G

    2017-06-01

    Several biomarkers of renal injury have been identified but the utility of these biomarkers is largely confined to research studies, whereas widespread clinical applicability is limited. This is partly because the use of serum creatinine as the comparator has several limitations and restricts the full interpretation of biomarker performance. To highlight the potential for clinical application of biomarkers, the most pertinent biomarker data are summarized here, using clinically relevant scenarios in which biomarkers could assist with diagnostic and management dilemmas. The paradigms proposed in this review aim to enhance the clinical diagnosis, management, and prognosis of AKI through the combined use of available clinical markers and novel inflammatory, injury, and repair biomarkers. Copyright © 2017 by the American Society of Nephrology.

  9. Biomarkers of intermediate endpoints in environmental and occupational health

    DEFF Research Database (Denmark)

    Knudsen, Lisbeth E; Hansen, Ase M

    2007-01-01

    The use of biomarkers in environmental and occupational health is increasing due to increasing demands on information about health risks from unfavourable exposures. Biomarkers provide information about individual loads. Biomarkers of intermediate endpoints benefit in comparison with biomarkers...... of exposure from the fact that they are closer to the adverse outcome in the pathway from exposure to health effects and may provide powerful information for intervention. Some biomarkers are specific, e.g., DNA and protein adducts, while others are unspecific like the cytogenetic biomarkers of chromosomal...... health effect from the result of the measurement has been performed for the cytogenetic biomarkers showing a predictive value of high levels of CA and increased risk of cancer. The use of CA in future studies is, however, limited by the laborious and sensitive procedure of the test and lack of trained...

  10. Aetiological blood biomarkers of ischaemic stroke.

    Science.gov (United States)

    Sonderer, Julian; Katan Kahles, Mira

    2015-01-01

    Each year, over 5 million people die worldwide from stroke, and at least every sixth patient who survives will experience another stroke within five years [1]. We are therefore eager to advance early and rapid diagnosis, prognosis and optimal risk stratification, as well as secondary prevention. In this context, blood biomarkers may improve patient care, as they have already done in other fields in the past, for example, troponin T/I in patients with heart attacks, natriuretic peptides in patients with heart failure or PCT (procalcitonin) [2] in patients with pneumonia. In the setting of acute stroke, a blood biomarker can be any quantifiable entity that reflects the manifestation of a stroke-related process. The most fruitful implementation of stroke biomarkers is in areas where information from traditional clinical sources is limited. There may be markers, for example, to guide risk stratification, reveal stroke aetiology, identify patients who may benefit most from interventions, monitor treatment efficacy, and recognise the risk of short-term complications or unfavourable long-term outcomes. For this review we focus on blood biomarkers that could help distinguish the underlying aetiology of an ischaemic stroke. Stroke tends to be a much more heterogeneous condition than ischaemic heart disease, which is caused by atherosclerosis in the vast majority of cases. Causes of stroke include small and large vessel disease, cardioembolism, dissections, and rare vasculo- and coagulopathies, among others. Because of this heterogeneity among stroke patients, it is clear that a monolithic approach to stroke prevention or secondary prevention is not warranted. Aetiological classification is important specifically because prognosis, risk of recurrence and management options differ greatly between aetiological subtypes. Considering that today up to 30% of stroke patients still cannot be classified into a specific subtype [3], the ability to improve aetiological classification

  11. Biomarkers in Rheumatoid Arthritis, what is new?

    Science.gov (United States)

    Gavrilă, B I; Ciofu, C; Stoica, V

    2016-01-01

    Rheumatoid arthritis (RA) is a chronic inflammatory disease with autoimmune pathogenesis. It affects mainly small joints (of the hands and feet) and has many systemic manifestations. Studying biomarkers in rheumatology intensely appeared from the need to understand the mechanisms underlying some rheumatic diseases. Discovering new biomarkers with key roles in various stages of evolution, remains a subject of interest for RA. Currently, according to the EULAR 2010 criteria, the rheumatoid factor (RF) and the anti-cyclic citrullinated peptide (anti-CCP) are used for RA diagnosis. Since 2010, new biomarkers were discovered and proved useful in identifying RA in early stages. For a more rigorous management of these cases, one of the key steps in the evolution of patients with RA is to recognize and distinguish the more aggressive forms of the disease through prognostic biomarkers. "Treat to target" recommends the use of 3 composite scores to monitor the evolution of the disease: disease activity score (DAS 28), simple disease activity index (SDAI) and clinical disease activity index (CDAI), but, a new test was developed which better monitors the disease activity. The introduction of biological therapies has revolutionized the treatment of RA. Despite these advances, 20-40% of the patients are declared nonresponders to at least one of the therapies. The patient exposure to the potential side effects and high costs requires the discovery of a biomarker that could identify those who can benefit from the pretreatment of a certain therapy. RA = rheumatoid arthritis, RF = rheumatoid factor, DAS 28 = disease activity score, SDAI = simple disease activity index, CDAI = clinical disease activity index, ACR = American College of Rheumatology, EULAR = European League against Rheumatism, anti-CCP = antibodies against cyclic citrullinated proteins, anti-MCV = mutated citrullinated vimentin antibodies, anti-CarP = antibodies against carbamylated proteins, MBDA = multi biomarker

  12. Biomarkers of selenium status in dogs.

    Science.gov (United States)

    van Zelst, Mariëlle; Hesta, Myriam; Gray, Kerry; Staunton, Ruth; Du Laing, Gijs; Janssens, Geert P J

    2016-01-19

    Inadequate dietary selenium (Se) intake in humans and animals can lead to long term health problems, such as cancer. In view of the owner's desire for healthy longevity of companion animals, the impact of dietary Se provision on long term health effects warrants investigation. Little is currently known regards biomarkers, and rate of change of such biomarkers in relation to dietary selenium intake in dogs. In this study, selected biomarkers were assessed for their suitability to detect changes in dietary Se in adult dogs within eight weeks. Twenty-four dogs were fed a semi-purified diet with an adequate amount of Se (46.1 μg/MJ) over an 8 week period. They were then divided into two groups. The first group remained on the adequate Se diet, the second were offered a semi-purified diet with a low Se concentration (6.5 μg/MJ; 31% of the FEDIAF minimum) for 8 weeks. Weekly urine and blood was collected and hair growth measurements were performed. The urinary Se to creatinine ratio and serum Se concentration were significantly lower in dogs consuming the low Se diet from week 1 onwards, by 84% (adequate 25.3, low 4.1) and 7% (adequate 257 μg/L, low 238 μg/L) respectively. Serum and whole blood glutathione peroxidase were also significantly lower in dogs consuming the low Se diet from weeks 6 and 8 respectively. None of the other biomarkers (mRNA expression and serum copper, creatine kinase, triiodothyronine:thyroxine ratio and hair growth) responded significantly to the low Se diet over the 8 week period. This study demonstrated that urinary Se to creatinine ratio, serum Se and serum and whole blood glutathione peroxidase can be used as biomarkers of selenium status in dogs. Urinary Se to creatinine ratio and serum Se concentrations responded faster to decreased dietary Se than the other parameters. This makes these biomarkers candidates for early screening of long term effects of dietary Se provision on canine health.

  13. Biomarkers in Systemic Juvenile Idiopathic Arthritis: A comparison with biomarkers in Cryopyrin Associated Periodic Syndromes

    Science.gov (United States)

    Nirmala, Nanguneri; Grom, Alexei; Gram, Hermann

    2015-01-01

    Purpose of review This review summarizes biomarkers in Systemic Juvenile Idiopathic Arthritis (sJIA). Broadly, the markers are classified under protein, cellular, gene expression and genetic markers. We also compare the biomarkers in sJIA to biomarkers in cryopyrin associated periodic syndromes (CAPS). Recent findings Recent publications showing the similarity of clinical response of sJIA and CAPS to anti IL1 therapies prompted a comparison at the biomarker level. Summary sJIA traditionally is classified under the umbrella of juvenile idiopathic arthritis. At the clinical phenotypic level, sJIA has several features that are more similar to those seen in Cryopyrin Associated Periodic Syndromes (CAPS). In this review, we summarize biomarkers in sJIA and CAPS and draw upon the various similarities and differences between the two families of diseases. The main difference between sJIA and CAPS biomarkers are genetic markers with CAPS being a family of monogenic diseases with mutations in NLRP3. There have been a small number of publications describing cellular biomarkers in sJIA with no such studies described for CAPS. Many of the protein markers characteristic of sJIA are also seen to characterize CAPS. The gene expression data in both sJIA and CAPS show a strong upregulation of innate immunity pathways. In addition, we describe a strong similarity between sJIA and CAPS at the gene expression level where several genes that form a part of the erythropoiesis signature are upregulated in both sJIA and CAPS. PMID:25050926

  14. A comparative study of biological and metabolic biomarkers between healthy individuals and patients with acne vulgaris: A cross-sectional study protocol.

    Science.gov (United States)

    Kim, Kyuseok; Ha, Injin; Kim, Eunok; Kim, Kyunglee

    2017-11-01

    Acne is a multifactorial dermatosis, which is influenced not only by hormones but also by the biochemical relationship between them and the pilosebaceous unit. Inflammatory cytokines, chemokines, active oxygen, and zinc are known to be associated with the development of acne. Further, steroid metabolism is known as one of the important factors related to sebum secretion and comedone formation in acne. However, there is a lack of studies comparing these human biomarkers between healthy individuals and patients with acne. In particular, no study has investigated the relationship between human biomarkers and patterns of acne yet.The purpose of this study is to investigate diagnostic human biomarkers in acne by comparing the biological and metabolic biomarkers between healthy individuals and patients with acne and identify the relationship between human biomarkers and patterns of acne.This study is a protocol for a cross-sectional study. Forty healthy participants and 60 patients with acne will be recruited at 1 center. We will collect their blood samples and analyze the molecular biological and metabolic biomarkers (cytokines, chemokines, reactive oxygen species, corticotropin-releasing hormone, zinc, amino acid, 1-carbon metabolite, lipid metabolite, etc.). Further, we will administer questionnaires regarding their diet, sleep, stress, and other factors relating to acne and measure their skin elasticity.The study protocol was approved by the Institutional Review Board of Oriental Medical Hospital at Kyung Hee Medical Center (KOMCIRB-161118-HR-062). Written informed consent will be obtained from all the participants. The trial was registered in the Clinical Research Information Service, Republic of Korea: KCT0002212.This trial will provide evidence regarding diagnostic human biomarkers in acne and the relationship between the human biomarkers and patterns of acne.

  15. Oral mucosa biology and salivary biomarkers.

    Science.gov (United States)

    Qin, Rosie; Steel, Andrea; Fazel, Nasim

    Although the surfaces of both the skin and oral mucosa are protected by squamous epithelial cells and fall within the scope of dermatologic practice, the oral cavity contains highly specialized structures and functions distinct from other skin biology and pathologic conditions and are also the purview of clinicians who care for patients with skin and mucosal diseases. We describe the distinct features of the tongue, mucosa, and salivary glands. In particular, we examine the composition and function of the saliva, with special focus on salivary biomarkers. Within the oral cavity, saliva shows great promise as a noninvasive and sensitive marker for many systemic diseases. Biomarkers are being used as diagnostic or monitoring tools for a wide variety of diseases, including systemic lupus erythematosus, Sjögren disease, Behçet disease, and autoimmune blistering disorders, as well as premalignant and malignant lesions of the mouth. Copyright © 2017 Elsevier Inc. All rights reserved.

  16. Flavonoids as fruit and vegetable intake biomarkers

    DEFF Research Database (Denmark)

    Krogholm, Kirstine Suszkiewicz

    calculation of the bivariate correlation coefficients is the common approach when using only one reference method. Back in 2002, a strictly controlled dietary intervention study indicated that the sum of 7 different flavonoid aglycones excreted in 24h urine samples potentially could be used as a biomarker...... and cohort studies. The Ph.D. thesis contains four scientific papers. Paper I provides evidence that the sum of 7 flavonoids in 24h urine respond in a linear and sensitive manner to moderate increases in the intake of fruits and vegetables, and thus consolidates that the flavonoids are a valid biomarker...... of fruit and vegetable intakes. In Paper I, the urinary recovery of the 7 flavonoids in morning spot urine (i.e. all urine voids from midnight including the first morning void) was also found to respond to moderate increases in the intake of fruits and vegetables. However, the association was somewhat...

  17. BMI1: A Biomarker of Hematologic Malignancies

    Directory of Open Access Journals (Sweden)

    Anagh A. Sahasrabuddhe

    2016-01-01

    Full Text Available BMI1 oncogene is a catalytic member of epigenetic repressor polycomb group proteins. It plays a critical role in the regulation of gene expression pattern and consequently several cellular processes during development, including cell cycle progression, senescence, aging, apoptosis, angiogenesis, and importantly self-renewal of adult stem cells of several lineages. Preponderance of evidences indicates that deregulated expression of PcG protein BMI1 is associated with several human malignancies, cancer stem cell maintenance, and propagation. Importantly, overexpression of BMI1 correlates with therapy failure in cancer patients and tumor relapse. This review discusses the diverse mode of BMI1 regulation at transcriptional, posttranscriptional, and posttranslational levels as well as at various critical signaling pathways regulated by BMI1 activity. Furthermore, this review highlights the role of BMI1 as a biomarker and therapeutic target for several subtypes of hematologic malignancies and the importance to target this biomarker for therapeutic applications.

  18. Biomarkers in patients with myocardial fibrosis

    Directory of Open Access Journals (Sweden)

    An Zhe

    2017-10-01

    Full Text Available Myocardial fibrosis is observed in many cardiovascular diseases including hypertension, heart failure and cardiomyopathy. Myocardial fibrosis has been proved to be reversible and treatable only under timely intervention, which makes early detection and assessment of fibrosis crucial. Aside from tissue biopsy as the gold standard for the diagnosis of myocardial fibrosis, circulating biomarkers have been adopted as noninvasive assessment of this lesion. Dysregulated collagen deposition is thought to be the major cause of myocardial fibrosis. Collagens, procollagens, TGF-β, TIMP, galectin-3, and microRNAs are thought to be indicators of myocardial fibrosis. In this review, we summarize the molecules that are frequently used as biomarkers in diagnosis of cardiac fibrosis. Mechanisms of fibrosis that they take part in are also introduced.

  19. Molecular alterations and biomarkers in colorectal cancer

    Science.gov (United States)

    Grady, William M.; Pritchard, Colin C.

    2013-01-01

    The promise of precision medicine is now a clinical reality. Advances in our understanding of the molecular genetics of colorectal cancer genetics is leading to the development of a variety of biomarkers that are being used as early detection markers, prognostic markers, and markers for predicting treatment responses. This is no more evident than in the recent advances in testing colorectal cancers for specific molecular alterations in order to guide treatment with the monoclonal antibody therapies cetuximab and panitumumab, which target the epidermal growth factor receptor (EGFR). In this review, we update a prior review published in 2010 and describe our current understanding of the molecular pathogenesis of colorectal cancer and how these alterations relate to emerging biomarkers for early detection and risk stratification (diagnostic markers), prognosis (prognostic markers), and the prediction of treatment responses (predictive markers). PMID:24178577

  20. Contrast-induced nephropathy and biomarkers

    Directory of Open Access Journals (Sweden)

    Polona Likar

    2013-07-01

    Full Text Available Technological advances in diagnostic medical imaging techniques have contributed to an everincreasing number of individuals being exposed to iodinated contrast media. Despite its relatively good safety recommendations, some patients develop acute renal injury after administration of these contrast media. This phenomenon is called contrast-induced nephropathy (CIN and is a common and potentially serious complication that normally occurs in patients with higher risk for development of acute kidney injury. Recently, many investigators have been intensively examining possible biomarker molecules for early diagnosis of this disease. Nowadays, the biomarker molecule that is becoming most promising is a protein called Nevtrophil gelatinase–associated lipocalin (NGAL, whose concentration increases very quickly in both urine and plasma after structural renal injury and even before functional renal failure. This would permit timely and adequate adjustment of interventions for the prevention of CIN: hydration and forced diuresis.

  1. 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.

  2. [Inflammatory biomarkers in ischemic acute coronary syndrome].

    Science.gov (United States)

    Domínguez-Rodríguez, Alberto; Abreu-González, Pedro

    2015-10-01

    Diagnosing acute coronary syndrome (ACS) in the emergency department is often a complex process. Inflammatory markers might be useful for the rapid assessment of a patient's overall risk and might also help predict future episodes. The clinical use of these biomarkers could potentially lower the number of emergency visits and help in the prevention of future adverse events. The aim of this review was to evaluate the clinical utility of markers of cardiovascular inflammation in emergency patients with ACS. Based on a critical analysis of a selection of the literature, we concluded that none of the biomarkers of cardiovascular inflammation would at present be useful for stratifying risk in emergency situations, aiding prognosis, or guiding therapy for patients with ACS.

  3. 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.

  4. Reproductive immunology: biomarkers of compromised pregnancies

    Energy Technology Data Exchange (ETDEWEB)

    Faulk, W.P.; Coulam, C.B.; McIntyre, J.A.

    1987-10-01

    The objective of this paper is to consider several catagories of biomarkers of human pregnancy. The design of the report is to discuss useful and promising markers and techniques. Research gaps, needs, and priorities are also defined. Useful markers are mixed lymphocyte culture reactions, measures of lymphocytotoxic antibodies, histocompatibility (HLA) typing, and immunohematological evaluations. Promising markers are measures of major basic protein and early pregnancy factor, as well as determinations of trophoblast-lymphocyte cross-reactive (TLX) antigens. Promising techniques are flourescence-activated cell-sorter analysis of maternal blood for fetal and extraembryonic tissues and immunotherapy with TLX and other antigens to prevent spontaneous abortion. It is concluded that immunology has much to offer the development of biomarkers of human pregnancy.

  5. Novel biomarkers and therapies in cardiorenal syndrome.

    Science.gov (United States)

    Latini, Roberto; Aleksova, Aneta; Masson, Serge

    2016-04-01

    Renal and cardiac diseases frequently co-exist and are associated with adverse outcomes. The clinical management of patients with a cardiorenal syndrome aims at reducing fluid overload and congestion, while improving kidney function. Early diagnosis and prompt therapies are key to better outcome. Biomarkers may help to gain insight on the ongoing pathological processes and since an accurate and early diagnosis of the cardiorenal syndrome based on clinical findings is not always possible. Serum creatinine, the derived eGFR and blood urea nitrogen are the standard tools for recognizing changes in renal function but suffer some limitations. In this review we will discuss the role of emerging biomarkers of renal tubular and glomerular injury, bone-mineral axis, or tubular cell-cycle arrest. Copyright © 2016 Elsevier Ltd. All rights reserved.

  6. Novel renal biomarkers to assess cardiorenal syndrome.

    Science.gov (United States)

    Brisco, Meredith A; Testani, Jeffrey M

    2014-12-01

    Renal dysfunction (RD) in heart failure portends adverse outcomes and often limits aggressive medical and decongestive therapies. Despite the high prevalence in this population, not all forms of RD are prognostically or mechanistically equivalent: RD can result from irreversible nephron loss secondary to diabetic or hypertensive kidney disease or it can develop secondary to heart failure (HF) itself, i.e., the cardiorenal syndrome. Furthermore, filtration is only one aspect of renal performance such that significant renal impairment secondary to cardiorenal syndrome can exist despite a normal glomerular filtration rate. Renal biomarkers have the potential to inform some of the intricacies involved in accurately assessing cardiorenal interactions. This article discusses novel biomarkers for cardiorenal syndrome and their utility in the prognosis, diagnosis, and targeted treatment of heart failure-induced RD.

  7. 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. Copyright © 2015 Elsevier Inc. All rights reserved.

  8. Computed Tomography Biomarkers of Vulnerable Coronary Plaques

    Directory of Open Access Journals (Sweden)

    Nyulas Tiberiu

    2016-12-01

    Full Text Available An unstable plaque has a high risk of thrombosis and at the same time for a fast progression of the stenosis degree. Also, “high-risk plaque” and “thrombosis-prone plaque” are used as synonym terms for characterization of a vulnerable plaque. The imaging biomarkers for vulnerable coronary plaques are considered to be spotty calcifications, active remodeling, low-density atheroma and the presence of a ring-like attenuation pattern, also known as the napkin-ring sign. Computed cardiac tomography can determine the plaque composition by assessing the plaque density, which is measured in Hounsfield units (HU. The aim of this manuscript was to provide an update about the most frequently used biomarkers of vulnerability in a vulnerable plaque with the help of computed cardiac tomography.

  9. Metrology Standards for Quantitative Imaging Biomarkers.

    Science.gov (United States)

    Sullivan, Daniel C; Obuchowski, Nancy A; Kessler, Larry G; Raunig, David L; Gatsonis, Constantine; Huang, Erich P; Kondratovich, Marina; McShane, Lisa M; Reeves, Anthony P; Barboriak, Daniel P; Guimaraes, Alexander R; Wahl, Richard L

    2015-12-01

    Although investigators in the imaging community have been active in developing and evaluating quantitative imaging biomarkers (QIBs), the development and implementation of QIBs have been hampered by the inconsistent or incorrect use of terminology or methods for technical performance and statistical concepts. Technical performance is an assessment of how a test performs in reference objects or subjects under controlled conditions. In this article, some of the relevant statistical concepts are reviewed, methods that can be used for evaluating and comparing QIBs are described, and some of the technical performance issues related to imaging biomarkers are discussed. More consistent and correct use of terminology and study design principles will improve clinical research, advance regulatory science, and foster better care for patients who undergo imaging studies.

  10. Flavonoids as fruit and vegetable intake biomarkers

    DEFF Research Database (Denmark)

    Krogholm, Kirstine Suszkiewicz

    Most validation studies show that the food frequency questionnaire (FFQ) is rather low in precision and accuracy, and there is an ongoing debate regarding the applicability of such self-reported data with regard to diet-disease relationships. However, no other method has so far been able to replace...... of fruit and vegetable intake (Nielsen et al. 2002). The overall aim of the present Ph.D. thesis was to further develop and validate this potentially new fruit and vegetable biomarker and furthermore use it for the validation of self-reported dietary intake of fruits and vegetables in intervention...... and cohort studies. The Ph.D. thesis contains four scientific papers. Paper I provides evidence that the sum of 7 flavonoids in 24h urine respond in a linear and sensitive manner to moderate increases in the intake of fruits and vegetables, and thus consolidates that the flavonoids are a valid biomarker...

  11. 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.

  12. Biomarkers for sepsis: past, present and future

    Directory of Open Access Journals (Sweden)

    Giuseppe Chesi

    2016-12-01

    Full Text Available Sepsis is a complication of severe infection associated with high mortality and open diagnostic issues. Treatment strategies are currently limited and essentially based on prompt recognition, aggressive supportive care and early antibiotic treatment. In the last years, extensive antibiotic use has led to selection, propagation and maintenance of drug-resistant microorganisms. In this context, several biomarkers have been proposed for early identification, etiological definition, risk stratification and improving antibiotic stewardship in septic patient care. Among these molecules, only a few have been translated into clinical practice. In this review, we provided an updated overview of established and developing biomarkers for sepsis, focusing our attention on their pathophysiological profile, advantages, limitations, and appropriate evidence-based use in the management of septic patients.

  13. Find a Health Center

    Data.gov (United States)

    U.S. Department of Health & Human Services — HRSA Health Centers care for you, even if you have no health insurance – you pay what you can afford based on your income. Health centers provide services that...

  14. NIH Clinical Centers

    Data.gov (United States)

    Federal Laboratory Consortium — The NIH Clinical Center consists of two main facilities: The Mark O. Hatfield Clinical Research Center, which opened in 2005, houses inpatient units, day hospitals,...

  15. Center for Functional Nanomaterials

    Data.gov (United States)

    Federal Laboratory Consortium — The Center for Functional Nanomaterials (CFN) explores the unique properties of materials and processes at the nanoscale. The CFN is a user-oriented research center...

  16. Carbon Monoxide Information Center

    Medline Plus

    Full Text Available ... Center Carbon Monoxide Information Center En Español The Invisible Killer Carbon monoxide, also known as CO, is called the "Invisible Killer" because it's a colorless, odorless, poisonous gas. ...

  17. MARYLAND ROBOTICS CENTER

    Data.gov (United States)

    Federal Laboratory Consortium — The Maryland Robotics Center is an interdisciplinary research center housed in the Institute for Systems Research (link is external)within the A. James Clark School...

  18. Hydrologic Engineering Center

    Data.gov (United States)

    Federal Laboratory Consortium — The Hydrologic Engineering Center (HEC), an organization within the Institute for Water Resources, is the designated Center of Expertise for the U.S. Army Corps of...

  19. Day Care Centers

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    Department of Homeland Security — This database contains locations of day care centers for 50 states and Washington D.C. and Puerto Rico. The dataset only includes center based day care locations...

  20. Carbon Monoxide Information Center

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    Full Text Available Skip to main content Languages 简体中文 English Bahasa ... Blog Safety Education Centers Neighborhood Safety Network Community Outreach Resource Center Toy Recall Statistics CO Poster ...

  1. Poison Control Centers

    Science.gov (United States)

    ... 1222 immediately. Name State American Association of Poison Control Centers Address AAPCC Central Office NOT A POISON ... not for emergency use. Arkansas ASPCA Animal Poison Control Center Address 1717 S. Philo Road, Suite 36 Urbana, ...

  2. RSW Cell Centered Grids

    Data.gov (United States)

    National Aeronautics and Space Administration — New cell centered grids are generated to complement the node-centered ones uploaded. Six tarballs containing the coarse, medium, and fine mixed-element and pure tet....

  3. Carbon Monoxide Information Center

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    Full Text Available ... Resources OnSafety Blog Safety Education Centers Neighborhood Safety Network Community Outreach Resource Center Toy Recall Statistics CO Poster Contest Pool Safely Business & Manufacturing Business & Manufacturing Business Education Small Business Resources ...

  4. Biomarker in der Osteologie: Aktueller Stand

    Directory of Open Access Journals (Sweden)

    Bieglmayer C

    2006-01-01

    Full Text Available Laboruntersuchungen helfen Ursachen von Osteopathien aufzudecken und Geschwindigkeit und Bilanz des Knochenumbaus zu beurteilen. Diese Faktoren können durch Resorptions- und Anbaumarker erfaßt werden. Für einige Marker haben wir geschlechtsspezifische Referenzbereiche evaluiert. Die Konzentrationsveränderungen zirkulierender Biomarker zeigen Erfolg oder Mißerfolg von osteoprotektiven Therapien erheblich rascher an als densitometrische Messungen. Die zur Interpretation von Verlaufsbeobachtungen wichtigen kleinsten signifikanten Änderungen der Markerspiegel liegen zwischen 15 % und 60%.

  5. 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

  6. Endocannabinoids as biomarkers of human reproduction.

    Science.gov (United States)

    Rapino, Cinzia; Battista, Natalia; Bari, Monica; Maccarrone, Mauro

    2014-01-01

    Infertility is a condition of the reproductive system that affects ∼10-15% of couples attempting to conceive a baby. More than half of all cases of infertility are a result of female conditions, while the remaining cases can be attributed to male factors, or to a combination of both. The search for suitable biomarkers of pregnancy outcome is a challenging issue in human reproduction, aimed at identifying molecules with predictive significance of the reproductive potential of male and female gametes. Among the various candidates, endocannabinoids (eCBs), and in particular anandamide (AEA), represent potential biomarkers of human fertility disturbances. Any perturbation of the balance between synthesis and degradation of eCBs will result in local changes of their tone in human female and male reproductive tracts, which in turn regulates various pathophysiological processes, oocyte and sperm maturation included. PubMed and Web of Science databases were searched for papers using relevant keywords like 'biomarker', 'endocannabinoid', 'infertility', 'pregnancy' and 'reproduction'. In this review, we discuss different studies on the measurements of AEA and related eCBs in human reproductive cells, tissues and fluids, where the local contribution of these bioactive lipids could be critical in ensuring normal sperm fertilizing ability and pregnancy. Based on the available data, we suggest that the AEA tone has the potential to be exploited as a novel diagnostic biomarker of infertility, to be used in association with assays of conventional hormones (e.g. progesterone, β-chorionic gonadotrophin) and semen analysis. However further quantitative research of its predictive capacity is required. © The Author 2014. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  7. 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. Copyright © 2015 Elsevier Inc. All rights reserved.

  8. Identification of Potential Biomarkers for Antimony Susceptibility ...

    Indian Academy of Sciences (India)

    Identification of Potential Biomarkers for Antimony Susceptibility/Resistance in L. donovani Rentala Madhubala School of Life Sciences Jawaharlal Nehru University New Delhi, India · Slide 2 · Slide 3 · Slide 4 · Slide 5 · Slide 6 · Slide 7 · Slide 8 · Slide 9 · Slide 10 · Slide 11 · Slide 12 · Slide 13 · Slide 14 · Slide 15 · Slide 16.

  9. Assessing Cell and Organ Senescence Biomarkers

    Science.gov (United States)

    Bernardes de Jesus, Bruno; Blasco, Maria A.

    2015-01-01

    A major goal in cancer and aging research is to discriminate the biochemical modifications that happen locally that could account for the healthiness or malignancy of tissues. Senescence is one general antiproliferative cellular process that acts as a strong barrier for cancer progression, playing a crucial role in aging. Here, we focus on the current methods to assess cellular senescence, discriminating the advantages and disadvantages of several senescence biomarkers. PMID:22723221

  10. Cerebral biomarkers in women with preeclampsia

    OpenAIRE

    Bergman, Lina

    2017-01-01

    Preeclampsia and eclampsia are among the most common causes of maternal and fetal mortality and morbidity worldwide. There are no reliable means to predict eclampsia or cerebral edema in women with preeclampsia and knowledge of the brain involvement in preeclampsia is still limited. S100B and neuron specific enolase (NSE) are two cerebral biomarkers of glial- and neuronal origin respectively. They are used as predictors for neurological outcome after traumatic brain injuries and cardiac arres...

  11. Circulating biomarkers in acute myofascial pain

    Science.gov (United States)

    Grosman-Rimon, Liza; Parkinson, William; Upadhye, Suneel; Clarke, Hance; Katz, Joel; Flannery, John; Peng, Philip; Kumbhare, Dinesh

    2016-01-01

    Abstract The aims of the present study were to compare levels of circulating inflammatory biomarkers and growth factors between patients with myofascial pain syndrome (MPS) and healthy control participants, and to assess the relationship among inflammatory markers and growth factors in the two groups. Biomarkers levels were assessed in patients (n = 37) with myofascial pain complaints recruited from the hospital emergency department and non-MPS controls (n = 21), recruited via advertisements in the hospital and community. Blood levels of the cytokines, namely, interleukin-6 (IL-6), tumor necrosis factor (TNF), and interleukin-12 (IL-12), and the chemokine, namely, monocyte chemoattractant protein-1 (MCP-1), macrophage-derived chemokine (MDC), eotaxin, granulocyte-macrophage colony-stimulating factor (GM-CSF), interleukin-8 (IL-8), and macrophage inflammatory proteins-1β (MIP-1β) were significantly higher in patients with MPS than controls. The results of the growth factor analyses revealed significantly higher levels of fibroblast growth factor-2 (FGF-2), platelet-derived growth factor (PDGF), and vascular endothelial growth factor (VEGF) in MPS patients versus controls. The pattern of correlation coefficients between cytokines and growth factors differed considerably for MPS patients and controls with far fewer significant positive coefficients observed in the controls. Serum inflammatory and growth factor biomarkers were elevated in MPS patients. Inflammatory biomarkers and growth factor levels may play an important role in the onset and maintenance of MPS and therefore may be useful in the diagnosis and treatment of MPS. Understanding the mechanisms of inflammation in MPS necessitates future research. PMID:27631214

  12. Cardiovascular biomarkers in patients with psoriasis.

    Science.gov (United States)

    Gerdes, Sascha; Osadtschy, Swetlana; Buhles, Norbert; Baurecht, Hansjoerg; Mrowietz, Ulrich

    2014-05-01

    Psoriasis is a systemic inflammatory disease of the skin with associated comorbidity. Severe forms of psoriasis are associated with increased mortality, which might be due to cardiovascular (CV) comorbidity. In this study, we investigated in 79 patients with psoriasis compared to 80 healthy volunteers different biomarkers that play a role in vascular disease and inflammation, such as C-reactive protein (CRP), human soluble CD40 ligand (sCD40L), oxidized low-density lipoprotein (ox-LDL), human matrix Gla protein (MGP) and fetuin-A. Our results showed that CRP (P LDL did not show any significant difference. In multivariate analyses controlling for sex, age and BMI, these findings were confirmed. Thus, CV biomarkers are altered in patients with psoriasis. If the decrease in fetuin-A as well as the increase in sCD40L can be proven in further studies, these biomarkers may help to characterize a subgroup of patients who are at risk to develop CVD and/or monitor the effect of therapeutic antipsoriatic strategies on concomitant diseases. This knowledge may be useful in the management of high-need patients with psoriasis. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  13. Role of biomarkers in patients with dyspnea.

    Science.gov (United States)

    Gori, C S; Magrini, L; Travaglino, F; Di Somma, S

    2011-02-01

    The use of biomarkers has been demonstrated useful in many acute diseases both for diagnosis, prognosis and risk stratification. The purpose of this review is to analyze several biomarkers of potential use in patients referring to Emergency Department with acute dyspnea. The role of natriuretic peptides has a proven utility in the diagnosis, risk stratification, patient management and prediction of outcome in acute and chronic heart failure (HF). New immunoassays are available for the detection of mid-region prohormones in patients with acute dyspnea such as Mid-region pro-adrenomedullin (MR-proADM) and Mid-region pro-atrial natriuretic peptide (MR-proANP). Also procalcitonin, copeptin and D-dimer, which are markers of inflammation, bacterial infections and sepsis, seem to be useful in the differential diagnosis of dyspnea. Conventional and high-sensitivity troponins are fundamental, not only in the diagnosis of acute coronary syndromes, but also as indicators of mortality in patients with acute decompensated heart failure. Further studies with randomized controlled clinical trials will be needed to prove the theoretical clinical advantages offered by a shortness of breath biomarkers in terms of diagnostic, prognostic, cost effective work-up and management of patients with acute dyspnea. A multimarker pannel approach performed by rapid and accurate assays could be useful for emergency physicians to promptly identify different causes of dyspnea thus managing to improve diagnosis, treatment and risk stratification.

  14. Biomarkers of Mercury Exposure in the Amazon

    Directory of Open Access Journals (Sweden)

    Nathália Santos Serrão de Castro

    2014-01-01

    Full Text Available Mercury exposure in the Amazon has been studied since the 1980s decade and the assessment of human mercury exposure in the Amazon is difficult given that the natural occurrence of this metal is high and the concentration of mercury in biological samples of this population exceeds the standardized value of normality established by WHO. Few studies have focused on the discovery of mercury biomarkers in the region’s population. In this way, some studies have used genetics as well as immunological and cytogenetic tools in order to find a molecular biomarker for assessing the toxicological effect of mercury in the Amazonian population. Most of those studies focused attention on the relation between mercury exposure and autoimmunity and, because of that, they will be discussed in more detail. Here we introduce the general aspects involved with each biomarker that was studied in the region in order to contextualize the reader and add information about the Amazonian life style and health that may be considered for future studies. We hope that, in the future, the toxicological studies in this field use high technological tools, such as the next generation sequencing and proteomics skills, in order to comprehend basic questions regarding the metabolic route of mercury in populations that are under constant exposure, such as in the Amazon.

  15. Saliva: A diagnostic biomarker of periodontal diseases

    Science.gov (United States)

    Patil, Priti Basgauda; Patil, Basgauda Ramesh

    2011-01-01

    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. PMID:22368352

  16. Biomarkers of mercury exposure in the Amazon.

    Science.gov (United States)

    de Castro, Nathália Santos Serrão; Lima, Marcelo de Oliveira

    2014-01-01

    Mercury exposure in the Amazon has been studied since the 1980s decade and the assessment of human mercury exposure in the Amazon is difficult given that the natural occurrence of this metal is high and the concentration of mercury in biological samples of this population exceeds the standardized value of normality established by WHO. Few studies have focused on the discovery of mercury biomarkers in the region's population. In this way, some studies have used genetics as well as immunological and cytogenetic tools in order to find a molecular biomarker for assessing the toxicological effect of mercury in the Amazonian population. Most of those studies focused attention on the relation between mercury exposure and autoimmunity and, because of that, they will be discussed in more detail. Here we introduce the general aspects involved with each biomarker that was studied in the region in order to contextualize the reader and add information about the Amazonian life style and health that may be considered for future studies. We hope that, in the future, the toxicological studies in this field use high technological tools, such as the next generation sequencing and proteomics skills, in order to comprehend basic questions regarding the metabolic route of mercury in populations that are under constant exposure, such as in the Amazon.

  17. Salivary Biomarkers in Pediatric Metabolic Disease Research.

    Science.gov (United States)

    Hartman, Mor-Li; Goodson, J Max; Barake, Roula; Alsmadi, Osama; Al-Mutawa, Sabiha; Ariga, Jitendra; Soparkar, Pramod; Behbehani, Jawad; Behbehani, Kazem

    2016-03-01

    The increasing prevalence of childhood obesity and obesity-related metabolic disorders is now considered a global pandemic. The main goal of the pediatric obesity research community is to identify children who are at risk of becoming obese before their body mass index rises above age norms. To do so, we must identify biomarkers of metabolic health and immunometabolism that can be used for large-scale screening and diagnosis initiatives among at-risk children. Because blood sampling is often unacceptable to both parents and children when there is no direct benefit to the child, as in a community-based research study, there is a clear need for a low-risk, non-invasive sampling strategy. Salivary analysis is now well recognized as a likely candidate for this purpose. In this review, we discuss the physiologic role of saliva and its strengths and limitations as a fluid for biomarker discovery, obesity screening, metabolic disease diagnosis, and response monitoring after interventions. We also describe the current state of the salivary biomarker field as it pertains to metabolic research, with a special emphasis on studies conducted in children and adolescents. Finally, we look forward to technological developments, such as salivary "omics" and point of service diagnostic devices, which have the potential to accelerate the pace of research and discovery in this vitally important field.

  18. Biomarkers for cardiac cachexia: reality or utopia.

    Science.gov (United States)

    Martins, Telma; Vitorino, Rui; Amado, Francisco; Duarte, José Alberto; Ferreira, Rita

    2014-09-25

    Cardiac cachexia is a serious complication of chronic heart failure, characterized by significant weight loss and body wasting. Chronic heart failure-related muscle wasting results from a chronic imbalance in the activation of anabolic or catabolic pathways, caused by a series of immunological, metabolic, and neurohormonal processes. In spite of the high morbidity and mortality associated to this condition, there is no universally accepted definition or specific biomarkers for cardiac cachexia, which makes its diagnosis and treatment difficult. Several hormonal, inflammatory and oxidative stress molecules have been proposed as serological markers of prognosis in cardiac cachexia but with doubtful success. As individual biomarkers may have limited sensitivity and specificity, multimarker strategies involving mediators of the biological processes modulated by cardiac cachexia will strongly contribute for the diagnosis and management of the disease, as well as for the establishment of new therapeutic targets. An integrated analysis of the biomarkers proposed so far for cardiac cachexia is made in the present review, highlighting the biological processes to which they are related. Copyright © 2014 Elsevier B.V. All rights reserved.

  19. A comparison of biomarker based incidence estimators.

    Directory of Open Access Journals (Sweden)

    Thomas A McWalter

    Full Text Available BACKGROUND: Cross-sectional surveys utilizing biomarkers that test for recent infection provide a convenient and cost effective way to estimate HIV incidence. In particular, the BED assay has been developed for this purpose. Controversy surrounding the way in which false positive results from the biomarker should be handled has lead to a number of different estimators that account for imperfect specificity. We compare the estimators proposed by McDougal et al., Hargrove et al. and McWalter & Welte. METHODOLOGY/PRINCIPAL FINDINGS: The three estimators are analyzed and compared. An identity showing a relationship between the calibration parameters in the McDougal methodology is shown. When the three estimators are tested under a steady state epidemic, which includes individuals who fail to progress on the biomarker, only the McWalter/Welte method recovers an unbiased result. CONCLUSIONS/SIGNIFICANCE: Our analysis shows that the McDougal estimator can be reduced to a formula that only requires calibration of a mean window period and a long-term specificity. This allows simpler calibration techniques to be used and shows that all three estimators can be expressed using the same set of parameters. The McWalter/Welte method is applicable under the least restrictive assumptions and is the least prone to bias of the methods reviewed.

  20. Cardiopulmonary and inflammatory biomarkers in heartworm disease

    Directory of Open Access Journals (Sweden)

    Elena Carretón

    2017-11-01

    Full Text Available Abstract In heartworm disease, several biomarkers of cardiopulmonary injury and inflammatory activity have been studied during the recent years. D-dimer is a fibrin degradation product present after a clot is degraded, which has been reported to provide support for the diagnosis of pulmonary thromboembolism in heartworm disease. Furthermore, concentrations increment with increased disease severity and during the adulticide treatment. This increase in concentration has proved to be valuable. Cardiac biomarkers troponin I, myoglobin and NT-proBNP demonstrated presence of myocardial injury and heart failure, especially in chronic infections, which in some cases, slightly improve after the adulticide treatment. An acute phase response in dogs with Dirofilaria immitis, characterized by variations of acute phase proteins (APP, has been reported, indicating inflammatory processes that could contribute to disease progression. Among them, C-reactive protein (CRP increases according to the severity of the disease; and a strong correlation between pulmonary hypertension and CRP has been observed. In cats, little work has been done to ascertain the utility of these biomarkers in feline heartworm; the only published study in D. immitis–seropositive cats reported significantly higher concentrations in positive APP serum amyloid A, haptoglobin and ceruloplasmin.

  1. Carbon Monoxide Information Center

    Medline Plus

    Full Text Available ... and Bans Report an Unsafe Product Consumers Businesses Home Safety Education Safety Education Centers Carbon Monoxide Information Center Carbon ... All CO Safety Guides ")); jQuery(".node-type-safety-education-center ... Camping Equipment Home Heating Equipment On Safety Blogs: CO Safety More ...

  2. Fluid-Based Biomarkers for Amyotrophic Lateral Sclerosis.

    Science.gov (United States)

    Vu, Lucas T; Bowser, Robert

    2017-01-01

    Amyotrophic lateral sclerosis (ALS) is a highly heterogeneous disease with no effective treatment. Drug development has been hampered by the lack of biomarkers that aid in early diagnosis, demonstrate target engagement, monitor disease progression, and can serve as surrogate endpoints to assess the efficacy of treatments. Fluid-based biomarkers may potentially address these issues. An ideal biomarker should exhibit high specificity and sensitivity for distinguishing ALS from control (appropriate disease mimics and other neurologic diseases) populations and monitor disease progression within individual patients. Significant progress has been made using cerebrospinal fluid, serum, and plasma in the search for ALS biomarkers, with urine and saliva biomarkers still in earlier stages of development. A few of these biomarker candidates have demonstrated use in patient stratification, predicting disease course (fast vs slow progression) and severity, or have been used in preclinical and clinical applications. However, while ALS biomarker discovery has seen tremendous advancements in the last decade, validating biomarkers and moving them towards the clinic remains more elusive. In this review, we highlight biomarkers that are moving towards clinical utility and the challenges that remain in order to implement biomarkers at all stages of the ALS drug development process.

  3. Molecular neuropsychology: creation of test-specific blood biomarker algorithms.

    Science.gov (United States)

    O'Bryant, Sid E; Xiao, Guanghua; Barber, Robert; Cullum, C Munro; Weiner, Myron; Hall, James; Edwards, Melissa; Grammas, Paula; Wilhelmsen, Kirk; Doody, Rachelle; Diaz-Arrastia, Ramon

    2014-01-01

    Prior work on the link between blood-based biomarkers and cognitive status has largely been based on dichotomous classifications rather than detailed neuropsychological functioning. The current project was designed to create serum-based biomarker algorithms that predict neuropsychological test performance. A battery of neuropsychological measures was administered. Random forest analyses were utilized to create neuropsychological test-specific biomarker risk scores in a training set that were entered into linear regression models predicting the respective test scores in the test set. Serum multiplex biomarker data were analyzed on 108 proteins from 395 participants (197 Alzheimer patients and 198 controls) from the Texas Alzheimer's Research and Care Consortium. The biomarker risk scores were significant predictors (p neuropsychological tests. With the exception of premorbid intellectual status (6.6%), the biomarker risk scores alone accounted for a minimum of 12.9% of the variance in neuropsychological scores. Biomarker algorithms (biomarker risk scores and demographics) accounted for substantially more variance in scores. Review of the variable importance plots indicated differential patterns of biomarker significance for each test, suggesting the possibility of domain-specific biomarker algorithms. Our findings provide proof of concept for a novel area of scientific discovery, which we term 'molecular neuropsychology'. Copyright © 2013 S. Karger AG, Basel.

  4. Evaluating biomarkers for prognostic enrichment of clinical trials.

    Science.gov (United States)

    Kerr, Kathleen F; Roth, Jeremy; Zhu, Kehao; Thiessen-Philbrook, Heather; Meisner, Allison; Wilson, Francis Perry; Coca, Steven; Parikh, Chirag R

    2017-12-01

    A potential use of biomarkers is to assist in prognostic enrichment of clinical trials, where only patients at relatively higher risk for an outcome of interest are eligible for the trial. We investigated methods for evaluating biomarkers for prognostic enrichment. We identified five key considerations when considering a biomarker and a screening threshold for prognostic enrichment: (1) clinical trial sample size, (2) calendar time to enroll the trial, (3) total patient screening costs and the total per-patient trial costs, (4) generalizability of trial results, and (5) ethical evaluation of trial eligibility criteria. Items (1)-(3) are amenable to quantitative analysis. We developed the Biomarker Prognostic Enrichment Tool for evaluating biomarkers for prognostic enrichment at varying levels of screening stringency. We demonstrate that both modestly prognostic and strongly prognostic biomarkers can improve trial metrics using Biomarker Prognostic Enrichment Tool. Biomarker Prognostic Enrichment Tool is available as a webtool at http://prognosticenrichment.com and as a package for the R statistical computing platform. In some clinical settings, even biomarkers with modest prognostic performance can be useful for prognostic enrichment. In addition to the quantitative analysis provided by Biomarker Prognostic Enrichment Tool, investigators must consider the generalizability of trial results and evaluate the ethics of trial eligibility criteria.

  5. Biomarker Motif Discovery by Integrating Mass Spectrometry and PPI Network

    Science.gov (United States)

    Zhou, Xiaobo; Wang, Yuan; Wang, Honghui; Pham, Tuan D.; Li, King

    2011-06-01

    Traditional mass spectrometry biomarker discovery studies which focus on single biomarkers or a panel of biomarkers have shown their limitations with low reproducibility. In this paper, we propose a novel biomarker motif discovery approach by integrating both mass spectrometry data and protein interaction network information together to identify biomarkers. A novel Bayesian score method is developed to score the protein subnetwork both from the expression of protein and from the protein interaction network structure. Compared with the previous biomarker discovery method, our biomarker motif identification method not only models the expression of each protein, but also the relationship of proteins affected by the protein-protein interaction network. The experiment results show that our proposed biomarker discovery method has a higher sensitivity and lower false discovery rates than previously used methods. When applying our biomarker motifs discovery approach to the real stroke mass spectrometry data, we can identify several biomarker motifs for ischemic stroke which can achieve a higher classification performance with high biological significance.

  6. Synovitis biomarkers: ex vivo characterization of three biomarkers for identification of inflammatory osteoarthritis.

    Science.gov (United States)

    Kjelgaard-Petersen, Cecilie; Siebuhr, Anne Sofie; Christiansen, Thorbjørn; Ladel, Christoph; Karsdal, Morten; Bay-Jensen, Anne-Christine

    2015-01-01

    Characterize biomarkers measuring extracellular matrix turnover of inflamed osteoarthritis synovium. Human primary fibroblast-like synoviocytes and synovial membrane explants (SMEs) treated with various cytokines and growth factors were assessed by C1M, C3M, and acMMP3 in the conditioned medium. TNFα significantly increased C1M up to seven-fold (p = 0.0002), C3M up to 24-fold (p = 0.0011), and acMMP3 up to 14-fold (p biomarkers C1M, C3M, and acMMP-3 were synovitis biomarkers ex vivo and provide a translational tool together with the SME model.

  7. [Advances of circulating biomarkers in gastroenteropancreatic neuroendocrine neoplasms].

    Science.gov (United States)

    Chen, Luohai; Chen, Minhu; Chen, Jie

    2017-03-25

    Gastroenteropancreatic neuroendocrine neoplam (GEP-NEN) is a rare group of tumors with its incidence rising significantly in recent decades. Because of the late presentation of the disease and limitations in conventional biomarkers, about 50% of GEP-NEN patients manifests advanced disease when diagnosed. Therefore, it is vital to identify circulating biomarkers which can not only be used for early diagnosis but also accurately evaluating the biological behavior of GEP-NEN. This review summarizes the advances of circulating biomarkers in diagnosing and evaluating efficacy of treatment in GEP-NEN. Well-known circulating biomarkers include chromogranin A (CgA), pancreastatin (PST), chromogranin B (CgB), neuron-specific enolase (NSE) and pancreatic peptide(PP). Novel biomarkers including circulating tumor cell(CTC), microRNA and NETest are promising biomarkers with potential clinical benefit, but further researches are needed before their clinical applications.

  8. Disentangling Prognostic and Predictive Biomarkers Through Mutual Information.

    Science.gov (United States)

    Sechidis, Konstantinos; Turner, Emily; Metcalfe, Paul; Weatherall, James; Brown, Gavin

    2017-01-01

    We study information theoretic methods for ranking biomarkers. In clinical trials, there are two, closely related, types of biomarkers: predictive and prognostic, and disentangling them is a key challenge. Our first step is to phrase biomarker ranking in terms of optimizing an information theoretic quantity. This formalization of the problem will enable us to derive rankings of predictive/prognostic biomarkers, by estimating different, high dimensional, conditional mutual information terms. To estimate these terms, we suggest efficient low dimensional approximations. Finally, we introduce a new visualisation tool that captures the prognostic and the predictive strength of a set of biomarkers. We believe this representation will prove to be a powerful tool in biomarker discovery.

  9. Biomarker Based Therapy in Pancreatic Ductal Adenocarcinoma: An Emerging Reality?

    Science.gov (United States)

    Krantz, Benjamin A; O'Reilly, Eileen M

    2017-12-21

    Over the last decade many of the major solid organ cancers have seen improvements in survival due to development of novel therapeutics and corresponding biomarkers that predict treatment efficacy or resistance. In contrast, in pancreatic ductal adenocarcinoma (PDAC) favorable outcomes remain challenging, in part related to the lack of validated biomarkers for patient and treatment selection and thus optimal clinical decision-making. Nonetheless, increasingly therapeutic development for PDAC is accompanied by bioassays to evaluate response and study mechanism of actions with a corresponding increase in the number of trials in mid to late-stage with integrated biomarkers. Additionally, blood based biomarkers that provide a measure of disease activity and allow for minimally invasive tumor analyses are emerging, including circulating tumor DNA, exosomes and circulating tumor cells. In this article, we will review potential biomarkers for currently approved therapies as well as emerging biomarkers for therapeutics under development. Copyright ©2017, American Association for Cancer Research.

  10. Challenges in the analysis of epigenetic biomarkers in clinical samples.

    Science.gov (United States)

    García-Giménez, José Luis; Mena-Mollá, Salvador; Beltrán-García, Jesús; Sanchis-Gomar, Fabian

    2017-08-28

    Epigenetic modifications represent an interesting landscape which can describe relevant features of human disease. Epigenetic biomarkers show several advantages as disease biomarkers because they provide information about gene function, specific endophenotypes and can even incorporate information from the environment and the natural history of disease. The improvement in genomic and epigenomic technologies has revolutionized the current comprehension of biological processes underlying health and disease. However, now is the time to adopt these new technologies to improve human health, thus converting this information into reliable biomarkers. This endeavor should be focused on improving methodologies to analyze gene methylation, histone modifications and microRNAs. Ideally, epigenetic biomarkers should be robust, routine, accurate and inexpensive in order to provide better information for patient diagnosis, prognosis, stratification and treatment monitoring. Here we describe some challenges and provide strategies to improve the adoption of epigenetic biomarkers into clinical routine. Furthermore, we summarize the recommended properties for clinical epigenetic biomarkers.

  11. Biomarkers in spinal cord compression Ethics and perspectives

    Directory of Open Access Journals (Sweden)

    Iencean A.St.

    2016-09-01

    Full Text Available The phosphorylated form of the high-molecular-weight neurofilament subunit NF-H (pNF-H in serum or in cerebro-spinal fluid (CSF is a specific lesional biomarker for spinal cord injury. The lesional biomarkers and the reaction biomarkers are both presented after several hours post-injury. The specific predictive patterns of lesional biomarkers could be used to aid clinicians with making a diagnosis and establishing a prognosis, and evaluating therapeutic interventions. Diagnosis, prognosis, and treatment guidance based on biomarker used as a predictive indicator can determine ethical difficulties by differentiated therapies in patients with spinal cord compression. At this point based on studies until today we cannot take a decision based on biomarker limiting the treatment of neurological recovery in patients with complete spinal cord injury because we do not know the complexity of the biological response to spinal cord compression.

  12. Biomarkers of Aging: From Function to Molecular Biology

    Directory of Open Access Journals (Sweden)

    Karl-Heinz Wagner

    2016-06-01

    Full Text Available Aging is a major risk factor for most chronic diseases and functional impairments. Within a homogeneous age sample there is a considerable variation in the extent of disease and functional impairment risk, revealing a need for valid biomarkers to aid in characterizing the complex aging processes. The identification of biomarkers is further complicated by the diversity of biological living situations, lifestyle activities and medical treatments. Thus, there has been no identification of a single biomarker or gold standard tool that can monitor successful or healthy aging. Within this short review the current knowledge of putative biomarkers is presented, focusing on their application to the major physiological mechanisms affected by the aging process including physical capability, nutritional status, body composition, endocrine and immune function. This review emphasizes molecular and DNA-based biomarkers, as well as recent advances in other biomarkers such as microRNAs, bilirubin or advanced glycation end products.

  13. Biomarkers of Aging: From Function to Molecular Biology.

    Science.gov (United States)

    Wagner, Karl-Heinz; Cameron-Smith, David; Wessner, Barbara; Franzke, Bernhard

    2016-06-02

    Aging is a major risk factor for most chronic diseases and functional impairments. Within a homogeneous age sample there is a considerable variation in the extent of disease and functional impairment risk, revealing a need for valid biomarkers to aid in characterizing the complex aging processes. The identification of biomarkers is further complicated by the diversity of biological living situations, lifestyle activities and medical treatments. Thus, there has been no identification of a single biomarker or gold standard tool that can monitor successful or healthy aging. Within this short review the current knowledge of putative biomarkers is presented, focusing on their application to the major physiological mechanisms affected by the aging process including physical capability, nutritional status, body composition, endocrine and immune function. This review emphasizes molecular and DNA-based biomarkers, as well as recent advances in other biomarkers such as microRNAs, bilirubin or advanced glycation end products.

  14. Investigating the clinical potential for 14-3-3 zeta protein to serve as a biomarker for epithelial ovarian cancer

    OpenAIRE

    Hatzipetros, Ioannis; Gocze, Peter; Koszegi, Tamas; Jaray, Akos; Szereday, Laszlo; Polgar, Beata; Farkas, Nelli; Farkas, Balint

    2013-01-01

    Objective Recently, 14-3-3 zeta protein was identified as a potential serum biomarker of epithelial ovarian cancer (EOC). The goal of this study was to investigate the clinical potential of 14-3-3 zeta protein for monitoring EOC progression compared with CA-125 and HE4. Design Prospective follow-up study. Setting University of Pecs Medical Center Department of Obstetrics and Gynecology/Oncology (Pecs, Hungary). Population Thirteen EOC patients with advanced stage (FIGO IIb-IIIc) epithelial ov...

  15. Novel approaches for quantifying protein biomarkers in gliomas

    DEFF Research Database (Denmark)

    Dahlrot, Rikke H; Sørensen, Mia D; Rosager, Ann Mari

    2014-01-01

    The therapeutic paradigm of gliomas is changing from a general approach towards an individualized and targeted approach. Accordingly, the search for prognostic and predictive biomarkers, as well as the demand for quantitative, feasible and robust methods for biomarker analysis increases. We find...... that software classifiers can identify and quantify the expression of a given biomarker within different subcellular compartments and that such classifiers can exclude frequently occurring nontumor cells, thereby avoiding potential bias. The use of a quantitative approach provides a continuous measurement...

  16. A New Serum Biomarker for Lung Cancer - Transthyretin

    OpenAIRE

    Liu, Liyun; Sun, Suozhu; Liu, JiFu; WU, SHANSHAN; Songwei DAI; Wang, Xiaomin; Huang, Lingyun; Xueyuan XIAO; He, Dacheng

    2009-01-01

    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 we...

  17. Prostate cancer biomarkers: Are we hitting the mark?

    Directory of Open Access Journals (Sweden)

    Shannon McGrath

    2016-12-01

    Conclusion: The accurate diagnosis and risk stratification of prostate cancer is critical to ensure appropriate intervention. The development of non-invasive biomarkers can add to the information provided by current screening practices and allows for individualised risk stratification of patients. The use of these biomarkers appears to increase the sensitivity and specificity of diagnosis of prostate cancer. Further studies are necessary to define the appropriate use and time points of each biomarker and their effect on the management algorithm of prostate cancer.

  18. A Synopsis of Serum Biomarkers in Cutaneous Melanoma Patients

    OpenAIRE

    Pierre Vereecken; Frank Cornelis; Nicolas van Baren; Valérie Vandersleyen; Jean-François Baurain

    2012-01-01

    Many serum biomarkers have been evaluated in melanoma but their clinical significance remains a matter of debate. In this paper, a review of the serum biomarkers for melanoma will be detailed and will be discussed from the point of view of their practical usefulness. The expression of biomarkers can be detected intracellularly or on the cell membrane of melanoma cells or noncancer cells in association with the melanoma. Some of these molecules can then be released extracellularly and be found...

  19. Cerebrospinal fluid Alzheimer's biomarker profiles in CNS infections

    OpenAIRE

    Krut, JJ; Zetterberg, H.; Blennow, K.; Cinque, P.; Hagberg, L; Price, Rw; Studahl, M; Gisslén, M.

    2013-01-01

    The cerebrospinal fluid (CSF) biomarker profile in Alzheimer's disease (AD) is characterized by decreased beta amyloid (Aβ 1-42 ), increased total and hyperphosphorylated tau (t-tau and p-tau, respectively), which is a useful diagnostic tool and gives insight in the pathogenesis of AD. It is of importance to study how these biomarkers react in other CNS diseases; therefore, we decided to analyse amyloid and tau biomarkers in different CNS infections. We also included analysis of soluble amylo...

  20. 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.

  1. Biomarkers of Resilience in Stress Reduction for Caregivers of Alzheimer's Patients.

    Science.gov (United States)

    Ho, Lap; Bloom, Patricia A; Vega, Joan G; Yemul, Shrishailam; Zhao, Wei; Ward, Libby; Savage, Evan; Rooney, Robert; Patel, Divyen H; Pasinetti, Giulio Maria

    2016-06-01

    Caregiving for a dementia patient is associated with increased risk of psychological and physical health problems. We investigated whether a mindfulness-based stress reduction (MBSR) training course for caregivers that closely models the MBSR curriculum originally established by the Center of Mindfulness at the University of Massachusetts may improve the psychological resilience of non-professional caregivers of Alzheimer's disease patients. Twenty adult non-professional caregivers of dementia patients participated in an 8-week MBSR training course. Caregiver stress, depression, burden, grief, and gene expression profiles of blood mononuclear cells were assessed at baseline and following MBSR. MBSR training significantly improved the psychological resilience of some of the caregivers. We identified predictive biomarkers whose expression is associated with the likelihood of caregivers to benefit from MBSR, and biomarkers whose expression is associated with MBSR psychological benefits. Our biomarker studies provide insight into the mechanisms of health benefits of MBSR and a basis for developing a personalized medicine approach for applying MBSR for promoting psychological and cognitive resilience in caregivers of dementia patients.

  2. Urine biomarkers of acute kidney injury in noncritically ill, hospitalized children treated with chemotherapy.

    Science.gov (United States)

    Sterling, Maya; Al-Ismaili, Zubaida; McMahon, Kelly R; Piccioni, Melissa; Pizzi, Michael; Mottes, Theresa; Lands, Larry C; Abish, Sharon; Fleming, Adam J; Bennett, Michael R; Palijan, Ana; Devarajan, Prasad; Goldstein, Stuart L; O'Brien, Maureen M; Zappitelli, Michael

    2017-10-01

    Cisplatin (Cis), carboplatin (Carb), and ifosfamide (Ifos) are common nephrotoxic chemotherapies. Biomarkers of tubular injury may allow for early acute kidney injury (AKI) diagnosis. We performed a two-center (Canada, United States) pilot study to prospectively measure serum creatinine (SCr), urine neutrophil gelatinase-associated lipocalin (NGAL), and interleukin-18 (IL-18) in children receiving Cis/Carb (27 episodes), Ifos (30 episodes), and in 15 hospitalized, nonchemotherapy patients. We defined AKI using the Kidney Disease Improving Global Outcomes (KDIGO) definition. We compared postchemotherapy infusion NGAL and IL-18 concentrations (immediate postdose to 3 days later) to pre-infusion concentrations. We calculated area under the receiver operating characteristic curve (AUC) for postinfusion biomarkers to discriminate for AKI. Prechemotherapy infusion NGAL and IL-18 concentrations were not higher than nonchemotherapy control concentrations. Increasing chemotherapy dose was associated with increasing postinfusion (0-4 hr after infusion) NGAL (P 0.05). NGAL and IL-18 measured immediately after Ifos infusion discriminated for AKI with AUCs is 0.80 (standard error = 0.13) and 0.73 (standard error = 0.16), respectively. NGAL and IL-18 were not diagnostic of Cis-Carb-associated AKI. When AUCs were adjusted for age, all biomarker AUCs (Cis-Carb and Ifos) improved. Urine NGAL and IL-18 show promise as early AKI diagnostic tests in children treated with ifosfamide and may have a potential role in drug toxicity monitoring. © 2017 Wiley Periodicals, Inc.

  3. The economics of cardiac biomarker testing in suspected myocardial infarction.

    Science.gov (United States)

    Goodacre, Steve; Thokala, Praveen

    2015-03-01

    Suspected myocardial infarction (MI) is a common reason for emergency hospital attendance and admission. Cardiac biomarker measurement is an essential element of diagnostic assessment of suspected MI. Although the cost of a routinely available biomarker may be small, the large patient population and consequences in terms of hospital admission and investigation mean that the economic impact of cardiac biomarker testing is substantial. Economic evaluation involves comparing the estimated costs and effectiveness (outcomes) of two or more interventions or care alternatives. This process creates some difficulties with respect to cardiac biomarkers. Estimating the effectiveness of cardiac biomarkers involves identifying how they help to improve health and how we can measure this improvement. Comparison to an appropriate alternative is also problematic. New biomarkers may be promoted on the basis of reducing hospital admission or length of stay, but hospital admission for low risk patients may incur significant costs while providing very little benefit, making it an inappropriate comparator. Finally, economic evaluation may conclude that a more sensitive biomarker strategy is more effective but, by detecting and treating more cases, is also more expensive. In these circumstances it is unclear whether we should use the more effective or the cheaper option. This article provides an introduction to health economics and addresses the specific issues relevant to cardiac biomarkers. It describes the key concepts relevant to economic evaluation of cardiac biomarkers in suspected MI and highlights key areas of uncertainty and controversy. Copyright © 2014 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

  4. Recommendations for Soluble Biomarker Assessments in Osteoarthritis Clinical Trials

    Science.gov (United States)

    Kraus, Virginia Byers; Blanco, Francisco J; Englund, Martin; Henrotin, Yves; Lohmander, L Stefan; Losina, Elena; Önnerfjord, Patrik; Persiani, Stefano

    2015-01-01

    Objective To describe requirements for inclusion of soluble biomarkers in osteoarthritis (OA) clinical trials and progress toward OA-related biomarker qualification. Methods 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. Results This document summarizes current guidance on use of biomarkers in OA clinical trials and their utility at 5 stages, including preclinical development and phase I to phase IV trials. Conclusions 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 of reasons but in particular, to determine whether biomarkers are useful in identifying those individuals most likely to receive clinically important benefits from an intervention; and to determine whether biomarkers are useful for identifying individuals at earlier stages of OA in order to institute treatment at a time more amenable to disease modification. PMID:25952342

  5. [Collaborative projects with academia for regulatory science studies on biomarkers].

    Science.gov (United States)

    Saito, Yoshiro; Nakamura, Ryosuke; Maekawa, Keiko

    2014-01-01

    Biomarkers are useful tools to be utilized as indicators/predictors of disease severity and drug responsiveness/safety, and thus are expected to promote efficient drug development and to accelerate proper use of approved drugs. Many academic achievements have been reported, but only a small number of biomarkers are used in clinical trials and drug treatments. Regulatory sciences on biomarkers for their secure development and proper qualification are necessary to facilitate their practical application. We started to collaborate with Tohoku University and Nagoya City University for sample quality, biomarker identification, evaluation of their usage, and making guidances. In this short review, scheme and progress of these projects are introduced.

  6. Canine babesiosis: a perspective on clinical complications, biomarkers, and treatment

    Directory of Open Access Journals (Sweden)

    Köster LS

    2015-04-01

    Full Text Available Liza S Köster,1 Remo G Lobetti,2 Patrick Kelly1 1Department of Clinical Sciences, One Health Center for Zoonoses and Tropical Veterinary Medicine, Ross University School of Veterinary Medicine, St Kitts, West Indies; 2Bryanston Veterinary Hospital, Bryanston, South Africa Abstract: Canine babesiosis is a common tick transmitted disease of dogs worldwide. A number of Babesia sp. can infect dogs and the spectrum is increasing as molecular methods are developed to differentiate organisms. Clinical signs are generally attributed to hemolysis caused by the organisms in the erythrocytes but in some animals with some Babesia spp. there can be an immune mediated component to the anemia and/or a severe inflammatory reaction associated. This complicated form of canine babesiosis is associated with high morbidity and mortality. A variety of clinical markers has been investigated to enable clinicians to provide more accurate prognoses and adapt their treatments which vary according to the infecting species. In this review, we discuss the taxonomy, clinical signs, diagnostic imaging, clinical biomarkers, treatment, and prophylaxis of one of the most common and important diseases of dogs worldwide. Keywords: babesiosis, vector-borne disease, dog

  7. Elucidating novel serum biomarkers associated with pulmonary tuberculosis treatment.

    Directory of Open Access Journals (Sweden)

    Mary A De Groote

    Full Text Available In an unbiased approach to biomarker discovery, we applied a highly multiplexed proteomic technology (SOMAscan, SomaLogic, Inc, Boulder, CO to understand changes in proteins from paired serum samples at enrollment and after 8 weeks of TB treatment from 39 patients with pulmonary TB from Kampala, Uganda enrolled in the Center for Disease Control and Prevention's Tuberculosis Trials Consortium (TBTC Study 29. This work represents the first large-scale proteomic analysis employing modified DNA aptamers in a study of active tuberculosis (TB. We identified multiple proteins that exhibit significant expression differences during the intensive phase of TB therapy. There was enrichment for proteins in conserved networks of biological processes and function including antimicrobial defense, tissue healing and remodeling, acute phase response, pattern recognition, protease/anti-proteases, complement and coagulation cascade, apoptosis, immunity and inflammation pathways. Members of cytokine pathways such as interferon-gamma, while present, were not as highly represented as might have been predicted. The top proteins that changed between baseline and 8 weeks of therapy were TSP4, TIMP-2, SEPR, MRC-2, Antithrombin III, SAA, CRP, NPS-PLA2, LEAP-1, and LBP. The novel proteins elucidated in this work may provide new insights for understanding TB disease, its treatment and subsequent healing processes that occur in response to effective therapy.

  8. Serum Cartilage Biomarkers and Shoulder Instability.

    Science.gov (United States)

    Owens, Brett D; Cameron, Kenneth L; Bokshan, Steven L; Clifton, Kari B; Svoboda, Steven J; Wolf, Jennifer Moriatis

    2017-01-01

    Differences in cartilage biomarkers have been noted in patients with anterior cruciate ligament tears, but little is known about any similar relationship with shoulder instability. This study evaluated the relationship between serum cartilage biomarkers and shoulder instability. The authors present a prospective cohort study of young athletes followed from 2006 to 2010. A nested case-control analysis was conducted within this cohort to evaluate the association between preinjury collagen type II cleavage (a marker for type II collagen cleavage) and procollagen II carboxy propeptide (a marker of cartilage synthesis) and the subsequent likelihood of shoulder instability during the 4-year follow-up period. Preinjury collagen type II cleavage and procollagen II carboxy propeptide levels in 51 subjects who had shoulder instability were compared with levels in 210 subjects without documented anterior cruciate ligament or shoulder instability (control group) with commercially available enzyme-linked immunosorbent assay kits. Mean preinjury collagen type II cleavage levels in patients who subsequently had shoulder instability were significantly lower than those in the control group (73.91 vs 79.24 pg/mL, P=.03). No significant difference was found in preinjury procollagen II carboxy propeptide levels compared with the control group (359.94 vs 396.37, P=.24). This study is the first to examine the relationship between baseline collagen biomarkers and subsequent shoulder instability. The finding of lower baseline collagen type II cleavage levels in patients with subsequent shoulder instability may represent a genetic predisposition or a compensatory mechanism by which cartilage degradation is decreased in those who are more likely to have instability. [Orthopedics. 2017; 40(1):34-36.]. Copyright 2016, SLACK Incorporated.

  9. Clinical Application of Targeted Deep Sequencing in Solid-Cancer Patients and Utility for Biomarker-Selected Clinical Trials.

    Science.gov (United States)

    Kim, Seung Tae; Kim, Kyoung-Mee; Kim, Nayoung K D; Park, Joon Oh; Ahn, Soomin; Yun, Jae-Won; Kim, Kyu-Tae; Park, Se Hoon; Park, Peter J; Kim, Hee Cheol; Sohn, Tae Sung; Choi, Dong Il; Cho, Jong Ho; Heo, Jin Seok; Kwon, Wooil; Lee, Hyuk; Min, Byung-Hoon; Hong, Sung No; Park, Young Suk; Lim, Ho Yeong; Kang, Won Ki; Park, Woong-Yang; Lee, Jeeyun

    2017-10-01

    Molecular profiling of actionable mutations in refractory cancer patients has the potential to enable "precision medicine," wherein individualized therapies are guided based on genomic profiling. The molecular-screening program was intended to route participants to different candidate drugs in trials based on clinical-sequencing reports. In this screening program, we used a custom target-enrichment panel consisting of cancer-related genes to interrogate single-nucleotide variants, insertions and deletions, copy number variants, and a subset of gene fusions. From August 2014 through April 2015, 654 patients consented to participate in the program at Samsung Medical Center. Of these patients, 588 passed the quality control process for the 381-gene cancer-panel test, and 418 patients were included in the final analysis as being eligible for any anticancer treatment (127 gastric cancer, 122 colorectal cancer, 62 pancreatic/biliary tract cancer, 67 sarcoma/other cancer, and 40 genitourinary cancer patients). Of the 418 patients, 55 (12%) harbored a biomarker that guided them to a biomarker-selected clinical trial, and 184 (44%) patients harbored at least one genomic alteration that was potentially targetable. This study demonstrated that the panel-based sequencing program resulted in an increased rate of trial enrollment of metastatic cancer patients into biomarker-selected clinical trials. Given the expanding list of biomarker-selected trials, the guidance percentage to matched trials is anticipated to increase. This study demonstrated that the panel-based sequencing program resulted in an increased rate of trial enrollment of metastatic cancer patients into biomarker-selected clinical trials. Given the expanding list of biomarker-selected trials, the guidance percentage to matched trials is anticipated to increase. © AlphaMed Press 2017.

  10. Urinary proteomic biomarkers for diagnosis and risk stratification of autosomal dominant polycystic kidney disease: a multicentric study.

    Directory of Open Access Journals (Sweden)

    Andreas D Kistler

    Full Text Available Treatment options for autosomal dominant polycystic kidney disease (ADPKD will likely become available in the near future, hence reliable diagnostic and prognostic biomarkers for the disease are strongly needed. Here, we aimed to define urinary proteomic patterns in ADPKD patients, which aid diagnosis and risk stratification. By capillary electrophoresis online coupled to mass spectrometry (CE-MS, we compared the urinary peptidome of 41 ADPKD patients to 189 healthy controls and identified 657 peptides with significantly altered excretion, of which 209 could be sequenced using tandem mass spectrometry. A support-vector-machine based diagnostic biomarker model based on the 142 most consistent peptide markers achieved a diagnostic sensitivity of 84.5% and specificity of 94.2% in an independent validation cohort, consisting of 251 ADPKD patients from five different centers and 86 healthy controls. The proteomic alterations in ADPKD included, but were not limited to markers previously associated with acute kidney injury (AKI. The diagnostic biomarker model was highly specific for ADPKD when tested in a cohort consisting of 481 patients with a variety of renal and extrarenal diseases, including AKI. Similar to ultrasound, sensitivity and specificity of the diagnostic score depended on patient age and genotype. We were furthermore able to identify biomarkers for disease severity and progression. A proteomic severity score was developed to predict height adjusted total kidney volume (htTKV based on proteomic analysis of 134 ADPKD patients and showed a correlation of r = 0.415 (p<0.0001 with htTKV in an independent validation cohort consisting of 158 ADPKD patients. In conclusion, the performance of peptidomic biomarker scores is superior to any other biochemical markers of ADPKD and the proteomic biomarker patterns are a promising tool for prognostic evaluation of ADPKD.

  11. Characterization of the serological biomarkers associated with Sjögren’s syndrome in patients with recalcitrant dry eye disease

    Directory of Open Access Journals (Sweden)

    Matossian C

    2016-07-01

    Full Text Available Cynthia Matossian,1,2 Joan Micucci1 1Matossian Eye Associates, Doylestown, PA, USA; 2Department of Ophthalmology, Temple University School of Medicine, Philadelphia, PA, USA Purpose: The purpose was to characterize the biomarkers associated with Sjögren’s syndrome (SS identified in the serological samples of patients with recalcitrant dry eye disease; additionally, the modalities utilized in the treatment of dry eye disease were evaluated for subsets of patients with and without SS. Patients and methods: Data for this retrospective, single-center, pilot study were based on a chart review of 48 sequential patients with recalcitrant dry eye who were evaluated for SS via serological analysis. Data presented include the presence of the autoantibodies identified through the serological biomarker analysis and identification of the concurrent dry eye treatment modalities. Results: Eleven out of 48 patients (23% tested positive for biomarkers associated with SS. Autoantibodies for salivary protein-1, parotid secretory protein 1, and carbonic anhydrase VI, markers associated with the early development of SS, were detected in 91% (ten out of eleven of the patients who tested positive for SS, whereas 27% (three out of eleven of patients tested positive for the traditional SS markers, SS-A and/or SS-B. Common treatment modalities utilized in SS patients included omega-3 supplements (82%, topical cyclosporine (74%, and artificial tear solutions (64%, as compared to omega-3 supplements (80%, hot-mask therapy (77%, and artificial tear solutions (77%, in SS-negative patients. Conclusion: Evaluation for salivary protein-1, parotid secretory protein 1, and carbonic anhydrase VI biomarkers allows for identification of a subset of patients with biomarkers associated with SS that may not be identified through the traditional assessments (SS-A/SS-B. Earlier recognition of SS biomarkers allows for a confirmatory diagnosis and appropriate management of this

  12. Baseline immune biomarkers as predictors of MBSR(BC) treatment success in off-treatment breast cancer patients.

    Science.gov (United States)

    Reich, Richard R; Lengacher, Cecile A; Kip, Kevin E; Shivers, Steven C; Schell, Michael J; Shelton, Melissa M; Widen, Raymond H; Newton, Catherine; Barta, Michelle K; Paterson, Carly L; Farias, Jerrica R; Cox, Charles E; Klein, Thomas W

    2014-10-01

    Researchers focused on patient-centered medicine are increasingly trying to identify baseline factors that predict treatment success. Because the quantity and function of lymphocyte subsets change during stress, we hypothesized that these subsets would serve as stress markers and therefore predict which breast cancer patients would benefit most from mindfulness-based stress reduction (MBSR)-facilitated stress relief. The purpose of this study was to assess whether baseline biomarker levels predicted symptom improvement following an MBSR intervention for breast cancer survivors (MBSR[BC]). This randomized controlled trial involved 41 patients assigned to either an MBSR(BC) intervention group or a no-treatment control group. Biomarkers were assessed at baseline, and symptom change was assessed 6 weeks later. Biomarkers included common lymphocyte subsets in the peripheral blood as well as the ability of T cells to become activated and secrete cytokines in response to stimulation with mitogens. Spearman correlations were used to identify univariate relationships between baseline biomarkers and 6-week improvement of symptoms. Next, backward elimination regression models were used to identify the strongest predictors from the univariate analyses. Multiple baseline biomarkers were significantly positively related to 6-week symptom improvement. The regression models identified B-lymphocytes and interferon-γ as the strongest predictors of gastrointestinal improvement (p < .01), +CD4+CD8 as the strongest predictor of cognitive/psychological (CP) improvement (p = .02), and lymphocytes and interleukin (IL)-4 as the strongest predictors of fatigue improvement (p < .01). These results provide preliminary evidence of the potential to use baseline biomarkers as predictors to identify the patients likely to benefit from this intervention. © The Author(s) 2014.

  13. Airway biomarkers of the oxidant burden in asthma and chronic obstructive pulmonary disease: Current and future perspectives

    Directory of Open Access Journals (Sweden)

    Noora Louhelainen

    2008-08-01

    Full Text Available Noora Louhelainen1, Marjukka Myllärniemi1, Irfan Rahman2, Vuokko L Kinnula11Department of Medicine, Division of Pulmonary Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; 2Department of Environmental Medicine and the Lung Biology and Disease Program, University of Rochester Medical Center, Rochester, New York, USAAbstract: The pathogenesis of asthma and chronic obstructive pulmonary disease (COPD has been claimed to be attributable to increased systemic and local oxidative stress. Detection of the oxidant burden and evaluation of their progression and phenotypes by oxidant biomarkers have proved challenging and difficult. A large number of asthmatics are cigarette smokers and smoke itself contains oxidants complicating further the use of oxidant biomarkers. One of the most widely used oxidant markers in asthma is exhaled nitric oxide (NO, which plays an important role in the pathogenesis of asthma and disease monitoring. Another oxidant marker that has been widely investigated in COPD is 8-isoprostane, but it is probably not capable of differentiating asthma from COPD, or even sensitive in the early assessment of these diseases. None of the current biomarkers have been shown to be better than exhaled NO in asthma. There is a need to identify new biomarkers for obstructive airway diseases, especially their differential diagnosis. A comprehensive evaluation of oxidant markers and their combinations will be presented in this review. In brief, it seems that additional analyses utilizing powerful tools such as genomics, metabolomics, lipidomics, and proteomics will be required to improve the specificity and sensitivity of the next generation of biomarkers.Keywords: sputum, condensate, smoking, nitric oxide, 8-isoprostane, biomarker

  14. Biomarkers for Microglial Activation in Alzheimer's Disease

    Directory of Open Access Journals (Sweden)

    Ronald Lautner

    2011-01-01

    Full Text Available Intensive research over the last decades has provided increasing evidence for neuroinflammation as an integral part in the pathogenesis of neurodegenerative diseases such as Alzheimer's disease (AD. Inflammatory responses in the central nervous system (CNS are initiated by activated microglia, representing the first line of the innate immune defence of the brain. Therefore, biochemical markers of microglial activation may help us understand the underlying mechanisms of neuroinflammation in AD as well as the double-sided qualities of microglia, namely, neuroprotection and neurotoxicity. In this paper we summarize candidate biomarkers of microglial activation in AD along with a survey of recent neuroimaging techniques.

  15. Cardiac biomarkers in neonatal hypoxic ischaemia.

    LENUS (Irish Health Repository)

    Sweetman, D

    2012-04-01

    Following a perinatal hypoxic-ischaemic insult, term infants commonly develop cardiovascular dysfunction. Troponin-T, troponin-I and brain natriuretic peptide are sensitive indicators of myocardial compromise. The long-term effects of cardiovascular dysfunction on neurodevelopmental outcome following perinatal hypoxic ischaemia remain controversial. Follow-up studies are warranted to ensure optimal cardiac function in adulthood. CONCLUSION: Cardiac biomarkers may improve the diagnosis of myocardial injury, help guide management, estimate mortality risk and may also aid in longterm neurodevelopmental outcome prediction following neonatal hypoxic-ischaemia.

  16. Flavonoids as fruit and vegetable intake biomarkers

    DEFF Research Database (Denmark)

    Krogholm, Kirstine Suszkiewicz

    h urinary recovery of flavonoids and the selfreported intake of fruit. One of the aims of Paper IV was to use the method of triads (Kaaks 1997, Ocké & Kaaks 1997) to validate the intake of fruits, vegetables and beverages rich in flavonoids in a population-based cohort in Denmark (referred...... to as the `Inter99’ cohort). The method of triads requires three different and independent measures of the variable of interest, and therefore, beside the FFQ, also the plasma concentration of carotenoids was measured in addition to the flavonoid biomarker. The second aim of Paper IV was to investigate whether...

  17. Biomarkers in chronic obstructive pulmonary disease

    DEFF Research Database (Denmark)

    Sin, Don D; Vestbo, Jørgen

    2009-01-01

    Currently, with exception of lung function tests, there are no well validated biomarkers or surrogate endpoints that can be used to establish efficacy of novel drugs for chronic obstructive pulmonary disease (COPD). However, the lung function test is not an ideal surrogate for short-term drug...... trials because it (1) does not provide information regarding disease activity or the underlying pathologic process, (2) cannot separate the various phenotypes of COPD, (3) is not specific for COPD, and (4) is relatively unresponsive to known therapies that prolong survival. Accordingly, there are large...

  18. Biomarkers and physiopathology in the cardiorenal syndrome.

    Science.gov (United States)

    Bouquegneau, Antoine; Krzesinski, Jean-Marie; Delanaye, Pierre; Cavalier, Etienne

    2015-03-30

    Acute cardiorenal syndrome (CRS) corresponds to an association of acute heart failure and a worsening of renal function. The detection of acute kidney injury (AKI) unfortunately occurs at a late stage of CRS, leading to an increased mortality of the patients. In this review, we described the pathophysiology of CRS and discussed the potential interest of biochemical biomarkers (namely creatinine, cystatin C, NGAL, KIM-1, fatty acid binding protein, Nacetyl-β-D-glucosaminidase and IL-18) that could potentially help to detect AKI earlier and thus reduce the morbi-mortality of the patients suffering from CRS. Copyright © 2014 Elsevier B.V. All rights reserved.

  19. Biomarkers of necrotising soft tissue infections

    DEFF Research Database (Denmark)

    Hansen, Marco Bo; Simonsen, Ulf; Garred, Peter

    2015-01-01

    INTRODUCTION: The mortality and amputation rates are still high in patients with necrotising soft tissue infections (NSTIs). It would be ideal to have a set of biomarkers that enables the clinician to identify high-risk patients with NSTI on admission. The objectives of this study are to evaluate...... Scientific Ethical Committee of Copenhagen (H-2-2014-071) and the Danish Data Protection Agency (J. no. 30-0900 and J. no. 30-1282). Results will be presented at national and international conferences and published in peer-reviewed scientific journals. TRIAL REGISTRATION: NCT02180906....

  20. Relativistic Guiding Center Equations

    Energy Technology Data Exchange (ETDEWEB)

    White, R. B. [PPPL; Gobbin, M. [Euratom-ENEA Association

    2014-10-01

    In toroidal fusion devices it is relatively easy that electrons achieve relativistic velocities, so to simulate runaway electrons and other high energy phenomena a nonrelativistic guiding center formalism is not sufficient. Relativistic guiding center equations including flute mode time dependent field perturbations are derived. The same variables as used in a previous nonrelativistic guiding center code are adopted, so that a straightforward modifications of those equations can produce a relativistic version.

  1. Bayesian additive decision trees of biomarker by treatment interactions for predictive biomarker detection and subgroup identification.

    Science.gov (United States)

    Zhao, Yang; Zheng, Wei; Zhuo, Daisy Y; Lu, Yuefeng; Ma, Xiwen; Liu, Hengchang; Zeng, Zhen; Laird, Glen

    2017-10-11

    Personalized medicine, or tailored therapy, has been an active and important topic in recent medical research. Many methods have been proposed in the literature for predictive biomarker detection and subgroup identification. In this article, we propose a novel decision tree-based approach applicable in randomized clinical trials. We model the prognostic effects of the biomarkers using additive regression trees and the biomarker-by-treatment effect using a single regression tree. Bayesian approach is utilized to periodically revise the split variables and the split rules of the decision trees, which provides a better overall fitting. Gibbs sampler is implemented in the MCMC procedure, which updates the prognostic trees and the interaction tree separately. We use the posterior distribution of the interaction tree to construct the predictive scores of the biomarkers and to identify the subgroup where the treatment is superior to the control. Numerical simulations show that our proposed method performs well under various settings comparing to existing methods. We also demonstrate an application of our method in a real clinical trial.

  2. 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

  3. Test Control Center (TCC)

    Data.gov (United States)

    Federal Laboratory Consortium — The Test Control Center (TCC) provides a consolidated facility for planning, coordinating, controlling, monitoring, and analyzing distributed test events. ,The TCC...

  4. Electron Microscopy Center (EMC)

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    Federal Laboratory Consortium — The Electron Microscopy Center (EMC) at Argonne National Laboratory develops and maintains unique capabilities for electron beam characterization and applies those...

  5. Center for Deployment Psychology

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    Federal Laboratory Consortium — The Center for Deployment Psychology was developed to promote the education of psychologists and other behavioral health specialists about issues pertaining to the...

  6. Great Lakes Science Center

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    Federal Laboratory Consortium — Since 1927, Great Lakes Science Center (GLSC) research has provided critical information for the sound management of Great Lakes fish populations and other important...

  7. Small Business Development Center

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    Small Business Administration — Small Business Development Centers (SBDCs) provide assistance to small businesses and aspiring entrepreneurs throughout the United States and its territories. SBDCs...

  8. Environmental Modeling Center

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    Federal Laboratory Consortium — The Environmental Modeling Center provides the computational tools to perform geostatistical analysis, to model ground water and atmospheric releases for comparison...

  9. Chemical Security Analysis Center

    Data.gov (United States)

    Federal Laboratory Consortium — In 2006, by Presidential Directive, DHS established the Chemical Security Analysis Center (CSAC) to identify and assess chemical threats and vulnerabilities in the...

  10. Audio Visual Center

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    Federal Laboratory Consortium — The Audiovisual Services Center provides still photographic documentation with laboratory support, video documentation, video editing, video duplication, photo/video...

  11. San Antonio Center of Biomarkers of Risk for Prostate Cancer (SABOR) — EDRN Public Portal

    Science.gov (United States)

    To determine if there are ways to predict which men will get prostate cancer, if there are ways to predict how a prostate cancer will develop (for example, slow or rapid growth) and why there are differences in prostate cancer among men from different ethnic backgrounds.

  12. Center for the Evaluation of Biomarkers for the Early Detection of Breast Cancer

    Science.gov (United States)

    2009-10-01

    template in a 15 µl PCR. Copy DNA was amplified using the SYBR green kit ( Invitro - gen) on a 7900HT Fast Real-Time PCR System (Applied Biosystems...www.stratagene.com). On-column Dna- seI digestion was performed to remove genomic DNA. First strand cDNA was synthesized with random hexamer primers and

  13. Prediction of graft-versus-host disease: a biomarker panel based on lymphocytes and cytokines.

    Science.gov (United States)

    Budde, Holger; Papert, Susanne; Maas, Jens-Holger; Reichardt, Holger M; Wulf, Gerald; Hasenkamp, Justin; Riggert, Joachim; Legler, Tobias J

    2017-07-01

    Graft-versus-host disease (GvHD) still belongs to the major challenges after allogeneic hematopoietic stem cell transplantation (HSCT). Immune-suppressive therapy against GvHD is a double-edged sword due to risk of infections and relapse. The ability to adapt prophylactic treatment according to the probability of severe GvHD would be an essential advantage for the patients. We analyzed different biomarkers for their potential to predict the development of GvHD in 28 patients who underwent allogeneic HSCT. Blood was taken once directly after hematopoietic engraftment. In this study, patients were monitored for 12 months after HSCT for the occurrence of acute GvHD or acute/chronic GvHD overlap syndrome. Soluble IL-2 receptor and CD4/CD8 T cell ratio were independently associated with the occurrence of GvHD in the observation period. However, the largest area under the receiver operating characteristic curve with 0.90 was observed when a 5-parameter biomarker score based on CD4+ T cells, CD8+ T cells, CD19- CD21+ precursor B cells, CD4/CD8 T cell ratio, and soluble IL-2 receptor was used to predict GvHD. In addition, CD8+ T cell levels above 2.3% of all mononuclear cells after engraftment may predict relapse-free survival at least for 12 months. In summary, we found a new biomarker panel for prediction of GvHD which is featured by established laboratory assays and high statistical significance. In order to introduce the biomarker panel into routine clinical protocols, we suggest performing a larger multi-center study.

  14. Biomarker Profiles in Women with PCOS and PCOS Offspring; A Pilot Study.

    Science.gov (United States)

    Daan, Nadine M P; Koster, Maria P H; de Wilde, Marlieke A; Dalmeijer, Gerdien W; Evelein, Annemieke M V; Fauser, Bart C J M; de Jager, Wilco

    2016-01-01

    To study metabolic/inflammatory biomarker risk profiles in women with PCOS and PCOS offspring. Cross-sectional comparison of serum biomarkers. University Medical Center Utrecht. Hyperandrogenic PCOS women (HA-PCOS, n = 34), normoandrogenic PCOS women (NA-PCOS, n = 34), non-PCOS reference population (n = 32), PCOS offspring (n = 14, age 6-8 years), and a paedriatic reference population (n = 30). Clustering profile of adipocytokines (IL-1b, IL-6, IL-13, IL-17, IL-18, TNF-α, adiponectin, adipsin, leptin, chemerin, resistin, RBP4, DPP-IV/sCD26, CCL2/MCP-1), growth factors (PIGF, VEGF, sVEGF-R1), soluble cell adhesion molecules (sICAM-1/sCD54, sVCAM-1/sCD106), and other inflammatory related proteases (MMP-9, S100A8, Cathepsin S). Differences in median biomarker concentrations between groups, and associations with the free androgen index (FAI; Testosterone/SHBG x100). The cluster analysis identified leptin, RBP-4, DPP-IV and adiponectin as potential discriminative markers for HA-PCOS with a specifically strong correlation in cases with increased BMI. Leptin (R2 = 0.219) and adiponectin (R2 = 0.182) showed the strongest correlation with the FAI. When comparing median protein concentrations adult PCOS women with or without hyperandrogenemia, the most profound differences were observed for leptin (P PCOS offspring, MMP-9 (P = 0.001) and S100A8 (P PCOS and non-PCOS controls, mostly influenced by BMI. Leptin and adiponectin showed the strongest correlation with the FAI in adult women with PCOS. In PCOS offspring other inflammatory biomarkers (MMP-9, S100A8) were increased, suggesting that these children may exhibit increased chronic low-grade inflammation. Additional research is required to confirm results of the current exploratory investigation.

  15. Role of biomarkers in understanding and treating children with asthma: towards personalized care

    Directory of Open Access Journals (Sweden)

    Lang JE

    2013-08-01

    Full Text Available Jason E Lang,1 Kathryn V Blake21Division of Pulmonary and Sleep Medicine, Nemours Children's Hospital, Orlando, FL, USA; 2Center for Pharmacogenomics and Translational Research, Nemours Children's Clinic, Jacksonville, FL, USA Both authors contributed equally to this workAbstract: Asthma is one of the most common chronic diseases affecting children. Despite publicized expert panels on asthma management and the availability of high-potency inhaled corticosteroids, asthma continues to pose an enormous burden on quality of life for children. Research into the genetic and molecular origins of asthma are starting to show how distinct disease entities exist within the syndrome of "asthma". Biomarkers can be used to diagnose underlying molecular mechanisms that can predict the natural course of disease or likely response to drug treatment. The progress of personalized medicine in the care of children with asthma is still in its infancy. We are not yet able to apply stratified asthma treatments based on molecular phenotypes, although that time may be fast approaching. This review discusses some of the recent advances in asthma genetics and the use of current biomarkers that can help guide improved treatment. For example, the fraction of expired nitric oxide and serum Immunoglobulin E (IgE (including allergen-specific IgE, when evaluated in the context of recurrent asthma symptoms, are general predictors of allergic airway inflammation. Biomarker assays for secondhand tobacco smoke exposure and cysteinyl leukotrienes are both promising areas of study that can help personalize management, not just for pharmacologic management, but also education and prevention efforts.Keywords: asthma, biomarkers, children, management

  16. Upper reference limits for biomarkers of exposure to aromatic diisocyanates.

    Science.gov (United States)

    Sennbro, Carl Johan; Littorin, Margareta; Tinnerberg, Håkan; Jönsson, Bo A G

    2005-08-01

    The objectives of this study were to determine the levels of 2,4-toluenediamine, 2,6-toluenediamine, 1,5-naphthtalenediamine and 4,4'-methylenediphenyldianiline in hydrolyzed urine and plasma for occupationally unexposed workers and to calculate upper reference limits (URLs). These analytes are biomarkers of exposure to 2,4-toluene diisocyanate and 2,6-toluene diisocyanate (2,4-TDI and 2,6-TDI), 1,5-naphtalene diisocyanate (NDI) and 4,4'-methylenediphenyl diisocyanate (MDI), respectively. The biomarker levels were determined in urinary and plasma samples obtained from 121 occupationally unexposed workers. Based on these biomarkers levels and the biomarker levels in an occupationally exposed group of workers, URLs were calculated. The method used for these calculations was based on the receiver operator characteristic (ROC) curve method technique, and the URLs were set at the optimum of sum of sensitivity and specificity. The URLs for the different diisocyanates were calculated to be in the range of 0.1-0.5 microg/L. Occupationally unexposed workers had detectable biomarker levels of the diisocyanates investigated. Especially abundant was the biomarkers of MDI which were found in 97% of both urinary and plasma samples. For the other biomarkers, 0-15% of the unexposed workers had detectable levels. The detected levels were mostly close to the limit of detection (LOD), but urinary levels of biomarkers of MDI up to 60 times the LOD were found. The sensitivities and specificities for classification of the workers as occupationally exposed or not, were in the range of 88-100% and 97-100%, respectively. The URLs were calculated that may be applicable when screening for occupational exposure. A worker with a biomarker level above the URL will be classified as occupationally exposed. Biomarkers of aromatic diisocyanates, especially biomarkers of MDI, were present among occupationally unexposed workers, but the source and nature of the exposure is unknown.

  17. Plasma metabolomics reveals biomarkers of the atherosclerosis.

    Science.gov (United States)

    Chen, Xi; Liu, Lian; Palacios, Gustavo; Gao, Jie; Zhang, Ning; Li, Guang; Lu, Juan; Song, Ting; Zhang, Yingzhi; Lv, Haitao

    2010-09-01

    Atherosclerotic cardiovascular disease remains the leading cause of morbidity and mortality in industrialized societies. The lack of metabolite biomarkers has impeded the clinical diagnosis of atherosclerosis so far. In this study, stable atherosclerosis patients (n=16) and age- and sex-matched non-atherosclerosis healthy subjects (n=28) were recruited from the local community (Harbin, P. R. China). The plasma was collected from each study subject and was subjected to metabolomics analysis by GC/MS. Pattern recognition analyses (principal components analysis, orthogonal partial least-squares discriminate analysis, and hierarchical clustering analysis) commonly demonstrated plasma metabolome, which was significantly different from atherosclerotic and non-atherosclerotic subjects. The development of atherosclerosis-induced metabolic perturbations of fatty acids, such as palmitate, stearate, and 1-monolinoleoylglycerol, was confirmed consistent with previous publication, showing that palmitate significantly contributes to atherosclerosis development via targeting apoptosis and inflammation pathways. Altogether, this study demonstrated that the development of atherosclerosis directly perturbed fatty acid metabolism, especially that of palmitate, which was confirmed as a phenotypic biomarker for clinical diagnosis of atherosclerosis.

  18. Protein Biomarkers of Periodontitis in Saliva

    Science.gov (United States)

    Taylor, John J.

    2014-01-01

    Periodontitis is a chronic inflammatory condition of the tissues that surround and support the teeth and is initiated by inappropriate and excessive immune responses to bacteria in subgingival dental plaque leading to loss of the integrity of the periodontium, compromised tooth function, and eventually tooth loss. Periodontitis is an economically important disease as it is time-consuming and expensive to treat. Periodontitis has a worldwide prevalence of 5–15% and the prevalence of severe disease in western populations has increased in recent decades. Furthermore, periodontitis is more common in smokers, in obesity, in people with diabetes, and in heart disease patients although the pathogenic processes underpinning these links are, as yet, poorly understood. Diagnosis and monitoring of periodontitis rely on traditional clinical examinations which are inadequate to predict patient susceptibility, disease activity, and response to treatment. Studies of the immunopathogenesis of periodontitis and analysis of mediators in saliva have allowed the identification of many potentially useful biomarkers. Convenient measurement of these biomarkers using chairside analytical devices could form the basis for diagnostic tests which will aid the clinician and the patient in periodontitis management; this review will summarise this field and will identify the experimental, technical, and clinical issues that remain to be addressed before such tests can be implemented. PMID:24944840

  19. Emerging biomarkers and screening for cognitive frailty.

    Science.gov (United States)

    Ruan, Qingwei; D'Onofrio, Grazia; Sancarlo, Daniele; Greco, Antonio; Lozupone, Madia; Seripa, Davide; Panza, Francesco; Yu, Zhuowei

    2017-12-01

    Physical frailty and cognitive frailty are two important targets of secondary intervention in aging research to narrow the gap between life and health span. The objective of the present narrative review was to examine clinical and epidemiological studies investigating the recently proposed construct of cognitive frailty and its subtypes, with a focus on operational definitions, clinical criteria, and emerging biomarkers potentially useful for the screening of this novel entity. Both physical frailty and frailty indexes with a multidimensional nature were associated with late-life cognitive impairment/decline, incident dementia, Alzheimer's disease (AD), mild cognitive impairment, vascular dementia, non-AD dementias, and AD pathology proposing cognitive frailty as a clinical entity with cognitive impairment related to physical causes with a potential reversibility. The new clinical and research AD criteria established by the National Institute on Aging-Alzheimer's Association and the American Psychiatric Association could improve the differential diagnosis of cognitive impairment within the cognitive frailty construct. The emerging biomarkers of sarcopenia, physical frailty, and cognitive impairment will provide the basis to establish more reliable clinical and research criteria for cognitive frailty, using different operational definitions for frailty and cognitive impairment and useful clinical, biological, and imaging markers for this novel clinical construct.

  20. Immunosensors for Biomarker Detection in Autoimmune Diseases.

    Science.gov (United States)

    Zhang, Xuezhu; Zambrano, Amarayca; Lin, Zuan-Tao; Xing, Yikun; Rippy, Justin; Wu, Tianfu

    2017-04-01

    Autoimmune diseases occur when the immune system generates proinflammatory molecules and autoantibodies that mistakenly attack their own body. Traditional diagnosis of autoimmune disease is primarily based on physician assessment combined with core laboratory tests. However, these tests are not sensitive enough to detect early molecular events, and quite often, it is too late to control these autoimmune diseases and reverse tissue damage when conventional tests show positivity for disease. It is fortunate that during the past decade, research in nanotechnology has provided enormous opportunities for the development of ultrasensitive biosensors in detecting early biomarkers with high sensitivity. Biosensors consist of a biorecognition element and a transducer which are able to facilitate an accurate detection of proinflammatory molecules, autoantibodies and other disease-causing molecules. Apparently, novel biosensors could be superior to traditional metrics in assessing the drug efficacy in clinical trials, especially when specific biomarkers are indicative of the pathogenesis of disease. Furthermore, the portability of a biosensor enables the development of point-of-care devices. In this review, various types of biomolecule sensing systems, including electrochemical, optical and mechanical sensors, and their applications and future potentials in autoimmune disease treatment were discussed.

  1. Sleep electroencephalography as a biomarker in depression

    Directory of Open Access Journals (Sweden)

    Steiger A

    2015-04-01

    Full Text Available Axel Steiger, Marcel Pawlowski, Mayumi Kimura Max Planck Institute of Psychiatry, Munich, Germany Abstract: The sleep electroencephalogram (EEG provides biomarkers of depression, which may help with diagnosis, prediction of therapy response, and prognosis in the treatment of depression. In patients with depression, characteristic sleep EEG changes include impaired sleep continuity, disinhibition of rapid-eye-movement (REM sleep, and impaired non-REM sleep. Most antidepressants suppress REM sleep in depressed patients, healthy volunteers, and in animal models. REM suppression appears to be an important, but not an absolute requirement, for antidepressive effects of a substance. Enhanced REM density, a measure for frequency of REM, characterizes high-risk probands for affective disorders. REM-sleep changes were also found in animal models of depression. Sleep-EEG variables were shown to predict the response to treatment with antidepressants. Furthermore, certain clusters of sleep EEG variables predicted the course of the disorder for several years. Some of the predicted sleep EEG markers appear to be related to hypothalamic–pituitary–adrenal system activity. Keywords: biomarkers, depression, sleep EEG, antidepressants, prediction, animal models

  2. 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.

  3. Biomarkers and Mechanisms of FANCD2 Function

    Directory of Open Access Journals (Sweden)

    Henning Willers

    2008-01-01

    Full Text Available Genetic or epigenetic inactivation of the pathway formed by the Fanconi anemia (FA and BRCA1 proteins occurs in several cancer types, making the affected tumors potentially hypersensitive to DNA cross-linkers and other chemotherapeutic agents. It has been proposed that the inability of FA/BRCA-defective cells to form subnuclear foci of effector proteins, such as FANCD2, can be used as a biomarker to aid individualization of chemotherapy. We show that FANCD2 inactivation not only renders cells sensitive to cross-links, but also oxidative stress, a common effect of cancer therapeutics. Oxidative stress sensitivity does not correlate with FANCD2 or RAD51 foci formation, but associates with increased γH2AX foci levels and apoptosis. Therefore, FANCD2 may protect cells against cross-links and oxidative stress through distinct mechanisms, consistent with the growing notion that the pathway is not linear. Our data emphasize the need for multiple biomarkers, such as γH2AX, FANCD2, and RAD51, to capture all pathway activities.

  4. Toward a neuroimaging treatment selection biomarker for major depressive disorder.

    Science.gov (United States)

    McGrath, Callie L; Kelley, Mary E; Holtzheimer, Paul E; Dunlop, Boadie W; Craighead, W Edward; Franco, Alexandre R; Craddock, R Cameron; Mayberg, Helen S

    2013-08-01

    Currently, fewer than 40% of patients treated for major depressive disorder achieve remission with initial treatment. Identification of a biological marker that might improve these odds could have significant health and economic impact. To identify a candidate neuroimaging "treatment-specific biomarker" that predicts differential outcome to either medication or psychotherapy. Brain glucose metabolism was measured with positron emission tomography prior to treatment randomization to either escitalopram oxalate or cognitive behavior therapy for 12 weeks. Patients who did not remit on completion of their phase 1 treatment were offered enrollment in phase 2 comprising an additional 12 weeks of treatment with combination escitalopram and cognitive behavior therapy. Mood and anxiety disorders research program at an academic medical center. Men and women aged 18 to 60 years with currently untreated major depressive disorder. Randomized assignment to 12 weeks of treatment with either escitalopram oxalate (10-20 mg/d) or 16 sessions of manual-based cognitive behavior therapy. Remission, defined as a 17-item Hamilton depression rating scale score of 7 or less at both weeks 10 and 12, as assessed by raters blinded to treatment. Positive and negative predictors of remission were identified with a 2-way analysis of variance treatment (escitalopram or cognitive behavior therapy) × outcome (remission or nonresponse) interaction. Of 65 protocol completers, 38 patients with clear outcomes and usable positron emission tomography scans were included in the primary analysis: 12 remitters to cognitive behavior therapy, 11 remitters to escitalopram, 9 nonresponders to cognitive behavior therapy, and 6 nonresponders to escitalopram. Six limbic and cortical regions were identified, with the right anterior insula showing the most robust discriminant properties across groups (effect size = 1.43). Insula hypometabolism (relative to whole-brain mean) was associated with remission to

  5. Genome-Wide Association Analysis of Blood Biomarkers in Chronic Obstructive Pulmonary Disease

    DEFF Research Database (Denmark)

    Kim, Deog Kyeom; Cho, Michael H; Hersh, Craig P

    2012-01-01

    Rationale: A genome-wide association study (GWAS) for circulating chronic obstructive pulmonary disease (COPD) biomarkers could identify genetic determinants of biomarker levels and COPD susceptibility. Objectives: To identify genetic variants of circulating protein biomarkers and novel genetic...

  6. Call Center Capacity Planning

    DEFF Research Database (Denmark)

    Nielsen, Thomas Bang

    The main topics of the thesis are theoretical and applied queueing theory within a call center setting. Call centers have in recent years become the main means of communication between customers and companies, and between citizens and public institutions. The extensively computerized infrastructu...

  7. Carbon Monoxide Information Center

    Medline Plus

    Full Text Available ... main content Languages 简体中文 English Bahasa Indonesia 한국어 Español ภาษาไทย Tiếng Việt Text Size: Decrease Font Increase ... Monoxide Information Center Carbon Monoxide Information Center En Español The Invisible Killer Carbon monoxide, also known as ...

  8. Dimensioning large call centers

    NARCIS (Netherlands)

    S.C. Borst (Sem); A. Mandelbaum; M.I. Reiman

    2000-01-01

    textabstractWe develop a framework for asymptotic optimization of a queueing system. The motivation is the staffing problem of call centers with 100's of agents (or more). Such a call center is modeled as an M/M/N queue, where the number of agents~$N$ is large. Within our framework, we determine the

  9. HRSA: Find a Health Center

    Science.gov (United States)

    ... and Seasonal Head Start Center (MSHS) HELP: HRSA Contact Center is available at 877-464-4772, 8 a. ... p.m. ET, weekdays (except federal holidays) HRSA Contact Center Close × Center Name Close Close Panel OPOs Transplant ...

  10. PTSD: National Center for PTSD

    Medline Plus

    Full Text Available ... Locator Hospitals and Clinics Vet Centers Regional Benefits Offices Regional Loan Centers Cemetery Locations Search Enter your ... Clinic Locations Hospitals & Clinics Vet Centers Regional Benefits Offices Regional Loan Centers Cemetery Locations Contact Us FAQs ...

  11. The potential role for use of mitochondrial DNA copy number as predictive biomarker in presbycusis

    Directory of Open Access Journals (Sweden)

    Falah M

    2016-10-01

    Full Text Available Masoumeh Falah,1,2 Massoud Houshmand,3 Mohammad Najafi,2 Maryam Balali,1 Saeid Mahmoudian,1 Alimohamad Asghari,4 Hessamaldin Emamdjomeh,1 Mohammad Farhadi1 1ENT and Head & Neck Research Center and Department, Iran University of Medical Sciences, Tehran, Iran; 2Cellular and Molecular Research Center, Biochemistry Department, Iran University of Medical Sciences, Tehran, Iran; 3Department of Medical Genetics, National Institute for Genetic Engineering and Biotechnology, Tehran, Iran; 4Skull base research center, Iran University of Medical Sciences, Tehran, Iran Objectives: Age-related hearing impairment, or presbycusis, is the most common communication disorder and neurodegenerative disease in the elderly. Its prevalence is expected to increase, due to the trend of growth of the elderly population. The current diagnostic test for detection of presbycusis is implemented after there has been a change in hearing sensitivity. Identification of a pre-diagnostic biomarker would raise the possibility of preserving hearing sensitivity before damage occurs. Mitochondrial dysfunction, including the production of reactive oxygen species and induction of expression of apoptotic genes, participates in the progression of presbycusis. Mitochondrial DNA sequence variation has a critical role in presbycusis. However, the nature of the relationship between mitochondrial DNA copy number, an important biomarker in many other diseases, and presbycusis is undetermined.Methods: Fifty-four subjects with presbycusis and 29 healthy controls were selected after ear, nose, throat examination and pure-tone audiometry. DNA was extracted from peripheral blood samples. The copy number of mitochondrial DNA relative to the nuclear genome was measured by quantitative real-time polymerase chain reaction.Results: Subjects with presbycusis had a lower median mitochondrial DNA copy number than healthy subjects and the difference was statistically significant (P=0.007. Mitochondrial DNA

  12. State of the Art : Newer biomarkers in heart failure

    NARCIS (Netherlands)

    de Boer, Rudolf A.; Daniels, Lori B.; Maisel, Alan S.; Januzzi, James L.

    Since natriuretic peptides were successfully integrated into the clinical practice of heart failure (HF), the possibility of using new biomarkers to advance the management of affected patients has been explored. While a huge number of candidate HF biomarkers have been described recently, very few

  13. Mendelian randomization studies of biomarkers and type 2 diabetes

    NARCIS (Netherlands)

    Abbasi, Ali

    2015-01-01

    Many biomarkers are associated with type 2 diabetes (T2D) risk in epidemiological observations. The aim of this study was to identify and summarize current evidence for causal effects of biomarkers on T2D. A systematic literature search in PubMed and EMBASE (until April 2015) was done to identify

  14. Ambience-associated variation in serum biomarkers of oxidative ...

    African Journals Online (AJOL)

    An investigation was carried out in donkeys to discover serum biomarkers of oxidative stress during moderate and extremely hot conditions. Serum biomarkers included vitamin A, vitamin C, vitamin E, glutathione, catalase, superoxide dismutase, monoamine oxidase, glutathione reductase, xanthine oxidase, oxidase and ...

  15. Biomarkers for predicting complete debulking in ovarian cancer

    DEFF Research Database (Denmark)

    Fagö-Olsen, Carsten Lindberg; Ottesen, Bent; Christensen, Ib Jarle

    2014-01-01

    Aim: We aimed to construct and validate a model based on biomarkers to predict complete primary debulking surgery for ovarian cancer patients.......Aim: We aimed to construct and validate a model based on biomarkers to predict complete primary debulking surgery for ovarian cancer patients....

  16. Urinary Sugars--A Biomarker of Total Sugars Intake.

    Science.gov (United States)

    Tasevska, Natasha

    2015-07-15

    Measurement error in self-reported sugars intake may explain the lack of consistency in the epidemiologic evidence on the association between sugars and disease risk. This review describes the development and applications of a biomarker of sugars intake, informs its future use and recommends directions for future research. Recently, 24 h urinary sucrose and fructose were suggested as a predictive biomarker for total sugars intake, based on findings from three highly controlled feeding studies conducted in the United Kingdom. From this work, a calibration equation for the biomarker that provides an unbiased measure of sugars intake was generated that has since been used in two US-based studies with free-living individuals to assess measurement error in dietary self-reports and to develop regression calibration equations that could be used in future diet-disease analyses. Further applications of the biomarker include its use as a surrogate measure of intake in diet-disease association studies. Although this biomarker has great potential and exhibits favorable characteristics, available data come from a few controlled studies with limited sample sizes conducted in the UK. Larger feeding studies conducted in different populations are needed to further explore biomarker characteristics and stability of its biases, compare its performance, and generate a unique, or population-specific biomarker calibration equations to be applied in future studies. A validated sugars biomarker is critical for informed interpretation of sugars-disease association studies.

  17. Validation of new biomarkers in systemic autoimmune diseases.

    Science.gov (United States)

    Tektonidou, Maria G; Ward, Michael M

    2011-11-01

    Biomarkers have an important influence on the clinical decision-making processes involved in diagnosis, assessment of disease activity, allocation of treatment, and determining prognosis. The clinical usefulness of a biomarker is dependant on demonstration of its validity. Ideally, biomarkers should provide information not available from currently available tests and should be tested as they would be used in clinical practice; however, potential biomarkers could be affected by many different clinical or patient variables-such as disease activity, therapeutic intervention, or the presence of comorbidities--and validation studies might not include all the design features that are required to ensure that the biomarker is a true measure of the clinical process it is intended to reflect. In this Review, we appraise studies that have been conducted to validate six promising new biomarkers for diagnosis, disease activity assessment, or prognosis in patients with systemic autoimmune diseases. We discuss the validity of these six biomarkers with particular reference to the features of the studies that lend weight to or distract from their findings. The intent of this discussion is to draw attention to elements of validation study design that should be considered when evaluating the robustness of a biomarker, which differ according to the marker's intended use.

  18. Marine pollution detection through biomarkers in marine bivalves

    Digital Repository Service at National Institute of Oceanography (India)

    Verlecar, X.N.; Pereira, N.; Desai, S.R.; Jena, K.B.; Snigdha

    and the antioxidant system, as also damage to genetic material. This could be used as potential biomarker to measure pollution stress in animals. While extensive work on biomarker research is being undertaken in several parts of the world, such studies are yet...

  19. Cancer Biomarker Discovery: Lectin-Based Strategies Targeting Glycoproteins

    Directory of Open Access Journals (Sweden)

    David Clark

    2012-01-01

    Full Text Available Biomarker discovery can identify molecular markers in various cancers that can be used for detection, screening, diagnosis, and monitoring of disease progression. Lectin-affinity is a technique that can be used for the enrichment of glycoproteins from a complex sample, facilitating the discovery of novel cancer biomarkers associated with a disease state.

  20. Optimal allocation of resources in a biomarker setting.

    Science.gov (United States)

    Rosner, Bernard; Hendrickson, Sara; Willett, Walter

    2015-01-30

    Nutrient intake is often measured with substantial error both in commonly used surrogate instruments such as a food frequency questionnaire (FFQ) and in gold standard-type instruments such as a diet record (DR). If there is a correlated error between the FFQ and DR, then standard measurement error correction methods based on regression calibration can produce biased estimates of the regression coefficient (λ) of true intake on surrogate intake. However, if a biomarker exists and the error in the biomarker is independent of the error in the FFQ and DR, then the method of triads can be used to obtain unbiased estimates of λ, provided that there are replicate biomarker data on at least a subsample of validation study subjects. Because biomarker measurements are expensive, for a fixed budget, one can use a either design where a large number of subjects have one biomarker measure and only a small subsample is replicated or a design that has a smaller number of subjects and has most or all subjects validated. The purpose of this paper is to optimize the proportion of subjects with replicated biomarker measures, where optimization is with respect to minimizing the variance of ln(λ̂). The methodology is illustrated using vitamin C intake data from the European Prospective Investigation into Cancer and Nutrition study where plasma vitamin C is the biomarker. In this example, the optimal validation study design is to have 21% of subjects with replicated biomarker measures. Copyright © 2014 John Wiley & Sons, Ltd.

  1. Identification of overexpressed cytokines as serum biomarkers of ...

    African Journals Online (AJOL)

    Hepatic inflammation is the stimulator to activate hepatic stellate cells (HSCs) and triggers fibrogenesis. Cytokines are produced during liver inflammation and maybe considered as liver fibrosis biomarker. The aim of this study was to investigate whether cytokines can be used as reliable biomarkers of liver fibrosis using ...

  2. Extracellular Matrix Biomarkers for Diagnosis, Prognosis, Imaging, and Targeting

    Science.gov (United States)

    2015-09-01

    AWARD NUMBER: W81XWH-14-1-0240 TITLE: Extracellular Matrix Biomarkers for Diagnosis, Prognosis, Imaging, and Targeting PRINCIPAL INVESTIGATOR...TITLE AND SUBTITLE Extracellular Matrix Biomarkers for Diagnosis, Prognosis, Imaging, and Targeting 5a. CONTRACT NUMBER 5b. GRANT NUMBER W81XWH-14...the management and treatment of metastatic breast cancer. 15. SUBJECT TERMS Breast Cancer, Metastasis, Extracellular Matrix , Tumor Microenvironment

  3. Surgical resilience: a review of resilience biomarkers and surgical recovery.

    Science.gov (United States)

    Graham, David; Becerril-Martinez, Guillermo

    2014-12-01

    Two distinct and large bodies of literature exist on resilience that are of potential interest for surgical outcomes. First is the literature on the impact of resilience on surgical recovery and wound-healing. Second is the literature on biomarkers for resilience, which largely focuses on neuropeptide Y (NPY), testosterone and dehydroepiandrosterone (DHEA). Despite this activity, there is a dearth of literature linking these two bodies of research by investigating biomarkers for surgical resilience and its impact on surgical recovery. This paper reviews both bodies of literature within the context of surgical recovery. Literature searches within Medline and Embase were conducted for studies and previous reviews of resilience biomarkers and for the impact of individual resilience on surgical recovery. Reference lists of the reviews were searched for additional papers. No systematic review is yet possible due to the novelty of the use of resilience biomarkers within a surgical context. This is the first review to explore a potential link between resilience biomarkers and surgical recovery. There are a number of biomarkers that correlate with individual resilience levels and resilient individuals exhibit better recovery trajectories following surgery, suggesting a novel use of such biomarkers for the identification of "surgical resilience". By identifying surgical resilience, there is potential for utilising these biomarkers as prognostic indicators of likely recovery trajectories from surgery, which in turn complement individualised peri-operative management. Copyright © 2014 Royal College of Surgeons of Edinburgh (Scottish charity number SC005317) and Royal College of Surgeons in Ireland. Published by Elsevier Ltd. All rights reserved.

  4. Biomarkers for Chronic Kidney Disease Associated with High Salt Intake

    Directory of Open Access Journals (Sweden)

    Keiko Hosohata

    2017-09-01

    Full Text Available High salt intake has been related to the development to chronic kidney disease (CKD as well as hypertension. In its early stages, symptoms of CKD are usually not apparent, especially those that are induced in a “silent” manner in normotensive individuals, thereby providing a need for some kind of urinary biomarker to detect injury at an early stage. Because traditional renal biomarkers such as serum creatinine are insensitive, it is difficult to detect kidney injury induced by a high-salt diet, especially in normotensive individuals. Recently, several new biomarkers for damage of renal tubular epithelia such as neutrophil gelatinase-associated lipocalin (NGAL and kidney injury molecule-1 (Kim-1 have been identified. Previously, we found a novel renal biomarker, urinary vanin-1, in several animal models with renal tubular injury. However, there are few studies about early biomarkers of the progression to CKD associated with a high-salt diet. This review presents some new insights about these novel biomarkers for CKD in normotensives and hypertensives under a high salt intake. Interestingly, our recent reports using spontaneously hypertensive rats (SHR and normotensive Wistar Kyoto rats (WKY fed a high-salt diet revealed that urinary vanin-1 and NGAL are earlier biomarkers of renal tubular damage in SHR and WKY, whereas urinary Kim-1 is only useful as a biomarker of salt-induced renal injury in SHR. Clinical studies will be needed to clarify these findings.

  5. Urinary Sugars—A Biomarker of Total Sugars Intake

    Directory of Open Access Journals (Sweden)

    Natasha Tasevska

    2015-07-01

    Full Text Available Measurement error in self-reported sugars intake may explain the lack of consistency in the epidemiologic evidence on the association between sugars and disease risk. This review describes the development and applications of a biomarker of sugars intake, informs its future use and recommends directions for future research. Recently, 24 h urinary sucrose and fructose were suggested as a predictive biomarker for total sugars intake, based on findings from three highly controlled feeding studies conducted in the United Kingdom. From this work, a calibration equation for the biomarker that provides an unbiased measure of sugars intake was generated that has since been used in two US-based studies with free-living individuals to assess measurement error in dietary self-reports and to develop regression calibration equations that could be used in future diet-disease analyses. Further applications of the biomarker include its use as a surrogate measure of intake in diet-disease association studies. Although this biomarker has great potential and exhibits favorable characteristics, available data come from a few controlled studies with limited sample sizes conducted in the UK. Larger feeding studies conducted in different populations are needed to further explore biomarker characteristics and stability of its biases, compare its performance, and generate a unique, or population-specific biomarker calibration equations to be applied in future studies. A validated sugars biomarker is critical for informed interpretation of sugars-disease association studies.

  6. Dynamic contrast-enhanced computed tomography as a potential biomarker in patients with metastatic renal cell carcinoma: preliminary results from the Danish Renal Cancer Group Study-1

    DEFF Research Database (Denmark)

    Mains, Jill Rachel; Donskov, Frede; Pedersen, Erik Morre

    2014-01-01

    OBJECTIVES: The aim of this study was to explore the impact of dynamic contrast-enhanced (DCE) computer tomography (CT) as a biomarker in metastatic renal cell carcinoma (mRCC). MATERIALS AND METHODS: Twelve patients with favorable or intermediate Memorial Sloan Kettering Cancer Center risk group...... not reached, P = 0.031). CONCLUSIONS: Dynamic contrast-enhanced CT is a potential biomarker in patients with mRCC. High baseline BF and reductions in BF and BV during early treatment are associated with improved outcome. Large-scale studies are required....

  7. Biomarker-based strategy for early discontinuation of empirical antifungal treatment in critically ill patients: a randomized controlled trial.

    Science.gov (United States)

    Rouzé, Anahita; Loridant, Séverine; Poissy, Julien; Dervaux, Benoit; Sendid, Boualem; Cornu, Marjorie; Nseir, Saad

    2017-11-01

    The aim of this study was to determine the impact of a biomarker-based strategy on early discontinuation of empirical antifungal treatment. Prospective randomized controlled single-center unblinded study, performed in a mixed ICU. A total of 110 patients were randomly assigned to a strategy in which empirical antifungal treatment duration was determined by (1,3)-β-D-glucan, mannan, and anti-mannan serum assays, performed on day 0 and day 4; or to a routine care strategy, based on international guidelines, which recommend 14 days of treatment. In the biomarker group, early stop recommendation was determined using an algorithm based on the results of biomarkers. The primary outcome was the percentage of survivors discontinuing empirical antifungal treatment early, defined as a discontinuation strictly before day 7. A total of 109 patients were analyzed (one patient withdraw consent). Empirical antifungal treatment was discontinued early in 29 out of 54 patients in the biomarker strategy group, compared with one patient out of 55 in the routine strategy group [54% vs 2%, p empirical antifungal treatment among critically ill patients with suspected invasive Candida infection. These results confirm previous findings suggesting that early discontinuation of empirical antifungal treatment had no negative impact on outcome. However, further studies are needed to confirm the safety of this strategy. This trial was registered at ClinicalTrials.gov, NCT02154178.

  8. Energy efficient data centers

    Energy Technology Data Exchange (ETDEWEB)

    Tschudi, William; Xu, Tengfang; Sartor, Dale; Koomey, Jon; Nordman, Bruce; Sezgen, Osman

    2004-03-30

    Data Center facilities, prevalent in many industries and institutions are essential to California's economy. Energy intensive data centers are crucial to California's industries, and many other institutions (such as universities) in the state, and they play an important role in the constantly evolving communications industry. To better understand the impact of the energy requirements and energy efficiency improvement potential in these facilities, the California Energy Commission's PIER Industrial Program initiated this project with two primary focus areas: First, to characterize current data center electricity use; and secondly, to develop a research ''roadmap'' defining and prioritizing possible future public interest research and deployment efforts that would improve energy efficiency. Although there are many opinions concerning the energy intensity of data centers and the aggregate effect on California's electrical power systems, there is very little publicly available information. Through this project, actual energy consumption at its end use was measured in a number of data centers. This benchmark data was documented in case study reports, along with site-specific energy efficiency recommendations. Additionally, other data center energy benchmarks were obtained through synergistic projects, prior PG&E studies, and industry contacts. In total, energy benchmarks for sixteen data centers were obtained. For this project, a broad definition of ''data center'' was adopted which included internet hosting, corporate, institutional, governmental, educational and other miscellaneous data centers. Typically these facilities require specialized infrastructure to provide high quality power and cooling for IT equipment. All of these data center types were considered in the development of an estimate of the total power consumption in California. Finally, a research ''roadmap'' was developed

  9. Predictive validity of biochemical biomarkers in knee osteoarthritis: data from the FNIH OA Biomarkers Consortium.

    Science.gov (United States)

    Kraus, Virginia Byers; Collins, Jamie E; Hargrove, David; Losina, Elena; Nevitt, Michael; Katz, Jeffrey N; Wang, Susanne X; Sandell, Linda J; Hoffmann, Steven C; Hunter, David J

    2017-01-01

    To investigate a targeted set of biochemical biomarkers as predictors of clinically relevant osteoarthritis (OA) progression. Eighteen biomarkers were measured at baseline, 12 months (M) and 24 M in serum (s) and/or urine (u) of cases (n=194) from the OA initiative cohort with knee OA and radiographic and persistent pain worsening from 24 to 48 M and controls (n=406) not meeting both end point criteria. Primary analyses used multivariable regression models to evaluate the association between biomarkers (baseline and time-integrated concentrations (TICs) over 12 and 24 M, transposed to z values) and case status, adjusted for age, sex, body mass index, race, baseline radiographic joint space width, Kellgren-Lawrence grade, pain and pain medication use. For biomarkers with adjusted pbiomarkers significantly predicted case status (ORs per 1 SD change in biomarker): sCTXI 1.28, sHA 1.22, sNTXI 1.25, uC2C-HUSA 1.27, uCTXII, 1.37, uNTXI 1.29, uCTXIα 1.32, uCTXIβ 1.27. 24 M TIC of uCTXII (1.47-1.72) and uC2C-Human Urine Sandwich Assay (HUSA) (1.36-1.50) both predicted individual group status (pain worsening, joint space loss and their combination). The most predictive and parsimonious combinatorial model for case status consisted of 24 M TIC uCTXII, sHA and sNTXI (AUC 0.667 adjusted). Baseline uCTXII and uCTXIα both significantly predicted case status (OR 1.29 and 1.20, respectively). Several systemic candidate biomarkers hold promise as predictors of pain and structural worsening of OA. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  10. Blood based proteomic biomarkers of Alzheimer’s disease pathology

    Directory of Open Access Journals (Sweden)

    Alison Louise Baird

    2015-11-01

    Full Text Available The complexity of Alzheimer’s disease (AD and its long prodromal phase poses challenges for early diagnosis and yet allows for the possibility of the development of disease modifying treatments for secondary prevention. It is therefore of importance to develop biomarkers, in particular in the preclinical or early phases that reflect the pathological characteristics of the disease and moreover could be of utility in triaging subjects for preventative therapeutic clinical trials. Much research has sought biomarkers for diagnostic purposes by comparing affected people to unaffected controls. However, given that AD pathology precedes disease onset, a pathology endophenotype design for biomarker discovery creates the opportunity for detection of much earlier markers of disease. Blood based biomarkers potentially provide a minimally invasive option for this purpose and research in the field has adopted various omics approaches in order to achieve this. This review will therefore examine the current literature regarding blood based proteomic biomarkers of AD and its associated pathology.

  11. Biomarkers of acute lung injury: worth their salt?

    Directory of Open Access Journals (Sweden)

    Proudfoot Alastair G

    2011-12-01

    Full Text Available Abstract The validation of biomarkers has become a key goal of translational biomedical research. The purpose of this article is to discuss the role of biomarkers in the management of acute lung injury (ALI and related research. Biomarkers should be sensitive and specific indicators of clinically important processes and should change in a relevant timeframe to affect recruitment to trials or clinical management. We do not believe that they necessarily need to reflect pathogenic processes. We critically examined current strategies used to identify biomarkers and which, owing to expedience, have been dominated by reanalysis of blood derived markers from large multicenter Phase 3 studies. Combining new and existing validated biomarkers with physiological and other data may add predictive power and facilitate the development of important aids to research and therapy.

  12. Oral biomarkers in exercise-induced neuroplasticity in Parkinson's disease.

    Science.gov (United States)

    Mougeot, J-Lc; Hirsch, M A; Stevens, C B; Mougeot, Fkb

    2016-11-01

    In this article, we review candidate biomarkers for Parkinson's disease (PD) in oral cavity, potential of oral biomarkers as markers of neuroplasticity, and literature on the effects of exercise on oral cavity biomarkers in PD. We first describe how pathophysiological pathways of PD may be transduced from brain stem and ganglia to oral cavity through the autonomic nervous system or transduced by a reverse path. Next we describe the effects of exercise in PD and potential impact on oral cavity. We propose that biomarkers in oral cavity may be useful targets for describing exercise-induced brain neuroplasticity in PD. Nevertheless, much research remains to be carried out before applying these biomarkers for the determination of disease state and therapeutic response to develop strategies to mitigate motor or non-motor symptoms in PD. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  13. 2-Furoylglycine as a Candidate Biomarker of Coffee Consumption.

    Science.gov (United States)

    Heinzmann, Silke S; Holmes, Elaine; Kochhar, Sunil; Nicholson, Jeremy K; Schmitt-Kopplin, Philippe

    2015-09-30

    Specific and sensitive food biomarkers are necessary to support dietary intake assessment and link nutritional habits to potential impact on human health. A multistep nutritional intervention study was conducted to suggest novel biomarkers for coffee consumption. (1)H NMR metabolic profiling combined with multivariate data analysis resolved 2-furoylglycine (2-FG) as a novel putative biomarker for coffee consumption. We relatively quantified 2-FG in the urine of coffee drinkers and investigated its origin, metabolism, and excretion kinetics. When searching for its potential precursors, we found different furan derivatives in coffee products, which are known to get metabolized to 2-FG. Maximal urinary excretion of 2-FG occurred 2 h after consumption (p = 0.0002) and returned to baseline after 24 h (p = 0.74). The biomarker was not excreted after consumption of coffee substitutes such as tea and chicory coffee and might therefore be a promising acute biomarker for the detection of coffee consumption in human urine.

  14. Trace Elements in Nails as Biomarkers in Clinical Research

    Science.gov (United States)

    He, Ka

    2010-01-01

    Background The importance of trace elements in relation to human health has been increasingly recognized. Accurate and adequate quantification of trace elements are crucial in clinical research. Design This review was to discuss the rationale of using nail trace elements as biomarkers in clinical studies. Results For most trace elements, dietary instruments can not appropriately capture the intakes because of the minimal amounts and wide variations in the same foods grown in different area as well as the non-dietary exposures. Therefore, biomarkers may be essential in studying trace elements. Although there are notable differences among trace elements in the availability of biomarkers, increasing evidence supports that nail particularly toenail concentrations of most trace elements are useful biomarkers of exposure in which a single sample is assumed to represent long-term exposure. Conclusions As compared to other potential biomarkers of trace elements, nail measurement has certain advantages in clinical research. PMID:20813017

  15. Biomarkers in Asthma: A Real Hope to Better Manage Asthma

    Science.gov (United States)

    Erzurum, Serpil C.; Gaston, Benjamin M.

    2012-01-01

    SYNOPSIS Diagnosis and treatment of asthma are currently based on assessment of patient symptoms and physiologic tests of airway reactivity. The morbidities and costs associated with the over and/or under treatment of this common disease, as well as the growing numbers of biologically-specific targeted strategies for therapy, provide a rationale for development of biomarkers to evaluate the presence and type of inflammation in individuals with asthma in order to optimize treatment plans. Research over the past decade has identified an array of biochemical and cellular biomarkers, which reflect the heterogeneous and multiple mechanistic pathways that may lead to asthma. These mechanistic biomarkers offer hope for optimal design of therapies targeting the specific pathways that lead to inflammation. This article provides an overview of blood, urine and airway biomarkers, summarizes the pathologic pathways that they signify, and begins to describe the utility of biomarkers in the future care of patients with asthma. PMID:22929095

  16. The Prognostic Value of Serum Biomarkers in Localized Bone Sarcoma

    DEFF Research Database (Denmark)

    Aggerholm-Pedersen, Ninna; Maretty-Kongstad, Katja; Keller, Johnny

    2016-01-01

    cases. Adjusting for confounders such as comorbidity and age is an essential safeguard against erroneous conclusions regarding the possible prognostic value of these biomarkers. The aim of this study was to assess the prognostic value of a battery of pretreatment biomarkers in the serum of patients......, lymphocytes, and sodium were collected from the patient records. The prognostic values of overall and disease-specific mortality were tested for each individual biomarker as well as for the Glasgow prognostic score (GPS) and for a new composite score incorporating five biomarkers (Aarhus composite biomarker...... for comorbidity and other confounders, it was found that elevated levels of CRP, low hemoglobin, low sodium, high GPS, and high ACBS were associated with increased overall mortality. Furthermore, elevated levels of CRP, low hemoglobin, high GPS, and high ACBS were associated with increased disease...

  17. Target biomarker profile for the clinical management of paracetamol overdose

    Science.gov (United States)

    Vliegenthart, A D Bastiaan; Antoine, Daniel J; Dear, James W

    2015-01-01

    Paracetamol (acetaminophen) overdose is one of the most common causes of acute liver injury in the Western world. To improve patient care and reduce pressure on already stretched health care providers new biomarkers are needed that identify or exclude liver injury soon after an overdose of paracetamol is ingested. This review highlights the current state of paracetamol poisoning management and how novel biomarkers could improve patient care and save healthcare providers money. Based on the widely used concept of defining a target product profile, a target biomarker profile is proposed that identifies desirable and acceptable key properties for a biomarker in development to enable the improved treatment of this patient population. The current biomarker candidates, with improved hepatic specificity and based on the fundamental mechanistic basis of paracetamol-induced liver injury, are reviewed and their performance compared with our target profile. PMID:26076366

  18. Risk Factors and Biomarkers of Age-Related Macular Degeneration

    Science.gov (United States)

    Lambert, Nathan G.; Singh, Malkit K.; ElShelmani, Hanan; Mansergh, Fiona C.; Wride, Michael A.; Padilla, Maximilian; Keegan, David; Hogg, Ruth E.; Ambati, Balamurali K.

    2016-01-01

    A biomarker can be a substance or structure measured in body parts, fluids or products that can affect or predict disease incidence. As age-related macular degeneration (AMD) is the leading cause of blindness in the developed world, much research and effort has been invested in the identification of different biomarkers to predict disease incidence, identify at risk individuals, elucidate causative pathophysiological etiologies, guide screening, monitoring and treatment parameters, and predict disease outcomes. To date, a host of genetic, environmental, proteomic, and cellular targets have been identified as both risk factors and potential biomarkers for AMD. Despite this, their use has been confined to research settings and has not yet crossed into the clinical arena. A greater understanding of these factors and their use as potential biomarkers for AMD can guide future research and clinical practice. This article will discuss known risk factors and novel, potential biomarkers of AMD in addition to their application in both academic and clinical settings. PMID:27156982

  19. The New Digital Divide For Digital BioMarkers.

    Science.gov (United States)

    Torous, John; Rodriguez, Jorge; Powell, Adam

    2017-09-01

    As smartphone and sensors continue to become more ubiquitous across the world, digital biomarkers have emerged as a scalable and practical tool to explore disease states and advance health. But as the digital divide of access and ownership begins to fade, a new digital divide is emerging. Who are the types of people that own smartphones or smart watches, who are the types of people that download health apps or partake in digital biomarker studies, and who are the types of people that are actually active with digital biomarkers apps and sensors - the people providing the high quality and longitudinal data that this field is being founded upon? Understanding the people behind digital biomarkers, the very people this emerging field aims to help, may actually be the real challenge as well as opportunity for digital biomarkers.

  20. Potential Peripheral Biomarkers for the Diagnosis of Alzheimer's Disease

    Directory of Open Access Journals (Sweden)

    Seema Patel

    2011-01-01

    Full Text Available Advances in the discovery of a peripheral biomarker for the diagnosis of Alzheimer's would provide a way to better detect the onset of this debilitating disease in a manner that is both noninvasive and universally available. This paper examines the current approaches that are being used to discover potential biomarker candidates available in the periphery. The search for a peripheral biomarker that could be utilized diagnostically has resulted in an extensive amount of studies that employ several biological approaches, including the assessment of tissues, genomics, proteomics, epigenetics, and metabolomics. Although a definitive biomarker has yet to be confirmed, advances in the understanding of the mechanisms of the disease and major susceptibility factors have been uncovered and reveal promising possibilities for the future discovery of a useful biomarker.

  1. The Role of Biomarkers in Detection of Cardio-toxicity.

    Science.gov (United States)

    Shah, Kevin S; Yang, Eric H; Maisel, Alan S; Fonarow, Gregg C

    2017-06-01

    The goal of this paper is to review the current literature on the role of biomarkers in the detection and management of patients with cardio-oncologic disease. The role of biomarker surveillance in patients with known cardiac disease, as a result of chemotherapy or with the potential to develop cardio-toxicity, will be discussed. In addition, the studies surrounding sub-clinical cardiac toxicity monitoring during therapy, identification of high-risk patients prior to therapy, and tailoring oncologic therapies to potential biomarker risk profiles are reviewed. Based on evidence, to date, troponin and natriuretic peptides have the greatest potential to detect sub-clinical cardiac dysfunction and even tailor therapy to prevent progression based on biomarker profiles. Finally, future directions for potential utilization of novel biomarkers for the improvement of care of patients in the field of cardio-oncology are discussed.

  2. Dietary and health biomarkers - time for an update

    DEFF Research Database (Denmark)

    Dragsted, Lars Ove; Gao, Qian; Pratico, Giulia

    2017-01-01

    the Joint Programming Initiative-A Healthy Diet for a Healthy Life (JPI-HDHL)-is aimed at meeting some of these challenges, identifying new dietary biomarkers, and producing new databases and review papers on biomarkers for nutritional research. This current paper outlines the needs and serves....... The implementation of biomarkers in nutritional research will be important to improve measurements of dietary intake, exposure to specific dietary components, and of compliance to dietary interventions. Biomarkers could also help with improved characterization of nutritional status in study volunteers and to provide...... much mechanistic insight into the effects of food components and diets. Although hundreds of papers in nutrition are published annually, there is no current ontology for the area, no generally accepted classification terminology for biomarkers in nutrition and health, no systematic validation scheme...

  3. Investigation of Tear Biomarkers as an Indicator of Human Health

    Science.gov (United States)

    Morton, Stephen; Tucker, Bethany; Crucian, Brian; Steinberg, Susan; Hagan, Suzanne

    2017-01-01

    Scientific literature suggests that tear biomarkers can be used as a guide towards clinical diagnosis of human health (Hagan et al., 2016). This study will investigate whether tear biomarkers represents a research and clinical opportunity to assess human health prior to, during, and after exposure to the spaceflight environment. The focus of this study is to compare biomarkers previously identified as potentially relevant to both ocular and brain health against unique physiological outcomes of exposure to the space flight environment. Study subjects suffering from terrestrial conditions thought to be similar to Spaceflight Associated Neuro-ocular Syndrome (SANS: formerly VIIP), e.g. patients with idiopathic intracranial hypertension (IIH) and optic neuritis may be relevant to conditions associated with spaceflight. This study will review methodologies, tear biomarkers related to state of ocular and brain health, the strengths and weakness of using tear fluid biomarkers versus other body fluid samples, and will survey current tear fluid biomarker knowledge in research and clinical practice. A strength of using tear biomarkers is that sampling is non-invasive and used as a guide in understanding pathologies, including ocular and systemic inflammatory conditions (Cocho et al., 2016)., Salvisberg et al., 2014). Moreover, tear biomarkers may reflect diseases affecting the central nervous system (CNS) (Salvisberg et al., 2014). For example, in multiple sclerosis (MS), the concordance rate between tear biomarkers versus cerebrospinal fluid (CSF) is approximately 83%, indicating that, in the majority of cases, tears are at least as effective as CSF in potentially identifying novel MS biomarkers (Devos et al., 2001).

  4. Advances in Biomarkers in Critical Ill Polytrauma Patients.

    Science.gov (United States)

    Papurica, Marius; Rogobete, Alexandru F; Sandesc, Dorel; Dumache, Raluca; Cradigati, Carmen A; Sarandan, Mirela; Nartita, Radu; Popovici, Sonia E; Bedreag, Ovidiu H

    2016-01-01

    The complexity of the cases of critically ill polytrauma patients is given by both the primary, as well as the secondary, post-traumatic injuries. The severe injuries of organ systems, the major biochemical and physiological disequilibrium, and the molecular chaos lead to a high rate of morbidity and mortality in this type of patient. The 'gold goal' in the intensive therapy of such patients resides in the continuous evaluation and monitoring of their clinical status. Moreover, optimizing the therapy based on the expression of certain biomarkers with high specificity and sensitivity is extremely important because of the clinical course of the critically ill polytrauma patient. In this paper we wish to summarize the recent studies of biomarkers useful for the intensive care unit (ICU) physician. For this study the available literature on specific databases such as PubMed and Scopus was thoroughly analyzed. Each article was carefully reviewed and useful information for this study extracted. The keywords used to select the relevant articles were "sepsis biomarker", "traumatic brain injury biomarker" "spinal cord injury biomarker", "inflammation biomarker", "microRNAs biomarker", "trauma biomarker", and "critically ill patients". For this study to be carried out 556 original type articles were analyzed, as well as case reports and reviews. For this review, 89 articles with relevant topics for the present paper were selected. The critically ill polytrauma patient, because of the clinical complexity the case presents with, needs a series of evaluations and specific monitoring. Recent studies show a series of either tissue-specific or circulating biomarkers that are useful in the clinical status evaluation of these patients. The biomarkers existing today, with regard to the critically ill polytrauma patient, can bring a significant contribution to increasing the survival rate, by adapting the therapy according to their expressions. Nevertheless, the necessity remains to

  5. 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

  6. Biomarkers in translational research of Alzheimer's disease.

    Science.gov (United States)

    Tarawneh, Rawan; Holtzman, David M

    2010-01-01

    The identification and characterization of amyloid-beta (Abeta) and tau as the main pathological substrates of Alzheimer's disease (AD) have driven many efforts in search for suitable biomarkers for AD. In the last decade, research in this area has focused on developing a better understanding of the principles that govern protein deposition, mechanisms that link aggregation to toxicity and neuronal death, and a better understanding of protein dynamics in brain tissue, interstitial fluid and CSF. While Abeta and tau represent the two key pathological mediators of disease, other aspects of this multifaceted disease (e.g. oxidative stress, calcium-mediated toxicity, and neuroinflammation) are being unraveled, with the hope to develop a more comprehensive approach in exploring disease mechanisms. This has not only expanded possible areas for disease-modifying therapies, but has also allowed the introduction of novel, and potentially useful, fluid and radiological markers for the presence and progression of AD pathology. There is no doubt that the identification of several fluid and imaging biomarkers that can reliably detect the early stages of AD will have great implications in the design of clinical trials, in the selection of homogenous research populations, and in the assessment of disease outcomes. Markers with good diagnostic specificity will aid researchers in differentiating individuals with preclinical and probable AD from individuals who do not have AD pathology or have other dementing disorders. Markers that change with disease progression may offer utility in assessing the rates of disease progression and the efficacy of potential therapeutic agents on AD pathology. For both of these purposes, CSF Abeta42, amyloid imaging, and CSF tau appear to be very good markers of the presence of AD pathology as well as predictive of who will progress from MCI to AD. Volumetric MRI is also good at separating individuals with MCI and AD from controls and is predictive of

  7. Translational research and biomarkers in neonatal sepsis.

    Science.gov (United States)

    Delanghe, Joris R; Speeckaert, Marijn M

    2015-12-07

    As neonatal sepsis is a severe condition, there is a call for reliable biomarkers to differentiate between infected and noninfected newborns. Although blood culture has been considered as the gold standard, this analysis is still too slow and limited by false negative results. Use of CRP is hampered by a physiological 3-day increase, resulting in a low sensitivity to detect sepsis at an early stage. A moderate diagnostic accuracy of other acute phase proteins has been demonstrated (serum amyloid A, procalcitonin, lipopolysaccharide binding protein, mannose binding lectin and hepcidin). In neonatal sepsis, changed chemokine/cytokine levels are observed before those of acute phase reactants. High IL-6, IL-8, IL-10 and TNF-α concentrations are detected in infected infants. Soluble interleukin-2 receptor has been used to identify bacteremia, whereas low plasma RANTES concentrations are characteristic for septicemia. Several cell adhesion molecules contribute to the pathogenesis of sepsis. As an upregulated CD64 expression on granulocytes is found within 1-6h after bacterial invasion, serial CD64 measurements could guide antibiotic therapy. An increased CD11b/CD18 density can improve the diagnosis, and a positive correlation between CD11b and the severity of systemic inflammation has been reported. An early increase in sCD14-ST presepsin is also observed during sepsis, whereas high sTREM-1 values in early-onset neonatal sepsis (EOS) have been associated with mortality. Biomarkers resulting from proteomics are also promising. A 4-biomarker 'mass restricted' score has been validated as diagnostic for intra-amniotic infection and/or inflammation. S100A8 in amniotic fluid is a strong predictor of an increased incidence of EOS. Proteomic analysis of cord blood has revealed altered protein expression patterns. The ApoSAA score is useful for identifying sepsis and could guide prescription of antibiotics. (1)H-NMR and GC-MS metabolomics allow to diagnose septic shock, which is

  8. Biomarkers of Exposure to Toxic Substances. Volume 5: Biomarker Pre-validation Studies Prevalidation of Urine and Serum Biomarkers Indicative of Subclinical Kidney Damage in a Nephrotoxin Model

    Science.gov (United States)

    2009-05-01

    component complex prevents its filtration from the kidney. However, once retinol is released, the apoRBP4 is quickly filtered out the kidney...bladder cancer (Malmström et al., 1993) and as a plasma biomarker for preeclampsia (Yasumizu et al., 1996) although a thorough interrogation as to its...332, 6163, Mar 1988 pp. 411-415. Yasumizu T, and Kato J, “Clinical evaluation of plasma fibronectin level as a biomarker of preeclampsia ,” The

  9. Proteomic biomarkers for ovarian cancer risk in women with polycystic ovary syndrome: a systematic review and biomarker database integration.

    Science.gov (United States)

    Galazis, Nicolas; Olaleye, Olalekan; Haoula, Zeina; Layfield, Robert; Atiomo, William

    2012-12-01

    To review and identify possible biomarkers for ovarian cancer (OC) in women with polycystic ovary syndrome (PCOS). Systematic literature searches of MEDLINE, EMBASE, and Cochrane using the search terms "proteomics," "proteomic," and "ovarian cancer" or "ovarian carcinoma." Proteomic biomarkers for OC were then integrated with an updated previously published database of all proteomic biomarkers identified to date in patients with PCOS. Academic department of obstetrics and gynecology in the United Kingdom. A total of 180 women identified in the six studies. Tissue samples from women with OC vs. tissue samples from women without OC. Proteomic biomarkers, proteomic technique used, and methodologic quality score. A panel of six biomarkers was overexpressed both in women with OC and in women with PCOS. These biomarkers include calreticulin, fibrinogen-γ, superoxide dismutase, vimentin, malate dehydrogenase, and lamin B2. These biomarkers could help improve our understanding of the links between PCOS and OC and could potentially be used to identify subgroups of women with PCOS at increased risk of OC. More studies are required to further evaluate the role these biomarkers play in women with PCOS and OC. Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

  10. Relative Lyapunov Center Bifurcations

    DEFF Research Database (Denmark)

    Wulff, Claudia; Schilder, Frank

    2014-01-01

    Relative equilibria (REs) and relative periodic orbits (RPOs) are ubiquitous in symmetric Hamiltonian systems and occur, for example, in celestial mechanics, molecular dynamics, and rigid body motion. REs are equilibria, and RPOs are periodic orbits of the symmetry reduced system. Relative Lyapunov...... center bifurcations are bifurcations of RPOs from REs corresponding to Lyapunov center bifurcations of the symmetry reduced dynamics. In this paper we first prove a relative Lyapunov center theorem by combining recent results on the persistence of RPOs in Hamiltonian systems with a symmetric Lyapunov...

  11. Chemokines in the melanoma metastasis biomarkers portrait.

    Science.gov (United States)

    Neagu, Monica; Constantin, Carolina; Longo, Caterina

    2015-01-01

    Skin tumorigenesis is linked to inflammatory chemokines accumulation that can induce cancer-associated immune-suppression. Deregulation of the CXCR4/CXCL12 axis was reported in melanoma tumorigenesis while also linked to BRAF mutation. Some chemokine-receptor patterns can direct the organ-specific metastasis. CXCL10 can help to prognosticate high-risk patients as it is a chemokine that differentiated patients with vs. metastasis free ones. Besides serum/plasma, chemokine identification in the cerebrospinal fluid of melanoma patients can indicate brain metastasis. Interplay between suppressed and elevated chemokines in cerebrospinal fluid can pinpoint an aggressive melanoma brain metastasis. Chemokines are gaining rapid momentum in the biomarker discovery domain aiding melanoma prognosis and high-risk patients' stratification.

  12. Apolipoprotein M - a new biomarker in sepsis

    DEFF Research Database (Denmark)

    Christoffersen, Christina; Nielsen, Lars Bo

    2012-01-01

    ABSTRACT: Sepsis is one of the leading causes of mortality in non-cardiac intensive care units, and the need for markers of progression and severity are high. Also, treatment of sepsis is highly debated and potential new targets of treatment are of great interest. In the previous issue of Critical...... Care Kumaraswamy and colleagues have investigated whether plasma apolipoprotein M (apoM) is affected during different grades of sepsis, septic shock and systemic inflammatory response syndrome. Interestingly, plasma apoM was significantly decreased in all groups of patients with a relationship...... to severity of disease. This identifies apoM as a potential new biomarker in sepsis. It also underscores the possibility that altered high-density lipoprotein in sepsis patients can affect the course of disease. Thus, since apoM is the carrier of Sphingosine-1-P (S1P), a molecule with great influence...

  13. Symptoms and biomarkers associated with celiac disease

    DEFF Research Database (Denmark)

    Kårhus, Line L; Thuesen, Betina H; Rumessen, Juri J.

    2016-01-01

    OBJECTIVES: To identify possible early predictors (symptoms and biomarkers) of celiac disease, compare symptoms before and after screening, and evaluate the diagnostic efficacy of serologic screening for celiac disease in an adult Danish population. METHODS: This cross-sectional population......-based study was based on the 5-year follow-up of the Health2006 cohort, where 2297 individuals were screened for celiac disease; 56 were antibody positive and thus invited to clinical evaluation. Eight were diagnosed with biopsy-verified celiac disease. A follow-up questionnaire was sent to antibody......-positive individuals 19 months after the clinical evaluation to obtain information on their symptoms and their experience with participation in the screening. RESULTS: Before screening, participants subsequently diagnosed with celiac disease did not differ from the rest of the population with respect to symptoms...

  14. Adipokines as Potential Biomarkers in Rheumatoid Arthritis

    Directory of Open Access Journals (Sweden)

    Annalisa Del Prete

    2014-01-01

    Full Text Available Rheumatoid arthritis (RA is a chronic systemic inflammatory autoimmune disease characterized by severe joint injury. Recently, research has been focusing on the possible identification of predictor markers of disease onset and/or progression, of joint damage, and of therapeutic response. Recent findings have uncovered the role of white adipose tissue as a pleiotropic organ not only specialized in endocrine functions but also able to control multiple physiopathological processes, including inflammation. Adipokines are a family of soluble mediators secreted by white adipose tissue endowed with a wide spectrum of actions. This review will focus on the recent advances on the role of the adipokine network in the pathogenesis of RA. A particular attention will be devoted to the action of these proteins on RA effector cells, and on the possibility to use circulating levels of adipokines as potential biomarkers of disease activity and therapeutic response.

  15. The COPD Biomarker Qualification Consortium (CBQC)

    DEFF Research Database (Denmark)

    Casaburi, Richard; Celli, Bartolome; Crapo, James

    2013-01-01

    Abstract Knowledge about the pathogenesis and pathophysiology of chronic obstructive pulmonary disease (COPD) has advanced dramatically over the last 30 years. Unfortunately, this has had little impact in terms of new treatments. Over the same time frame, only one new class of medication for COPD......, and no interested party has been in a position to undertake such a process. In order to facilitate the development of novel tools to assess new treatments, the Food and Drug Administration, in collaboration with the COPD Foundation, the National Heart Lung and Blood Institute and scientists from the pharmaceutical...... industry and academia conducted a workshop to survey the available information that could contribute to new tools. Based on this, a collaborative project, the COPD Biomarkers Qualification Consortium, was initiated. The Consortium in now actively preparing integrated data sets from existing resources...

  16. Unravelling socio-motor biomarkers in schizophrenia.

    Science.gov (United States)

    Słowiński, Piotr; Alderisio, Francesco; Zhai, Chao; Shen, Yuan; Tino, Peter; Bortolon, Catherine; Capdevielle, Delphine; Cohen, Laura; Khoramshahi, Mahdi; Billard, Aude; Salesse, Robin; Gueugnon, Mathieu; Marin, Ludovic; Bardy, Benoit G; di Bernardo, Mario; Raffard, Stephane; Tsaneva-Atanasova, Krasimira

    2017-01-01

    We present novel, low-cost and non-invasive potential diagnostic biomarkers of schizophrenia. They are based on the 'mirror-game', a coordination task in which two partners are asked to mimic each other's hand movements. In particular, we use the patient's solo movement, recorded in the absence of a partner, and motion recorded during interaction with an artificial agent, a computer avatar or a humanoid robot. In order to discriminate between the patients and controls, we employ statistical learning techniques, which we apply to nonverbal synchrony and neuromotor features derived from the participants' movement data. The proposed classifier has 93% accuracy and 100% specificity. Our results provide evidence that statistical learning techniques, nonverbal movement coordination and neuromotor characteristics could form the foundation of decision support tools aiding clinicians in cases of diagnostic uncertainty.

  17. Biomarkers as prognostic factors in endometrial cancer.

    Directory of Open Access Journals (Sweden)

    Sławomir J Terlikowski

    2010-11-01

    Full Text Available Endometrial cancer is the most common gynecologic malignancy in more developed countries. Approximately 75% of cases are diagnosed at an early stage with a tumor confined to the uterine corpus. Although most patients are cured by surgery alone, about 15-20% with no signs of locally advanced or metastatic disease at primary treatment recurs, with limited responsiveness to systemic therapy. The most common basis for determining the risk of recurrent disease has been classification of endometrial cancers into two subtypes. Type I, associated with a good prognosis and endometrioid histology and type II, associated with a poor prognosis and non-endometrioid histology. This review will focus primarily on the molecular biomarkers that have supported the dualistic model of endometrial carcinoma and help determine which patients would benefit from either adjuvant therapy or more aggressive primary treatment.

  18. 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.

  19. Cancer and molecular biomarkers of phase 2

    DEFF Research Database (Denmark)

    Dalhoff, Kim; Enghusen Poulsen, Henrik

    2005-01-01

    Associations between genotypes of phase 2 enzymes and cancer risk are extracted from epidemiological studies, namely case-control studies. Variant alleles in glutathione S-transferase (GST), UDP-glucuronosyltransferase (UGT), sulfotransferase (SULT), and N-acetyltransferase (NAT) have been used...... as molecular genetic biomarkers of risk. GSTM(my)1 has been associated with an increased risk of colorectal cancer, lung cancer, and bladder cancer and GSTP(pi)1 with prostate cancer. UGT1A1*28 and *37 are both associated with an increased risk of breast cancer as is SULT1A1*2. The presence of UGT1A1......*28 results in an increased risk of ovarian cancer and NAT2 of colorectal and lung cancer. A high frequency of SULT1A1*1 has been identified in patients with breast cancer; the role in colorectal cancer is more controversial. This chapter discusses the balance between carcinogen activation and detoxification...

  20. FET-biosensor for cardiac troponin biomarker

    Directory of Open Access Journals (Sweden)

    Md Arshad Mohd Khairuddin

    2017-01-01

    Full Text Available Acute myocardial infarction or myocardial infarction (MI is a major health problem, due to diminished flow of blood to the heart, leads to higher rates of mortality and morbidity. The most specific markers for cardiac injury are cardiac troponin I (cTnI and cardiac troponin T (cTnT which have been considered as ‘gold standard’. Due to higher specificity, determination of the level of cardiac troponins became a predominant indicator for MI. Currently, field-effect transistor (FET-based biosensors have been main interest to be implemented in portable sensors with the ultimate application in point-of-care testing (POCT. In this paper, we review on the FET-based biosensor based on its principle of operation, integration with nanomaterial, surface functionalization as well as immobilization, and the introduction of additional gate (for ambipolar conduction on the device architecture for the detection of cardiac troponin I (cTnI biomarker.

  1. Infectious Disease Proteome Biomarkers: Final Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Bailey, Charles L.

    2011-12-31

    Research for the DOE Infectious Disease Proteome Biomarkers focused on Rift Valley fever virus (RVFV) and Venezuelan Equine Encephalitis Virus (VEEV). RVFV and VEEV are Category A and B pathogens respectively. Among the priority threats, RVFV and VEEV rank high in their potential for being weaponized and introduced to the United States, spreading quickly, and having a large health and economic impact. In addition, they both have live attenuated vaccine, which allows work to be performed at BSL-2. While the molecular biology of RVFV and VEEV are increasingly well-characterized, little is known about its host-pathogen interactions. Our research is aimed at determining critical alterations in host signaling pathways to identify therapeutics targeted against the host.

  2. Proteomic biomarkers for lung cancer progression.

    Science.gov (United States)

    Ren, Yanjiao; Zhao, Shishun; Jiang, Dandan; Feng, Xin; Zhang, Yexian; Wei, Zhipeng; Wang, Zhongyu; Zhang, Wenniu; Zhou, Qing F; Li, Yong; Hou, Hanxu; Xu, Ying; Zhou, Fengfeng

    2018-02-09

    Lung adenocarcinoma (LUAD) and lung squamous-cell carcinoma (LUSC) are two major subtypes of lung cancer and constitute about 70% of all the lung cancer cases. The patient's lifespan and living quality will be significantly improved if they are diagnosed at an early stage and adequately treated. Methodology & results: This study comprehensively screened the proteomic dataset of both LUAD and LUSC, and proposed classification models for the progression stages of LUAD and LUSC with accuracies 86.51 and 89.47%, respectively. A comparative analysis was also carried out on related transcriptomic datasets, which indicates that the proposed biomarkers provide discerning power for accurate stage prediction, and will be improved when larger-scale proteomic quantitative technologies become available.

  3. Salivaomics for oral diseases biomarkers detection.

    Science.gov (United States)

    Tasoulas, Jason; Patsouris, Efstratios; Giaginis, Constantinos; Theocharis, Stamatios

    2016-01-01

    The variation of saliva composition in different physiological and pathological states is well demonstrated. Several saliva constituents (enzymes, hormones, antibodies, cytokines etc.) are up- or down-regulated in respect to benign, premalignant and malignant conditions in the oral cavity, and several patterns of deregulation are associated with specific disorders. Omics technologies have contributed significantly in the identification of alterations in gene expression, transcription, protein coding and small molecules concentration, in biologic systems. In this aspect, salivaomics integrate these technologies in saliva analysis and represent a novel and holistic approach in oral disease management including diagnosis, prognosis and monitoring. This review summarizes the current research in the discovery of biomarkers and molecular signatures with diagnostic or prognostic utility for oral diseases in saliva. The review also focuses on the emerging issues of the salivaomics technology and saliva diagnostics and the translational potential.

  4. Immunoproteomics: From biomarker discovery to diagnostic applications.

    Science.gov (United States)

    Tjalsma, Harold; Schaeps, Renée M J; Swinkels, Dorine W

    2008-02-01

    Circulating antibodies reflect a molecular imprint of antigens that are related to autoimmune diseases, cancer or infection. Importantly, serum antibodies are useful clinical markers as they carry diagnostic information from all around the human body. Moreover, the amplification cascade governed by the humoral immune system causes a surplus of circulating antibodies after appearance of the corresponding (low abundance) antigen. In combination with the fact that antibodies are highly stable compared to many other serum proteins, they seem ideal to be implemented in clinical diagnostic assays for the detection of antigen-associated diseases. This review summarises advances in immunoproteomics with respect to technologies for biomarker discovery, with special emphasis on recently developed gel-free MS-based approaches, and looks forward to potential immunoproteomic applications in diagnostic medicine. Copyright © 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  5. FET-biosensor for cardiac troponin biomarker

    Science.gov (United States)

    Arshad, Mohd Khairuddin Md; Faris Mohamad Fathil, Mohamad; Hashim, Uda

    2017-11-01

    Acute myocardial infarction or myocardial infarction (MI) is a major health problem, due to diminished flow of blood to the heart, leads to higher rates of mortality and morbidity. The most specific markers for cardiac injury are cardiac troponin I (cTnI) and cardiac troponin T (cTnT) which have been considered as `gold standard'. Due to higher specificity, determination of the level of cardiac troponins became a predominant indicator for MI. Currently, field-effect transistor (FET)-based biosensors have been main interest to be implemented in portable sensors with the ultimate application in point-of-care testing (POCT). In this paper, we review on the FET-based biosensor based on its principle of operation, integration with nanomaterial, surface functionalization as well as immobilization, and the introduction of additional gate (for ambipolar conduction) on the device architecture for the detection of cardiac troponin I (cTnI) biomarker.

  6. 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.

  7. DNA methylation as a biomarker for preeclampsia.

    Science.gov (United States)

    Anderson, Cindy M; Ralph, Jody L; Wright, Michelle L; Linggi, Bryan; Ohm, Joyce E

    2014-10-01

    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. 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. 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). 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. 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. © The Author(s) 2013.

  8. Biomarkers of depression in cancer patients.

    Science.gov (United States)

    Jehn, Christian Friedrich; Kuehnhardt, Dagmar; Bartholomae, Andrea; Pfeiffer, Sebastian; Krebs, Michael; Regierer, Anne Constanze; Schmid, Peter; Possinger, Kurt; Flath, Bernd Christian

    2006-12-01

    Inflammation and perturbation of the hypothalamic-pituitary-adrenal (HPA) axis function appears to play a putative role in the etiology of depression. Patients with metastatic cancer demonstrate elevated prevalence rates for depression. The objective of the current study was to illustrate the efficacy of interleukin-6 (IL-6) and HPA axis function as adjuncts to support the diagnosis of depression in cancer patients. Plasma concentrations of IL-6 and cortisol were measured in 114 cancer patients with and without depression. The relative diurnal variation of cortisol (cortisol VAR), expressed as a percentage, was calculated. Receiver operating characteristics analysis was performed. Depression was associated with increased plasma concentrations of IL-6 (18.7 pg/mL vs. 2.7 pg/mL; P < .001) and higher cortisol concentrations at 8 AM and 8 PM. The relative cortisol VAR (11.7% vs. 60.6%, respectively; P < .001) was found to be decreased in cancer patients with depression, indicating a disturbed circadian function of the HPA axis. As a biomarker of depression, IL-6 yielded at a cutoff value of 10.6 pg/mL, a sensitivity of 79%, and a specificity of 87% (area under the curve [AUC] = 0.86; 95% confidence interval [95% CI], 0.78-0.94), whereas cortisol VAR demonstrated a sensitivity of 81% and a specificity of 88% (AUC = 0.85; 95% CI, 0.74-0.97) at a cutoff value of 33.5%. Depression is associated with increased plasma IL-6 concentrations in patients with cancer. These patients demonstrate a dysfunction of the HPA-axis, characterized by a decreased diurnal variation of cortisol. The high sensitivity and specificity of these parameters biomarkers of depression make IL-6 and cortisol VAR helpful tools in the diagnosis of depression in patients with cancer. (c) 2006 American Cancer Society.

  9. 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.

  10. 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.

  11. Inflammatory cytokines as biomarkers in heart failure.

    Science.gov (United States)

    Ueland, Thor; Gullestad, Lars; Nymo, Ståle H; Yndestad, Arne; Aukrust, Pål; Askevold, Erik T

    2015-03-30

    Inflammation has been implicated in the pathogenesis of heart failure (HF). In addition to their direct involvement as mediators in the pathogenesis of HF, inflammatory cytokines and related mediators could also be suitable markers for risk stratification and prognostication in HF patients. Many reports have suggested that inflammatory cytokines may predict adverse outcome in these patients. However, most studies have been limited in sample size and lacking full adjustment with the most recent and strongest biochemical predictor such as NT-proBNP and high sensitivity troponins. Furthermore, a number of pre-analytical and analytical aspects of cytokine measurements may limit their use as biomarkers. This review focuses on technical, informative and practical considerations concerning the clinical use of inflammatory cytokines as prognostic biomarkers in HF. We focus on the predictive value of tumor necrosis factor (TNF) α, the TNF family receptors sTNFR1 and osteoprotegerin, interleukin (IL)-6 and its receptor gp130, the chemokines MCP-1, IL-8, CXCL16 and CCL21 and the pentraxin PTX-3 in larger prospective fully adjusted studies. No single inflammatory cytokine provides sufficient discrimination to justify the transition to everyday clinical use as a prognosticator in HF. However, while subjecting potential new HF markers to rigorous comparisons with "gold-standard" markers, such as NT-proBNP, using receiver operating characteristics (ROCs) and HF risk models, makes sense from a clinical standpoint, it may pose a threat to a broadening of mechanistic insight if the new markers are dismissed solely on account of lower statistical power. Copyright © 2014. Published by Elsevier B.V.

  12. 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.

  13. Center Innovation Fund Program

    Data.gov (United States)

    National Aeronautics and Space Administration — To stimulate and encourage creativity and innovation within the NASA Centers. The activities are envisioned to fall within the scope of NASA Space Technology or...

  14. FEMA Disaster Recovery Centers

    Data.gov (United States)

    Department of Homeland Security — This is a search site for FEMA's Disaster Recovery Centers (DRC). A DRC is a readily accessible facility or mobile office set up by FEMA where applicants may go for...

  15. Center for Contaminated Sediments

    Data.gov (United States)

    Federal Laboratory Consortium — The U.S. Army Corps of Engineers Center for Contaminated Sediments serves as a clearinghouse for technology and expertise concerned with contaminated sediments. The...

  16. National Automotive Center - NAC

    Data.gov (United States)

    Federal Laboratory Consortium — Encouraged by the advantages of collaboration, the U.S. Army Tank Automotive Research, Development and Engineering Center (TARDEC) worked with the Secretary of the...

  17. Cooperative Tagging Center (CTC)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Cooperative Tagging Center (CTC) began as the Cooperative Game Fish Tagging Program (GTP) at Woods Hole Oceanographic Institute (WHOI) in 1954. The GTP was...

  18. HUD Homeownership Centers

    Data.gov (United States)

    Department of Housing and Urban Development — HUD Homeownership Centers (HOCs) insure single family Federal Housing Administration (FHA) mortgages and oversee the selling of HUD homes. FHA has four Homeownership...

  19. Children's cancer centers

    Science.gov (United States)

    ... workers Mental health experts Therapists Child life workers Teachers Clergy Centers also offer many specific benefits such ... M. is also a founding member of Hi-Ethics and subscribes to the principles of the Health ...

  20. USU Patient Simulation Center

    Data.gov (United States)

    Federal Laboratory Consortium — he National Capital Area (NCA) Medical Simulation Center is a state-of-the-art training facility located near the main USU campus. It uses simulated patients (i.e.,...

  1. Center for Hydrogen Storage.

    Science.gov (United States)

    2013-06-01

    The main goals of this project were to (1) Establish a Center for Hydrogen Storage Research at Delaware State University for the preparation and characterization of selected complex metal hydrides and the determination their suitability for hydrogen ...

  2. Advanced Missile Signature Center

    Data.gov (United States)

    Federal Laboratory Consortium — The Advanced Missile Signature Center (AMSC) is a national facility supporting the Missile Defense Agency (MDA) and other DoD programs and customers with analysis,...

  3. Mobility Data Analytics Center.

    Science.gov (United States)

    2016-01-01

    Mobility Data Analytics Center aims at building a centralized data engine to efficiently manipulate : large-scale data for smart decision making. Integrating and learning the massive data are the key to : the data engine. The ultimate goal of underst...

  4. World Trade Center

    Index Scriptorium Estoniae

    2006-01-01

    Esilinastus katastroofifilm "World Trade Center" : stsenarist Andrea Berloff : režissöör Oliver Stone : kunstnik Jan Roelfs : osades Nicholas Cage, Michael Pena, Stephen Dorff jpt : Ameerika Ühendriigid 2006. Ka filmi prototüüpidest

  5. Mental Health Screening Center

    Science.gov (United States)

    ... Releases & Announcements Public Service Announcements Partnering with DBSA Mental Health Screening Center These online screening tools are not ... you have any concerns, see your doctor or mental health professional. Depression Screening for Adult Depression Screening for ...

  6. Global Hydrology Research Center

    Data.gov (United States)

    National Aeronautics and Space Administration — The GHRC is the data management and user services arm of the Global Hydrology and Climate Center. It encompasses the data and information management, supporting...

  7. Facility Focus: Athletic Centers.

    Science.gov (United States)

    College Planning & Management, 2002

    2002-01-01

    Describes the designs of the Jesse Owens Memorial Stadium at Ohio State University and the fitness center of Scottsdale Community College in Arizona. Discusses design goals and unique features and includes photographs. (EV)

  8. Carbon Monoxide Information Center

    Medline Plus

    Full Text Available ... CONSUMER PRODUCT SAFETY COMMISSION Search CPSC Search Menu Home Recalls Recall List CPSC Recall API Recall Lawsuits ... and Bans Report an Unsafe Product Consumers Businesses Home Safety Education Safety Education Centers Carbon Monoxide Information ...

  9. Accredited Birth Centers

    Science.gov (United States)

    ... Birthing Center-Cedar Park Accredited 1130 Cottonwood Creek Trail Building D Suite 2 Cedar Park, TX 78613 ... Health Accredited 29135 Ellensburg Avenue PO Box 1710 Gold Beach, OR 97444 541-425-5311 Accredited since ...

  10. Carbon Monoxide Information Center

    Medline Plus

    Full Text Available ... Community Outreach Resource Center Toy Recall Statistics CO Poster Contest Pool Safely Business & Manufacturing Business & Manufacturing Business ... Featured Resources CPSC announces winners of carbon monoxide poster contest Video View the blog Clues You Can ...

  11. Beringin Youth Center

    OpenAIRE

    Putra, Yogi Pratama

    2016-01-01

    Development Kualanamu International Airport will have an impact on the growth of a region. Regional growth requires improving the quality of human resources in the area. Beringin Youth Development Center in addition to a youth facility and infrastructure is also useful to improve the quality of the resource the youth, with youth activities are creative. In addition to local youth activities, Beringin Youth Center can be used to perform youth international scale, with mess facil...

  12. Centering device for casings

    Energy Technology Data Exchange (ETDEWEB)

    Abdulzade, A.M.G.; Aliyev, R.K.; Karash, E.B.; Mamedov, T.R.G.; Puzanov, A.N.; Yakobashvili, M.V.

    1982-01-01

    A centering device is proposed for casings consisting of 2 rings connected by spring planks, and bushing with support element. In order to improve operating reliability of the centering device in the twisted well, the support element of the bushing is made in a cross section in the form of an ellipse and on the outer surface has spiral slits. A support element can be made of elastic material.

  13. Defining a role for novel biomarkers in acute coronary syndromes.

    Science.gov (United States)

    Bonaca, Marc P; Morrow, David A

    2008-09-01

    Biomarkers play a pivotal role in the diagnosis and treatment of patients with cardiovascular disease. Active investigation has brought forward an increasingly large number of novel candidate markers; however, few of these markers have yet to be incorporated into routine clinical use. This review discusses biomarkers currently used in the setting of acute coronary syndromes. In this context, we assess the contemporary unmet needs for novel biomarkers in acute ischemic heart disease and the related challenges faced in developing new biomarkers to the point of integration into clinical practice. In particular, we address the impact of the availability of increasingly sensitive biomarkers of myocardial necrosis on the potential roles for novel biomarkers of inflammation, thrombosis, and ischemia. Although active investigation has produced a growing list of candidate novel biomarkers for the care of patients with cardiovascular disease, it has become increasingly challenging to find appreciable incremental clinical benefit for their addition to existing markers, in particular newer, more analytically sensitive cardiac troponin assays. A major challenge for researchers and clinicians will be to demonstrate whether candidate novel markers are useful in improving diagnosis and guiding clinical treatment.

  14. [A new serum biomarker for lung cancer - transthyretin.].

    Science.gov (United States)

    Liu, Liyun; Sun, Suozhu; Liu, Jifu; Wu, Shanshan; Dai, Songwei; Wang, Xiaomin; Huang, Lingyun; Xiao, Xueyuan; He, Dacheng

    2009-04-20

    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. Serum sample 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. Three protein peaks with the molecular weight 13.78 kDa, 13.90 kDa and 14.07 kDa were found significantly decreased 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. TTRs acted as the potentially useful biomarkers for lung cancer by SELDI technique.

  15. 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. Copyright © 2016 Elsevier Ltd. All rights reserved.

  16. Colorectal cancer tumour markers and biomarkers: Recent therapeutic advances.

    Science.gov (United States)

    Lech, Gustaw; Słotwiński, Robert; Słodkowski, Maciej; Krasnodębski, Ireneusz Wojciech

    2016-02-07

    Colorectal cancer (CRC) is the second most commonly diagnosed cancer among females and third among males worldwide. It also contributes significantly to cancer-related deaths, despite the continuous progress in diagnostic and therapeutic methods. Biomarkers currently play an important role in the detection and treatment of patients with colorectal cancer. Risk stratification for screening might be augmented by finding new biomarkers which alone or as a complement of existing tests might recognize either the predisposition or early stage of the disease. Biomarkers have also the potential to change diagnostic and treatment algorithms by selecting the proper chemotherapeutic drugs across a broad spectrum of patients. There are attempts to personalise chemotherapy based on presence or absence of specific biomarkers. In this review, we update review published last year and describe our understanding of tumour markers and biomarkers role in CRC screening, diagnosis, treatment and follow-up. Goal of future research is to identify those biomarkers that could allow a non-invasive and cost-effective diagnosis, as well as to recognise the best prognostic panel and define the predictive biomarkers for available treatments.

  17. Tracking Biocultural Pathways to Health Disparities: The Value of Biomarkers

    Science.gov (United States)

    Worthman, Carol M.; Costello, E. Jane

    2009-01-01

    Background Cultural factors and biomarkers are emerging emphases in social epidemiology that readily ally with human biology and anthropology. Persistent health challenges and disparities have established biocultural roots, and environment plays an integral role in physical development and function that form the bases of population health. Biomarkers have proven to be valuable tools for investigating biocultural bases of health disparities. Aims We apply recent insights from biology to consider how culture gets under the skin and evaluate the construct of embodiment. We analyze contrasting biomarker models and applications, and propose an integrated model for biomarkers. Three examples from the Great Smoky Mountains Study (GSMS) illustrate these points. Subjects and methods The longitudinal developmental epidemiological GSMS comprises a population-based sample of 1420 children with repeated measures including mental and physical health, life events, household conditions, and biomarkers for pubertal development and allostatic load. Results Analyses using biomarkers resolved competing explanations for links between puberty and depression, identified gender differences in stress at puberty, and revealed interactive effects of birthweight and postnatal adversity on risk for depression at puberty in girls. Conclusion An integrated biomarker model can both enrich epidemiology and illuminate biocultural pathways in population health. PMID:19381986

  18. Serum Biomarkers of (AntiOxidant Status for Epidemiological Studies

    Directory of Open Access Journals (Sweden)

    Eugène Jansen

    2015-11-01

    Full Text Available In this review, we disclose a selection of serum/plasma biomarkers of (antioxidant status related to nutrition, which can be used for measurements in large-scale epidemiological studies. From personal experience, we have come to the following proposal of a set of biomarkers for nutritional intake, (antioxidant status, and redox status. We have selected the individual antioxidant vitamins E and A, and the carotenoids which can be measured in large series by HPLC. In addition, vitamin C was selected, which can be measured by an auto-analyzer or HPLC. As a biomarker for oxidative stress, the ROM assay (reactive oxygen metabolites was selected; for the redox status, the total thiol assay; and for the total antioxidant status the BAP assay (biological antioxidant potential. All of these biomarkers can be measured in large quantities by an auto-analyzer. Critical points in biomarker validation with respect to blood sampling, storage conditions, and measurements are discussed. With the selected biomarkers, a good set is presented for use in the risk assessment between nutrition and (chronic diseases in large-scale epidemiological studies. Examples of the successful application of these biomarkers in large international studies are presented.

  19. Current and Prospective Protein Biomarkers of Lung Cancer

    Science.gov (United States)

    Zamay, Tatiana N.; Zamay, Galina S.; Kolovskaya, Olga S.; Zukov, Ruslan A.; Petrova, Marina M.; Gargaun, Ana; Berezovski, Maxim V.

    2017-01-01

    Lung cancer is a malignant lung tumor with various histological variants that arise from different cell types, such as bronchial epithelium, bronchioles, alveoli, or bronchial mucous glands. The clinical course and treatment efficacy of lung cancer depends on the histological variant of the tumor. Therefore, accurate identification of the histological type of cancer and respective protein biomarkers is crucial for adequate therapy. Due to the great diversity in the molecular-biological features of lung cancer histological types, detection is impossible without knowledge of the nature and origin of malignant cells, which release certain protein biomarkers into the bloodstream. To date, different panels of biomarkers are used for screening. Unfortunately, a uniform serum biomarker composition capable of distinguishing lung cancer types is yet to be discovered. As such, histological analyses of tumor biopsies and immunohistochemistry are the most frequently used methods for establishing correct diagnoses. Here, we discuss the recent advances in conventional and prospective aptamer based strategies for biomarker discovery. Aptamers like artificial antibodies can serve as molecular recognition elements for isolation detection and search of novel tumor-associated markers. Here we will describe how these small synthetic single stranded oligonucleotides can be used for lung cancer biomarker discovery and utilized for accurate diagnosis and targeted therapy. Furthermore, we describe the most frequently used in-clinic and novel lung cancer biomarkers, which suggest to have the ability of differentiating between histological types of lung cancer and defining metastasis rate. PMID:29137182

  20. 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. © 2015 American Society for Nutrition.