WorldWideScience

Sample records for suppressive drug interactions

  1. Photoperiodic suppression of drug reinstatement.

    Science.gov (United States)

    Sorg, B A; Stark, G; Sergeeva, A; Jansen, H T

    2011-03-10

    The rewarding influence of drugs of abuse varies with time of day and appears to involve interactions between the circadian and the mesocorticolimbic dopamine systems. The circadian system is also intimately involved in measuring daylength. Thus, the present study examined the impact of changing daylength (photoperiod) on cocaine-seeking behaviors. Male Sprague-Dawley rats were trained and tested on a 12L:12D light:dark schedule for cocaine-induced reinstatement of conditioned place preference (CPP) at three times of day (Zeitgeber time (ZT): 4, 12, and 20) to determine a preference score. Rats were then shifted to either shorter (6L:18D) or longer (18L:6D) photoperiods and then to constant conditions, re-tested for cocaine-induced reinstatement under each different condition, and then returned to their original photoperiod (12L:12D) and tested once more. Rats exhibited a circadian profile of preference score in constant darkness with a peak at 12 h after lights-off. At both ZT4 and ZT20, but not at ZT12, shorter photoperiods profoundly suppressed cocaine reinstatement, which did not recover even after switching back to 12L:12D. In contrast, longer photoperiods did not alter reinstatement. Separate studies showed that the suppression of cocaine reinstatement was not due to repeated testing. In an additional experiment, we examined the photoperiodic regulation of tyrosine hydroxylase (TH) and dopamine transporter (DAT) proteins in drug-naive rats. These results revealed photoperiodic modulation of proteins in the prefrontal cortex and dorsal striatum, but not in the nucleus accumbens or ventral tegmental area. Together, these findings add further support to the circadian genesis of cocaine-seeking behaviors and demonstrate that drug-induced reinstatement is modulated by photoperiod. Furthermore, the results suggest that photoperiod partly contributes to the seasonal expression of certain drug-related behaviors in humans living at different latitudes and thus our

  2. Drug Interaction API

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Interaction API is a web service for accessing drug-drug interactions. No license is needed to use the Interaction API. Currently, the API uses DrugBank for its...

  3. Suppression of stratified explosive interactions

    Energy Technology Data Exchange (ETDEWEB)

    Meeks, M.K.; Shamoun, B.I.; Bonazza, R.; Corradini, M.L. [Wisconsin Univ., Madison, WI (United States). Dept. of Nuclear Engineering and Engineering Physics

    1998-01-01

    Stratified Fuel-Coolant Interaction (FCI) experiments with Refrigerant-134a and water were performed in a large-scale system. Air was uniformly injected into the coolant pool to establish a pre-existing void which could suppress the explosion. Two competing effects due to the variation of the air flow rate seem to influence the intensity of the explosion in this geometrical configuration. At low flow rates, although the injected air increases the void fraction, the concurrent agitation and mixing increases the intensity of the interaction. At higher flow rates, the increase in void fraction tends to attenuate the propagated pressure wave generated by the explosion. Experimental results show a complete suppression of the vapor explosion at high rates of air injection, corresponding to an average void fraction of larger than 30%. (author)

  4. CONCEPT OF DRUG INTERACTION

    OpenAIRE

    Singh Nidhi

    2012-01-01

    Drug interaction is an increasingly important cause of adverse reactions (ADR), and is the modification of the effect of one drug (object) by the prior or concomitant administration of another drug (precipitant drug). Drug interaction may either enhance or diminish the intended effect of one or both drugs. For example severe haemorrhage may occur if warfarin and salicylates (asprin) are combined. Precipitant drugs modify the object drug's absorption, distribution, metabolism, excretion or act...

  5. Suppressive drug combinations and their potential to combat antibiotic resistance.

    Science.gov (United States)

    Singh, Nina; Yeh, Pamela J

    2017-11-01

    Antibiotic effectiveness often changes when two or more such drugs are administered simultaneously and unearthing antibiotic combinations with enhanced efficacy (synergy) has been a longstanding clinical goal. However, antibiotic resistance, which undermines individual drugs, threatens such combined treatments. Remarkably, it has emerged that antibiotic combinations whose combined effect is lower than that of at least one of the individual drugs can slow or even reverse the evolution of resistance. We synthesize and review studies of such so-called 'suppressive interactions' in the literature. We examine why these interactions have been largely disregarded in the past, the strategies used to identify them, their mechanistic basis, demonstrations of their potential to reverse the evolution of resistance and arguments for and against using them in clinical treatment. We suggest future directions for research on these interactions, aiming to expand the basic body of knowledge on suppression and to determine the applicability of suppressive interactions in the clinic.

  6. Food-drug interactions

    DEFF Research Database (Denmark)

    Schmidt, Lars E; Dalhoff, Kim

    2002-01-01

    Interactions between food and drugs may inadvertently reduce or increase the drug effect. The majority of clinically relevant food-drug interactions are caused by food-induced changes in the bioavailability of the drug. Since the bioavailability and clinical effect of most drugs are correlated......, the bioavailability is an important pharmacokinetic effect parameter. However, in order to evaluate the clinical relevance of a food-drug interaction, the impact of food intake on the clinical effect of the drug has to be quantified as well. As a result of quality review in healthcare systems, healthcare providers...... are increasingly required to develop methods for identifying and preventing adverse food-drug interactions. In this review of original literature, we have tried to provide both pharmacokinetic and clinical effect parameters of clinically relevant food-drug interactions. The most important interactions are those...

  7. Drug interactions with sunitinib.

    Science.gov (United States)

    Bilbao-Meseguer, Idoia; Jose, Begoña San; Lopez-Gimenez, Leocadio R; Gil, Maria A; Serrano, Laura; Castaño, Mikel; Sautua, Saioa; Basagoiti, Amaya De; Belaustegui, Ainhoa; Baza, Beatriz; Baskaran, Zuriñe; Bustinza, Alazne

    2015-02-01

    Sunitinib is a tyrosine kinase inhibitor indicated for the treatment of gastrointestinal stromal tumor, advanced renal cell carcinoma, and pancreatic neuroendocrine tumors. The aim of this article is to describe the pharmacological interactions between sunitinib and commonly prescribed drugs. We reviewed available information on pharmacological interactions between sunitinib and concomitantly prescribed drugs. Drugs were grouped into different therapeutic groups according to the Anatomical Therapeutic Chemical (ATC) classification. Sunitinib interacts with CYP3A4 inducers or inhibitors and with P-glycoprotein and ABCG2 substrates. Pharmacodynamic interactions with drugs have also been found. Current information on drug interactions between sunitinib and other drugs is scarce and most of the times it is difficult to apply to clinical practice. Even so, this difficulty in managing drug interactions should not be a reason to ignore them as they can help to explain intolerances and treatment failures. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

  8. Suppression of Drug Resistance in Dengue Virus

    Science.gov (United States)

    Mateo, Roberto; Nagamine, Claude M.

    2015-01-01

    ABSTRACT Dengue virus is a major human pathogen responsible for 400 million infections yearly. As with other RNA viruses, daunting challenges to antiviral design exist due to the high error rates of RNA-dependent RNA synthesis. Indeed, treatment of dengue virus infection with a nucleoside analog resulted in the expected genetic selection of resistant viruses in tissue culture and in mice. However, when the function of the oligomeric core protein was inhibited, no detectable selection of drug resistance in tissue culture or in mice was detected, despite the presence of drug-resistant variants in the population. Suppressed selection of drug-resistant virus correlated with cooligomerization of the targeted drug-susceptible and drug-resistant core proteins. The concept of “dominant drug targets,” in which inhibition of oligomeric viral assemblages leads to the formation of drug-susceptible chimeras, can therefore be used to prevent the outgrowth of drug resistance during dengue virus infection. PMID:26670386

  9. Drug-radiopharmaceutical interactions

    International Nuclear Information System (INIS)

    Hladik, W.B.; Ponto, J.A.; Stathis, V.J.

    1985-01-01

    Patients seen in the nuclear medicine department have a wide variety of disorders and, consequently, may be receiving any number of therapeutic drugs. For this reason, nuclear medicine professionals should be aware of the potential effects that these pharmacologic agents may have on the bio-distribution of subsequently administered radiopharmaceuticals, commonly referred to as ''drug-radiopharmaceutical interactions.'' Compared with the quantity of literature written about interactions between various therapeutic drugs, the information available on drug-radiopharmaceutical interactions is scarce. However, there has been increasing interest in this subject, particularly during the past five years. Some of the reported interactions are used intentionally to add a new dimension to the nuclear medicine study and increase its diagnostic capabilities, i.e., pharmacologic intervention. These beneficial ''interactions'' are discussed in detail in several other chapters of this book. Other interactions, however, cause changes in the normal distribution of radiopharmaceuticals, which may interfere with the diagnostic utility of various nuclear medicine procedures. The latter group of interactions is the focus of this chapter

  10. Cushing's syndrome with adrenal suppression induced by inhaled budesonide due to a ritonavir drug interaction in a woman with HIV infection.

    Science.gov (United States)

    Yoganathan, K; David, L; Williams, C; Jones, K

    2012-07-01

    A 48-year-old woman with HIV infection developed Cushingoid features while she was taking ritonavir-boosted darunavir. Cushing's syndrome was confirmed due to the drug interaction between ritonavir and budesonide. Diagnosis of iatrogenic Cushing's syndrome in HIV-positive patients who are on ritonavir-boosted protease inhibitors (PIs) presents a clinical challenge due to similar clinical features of lipohypertrophy related to ritonavir-boosted PIs. Although this complication has been widely described with the use of inhaled fluticasone, the interaction with inhaled budesonide at therapeutic dose is not widely recognized.

  11. DRUG INTERACTIONS WITH TUBERCULOSIS THERAPY

    African Journals Online (AJOL)

    Kurt

    The most important adverse drug-drug interactions occur with drugs that have seri- ous toxicity and a low therapeutic index, where relatively small changes in drug level can have significant adverse consequences. Additionally, drug-drug interac- tions can be clinically important if the disease being controlled with the drug is.

  12. DRUG INTERACTIONS WITH DIAZEPAM

    Directory of Open Access Journals (Sweden)

    Zoran Bojanić

    2011-06-01

    Full Text Available Diazepam is a benzodiazepine derivative with anxyolitic, anticonvulsant, hypnotic, sedative, skeletal muscle relaxant, antitremor, and amnestic activity. It is metabolized in the liver by the cytochrome P (CYP 450 enzyme system. Diazepam is N-demethylated by CYP3A4 and CYP2C19 to the active metabolite N-desmethyldiazepam, and is hydroxylated by CYP3A4 to the active metabolite temazepam. N-desmethyl-diazepam and temazepam are both further metabolized to oxazepam. Concomitant intake of inhibitors or inducers of the CYP isozymes involved in the biotransformation of diazepam may alter plasma concentrations of this drug, although this effect is unlikely to be associated with clinically relevant interactions.The goal of this article was to review the current literature on clinically relevant pharmacokinetic drug interactions with diazepam.A search of MEDLINE and EMBASE was conducted for original research and review articles published in English between January 1971. and May 2011. Among the search terms were drug interactions, diazepam, pharmacokinetics, drug metabolism, and cytochrome P450. Only articles published in peer-reviewed journals were included, and meeting abstracts were excluded. The reference lists of relevant articles were hand-searched for additional publications.Diazepam is substantially sorbed by the plastics in flexible containers, volume control set chambers, and tubings of intravenous administration sets. Manufacturers recommend not mixing with any other drug or solution in syringe or solution, although diazepam is compatible in syringe with cimetidine and ranitidine, and in Y-site with cisatracurium, dobutamine, fentanyl, hydromorphone, methadone, morphine, nafcillin, quinidine gluconate, remifentanil, and sufentanil. Diazepam is compatible with: dextrose 5% in water, Ringers injection, Ringers injection lactated and sodium chloride 0.9%. Emulsified diazepam is compatible with Intralipid and Nutralipid.Diazepam has low potential

  13. Drug repurposing based on drug-drug interaction.

    Science.gov (United States)

    Zhou, Bin; Wang, Rong; Wu, Ping; Kong, De-Xin

    2015-02-01

    Given the high risk and lengthy procedure of traditional drug development, drug repurposing is gaining more and more attention. Although many types of drug information have been used to repurpose drugs, drug-drug interaction data, which imply possible physiological effects or targets of drugs, remain unexploited. In this work, similarity of drug interaction was employed to infer similarity of the physiological effects or targets for the drugs. We collected 10,835 drug-drug interactions concerning 1074 drugs, and for 700 of them, drug similarity scores based on drug interaction profiles were computed and rendered using a drug association network with 589 nodes (drugs) and 2375 edges (drug similarity scores). The 589 drugs were clustered into 98 groups with Markov Clustering Algorithm, most of which were significantly correlated with certain drug functions. This indicates that the network can be used to infer the physiological effects of drugs. Furthermore, we evaluated the ability of this drug association network to predict drug targets. The results show that the method is effective for 317 of 561 drugs that have known targets. Comparison of this method with the structure-based approach shows that they are complementary. In summary, this study demonstrates the feasibility of drug repurposing based on drug-drug interaction data. © 2014 John Wiley & Sons A/S.

  14. Text mining for drug-drug interaction.

    Science.gov (United States)

    Wu, Heng-Yi; Chiang, Chien-Wei; Li, Lang

    2014-01-01

    In order to understand the mechanisms of drug-drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature. Also the lack of an appropriate PK ontology and a well-annotated PK corpus, which provide the background knowledge and the criteria of determining DDI, respectively, lead to the difficulty of developing DDI text mining tools for PK data collection from the literature and data integration from multiple databases.To conquer the issues, we constructed a comprehensive pharmacokinetics ontology. It includes all aspects of in vitro pharmacokinetics experiments, in vivo pharmacokinetics studies, as well as drug metabolism and transportation enzymes. Using our pharmacokinetics ontology, a PK corpus was constructed to present four classes of pharmacokinetics abstracts: in vivo pharmacokinetics studies, in vivo pharmacogenetic studies, in vivo drug interaction studies, and in vitro drug interaction studies. A novel hierarchical three-level annotation scheme was proposed and implemented to tag key terms, drug interaction sentences, and drug interaction pairs. The utility of the pharmacokinetics ontology was demonstrated by annotating three pharmacokinetics studies; and the utility of the PK corpus was demonstrated by a drug interaction extraction text mining analysis.The pharmacokinetics ontology annotates both in vitro pharmacokinetics experiments and in vivo pharmacokinetics studies. The PK corpus is a highly valuable resource for the text mining of pharmacokinetics parameters and drug interactions.

  15. Drug interactions with oral sulphonylurea hypoglycaemic drugs.

    Science.gov (United States)

    Hansen, J M; Christensen, L K

    1977-01-01

    The effect of the oral sulphonylurea hypoglycaemic drugs may be influenced by a large number of other drugs. Some of these combinations (e.g. phenylbutazone, sulphaphenazole) may result in cases of severe hypoglycaemic collapse. Tolbutamide and chlorpropamide should never be given to a patient without a prior careful check of which medicaments are already being given. Similarly, no drug should be given to a diabetic treated with tolbutamide and chlorpropamide without consideration of the possibility of interaction phenomena.

  16. Medication Interactions: Food, Supplements and Other Drugs

    Science.gov (United States)

    ... nervousness and hyperactivity. Drugs with Other Drugs Drug-drug interactions occur when two or more drugs react with ... foods, beverages or other products? What are possible drug interaction signs I should know about? How will the ...

  17. A network inference method for large-scale unsupervised identification of novel drug-drug interactions.

    Directory of Open Access Journals (Sweden)

    Roger Guimerà

    Full Text Available Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others. Here we present a network inference algorithm to predict uncharacterized drug-drug interactions. Our algorithm takes, as its only input, sets of previously reported interactions, and does not require any pharmacological or biochemical information about the drugs, their targets or their mechanisms of action. Because the models we use are abstract, our approach can deal with adverse interactions, synergistic/antagonistic/suppressing interactions, or any other type of drug interaction. We show that our method is able to accurately predict interactions, both in exhaustive pairwise interaction data between small sets of drugs, and in large-scale databases. We also demonstrate that our algorithm can be used efficiently to discover interactions of new drugs as part of the drug discovery process.

  18. Central nervous system stimulants and drugs that suppress appetite

    DEFF Research Database (Denmark)

    Aagaard, Lise

    2014-01-01

    of the January 2012 to June 2013 publications on central nervous system stimulants and drugs that suppress appetite covers amphetamines (including metamfetamine, paramethoxyamfetamine and paramethoxymetamfetamine), fenfluramine and benfluorex, atomoxetine, methylphenidate, modafinil and armodafinil...

  19. My Cousin, My Enemy: quasispecies suppression of drug resistance

    Science.gov (United States)

    Kirkegaard, Karla; van Buuren, Nicholas J; Mateo, Roberto

    2017-01-01

    If a freshly minted genome contains a mutation that confers drug resistance, will it be selected in the presence of the drug? Not necessarily. During viral infections, newly synthesized viral genomes occupy the same cells as parent and other progeny genomes. If the antiviral target is chosen so that the drug-resistant progeny’s growth is dominantly inhibited by the drug-susceptible members of its intracellular family, its outgrowth can be suppressed. Precedent for ‘dominant drug targeting’ as a deliberate approach to suppress the outgrowth of inhibitor-resistant viruses has been established for envelope variants of vesicular stomatitis virus and for capsid variants of poliovirus and dengue virus. Small molecules that stabilize oligomeric assemblages are a promising means to an unfit family to destroy the effectiveness of a newborn drug-resistant relative due to the co-assembly of drug-susceptible and drug-resistant monomers. PMID:27764731

  20. [Drug interactions in pain therapy].

    Science.gov (United States)

    Syhr, K M J; Oertel, B G; Geisslinger, G

    2015-12-01

    Pain is one of the most common reasons for consulting a physician. Chronic pain patients often suffer from a variety of comorbidities, such as depression and anxiety and they are therefore often simultaneously treated with more than one drug. The probability of drug interactions increases with every additional drug. A systematic internet and literature search up to February 2015 was carried out. Systematic lists were included. In addition, the drug prescription information sheets were used and an internet search via Pubmed and google.com was carried out for drugs alone and in combination in order to find substance-specific interactions. A differentiation is made between pharmaceutical, pharmacodynamic and pharmacokinetic drug interactions. Pharmaceutical interactions are caused by chemical, physical or physicochemical incompatibility of drugs or adjuvants used. These can even occur outside the body and during concomitant administration via the same route. A pharmacodynamic interaction in pain management is for example the additive sedative effect of opioids and benzodiazepines when taken together. Pharmacokinetic interactions occur during the absorption, distribution, metabolism and in the elimination phases. Many drug interactions can be avoided by careful and continuous evaluation of pharmacotherapy and if necessary its adaptation; however, a sound knowledge of the underlying pharmacological mechanisms and the properties of currently used analgesics is necessary.

  1. Drug-mineral interactions

    Energy Technology Data Exchange (ETDEWEB)

    Kramer, L.

    1986-03-01

    The effect of drugs such as glucocorticoids and thyroid extract on calcium metabolism is unknown. However, several other medications affect the excretion and intestinal absorption of calcium. A controlled study was carried out to investigate these aspects. Urinary calcium was determined for 3 months during the long-term intake of the antituberculous drug isoniazid (INH) and of the antibiotic tetracycline. The effect of the diuretics furosemide and hydrochlorothiazide, of several aluminum-containing antacids, of thyroid extract and of corticosteroids was also studied. Metabolic balances of calcium, phosphorus, magnesium and zinc were determined, as well as the intestinal absorption of calcium using Ca 47. Plasma levels, urinary and fecal excretions of Ca 47 were determined. All drugs tested increased urinary calcium except for the diuretic hydrochlorothiazide. Regarding the effect of corticosteroids: the intestinal absorption of calcium was unchanged after the short-term use and was very high after long-term use. The studies have shown that several commonly used drugs induce an increase in urinary calcium excretion which may contribute to calcium loss, if this increase persists for prolonged periods of time. Urinary excretions of phosphorus, magnesium and zinc increased in some of the studies.

  2. Drug-mineral interactions

    International Nuclear Information System (INIS)

    Kramer, L.

    1986-01-01

    The effect of drugs such as glucocorticoids and thyroid extract on calcium metabolism is unknown. However, several other medications affect the excretion and intestinal absorption of calcium. A controlled study was carried out to investigate these aspects. Urinary calcium was determined for 3 months during the long-term intake of the antituberculous drug isoniazid (INH) and of the antibiotic tetracycline. The effect of the diuretics furosemide and hydrochlorothiazide, of several aluminum-containing antacids, of thyroid extract and of corticosteroids was also studied. Metabolic balances of calcium, phosphorus, magnesium and zinc were determined, as well as the intestinal absorption of calcium using Ca 47. Plasma levels, urinary and fecal excretions of Ca 47 were determined. All drugs tested increased urinary calcium except for the diuretic hydrochlorothiazide. Regarding the effect of corticosteroids: the intestinal absorption of calcium was unchanged after the short-term use and was very high after long-term use. The studies have shown that several commonly used drugs induce an increase in urinary calcium excretion which may contribute to calcium loss, if this increase persists for prolonged periods of time. Urinary excretions of phosphorus, magnesium and zinc increased in some of the studies

  3. Drug-drug interactions : from knowledge base to clinical impact

    OpenAIRE

    Andersson, Marine

    2014-01-01

    Drug usage has increased steadily, and the more drugs used, the higher the risk for adverse effects or loss of effect due to drug-drug interactions. For drug prescribers it is difficult to know what drugs a patient is taking and whether they interact. Computerizing of health care records has made it possible to connect patients’ drug lists to clinical decision support systems giving the prescriber information about e.g. drug-drug interactions, duplicated prescriptions and ...

  4. Drug-model membrane interactions

    International Nuclear Information System (INIS)

    Deniz, Usha K.

    1994-01-01

    In the present day world, drugs play a very important role in medicine and it is necessary to understand their mode of action at the molecular level, in order to optimise their use. Studies of drug-biomembrane interactions are essential for gaining such as understanding. However, it would be prohibitively difficult to carry out such studies, since biomembranes are highly complex systems. Hence, model membranes (made up of these lipids which are important components of biomembranes) of varying degrees of complexity are used to investigate drug-membrane interactions. Bio- as well as model-membranes undergo a chain melting transition when heated, the chains being in a disordered state above the transition point, T CM . This transition is of physiological importance since biomembranes select their components such that T CM is less than the ambient temperature but not very much so, so that membrane flexibility is ensured and porosity, avoided. The influence of drugs on the transition gives valuable clues about various parameters such as the location of the drug in the membrane. Deep insights into drug-membrane interactions are obtained by observing the effect of drugs on membrane structure and the mobilities of the various groups in lipids, near T CM . Investigation of such changes have been carried out with several drugs, using techniques such as DSC, XRD and NMR. The results indicate that the drug-membrane interaction not only depends on the nature of drug and lipids but also on the form of the model membrane - stacked bilayer or vesicles. The light that these results shed on the nature of drug-membrane interactions is discussed. (author). 13 refs., 13 figs., 1 tab

  5. [Drug interactions in chronic prescription].

    Science.gov (United States)

    Comet, D; Casajuana, J; Bordas, J M; Fuentes, M A; Arnáiz, J A; Núñez, B; Pou, R

    1997-06-30

    Application of computerized program for detection of potential drug interactions (PDI) in chronic prescriptions in four primary care centers. To evaluate the clinical significance of PDI identified according to clinical criterions. An observational crossover study. Clutat Vella health district (City of Barcelona). Using information of Consejo General de Colegios Oficiales de Farmaceuticos databases and the chronic prescriptions database of the primary care centers, computerized drug-interaction system have been developed for detection of PDI in patients. A panel of primary care physicians and clinical pharmacists developed criteria that were used to evaluate the clinical significance of PDI. 9840 Cards of Authorized Prescription (CAP) were analyzed, 36108 medicaments and 42877 drugs. A total of 2140 patients were involved for a total of 3406 PDI, 21.75% of patients with CAP. Clinical signification for the panel was found in 40.07% of these 3406 PIF; 3.78% were suggest to avoid the association drugs. The incidence of PDI with clinical signification are lower than other studies of the literature; it suggest a appropriate knowledge of drug prescription. The application of computerized program make much more easy the detection of adverse drug interactions in chronic prescription.

  6. [Drug-Drug Interactions with Consideration of Pharmacogenetics].

    Science.gov (United States)

    Ozawa, Shogo

    2018-01-01

     Elderly patients often suffer from a variety of diseases and therefore may be prescribed several kinds of drugs. Interactions between these drugs may cause problems in some patients. Guidelines for drug interactions were released on July 8, 2014 "Drug Interaction Guideline for Drug Development and Labeling Recommendations (Final Draft)". These guidelines include the theoretical basis for evaluating the mechanisms of drug interaction, the possible extent of drug interactions, and take into consideration special populations (e.g., infants, children, elderly patients, patients with hepatic or renal dysfunction, and subjects with minor deficient alleles for drug metabolizing enzymes and drug transporters). In this symposium article, I discuss this last special population: altered drug metabolism and drug interactions in subjects with minor alleles of genes encoding deficient drug metabolizing enzymes. I further discuss a drug label for eliglustat (Cerdelga) with instructions for patients with ultra-rapid, extensive, intermediate, and poor metabolizer phenotypes that arise from different CYP2D6 gene alleles.

  7. Potential drug-drug interaction in Mexican patients with schizophrenia.

    Science.gov (United States)

    Ocaña-Zurita, María Conchita; Juárez-Rojop, Isela E; Genis, Alma; Tovilla-Zárate, Carlos Alfonso; González-Castro, Thelma Beatriz; Lilia López-Narváez, María; de la O de la O, María Elena; Nicolini, Humberto

    2016-11-01

    The aim of this study was to observe potential drug-drug interactions in the medication of Mexican schizophrenic patients. We performed a retrospective and cross-sectional study that was carried out in a psychiatric clinic. Only the prescriptions of patients with schizophrenia whose diagnoses were based on the DSM-IV instrument were included in this study. The Drug Interactions Checker software ( http://www.drugs.com/drug_interactions.html ) was used in this study to analyse potential drug-drug interactions. In total, 86 of 126 patients were at risk of potential drug-drug interactions. Haloperidol and biperiden was the most common drug pair of 232 pairs evaluated. In our study, 13.8% of drug-drug interaction showed a major level of severity, whereas in 83.2%, the interaction was moderate. Finally, central nervous system (CNS) depression and anticholinergic effect were the main possible effects of drug-drug interaction. Our results revealed a high number of patients with schizophrenia receiving two or more drugs. The potential drug-drug interactions observed in the Mexican population are consistent with the concomitant use of antipsychotics, benzodiazepines, and antidepressants prescribed in schizophrenia that could cause central nervous system (CNS) depression and anticholinergic effect. Drug-drug interaction must be considered when the patient with schizophrenia is medicated.

  8. Radiation and platinum drug interaction

    International Nuclear Information System (INIS)

    Nias, A.H.W.

    1985-01-01

    The ideal platinum drug-radiation interaction would achieve radiosensitization of hypoxic tumour cells with the use of a dose of drug which is completely non-toxic to normal tissues. Electron-affinic agents are employed with this aim, but the commoner platinum drugs are only weakly electron-affinic. They do have a quasi-alkylating action however, and this DNA targeting may account for the radiosensitizing effect which occurs with both pre- and post-radiation treatments. Because toxic drug dosage is usually required for this, the evidence of the biological responses to the drug and to the radiation, as well as to the combination, requires critical analysis before any claim of true enhancement, rather than simple additivity, can be accepted. The amount of enhancement will vary with both the platinum drug dose and the time interval between drug administration and radiation. Clinical schedules may produce an increase in tumour response and/or morbidity, depending upon such dose and time relationships. (author)

  9. Optical suppression of drug-evoked phasic dopamine release

    Directory of Open Access Journals (Sweden)

    James Edgar Mccutcheon

    2014-09-01

    Full Text Available Brief fluctuations in dopamine concentration (dopamine transients play a key role in behavior towards rewards, including drugs of abuse. Drug-evoked dopamine transients may result from actions at both dopamine cell bodies and dopamine terminals. Inhibitory opsins can be targeted to dopamine neurons permitting their firing activity to be suppressed. However, as dopamine transients can become uncoupled from firing, it is unknown whether optogenetic hyperpolarization at the level of the soma is able to suppress dopamine transients. Here, we used in vivo fast-scan cyclic voltammetry to record transients evoked by cocaine and raclopride in nucleus accumbens (NAc of urethane-anesthetized rats. We targeted halorhodopsin (NpHR specifically to dopamine cells by injecting Cre-inducible virus into ventral tegmental area (VTA of transgenic rats that expressed Cre recombinase under control of the tyrosine hydroxylase promoter (TH-Cre+ rats. Consistent with previous work, co-administration of cocaine and raclopride led to the generation of dopamine transients in NAc shell. Illumination of VTA with laser strongly suppressed the frequency of transients in NpHR-expressing rats, but not in control rats. Laser did not have any effect on amplitude of transients. Thus, optogenetics can effectively reduce the occurrence of drug-evoked transients and is therefore a suitable approach for studying the functional role of such transients in drug-associated behavior.

  10. Drug interaction: Omeprazole and Phenprocoumon

    Directory of Open Access Journals (Sweden)

    Müller Willi

    2001-04-01

    Full Text Available Abstract Background Oral anticoagulants like the coumarin derivatives are characterised by a particularly narrow therapeutic range. Any interfering co-medication can pose a challenge to establishing a stable anticoagulant dosage regimen and thus present a serious risk for the patient. Here we describe two cases of patients on anticoagulant therapy that suggest possible drug interactions between phenprocoumon and the proton pump inhibitor omeprazole. Results In both patients, the International Normalised Ratio (INR increased beyond the therapeutic range after they were given omeprazole for the treatment of gastrointestinal symptoms. The INR returned to therapeutic levels after the phenprocoumon dose was reduced (Case 1 and omeprazole discontinued (Case 2. Conclusions The increased anticoagulant activity of phenprocoumon observed in the two described cases and the known interaction potential of omeprazole suggest that the clearance of phenprocoumon may have been reduced due to competitive inhibition of its degradation by omeprazole. Drug interactions may be one of the reasons for the difficulties encountered with some patients in establishing a stable anticoagulant therapy. Physicians should carefully review any concurrently used medication and if possible opt for drugs with a low interaction potential.

  11. Identification of clinically significant drug-drug interactions in cardiac ...

    African Journals Online (AJOL)

    Purpose: To identify clinically significant potential drug-drug interactions in cardiac intensive care units of two tertiary care hospitals in Peshawar, Pakistan, and to compare the various potential drug-drug interactions related parameters between the government and private hospitals included in the study. Method: A ...

  12. Hazards and Benefits of Drug Interaction

    Science.gov (United States)

    Labianca, Dominick A.

    1978-01-01

    Most cases of drug toxicity are direct consequences of drug misuse--either intentional or inadvertent. Discusses two types of drug interaction--synergistic and antagonistic. The former produces a combined effect greater than the sum of the effects of the individual drugs concerned; the latter is produced when the desired action of one drug is…

  13. Potential drug-drug interactions on in-patient medication ...

    African Journals Online (AJOL)

    Background: Drug-drug interactions (DDIs) are an important cause of adverse drug reactions. The pharmacoepidemiology of such interactions in hospitals in Uganda is not known. Objectives: To determine the prevalence, clinical importance and factors associated with potential DDIs at Mbarara Regional Referral Hospital ...

  14. Interaction network among functional drug groups

    Science.gov (United States)

    2013-01-01

    Background More attention has been being paid to combinatorial effects of drugs to treat complex diseases or to avoid adverse combinations of drug cocktail. Although drug interaction information has been increasingly accumulated, a novel approach like network-based method is needed to analyse that information systematically and intuitively Results Beyond focussing on drug-drug interactions, we examined interactions between functional drug groups. In this work, functional drug groups were defined based on the Anatomical Therapeutic Chemical (ATC) Classification System. We defined criteria whether two functional drug groups are related. Then we constructed the interaction network of drug groups. The resulting network provides intuitive interpretations. We further constructed another network based on interaction sharing ratio of the first network. Subsequent analysis of the networks showed that some features of drugs can be well described by this kind of interaction even for the case of structurally dissimilar drugs. Conclusion Our networks in this work provide intuitive insights into interactions among drug groups rather than those among single drugs. In addition, information on these interactions can be used as a useful source to describe mechanisms and features of drugs. PMID:24555875

  15. Purulent pericarditis in a dog administered immune-suppressing drugs

    International Nuclear Information System (INIS)

    Mohri, T.; Takashima, K.; Yamane, T.; Sato, H.; Yamane, Y.

    2009-01-01

    A 5-year-old castrated mongrel dog was brought to our hospital with anorexia and vomiting. Laboratory testing revealed immune-mediated hemolytic anemia (IMHA), and so treatment was initiated with multiple immune-suppressing drugs, achieving partial remission from IMHA. However, cardiac tamponade due to purulent pericarditis was identified as a secondary disease. Culture of pericardial fluid yielded numerous Candida albicans and multidrug-resistant Acinetobacter sp. Pericardiocentesis was performed, and the condition of the dog improved. However, the dog died the next day

  16. Interaction Effects of Students, Drugs and Alienation

    Science.gov (United States)

    Jones, Woodrow, Jr.

    1977-01-01

    This study examined the interaction effect of students, drugs, and alienation in a large university, i.e., the linkages of both social and political alienation with drug behavior. The interaction terms which composed these forms of alienation were evaluated as to their comparative ability to produce drug behavior. (Author)

  17. Suppression of Tumor Angiogenesis by Nonsteroidal Anti-Inflammatory Drugs: A New Function for Old Drugs

    Directory of Open Access Journals (Sweden)

    Curzio Raegg

    2001-01-01

    Full Text Available There is solid epidemiological evidence demonstrating that the regular use of nonsteroidal anti-inflammatory drugs (NSAIDs reduces the risk of developing colorectal cancer, and to a lesser extent gastric and esophageal cancers[1]. Importantly, NSAIDs suppress colon polyp formation and progression in patients diagnosed with familial adenomatous polyposis coli (APC[2]. In many animal studies, NSAIDs have been shown to prevent tumor formation and slow tumor progression, thus confirming and extending the clinical observations[3,4,5]. Recent findings have demonstrated that NSAIDs inhibit angiogenesis, suggesting that the tumor suppressive activity of these drugs may be due, at least in part, to their ability to inhibit tumor angiogenesis[6]. The study of the mechanism by which NSAIDs suppress tumor angiogenesis, is matter of intense research.

  18. Oncology nurses awareness of drug interactions

    Directory of Open Access Journals (Sweden)

    Azize Karahan

    2015-01-01

    Full Text Available Objective: The aim of this study was to determine oncology nurses awareness of drug interactions. Methods: This descriptive study was conducted with nurses working in the oncology clinics who are a member of Oncology Nursing Association of Turkey. A total of 115 nurses (response rate %20 were responded to the online survey that consists of 28 questions. Results: The mean age of the nurses was 33 ± 6.8. The majority of nurses work in university hospital (60% as a clinical nurse (62.6% and have a Bachelor Degree in Nursing (63.5%. The mean working years in oncology was 4 years. Half of them stated receiving information on drug interactions mostly through in-service education and courses/congresses in last 5 years. The majority of them (84.3% indicated that they are considering the possibility of drug interactions when they are scheduling the medication administration time. More than half of the responders (59.1% encountered drug interactions; however, few explored drug interactions with food, drinks, and nutritional supplements. Their practices to assess possibility of drug interactions were reviewing the drug prospectus (78.3%; consulting with their colleagues (58.3% and searching on the available website (42.6% and looking at the drug interaction (39.1%. More than half (65.2% stated lack of any system to identify drug interactions in their workplace. Nearly half of them indicated to including the drug interaction into patient education mostly for food-drug (73.9% and drug-drug (63.5% interactions. Conclusions: Almost all indicated the needs for further education on drug interactions and suggested to have guideline/packet guide.

  19. Observational study of drug-drug interactions in oncological inpatients

    Directory of Open Access Journals (Sweden)

    María Sacramento Díaz-Carrasco

    2018-01-01

    Full Text Available Objective: To determine the prevalence of potential clinically relevant drug- drug interactions in adult oncological inpatients, as well as to describe the most frequent interactions. A standard database was used. Method: An observational, transversal, and descriptive study including patients admitted to the Oncology Service of a reference hospital. All prescriptions were collected twice a week during a month. They were analysed using Lexicomp® database, recording all interactions classified with a level of risk: C, D or X. Results: A total of 1 850 drug-drug interactions were detected in 218 treatments. The prevalence of treatments with at least one clinically relevant interaction was 95%, being 94.5% for those at level C and 26.1% for levels D and X. The drugs most commonly involved in the interactions detected were opioid analgesics, antipsychotics (butyrophenones, benzodiazepines, pyrazolones, glucocorticoids and heparins, whereas interactions with antineoplastics were minimal, highlighting those related to paclitaxel and between metamizole and various antineoplastics. Conclusions: The prevalence of clinically relevant drug-drug interactions rate was very high, highlighting the high risk percentage of them related to level of risk X. Due to the frequency of onset and potential severity, highlighted the concomitant use of central nervous system depressants drugs with risk of respiratory depression, the risk of onset of anticholinergic symptoms when combining morphine or haloperidol with butylscopolamine, ipratropium bromide or dexchlorpheniramine and the multiple interactions involving metamizole.

  20. Text Mining for Drug–Drug Interaction

    Science.gov (United States)

    Wu, Heng-Yi; Chiang, Chien-Wei; Li, Lang

    2015-01-01

    In order to understand the mechanisms of drug–drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature. Also the lack of an appropriate PK ontology and a well-annotated PK corpus, which provide the background knowledge and the criteria of determining DDI, respectively, lead to the difficulty of developing DDI text mining tools for PK data collection from the literature and data integration from multiple databases. To conquer the issues, we constructed a comprehensive pharmacokinetics ontology. It includes all aspects of in vitro pharmacokinetics experiments, in vivo pharmacokinetics studies, as well as drug metabolism and transportation enzymes. Using our pharmacokinetics ontology, a PK corpus was constructed to present four classes of pharmacokinetics abstracts: in vivo pharmacokinetics studies, in vivo pharmacogenetic studies, in vivo drug interaction studies, and in vitro drug interaction studies. A novel hierarchical three-level annotation scheme was proposed and implemented to tag key terms, drug interaction sentences, and drug interaction pairs. The utility of the pharmacokinetics ontology was demonstrated by annotating three pharmacokinetics studies; and the utility of the PK corpus was demonstrated by a drug interaction extraction text mining analysis. The pharmacokinetics ontology annotates both in vitro pharmacokinetics experiments and in vivo pharmacokinetics studies. The PK corpus is a highly valuable resource for the text mining of pharmacokinetics parameters and drug interactions. PMID:24788261

  1. Clopidogrel paclitaxel drug-drug interaction

    DEFF Research Database (Denmark)

    Agergaard, K; Mau-Sørensen, M; Bjerregaard Stage, T

    2017-01-01

    Paclitaxel is mainly eliminated by CYP2C8 in the liver. CYP2C8 is strongly inhibited by the clopidogrel metabolite acyl-β-D-glucuronide. To determine if this interaction has clinical relevance, we identified 48 patients treated with clopidogrel and paclitaxel using databases and a prescription...

  2. Identification of clinically significant drug-drug interactions in cardiac ...

    African Journals Online (AJOL)

    Drug Saf 2007; 16(6): 641-651. 12. Hamilton RA, Briceland LL, Andritz MH. Frequency of. Hospitalization after Exposure to Known Drug‐Drug. Interactions in a Medicaid Population. Pharmacother. 1998; 18(5): 1112-1120. 13. Micromedex T. Drug-Reax® system. 14. SPSS I. IBM SPSS statistics for Windows, version 20.0.

  3. Evaluation of drug-drug interactions among patients with chronic ...

    African Journals Online (AJOL)

    Introduction: The risk of drug-drug interactions (DDIs) is high in patients with chronic kidney disease (CKD) necessitating dose adjustments or the avoidance of drug combinations. This study aimed to evaluate DDIs among patients with CKD in the University of Nigeria Teaching Hospital (UNTH), Enugu, South-East Nigeria.

  4. ORIGINAL ARTICLES Prevalence of drug-drug interactions of ...

    African Journals Online (AJOL)

    2008-02-02

    Feb 2, 2008 ... Table II. Frequency of level 2 interactions between ARVs and the other drugs. Interacting ARVs and other drugs. N. %*. Didanosine + ketoconazole. 1. 0.91. Didanosine + ofloxacin. 1. 0.91. Didanosine + ciprofloxacin. 2. 1.82. Didanosine + iraconazole. 3. 2.73. Didanosine + ketoconazole. 2. 1.82. Efavirenz ...

  5. [Interactions of cytostatic agents with other drugs].

    Science.gov (United States)

    Sauter, C

    1991-08-31

    With the degree of polypharmacy currently practiced in the field of oncology, there are undoubtedly many drug interactions. In the present study the influence of "non-cytotoxic" drugs on anticancer drugs is discussed, but not the reverse. Not only is the augmentation (reversal of multidrug resistance) or the reduction of antitumor properties of cytotoxic drugs observed, but also cytostatic activities of "non-cytotoxic" drugs themselves. Examples are calmodulin inhibitors such as phenothiazines and tricyclic antidepressants. Interactions may also increase side effects of cytostatic drugs or even neutralize the antitumoral activity. To ensure that interactions are not overlooked, all medicaments being administered should be listed. It is, however, not feasible yet to determine serum concentrations of all the drugs given to the patient. The antitumor activity of supportive care could be evaluated in randomized studies (e.g. cytostatic drugs +/- antidepressants).

  6. Botanical-drug interactions: a scientific perspective.

    Science.gov (United States)

    de Lima Toccafondo Vieira, Manuela; Huang, Shiew-Mei

    2012-09-01

    There is a continued predisposition of concurrent use of drugs and botanical products. A general lack of knowledge of the interaction potential together with an under-reporting of botanical use poses a challenge for the health care providers and a safety concern for patients. Botanical-drug interactions increase the patient risk, especially with regard to drugs with a narrow therapeutic index (e.g., warfarin, cyclosporine, and digoxin). Examples of case reports and clinical studies evaluating botanical-drug interactions of commonly used botanicals in the US are presented. The potential pharmacokinetic and pharmacodynamic bases of such interactions are discussed, as well as the challenges associated with the interpretation of the available data and prediction of botanical-drug interactions. Recent FDA experiences with botanical products and interactions including labeling implications as a risk management strategy are highlighted. Georg Thieme Verlag KG Stuttgart · New York.

  7. Potential drug-drug interactions and adverse drug reactions in dermatological inpatients.

    Science.gov (United States)

    Koch, Lukas; Kränke, Birger; Aberer, Werner

    2016-11-01

    To present information on the frequency of drug-drug interactions and adverse drug reactions, and to provide assistance on how to minimize these major problems in the pharmacological treatment of dermatological inpatients. The medications given to 1,099 dermatological inpatients were retrospectively analyzed for drug-drug interactions and adverse drug reactions using web-based drug interaction software (Diagnosia ® Check). We report an overall frequency of relevant drug-drug interactions of 51.7 %, with an average of 3.2 interactions per affected inpatient. Drug combinations that should have been avoided were found in 5.7 % of the study population. Total drug count was the most important risk factor. Drug groups involved in the majority of interactions were analgesics, cardiovascular and antithrombotic agents, as well as antidepressants. The risk of developing adverse drug reactions was rated as "high" in 53.1 % of inpatients. The top five adverse reactions in this patient group were bleeding, constipation, anticholinergic effects, sedation, and orthostatic effects. Potential drug-drug interactions as well as adverse drug reactions are alarmingly common in dermatological inpatients. Every other patient is at risk of experiencing such interactions or adverse reactions, and every twentieth patient receives a drug combination that should not be administered. Increased alertness is a must in order to identify patients at risk. © 2016 Deutsche Dermatologische Gesellschaft (DDG). Published by John Wiley & Sons Ltd.

  8. Antifungal therapy: drug-drug interactions at your fingertips

    NARCIS (Netherlands)

    Lempers, V.J.; Bruggemann, R.J.

    2016-01-01

    The Information Age has revolutionized the ability of healthcare professionals (HCPs) to oversee a substantial body of clinically relevant information literally at one's fingertips. In the field of clinical pharmacology, this may be particularly useful for managing drug-drug interactions (DDIs). A

  9. Risk of drug interaction: combination of antidepressants and other drugs

    Directory of Open Access Journals (Sweden)

    Miyasaka Lincoln Sakiara

    2003-01-01

    Full Text Available OBJECTIVE: To assess the frequency of combination of antidepressants with other drugs and risk of drug interactions in the setting public hospital units in Brazil. METHODS: Prescriptions of all patients admitted to a public hospital from November 1996 to February 1997 were surveyed from the hospital's data processing center in São Paulo, Brazil. A manual search of case notes of all patients admitted to the psychiatric unit from January 1993 to December 1995 and all patients registered in the affective disorders outpatient clinic in December 1996 was carried out. Patients taking any antidepressant were identified and concomitant use of drugs was checked. By means of a software program (Micromedex® drug interactions were identified. RESULTS: Out of 6,844 patients admitted to the hospital, 63 (0.9% used antidepressants and 16 (25.3% were at risk of drug interaction. Out of 311 patients in the psychiatric unit, 63 (20.2% used antidepressants and 13 of them (20.6% were at risk. Out of 87 patients in the affective disorders outpatient clinic, 43 (49.4% took antidepressants and 7 (16.2% were at risk. In general, the use of antidepressants was recorded in 169 patients and 36 (21.3% were at risk of drug interactions. Twenty different forms of combinations at risk of drug interactions were identified: four were classified as mild, 15 moderate and one severe interaction. CONCLUSION: In the hospital general units the number of drug interactions per patient was higher than in the psychiatric unit; and prescription for depression was lower than expected.

  10. Taste mixture interactions: suppression, additivity, and the predominance of sweetness.

    Science.gov (United States)

    Green, Barry G; Lim, Juyun; Osterhoff, Floor; Blacher, Karen; Nachtigal, Danielle

    2010-12-02

    Most of what is known about taste interactions has come from studies of binary mixtures. The primary goal of this study was to determine whether asymmetries in suppression between stimuli in binary mixtures predict the perception of tastes in more complex mixtures (e.g., ternary and quaternary mixtures). Also of interest was the longstanding question of whether overall taste intensity derives from the sum of the tastes perceived within a mixture (perceptual additivity) or from the sum of the perceived intensities of the individual stimuli (stimulus additivity). Using the general labeled magnitude scale together with a sip-and-spit procedure, we asked subjects to rate overall taste intensity and the sweetness, sourness, saltiness and bitterness of approximately equi-intense sucrose, NaCl, citric acid and QSO(4) stimuli presented alone and in all possible binary, ternary and quaternary mixtures. The results showed a consistent pattern of mixture suppression in which sucrose sweetness tended to be both the least suppressed quality and the strongest suppressor of other tastes. The overall intensity of mixtures was found to be predicted best by perceptual additivity. A second experiment that was designed to rule out potentially confounding effects of the order of taste ratings and the temperature of taste solutions replicated the main findings of the first experiment. Overall, the results imply that mixture suppression favors perception of sweet carbohydrates in foods at the expense of other potentially harmful ingredients, such as high levels of sodium (saltiness) and potential poisons or spoilage (bitterness and sourness). Copyright © 2010 Elsevier Inc. All rights reserved.

  11. Interactions between antiepileptic drugs and herbal medicines

    OpenAIRE

    Landmark, C. J.; Patsalos, P. N.

    2008-01-01

    As a therapeutic class, antiepileptic drugs (AEDs) have a high propensity to interact and many interactions with concomitant medications have been described. Increasingly, herbal medicines are often used by patients with epilepsy and the risk that these may interact with their AED medication is now being realised. The purpose of this review is to highlight the interactions that have been reported between AEDs and herbal medicines. Overall, the published data are sparse and comprise of both ph...

  12. Drug interaction databases in medical literature

    DEFF Research Database (Denmark)

    Kongsholm, Gertrud Gansmo; Nielsen, Anna Katrine Toft; Damkier, Per

    2015-01-01

    PURPOSE: It is well documented that drug-drug interaction databases (DIDs) differ substantially with respect to classification of drug-drug interactions (DDIs). The aim of this study was to study online available transparency of ownership, funding, information, classifications, staff training...... and the three most commonly used subscription DIDs in the medical literature. The following parameters were assessed for each of the databases: Ownership, classification of interactions, primary information sources, and staff qualification. We compared the overall proportion of yes/no answers from open access...... rose to 22/60 and 30/36, respectively (p interaction" domain, proportions were 3/25 versus 11/15 available from the webpage (P = 0.0001) and 3/25 versus 15/15 (p

  13. Potential intravenous drug interactions in intensive care

    Directory of Open Access Journals (Sweden)

    Maiara Benevides Moreira

    Full Text Available Abstract OBJECTIVE To analyze potential intravenous drug interactions, and their level of severity associated with the administration of these drugs based on the prescriptions of an intensive care unit. METHOD Quantitative study, with aretrospective exploratory design, and descriptive statistical analysis of the ICU prescriptions of a teaching hospital from March to June 2014. RESULTS The sample consisted of 319 prescriptions and subsamples of 50 prescriptions. The mean number of drugs per patient was 9.3 records, and a higher probability of drug interaction inherent to polypharmacy was evidenced. The study identified severe drug interactions, such as concomitant administration of Tramadol with selective serotonin reuptake inhibitor drugs (e.g., Metoclopramide and Fluconazole, increasing the risk of seizures due to their epileptogenic actions, as well as the simultaneous use of Ranitidine-Fentanyl®, which can lead to respiratory depression. CONCLUSION A previous mapping of prescriptions enables the characterization of the drug therapy, contributing to prevent potential drug interactions and their clinical consequences.

  14. An Oral Contraceptive Drug Interaction Study

    Science.gov (United States)

    Bradstreet, Thomas E.; Panebianco, Deborah L.

    2004-01-01

    This article focuses on a two treatment, two period, two treatment sequence crossover drug interaction study of a new drug and a standard oral contraceptive therapy. Both normal theory and distribution-free statistical analyses are provided along with a notable amount of graphical insight into the dataset. For one of the variables, the decision on…

  15. Interaction of cationic drugs with liposomes.

    Science.gov (United States)

    Howell, Brett A; Chauhan, Anuj

    2009-10-20

    Interactions between cationic drugs and anionic liposomes were studied by measuring binding of drugs and the effect of binding on liposome permeability. The measurements were analyzed in the context of a continuum model based on electrostatic interactions and a Langmuir isotherm. Experiments and modeling indicate that, although electrostatic interactions are important, the fraction of drug sequestered in the double-layer is negligible. The majority of drug enters the bilayer with the charged regions interacting with the charged lipid head groups and the lipophilic regions associated with the bilayer. The partitioning of the drug can be described by a Langmuir isotherm with the electrostatic interactions increasing the sublayer concentration of the drug. The binding isotherms are similar for all tricyclic antidepressants (TCA). Bupivacaine (BUP) binds significantly less compared to TCA because its structure is such that the charged region has minimal interactions with the lipid heads once the BUP molecule partitions inside the bilayer. Conversely, the TCAs are linear with distinct hydrophilic and lipophilic regions, allowing the lipophilic regions to lie inside the bilayer and the hydrophilic regions to protrude out. This conformation maximizes the permeability of the bilayer, leading to an increased release of a hydrophilic fluorescent dye from liposomes.

  16. Radiopharmaceuticals drug interactions: a critical review

    International Nuclear Information System (INIS)

    Santos-Oliveira, Ralph; Smith, Sheila W.; Carneiro-Leao, Ana Maria A.

    2008-01-01

    Radiopharmaceuticals play a critical role in modern medicine primarily for diagnostic purposes, but also for monitoring disease progression and response to treatment. As the use of image has been increased, so has the use of prescription medications. These trends increase the risk of interactions between medications and radiopharmaceuticals. These interactions which have an impact on image by competing with the radiopharmaceutical for binding sites for example can lead to false negative results. Drugs that accelerate the metabolism of the radiopharmaceutical can have a positive impact (i.e. speeding its clearance) or, if repeating image is needed, a negative impact. In some cases, for example in cardiac image among patients taking doxirubacin, these interactions may have a therapeutic benefit. The incidence of drug-radiopharmaceuticals adverse reactions is unknown, since they may not be reported or even recognized. Here, we compiled the medical literature, using the criteria of a systematic review established by the Cochrane Collaboration, on pharmaceutical-drug interactions to provide a summary of documented interactions by organ system and radiopharmaceuticals. The purpose is to provide a reference on drug interactions that could inform the nuclear medicine staff in their daily routine. Efforts to increase adverse event reporting, and ideally consolidate reports worldwide, can provide a critically needed resource for prevention of drug-radiopharmaceuticals interactions. (author)

  17. Radiopharmaceuticals drug interactions: a critical review

    Energy Technology Data Exchange (ETDEWEB)

    Santos-Oliveira, Ralph [Comissao Nacional de Energia Nuclear (CNEN/CRCN-NE), Recife, PE (Brazil). Centro Regional de Ciencias Nucleares. Servico de Controle de Qualidade]. E-mail: roliveira@cnen.gov.br; Smith, Sheila W. [University of Maryland, Baltimore, MF (United States). School of Pharmacy and Medicine. Dept. of Pharmaceutical Health Service Research; Carneiro-Leao, Ana Maria A. [Universidade Federal Rural de Pernambuco (UFRPE), Recife, PE (Brazil). Dept. de Morfologia e Fisiologia Animal

    2008-12-15

    Radiopharmaceuticals play a critical role in modern medicine primarily for diagnostic purposes, but also for monitoring disease progression and response to treatment. As the use of image has been increased, so has the use of prescription medications. These trends increase the risk of interactions between medications and radiopharmaceuticals. These interactions which have an impact on image by competing with the radiopharmaceutical for binding sites for example can lead to false negative results. Drugs that accelerate the metabolism of the radiopharmaceutical can have a positive impact (i.e. speeding its clearance) or, if repeating image is needed, a negative impact. In some cases, for example in cardiac image among patients taking doxirubacin, these interactions may have a therapeutic benefit. The incidence of drug-radiopharmaceuticals adverse reactions is unknown, since they may not be reported or even recognized. Here, we compiled the medical literature, using the criteria of a systematic review established by the Cochrane Collaboration, on pharmaceutical-drug interactions to provide a summary of documented interactions by organ system and radiopharmaceuticals. The purpose is to provide a reference on drug interactions that could inform the nuclear medicine staff in their daily routine. Efforts to increase adverse event reporting, and ideally consolidate reports worldwide, can provide a critically needed resource for prevention of drug-radiopharmaceuticals interactions. (author)

  18. Participatory design for drug-drug interaction alerts.

    Science.gov (United States)

    Luna, Daniel; Otero, Carlos; Almerares, Alfredo; Stanziola, Enrique; Risk, Marcelo; González Bernaldo de Quirós, Fernán

    2015-01-01

    The utilization of decision support systems, in the point of care, to alert drug-drug interactions has been shown to improve quality of care. Still, the use of these systems has not been as expected, it is believed, because of the difficulties in their knowledge databases; errors in the generation of the alerts and the lack of a suitable design. This study expands on the development of alerts using participatory design techniques based on user centered design process. This work was undertaken in three stages (inquiry, participatory design and usability testing) it showed that the use of these techniques improves satisfaction, effectiveness and efficiency in an alert system for drug-drug interactions, a fact that was evident in specific situations such as the decrease of errors to meet the specified task, the time, the workload optimization and users overall satisfaction in the system.

  19. Can vaccines interact with drug metabolism?

    Science.gov (United States)

    Pellegrino, Paolo; Clementi, Emilio; Capuano, Annalisa; Radice, Sonia

    2015-02-01

    Vaccines are safe and efficacious in reducing the burden of several serious infections affecting children and adults. Due to their efficacy, vaccines are often administered in patients with chronic diseases, likely to be under poly-therapy. Because of several case reports indicating changes in drug metabolism after vaccination, the hypothesis of an interaction between vaccines and specific drugs has been put forward. These interactions are conceivably of great concern, especially in patients treated with molecules characterised by a narrow therapeutic index. Herein, we review and systematise the available evidence on vaccine-drug interactions. The picture that emerges indicates that reduction in the activity of specific CYPs following vaccination may occur, most likely via interferon γ overproduction, and for specific drugs such as anticonvulsivant and theophylline may have significant clinical relevance. Clinical interaction between vaccines and drugs that are metabolised by cytochromes uninfluenced by INFγ levels, such as warfarin, are instead unlikely to happen. Further studies are however needed to gain a complete picture of vaccine-drug interactions and define their relevance in terms of possible negative clinical impact. Copyright © 2014 Elsevier Ltd. All rights reserved.

  20. Population Impact of Drug Interactions with Warfarin

    DEFF Research Database (Denmark)

    Martín-Pérez, Mar; Gaist, David; de Abajo, Francisco J

    2018-01-01

    OBJECTIVE:  To investigate the population impact of previously reported interactions between warfarin and other drugs on international normalized ratio (INR) levels. METHODS:  Using The Health Improvement Network (THIN), a United Kingdom primary care database, a cohort of warfarin users between...... 2005 and 2013 (N = 121,962) was followed until the first qualifying prescription for the potential interacting drugs was evaluated. Sixteen sub-cohorts, one for each study drug, and a control sub-cohort of warfarin were ascertained. Short-term changes in INR levels were assessed by comparing INR values...... measured before and after initiation of the interacting drug with paired Student's t-test. We also evaluated the proportion of patients with INR values outside the therapeutic range (INR: 2-3). RESULTS:  Miconazole use was associated with the highest mean increase in INR (+3.35), followed by amiodarone (+1...

  1. Cellular mechanisms in drug - radiation interaction

    International Nuclear Information System (INIS)

    Trott, K.R.

    1979-01-01

    Some cytotoxic drugs, especially those belonging to the group of antibiotics and antimetabolites, sensitize the cells having survived drug treatment to the subsequent irradiation by either increasing the slope of the radiation dose response curves or by decreasing extrapolation number. Bleomycin was found to interact with radiation in L-cells and FM3A cells, but not in HeLa-cells. The data with EMT-6 cells suggest that the interaction depends on drug dose: no interaction occurred after the exposure to bleomycin which killed only 20 - 40% of the cells; yet the exposure to bleomycin which killed 90% of the cells in addition sensitized the surviving cells by the DMF of 1.3. The sensitization found 24 hr after the exposure of HeLa cells to methotrexate was due to cell synchronization. Other cytostatic drugs were found to synchronize proliferating cells even better. Therefore, the fluctuation of radiosensitivity has been commonly observed after the termination of exposure to these drugs. Preirradiation may lead to the change in drug dose response curves. The recruitment of resting cells into cycle occurs hours or days later, in some irradiated normal and malignant tissues. Since many cytostatic drugs are far more active in proliferating cells than in resting cells, the recruitment after irradiation may lead to the sudden increase in drug sensitivity, days after the irradiation. No single, simple theory seems to exist to classify and predict the cellular response to combined modality treatment. (Yamashita, S.)

  2. Pharmacokinetic interactions between contraceptives and antiepileptic drugs

    DEFF Research Database (Denmark)

    Sabers, A.

    2008-01-01

    The occurrence of bi-directional drug interactions between antiepileptic drugs (AEDs) and combined oral contraceptives (M) pose potential risks of unintended pregnancy and as well as seizure deterioration. It is well established that several of the older AEDs (carbamazepine, phenytoin...... AEDs, which undergoes glucuronidation processes, such as valproate and oxcarbazepine, may be affected by OCs. The magnitude of the drug-drug interactions show in general wide inter-individual variability and the change in the elimination rate is often unpredictable and can be influenced by a number...... of co-variants such as co-medication of other drugs, as well as genetic and environmental factors. It is therefore recommended that change in OC use is assisted by AED monitoring whenever possible. (C) 2007 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved Udgivelsesdato: 2008/3...

  3. Clinically significant drug interactions with newer antidepressants.

    Science.gov (United States)

    Spina, Edoardo; Trifirò, Gianluca; Caraci, Filippo

    2012-01-01

    After the introduction of selective serotonin reuptake inhibitors (SSRIs), other newer antidepressants with different mechanisms of action have been introduced in clinical practice. Because antidepressants are commonly prescribed in combination with other medications used to treat co-morbid psychiatric or somatic disorders, they are likely to be involved in clinically significant drug interactions. This review examines the drug interaction profiles of the following newer antidepressants: escitalopram, venlafaxine, desvenlafaxine, duloxetine, milnacipran, mirtazapine, reboxetine, bupropion, agomelatine and vilazodone. In general, by virtue of a more selective mechanism of action and receptor profile, newer antidepressants carry a relatively low risk for pharmacodynamic drug interactions, at least as compared with first-generation antidepressants, i.e. monoamine oxidase inhibitors (MAOIs) and tricyclic antidepressants (TCAs). On the other hand, they are susceptible to pharmacokinetic drug interactions. All new antidepressants are extensively metabolized in the liver by cytochrome P450 (CYP) isoenzymes, and therefore may be the target of metabolically based drug interactions. Concomitant administration of inhibitors or inducers of the CYP isoenzymes involved in the biotransformation of specific antidepressants may cause changes in their plasma concentrations. However, due to their relatively wide margin of safety, the consequences of such kinetic modifications are usually not clinically relevant. Conversely, some newer antidepressants may cause pharmacokinetic interactions through their ability to inhibit specific CYPs. With regard to this, duloxetine and bupropion are moderate inhibitors of CYP2D6. Therefore, potentially harmful drug interactions may occur when they are coadministered with substrates of these isoforms, especially compounds with a narrow therapeutic index. The other new antidepressants are only weak inhibitors or are not inhibitors of CYP isoforms at

  4. Drug-Drug and Herb-Drug Interaction-A Comment | Esimone ...

    African Journals Online (AJOL)

    Clinically relevant drug-drug interactions may be pharmacodynamic or pharmacokinetic. And herbal medicinal products are becoming increasingly popular. Drug interactions can be in vivo or in vitro. Pharmacodynamic outcomes take such forms as Additive, Synergistic, Antagonistic or Indifferent. The paper reviews and ...

  5. Interactions between hormonal contraception and antiepileptic drugs

    DEFF Research Database (Denmark)

    Reimers, Arne; Brodtkorb, Eylert; Sabers, Anne

    2015-01-01

    Antiepileptic drugs (AEDs) and hormonal contraceptives may affect each other's metabolism and clinical efficacy. Loss of seizure control and unplanned pregnancy may occur when these compounds are used concomitantly. Although a large number of available preparations yield a plethora of possible drug...... combinations, most of these drug interactions are predictable and, thus, avoidable. Unfortunately, there is a substantial lack of data regarding the newer AEDs. Detailed understanding of these issues is necessary for those who prescribe AEDs and/or hormonal contraception to women with epilepsy, as well...

  6. Interaction of cephalosporin drugs with dodecyltrimethylammonium Bromide

    International Nuclear Information System (INIS)

    Hoque, Md. Anamul; Hossain, Mohammed Delwar; Khan, Mohammed Abdullah

    2013-01-01

    Highlights: • We carry out the interaction of cephalosporin drugs with DTAB conductometrically. • We examine the effect of drugs on the critical micelle concentration of DTAB. • Three critical micelle concentrations are obtained for drug- DTAB system. • Electrostatic and hydrophobic interactions between drugs and DTAB are proposed. • Drug supported micelle formation of DTAB is much favoured in aq. solution of K 2 SO 4 . -- Abstract: The interaction of three cephalosporin drugs namely cefadroxyl monohydrate (CFM), cephalexin monohydrate (CLM) and cephradine monohydrate (CDM) with dodecyltrimethylammonium Bromide (DTAB) has been carried out by conductance measurements in aqueous medium and in aqueous solution of K 2 SO 4 salt over temperature range of (303.15 to 318.15) K. For pure DTAB and drug-DTAB systems, three critical micelle concentrations were obtained. The third critical micelle concentration (c ∗ 3 ) indicates that the spherical micelle turns into rod shape that is sphere to rod transition. The c ∗ values of DTAB are changed due to the addition of cephalosporin drugs. In addition, the change of the values of c ∗ 1 , c ∗ 2 and c ∗ 3 with increase of the concentration of drugs indicate the presence of interaction between drug and DTAB. The c ∗ values indicate that micellization for the cephalosporins-surfactant systems in water follow the order: CFM-surfactant ∗ values for the cephalosporins - DTAB systems in aqueous K 2 SO 4 are lower in magnitude than those in pure water and the values decrease with increase of the concentrations of K 2 SO 4 at a particular temperature. A significant decrease of c ∗ values in the presence of K 2 SO 4 for cephalosporins-DTAB systems indicates that drug supported ionic micelle formation is much favoured in aqueous K 2 SO 4 solution compared to that in pure water. For cephalosporin-DTAB systems, ΔG 0 m values are negative which indicate that the drugs mediated ionic micelle formation processes are

  7. Lower alert rates by clustering of related drug interaction alerts

    NARCIS (Netherlands)

    Heringa, M.; Siderius, H.; Floor-Schreudering, A.; Smet, P.A.G.M. de; Bouvy, M.L.

    2017-01-01

    OBJECTIVE: We aimed to investigate to what extent clustering of related drug interaction alerts (drug-drug and drug-disease interaction alerts) would decrease the alert rate in clinical decision support systems (CDSSs). METHODS: We conducted a retrospective analysis of drug interaction alerts

  8. Lower alert rates by clustering of related drug interaction alerts

    NARCIS (Netherlands)

    Heringa, M.; Siderius, Hidde; Schreudering, A.; De Smet, Peter Agm; Bouvy, M.L.

    OBJECTIVE: We aimed to investigate to what extent clustering of related drug interaction alerts (drug-drug and drug-disease interaction alerts) would decrease the alert rate in clinical decision support systems (CDSSs). METHODS: We conducted a retrospective analysis of drug interaction alerts

  9. Dominant drug targets suppress the emergence of antiviral resistance

    OpenAIRE

    Tanner, Elizabeth J; Liu, Hong-mei; Oberste, M Steven; Pallansch, Mark; Collett, Marc S; Kirkegaard, Karla

    2014-01-01

    eLife digest Treating a viral infection with a drug sometimes has an unwanted side effect?the virus quickly becomes resistant to the drug. Viruses whose genetic information is encoded in molecules of RNA mutate faster than DNA viruses and are particularly good at developing resistance to drugs. This is because the process of copying the RNA is prone to errors, and by chance some of these errors, or mutations, may allow the virus to resist the drug's effects. Treating viral infections with mos...

  10. Drug Interactions in Clinical Practice | Ohaju-Obodo | Nigerian ...

    African Journals Online (AJOL)

    The existence of numerous drugs available today for clinical management of patients require consideration of their potential interactions - alteration of the effects of one drug by the concurrent or prior administration of one or more drugs (drug-drug interactions). There could also be alteration of the effects of a drug by food ...

  11. Drug-Nutrition Interactions in Older People

    NARCIS (Netherlands)

    Orten-Luiten, van A.C.; Janse, A.; Witkamp, R.

    2016-01-01

    Although both malnutrition and polypharmacy in elderly populations are relevant clinical issues, relatively little is known about their mutual relationship through drug-nutrition interactions (DNIs). To address this knowledge gap, DNIs are discussed, captured in a framework of five classes: the

  12. Evaluation of HIV drug interaction web sites.

    Science.gov (United States)

    Sheehan, Nancy L; Kelly, Deborah V; Tseng, Alice L; van Heeswijk, Rolf P G; Béïque, Lizanne C; Hughes, Christine A

    2003-11-01

    Clinicians frequently consult HIV drug interaction Web sites of unknown quality. To systematically review and identify HIV drug interaction Web sites of high quality and usefulness for healthcare professionals. Relevant Web sites were identified through a structured search on commonly used search engines. An assessment tool containing 4 domains (content, reliability, access restrictions, ease of navigation) was developed. English and French Web sites were selected for review if they included HIV drug interaction information directed to healthcare professionals. Web sites were excluded if antiretroviral interaction data were not available or were out of date. Commercial online databases and sites that required payment were not included. Seventeen HIV pharmacists from across Canada participated in the review. The Web sites were ranked with total mean scores. Mean scores for each domain were then analyzed. Interrater agreement and ANOVA using the rater as a covariate were determined. Nine Web sites met the criteria for review. Web sites from Toronto General Hospital (Canada), HIVinSite (beta version) (US), and the University of Liverpool (UK) ranked highest for total mean scores and for content. Other Web sites were found to be reliable, accessible, and easy to navigate; however, they did not consistently include unpublished data or data on herbal preparations, recreational drugs, or multiple interactions. Three HIV interaction Web sites of high quality were identified that can be valuable tools for HIV and non-HIV health-care professionals. Regular reviews are necessary in order to keep pace with the growing body of HIV interaction data and the constant evolution of Web sites.

  13. Transporters and drug-drug interactions: important determinants of drug disposition and effects.

    Science.gov (United States)

    König, Jörg; Müller, Fabian; Fromm, Martin F

    2013-07-01

    Uptake and efflux transporters determine plasma and tissue concentrations of a broad variety of drugs. They are localized in organs such as small intestine, liver, and kidney, which are critical for drug absorption and elimination. Moreover, they can be found in important blood-tissue barriers such as the blood-brain barrier. Inhibition or induction of drug transporters by coadministered drugs can alter pharmacokinetics and pharmacodynamics of the victim drugs. This review will summarize in particular clinically observed drug-drug interactions attributable to inhibition or induction of intestinal export transporters [P-glycoprotein (P-gp), breast cancer resistance protein (BCRP)], to inhibition of hepatic uptake transporters [organic anion transporting polypeptides (OATPs)], or to inhibition of transporter-mediated [organic anion transporters (OATs), organic cation transporter 2 (OCT2), multidrug and toxin extrusion proteins (MATEs), P-gp] renal secretion of xenobiotics. Available data on the impact of nutrition on transport processes as well as genotype-dependent, transporter-mediated drug-drug interactions will be discussed. We will also present and discuss data on the variable extent to which information on the impact of transporters on drug disposition is included in summaries of product characteristics of selected countries (SPCs). Further work is required regarding a better understanding of the role of the drug metabolism-drug transport interplay for drug-drug interactions and on the extrapolation of in vitro findings to the in vivo (human) situation.

  14. Predicting drug-drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge.

    Science.gov (United States)

    Takeda, Takako; Hao, Ming; Cheng, Tiejun; Bryant, Stephen H; Wang, Yanli

    2017-01-01

    Drug-drug interactions (DDIs) may lead to adverse effects and potentially result in drug withdrawal from the market. Predicting DDIs during drug development would help reduce development costs and time by rigorous evaluation of drug candidates. The primary mechanisms of DDIs are based on pharmacokinetics (PK) and pharmacodynamics (PD). This study examines the effects of 2D structural similarities of drugs on DDI prediction through interaction networks including both PD and PK knowledge. Our assumption was that a query drug (Dq) and a drug to be examined (De) likely have DDI if the drugs in the interaction network of De are structurally similar to Dq. A network of De describes the associations between the drugs and the proteins relating to PK and PD for De. These include target proteins, proteins interacting with target proteins, enzymes, and transporters for De. We constructed logistic regression models for DDI prediction using only 2D structural similarities between each Dq and the drugs in the network of De. The results indicated that our models could effectively predict DDIs. It was found that integrating structural similarity scores of the drugs relating to both PK and PD of De was crucial for model performance. In particular, the combination of the target- and enzyme-related scores provided the largest increase of the predictive power.Graphical abstract.

  15. Amiodarone Rifampicin Drug-Drug Interaction Management with Therapeutic Drug Monitoring.

    Science.gov (United States)

    Oude Munnink, Thijs H; Demmer, Anna; Slenter, Roel H J; Movig, Kris L L

    2018-02-20

    The authors present a case of a 69-year-old man with arrhythmogenic right ventricular cardiomyopathy controlled with amiodarone and an infected orthopedic prosthesis requiring treatment with rifampicin. This combination involves a pharmacokinetic drug-drug interaction leading to subtherapeutic drug concentrations of amiodarone and its active metabolite. The long half-life of amiodarone and its active metabolite in combination with the late onset and offset of cytochrome P4503A (CYP3A4) induction by rifampicin makes this a challenging drug-drug interaction to cope with in clinical practice. Before, during, and after rifampicin treatment, the serum concentrations of amiodarone and its active metabolite were measured and the amiodarone dose was adjusted accordingly. The amiodarone dose required to maintain effective concentrations was 450% of the initial dose. The drug-drug interaction between amiodarone and rifampicin is relevant, both clinically and pharmacokinetically, and can be managed by dose adjustments of amiodarone based on serum concentrations.

  16. Potential intravenous drug interactions in intensive care.

    Science.gov (United States)

    Moreira, Maiara Benevides; Mesquita, Maria Gefé da Rosa; Stipp, Marluci Andrade Conceição; Paes, Graciele Oroski

    2017-07-20

    To analyze potential intravenous drug interactions, and their level of severity associated with the administration of these drugs based on the prescriptions of an intensive care unit. Quantitative study, with aretrospective exploratory design, and descriptive statistical analysis of the ICU prescriptions of a teaching hospital from March to June 2014. The sample consisted of 319 prescriptions and subsamples of 50 prescriptions. The mean number of drugs per patient was 9.3 records, and a higher probability of drug interaction inherent to polypharmacy was evidenced. The study identified severe drug interactions, such as concomitant administration of Tramadol with selective serotonin reuptake inhibitor drugs (e.g., Metoclopramide and Fluconazole), increasing the risk of seizures due to their epileptogenic actions, as well as the simultaneous use of Ranitidine-Fentanyl®, which can lead to respiratory depression. A previous mapping of prescriptions enables the characterization of the drug therapy, contributing to prevent potential drug interactions and their clinical consequences. Analisar as potenciais interações medicamentosas intravenosas e seu grau de severidade associadas à administração desses medicamentos a partir das prescrições do Centro de Terapia Intensiva. Estudo quantitativo, tipologia retrospectiva exploratória, com análise estatística descritiva das prescrições medicamentosas do Centro de Terapia Intensiva de um Hospital Universitário, no período de março-junho/2014. A amostra foi composta de 319 prescrições e subamostras de 50 prescrições. Constatou-se que a média de medicamentos por paciente foi de 9,3 registros, e evidenciou-se maior probabilidade para ocorrência de interação medicamentosa inerente à polifarmácia. O estudo identificou interações medicamentosas graves, como a administração concomitante de Tramadol com medicamentos inibidores seletivos da recaptação da serotonina, (exemplo: Metoclopramida e Fluconazol

  17. Patient Counseling about Herbal-Drug Interactions | Hussain ...

    African Journals Online (AJOL)

    The multitude of pharmacologically active compounds obviously increases the likelihood of interactions taking place. Hence, the likelihood of herb-drug interactions is theoretically higher than drug-drug interactions because synthetic drugs usually contain single chemical entity. Case reports and clinical studies have ...

  18. Suppression of autoimmune retinal inflammation by an antiangiogenic drug.

    Directory of Open Access Journals (Sweden)

    Takeru Yoshimura

    Full Text Available Chronic and recurrent uveitis account for approximately 10% of legal blindness in the western world. Autoimmune uveitis is driven by activated CD4(+ T cells that differentiate into effector T helper cells (Th1, Th2, and Th17 which release proinflammatory cytokines that damage the retina. In this study we investigated the effect of the methionine aminopeptidase 2 (MetAP2 inhibitor, Lodamin, on T cell activation and differentiation. MetAp2 is an enzyme which regulates cellular protein synthesis and is highly expressed in T cells. Lodamin was found to suppress T cell receptor (TCR mediated T cell proliferation and reduced the production of Th1 and Th17 cells. Further, Lodamin suppressed overall inflammation in the mouse model of experimental autoimmune uveitis (EAU by a six fold. This effect was attributed in part to a reduction in retinal proinflammatory cytokines, down regulation of MetAP2 expression in purified lymph node CD4(+ T cells, and a general normalization of the systemic immune reaction.

  19. Suppression of Autoimmune Retinal Inflammation by an Antiangiogenic Drug

    Science.gov (United States)

    Bazinet, Lauren; D’Amato, Robert J.

    2013-01-01

    Chronic and recurrent uveitis account for approximately 10% of legal blindness in the western world. Autoimmune uveitis is driven by activated CD4+ T cells that differentiate into effector T helper cells (Th1, Th2, and Th17) which release proinflammatory cytokines that damage the retina. In this study we investigated the effect of the methionine aminopeptidase 2 (MetAP2) inhibitor, Lodamin, on T cell activation and differentiation. MetAp2 is an enzyme which regulates cellular protein synthesis and is highly expressed in T cells. Lodamin was found to suppress T cell receptor (TCR) mediated T cell proliferation and reduced the production of Th1 and Th17 cells. Further, Lodamin suppressed overall inflammation in the mouse model of experimental autoimmune uveitis (EAU) by a six fold. This effect was attributed in part to a reduction in retinal proinflammatory cytokines, down regulation of MetAP2 expression in purified lymph node CD4+ T cells, and a general normalization of the systemic immune reaction. PMID:23785488

  20. Drug-Drug Interaction Extraction via Convolutional Neural Networks

    Directory of Open Access Journals (Sweden)

    Shengyu Liu

    2016-01-01

    Full Text Available Drug-drug interaction (DDI extraction as a typical relation extraction task in natural language processing (NLP has always attracted great attention. Most state-of-the-art DDI extraction systems are based on support vector machines (SVM with a large number of manually defined features. Recently, convolutional neural networks (CNN, a robust machine learning method which almost does not need manually defined features, has exhibited great potential for many NLP tasks. It is worth employing CNN for DDI extraction, which has never been investigated. We proposed a CNN-based method for DDI extraction. Experiments conducted on the 2013 DDIExtraction challenge corpus demonstrate that CNN is a good choice for DDI extraction. The CNN-based DDI extraction method achieves an F-score of 69.75%, which outperforms the existing best performing method by 2.75%.

  1. The population impact of eliminating homelessness on HIV viral suppression among people who use drugs.

    Science.gov (United States)

    Marshall, Brandon D L; Elston, Beth; Dobrer, Sabina; Parashar, Surita; Hogg, Robert S; Montaner, Julio S G; Kerr, Thomas; Wood, Evan; Milloy, M-J

    2016-03-27

    We sought to estimate the change in viral suppression prevalence if homelessness were eliminated from a population of HIV-infected people who use drugs. Community-recruited prospective cohort of HIV-infected people who use drugs in Vancouver, Canada. Behavioural information was collected at baseline and linked to a province-wide HIV/AIDS treatment database. The primary outcome was viral suppression (homelessness and viral suppression (adjusting for sociodemographics, substance use, addiction treatment, and other confounders). Then, we imputed an outcome probability for each individual while manipulating the exposure (homelessness). Population viral suppression prevalence under realized and 'housed' scenarios were obtained by averaging these probabilities across the study population. Bootstrapping was conducted to calculate 95% confidence limits. Of 706 individuals interviewed between January 2005 and December 2013, the majority were men (66.0%), of white race/ethnicity (55.1%), and had a history of injection drug use (93.6%). At first study visit, 223 (31.6%) reported recent homelessness, and 37.8% were subsequently identified as virally suppressed. Adjusted marginal models estimated a 15.1% relative increase [95% confidence interval (CI) 9.0-21.7%) in viral suppression in the entire population - to 43.5% (95% CI 39.4-48.2%) - if all homeless individuals were housed. Among those homeless, eliminating this exposure would increase viral suppression from 22.0 to 40.1% (95% CI 35.1-46.1%), an 82.3% relative increase. Interventions to house homeless, HIV-positive individuals who use drugs could significantly increase population viral suppression. Such interventions should be implemented as a part of renewed HIV/AIDS prevention and treatment efforts.

  2. Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro

    OpenAIRE

    Yoshida, Mari; Galiñanes Reyes, Sabrina Galiñanes; Tsuda, Soichiro; Horinouchi, Takaaki; Furusawa, Chikara; Cronin, Leroy

    2017-01-01

    Multi-drug strategies have been attempted to prolong the efficacy of existing antibiotics, but with limited success. Here we show that the evolution of multi-drug-resistant Escherichia coli can be manipulated in vitro by administering pairs of antibiotics and switching between them in ON/OFF manner. Using a multiplexed cell culture system, we find that switching between certain combinations of antibiotics completely suppresses the development of resistance to one of the antibiotics. Using thi...

  3. Drug-drug Interaction-related Uncontrolled Glycemia.

    Science.gov (United States)

    Hammad, Mohamed Anwar; Tangiisuran, Balamurugan; Kharshid, Abeer Mohamed; Abdul-Aziz, Noorizan; Hassan, Yahaya; Aziz, Nor Azizah; Elsayed, Tarek Mohamed

    2017-01-01

    The literature of drug-drug interaction (DDI)-related uncontrolled causality, and preventability of DDI-induced UCG (HbA1c >7%) in outpatients glycemia (UCG) among outpatients with Type 2 diabetes mellitus is still limited. The aim of this study is to identify the prevalence, mechanism, severity, with Type 2 diabetes. A cross-sectional study was conducted in Penang General Hospital. A computerized system for DDI checking was used to assess the severity and mechanism of DDIs. Drug interaction probability scale was used to evaluate the likelihood of DDIs. Preventability of DDIs has been determined by the instrument of Hallas. The UCG prevalence related to DDIs was further assessed. SPSS 21.00 was used in this study. From 425 outpatients with HbA1c% test, their mean age was 58.7 ± 12.8 years. Only 225 (52.9%) cases had controlled glycemia while 200 (47.1%) cases with UCG. They had multiple comorbidities, with a mean number of 3.8 ± 2.2/patient and often prescribed with multiple medications, with a mean number of 6.33 ± 4.67/patient. It has been detected that 86 DDIs causing UCG in 46 patients (23%) with range of (1 - 4) DDIs per patient. Drugs with DDI-induced UCG were as follows: diuretics (79%), salbutamol (9.2%), cortisones (5.8%), and others (6%). The majority of these DDIs were categorized as possible (77.9%) and preventable (37%). Nearly one-quarter of UCG was induced by DDIs; most of these DDIs are possible, and more than one-third are preventable. It was concluded that thiazide diuretics have the highest prevalence of DDI-related UCG.

  4. Evaluation of drug interactions with nanofibrillar cellulose.

    Science.gov (United States)

    Kolakovic, Ruzica; Peltonen, Leena; Laukkanen, Antti; Hellman, Maarit; Laaksonen, Päivi; Linder, Markus B; Hirvonen, Jouni; Laaksonen, Timo

    2013-11-01

    Nanofibrillar cellulose (NFC) (also referred to as cellulose nanofibers, nanocellulose, microfibrillated, or nanofibrillated cellulose) has recently gotten wide attention in various research areas and it has also been studied as excipient in formulation of the pharmaceutical dosage forms. Here, we have evaluated the interactions between NFC and the model drugs of different structural characteristics (size, charge, etc.). The series of permeation studies were utilized to evaluate the ability of the drugs in solution to diffuse through the thin, porous, dry NFC films. An incubation method was used to determine capacity of binding of chosen model drugs to NFC as well as isothermal titration calorimetry (ITC) to study thermodynamics of the binding process. A genetically engineered fusion protein carrying double cellulose binding domain was used as a positive control since its affinity and capacity of binding for NFC have already been reported. The permeation studies revealed the size dependent diffusion rate of the model drugs through the NFC films. The results of both binding and ITC studies showed that the studied drugs bind to the NFC material and indicated the pH dependence of the binding and electrostatic forces as the main mechanism. Copyright © 2013 Elsevier B.V. All rights reserved.

  5. Fomivirsen: clinical pharmacology and potential drug interactions.

    Science.gov (United States)

    Geary, Richard S; Henry, Scott P; Grillone, Lisa R

    2002-01-01

    Fomivirsen sodium is a 21-base phosphorothioate oligodeoxynucleotide complementary to the messenger RNA of the major immediate-early region proteins of human cytomegalovirus, and is a potent and selective antiviral agent for cytomegalovirus retinitis. Following intravitreal administration, fomivirsen is slowly cleared from vitreous with a half-life of approximately 55 hours in humans. Preclinical studies show that fomivirsen distributes to retina and is slowly metabolised by exonuclease digestion. Clearance from retina was shown to be similarly slow following loading from the vitreous. The estimated half-life for clearance of fomivirsen from retina was 78 hours in monkeys following a 115-microg dose. Because of the low doses coupled with slow disposition from the eye, measurable concentrations of drug are not detected in the systemic circulation following intravitreal administration. Systemically administered phosphorothioate oligodeoxynucleotides are highly bound to albumin and alpha2-macroglobulin in blood plasma. Because fomivirsen does not compete for oxidative metabolic processes involved in clearance of many xenobiotics, the most likely mechanism for drug interactions may be altered protein binding of a coadministered drug. The extremely low systemic exposure to this oligodeoxynucleotide following intravitreal administration largely negates its potential ability to interact with systemically administered drugs. Even if fomivirsen were able to access the blood, protein binding assays indicate that drugs that are site I and site II binders of albumin (warfarin, ibuprofen, salicylic acid) are not displaced in the presence of phosphorothioate oligodeoxynucleotides of various sequences at concentrations orders of magnitude higher than that seen for fomivirsen. Administration of fomivirsen with numerous systemically administered antiretrovirals (for example zidovudine and zalcitabine) as well as systemically administered anticytomegalovirus agents such as foscarnet

  6. Drug-drug interactions between anti-retroviral therapies and drugs of abuse in HIV systems.

    Science.gov (United States)

    Kumar, Santosh; Rao, P S S; Earla, Ravindra; Kumar, Anil

    2015-03-01

    Substance abuse is a common problem among HIV-infected individuals. Importantly, addictions as well as moderate use of alcohol, smoking, or other illicit drugs have been identified as major reasons for non-adherence to antiretroviral therapy (ART) among HIV patients. The literature also suggests a decrease in the response to ART among HIV patients who use these substances, leading to failure to achieve optimal virological response and increased disease progression. This review discusses the challenges with adherence to ART as well as observed drug interactions and known toxicities with major drugs of abuse, such as alcohol, smoking, methamphetamine, cocaine, marijuana, and opioids. The lack of adherence and drug interactions potentially lead to decreased efficacy of ART drugs and increased ART, and drugs of abuse-mediated toxicity. As CYP is the common pathway in metabolizing both ART and drugs of abuse, we discuss the possible involvement of CYP pathways in such drug interactions. We acknowledge that further studies focusing on common metabolic pathways involving CYP and advance research in this area would help to potentially develop novel/alternate interventions and drug dose/regimen adjustments to improve medication outcomes in HIV patients who consume drugs of abuse.

  7. Prevalence of potential drug-drug interactions in cancer patients treated with oral anticancer drugs

    NARCIS (Netherlands)

    Leeuwen, R. van; Brundel, D.H.; Neef, C.; Gelder, T. van; Mathijssen, R.H.; Burger, D.M.; Jansman, F.G.A.

    2013-01-01

    Background:Potential drug-drug interactions (PDDIs) in patients with cancer are common, but have not previously been quantified for oral anticancer treatment. We assessed the prevalence and seriousness of potential PDDIs among ambulatory cancer patients on oral anticancer treatment.Methods:A search

  8. Prevalence of potential drug-drug interactions in cancer patients treated with oral anticancer drugs

    NARCIS (Netherlands)

    R.W.F. van Leeuwen (Roelof); D.H.S. Brundel (D. H S); C. Neef (Cees); T. van Gelder (Teun); A.H.J. Mathijssen (Ron); D.M. Burger (David); F.G.A. Jansman (Frank)

    2013-01-01

    textabstractBackground: Potential drug-drug interactions (PDDIs) in patients with cancer are common, but have not previously been quantified for oral anticancer treatment. We assessed the prevalence and seriousness of potential PDDIs among ambulatory cancer patients on oral anticancer treatment.

  9. Prevalence of potential drug-drug interactions in cancer patients treated with oral anticancer drugs

    NARCIS (Netherlands)

    van Leeuwen, R. W. F.; Brundel, D. H. S.; Neef, C.; van Gelder, T.; Mathijssen, R. H. J.; Burger, D. M.; Jansman, F. G. A.

    2013-01-01

    Background: Potential drug-drug interactions (PDDIs) in patients with cancer are common, but have not previously been quantified for oral anticancer treatment. We assessed the prevalence and seriousness of potential PDDIs among ambulatory cancer patients on oral anticancer treatment. Methods: A

  10. Pharmacodynamics and common drug-drug interactions of the third-generation antiepileptic drugs.

    Science.gov (United States)

    Stefanović, Srđan; Janković, Slobodan M; Novaković, Milan; Milosavljević, Marko; Folić, Marko

    2018-02-01

    Anticonvulsants that belong to the third generation are considered as 'newer' antiepileptic drugs, including: eslicarbazepine acetate, lacosamide, perampanel, brivaracetam, rufinamide and stiripentol. Areas covered: This article reviews pharmacodynamics (i.e. mechanisms of action) and clinically relevant drug-drug interactions of the third-generation antiepileptic drugs. Expert opinion: Newer antiepileptic drugs have mechanisms of action which are not shared with the first and the second generation anticonvulsants, like inhibition of neurotransmitters release, blocking receptors for excitatory amino acids and new ways of sodium channel inactivation. New mechanisms of action increase chances of controlling forms of epilepsy resistant to older anticonvulsants. Important advantage of the third-generation anticonvulsants could be their little propensity for interactions with both antiepileptic and other drugs observed until now, making prescribing much easier and safer. However, this may change with new studies specifically designed to discover drug-drug interactions. Although the third-generation antiepileptic drugs enlarged therapeutic palette against epilepsy, 20-30% of patients with epilepsy is still treatment-resistant and need new pharmacological approach. There is great need to explore all molecular targets that may directly or indirectly be involved in generation of seizures, so a number of candidate compounds for even newer anticonvulsants could be generated.

  11. [Food-drug interactions: an underestimated risk].

    Science.gov (United States)

    Sönnichsen, A C; Donner-Banzhoff, N; Baum, E

    2005-11-03

    With only few exceptions, administration of medicaments should, in principle, be independent of food intake (at least half an hour before or two hours after eating). This ensures uniform and assessable bioavailability. However, it also entails the risk that the patient is more likely to forget to take medication postponed to 2 hours after a meal, than when it is directly coupled to a meal. Certain foodstuffs or food constituents, such as, for example, grapefruit, Seville orange juice, red wine, alcoholic drinks in general, or large quantities of caffeine and garlic should be avoided during drug treatment. In addition, specific interactions with certain drugs must also be taken into account (e.g. MAO inhibitors and tyramine, curamine and vitamin K).

  12. Compliance with national guidelines for the management of drug-drug interactions in Dutch community pharmacies.

    NARCIS (Netherlands)

    Buurma, H.; Schalekamp, T.; Egberts, A.C.G.; Smet, P.A.G.M. de

    2007-01-01

    BACKGROUND: Pharmacists contribute to the detection and prevention of drug therapy-related problems, including drug-drug interactions. Little is known about compliance with pharmacy practice guidelines for the management of drug-drug interaction alerts. OBJECTIVE: To measure the compliance of

  13. Interaction of tinnitus suppression and hearing ability after cochlear implantation.

    Science.gov (United States)

    Wang, Qian; Li, Jia-Nan; Lei, Guan-Xiong; Chen, Dai-Shi; Wang, Wei-Ze; Chen, Ai-Ting; Mong, Meng-Di; Li, Sun; Jiao, Qing-Shan; Yang, Shi-Ming

    2017-10-01

    To study the postoperative impact of cochlear implants (CIs) on tinnitus, as well as the impact of tinnitus on speech recognition with CI switched on. Fifty-two postlingual deafened CI recipients (21 males and 31 females) were assessed using an established Tinnitus Characteristics Questionnaire and Tinnitus Handicap Inventory (THI) before and after cochlear implantation. The tinnitus loudness was investigated when CI was switched on and off in CI recipients with persistent tinnitus. The relation between tinnitus loudness and recipients' satisfaction of cochlear implantation was analyzed by the visual analogue scale (VAS) score. With CI 'OFF', 42 CI recipients experienced tinnitus postimplant ipsilaterally and 44 contralaterally. Tinnitus was totally suppressed ipsilateral to the CI with CI 'ON' in 42.9%, partially suppressed in 42.9%, unchanged in 11.9% and aggravated in 2.4%. Tinnitus was totally suppressed contralaterally with CI 'ON' in 31.8% of CI recipients, partially suppressed in 47.7%, unchanged in 20.5%. Pearson correlation analysis showed that tinnitus loudness and the results of cochlear implant patients satisfaction was negatively correlated (r = .674, p tinnitus. The tinnitus loudness may affect patients' satisfaction with the use of CI.

  14. Drug interactions in primary health care in the George subdistrict ...

    African Journals Online (AJOL)

    Drug interactions in primary health care in the George subdistrict, South Africa: a cross-sectional study. PA Kapp, AC Klop, LS Jenkins. Abstract. Objectives: To investigate the prevalence of potential drug-drug interactions in primary healthcare clinics in the George subdistrict, to determine which drugs were involved, and to ...

  15. Radiopharmaceuticals drug interactions: a critical review

    Directory of Open Access Journals (Sweden)

    Ralph Santos-Oliveira

    2008-12-01

    Full Text Available Radiopharmaceuticals play a critical role in modern medicine primarily for diagnostic purposes, but also for monitoring disease progression and response to treatment. As the use of image has been increased, so has the use of prescription medications. These trends increase the risk of interactions between medications and radiopharmaceuticals. These interactions which have an impact on image by competing with the radiopharmaceutical for binding sites for example can lead to false negative results. Drugs that accelerate the metabolism of the radiopharmaceutical can have a positive impact (i.e. speeding its clearance or, if repeating image is needed, a negative impact. In some cases, for example in cardiac image among patients taking doxirubacin, these interactions may have a therapeutic benefit. The incidence of drug-radiopharmaceuticals adverse reactions is unknown, since they may not be reported or even recognized. Here,we compiled the medical literature, using the criteria of a systematic review established by the Cochrane Collaboration, on pharmaceutical-drug interactions to provide a summary of documented interactions by organ system and radiopharmaceuticals. The purpose is to provide a reference on drug interactions that could inform the nuclear medicine staff in their daily routine. Efforts to increase adverse event reporting, and ideally consolidate reports worldwide, can provide a critically needed resource for prevention of drug-radiopharmaceuticals interactions.Os radiofármacos desempenham função crítica na medicina moderna, primariamente para fins diagnósticos, mas também no monitoramento da progressão de doenças assim como na avaliação de respostas ao tratamento. O uso da tecnologia por imagem tem crescido e conseqüentemente as prescrições de medicamentos (radiofármacos em especial com esse propósito. Este fato, aumenta o risco de interações entre medicamentos e radiofármacos. Interações que podem ter um impacto na

  16. Computational prediction of drug-drug interactions based on drugs functional similarities.

    Science.gov (United States)

    Ferdousi, Reza; Safdari, Reza; Omidi, Yadollah

    2017-06-01

    Therapeutic activities of drugs are often influenced by co-administration of drugs that may cause inevitable drug-drug interactions (DDIs) and inadvertent side effects. Prediction and identification of DDIs are extremely vital for the patient safety and success of treatment modalities. A number of computational methods have been employed for the prediction of DDIs based on drugs structures and/or functions. Here, we report on a computational method for DDIs prediction based on functional similarity of drugs. The model was set based on key biological elements including carriers, transporters, enzymes and targets (CTET). The model was applied for 2189 approved drugs. For each drug, all the associated CTETs were collected, and the corresponding binary vectors were constructed to determine the DDIs. Various similarity measures were conducted to detect DDIs. Of the examined similarity methods, the inner product-based similarity measures (IPSMs) were found to provide improved prediction values. Altogether, 2,394,766 potential drug pairs interactions were studied. The model was able to predict over 250,000 unknown potential DDIs. Upon our findings, we propose the current method as a robust, yet simple and fast, universal in silico approach for identification of DDIs. We envision that this proposed method can be used as a practical technique for the detection of possible DDIs based on the functional similarities of drugs. Copyright © 2017. Published by Elsevier Inc.

  17. [Interactions between herbal medicines and drugs].

    Science.gov (United States)

    Tůmová, L

    2000-07-01

    At present the use of medicaments of plant origin is on the increase. It is therefore necessary to take into consideration that there exist known as well as potential interactions between the medicament of the medicinal plant. The problematic plants include Echinacea, Allium cepa, Gingko biloba, Panax ginseng, as well as Hypericum perforatum, Valeriana officinalis, or Glycyrrhiza glabra. Its use should be limited, or completely excluded in the cases of simultaneous therapy with, e.g., warfarin, hepatotoxically acting medicaments, MAOI inhibitors, phenelzin sulphate, or phenytoin, as they may decrease of completely eliminate the therapeutic effect of the administered drugs, or they may cause a toxic damage to the organism.

  18. Anticoagulant Medicine: Potential for Drug-Food Interactions

    Science.gov (United States)

    ... Medications Anticoagulants and Drug-Food Interactions Anticoagulants and Drug-Food Interactions Make an Appointment Ask a Question Refer Patient ... Jewish Health wants you to be aware these drug-food interactions when taking anticoagulant medicine. Ask your health care ...

  19. Comparative analysis of three drug-drug interaction screening systems against probable clinically relevant drug-drug interactions: a prospective cohort study.

    Science.gov (United States)

    Muhič, Neža; Mrhar, Ales; Brvar, Miran

    2017-07-01

    Drug-drug interaction (DDI) screening systems report potential DDIs. This study aimed to find the prevalence of probable DDI-related adverse drug reactions (ADRs) and compare the clinical usefulness of different DDI screening systems to prevent or warn against these ADRs. A prospective cohort study was conducted in patients urgently admitted to medical departments. Potential DDIs were checked using Complete Drug Interaction®, Lexicomp® Online™, and Drug Interaction Checker®. The study team identified the patients with probable clinically relevant DDI-related ADRs on admission, the causality of which was assessed using the Drug Interaction Probability Scale (DIPS). Sensitivity, specificity, and positive and negative predictive values of screening systems to prevent or warn against probable DDI-related ADRs were evaluated. Overall, 50 probable clinically relevant DDI-related ADRs were found in 37 out of 795 included patients taking at least two drugs, most common of them were bleeding, hyperkalemia, digitalis toxicity, and hypotension. Complete Drug Interaction showed the best sensitivity (0.76) for actual DDI-related ADRs, followed by Lexicomp Online (0.50), and Drug Interaction Checker (0.40). Complete Drug Interaction and Drug Interaction Checker had positive predictive values of 0.07; Lexicomp Online had 0.04. We found no difference in specificity and negative predictive values among these systems. DDI screening systems differ significantly in their ability to detect probable clinically relevant DDI-related ADRs in terms of sensitivity and positive predictive value.

  20. Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro

    Science.gov (United States)

    Yoshida, Mari; Reyes, Sabrina Galiñanes; Tsuda, Soichiro; Horinouchi, Takaaki; Furusawa, Chikara; Cronin, Leroy

    2017-06-01

    Multi-drug strategies have been attempted to prolong the efficacy of existing antibiotics, but with limited success. Here we show that the evolution of multi-drug-resistant Escherichia coli can be manipulated in vitro by administering pairs of antibiotics and switching between them in ON/OFF manner. Using a multiplexed cell culture system, we find that switching between certain combinations of antibiotics completely suppresses the development of resistance to one of the antibiotics. Using this data, we develop a simple deterministic model, which allows us to predict the fate of multi-drug evolution in this system. Furthermore, we are able to reverse established drug resistance based on the model prediction by modulating antibiotic selection stresses. Our results support the idea that the development of antibiotic resistance may be potentially controlled via continuous switching of drugs.

  1. Sex-dimorphic adverse drug reactions to immune suppressive agents in inflammatory bowel disease

    NARCIS (Netherlands)

    Z. Zelinkova (Zuzana); E. Bultman (Evelien); L. Vogelaar (Lauran); C. Bouziane (Cheima); E.J. Kuipers (Ernst); C.J. van der Woude (Janneke)

    2012-01-01

    textabstractAIM: To analyze sex differences in adverse drug reactions (ADR) to the immune suppressive medication in inflammatory bowel disease (IBD) patients. METHODS: All IBD patients attending the IBD outpatient clinic of a referral hospital were identifed through the electronic diagnosis

  2. Charmonia suppression in nucleus-nucleus interactions at CERN SPS

    CERN Document Server

    Arnaldi, R; Alexa, C; Arnaldi, R; Atayan, M; Baglin, C; Baldit, A; Bedjidian, M; Beolè, S; Boldea, V; Bordalo, P; Borenstein, S R; Borges, G; Bussière, A; Capelli, L; Castanier, C; Castor, J I; Chaurand, B; Cheynis, B; Chiavassa, E; Cicalò, C; Claudino, T; Comets, M P; Constantinescu, S; Cortese, P; Cruz, J; De Falco, A; De Marco, N; Dellacasa, G; Devaux, A; Dita, S; Drapier, O; Espagnon, B; Fargeix, J; Force, P; Gallio, M; Gavrilov, Yu K; Gerschel, C; Giubellino, P; Golubeva, M B; Gonin, M; Grigorian, A A; Grigorian, S; Grossiord, J Y; Guber, F F; Guichard, A; Gulkanian, H R; Hakobyan, R S; Haroutunian, R; Idzik, M; Jouan, D; Karavitcheva, T L; Kluberg, L; Kurepin, A B; Le Bornec, Y; Lourenço, C; Macciotta, P; MacCormack, M; Marzari-Chiesa, A; Masera, M; Masoni, A; Monteno, M; Musso, A; Petiau, P; Piccotti, A; Pizzi, J R; Prado da Silva, W L; Prino, F; Puddu, G; Quintans, C; Ramello, L; Ramos, S; Rato-Mendes, P; Riccati, L; Romana, A; Scalas, E; Saturnini, P; Scomparin, E; Serci, S; Shahoyan, R; Sigaudo, F; Sitta, M; Sonderegger, P; Tarrago, X; Topilskaya, N S; Usai, G L; Vercellin, E; Villatte, L; Willis, N; Wu, T

    2004-01-01

    The NA50 experiment at CERN SPS has studied charmonium production in Pb-Pb collisions at 158 GeV/c per nucleon. According to the theoretical predictions the observation of the suppression of the J/ psi production yield is expected to be an unambiguous probe for a phase transition from ordinary nuclear matter towards a state in which quarks and gluons are deconfined. (10 refs).

  3. Severe potential drug-drug interactions in older adults with dementia and associated factors

    Directory of Open Access Journals (Sweden)

    Michele Bogetti-Salazar

    2016-01-01

    Full Text Available OBJECTIVE: To identify the main severe potential drug-drug interactions in older adults with dementia and to examine the factors associated with these interactions. METHOD: This was a cross-sectional study. The enrolled patients were selected from six geriatrics clinics of tertiary care hospitals across Mexico City. The patients had received a clinical diagnosis of dementia based on the current standards and were further divided into the following two groups: those with severe drug-drug interactions (contraindicated/severe (n=64 and those with non-severe drug-drug interactions (moderate/minor/absent (n=117. Additional socio-demographic, clinical and caregiver data were included. Potential drug-drug interactions were identified using Micromedex Drug Reax 2.0® database. RESULTS: A total of 181 patients were enrolled, including 57 men (31.5% and 124 women (68.5% with a mean age of 80.11±8.28 years. One hundred and seven (59.1% patients in our population had potential drug-drug interactions, of which 64 (59.81% were severe/contraindicated. The main severe potential drug-drug interactions were caused by the combinations citalopram/anti-platelet (11.6%, clopidogrel/omeprazole (6.1%, and clopidogrel/aspirin (5.5%. Depression, the use of a higher number of medications, dementia severity and caregiver burden were the most significant factors associated with severe potential drug-drug interactions. CONCLUSIONS: Older people with dementia experience many severe potential drug-drug interactions. Anti-depressants, antiplatelets, anti-psychotics and omeprazole were the drugs most commonly involved in these interactions. Despite their frequent use, anti-dementia drugs were not involved in severe potential drug-drug interactions. The number and type of medications taken, dementia severity and depression in patients in addition to caregiver burden should be considered to avoid possible drug interactions in this population.

  4. Physicians' responses to computerized drug interaction alerts with password overrides.

    Science.gov (United States)

    Nasuhara, Yasuyuki; Sakushima, Ken; Endoh, Akira; Umeki, Reona; Oki, Hiromitsu; Yamada, Takehiro; Iseki, Ken; Ishikawa, Makoto

    2015-08-28

    Although evidence has suggested that computerized drug-drug interaction alert systems may reduce the occurrence of drug-drug interactions, the numerous reminders and alerts generated by such systems could represent an excessive burden for clinicians, resulting in a high override rate of not only unimportant, but also important alerts. We analyzed physicians' responses to alerts of relative contraindications and contraindications for coadministration in a computerized drug-drug interaction alert system at Hokkaido University Hospital. In this system, the physician must enter a password to override an alert and continue an order. All of the drug-drug interaction alerts generated between December 2011 and November 2012 at Hokkaido University Hospital were included in this study. The system generated a total of 170 alerts of relative contraindications and contraindication for coadministration; 59 (34.7 %) of the corresponding orders were cancelled after the alert was accepted, and 111 (65.3 %) were overridden. The most frequent contraindication alert was for the combination of 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors and fibrates. No incidents involving drug-drug interactions were reported among patients who were prescribed contraindicated drug pairs after an override. Although computerized drug-drug interaction alert systems that require password overrides appear useful for promoting medication safety, having to enter passwords to override alerts may represent an excessive burden for the prescribing physician. Therefore, both patient safety and physicians' workloads should be taken into consideration in future designs of computerized drug-drug interaction alert systems.

  5. From malaria to cancer: Computational drug repositioning of amodiaquine using PLIP interaction patterns.

    Science.gov (United States)

    Salentin, Sebastian; Adasme, Melissa F; Heinrich, Jörg C; Haupt, V Joachim; Daminelli, Simone; Zhang, Yixin; Schroeder, Michael

    2017-09-12

    Drug repositioning identifies new indications for known drugs. Here we report repositioning of the malaria drug amodiaquine as a potential anti-cancer agent. While most repositioning efforts emerge through serendipity, we have devised a computational approach, which exploits interaction patterns shared between compounds. As a test case, we took the anti-viral drug brivudine (BVDU), which also has anti-cancer activity, and defined ten interaction patterns using our tool PLIP. These patterns characterise BVDU's interaction with its target s. Using PLIP we performed an in silico screen of all structural data currently available and identified the FDA approved malaria drug amodiaquine as a promising repositioning candidate. We validated our prediction by showing that amodiaquine suppresses chemoresistance in a multiple myeloma cancer cell line by inhibiting the chaperone function of the cancer target Hsp27. This work proves that PLIP interaction patterns are viable tools for computational repositioning and can provide search query information from a given drug and its target to identify structurally unrelated candidates, including drugs approved by the FDA, with a known safety and pharmacology profile. This approach has the potential to reduce costs and risks in drug development by predicting novel indications for known drugs and drug candidates.

  6. Drug-drug interactions in prescriptions for hospitalized elderly with Acute Coronary Syndrome

    Directory of Open Access Journals (Sweden)

    Tiago Aparecido Maschio de Lima

    2017-11-01

    Full Text Available The objective was to determine the rate of potential drug-drug interactions in prescriptions for elderly diagnosed with Acute Coronary Syndrome in a teaching hospital. This is an exploratory, descriptive study that analyzed 607 prescriptions through databases to identify and classify the interactions based on intensity (major, moderate or minor, the mechanism (pharmacokinetic or pharmacodynamics and documentation relevance. We detected 10,162 drug-drug interactions, distributed in 554 types of different combinations within the prescribed drugs, and 99% of prescriptions presented at least one and a maximum of 53 interactions; highlighting the prevalence of major and moderates ones. There was a correlation between the number of drug-drug interactions and the number of prescribed drugs and the hospitalization time. This study contributes for the delimitation of a prevalence pattern in drug-drug interactions in prescriptions for Acute Coronary Syndrome, besides subsidizing the importance of the effective implementation of the Clinical Pharmacy in teaching hospitals.

  7. Clinical relevance of drug-drug interactions : a structured assessment procedure.

    NARCIS (Netherlands)

    Roon, E.N. van; Flikweert, S.; Comte, M. le; Langendijk, P.N.; Kwee-Zuiderwijk, W.J.; Smits, P.; Brouwers, J.R.B.J.

    2005-01-01

    INTRODUCTION: Computerised drug interaction surveillance systems (CIS) may be helpful in detecting clinically significant drug interactions. Experience with CIS reveals that they often yield alerts with questionable clinical significance, fail to provide relevant information on risk factors for the

  8. Clinical relevance of drug-drug interactions - A structured assessment procedure

    NARCIS (Netherlands)

    van Roon, EN; Flikweert, S; le Comte, M; Langendijk, PNJ; Kwee-Zuiderwijk, WJM; Smits, P; Brouwers, JRBJ

    2005-01-01

    Introduction: Computerised drug interaction surveillance systems (CIS) may be helpful in detecting clinically significant drug interactions. Experience with CIS C, reveals that they often yield alerts with questionable clinical significance, fail to provide relevant information on risk factors for

  9. Pharmacogenomic study using bio- and nanobioelectrochemistry: Drug-DNA interaction.

    Science.gov (United States)

    Hasanzadeh, Mohammad; Shadjou, Nasrin

    2016-04-01

    Small molecules that bind genomic DNA have proven that they can be effective anticancer, antibiotic and antiviral therapeutic agents that affect the well-being of millions of people worldwide. Drug-DNA interaction affects DNA replication and division; causes strand breaks, and mutations. Therefore, the investigation of drug-DNA interaction is needed to understand the mechanism of drug action as well as in designing DNA-targeted drugs. On the other hand, the interaction between DNA and drugs can cause chemical and conformational modifications and, thus, variation of the electrochemical properties of nucleobases. For this purpose, electrochemical methods/biosensors can be used toward detection of drug-DNA interactions. The present paper reviews the drug-DNA interactions, their types and applications of electrochemical techniques used to study interactions between DNA and drugs or small ligand molecules that are potentially of pharmaceutical interest. The results are used to determine drug binding sites and sequence preference, as well as conformational changes due to drug-DNA interactions. Also, the intention of this review is to give an overview of the present state of the drug-DNA interaction cognition. The applications of electrochemical techniques for investigation of drug-DNA interaction were reviewed and we have discussed the type of qualitative or quantitative information that can be obtained from the use of each technique. Copyright © 2015 Elsevier B.V. All rights reserved.

  10. THE POPULATION IMPACT OF ELIMINATING HOMELESSNESS ON HIV VIRAL SUPPRESSION AMONG PEOPLE WHO USE DRUGS

    Science.gov (United States)

    Marshall, Brandon D.L.; Elston, Beth; Dobrer, Sabina; Parashar, Surita; Hogg, Robert S.; Montaner, Julio S.G.; Kerr, Thomas; Wood, Evan; Milloy, M-J

    2015-01-01

    Objective We sought to estimate the change in viral suppression prevalence if homelessness were eliminated from a population of HIV-infected people who use drugs (PWUD). Design Community-recruited prospective cohort of HIV-infected PWUD in Vancouver, Canada. Behavioral information was collected at baseline and linked to a province-wide HIV/AIDS treatment database. The primary outcome was viral suppression (<50 copies/mL) measured during subsequent routine clinical care. Methods We employed an imputation-based marginal modelling approach. First, we used modified Poisson regression to obtain effect estimates (adjusting for sociodemographics, substance use, addiction treatment, and other confounders). Then, we imputed an outcome probability for each individual while manipulating the exposure (homelessness). Population viral suppression prevalence under realized and “housed” scenarios were obtained by averaging these probabilities across the population. Bootstrapping was conducted to calculate 95% confidence limits. Results Of 706 individuals interviewed between January 2005 and December 2015, the majority was male (66.0%), of Caucasian race/ethnicity (55.1%), and had a history of injection (93.6%). At first study visit, 223 (31.6%) reported recent homelessness, and 37.8% were subsequently identified as virally suppressed. Adjusted marginal models estimated a 15.1% relative increase (95%CI: 9.0%, 21.7%) in viral suppression in the entire population—to 43.5% (95%CI: 39.4%, 48.2%)—if all homeless individuals were housed. Among those homeless, eliminating this exposure would increase viral suppression from 22.0% to 40.1% (95%CI: 35.1%, 46.1%), an 82.3% relative increase. Conclusions Interventions to house homeless, HIV-positive individuals who use drugs could significantly increase population viral suppression. Such interventions should be implemented as a part of renewed HIV/AIDS prevention and treatment efforts. PMID:26636924

  11. Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data.

    Science.gov (United States)

    Zhang, Wen; Chen, Yanlin; Liu, Feng; Luo, Fei; Tian, Gang; Li, Xiaohong

    2017-01-05

    Drug-drug interactions (DDIs) are one of the major concerns in drug discovery. Accurate prediction of potential DDIs can help to reduce unexpected interactions in the entire lifecycle of drugs, and are important for the drug safety surveillance. Since many DDIs are not detected or observed in clinical trials, this work is aimed to predict unobserved or undetected DDIs. In this paper, we collect a variety of drug data that may influence drug-drug interactions, i.e., drug substructure data, drug target data, drug enzyme data, drug transporter data, drug pathway data, drug indication data, drug side effect data, drug off side effect data and known drug-drug interactions. We adopt three representative methods: the neighbor recommender method, the random walk method and the matrix perturbation method to build prediction models based on different data. Thus, we evaluate the usefulness of different information sources for the DDI prediction. Further, we present flexible frames of integrating different models with suitable ensemble rules, including weighted average ensemble rule and classifier ensemble rule, and develop ensemble models to achieve better performances. The experiments demonstrate that different data sources provide diverse information, and the DDI network based on known DDIs is one of most important information for DDI prediction. The ensemble methods can produce better performances than individual methods, and outperform existing state-of-the-art methods. The datasets and source codes are available at https://github.com/zw9977129/drug-drug-interaction/ .

  12. Clinical risk management in Dutch community pharmacies: the case of drug-drug interactions.

    NARCIS (Netherlands)

    Buurma, H.; Smet, P.A.G.M. de; Egberts, A.C.G.

    2006-01-01

    BACKGROUND: The prevention of drug-drug interactions requires a systematic approach for which the concept of clinical risk management can be used. The objective of our study was to measure the frequency, nature and management of drug-drug interaction alerts as these occur in daily practice of Dutch

  13. Drug interactions and clinical pharmacokinetics of flumazenil.

    Science.gov (United States)

    Klotz, U

    1988-01-01

    Flumazenil (Ro 15-1788) is a specific benzodiazepine antagonist that can selectively prevent or abolish at the receptor level all centrally mediated effects of benzodiazepines. Following oral administration, flumazenil is absorbed rapidly (peak concentrations are achieved after 20-90 min absorption half-life 0.3 h) but bio-availability is low (16%) owing to significant pre-systemic elimination. As less than 0.2% of an i.v. dose is recovered as unchanged drug in the urine, extensive metabolism must occur and so far three metabolites of flumazenil (N-demethylated and/or hydrolysed products and corresponding glucuronides) have been identified. In the clinical use of flumazenil, rapid onset of action is mandatory. This is facilitated by its fast uptake and regional brain distribution, as verified by positron emission tomography (PET). The limited duration of the benzodiazepine-antagonistic action of flumazenil (2-3 h) is due to its rapid hepatic elimination. This can be characterized either by the short half-life of 0.7-1.3 h or, better, by the high plasma and blood clearance of 520-1300 ml min-1. The low plasma protein binding of flumazenil (about 40%) will not limit its wide distribution (apparent distribution volume 0.6-1 kg) or its partly flow-dependent hepatic elimination. In interaction studies with healthy volunteers, with either midazolam, lormetazepam and flunitrazepam or ethanol, it was found that the disposition of flumazenil was not affected by co-administration of these four drugs. Consequently, pharmacokinetic interactions between benzodiazepines (or alcohol) can be ruled out. So far the pharmacokinetics of the antagonist have been evaluated only in healthy volunteers.(ABSTRACT TRUNCATED AT 250 WORDS)

  14. Development and trial of the drug interaction database system

    Directory of Open Access Journals (Sweden)

    Virasakdi Chongsuvivatwong

    2003-07-01

    Full Text Available The drug interaction database system was originally developed at Songklanagarind Hospital. Data sets of drugs available in Songklanagarind Hospital comprising standard drug names, trade names, group names, and drug interactions were set up using Microsoft® Access 2000. The computer used was a Pentium III processor running at 450 MHz with 128 MB SDRAM operated by Microsoft® Windows 98. A robust structured query language algorithm was chosen for detecting interactions. The functioning of this database system, including speed and accuracy of detection, was tested at Songklanagarind Hospital and Naratiwatrachanagarind Hospital using hypothetical prescriptions. Its use in determining the incidence of drug interactions was also evaluated using a retrospective prescription data file. This study has shown that the database system correctly detected drug interactions from prescriptions. Speed of detection was approximately 1 to 2 seconds depending on the size of prescription. The database system was of benefit in determining of incidence rate of drug interaction in a hospital.

  15. BRCA1: RB Interaction in Breast Cancer Suppression

    National Research Council Canada - National Science Library

    Fan, Saijun

    2001-01-01

    .... Recent studies suggest that the tumor suppressor activity of BRCAl is due, in part, to physical/functional interactions with other tumor suppressors, including p53 and the retinoblastoma (RB) protein...

  16. BRCA1: RB Interaction in Breast Cancer Suppression

    National Research Council Canada - National Science Library

    Fan, Saijun

    2000-01-01

    .... Recent studies suggest that the tumor suppressor activity of BRCAl is due, in part, to physical/functional interactions with other tumor suppressors, including p53 and the retinoblastoma (RB) protein...

  17. Clinical Drug-Drug Pharmacokinetic Interaction Potential of Sucralfate with Other Drugs: Review and Perspectives.

    Science.gov (United States)

    Sulochana, Suresh P; Syed, Muzeeb; Chandrasekar, Devaraj V; Mullangi, Ramesh; Srinivas, Nuggehally R

    2016-10-01

    Sucralfate, a complex of aluminium hydroxide with sulfated sucrose, forms a strong gastrointestinal tract (GIT) mucosal barrier with excellent anti-ulcer property. Because sucralfate does not undergo any significant oral absorption, sucralfate resides in the GIT for a considerable length of time. The unabsorbed sucralfate may alter the pharmacokinetics of the oral drugs by impeding its absorption and reducing the oral bioavailability. Because of the increased use of sucralfate, it was important to provide a reappraisal of the published clinical drug-drug interaction studies of sucralfate with scores of drugs. This review covers several category of drugs such as non-steroidal anti-inflammatory drugs, fluoroquinolones, histamine H2-receptor blockers, macrolides, anti-fungals, anti-diabetics, salicylic acid derivatives, steroidal anti-inflammatory drugs and provides pharmacokinetic data summary along with study design, objectives and key remarks. While the loss of oral bioavailability was significant for the fluoroquinolone class, it generally varied for other classes of drugs, suggesting that impact of the co-administration of sucralfate is manageable in clinical situations. Given the technology advancement in formulation development, it may be in order feasible to develop appropriate formulation strategies to either avoid or minimize the absorption-related issues when co-administered with sucralfate. It is recommended that consideration of both in vitro and preclinical studies may be in order to gauge the level of interaction of a drug with sucralfate. Such data may aid in the development of appropriate strategies to navigate the co-administration of sucralfate with other drugs in this age of polypharmacy.

  18. Antiretroviral Drug Interactions: Overview of Interactions Involving New and Investigational Agents and the Role of Therapeutic Drug Monitoring for Management

    Directory of Open Access Journals (Sweden)

    R. Chris Rathbun

    2011-10-01

    Full Text Available Antiretrovirals are prone to drug-drug and drug-food interactions that can result in subtherapeutic or supratherapeutic concentrations. Interactions between antiretrovirals and medications for other diseases are common due to shared metabolism through cytochrome P450 (CYP450 and uridine diphosphate glucuronosyltransferase (UGT enzymes and transport by membrane proteins (e.g., p-glycoprotein, organic anion-transporting polypeptide. The clinical significance of antiretroviral drug interactions is reviewed, with a focus on new and investigational agents. An overview of the mechanistic basis for drug interactions and the effect of individual antiretrovirals on CYP450 and UGT isoforms are provided. Interactions between antiretrovirals and medications for other co-morbidities are summarized. The role of therapeutic drug monitoring in the detection and management of antiretroviral drug interactions is also briefly discussed.

  19. Drug-Gene Interactions between Genetic Polymorphisms and Antihypertensive Therapy

    NARCIS (Netherlands)

    Schelleman, Hedi; Stricker, Bruno H Ch; De Boer, Anthonius; Kroon, Abraham A; Verschuren, Monique W M; Van Duijn, Cornelia M; Psaty, Bruce M; Klungel, Olaf H

    2004-01-01

    Genetic factors may influence the response to antihypertensive medication. A number of studies have investigated genetic polymorphisms as determinants of cardiovascular response to antihypertensive drug therapy. In most candidate gene studies, no such drug-gene interactions were found. However,

  20. A regulatory science viewpoint on botanical–drug interactions

    Directory of Open Access Journals (Sweden)

    Manuela Grimstein

    2018-04-01

    Full Text Available There is a continued predisposition of concurrent use of drugs and botanical products. Consumers often self-administer botanical products without informing their health care providers. The perceived safety of botanical products with lack of knowledge of the interaction potential poses a challenge for providers and both efficacy and safety concerns for patients. Botanical–drug combinations can produce untoward effects when botanical constituents modulate drug metabolizing enzymes and/or transporters impacting the systemic or tissue exposure of concomitant drugs. Examples of pertinent scientific literature evaluating the interaction potential of commonly used botanicals in the US are discussed. Current methodologies that can be applied to advance our efforts in predicting drug interaction liability is presented. This review also highlights the regulatory science viewpoint on botanical–drug interactions and labeling implications. Keywords: Drug interaction, Botanical product, St. John's wort, Fruit juices, Regulatory science

  1. Drug-drug interactions among recently hospitalised patients--frequent but mostly clinically insignificant

    DEFF Research Database (Denmark)

    Glintborg, Bente; Andersen, Stig Ejdrup; Dalhoff, Kim

    2005-01-01

    OBJECTIVE: Patients use and store considerable amounts of drugs. The aim of the present study was to identify potential drug-drug interactions between drugs used by patients recently discharged from the hospital and, subsequently, to estimate the clinical implications of these interactions. METHODS......: Patients were visited within 1 week following their discharge from hospital and interviewed about their drug use. Stored products were inspected. We used a bibliography (Hansten and Horn; Wolters Kluwer Health, St. Louis, Mo., 2004) to identify and classify potential drug-drug interactions. RESULTS......: eight per patient; range: 1-24). With respect to those drugs used daily or on demand, 476 potential interactions were identified (126 patients); none were class 1 (always avoid drug combination) and 25 were class 2 (usually avoid combination; 24 patients). Eleven of the potential class 2 interactions...

  2. Understanding protein–protein interactions by genetic suppression

    Indian Academy of Sciences (India)

    Unknown

    Protein–protein interactions influence many cellular processes and it is increasingly being felt that even a weak and remote interplay between two subunits of a protein or between two proteins in a complex may govern the fate of a par- ticular biochemical pathway. In a bacterial system where the complete genome ...

  3. Understanding protein–protein interactions by genetic suppression

    Indian Academy of Sciences (India)

    Protein–protein interactions influence many cellular processes and it is increasingly being felt that even a weak and remote interplay between two subunits of a protein or between two proteins in a complex may govern the fate of a particular biochemical pathway. In a bacterial system where the complete genome sequence ...

  4. Proton Pump Inhibitors and Risk of Drug Interactions

    Directory of Open Access Journals (Sweden)

    S.M. Tkach

    2015-04-01

    Full Text Available In the article, the current data regarding drug interactions of proton pomp inhibitors (PPI with other preparations are discussed. It is concluded that the risk of adverse drug interactions is enhanced by the use of PPIs and drugs primarily metabolized by cytochrome isoenzyme CYP2C19. If the simultaneous application of IPP with many other drugs, including clopidogrel, is necessary, the preference should be given to pantoprazole.

  5. Polypharmacy and the risk of drug-drug interactions among Danish elderly

    DEFF Research Database (Denmark)

    Rosholm, J U; Bjerrum, L; Hallas, J

    1998-01-01

    OBJECTIVE: To analyze the use of all subsidized prescription drugs with special attention to the elderly (> or = 70 years of age), including their use of drug combination generally accepted as carrying a risk of severe interactions. DESIGN: Descriptive prevalence study. SETTING: Odense...... accepted as carrying a risk of severe interactions. RESULTS: Among persons less than 70 years, 67.9% used none, 16.5% used one drug and 15.6% used two or more prescription drugs. The corresponding prevalences for the elderly were 35.7%, 15.9% and 48.4%. The 26,337 elderly patients with at least two drugs...... used 21,293 different combinations. Of the elderly patients who had purchased > or = two drugs, 4.4% had combinations of drugs carrying a risk of severe interactions. CONCLUSIONS: Most elderly use drugs and usually several drugs concomitantly. The elderly form a heterogeneous group of drug users. Drug...

  6. Drug disposition and drug-drug interaction data in 2013 FDA new drug applications: a systematic review.

    Science.gov (United States)

    Yu, Jingjing; Ritchie, Tasha K; Mulgaonkar, Aditi; Ragueneau-Majlessi, Isabelle

    2014-12-01

    The aim of the present work was to perform a systematic review of drug metabolism, transport, pharmacokinetics, and DDI data available in the NDAs approved by the FDA in 2013, using the University of Washington Drug Interaction Database, and to highlight significant findings. Among 27 NMEs approved, 22 (81%) were well characterized with regard to drug metabolism, transport, or organ impairment, in accordance with the FDA drug interaction guidance (2012) and were fully analyzed in this review. In vitro, a majority of the NMEs were found to be substrates or inhibitors/inducers of at least one drug metabolizing enzyme or transporter. However, in vivo, only half (n = 11) showed clinically relevant drug interactions, with most related to the NMEs as victim drugs and CYP3A being the most affected enzyme. As perpetrators, the overall effects for NMEs were much less pronounced, compared with when they served as victims. In addition, the pharmacokinetic evaluation in patients with hepatic or renal impairment provided useful information for further understanding of the drugs' disposition. Copyright © 2014 by The American Society for Pharmacology and Experimental Therapeutics.

  7. Risk of Stroke-Associated Pneumonia With Acid-Suppressive Drugs: A Population-Based Cohort Study.

    Science.gov (United States)

    Ho, Sai-Wai; Hsieh, Ming-Ju; Yang, Shun-Fa; Yeh, Ying-Tung; Wang, Yu-Hsun; Yeh, Chao-Bin

    2015-07-01

    Acid-suppressive drugs, including histamine-2 receptor antagonists (H2RAs) and proton pump inhibitors (PPIs), are common medications used for treating upper gastrointestinal tract disorders. However, acid-suppressive drugs have been reported to increase the risk of pneumonia in numerous disease populations. However, the relationship between acid-suppressive drugs and stroke-associated pneumonia (SAP) remains controversial. The purpose of this study was to investigate the association between acid-suppressive drug usage and pneumonia among patients with stroke by using a nationwide data set. A population-based cohort study was conducted using a data set from the Taiwanese National Health Insurance Research Database. Data on patients with new-onset stroke from 2010 to 2011 were collected. Patients with and without acid-suppressive drug usage were followed up to identify the occurrence of any type of pneumonia. We estimated the adjusted hazard ratios (HRs) by using the Cox proportional hazards model. The study cohort comprised 7965 patients with new-onset stroke. The incidence of pneumonia was 6.9% (552/7965) and more than 40% (225/552) of patients developed pneumonia within 3 months after an acute stroke. Acid-suppressive drug usage was an independent risk factor of pneumonia. The adjusted HR for the risk of pneumonia in patients with new-onset stroke using acid-suppressive drugs was 1.44 (95% confidence interval [CI] = 1.18-1.75, P risk of chronic SAP (adjusted HR = 1.46, 95% CI = 1.04-2.05). Acid-suppressive drug usage was associated with a slightly increased risk of SAP. Physicians should exercise caution when prescribing acid-suppressive drugs to patients with stroke, particularly at the chronic stage.

  8. Emerging science, emerging ethical issues: who should fund innate alloimmunity-suppressing drugs?

    Science.gov (United States)

    Land, W G; Gutmann, Th; Daar, A S

    2008-01-01

    An emerging body of evidence suggests that the innate immune system plays a critical role in allograft rejection. Any injury to the donor organ, e.g. the reperfusion injury, induces an inflammatory milieu in the allograft which appears to be the initial event for activation of the innate immune system. Injury-induced intragraft damage- associated molecular patterns (DAMPs) are recognized by donor-derived and recipient-derived, TLR4/2-bearing immature dendritic cells (iDCs). After recognition, these cells mature and initiate allorecognition/alloactivation in the lymphoid system of the recipient. Indeed, the key "innate" event, leading to activation of the adaptive alloimmune response, is the injury-induced, TLR4-triggered, and NFkappaB-mediated maturation of DCs ("innate alloimmunity"). Time-restricted treatment of innate immune events would include 1) treatment of the donor during organ removal, 2) in-situ/ex-vivo treatment of the donor organs alone, and 3) treatment of the recipient during allograft reperfusion and immediately postoperatively. Treatment modalities would include 1) minimization of the oxidative allograft injury with the use of antioxidants; 2) prevention of the TLR4-triggered maturation of DCs with the use of TLR4-antagonists; 3) inhibition of complement activation with the use of complement inhibiting agents. According to data from clinical and experimental studies it can be assumed that successful suppression of innate alloimmune events results in either subsequent significant reduction in, or even complete avoidance of the currently applied adaptive alloimmunity-suppressing drugs. However, in view of the time-restricted period of treatment, and the fear to potentially destroy its own business with currently applied alloimmunity-suppressing drugs, the pharmaceutical industry is still, but quite legitimately, reluctant to invest in the high cost of clinical development of those drugs for transplant patients because there are no marketing interests

  9. Interactions between antiarrhythmic drugs and cardiac memory

    NARCIS (Netherlands)

    Plotnikov, A. N.; Shvilkin, A.; Xiong, W.; de Groot, J. R.; Rosenshtraukh, L.; Feinmark, S.; Gainullin, R.; Danilo, P.; Rosen, M. R.

    2001-01-01

    Ventricular pacing or arrhythmias can induce cardiac memory (CM). We hypothesized that clinically administered antiarrhythmic drugs alter the expression of CM, and that the repolarization changes characteristic of CM can modulate the effects of antiarrhythmic drugs. We studied conscious,

  10. Drug-drug interactions: new trends | Garba | Journal of ...

    African Journals Online (AJOL)

    The modification of the action of one drug by the other had been noticed for a long time. For example, in 19995, Williams (1) discovered that there was an enhanced metabolism of oestrogens caused by phenabarbital and rifampicin (all of which are now known to be inducers of drug metabolism). Chloroquine was found to ...

  11. Drug-drug interactions of antifungal agents and implications for patient care.

    Science.gov (United States)

    Gubbins, Paul O; Amsden, Jarrett R

    2005-10-01

    Drug interactions in the gastrointestinal tract, liver and kidneys result from alterations in pH, ionic complexation, and interference with membrane transport proteins and enzymatic processes involved in intestinal absorption, enteric and hepatic metabolism, renal filtration and excretion. Azole antifungals can be involved in drug interactions at all the sites, by one or more of the above mechanisms. Consequently, azoles interact with a vast array of compounds. Drug-drug interactions associated with amphotericin B formulations are predictable and result from the renal toxicity and electrolyte disturbances associated with these compounds. The echinocandins are unknown cytochrome P450 substrates and to date are relatively devoid of significant drug-drug interactions. This article reviews drug interactions involving antifungal agents that affect other agents and implications for patient care are highlighted.

  12. Detecting drug-drug interactions using a database for spontaneous adverse drug reactions : an example with diuretics and non-steroidal anti-inflammatory drugs

    NARCIS (Netherlands)

    van Puijenbroek, E P; Egberts, A C; Heerdink, E R; Leufkens, H G

    2000-01-01

    OBJECTIVE: Drug-drug interactions are relatively rarely reported to spontaneous reporting systems (SRSs) for adverse drug reactions. For this reason, the traditional approach for analysing SRS has major limitations for the detection of drug-drug interactions. We developed a method that may enable

  13. Prevalence of drug-drug interactions of antiretroviral agents in the ...

    African Journals Online (AJOL)

    drug-drug interactions (DDIs). This study aimed to determine the prevalence of possible DDIs between antiretrovirals (ARVs) themselves and other drugs. Design. Retrospective drug utilisation study using data from a national medicine claims database for the period 1 January to 31 December 2004. Setting. A section of the ...

  14. P-glycoprotein interaction with risperidone and 9-OH-risperidone studied in vitro, in knock-out mice and in drug-drug interaction experiments

    DEFF Research Database (Denmark)

    Ejsing, Thomas B.; Pedersen, Anne D.; Linnet, Kristian

    2005-01-01

    P-glycoprotein, risperidone, nortriptyline, cyclosporine A, drug-drug interaction, blood-brain barrier, knock-out mice......P-glycoprotein, risperidone, nortriptyline, cyclosporine A, drug-drug interaction, blood-brain barrier, knock-out mice...

  15. Target mediated drug disposition with drug-drug interaction, Part II: competitive and uncompetitive cases.

    Science.gov (United States)

    Koch, Gilbert; Jusko, William J; Schropp, Johannes

    2017-02-01

    We present competitive and uncompetitive drug-drug interaction (DDI) with target mediated drug disposition (TMDD) equations and investigate their pharmacokinetic DDI properties. For application of TMDD models, quasi-equilibrium (QE) or quasi-steady state (QSS) approximations are necessary to reduce the number of parameters. To realize those approximations of DDI TMDD models, we derive an ordinary differential equation (ODE) representation formulated in free concentration and free receptor variables. This ODE formulation can be straightforward implemented in typical PKPD software without solving any non-linear equation system arising from the QE or QSS approximation of the rapid binding assumptions. This manuscript is the second in a series to introduce and investigate DDI TMDD models and to apply the QE or QSS approximation.

  16. Drug utilization, prescription errors and potential drug-drug interactions: an experience in rural Sri Lanka.

    Science.gov (United States)

    Rathish, Devarajan; Bahini, Sivaswamy; Sivakumar, Thanikai; Thiranagama, Thilani; Abarajithan, Tharmarajah; Wijerathne, Buddhika; Jayasumana, Channa; Siribaddana, Sisira

    2016-06-25

    Prescription writing is a process which transfers the therapeutic message from the prescriber to the patient through the pharmacist. Prescribing errors, drug duplication and potential drug-drug interactions (pDDI) in prescriptions lead to medication error. Assessment of the above was made in prescriptions dispensed at State Pharmaceutical Corporation (SPC), Anuradhapura, Sri Lanka. A cross sectional study was conducted. Drugs were classified according to the WHO anatomical, therapeutic chemical classification system. A three point Likert scale, a checklist and Medscape online drug interaction checker were used to assess legibility, completeness and pDDIs respectively. Thousand prescriptions were collected. Majority were hand written (99.8 %) and from the private sector (73 %). The most frequently prescribed substance and subgroup were atorvastatin (4 %, n = 3668) and proton pump inhibitors (7 %, n = 3668) respectively. Out of the substances prescribed from the government and private sectors, 59 and 50 % respectively were available in the national list of essential medicines, Sri Lanka. Patients address (5 %), Sri Lanka Medical Council (SLMC) registration number (35 %), route (7 %), generic name (16 %), treatment symbol (48 %), diagnosis (41 %) and refill information (6 %) were seen in less than half of the prescriptions. Most were legible with effort (65 %) and illegibility was seen in 9 %. There was significant difference in omission and/or errors of generic name (P = 0.000), dose (P = 0.000), SLMC registration number (P = 0.000), and in evidence of pDDI (P = 0.009) with regards to the sector of prescribing. The commonest subgroup involved in duplication was non-steroidal anti-inflammatory drugs (NSAIDs) (43 %; 56/130). There were 1376 potential drug interactions (466/887 prescriptions). Most common pair causing pDDI was aspirin with losartan (4 %, n = 1376). Atorvastatin was the most frequently prescribed substance

  17. Identifying Drug–Drug Interactions by Data Mining

    DEFF Research Database (Denmark)

    Hansen, Peter Wæde; Clemmensen, Line Katrine Harder; Sehested, Thomas S.G.

    2016-01-01

    ) and two had a known interaction in a closely related drug group (oripavine derivatives [buprenorphine] and natural opium alkaloids). Antipropulsives had an unknown signal of increasing INR. Conclusions—We were able to identify known warfarin–drug interactions without a prior hypothesis using clinical...

  18. A critical evaluation of drug interactions with Echinacea spp.

    Science.gov (United States)

    Freeman, Camille; Spelman, Kevin

    2008-07-01

    Accurate information concerning drug-herb interactions is vital for both healthcare providers and patients. Unfortunately, many of the reviews on drug-herb interactions contain overstated or inaccurate information. To provide accurate information on drug-herb interactions healthcare providers must account for product verification, dosage, medicinal plant species, and plant part used. This critical review assessed the occurrence of drug interactions with one of the top selling botanical remedies, echinacea including Echinacea angustifolia, E. pallida, and E. purpurea. Only eight papers containing primary data relating to drug interactions were identified. Herbal remedies made from E. purpurea appear to have a low potential to generate cytochrome P450 (CYP 450) drug-herb interactions including CYP 450 1A2 (CYP1A2) and CYP 450 3A4 (CYP3A4). Currently there are no verifiable reports of drug-herb interactions with any echinacea product. However, further pharmacokinetic testing is necessary before conclusive statements can be made about echinacea drug-herb interactions. Given our findings, the estimated risk of taking echinacea products (1 in 100,000), the number of echinacea doses consumed yearly (> 10 million), the number of adverse events (< 100) and that the majority of use is short term, E. purpurea products (roots and/or aerial parts) do not appear to be a risk to consumers.

  19. Drug interactions at the human placenta: what is the evidence?

    Directory of Open Access Journals (Sweden)

    Miriam eRubinchik-Stern

    2012-07-01

    Full Text Available Pregnant women (and their fetuses are treated with a significant number of prescription and nonprescription medications. Interactions among those drugs may affect their efficacy and toxicity in both mother and fetus. Whereas interactions that result in altered drug concentrations in maternal plasma are detectable, those involving modulation of placental transfer mechanisms are rarely reflected by altered drug concentrations in maternal plasma. Therefore, they are often overlooked. Placental-mediated interactions are possible because the placenta is not only a passive diffusional barrier, but also expresses a variety of influx and efflux transporters and drug metabolizing enzymes. Current data on placental-mediated drug interactions are limited. In rodents, pharmacological or genetic manipulations of placental transporters significantly affect fetal drug exposure. In contrast, studies in human placentae suggest that the magnitude of such interactions is modest in most cases. Nevertheless, under certain circumstances, such interactions may be of clinical significance. This review describes currently known mechanisms of placental-mediated drug interactions and the potential implications of such interactions in humans. Better understanding of those mechanisms is important for minimizing fetal toxicity from drugs while improving their efficacy when directed to treat the fetus.

  20. A regulatory science viewpoint on botanical-drug interactions.

    Science.gov (United States)

    Grimstein, Manuela; Huang, Shiew-Mei

    2018-04-01

    There is a continued predisposition of concurrent use of drugs and botanical products. Consumers often self-administer botanical products without informing their health care providers. The perceived safety of botanical products with lack of knowledge of the interaction potential poses a challenge for providers and both efficacy and safety concerns for patients. Botanical-drug combinations can produce untoward effects when botanical constituents modulate drug metabolizing enzymes and/or transporters impacting the systemic or tissue exposure of concomitant drugs. Examples of pertinent scientific literature evaluating the interaction potential of commonly used botanicals in the US are discussed. Current methodologies that can be applied to advance our efforts in predicting drug interaction liability is presented. This review also highlights the regulatory science viewpoint on botanical-drug interactions and labeling implications. Copyright © 2018. Published by Elsevier B.V.

  1. Target-mediated drug disposition with drug-drug interaction, Part I: single drug case in alternative formulations.

    Science.gov (United States)

    Koch, Gilbert; Jusko, William J; Schropp, Johannes

    2017-02-01

    Target-mediated drug disposition (TMDD) describes drug binding with high affinity to a target such as a receptor. In application TMDD models are often over-parameterized and quasi-equilibrium (QE) or quasi-steady state (QSS) approximations are essential to reduce the number of parameters. However, implementation of such approximations becomes difficult for TMDD models with drug-drug interaction (DDI) mechanisms. Hence, alternative but equivalent formulations are necessary for QE or QSS approximations. To introduce and develop such formulations, the single drug case is reanalyzed. This work opens the route for straightforward implementation of QE or QSS approximations of DDI TMDD models. The manuscript is the first part to introduce DDI TMDD models with QE or QSS approximations.

  2. [Evaluation of pharmacokinetic drug-drug-interactions. Critical considerations of the relevance of pharmacokinetic drug-drug interactions of proton pump inhibitors in self medication].

    Science.gov (United States)

    Petersen, Karl-Uwe

    2011-08-01

    Mechanisms and evaluation of pharmacokinetic drug interactions are discussed in general, including mechanisms beyond the hepatic phase-I reactions, and especially for the example of proton pump inhibitors (PPI), preferentially omeprazole. Particular attention is paid to the use of PPI as self-prescribed drugs. The sequelae of pharmacokinetic drug interactions can be serious. However, only the evidence of clinical consequences will convert such an interaction from a laboratory finding into a possible adverse effect. Without this, interacting drugs can still be co-administered if the specific characteristics of the concerned drugs, quantitative aspects of the interaction, and especially severity and frequency of possible clinical correlates are taken into consideration. It is encouraging that the laboratory findings reported for the PPI--in vitro or ex vivo from volunteer studies--have hardly found equivalents in clinical consequences. As of today, this is also true of the widely discussed interaction with clopidogrel. Regarding the safety of use of PPI as self-prescribed drugs, it also needs to be emphasized that a sizable number of interactions reported for omeprazole and/or pantoprazole were observed at higher dose levels than the 20 mg licensed for self medication. In conjunction with the temporal limitation of PPI self-prescription (14 days), it can be expected that pharmacokinetic drug interactions will generally be no critical factor in the usage of PPI in self-medication. However clinically relevant interactions can occur, e.g. when PPI are combined with extracts from St. John's wort, methotrexat or some inhibitors of HIV-protease with pH-dependent absorption.

  3. The purpose of lexical/sublexical interaction during spelling: further evidence from dysgraphia and articulatory suppression.

    Science.gov (United States)

    Folk, Jocelyn R; Jones, Angela C

    2004-02-01

    We investigated how the lexical and sublexical processes interact in spelling using an articulatory suppression task to disrupt the sublexical process in a dysgraphic patient (JDO). Using a similar task, Folk et al. (2002) found evidence that the sublexical process interacts with the lexical process by strengthening a target word's graphemes. We replicated the findings of Folk et al. in a patient with a more severe deficit to the lexical process. We compared the error patterns produced under normal spelling conditions versus spelling during articulatory suppression and found an increase in lexical substitution errors ("thaw"-->T-H-O-U-G-H) under articulatory suppression. These findings indicate that by strengthening a target word's graphemes, the sublexical process helps to create an advantage for a target word over form-related word neighbours that compete with it for output.

  4. Biological aspects of the potential interaction between androgen suppression and radiation therapy

    International Nuclear Information System (INIS)

    Zietman, Anthony L.

    1996-01-01

    unavailable. Unlike neoadjuvant chemotherapy, there is no concomitant increase in normal tissue reactions when radiation follows androgen suppression and also unlike chemotherapy where pretreatment may lead to drug resist

  5. Time-dependent drug-drug interaction alerts in care provider order entry: software may inhibit medication error reductions

    NARCIS (Netherlands)

    I.H. van der Sijs (Heleen); L.A. Lammers (Laureen); A. van den Tweel (Annemieke); J.E.C.M. Aarts (Jos); M. Berg (Marc); A.G. Vulto (Arnold); T. van Gelder (Teun)

    2009-01-01

    textabstractTime-dependent drug-drug interactions (TDDIs) are drug combinations that result in a decreased drug effect due to coadministration of a second drug. Such interactions can be prevented by separately administering the drugs. This study attempted to reduce drug administration errors due to

  6. Food-drug interactions in older people

    NARCIS (Netherlands)

    Witkamp, R.F.

    2008-01-01

    As a general rule, the use of medication increases considerably with advancing years. In many cases, the elderly are using drugs for chronic and degenerative disease for longer periods of time. Polypharmacy, the combined use of several drugs, is generally regarded as a high risk, especially in a

  7. Deep-Learning-Based Drug-Target Interaction Prediction.

    Science.gov (United States)

    Wen, Ming; Zhang, Zhimin; Niu, Shaoyu; Sha, Haozhi; Yang, Ruihan; Yun, Yonghuan; Lu, Hongmei

    2017-04-07

    Identifying interactions between known drugs and targets is a major challenge in drug repositioning. In silico prediction of drug-target interaction (DTI) can speed up the expensive and time-consuming experimental work by providing the most potent DTIs. In silico prediction of DTI can also provide insights about the potential drug-drug interaction and promote the exploration of drug side effects. Traditionally, the performance of DTI prediction depends heavily on the descriptors used to represent the drugs and the target proteins. In this paper, to accurately predict new DTIs between approved drugs and targets without separating the targets into different classes, we developed a deep-learning-based algorithmic framework named DeepDTIs. It first abstracts representations from raw input descriptors using unsupervised pretraining and then applies known label pairs of interaction to build a classification model. Compared with other methods, it is found that DeepDTIs reaches or outperforms other state-of-the-art methods. The DeepDTIs can be further used to predict whether a new drug targets to some existing targets or whether a new target interacts with some existing drugs.

  8. Suppression of stochastic pulsation in laser-plasma interaction by smoothing methods

    Energy Technology Data Exchange (ETDEWEB)

    Hora, H. (PS-Division, CERN, CH1211 Geneva 23 (Switzerland)); Aydin, M. (Department of Theoretical Physics, University of New South Wales, Kensington 2033 (Australia))

    1992-04-15

    The control of the very complex behavior of a plasma with laser interaction by smoothing with induced spatial incoherence or other methods was related to improving the lateral uniformity of the irradiation. While this is important, it is shown from numerical hydrodynamic studies that the very strong temporal pulsation (stuttering) will mostly be suppressed by these smoothing methods too.

  9. Suppression of stochastic pulsation in laser-plasma interaction by smoothing methods

    International Nuclear Information System (INIS)

    Hora, H.; Aydin, M.

    1992-01-01

    The control of the very complex behavior of a plasma with laser interaction by smoothing with induced spatial incoherence or other methods was related to improving the lateral uniformity of the irradiation. While this is important, it is shown from numerical hydrodynamic studies that the very strong temporal pulsation (stuttering) will mostly be suppressed by these smoothing methods too

  10. Cytochrome P450 enzyme mediated herbal drug interactions (Part 1)

    Science.gov (United States)

    Wanwimolruk, Sompon; Prachayasittikul, Virapong

    2014-01-01

    It is well recognized that herbal supplements or herbal medicines are now commonly used. As many patients taking prescription medications are concomitantly using herbal supplements, there is considerable risk for adverse herbal drug interactions. Such interactions can enhance the risk for an individual patient, especially with regard to drugs with a narrow therapeutic index such as warfarin, cyclosporine A and digoxin. Herbal drug interactions can alter pharmacokinetic or/and pharmacodynamic properties of administered drugs. The most common pharmacokinetic interactions usually involve either the inhibition or induction of the metabolism of drugs catalyzed by the important enzymes, cytochrome P450 (CYP). The aim of the present article is to provide an updated review of clinically relevant metabolic CYP-mediated drug interactions between selected herbal supplements and prescription drugs. The commonly used herbal supplements selected include Echinacea, Ginkgo biloba, garlic, St. John's wort, goldenseal, and milk thistle. To date, several significant herbal drug interactions have their origins in the alteration of CYP enzyme activity by various phytochemicals. Numerous herbal drug interactions have been reported. Although the significance of many interactions is uncertain but several interactions, especially those with St. John’s wort, may have critical clinical consequences. St. John’s wort is a source of hyperforin, an active ingredient that has a strong affinity for the pregnane xenobiotic receptor (PXR). As a PXR ligand, hyperforin promotes expression of CYP3A4 enzymes in the small intestine and liver. This in turn causes induction of CYP3A4 and can reduce the oral bioavailability of many drugs making them less effective. The available evidence indicates that, at commonly recommended doses, other selected herbs including Echinacea, Ginkgo biloba, garlic, goldenseal and milk thistle do not act as potent or moderate inhibitors or inducers of CYP enzymes. A good

  11. Drug Interactions: What You Should Know

    Science.gov (United States)

    ... all OTC and prescription drugs, dietary supplements, vitamins, botanicals, minerals and herbals you take, as well as ... talk to your doctor before you take any medicine. Also, make sure you know what ingredients are ...

  12. HIV Treatment: What is a Drug Interaction?

    Science.gov (United States)

    ... is an Investigational HIV Drug? What is a Therapeutic HIV Vaccine? What is a Preventive HIV Vaccine? HIV/ ... Exposure Prophylaxis (PEP) Pre-Exposure Prophylaxis (PrEP) HIV Treatment HIV Treatment: The Basics Just Diagnosed: Next Steps After ...

  13. Screening for the drug-phospholipid interaction: correlation to phospholipidosis

    DEFF Research Database (Denmark)

    Alakoskela, Juha-Matti; Vitovic, Pavol; Kinnunen, Paavo K J

    2009-01-01

    -lipid interactions may lead to changes in lipid-dependent protein activities, and further, to functional and morphological changes in cells, a prominent example being the phospholipidosis (PLD) induced by cationic amphiphilic drugs. Herein we briefly review drug-lipid interactions in general and the significance......Phospholipid bilayers represent a complex, anisotropic environment fundamentally different from bulk oil or octanol, for instance. Even "simple" drug association to phospholipid bilayers can only be fully understood if the slab-of-hydrocarbon approach is abandoned and the complex, anisotropic...... properties of lipid bilayers reflecting the chemical structures and organization of the constituent phospholipids are considered. The interactions of drugs with phospholipids are important in various processes, such as drug absorption, tissue distribution, and subcellular distribution. In addition, drug...

  14. Interaction of amphiphilic drugs with human and bovine serum albumins.

    Science.gov (United States)

    Khan, Abbul Bashar; Khan, Javed Masood; Ali, Mohd Sajid; Khan, Rizwan Hasan; Kabir-Ud-Din

    2012-11-01

    To know the interaction of amphiphilic drugs nortriptyline hydrochloride (NOT) and promazine hydrochloride (PMZ) with serum albumins (i.e., human serum albumin (HSA) and bovine serum albumin (BSA)), techniques of UV-visible, fluorescence, and circular dichroism (CD) spectroscopies are used. The binding affinity is more in case of PMZ with both the serum albumins. The quenching rate constant (k(q)) values suggest a static quenching process for all the drug-serum albumin interactions. The UV-visible results show that the change in protein conformation of PMZ-serum albumin interactions are more prominent as compared to NOT-serum albumin interactions. The CD results also explain the conformational changes in the serum albumins on binding with the drugs. The increment in %α-helical structure is slightly more for drug-BSA complexes as compared to drug-HSA complexes. Copyright © 2012 Elsevier B.V. All rights reserved.

  15. Herb-drug interactions: challenges and opportunities for improved predictions.

    Science.gov (United States)

    Brantley, Scott J; Argikar, Aneesh A; Lin, Yvonne S; Nagar, Swati; Paine, Mary F

    2014-03-01

    Supported by a usage history that predates written records and the perception that "natural" ensures safety, herbal products have increasingly been incorporated into Western health care. Consumers often self-administer these products concomitantly with conventional medications without informing their health care provider(s). Such herb-drug combinations can produce untoward effects when the herbal product perturbs the activity of drug metabolizing enzymes and/or transporters. Despite increasing recognition of these types of herb-drug interactions, a standard system for interaction prediction and evaluation is nonexistent. Consequently, the mechanisms underlying herb-drug interactions remain an understudied area of pharmacotherapy. Evaluation of herbal product interaction liability is challenging due to variability in herbal product composition, uncertainty of the causative constituents, and often scant knowledge of causative constituent pharmacokinetics. These limitations are confounded further by the varying perspectives concerning herbal product regulation. Systematic evaluation of herbal product drug interaction liability, as is routine for new drugs under development, necessitates identifying individual constituents from herbal products and characterizing the interaction potential of such constituents. Integration of this information into in silico models that estimate the pharmacokinetics of individual constituents should facilitate prospective identification of herb-drug interactions. These concepts are highlighted with the exemplar herbal products milk thistle and resveratrol. Implementation of this methodology should help provide definitive information to both consumers and clinicians about the risk of adding herbal products to conventional pharmacotherapeutic regimens.

  16. Herb–Drug Interactions: Challenges and Opportunities for Improved Predictions

    Science.gov (United States)

    Brantley, Scott J.; Argikar, Aneesh A.; Lin, Yvonne S.; Nagar, Swati

    2014-01-01

    Supported by a usage history that predates written records and the perception that “natural” ensures safety, herbal products have increasingly been incorporated into Western health care. Consumers often self-administer these products concomitantly with conventional medications without informing their health care provider(s). Such herb–drug combinations can produce untoward effects when the herbal product perturbs the activity of drug metabolizing enzymes and/or transporters. Despite increasing recognition of these types of herb–drug interactions, a standard system for interaction prediction and evaluation is nonexistent. Consequently, the mechanisms underlying herb–drug interactions remain an understudied area of pharmacotherapy. Evaluation of herbal product interaction liability is challenging due to variability in herbal product composition, uncertainty of the causative constituents, and often scant knowledge of causative constituent pharmacokinetics. These limitations are confounded further by the varying perspectives concerning herbal product regulation. Systematic evaluation of herbal product drug interaction liability, as is routine for new drugs under development, necessitates identifying individual constituents from herbal products and characterizing the interaction potential of such constituents. Integration of this information into in silico models that estimate the pharmacokinetics of individual constituents should facilitate prospective identification of herb–drug interactions. These concepts are highlighted with the exemplar herbal products milk thistle and resveratrol. Implementation of this methodology should help provide definitive information to both consumers and clinicians about the risk of adding herbal products to conventional pharmacotherapeutic regimens. PMID:24335390

  17. Drug-drug interactions and adverse drug reactions in polypharmacy among older adults: an integrative review

    Directory of Open Access Journals (Sweden)

    Maria Cristina Soares Rodrigues

    Full Text Available ABSTRACT Objective: to identify and summarize studies examining both drug-drug interactions (DDI and adverse drug reactions (ADR in older adults polymedicated. Methods: an integrative review of studies published from January 2008 to December 2013, according to inclusion and exclusion criteria, in MEDLINE and EMBASE electronic databases were performed. Results: forty-seven full-text studies including 14,624,492 older adults (≥ 60 years were analyzed: 24 (51.1% concerning ADR, 14 (29.8% DDI, and 9 studies (19.1% investigating both DDI and ADR. We found a variety of methodological designs. The reviewed studies reinforced that polypharmacy is a multifactorial process, and predictors and inappropriate prescribing are associated with negative health outcomes, as increasing the frequency and types of ADRs and DDIs involving different drug classes, moreover, some studies show the most successful interventions to optimize prescribing. Conclusions: DDI and ADR among older adults continue to be a significant issue in the worldwide. The findings from the studies included in this integrative review, added to the previous reviews, can contribute to the improvement of advanced practices in geriatric nursing, to promote the safety of older patients in polypharmacy. However, more research is needed to elucidate gaps.

  18. Pharmacoepidemiological assessment of drug interactions with vitamin K antagonists

    DEFF Research Database (Denmark)

    Pottegård, Anton; Christensen, R. D.; Wang, S. V.

    2014-01-01

    PurposeWe present a database of prescription drugs and international normalized ratio (INR) data and the applied methodology for its use to assess drug-drug interactions with vitamin K antagonists (VKAs). We use the putative interaction between VKAs and tramadol as a case study. MethodsWe used...... definitions, and other drugs. ResultsWe identified 513 VKA users with at least 1 INR measurement 4.0 and concomitant tramadol and VKA exposure during the observation period. The overall IRR was 1.80 (95% confidence interval [CI], 1.53-2.10), with a stronger association among users of phenprocoumon compared...

  19. Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.

    Science.gov (United States)

    Ezzat, Ali; Zhao, Peilin; Wu, Min; Li, Xiao-Li; Kwoh, Chee-Keong

    2017-01-01

    Experimental determination of drug-target interactions is expensive and time-consuming. Therefore, there is a continuous demand for more accurate predictions of interactions using computational techniques. Algorithms have been devised to infer novel interactions on a global scale where the input to these algorithms is a drug-target network (i.e., a bipartite graph where edges connect pairs of drugs and targets that are known to interact). However, these algorithms had difficulty predicting interactions involving new drugs or targets for which there are no known interactions (i.e., "orphan" nodes in the network). Since data usually lie on or near to low-dimensional non-linear manifolds, we propose two matrix factorization methods that use graph regularization in order to learn such manifolds. In addition, considering that many of the non-occurring edges in the network are actually unknown or missing cases, we developed a preprocessing step to enhance predictions in the "new drug" and "new target" cases by adding edges with intermediate interaction likelihood scores. In our cross validation experiments, our methods achieved better results than three other state-of-the-art methods in most cases. Finally, we simulated some "new drug" and "new target" cases and found that GRMF predicted the left-out interactions reasonably well.

  20. Analysis of clinical drug-drug interaction data to predict uncharacterized interaction magnitudes between antiretroviral drugs and co-medications.

    Science.gov (United States)

    Stader, Felix; Kinvig, Hannah; Battegay, Manuel; Khoo, Saye; Owen, Andrew; Siccardi, Marco; Marzolini, Catia

    2018-04-23

    Despite their high potential for drug-drug-interactions (DDI), clinical DDI studies of antiretroviral drugs (ARVs) are often lacking, because the full range of potential interactions cannot feasibly or pragmatically be studied, with some high-risk DDI studies also ethically difficult to undertake. Thus, a robust method to screen and to predict the likelihood of DDIs is required.We developed a method to predict DDIs based on two parameters: the degree of metabolism by specific enzymes such as CYP3A and the strength of an inhibitor or inducer. These parameters were derived from existing studies utilizing paradigm substrates, inducers and inhibitors of CYP3A, to assess the predictive performance of this method by verifying predicted magnitudes of changes in drug exposure against clinical DDI studies involving ARVs.The derived parameters were consistent with the FDA classification of sensitive CYP3A substrates and the strength of CYP3A inhibitors and inducers. Characterized DDI magnitudes (n = 68) between ARVs and co-medications were successfully quantified meaning 53%, 85% and 98% of the predictions were within 1.25-fold (0.80 - 1.25), 1.5-fold (0.66 - 1.48) and 2-fold (0.66 - 1.94) of the observed clinical data. In addition, the method identifies CYP3A substrates likely to be highly or conversely minimally impacted by CYP3A inhibitors or inducers, thus categorizing the magnitude of DDIs.The developed effective and robust method has the potential to support a more rational identification of dose adjustment to overcome DDIs being particularly relevant in a HIV-setting giving the treatments complexity, high DDI risk and limited guidance on the management of DDIs. Copyright © 2018 American Society for Microbiology.

  1. Periodic lateralized epileptiform discharges can survive anesthesia and result in asymmetric drug-induced burst suppression

    Directory of Open Access Journals (Sweden)

    Edward C. Mader Jr.

    2017-02-01

    Full Text Available Drug-induced burst suppression (DIBS is bihemispheric and bisymmetric in adults and older children. However, asymmetric DIBS may occur if a pathological process is affecting one hemisphere only or both hemispheres disproportionately. The usual suspect is a destructive lesion; an irritative or epileptogenic lesion is usually not invoked to explain DIBS asymmetry. We report the case of a 66-year-old woman with new-onset seizures who was found to have a hemorrhagic cavernoma and periodic lateralized epileptiform discharges (PLEDs in the right temporal region. After levetiracetam and before anesthetic antiepileptic drugs (AEDs were administered, the electroencephalogram (EEG showed continuous PLEDs over the right hemisphere with maximum voltage in the posterior temporal region. Focal electrographic seizures also occurred occasionally in the same location. Propofol resulted in bihemispheric, but not in bisymmetric, DIBS. Remnants or fragments of PLEDs that survived anesthesia increased the amplitude and complexity of the bursts in the right hemisphere leading to asymmetric DIBS. Phenytoin, lacosamide, ketamine, midazolam, and topiramate were administered at various times in the course of EEG monitoring, resulting in suppression of seizures but not of PLEDs. Ketamine and midazolam reduced the rate, amplitude, and complexity of PLEDs but only after producing substantial attenuation of all burst components. When all anesthetics were discontinued, the EEG reverted to the original preanesthesia pattern with continuous non-fragmented PLEDs. The fact that PLEDs can survive anesthesia and affect DIBS symmetry is a testament to the robustness of the neurodynamic processes underlying PLEDs.

  2. [Clinically relevant drug interactions with new generation antidepressants and antipsychotics].

    Science.gov (United States)

    Eckert, Anne

    2009-06-01

    Because antidepressants and antipsychotics are commonly described in combination with drugs used to treat comorbid psychiatric or somatic disorders (e.g. anxiolytics, mood stabilizers, cardiovascular drugs, antimicrobial agents), they may be involved in drug interactions. Furthermore, agents such as lithium and atypical antipsychotics may be used to augment the antidepressant response in cases of refractory depression. Based on their mechanisms, drug-drug interactions can be classified either as pharmacokinetic or pharmacodynamic in nature. The well-documented risk of potentially harmful pharmacodynamic drug interactions with first-generation anti-depressants, e.g. monoamine oxidase inhibitors (MAOIs), with regard to the induction of the serotonin syndrome, has contributed to a gradual decline in their use in clinical practise. Second- and third-generation antidepressants have gradually replaced tricyclic antidepressants (TCAs) and MAOIs, mainly because of their improved tolerability and safety profile. The second- and third-generation antidepressants include selective serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors (SNRIs) and other compounds with different mechanisms of action. These drugs and also the majority of antipsychotics are metabolized in the liver by the cytochrome P450 (CYP) enzyme system. Therefore, the use of these compounds may be associated with clinically relevant pharmacokinetic interactions with other medications. The knowledge about the CYP metabolism of drugs may be used to guide the selection of an antidepressant or an anti-psychotic with a low drug-drug interaction potential for an individual patient. The aim of the present article is to review drug-interaction potentials with specific focus on second-generation antidepressants (SSRIs), newer antidepressants (SNRIs: venlafaxine and duloxetine; bupropion, mirtazapine, trazodone), novel atypical antidepressants (agomelatine), as well as new generation

  3. PXR as a mediator of herb-drug interaction.

    Science.gov (United States)

    Hogle, Brett C; Guan, Xiudong; Folan, M Maggie; Xie, Wen

    2018-04-01

    Medicinal herbs have been a part of human medicine for thousands of years. The herb-drug interaction is an extension of drug-drug interaction, in which the consumptions of herbs cause alterations in the metabolism of drugs the patients happen to take at the same time. The pregnane X receptor (PXR) has been established as one of the most important transcriptional factors that regulate the expression of phase I enzymes, phase II enzymes, and drug transporters in the xenobiotic responses. Since its initial discovery, PXR has been implicated in multiple herb-drug interactions that can lead to alterations of the drug's pharmacokinetic properties and cause fluctuating therapeutic efficacies, possibly leading to complications. Regions of the world that heavily incorporate herbalism into their primary health care and people turning to alternative medicines as a personal choice could be at risk for adverse reactions or unintended results from these interactions. This article is intended to highlight our understanding of the PXR-mediated herb-drug interactions. Copyright © 2017. Published by Elsevier B.V.

  4. Initial Drug Dissolution from Amorphous Solid Dispersions Controlled by Polymer Dissolution and Drug-Polymer Interaction.

    Science.gov (United States)

    Chen, Yuejie; Wang, Shujing; Wang, Shan; Liu, Chengyu; Su, Ching; Hageman, Michael; Hussain, Munir; Haskell, Roy; Stefanski, Kevin; Qian, Feng

    2016-10-01

    To identify the key formulation factors controlling the initial drug and polymer dissolution rates from an amorphous solid dispersion (ASD). Ketoconazole (KTZ) ASDs using PVP, PVP-VA, HMPC, or HPMC-AS as polymeric matrix were prepared. For each drug-polymer system, two types of formulations with the same composition were prepared: 1. Spray dried dispersion (SDD) that is homogenous at molecular level, 2. Physical blend of SDD (80% drug loading) and pure polymer (SDD-PB) that is homogenous only at powder level. Flory-Huggins interaction parameters (χ) between KTZ and the four polymers were obtained by Flory-Huggins model fitting. Solution (13)C NMR and FT-IR were conducted to investigate the specific drug-polymer interaction in the solution and solid state, respectively. Intrinsic dissolution of both the drug and the polymer from ASDs were studied using a Higuchi style intrinsic dissolution apparatus. PXRD and confocal Raman microscopy were used to confirm the absence of drug crystallinity on the tablet surface before and after dissolution study. In solid state, KTZ is completely miscible with PVP, PVP-VA, or HPMC-AS, demonstrated by the negative χ values of -0.36, -0.46, -1.68, respectively; while is poorly miscible with HPMC shown by a positive χ value of 0.23. According to solution (13)C NMR and FT-IR studies, KTZ interacts with HPMC-AS strongly through H-bonding and dipole induced interaction; with PVPs and PVP-VA moderately through dipole-induced interactions; and with HPMC weakly without detectable attractive interaction. Furthermore, the "apparent" strength of drug-polymer interaction, measured by the extent of peak shift on NMR or FT-IR spectra, increases with the increasing number of interacting drug-polymer pairs. For ASDs with the presence of considerable drug-polymer interactions, such as KTZ/PVPs, KTZ/PVP-VA, or KTZ /HPMC-AS systems, drug released at the same rate as the polymer when intimate drug-polymer mixing was ensured (i.e., the SDD systems

  5. Drug-domain interaction networks in myocardial infarction.

    Science.gov (United States)

    Wang, Haiying; Zheng, Huiru; Azuaje, Francisco; Zhao, Xing-Ming

    2013-09-01

    It has been well recognized that the pace of the development of new drugs and therapeutic interventions lags far behind biological knowledge discovery. Network-based approaches have emerged as a promising alternative to accelerate the discovery of new safe and effective drugs. Based on the integration of several biological resources including two recently published datasets i.e., Drug-target interactions in myocardial infarction (My-DTome) and drug-domain interaction network, this paper reports the association between drugs and protein domains in the context of myocardial infarction (MI). A MI drug-domain interaction network, My-DDome, was firstly constructed, followed by topological analysis and functional characterization of the network. The results show that My-DDome has a very clear modular structure, where drugs interacting with the same domain(s) within each module tend to have similar therapeutic effects. Moreover it has been found that drugs acting on blood and blood forming organs (ATC code B) and sensory organs (ATC code S) are significantly enriched in My-DDome (p drugs, their known targets, and seemingly unrelated proteins can be revealed.

  6. Management of Nonsteroidal Anti-Inflammatory Drug-Induced Gastroduodenal Disease by Acid Suppression

    Directory of Open Access Journals (Sweden)

    R Lad

    1999-01-01

    Full Text Available One major cause of peptic ulceration is the use of nonsteroidal anti-inflammatory drugs (NSAIDs. The precise mechanisms through which NSAIDs cause peptic ulceration are unknown, but the discovery that they reduce the production of ‘cytoprotective’ prostaglandins led to the hypothesis that coadministration of exogenous prostaglandins heals and prevents NSAID-induced gastroduodenal ulcers and other mucosal lesions. Studies using high doses of misoprostol have shown that it does have a protective effect; however, gastrointestinal intolerance of this prostaglandin E2 analogue is common. Early indications that acid suppression was effective in the management of NSAID-related peptic ulcers came from studies showing that gastric ulcers could be healed by omeprazole in patients who continued to take NSAIDs. Other studies suggested that acid suppression reduces the incidence of mucosal lesions but that standard dose ranitidine protects only against duodenal lesions. Subsequent studies reported that higher dose H2 receptor antagonist therapy can protect against both gastric and duodenal ulcers during continued NSAID therapy. An ideal therapeutic strategy would heal NSAID-related ulcers and prevent the development of new NSAID-related lesions and complications in patients who are unable to discontinue NSAID therapy. A number of recent studies indicate that effective acid-suppressive treatment with the proton pump inhibitor omeprazole can achieve these aims. Overall, data from recent studies show that acid suppression with the proton pump inhibitor omeprazole at a dose of 20 mg daily is the most effective means of healing NSAID-associated gastroduodenal lesions and that it is the most effective prophylactic therapy. In the long run, the role of omeprazole will have to be evaluated with respect to its cost effectiveness compared with other strategies and with respect to the development of less damaging NSAIDs.

  7. Transporter-Mediated Drug–Drug Interactions with Oral Antidiabetic Drugs

    Directory of Open Access Journals (Sweden)

    Jörg König

    2011-10-01

    Full Text Available Uptake transporters (e.g., members of the SLC superfamily of solute carriers and export proteins (e.g., members of the ABC transporter superfamily are important determinants for the pharmacokinetics of drugs. Alterations of drug transport due to concomitantly administered drugs that interfere with drug transport may alter the kinetics of drug substrates. In vitro and in vivo studies indicate that many drugs used for the treatment of metabolic disorders and cardiovascular diseases (e.g., oral antidiabetic drugs, statins are substrates for uptake transporters and export proteins expressed in the intestine, the liver and the kidney. Since most patients with type 2 diabetes receive more than one drug, transporter-mediated drug-drug interactions are important molecular mechanisms leading to alterations in oral antidiabetic drug pharmacokinetics with the risk of adverse drug reactions. This review focuses on uptake transporters of the SLCO/SLC21 (OATP and SLC22 (OCT/OAT family of solute carriers and export pumps of the ABC (ATP-binding cassette transporter superfamily (especially P-glycoprotein as well as the export proteins of the SLC47 (MATE family and their role for transporter-mediated drug-drug interactions with oral antidiabetic drugs.

  8. Albumin-drug interaction and its clinical implication.

    Science.gov (United States)

    Yamasaki, Keishi; Chuang, Victor Tuan Giam; Maruyama, Toru; Otagiri, Masaki

    2013-12-01

    Human serum albumin acts as a reservoir and transport protein for endogenous (e.g. fatty acids or bilirubin) and exogenous compounds (e.g. drugs or nutrients) in the blood. The binding of a drug to albumin is a major determinant of its pharmacokinetic and pharmacodynamic profile. The present review discusses recent findings regarding the nature of drug binding sites, drug-albumin binding in certain diseased states or in the presence of coadministered drugs, and the potential of utilizing albumin-drug interactions in clinical applications. Drug-albumin interactions appear to predominantly occur at one or two specific binding sites. The nature of these drug binding sites has been fundamentally investigated as to location, size, charge, hydrophobicity or changes that can occur under conditions such as the content of the endogenous substances in question. Such findings can be useful tools for the analysis of drug-drug interactions or protein binding in diseased states. A change in protein binding is not always a problem in terms of drug therapy, but it can be used to enhance the efficacy of therapeutic agents or to enhance the accumulation of radiopharmaceuticals to targets for diagnostic purposes. Furthermore, several extracorporeal dialysis procedures using albumin-containing dialysates have proven to be an effective tool for removing endogenous toxins or overdosed drugs from patients. Recent findings related to albumin-drug interactions as described in this review are useful for providing safer and efficient therapies and diagnoses in clinical settings. This article is part of a Special Issue entitled Serum Albumin. Copyright © 2013 Elsevier B.V. All rights reserved.

  9. Risk factors for potential drug interactions in general practice

    DEFF Research Database (Denmark)

    Bjerrum, Lars; Gonzalez Lopez-Valcarcel, Beatriz; Petersen, Gert

    2008-01-01

    Objective: To identify patient- and practice-related factors associated with potential drug interactions. Methods: A register analysis study in general practices in the county of Funen, Denmark. Prescription data were retrieved from a population-based prescription database (Odense University...... Pharmacoepidemiologic Database, OPED) covering prescriptions to all inhabitants in the county of Funen, Denmark. All individuals exposed to concurrent use of two or more drugs (polypharmacy) were identified. Combinations of drugs with potential interactions were registered and classified as major, moderate, or minor......, depending on the severity of outcome and the quality of documentation. A two-level random coefficient logistic regression model was used to investigate factors related to potential drug interactions. Results: One-third of the population was exposed to polypharmacy, and 6% were exposed to potential drug...

  10. Interaction Potential of the Multitargeted Receptor Tyrosine Kinase Inhibitor Dovitinib with Drug Transporters and Drug Metabolising Enzymes Assessed in Vitro

    Directory of Open Access Journals (Sweden)

    Johanna Weiss

    2014-12-01

    Full Text Available Dovitinib (TKI-258 is under development for the treatment of diverse cancer entities. No published information on its pharmacokinetic drug interaction potential is available. Thus, we assessed its interaction with important drug metabolising enzymes and drug transporters and its efficacy in multidrug resistant cells in vitro. P-glycoprotein (P-gp, MDR1, ABCB1 inhibition was evaluated by calcein assay, inhibition of breast cancer resistance protein (BCRP, ABCG2 by pheophorbide A efflux, and inhibition of organic anion transporting polypeptides (OATPs by 8-fluorescein-cAMP uptake. Inhibition of cytochrome P450 3A4, 2C19, and 2D6 was assessed by using commercial kits. Induction of transporters and enzymes was quantified by real-time RT-PCR. Possible aryl hydrocarbon receptor (AhR activating properties were assessed by a reporter gene assay. Substrate characteristics were evaluated by growth inhibition assays in cells over-expressing P-gp or BCRP. Dovitinib weakly inhibited CYP2C19, CYP3A4, P-gp and OATPs. The strongest inhibition was observed for BCRP (IC50 = 10.3 ± 4.5 μM. Among the genes investigated, dovitinib only induced mRNA expression of CYP1A1, CYP1A2, ABCC3 (coding for multidrug resistance-associated protein 3, and ABCG2 and suppressed mRNA expression of some transporters and drug metabolising enzymes. AhR reporter gene assay demonstrated that dovitinib is an activator of this nuclear receptor. Dovitinib retained its efficacy in cell lines over-expressing P-gp or BCRP. Our analysis indicates that dovitinib will most likely retain its efficacy in tumours over-expressing P-gp or BCRP and gives first evidence that dovitinib might act as a perpetrator drug in pharmacokinetic drug–drug interactions.

  11. Interactive evolutionary algorithms and data mining for drug design

    NARCIS (Netherlands)

    Lameijer, Eric Marcel Wubbo

    2010-01-01

    One of the main problems of drug design is that it is quite hard to discover compounds that have all the required properties to become a drug (efficacy against the disease, good biological availability, low toxicity). This thesis describes the use of data mining and interactive evolutionary

  12. Study of interaction between antiobesity and hypolipidemic drugs ...

    African Journals Online (AJOL)

    PURPOSE: To explore the interaction between antiobesity drug, topiramate, and hypolipidemic drug, atorvastatin, in rats. METHODS: Obesity was induced in Wistar albino rats by administering cafeteria diet (CD) for 40 days and divided into 5 groups. While one group served as control, each other group received either ...

  13. Prevalence and Correlates of Drug-drug Interactions in the Regional Hospital of Gjilan, Kosovo.

    Science.gov (United States)

    Shabani, Driton; Tahiri, Zejdush; Bara, Petrit; Hudhra, Klejda; Malaj, Ledian; Jucja, Besnik; Bozalia, Adnan; Burazeri, Genc

    2014-08-01

    Our aim was to assess the prevalence and socioeconomic and clinical correlates of drug-drug interactions among the adult population of transitional Kosovo. A cross-sectional study was conducted including a representative sample of 1921 patients aged ≥18 years (mean age: 57.8±11.2 years; 50.3% women; overall response: 96%) from the regional hospital of Gjilan, Kosovo, during 2011-2013. Potential drug-drug-interactions were assessed and clinical data as well as demographic and socioeconomic information were collected. Binary logistic regression was used to assess the correlates of drug-drug interactions. Upon multivariable adjustment for all the demographic and socioeconomic factors as well as the clinical characteristics, drug-drug interactions were positively and significantly related to older age (OR=2.1, 95%CI=1.3-2.8), a lower educational attainment (OR=1.4, 95%CI=1.1-1.9), a longer hospitalization period (OR=2.7, 95%CI=2.1-3.6), presence of three groups of diseases [infectious diseases (OR=1.7, 95%CI=1.3-2.4), cardiovascular diseases (OR=1.8, 95%CI=1.4-2.6), respiratory diseases (OR=1.6, 95%CI=1.2-2.5)], presence of comorbid conditions (OR=3.2, 95%CI=2.3-4.4) and an intake of at least four drugs (OR=5.9, 95%CI=4.6-7.1). Our study provides important evidence on the prevalence and socioeconomic and clinical correlates of drug-drug interactions among the hospitalized patients in the regional hospital of Gjilan, Kosovo. Findings from our study should raise the awareness of decision-makers and policy makers about the prevalence and determinants of drug-drug interactions in the adult population of post-war Kosovo.

  14. Drug-Drug Interactions Among Hospitalized Children Receiving Chronic Antiepileptic Drug Therapy.

    Science.gov (United States)

    Lebowitz, Mollie Blazar; Olson, Karen L; Burns, Michele; Harper, Marvin B; Bourgeois, Florence

    2016-05-01

    Children treated with chronic medications are at risk of drug-drug interactions (DDIs) when hospitalized with an acute illness and prescribed new medications. We aimed to measure the prevalence of potential DDIs (pDDIs) among hospitalized children treated with antiepileptic drugs (AEDs) and to evaluate the impact of computerized physician order entry (CPOE) on pDDIs. We analyzed a national sample of pediatric hospitalizations from 2005 to 2012 associated with administration of an AED and identified those prescribed a second medication with risk of a DDI. The prevalence of hospitalizations associated with a pDDI was calculated for each AED. We identified the drugs most commonly implicated in pDDIs and factors associated with pDDIs. Rates of pDDIs were measured in pre- and post-CPOE implementation periods. A pDDI was identified in 181 380 (41.7%) hospitalizations associated with the use of an AED, with 117 880 (27.1%) classified as severe pDDIs. AEDs most often implicated with a pDDI were phenobarbital, valproic acid, and phenytoin. Hospitalizations with pDDIs were associated with increased length of stay and a greater number of medications, ICU admissions, and operating room procedures. The implementation of CPOE did not result in a change in the rate of pDDIs (42.7% before versus 40.8% after; P = .48). Children treated with AEDs are at risk of pDDIs while hospitalized. The use of CPOE has not been associated with a significant decrease in the rate of pDDIs. Additional investigation to better define the impact of pDDIs and to advance development of clinical decision support within CPOE systems is warranted. Copyright © 2016 by the American Academy of Pediatrics

  15. Developing a Molecular Roadmap of Drug-Food Interactions

    DEFF Research Database (Denmark)

    Jensen, Kasper; Ni, Yueqiong; Panagiotou, Gianni

    2015-01-01

    in ∼ 1800 plant-based foods with the pharmacokinetics and pharmacodynamics processes of medicine, with the purpose of elucidating the molecular mechanisms involved. By employing a systems chemical biology approach that integrates data from the scientific literature and online databases, we gained a global...... view of the associations between diet and dietary molecules with drug targets, metabolic enzymes, drug transporters and carriers currently deposited in Drug-Bank. Moreover, we identified disease areas and drug targets that are most prone to the negative effects of drug-food interactions, showcasing...... a platform for making recommendations in relation to foods that should be avoided under certain medications. Lastly, by investigating the correlation of gene expression signatures of foods and drugs we were able to generate a completely novel drug-diet interactome map....

  16. Drug-target interaction prediction from PSSM based evolutionary information.

    Science.gov (United States)

    Mousavian, Zaynab; Khakabimamaghani, Sahand; Kavousi, Kaveh; Masoudi-Nejad, Ali

    2016-01-01

    The labor-intensive and expensive experimental process of drug-target interaction prediction has motivated many researchers to focus on in silico prediction, which leads to the helpful information in supporting the experimental interaction data. Therefore, they have proposed several computational approaches for discovering new drug-target interactions. Several learning-based methods have been increasingly developed which can be categorized into two main groups: similarity-based and feature-based. In this paper, we firstly use the bi-gram features extracted from the Position Specific Scoring Matrix (PSSM) of proteins in predicting drug-target interactions. Our results demonstrate the high-confidence prediction ability of the Bigram-PSSM model in terms of several performance indicators specifically for enzymes and ion channels. Moreover, we investigate the impact of negative selection strategy on the performance of the prediction, which is not widely taken into account in the other relevant studies. This is important, as the number of non-interacting drug-target pairs are usually extremely large in comparison with the number of interacting ones in existing drug-target interaction data. An interesting observation is that different levels of performance reduction have been attained for four datasets when we change the sampling method from the random sampling to the balanced sampling. Copyright © 2015 Elsevier Inc. All rights reserved.

  17. Exact suppression of depolarisation by beam-beam interaction in an electron ring

    International Nuclear Information System (INIS)

    Buon, J.

    1983-03-01

    It is shown that depolarisation due to beam-beam interaction can be exactly suppressed in an electron storage ring. The necessary ''spin matching'' conditions to be fulfilled are derived for a planar ring. They depend on the ring optics, assumed linear, but not on the features of the beam-beam force, like intensity and non-linearity. Extension to a ring equipped with 90 0 spin rotators is straightorward

  18. No Increased Risk of Ketoconazole Toxicity in Drug-Drug Interaction Studies.

    Science.gov (United States)

    Outeiro, Noémi; Hohmann, Nicolas; Mikus, Gerd

    2016-10-01

    In July 2013 the U.S. Food and Drug Administration (FDA) released a safety announcement regarding the use of ketoconazole and its adverse drug reactions. The FDA report advised against the use ketoconazole tablets as a first-line treatment for any fungal infections because of the risk of potentially serious drug-drug interactions and liver and adrenal gland complications. The European Medicines Agency (EMA) also proposed to limit the use of oral ketoconazole in fungal infections because of the same risk of harmful effects and interactions. In addition, the FDA also advised against the use of oral ketoconazole in drug interaction studies, in which it has been extensively used as an index inhibitor of drug metabolism. The aim of this investigation was to evaluate the risks of ketoconazole-induced hepatotoxicity described by the FDA and EMA in published drug interaction studies with ketoconazole and compare these data with the toxicity reported for ketoconazole when used as antifungal treatment. In the drug interaction studies (2355 participants; healthy volunteers and patients; median treatment duration, 6 days), only 40 participants were reported to have increased liver transaminase activity (1.7%), and no deaths were reported or associated with ketoconazole. In studies investigating ketoconazole treatment, patients were treated for 276 days (median), and 5.6% of patients had elevated liver enzyme activity. Because of the short treatment period in drug interaction studies the risk of drug-induced hepatic injury is considered very low. As such, we recommend that ketoconazole remain a safe CYP3A index inhibitor for use in drug interaction studies with healthy volunteers. © 2016, The American College of Clinical Pharmacology.

  19. High-Throughput Cytochrome P450 Cocktail Inhibition Assay for Assessing Drug-Drug and Drug-Botanical Interactions.

    Science.gov (United States)

    Li, Guannan; Huang, Ke; Nikolic, Dejan; van Breemen, Richard B

    2015-11-01

    Detection of drug-drug interactions is essential during the early stages of drug discovery and development, and the understanding of drug-botanical interactions is important for the safe use of botanical dietary supplements. Among the different forms of drug interactions that are known, inhibition of cytochrome P450 (P450) enzymes is the most common cause of drug-drug or drug-botanical interactions. Therefore, a rapid and comprehensive mass spectrometry-based in vitro high-throughput P450 cocktail inhibition assay was developed that uses 10 substrates simultaneously against nine CYP isoforms. Including probe substrates for CYP1A2, CYP2A6, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP2E1, and two probes targeting different binding sites of CYP3A4/5, this cocktail simultaneously assesses at least as many P450 enzymes as previous assays while remaining among the fastest due to short incubation times and rapid analysis using ultrahigh pressure liquid chromatography-tandem mass spectrometry. The method was validated using known inhibitors of each P450 enzyme and then shown to be useful not only for single-compound testing but also for the evaluation of potential drug-botanical interactions using the botanical dietary supplement licorice (Glycyrrhiza glabra) as an example. Copyright © 2015 by The American Society for Pharmacology and Experimental Therapeutics.

  20. Impact of Participatory Design for Drug-Drug Interaction Alerts. A Comparison Study Between Two Interfaces.

    Science.gov (United States)

    Luna, Daniel; Otero, Carlos; Risk, Marcelo; Stanziola, Enrique; González Bernaldo de Quirós, Fernán

    2016-01-01

    Decision support systems for alert drug-drug interactions have been shown as valid strategy to reduce medical error. Even so the use of these systems has not been as expected, probably due to the lack of a suitable design. This study compares two interfaces, one of them developed using participatory design techniques (based on user centered design processes). This work showed that the use of these techniques improves satisfaction, effectiveness and efficiency in an alert system for drug-drug interactions, a fact that was evident in specific situations such as the decrease of errors to meet the specified task, the time, the workload optimization and users overall satisfaction with the system.

  1. Managing Drug-Drug Interaction Between Ombitasvir, Paritaprevir/Ritonavir, Dasabuvir, and Mycophenolate Mofetil.

    Science.gov (United States)

    Lemaitre, Florian; Ben Ali, Zeineb; Tron, Camille; Jezequel, Caroline; Boglione-Kerrien, Christelle; Verdier, Marie-Clémence; Guyader, Dominique; Bellissant, Eric

    2017-08-01

    No drug-drug interaction study has been conducted to date for the combination of ombitasvir, paritaprevir/ritonavir, dasabuvir (3D), and mycophenolic acid (MPA). We here report the case of a hepatitis C virus-infected patient treated with 3D and MPA for vasculitis. In light of the threat of drug-drug interaction, the concentration of MPA was measured before, during, and 15 days after the end of the 3D treatment. Similar values were found at all 3 time points, thus indicating that there is probably no need to adapt MPA dosage to 3D.

  2. Large-scale prediction of drug-target interactions using protein sequences and drug topological structures

    Energy Technology Data Exchange (ETDEWEB)

    Cao Dongsheng [Research Center of Modernization of Traditional Chinese Medicines, Central South University, Changsha 410083 (China); Liu Shao [Xiangya Hospital, Central South University, Changsha 410008 (China); Xu Qingsong [School of Mathematical Sciences and Computing Technology, Central South University, Changsha 410083 (China); Lu Hongmei; Huang Jianhua [Research Center of Modernization of Traditional Chinese Medicines, Central South University, Changsha 410083 (China); Hu Qiannan [Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, and Wuhan University School of Pharmaceutical Sciences, Wuhan 430071 (China); Liang Yizeng, E-mail: yizeng_liang@263.net [Research Center of Modernization of Traditional Chinese Medicines, Central South University, Changsha 410083 (China)

    2012-11-08

    Highlights: Black-Right-Pointing-Pointer Drug-target interactions are predicted using an extended SAR methodology. Black-Right-Pointing-Pointer A drug-target interaction is regarded as an event triggered by many factors. Black-Right-Pointing-Pointer Molecular fingerprint and CTD descriptors are used to represent drugs and proteins. Black-Right-Pointing-Pointer Our approach shows compatibility between the new scheme and current SAR methodology. - Abstract: The identification of interactions between drugs and target proteins plays a key role in the process of genomic drug discovery. It is both consuming and costly to determine drug-target interactions by experiments alone. Therefore, there is an urgent need to develop new in silico prediction approaches capable of identifying these potential drug-target interactions in a timely manner. In this article, we aim at extending current structure-activity relationship (SAR) methodology to fulfill such requirements. In some sense, a drug-target interaction can be regarded as an event or property triggered by many influence factors from drugs and target proteins. Thus, each interaction pair can be represented theoretically by using these factors which are based on the structural and physicochemical properties simultaneously from drugs and proteins. To realize this, drug molecules are encoded with MACCS substructure fingerings representing existence of certain functional groups or fragments; and proteins are encoded with some biochemical and physicochemical properties. Four classes of drug-target interaction networks in humans involving enzymes, ion channels, G-protein-coupled receptors (GPCRs) and nuclear receptors, are independently used for establishing predictive models with support vector machines (SVMs). The SVM models gave prediction accuracy of 90.31%, 88.91%, 84.68% and 83.74% for four datasets, respectively. In conclusion, the results demonstrate the ability of our proposed method to predict the drug

  3. Clinically relevant pharmacokinetic herb-drug interactions in antiretroviral therapy

    Science.gov (United States)

    For healthcare professionals, the volume of literature available on herb-drug interactions often makes it difficult to separate experimental/potential interactions from those deemed clinically relevant. There is a need for concise and conclusive information to guide pharmacotherapy in HIV/AIDS. In t...

  4. Drug interactions with the dietary fiber Plantago ovata husk.

    Science.gov (United States)

    Fernandez, Nelida; Lopez, Cristina; Díez, Raquel; Garcia, Juan J; Diez, Maria Jose; Sahagun, Ana; Sierra, Matilde

    2012-11-01

    Plantago ovata husk is a viscous water-soluble fiber obtained by milling the seed of Plantago ovata. The increased use of this compound for the treatment of diseases makes it necessary to know of its potential drug interactions. The present paper reviews the literature concerning interactions between drugs and the dietary fiber Plantago ovata husk. All publications which might describe interactions between the dietetic fiber Plantago ovata husk and other drugs were identified by searches using databases such as MEDLINE or EMBASE. Drug interactions have been the subject of numerous studies, but few of them have been carried out with dietary fiber and the results obtained have often been variable. The incidence and importance of interactions between fiber and drugs has increased due to a worldwide rise in the use of dietary fiber. Plantago ovata husk has the potential for producing both benefits and risks with both desirable and undesirable effects when coadministered with drugs. More clinical studies are justifiably needed to improve treatments and to better evaluate patient safety.

  5. Lower alert rates by clustering of related drug interaction alerts.

    Science.gov (United States)

    Heringa, Mette; Siderius, Hidde; Floor-Schreudering, Annemieke; de Smet, Peter A G M; Bouvy, Marcel L

    2017-01-01

    We aimed to investigate to what extent clustering of related drug interaction alerts (drug-drug and drug-disease interaction alerts) would decrease the alert rate in clinical decision support systems (CDSSs). We conducted a retrospective analysis of drug interaction alerts generated by CDSSs in community pharmacies. Frequently generated combinations of alerts were analyzed for associations in a 5% random data sample (dataset 1). Alert combinations with similar management recommendations were defined as clusters. The alert rate was assessed by simulating a CDSS generating 1 alert per cluster per patient instead of separate alerts. The simulation was performed in dataset 1 and replicated in another 5% data sample (dataset 2). Data were extracted from the CDSSs of 123 community pharmacies. Dataset 1 consisted of 841 572 dispensed prescriptions and 298 261 drug interaction alerts. Dataset 2 was comparable. Twenty-two frequently occurring alert combinations were identified. Analysis of these associated alert combinations for similar management recommendations resulted in 3 clusters (related to renal function, electrolytes, diabetes, and cardiovascular diseases). Using the clusters in alert generation reduced the alert rate within these clusters by 53-70%. The overall number of drug interaction alerts was reduced by 11% in dataset 1 and by 12% in dataset 2. This corresponds to a decrease of 21 alerts per pharmacy per day. Using clusters of drug interaction alerts with similar management recommendations in CDSSs can substantially decrease the overall alert rate. Further research is needed to establish the applicability of this concept in daily practice. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  6. Pharmacogenetics of drug-drug interaction and drug-drug-gene interaction : A systematic review on CYP2C9, CYP2C19 and CYP2D6

    NARCIS (Netherlands)

    Bahar, Muh Akbar; Setiawan, Didik; Hak, Eelko; Wilffert, Bob

    Currently, most guidelines on drug-drug interaction (DDI) neither consider the potential effect of genetic polymorphism in the strength of the interaction nor do they account for the complex interaction caused by the combination of DDI and drug-gene interaction (DGI) where there are multiple

  7. YY1 suppresses FEN1 over-expression and drug resistance in breast cancer.

    Science.gov (United States)

    Wang, Jianwei; Zhou, Lina; Li, Zhi; Zhang, Ting; Liu, Wenpeng; Liu, Zheng; Yuan, Yate-Ching; Su, Fan; Xu, Lu; Wang, Yan; Zhou, Xiaotong; Xu, Hong; Hua, Yuejin; Wang, Ying-Jie; Zheng, Li; Teng, Yue-E; Shen, Binghui

    2015-02-13

    Drug resistance is a major challenge in cancer therapeutics. Abundant evidence indicates that DNA repair systems are enhanced after repetitive chemotherapeutic treatments, rendering cancers cells drug-resistant. Flap endonuclease 1 (FEN1) plays critical roles in DNA replication and repair and in counteracting replication stress, which is a key mechanism for many chemotherapeutic drugs to kill cancer cells. FEN1 was previously shown to be upregulated in response to DNA damaging agents. However, it is unclear about the transcription factors that regulate FEN1 expression in human cancer. More importantly, it is unknown whether up-regulation of FEN1 has an adverse impact on the prognosis of chemotherapeutic treatments of human cancers. To reveal regulation mechanism of FEN1 expression, we search and identify FEN1 transcription factors or repressors and investigate their function on FEN1 expression by using a combination of biochemical, molecular, and cellular approaches. Furthermore, to gain insights into the impact of FEN1 levels on the response of human cancer to therapeutic treatments, we determine FEN1 levels in human breast cancer specimens and correlate them to the response to treatments and the survivorship of corresponding breast cancer patients. We observe that FEN1 is significantly up-regulated upon treatment of chemotherapeutic drugs such as mitomycin C (MMC) and Taxol in breast cancer cells. We identify that the transcription factor/repressor YY1 binds to the FEN1 promoter and suppresses the expression of FEN1 gene. In response to the drug treatments, YY1 is dissociated from the FEN1 promoter region leading over-expression of FEN1. Overexpression of YY1 in the cells results in down-regulation of FEN1 and sensitization of the cancer cells to MMC or taxol. Furthermore, we observe that the level of FEN1 is inversely correlated with cancer drug and radiation resistance and with survivorship in breast cancer patients. Altogether, our current data indicate that

  8. Light-hormone interaction in the red-light-induced suppression of photomorphogenesis in rice seedlings.

    Science.gov (United States)

    Roy, Ansuman; Sahoo, Dinabandhu; Tripathy, Baishnab C

    2016-03-01

    Red light perceived by the shoot bottom suppresses photomorphogenesis in rice seedlings mediated by phytochrome A. Shoots of these seedlings grown in red light having their shoot bottom exposed were deficient in chlorophyll and accumulated high concentration of trans-zeatin riboside. However, reduced presence of isopentynyl adenosine, dihydrozeatin riboside was observed in shoots of red-light-grown non-green seedlings in comparison to green seedling. The message abundance of cytokinin receptor (OsHK5), transporters (OsENT1, OsENT2), and response regulators (OsRR4, OsRR10) was downregulated in these red-light-grown non-green seedlings. Attenuation of greening process was reversed by application of exogenous cytokinin analogue, benzyladenine, or supplementing red light with blue light. In the same vein, the suppression of gene expression of cytokinin receptor, transporters, and type-A response regulators was reversed in red-light-grown seedlings treated with benzyladenine suggesting that the disarrayed cytokinin (CK) signaling cascade is responsible for non-greening of seedlings grown in red light. The reversal of red-light-induced suppression of photomorphogenesis by blue light and benzyladenine demonstrates the interaction of light and cytokinin signaling cascades in the regulation of photomorphogenesis. Partial reversal of greening process by exogenous application of benzyladenine suggests, apart from CKs perception, transportation and responsiveness, other factors are also involved in modulation of suppression of photomorphogenesis by red light.

  9. Quality of drug interaction alerts in prescribing and dispensing software.

    Science.gov (United States)

    Sweidan, Michelle; Reeve, James F; Brien, Jo-anne E; Jayasuriya, Pradeep; Martin, Jennifer H; Vernon, Graeme M

    2009-03-02

    To investigate the quality of drug interaction decision support in selected prescribing and dispensing software systems, and to compare this information with that found in a range of reference sources. A comparative study, conducted between June 2006 and February 2007, of the support provided for making decisions about 20 major and 20 minor drug interactions in six prescribing and three dispensing software systems used in primary care in Australia. Five electronic reference sources were evaluated for comparison. Sensitivity, specificity and quality of information; for major interactions: whether information on clinical effects, timeframe and pharmacological mechanism was included, whether management advice was helpful, and succinctness. Six of the nine software systems had a sensitivity rate > or = 90%, detecting most of the major interactions. Only 3/9 systems had a specificity rate of > or = 80%, with other systems providing inappropriate or unhelpful alerts for many minor interactions. Only 2/9 systems provided adequate information about clinical effects for more than half the major drug interactions, and 1/9 provided useful management advice for more than half of these. The reference sources had high sensitivity and in general provided more comprehensive clinical information than the software systems. Drug interaction decision support in commonly used prescribing and dispensing software has significant shortcomings.

  10. Potential drug interactions in patients given antiretroviral therapy.

    Science.gov (United States)

    Santos, Wendel Mombaque Dos; Secoli, Silvia Regina; Padoin, Stela Maris de Mello

    2016-11-21

    to investigate potential drug-drug interactions (PDDI) in patients with HIV infection on antiretroviral therapy. a cross-sectional study was conducted on 161 adults with HIV infection. Clinical, socio demographic, and antiretroviral treatment data were collected. To analyze the potential drug interactions, we used the software Micromedex(r). Statistical analysis was performed by binary logistic regression, with a p-value of ≤0.05 considered statistically significant. of the participants, 52.2% were exposed to potential drug-drug interactions. In total, there were 218 potential drug-drug interactions, of which 79.8% occurred between drugs used for antiretroviral therapy. There was an association between the use of five or more medications and potential drug-drug interactions (p = 0.000) and between the time period of antiretroviral therapy being over six years and potential drug-drug interactions (p sistema nervoso central e cardiovascular, mas também podem interferir em testes utilizados para a detecção da resistência do HIV aos medicamentos antirretrovirais. investigar las posibles interacciones fármaco-fármaco (PDDI en inglés) en pacientes con infección por VIH que reciben terapia antirretroviral. un estudio transversal se llevó a cabo en 161 adultos con infección por VIH. Se recogieron datos clínicos, socio demográficos, y de tratamiento antirretroviral. Para analizar las posibles interacciones entre medicamentos, se utilizó el software Micromedex(r). El análisis estadístico se realizó mediante regresión logística binaria, considerando estadísticamente significativo un valor de p de ≤0.05. de todos los participantes, el 52,2% fueron expuestos a posibles interacciones entre fármacos. En total, aparecieron 218 interacciones entre fármacos potenciales, de las que el 79,8% se produjo entre los fármacos utilizados para el tratamiento antirretroviral. Se observó una asociación entre el uso de cinco o más medicamentos y posibles

  11. Soft Interaction in Liposome Nanocarriers for Therapeutic Drug Delivery

    Directory of Open Access Journals (Sweden)

    Domenico Lombardo

    2016-06-01

    Full Text Available The development of smart nanocarriers for the delivery of therapeutic drugs has experienced considerable expansion in recent decades, with the development of new medicines devoted to cancer treatment. In this respect a wide range of strategies can be developed by employing liposome nanocarriers with desired physico-chemical properties that, by exploiting a combination of a number of suitable soft interactions, can facilitate the transit through the biological barriers from the point of administration up to the site of drug action. As a result, the materials engineer has generated through the bottom up approach a variety of supramolecular nanocarriers for the encapsulation and controlled delivery of therapeutics which have revealed beneficial developments for stabilizing drug compounds, overcoming impediments to cellular and tissue uptake, and improving biodistribution of therapeutic compounds to target sites. Herein we present recent advances in liposome drug delivery by analyzing the main structural features of liposome nanocarriers which strongly influence their interaction in solution. More specifically, we will focus on the analysis of the relevant soft interactions involved in drug delivery processes which are responsible of main behaviour of soft nanocarriers in complex physiological fluids. Investigation of the interaction between liposomes at the molecular level can be considered an important platform for the modeling of the molecular recognition processes occurring between cells. Some relevant strategies to overcome the biological barriers during the drug delivery of the nanocarriers are presented which outline the main structure-properties relationships as well as their advantages (and drawbacks in therapeutic and biomedical applications.

  12. Drug interaction with radiopharmaceuticals: a review

    Energy Technology Data Exchange (ETDEWEB)

    Bernardo-Filho, Mario; Santos-Filho, Sebastiao David; Moura, Egberto Gaspar de; Maiworm, Adalgisa Ieda; Bernardo, Luciana Camargo; Brito, Lavinia de Carvalho [Universidade do Estado, Rio de Janeiro, RJ (Brazil). Inst. de Biologia. Dept. de Biofisica e Biometria; Orlando, Margarida Maria de Camoes [Universidade do Estado, Rio de Janeiro, RJ (Brazil). Hospital Universitario Pedro Ernesto. Setor de Medicina Nuclear; Penas, Maria Exposito [Universidade Federal do Rio de Janeiro, RJ (Brazil). Hospital Universitario Clementino Fraga Filho. Setor de Medicina Nuclear; Cardoso, Valbert Nascimento [Minas Gerais Univ., Belo Horizonte, MG (Brazil). Faculdade de Farmacia. Lab. de Radioisotopos

    2005-10-15

    Clinical images are worthwhile in Health Sciences and their analysis and correct interpretation aid the professionals,such as physicians, physiotherapists and occupational therapists, to make decisions and take subsequent therapeutic and/or rehabilitation measures. Other factors, besides the state of the disease, may interfere and affect the bioavailability of the radiopharmaceuticals (radiobiocomplexes) and the quality of the SPECT and PET images. Furthermore, the labeling of some of these radiobiocomplexes, such as plasma proteins, white blood cells and red blood cells, with 99m T, can also be modified. These factors include drugs (synthetic and natural) and dietary conditions, as well as some medical procedures (invasive or non-invasive), such as radiation therapy, surgical procedures, prostheses, cardioversion, intubation, chemo perfusion, external massage, immunotherapy, blood transfusion and hemodialysis. In conclusion, the knowledge about these factors capable of interfering with the bioavailability of the radiobiocomplexes is worthwhile for secure diagnosis. Moreover, the development of biological models to study these phenomena is highly relevant and desirable.(author)

  13. Pharmacokinetic and pharmacodynamic drug interactions with ethanol (alcohol).

    Science.gov (United States)

    Chan, Lingtak-Neander; Anderson, Gail D

    2014-12-01

    Ethanol (alcohol) is one of the most widely used legal drugs in the world. Ethanol is metabolized by alcohol dehydrogenase (ADH) and the cytochrome P450 (CYP) 2E1 drug-metabolizing enzyme that is also responsible for the biotransformation of xenobiotics and fatty acids. Drugs that inhibit ADH or CYP2E1 are the most likely theoretical compounds that would lead to a clinically significant pharmacokinetic interaction with ethanol, which include only a limited number of drugs. Acute ethanol primarily alters the pharmacokinetics of other drugs by changing the rate and extent of absorption, with more limited effects on clearance. Both acute and chronic ethanol use can cause transient changes to many physiologic responses in different organ systems such as hypotension and impairment of motor and cognitive functions, resulting in both pharmacokinetic and pharmacodynamic interactions. Evaluating drug interactions with long-term use of ethanol is uniquely challenging. Specifically, it is difficult to distinguish between the effects of long-term ethanol use on liver pathology and chronic malnutrition. Ethanol-induced liver disease results in decreased activity of hepatic metabolic enzymes and changes in protein binding. Clinical studies that include patients with chronic alcohol use may be evaluating the effects of mild cirrhosis on liver metabolism, and not just ethanol itself. The definition of chronic alcohol use is very inconsistent, which greatly affects the quality of the data and clinical application of the results. Our study of the literature has shown that a significantly higher volume of clinical studies have focused on the pharmacokinetic interactions of ethanol and other drugs. The data on pharmacodynamic interactions are more limited and future research addressing pharmacodynamic interactions with ethanol, especially regarding the non-central nervous system effects, is much needed.

  14. Guidance for nuclear medicine staff on radiopharmaceuticals drug interaction

    International Nuclear Information System (INIS)

    Santos-Oliveira, Ralph

    2009-01-01

    Numerous drug interactions related to radiopharmaceuticals take place every day in hospitals many of which are not reported or detected. Information concerning this kind of reaction is not abundant, and nuclear medicine staff are usually overwhelmed by this information. To better understand this type of reaction, and to help nuclear medicine staff deal with it, a review of the literature was conducted. The results show that almost all of radiopharmaceuticals marketed around the world present drug interactions with a large variety of compounds. This suggests that a logical framework to make decisions based on reviews incorporating adverse reactions must be created. The review also showed that researchers undertaking a review of literature, or even a systematic review that incorporates drug interactions, must understand the rationale for the suggested methods and be able to implement them in their review. Additionally, a global effort should be made to report as many cases of drug interaction with radiopharmaceuticals as possible. With this, a complete picture of drug interactions with radiopharmaceuticals can be drawn. (author)

  15. Drug-drug interaction discovery and demystification using Semantic Web technologies.

    Science.gov (United States)

    Noor, Adeeb; Assiri, Abdullah; Ayvaz, Serkan; Clark, Connor; Dumontier, Michel

    2017-05-01

    To develop a novel pharmacovigilance inferential framework to infer mechanistic explanations for asserted drug-drug interactions (DDIs) and deduce potential DDIs. A mechanism-based DDI knowledge base was constructed by integrating knowledge from several existing sources at the pharmacokinetic, pharmacodynamic, pharmacogenetic, and multipathway interaction levels. A query-based framework was then created to utilize this integrated knowledge base in conjunction with 9 inference rules to infer mechanistic explanations for asserted DDIs and deduce potential DDIs. The drug-drug interactions discovery and demystification (D3) system achieved an overall 85% recall rate in terms of inferring mechanistic explanations for the DDIs integrated into its knowledge base, while demonstrating a 61% precision rate in terms of the inference or lack of inference of mechanistic explanations for a balanced, randomly selected collection of interacting and noninteracting drug pairs. The successful demonstration of the D3 system's ability to confirm interactions involving well-studied drugs enhances confidence in its ability to deduce interactions involving less-studied drugs. In its demonstration, the D3 system infers putative explanations for most of its integrated DDIs. Further enhancements to this work in the future might include ranking interaction mechanisms based on likelihood of applicability, determining the likelihood of deduced DDIs, and making the framework publicly available. The D3 system provides an early-warning framework for augmenting knowledge of known DDIs and deducing unknown DDIs. It shows promise in suggesting interaction pathways of research and evaluation interest and aiding clinicians in evaluating and adjusting courses of drug therapy.

  16. Biomembrane models and drug-biomembrane interaction studies: Involvement in drug design and development

    OpenAIRE

    Pignatello, R.; Musumeci, T.; Basile, L.; Carbone, C.; Puglisi, G.

    2011-01-01

    Contact with many different biological membranes goes along the destiny of a drug after its systemic administration. From the circulating macrophage cells to the vessel endothelium, to more complex absorption barriers, the interaction of a biomolecule with these membranes largely affects its rate and time of biodistribution in the body and at the target sites. Therefore, investigating the phenomena occurring on the cell membranes, as well as their different interaction with drugs in the physi...

  17. Drug-drug interactions as a determinant of elevated lithium serum levels in daily clinical practice

    NARCIS (Netherlands)

    Wilting, [No Value; Movig, KL; Moolenaar, M; Hekster, YA; Brouwers, [No Value; Heerdink, ER; Nolen, WA; Egberts, AC

    Objective: Lithium is a drug with a narrow therapeutic window. Concomitantly used medication is a potentially influencing factor of lithium serum concentrations. We conducted a multicentre retrospective case-control study with the aim of investigating lithium-related drug interactions as

  18. Drug-drug interactions as a determinant of elevated lithium serum levels in daily clinical practice.

    NARCIS (Netherlands)

    Wilting, I.; Movig, K.L.L.; Moolenaar, M.; Hekster, Y.A.; Brouwers, J.R.B.J.; Heerdink, E.R.; Nolen, W.A.; Egberts, A.C.G.

    2005-01-01

    OBJECTIVE: Lithium is a drug with a narrow therapeutic window. Concomitantly used medication is a potentially influencing factor of lithium serum concentrations. We conducted a multicentre retrospective case-control study with the aim of investigating lithium-related drug interactions as

  19. Potential Drug-Drug Interactions in Psychiatric Ward of a Tertiary ...

    African Journals Online (AJOL)

    Purpose: To identify the prevalence of potential drug-drug interactions (pDDIs) in a psychiatric ward, their levels and association with risk factors. Methods: This study was conducted in the psychiatric ward of Ayub Teaching Hospital, Abbottabad, Pakistan. Medical records of 415 patients were retrospectively reviewed for ...

  20. Potential drug-drug interactions in the neurology ward of a tertiary ...

    African Journals Online (AJOL)

    Hospital, Peshawar granted approval (no. NWHP/Eth-H-087/15) for the conduct of this study. In-patients' records were reviewed and screened retrospectively for pDDIs using computerized drug interaction and information system, the Micromedex Drug-Reax System. (Thomson Reuters Healthcare Inc, Greenwood. Village ...

  1. Clinical Drug-Drug Pharmacokinetic Interaction Potential of Sucralfate with Other Drugs

    DEFF Research Database (Denmark)

    Sulochana, Suresh P; Syed, Muzeeb; Chandrasekar, Devaraj V

    2016-01-01

    of drugs. This review covers several category of drugs such as non-steroidal anti-inflammatory drugs, fluoroquinolones, histamine H2-receptor blockers, macrolides, anti-fungals, anti-diabetics, salicylic acid derivatives, steroidal anti-inflammatory drugs and provides pharmacokinetic data summary along...

  2. Potential drug-drug interactions with direct oral anticoagulants in elderly hospitalized patients.

    Science.gov (United States)

    Forbes, Heather L; Polasek, Thomas M

    2017-10-01

    To determine the prevalence and nature of potential drug-drug interactions (DDIs) with direct oral anticoagulants (DOACs) in elderly hospitalized patients. This was a retrospective observational study. Inclusion criteria were: aged over 65 years; taking apixaban, rivaroxaban or dabigatran; and admitted to the Repatriation General Hospital between April 2014 and July 2015. A list of clinically relevant 'perpetrator' drugs was compiled from product information, the Australian Medicines Handbook, the Australian National Prescribing Service resources, and local health network guidelines. The prevalence and nature of potential DDIs with DOACs was determined by comparing inpatient drug charts with the list of perpetrator drugs. There were 122 patients in the study with a mean age of 82 years. Most patients had nonvalvular atrial fibrillation and were taking DOACs to prevent thrombotic stroke (83%). Overall, 45 patients (37%) had a total of 54 potential DDIs. Thirty-five patients had potential pharmacodynamic DDIs with antidepressants, nonsteroidal anti-inflammatory drugs and antiplatelets (35/122, 29%). Nineteen patients had potential pharmacokinetic DDIs (19/122, 16%). Of these, 68% (13/19) were taking drugs that increase DOAC plasma concentrations (amiodarone, erythromycin, diltiazem or verapamil) and 32% (6/19) were taking drugs that decrease DOAC plasma concentrations (carbamazepine, primidone or phenytoin). There were no cases of patients taking contraindicated interacting drugs. Potential DDIs with DOACs in elderly hospital inpatients are relatively common, particularly interactions that may increase the risk of bleeding. The risk-benefit ratio of DOACs in elderly patients on polypharmacy should always be carefully considered.

  3. Drug interaction with radiopharmaceuticals: a review

    Directory of Open Access Journals (Sweden)

    Mario Bernardo-Filho

    2005-10-01

    Full Text Available Clinical images are worthwhile in Health Sciences and their analysis and correct interpretation aid the professionals,such as physicians, physiotherapists and occupational therapists, to make decisions and take subsequent therapeutic and/or rehabilitation measures. Other factors, besides the state of the disease, may interfere and affect the bioavailability of the radiopharmaceuticals (radiobiocomplexes and the quality of the SPECT and PET images. Furthermore, the labeling of some of these radiobiocomplexes, such as plasma proteins, white blood cells and red blood cells, with 99mT, can also be modified. These factors include drugs (synthetic and natural and dietary conditions, as well as some medical procedures (invasive or non-invasive, such as radiation therapy, surgical procedures, prostheses, cardioversion, intubation, chemoperfusion, external massage, immunotherapy, blood transfusion and hemodialysis. In conclusion, the knowledge about these factors capable of interfering with the bioavailability of the radiobiocomplexes is worthwhile for secure diagnosis. Moreover, the development of biological models to study these phenomena is highly relevant and desirable.Imagens clínicas são valiosas em Ciências da Saúde e a análise e a interpretação correta das mesmas auxiliam os profissionais, como médico, fisioterapeuta, terapeuta ocupacional, na tomada de decisões e subseqüentes ações terapêuticas e/ou de reabilitação. Além das doenças outros fatores podem interferir e afetar a biodisponibilidade dos radiofármacos (radiobiocomplexos e a qualidade das imagens (SPECT e PET. Além disso, a marcação de alguns desses radiobiocomplexos com Tc-99m, como proteínas plasmáticas, leucócitos e hemácias, também pode ser modificada. Entre esses fatores, estão drogas (sintéticas e naturais e condições alimentares, assim como alguns procedimentos médicos (invasivos e não invasivos, como a radioterapia, processos cirúrgicos, pr

  4. Contrast media: interactions with other drugs and clinical tests

    International Nuclear Information System (INIS)

    Morcos, Sameh K.; Exley, C.M.; Thomsen, Henrik S.

    2005-01-01

    Many patients with multiple medical problems who are receiving a variety of drugs are investigated with imaging techniques which require intravascular contrast media. The Contrast Media Safety Committee of the European Society of Urogenital Radiology therefore decided to review the literature and to draw up simple guidelines on interactions between contrast media and other drugs. An extensive literature search was carried out and summarized in a report. Based on the available information, simple guidelines have been drawn up. The report and guidelines were discussed at the 11th European Symposium on Urogenital Radiology in Santiago de Compostela. Contrast media may interact with other drugs, and may interfere with isotope studies and biochemical measurements. Awareness of the patient drug history is important to avoid potential hazards. Simple guidelines are presented. (orig.)

  5. FTIR Drug-Polymer Interactions Studies of Perindopril Erbumine

    International Nuclear Information System (INIS)

    Modni, A.; Ahmad, S.; Din, I.; Hussain, Z.

    2014-01-01

    The present study was carried out to prepare different combinations of Perindopril Erbumine with different polymers like Hydroxy propyl methyl cellulose, Hydroxy propyl methyl cellulose K4M, Hydroxy propyl methyl cellulose K15M, Xanthan gum and Ethyl cellulose, thereby to determine any possible interactions between Perindopril erbumine and polymers. The analytical technique Fourier Transform Infrared (FTIR) spectroscopy was used to take spectra of individual drug, polymers and combination of drug with polymers. The results were analyzed to find out any interactions of Perindopril erbumine and polymers. From this study it was concluded that there were no any significant changes in characteristic peaks of drug after combinations with polymers which indicated no interaction between Perindopril erbumine and polymers. (author)

  6. Randomized pharmacokinetic and drug-drug interaction studies of ceftazidime, avibactam, and metronidazole in healthy subjects.

    Science.gov (United States)

    Das, Shampa; Li, Jianguo; Armstrong, Jon; Learoyd, Maria; Edeki, Timi

    2015-10-01

    We assessed pharmacokinetic and safety profiles of ceftazidime-avibactam administered ± metronidazole, and whether drug-drug interactions exist between ceftazidime and avibactam, or ceftazidime-avibactam and metronidazole. The first study (NCT01430910) involved two cohorts of healthy subjects. Cohort 1 received ceftazidime-avibactam (2000-500 mg) as a single infusion or as multiple intravenous infusions over 11 days to evaluate ceftazidime-avibactam pharmacokinetics. Cohort 2 received ceftazidime, avibactam, or ceftazidime-avibactam over 4 days to assess drug-drug interaction between ceftazidime and avibactam. The second study (NCT01534247) assessed interaction between ceftazidime-avibactam and metronidazole in subjects receiving ceftazidime-avibactam (2000-500 mg), metronidazole (500 mg), or metronidazole followed by ceftazidime-avibactam over 4 days. In all studies, subjects received a single-dose on the first and final days, and multiple-doses every 8 h on intervening days. Concentration-time profiles for ceftazidime and avibactam administered as single- or multiple-doses separately or together with/without metronidazole were similar. There was no evidence of time-dependent pharmacokinetics or accumulation. In both interaction studies, 90% confidence intervals for geometric least squares mean ratios of area under the curve and maximum plasma concentrations for each drug were within the predefined interval (80-125%) indicating no drug-drug interaction between ceftazidime and avibactam, or ceftazidime-avibactam and metronidazole. There were no safety concerns. In conclusion, pharmacokinetic parameters and safety of ceftazidime, avibactam, and metronidazole were similar after single and multiple doses with no observed drug-drug interaction between ceftazidime and avibactam, or ceftazidime-avibactam and metronidazole.

  7. [Clinical relevance of drug interactions between nonsteroidal antiinflammatory drugs (NSAIDs) and antihypertensives].

    Science.gov (United States)

    Villa, Juan; Cano, Alejandra; Franco, David; Monsalve, Mauricio; Hincapié, Jaime; Amariles, Pedro

    2014-11-01

    To establish the clinical relevance of drug interactions between nonsteroidal antiinflammatory drugs (NSAIDs) and antihypertensives, based on the interaction severity and probability of occurrence. Systematic review. A PubMed/Medline search was made using the MeSH terms: NSAIDs, Antihypertensive drugs, and Drug interactions. Articles between 2002 and 2012, human studies, in Spanish and English and full text access were included. Found articles were included and some of the references used in this works. Studies with in vitro methods, effects on ocular hypertension and those who do not consider the interaction NSAIDs, antihypertensives were excluded. For the selection of the papers included three independent reviewers were involved. We used a tool for data extraction and for assess of the interaction clinical relevance. Nineteen of 50 papers found were included. There were identified 21 interactions with pharmacodynamic mechanism, classified by their clinical relevance in level-2 high risk (76.2%) and level-3 medium risk (23.8%). In addition, evidence of 16 combinations of no interaction were found. Some NSAIDs may attenuate the effectiveness of antihypertensive drugs when used concurrently, especially with angiotensin converting enzyme inhibitors, diuretics, beta blockers and angiotensin receptorsii blockers. There was no evidence of effect modification of calcium channel antagonists, especially dihydropyridine, by concurrent use of NSAIDs. Copyright © 2013 Elsevier España, S.L.U. All rights reserved.

  8. A pharmacokinetic drug-drug interaction model of simvastatin and clarithromycin in humans.

    Science.gov (United States)

    Methaneethorn, Janthima; Chaiwong, Krissanapong; Pongpanich, Komwut; Sonsingh, Phakawat; Lohitnavy, Manupat

    2014-01-01

    Simvastatin is a HMG-CoA reductase Inhibitor and a substrate of CYP3A4. Clarithromycin is a commonly used macrolide antibiotics and a potent inhibitor of CYP3A4. When co-administered with simvastatin, clarithromycin can significantly increase simvastatin plasma concentration levels, thereby, increase the risk of rhabdomyolysis. At present, pharmacokinetic data of the interaction between both drugs are available. However, they are being used for semi-quantitative application only, not for quantitative prediction. We aimed to develop a mathematical model describing a drug-drug interaction between simvastatin and clarithromycin in humans. Selected pharmacokinetic interaction study was obtained from PubMed search. Concentration-time course data were subsequently extracted and used for model development. Compartmental pharmacokinetic interaction model was developed using Advanced Continuous Simulating Language Extreme (ACSLX), a FORTRAN language-based computer program. The drug-drug interaction between simvastatin and clarithromycin was modeled simultaneously with a parent-metabolite model for clarithromycin and a one-compartment model for simvastatin linked to its active form, simvastatin hydroxy acid. The simulated simvastatin concentrations obtained from the final model displayed satisfactory goodness of fit to the data from the literature. Our model could successfully describe concentration-time course of simvastatin-clarithromycin interaction. The resulting interaction model can be able to use for further development of a quantitative model predicting rhabdomyolysis occurrence in patients concurrently receiving simvastatin and clarithromycin.

  9. Predicting adverse drug reaction profiles by integrating protein interaction networks with drug structures.

    Science.gov (United States)

    Huang, Liang-Chin; Wu, Xiaogang; Chen, Jake Y

    2013-01-01

    The prediction of adverse drug reactions (ADRs) has become increasingly important, due to the rising concern on serious ADRs that can cause drugs to fail to reach or stay in the market. We proposed a framework for predicting ADR profiles by integrating protein-protein interaction (PPI) networks with drug structures. We compared ADR prediction performances over 18 ADR categories through four feature groups-only drug targets, drug targets with PPI networks, drug structures, and drug targets with PPI networks plus drug structures. The results showed that the integration of PPI networks and drug structures can significantly improve the ADR prediction performance. The median AUC values for the four groups were 0.59, 0.61, 0.65, and 0.70. We used the protein features in the best two models, "Cardiac disorders" (median-AUC: 0.82) and "Psychiatric disorders" (median-AUC: 0.76), to build ADR-specific PPI networks with literature supports. For validation, we examined 30 drugs withdrawn from the U.S. market to see if our approach can predict their ADR profiles and explain why they were withdrawn. Except for three drugs having ADRs in the categories we did not predict, 25 out of 27 withdrawn drugs (92.6%) having severe ADRs were successfully predicted by our approach. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  10. Herbal medication: potential for adverse interactions with analgesic drugs.

    Science.gov (United States)

    Abebe, W

    2002-12-01

    The use of herbal supplements in the US has increased dramatically in recent years. These products are not regulated by the Food and Drug Administration (FDA) with the same scrutiny as conventional drugs. Patients who use herbal supplements often do so in conjunction with conventional drugs. This article is a review of potential adverse interactions between some of the commonly used herbal supplements and analgesic drugs. Non-steroidal anti-inflammatory drugs (NSAIDs), particularly aspirin, have the potential to interact with herbal supplements that are known to possess antiplatelet activity (ginkgo, garlic, ginger, bilberry, dong quai, feverfew, ginseng, turmeric, meadowsweet and willow), with those containing coumarin (chamomile, motherworth, horse chestnut, fenugreek and red clover) and with tamarind, enhancing the risk of bleeding. Acetaminophen may also interact with ginkgo and possibly with at least some of the above herbs to increase the risk of bleeding. Further, the incidences of hepatotoxicity and nephrotoxicity may be augmented by acetaminophen when concomitantly used with the potentially hepatotoxic herbs Echinacea and kava, and with herbs containing salicylate (willow, meadowsweet), respectively. The concomitant use of opioid analgesics with the sedative herbal supplements, valerian, kava and chamomile, may lead to increased central nervous system (CNS) depression. The analgesic effect of opioids may also be inhibited by ginseng. It is suggested that health-care professionals should be more aware of the potential adverse interactions between herbal supplements and analgesic drugs, and take appropriate precautionary measures to avoid their possible occurrences. However, as most of the interaction information available is based on individual case reports, animal studies and in vitro data, further research is needed to confirm and assess the clinical significance of these potential interactions.

  11. Patients’ attitudes and experiences with an intervention programme to reduce chronic acid suppressing drug intake in primary care.

    NARCIS (Netherlands)

    Smeets, H.M.; Delnoij, D.M.J.; Hoes, A.W.

    2007-01-01

    Aim: To evaluate the experience and attitude of patients with an acid suppressing drug (ASD) cessation programme, introduced in a large region with 1278 GPs. Design and Methods: A questionnaire was sent to a random sample of 2377 patients on long term ASD (>180 DDD annually) from participating

  12. Prenatal exposure to acid-suppressive drugs and the risk of allergic diseases in the offspring : a cohort study

    NARCIS (Netherlands)

    Mulder, B.; Schuiling-Veninga, C. C. M.; Bos, Jens; De Vries, T. W.; Jick, S. S.; Hak, E.

    BACKGROUND: Recent studies reported increased risks for the development of asthma in children after prenatal exposure to acid-suppressive drugs. As a result of common pathogenesis, associations could also be present for other allergic diseases. METHODS: Using the prescription database IADB.nl, we

  13. Interactions between herbal medicines and prescribed drugs: a systematic review.

    Science.gov (United States)

    Izzo, A A; Ernst, E

    2001-01-01

    Despite the widespread use of herbal medicines, documented herb-drug interactions are sparse. We have reviewed the literature to determine the possible interactions between the seven top-selling herbal medicines (ginkgo, St John's wort, ginseng, garlic, echinacea, saw palmetto and kava) and prescribed drugs. Literature searches were performed using the following databases: Medline (via Pubmed), Cochrane Library, Embase and phytobase (all from their inception to July 2000). All data relating to herb-drug interactions were included regardless of whether they were based on case reports, case series, clinical trials or other types of investigation in humans. In vitro experiments were excluded. Data were extracted by the first author and validated by the second author. 41 case reports or case series and 17 clinical trials were identified. The results indicate that St John's wort (Hypericum perforatum) lowers blood concentrations of cyclosporin, amitriptyline, digoxin, indinavir, warfarin, phenprocoumon and theophylline; furthermore it causes intermenstrual bleeding, delirium or mild serotonin syndrome, respectively, when used concomitantly with oral contraceptives (ethinylestradiol/desogestrel), loperamide or selective serotonin-reuptake inhibitors (sertaline, paroxetine, nefazodone). Ginkgo (Ginkgo biloba) interactions include bleeding when combined with warfarin, raised blood pressure when combined with a thiazide diuretic and coma when combined with trazodone. Ginseng (Panax ginseng) lowers blood concentrations of alcohol and warfarin, and induces mania if used concomitantly with phenelzine. Garlic (Allium sativum) changes pharmacokinetic variables of paracetamol, decreases blood concentrations of warfarin and produces hypoglycaemia when taken with chlorpropamide. Kava (Piper methysticum) increases 'off' periods in Parkinson patients taking levodopa and can cause a semicomatose state when given concomitantly with alprazolam. No interactions were found for echinacea

  14. Acaricide, fungicide and drug interactions in honey bees (Apis mellifera.

    Directory of Open Access Journals (Sweden)

    Reed M Johnson

    Full Text Available BACKGROUND: Chemical analysis shows that honey bees (Apis mellifera and hive products contain many pesticides derived from various sources. The most abundant pesticides are acaricides applied by beekeepers to control Varroa destructor. Beekeepers also apply antimicrobial drugs to control bacterial and microsporidial diseases. Fungicides may enter the hive when applied to nearby flowering crops. Acaricides, antimicrobial drugs and fungicides are not highly toxic to bees alone, but in combination there is potential for heightened toxicity due to interactive effects. METHODOLOGY/PRINCIPAL FINDINGS: Laboratory bioassays based on mortality rates in adult worker bees demonstrated interactive effects among acaricides, as well as between acaricides and antimicrobial drugs and between acaricides and fungicides. Toxicity of the acaricide tau-fluvalinate increased in combination with other acaricides and most other compounds tested (15 of 17 while amitraz toxicity was mostly unchanged (1 of 15. The sterol biosynthesis inhibiting (SBI fungicide prochloraz elevated the toxicity of the acaricides tau-fluvalinate, coumaphos and fenpyroximate, likely through inhibition of detoxicative cytochrome P450 monooxygenase activity. Four other SBI fungicides increased the toxicity of tau-fluvalinate in a dose-dependent manner, although possible evidence of P450 induction was observed at the lowest fungicide doses. Non-transitive interactions between some acaricides were observed. Sublethal amitraz pre-treatment increased the toxicity of the three P450-detoxified acaricides, but amitraz toxicity was not changed by sublethal treatment with the same three acaricides. A two-fold change in the toxicity of tau-fluvalinate was observed between years, suggesting a possible change in the genetic composition of the bees tested. CONCLUSIONS/SIGNIFICANCE: Interactions with acaricides in honey bees are similar to drug interactions in other animals in that P450-mediated detoxication

  15. Acaricide, fungicide and drug interactions in honey bees (Apis mellifera).

    Science.gov (United States)

    Johnson, Reed M; Dahlgren, Lizette; Siegfried, Blair D; Ellis, Marion D

    2013-01-01

    Chemical analysis shows that honey bees (Apis mellifera) and hive products contain many pesticides derived from various sources. The most abundant pesticides are acaricides applied by beekeepers to control Varroa destructor. Beekeepers also apply antimicrobial drugs to control bacterial and microsporidial diseases. Fungicides may enter the hive when applied to nearby flowering crops. Acaricides, antimicrobial drugs and fungicides are not highly toxic to bees alone, but in combination there is potential for heightened toxicity due to interactive effects. Laboratory bioassays based on mortality rates in adult worker bees demonstrated interactive effects among acaricides, as well as between acaricides and antimicrobial drugs and between acaricides and fungicides. Toxicity of the acaricide tau-fluvalinate increased in combination with other acaricides and most other compounds tested (15 of 17) while amitraz toxicity was mostly unchanged (1 of 15). The sterol biosynthesis inhibiting (SBI) fungicide prochloraz elevated the toxicity of the acaricides tau-fluvalinate, coumaphos and fenpyroximate, likely through inhibition of detoxicative cytochrome P450 monooxygenase activity. Four other SBI fungicides increased the toxicity of tau-fluvalinate in a dose-dependent manner, although possible evidence of P450 induction was observed at the lowest fungicide doses. Non-transitive interactions between some acaricides were observed. Sublethal amitraz pre-treatment increased the toxicity of the three P450-detoxified acaricides, but amitraz toxicity was not changed by sublethal treatment with the same three acaricides. A two-fold change in the toxicity of tau-fluvalinate was observed between years, suggesting a possible change in the genetic composition of the bees tested. Interactions with acaricides in honey bees are similar to drug interactions in other animals in that P450-mediated detoxication appears to play an important role. Evidence of non-transivity, year-to-year variation

  16. A review of drug-drug interactions in older HIV-infected patients.

    Science.gov (United States)

    Chary, Aarthi; Nguyen, Nancy N; Maiton, Kimberly; Holodniy, Mark

    2017-12-01

    The number of older HIV-infected people is growing due to increasing life expectancies resulting from the use of antiretroviral therapy (ART). Both HIV and aging increase the risk of other comorbidities, such as cardiovascular disease, osteoporosis, and some malignancies, leading to greater challenges in managing HIV with other conditions. This results in complex medication regimens with the potential for significant drug-drug interactions and increased morbidity and mortality. Area covered: We review the metabolic pathways of ART and other medications used to treat medical co-morbidities, highlight potential areas of concern for drug-drug interactions, and where feasible, suggest alternative approaches for treating these conditions as suggested from national guidelines or articles published in the English language. Expert commentary: There is limited evidence-based data on ART drug interactions, pharmacokinetics and pharmacodynamics in the older HIV-infected population. Choosing and maintaining effective ART regimens for older adults requires consideration of side effect profile, individual comorbidities, interactions with concurrent prescriptions and non-prescription medications and supplements, dietary patterns with respect to dosing, pill burden and ease of dosing, cost and affordability, patient preferences, social situation, and ART resistance history. Practitioners must remain vigilant for potential drug interactions and intervene when there is a potential for harm.

  17. Pharmacokinetic Interactions between Drugs and Botanical Dietary Supplements.

    Science.gov (United States)

    Sprouse, Alyssa A; van Breemen, Richard B

    2016-02-01

    The use of botanical dietary supplements has grown steadily over the last 20 years despite incomplete information regarding active constituents, mechanisms of action, efficacy, and safety. An important but underinvestigated safety concern is the potential for popular botanical dietary supplements to interfere with the absorption, transport, and/or metabolism of pharmaceutical agents. Clinical trials of drug-botanical interactions are the gold standard and are usually carried out only when indicated by unexpected consumer side effects or, preferably, by predictive preclinical studies. For example, phase 1 clinical trials have confirmed preclinical studies and clinical case reports that St. John's wort (Hypericum perforatum) induces CYP3A4/CYP3A5. However, clinical studies of most botanicals that were predicted to interact with drugs have shown no clinically significant effects. For example, clinical trials did not substantiate preclinical predictions that milk thistle (Silybum marianum) would inhibit CYP1A2, CYP2C9, CYP2D6, CYP2E1, and/or CYP3A4. Here, we highlight discrepancies between preclinical and clinical data concerning drug-botanical interactions and critically evaluate why some preclinical models perform better than others in predicting the potential for drug-botanical interactions. Gaps in knowledge are also highlighted for the potential of some popular botanical dietary supplements to interact with therapeutic agents with respect to absorption, transport, and metabolism. Copyright © 2016 by The American Society for Pharmacology and Experimental Therapeutics.

  18. The potential drug-drug interaction between proton pump inhibitors and warfarin

    DEFF Research Database (Denmark)

    Henriksen, Daniel Pilsgaard; Stage, Tore Bjerregaard; Hansen, Morten Rix

    2015-01-01

    BACKGROUND: Proton pump inhibitors (PPIs) have been suggested to increase the effect of warfarin, and clinical guidelines recommend careful monitoring of international normalized ratio (INR) when initiating PPI among warfarin users. However, this drug-drug interaction is sparsely investigated...... before and after PPI initiation. Sensitivity analyses revealed no differences among individual PPIs. CONCLUSIONS: We found no evidence of a clinically meaningful drug-drug interaction between PPIs and warfarin in a Northern European patient population of unselected patients from an everyday outpatient...... and outpatient clinics and their use of prescription drugs. Data were analyzed in 2015. We assessed INR, warfarin dose, and dose/INR ratio before and after initiating PPI treatment using the paired student's t-test. RESULTS: We identified 305 warfarin users initiating treatment with PPIs. The median age was 71...

  19. Pharmacokinetic and pharmacodynamic drug interactions between antiretrovirals and oral contraceptives.

    Science.gov (United States)

    Tittle, Victoria; Bull, Lauren; Boffito, Marta; Nwokolo, Nneka

    2015-01-01

    More than 50 % of women living with HIV in low- and middle-income countries are of reproductive age, but there are limitations to the administration of oral contraception for HIV-infected women receiving antiretroviral therapy due to drug-drug interactions caused by metabolism via the cytochrome P450 isoenzymes and glucuronidation. However, with the development of newer antiretrovirals that use alternative metabolic pathways, options for contraception in HIV-positive women are increasing. This paper aims to review the literature on the pharmacokinetics and pharmacodynamics of oral hormonal contraceptives when given with antiretroviral agents, including those currently used in developed countries, older ones that might still be used in salvage regimens, or those used in resource-limited settings, as well as newer drugs. Nucleos(t)ide reverse transcriptase inhibitors (NRTIs), the usual backbone to most combined antiretroviral treatments (cARTs) are characterised by a low potential for drug-drug interactions with oral contraceptives. On the other hand non-NRTIs (NNRTIs) and protease inhibitors (PIs) may interact with oral contraceptives. Of the NNRTIs, efavirenz and nevirapine have been demonstrated to cause drug-drug interactions; however, etravirine and rilpivirine appear safe to use without dose adjustment. PIs boosted with ritonavir are not recommended to be used with oral contraceptives, with the exception of boosted atazanavir which should be used with doses of at least 35 µg of estrogen. Maraviroc, an entry inhibitor, is safe for co-administration with oral contraceptives, as are the integrase inhibitors (INIs) raltegravir and dolutegravir. However, the INI elvitegravir, which is given in combination with cobicistat, requires a dose of estrogen of at least 30 µg. Despite the growing evidence in this field, data are still lacking in terms of large cohort studies, randomised trials and correlations to real clinical outcomes, such as pregnancy rates, in women

  20. Pharmacogenetics of drug-drug interaction and drug-drug-gene interaction: a systematic review on CYP2C9, CYP2C19 and CYP2D6.

    Science.gov (United States)

    Bahar, Muh Akbar; Setiawan, Didik; Hak, Eelko; Wilffert, Bob

    2017-05-01

    Currently, most guidelines on drug-drug interaction (DDI) neither consider the potential effect of genetic polymorphism in the strength of the interaction nor do they account for the complex interaction caused by the combination of DDI and drug-gene interaction (DGI) where there are multiple biotransformation pathways, which is referred to as drug-drug-gene interaction (DDGI). In this systematic review, we report the impact of pharmacogenetics on DDI and DDGI in which three major drug-metabolizing enzymes - CYP2C9, CYP2C19 and CYP2D6 - are central. We observed that several DDI and DDGI are highly gene-dependent, leading to a different magnitude of interaction. Precision drug therapy should take pharmacogenetics into account when drug interactions in clinical practice are expected.

  1. iNR-Drug: predicting the interaction of drugs with nuclear receptors in cellular networking.

    Science.gov (United States)

    Fan, Yue-Nong; Xiao, Xuan; Min, Jian-Liang; Chou, Kuo-Chen

    2014-03-19

    Nuclear receptors (NRs) are closely associated with various major diseases such as cancer, diabetes, inflammatory disease, and osteoporosis. Therefore, NRs have become a frequent target for drug development. During the process of developing drugs against these diseases by targeting NRs, we are often facing a problem: Given a NR and chemical compound, can we identify whether they are really in interaction with each other in a cell? To address this problem, a predictor called "iNR-Drug" was developed. In the predictor, the drug compound concerned was formulated by a 256-D (dimensional) vector derived from its molecular fingerprint, and the NR by a 500-D vector formed by incorporating its sequential evolution information and physicochemical features into the general form of pseudo amino acid composition, and the prediction engine was operated by the SVM (support vector machine) algorithm. Compared with the existing prediction methods in this area, iNR-Drug not only can yield a higher success rate, but is also featured by a user-friendly web-server established at http://www.jci-bioinfo.cn/iNR-Drug/, which is particularly useful for most experimental scientists to obtain their desired data in a timely manner. It is anticipated that the iNR-Drug server may become a useful high throughput tool for both basic research and drug development, and that the current approach may be easily extended to study the interactions of drug with other targets as well.

  2. Acid-Suppressive Drug Use During Pregnancy and the Risk of Childhood Asthma: A Meta-analysis.

    Science.gov (United States)

    Lai, Tianwen; Wu, Mindan; Liu, Juan; Luo, Man; He, Lulu; Wang, Xiaohui; Wu, Bin; Ying, Songmin; Chen, Zhihua; Li, Wen; Shen, Huahao

    2018-02-01

    The association between acid-suppressive drug exposure during pregnancy and childhood asthma has not been well established. To conduct a systematic review and meta-analysis on this association to provide further justification for the current studies. We searched PubMed, Medline, Embase, the Cochrane Database of Systematic Reviews, EBSCO Information Services, Web of Science, and Google Scholar from inception until June 2017. Observational studies in which researchers assessed acid-suppressive drug use during pregnancy and the risk of childhood asthma were included. Of 556 screened articles, 8 population-based studies were included in the final analyses. When all the studies were pooled, acid-suppressive drug use in pregnancy was associated with an increased risk of asthma in childhood (relative risk [RR] = 1.45; 95% confidence interval [CI] 1.35-1.56; I 2 = 0%; P < .00001). The overall risk of asthma in childhood increased among proton pump inhibitor users (RR = 1.34; 95% CI 1.18-1.52; I 2 = 46%; P < .00001) and histamine-2 receptor antagonist users (RR = 1.57; 95% CI 1.46-1.69; I 2 = 0%; P < .00001). None of the researchers in the studies in this meta-analysis adjusted for the full panel of known confounders in these associations. The evidence suggests that prenatal, maternal, acid-suppressive drug use is associated with an increased risk of childhood asthma. This information may help clinicians and parents to use caution when deciding whether to take acid-suppressing drugs during pregnancy because of the risk of asthma in offspring. Copyright © 2018 by the American Academy of Pediatrics.

  3. A comparison of five common drug-drug interaction software programs regarding accuracy and comprehensiveness.

    Science.gov (United States)

    Kheshti, Raziyeh; Aalipour, Mohammadsadegh; Namazi, Soha

    2016-01-01

    Drug-drug interactions (DDIs) can cause failure in treatment and adverse events. DDIs screening software is an important tool to aid clinicians in the detection and management of DDIs. However, clinicians should be aware of the advantages and limitations of these programs. We compared the ability of five common DDI programs to detect clinically important DDIs. Lexi-Interact, Micromedex Drug Interactions, iFacts, Medscape, and Epocrates were evaluated. The programs' sensitivity, specificity, and positive and negative predictive values were determined to assess their accuracy in detecting DDIs. The accuracy of each program was identified using 360 unknown pair interactions, taken randomly from prescriptions, and forty pairs of clinically important ones. The major reference was a clinical pharmacist alongside the Stockley's Drug Interaction and databases including PubMed, Scopus, and Google Scholar. Comprehensiveness of each program was determined by the number of components in the drug interaction monograph. The aggregate score for accuracy and comprehensiveness was calculated. Scoring 250 out of possible 400 points, Lexi-Interact and Epocrates, provided the most accurate software programs. Micromedex, Medscape, and iFacts ranked third, fourth, and fifth, scoring 236, 202, and 191, respectively. In comprehensiveness test, iFacts showed the highest score, 134 out of possible 134 points, whereas Lexi-Interact rated second, with a score of 120. Scoring 370 and 330 out of possible 534 points, Lexi-Interact and Micromedex, respectively, provided the most competent, complete, and user-friendly applications. Lexi-Interact and Micromedex showed the best performances. An increase in sensitivity is possible by the combination of more than one programs and expert pharmacist intervention.

  4. Using Nonexperts for Annotating Pharmacokinetic Drug-Drug Interaction Mentions in Product Labeling: A Feasibility Study.

    Science.gov (United States)

    Hochheiser, Harry; Ning, Yifan; Hernandez, Andres; Horn, John R; Jacobson, Rebecca; Boyce, Richard D

    2016-04-11

    Because vital details of potential pharmacokinetic drug-drug interactions are often described in free-text structured product labels, manual curation is a necessary but expensive step in the development of electronic drug-drug interaction information resources. The use of nonexperts to annotate potential drug-drug interaction (PDDI) mentions in drug product label annotation may be a means of lessening the burden of manual curation. Our goal was to explore the practicality of using nonexpert participants to annotate drug-drug interaction descriptions from structured product labels. By presenting annotation tasks to both pharmacy experts and relatively naïve participants, we hoped to demonstrate the feasibility of using nonexpert annotators for drug-drug information annotation. We were also interested in exploring whether and to what extent natural language processing (NLP) preannotation helped improve task completion time, accuracy, and subjective satisfaction. Two experts and 4 nonexperts were asked to annotate 208 structured product label sections under 4 conditions completed sequentially: (1) no NLP assistance, (2) preannotation of drug mentions, (3) preannotation of drug mentions and PDDIs, and (4) a repeat of the no-annotation condition. Results were evaluated within the 2 groups and relative to an existing gold standard. Participants were asked to provide reports on the time required to complete tasks and their perceptions of task difficulty. One of the experts and 3 of the nonexperts completed all tasks. Annotation results from the nonexpert group were relatively strong in every scenario and better than the performance of the NLP pipeline. The expert and 2 of the nonexperts were able to complete most tasks in less than 3 hours. Usability perceptions were generally positive (3.67 for expert, mean of 3.33 for nonexperts). The results suggest that nonexpert annotation might be a feasible option for comprehensive labeling of annotated PDDIs across a broader

  5. Understanding and preventing drug–drug and drug–gene interactions

    Science.gov (United States)

    Tannenbaum, Cara; Sheehan, Nancy L

    2014-01-01

    Concomitant administration of multiple drugs can lead to unanticipated drug interactions and resultant adverse drug events with their associated costs. A more thorough understanding of the different cytochrome P450 isoenzymes and drug transporters has led to new methods to try to predict and prevent clinically relevant drug interactions. There is also an increased recognition of the need to identify the impact of pharmacogenetic polymorphisms on drug interactions. More stringent regulatory requirements have evolved for industry to classify cytochrome inhibitors and inducers, test the effect of drug interactions in the presence of polymorphic enzymes, and evaluate multiple potentially interacting drugs simultaneously. In clinical practice, drug alert software programs have been developed. This review discusses drug interaction mechanisms and strategies for screening and minimizing exposure to drug interactions. We also provide future perspectives for reducing the risk of clinically significant drug interactions. PMID:24745854

  6. Physician experience and rates of plasma HIV-1 RNA suppression among illicit drug users: an observational study

    Directory of Open Access Journals (Sweden)

    Sangsari Sassan

    2012-01-01

    Full Text Available Abstract Background Despite the availability of antiretroviral therapy (ART, suboptimal treatment outcomes have been observed among HIV-seropositive illicit drug users. As there is an urgent need to improve responses to antiretroviral therapy among this population, we undertook this study to evaluate the role of physician experience on rates of plasma HIV-1 RNA suppression following initiation of ART. Methods Using data from a community-recruited cohort of HIV-positive illicit drug users, we used Cox proportional hazards regression to model the time to plasma viral HIV RNA Results Between May 1996 and December 2008, 267 individuals initiated ART among whom 227 (85% achieved a plasma HIV RNA Conclusions In this setting of universal HIV/AIDS care, illicit drug users with more experienced physicians exhibited faster rates of plasma viral load suppression. These findings argue for specialized services to help optimize HIV treatment outcomes among this population.

  7. Arrest of chronic acid suppressant drug use after successful Helicobacter pylori eradication in patients with peptic ulcer disease: a six-month follow-up study

    NARCIS (Netherlands)

    Hurenkamp, G. J.; Grundmeijer, H. G.; van der Ende, A.; Tytgat, G. N.; Assendelft, W. J.; van der Hulst, R. W.

    2001-01-01

    BACKGROUND: It remains controversial whether successful H. pylori eradication leads to relief of dyspepsia and the subsequent arrest or tapering of acid-suppressant drug therapy, or to an aggravation of acid-related dyspepsia requiring more acid-suppressant drug intake. AIM: To evaluate

  8. Cognitive enhancers (nootropics). Part 1: drugs interacting with receptors.

    Science.gov (United States)

    Froestl, Wolfgang; Muhs, Andreas; Pfeifer, Andrea

    2012-01-01

    Cognitive enhancers (nootropics) are drugs to treat cognition deficits in patients suffering from Alzheimer's disease, schizophrenia, stroke, attention deficit hyperactivity disorder, or aging. Cognition refers to a capacity for information processing, applying knowledge, and changing preferences. It involves memory, attention, executive functions, perception, language, and psychomotor functions. The term nootropics was coined in 1972 when memory enhancing properties of piracetam were observed in clinical trials. In the meantime, hundreds of drugs have been evaluated in clinical trials or in preclinical experiments. To classify the compounds, a concept is proposed assigning drugs to 18 categories according to their mechanism(s) of action, in particular drugs interacting with receptors, enzymes, ion channels, nerve growth factors, re-uptake transporters, antioxidants, metal chelators, and disease-modifying drugs meaning small molecules, vaccines, and monoclonal antibodies interacting with amyloid-β and tau. For drugs, whose mechanism of action is not known, they are either classified according to structure, e.g., peptides, or their origin, e.g., natural products. The review covers the evolution of research in this field over the last 25 years.

  9. Cognitive enhancers (nootropics). Part 2: drugs interacting with enzymes.

    Science.gov (United States)

    Froestl, Wolfgang; Muhs, Andreas; Pfeifer, Andrea

    2013-01-01

    Cognitive enhancers (nootropics) are drugs to treat cognition deficits in patients suffering from Alzheimer's disease, schizophrenia, stroke, attention deficit hyperactivity disorder, or aging. Cognition refers to a capacity for information processing, applying knowledge, and changing preferences. It involves memory, attention, executive functions, perception, language, and psychomotor functions. The term nootropics was coined in 1972 when memory enhancing properties of piracetam were observed in clinical trials. In the meantime, hundreds of drugs have been evaluated in clinical trials or in preclinical experiments. To classify the compounds, a concept is proposed assigning drugs to 19 categories according to their mechanism(s) of action, in particular drugs interacting with receptors, enzymes, ion channels, nerve growth factors, re-uptake transporters, antioxidants, metal chelators, and disease modifying drugs meaning small molecules, vaccines, and monoclonal antibodies interacting with amyloid-β and tau. For drugs whose mechanism of action is not known, they are either classified according to structure, e.g., peptides, or their origin, e.g., natural products. This review covers the evolution of research in this field over the last 25 years.

  10. Studies on pharmacokinetic drug interaction potential of vinpocetine

    Science.gov (United States)

    Background: Vinpocetine, a semi-synthetic derivative of vincamine, is a popular dietary supplement used for the treatment of several central nervous system related disorders. Despite its wide use, no pharmacokinetic drug interaction studies are reported in literature. Due to increasing use of dietar...

  11. Interactions of Rosiglitazone and Anti.Arrhythmic Drugs in Animal ...

    African Journals Online (AJOL)

    Interactions of Rosiglitazone and Anti.Arrhythmic Drugs in Animal Model. YM Mohammed, EI Mohammed, N Mohiuddin, SS Syeda. Abstract. Background: Diabetes increases the risk of vascular problems by two times compared with a healthy individual, with deposition of fats in blood vessel and this includes cardiovascular ...

  12. Editorial : Clinical drug interactions | Kokwaro | East African Medical ...

    African Journals Online (AJOL)

    Journal Home > Vol 78, No 10 (2001) >. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register. Editorial: Clinical drug interactions. G. O. Kokwaro. Abstract. (East African Medical Journal 2001 78 (10): 505-506). Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  13. iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking

    Directory of Open Access Journals (Sweden)

    Yue-Nong Fan

    2014-03-01

    Full Text Available Nuclear receptors (NRs are closely associated with various major diseases such as cancer, diabetes, inflammatory disease, and osteoporosis. Therefore, NRs have become a frequent target for drug development. During the process of developing drugs against these diseases by targeting NRs, we are often facing a problem: Given a NR and chemical compound, can we identify whether they are really in interaction with each other in a cell? To address this problem, a predictor called “iNR-Drug” was developed. In the predictor, the drug compound concerned was formulated by a 256-D (dimensional vector derived from its molecular fingerprint, and the NR by a 500-D vector formed by incorporating its sequential evolution information and physicochemical features into the general form of pseudo amino acid composition, and the prediction engine was operated by the SVM (support vector machine algorithm. Compared with the existing prediction methods in this area, iNR-Drug not only can yield a higher success rate, but is also featured by a user-friendly web-server established at http://www.jci-bioinfo.cn/iNR-Drug/, which is particularly useful for most experimental scientists to obtain their desired data in a timely manner. It is anticipated that the iNR-Drug server may become a useful high throughput tool for both basic research and drug development, and that the current approach may be easily extended to study the interactions of drug with other targets as well.

  14. Malaria therapy in HIV: drug interactions between nevirapine and quinine.

    Science.gov (United States)

    Uriel, A; Lewthwaite, P

    2011-12-01

    We report the case of an HIV-positive Nigerian man on antiretroviral therapy (ART) with an undetectable viral load who presented with rigors, fever and back pain after returning to the UK from a three-week trip to Nigeria. Infection with Plasmodium falciparum malaria was confirmed and treatment with quinine commenced together with amoxicillin/clavulanic acid and clarithromycin for possible respiratory infection. At the time of admission the patient could not remember the names of his ART medications. After 24 hours his parasitaemia had increased from 1% to 2.5% and his clinical condition had deteriorated. At this point, his ART was identified as abacavir, lamivudine and nevirapine. The Liverpool HIV-drug interactions website was checked for drug interactions. It recommends caution in the co-administration of both clarithromycin and quinine with nevirapine. Quinine is metabolized by CYP34A and exposure is likely to be decreased by induction of these enzymes in patients taking nevirapine. Given the clinical deterioration the patient was switched to Malarone® (atovoquone/ proguanil) which has no clinically significant interactions with nevirapine. He responded to treatment and was discharged home after 48 hours. This case highlights the importance of knowing the potential drug interactions with ART and the importance of checking for such interactions when prescribing new medications.

  15. Drug interactions evaluation: An integrated part of risk assessment of therapeutics

    International Nuclear Information System (INIS)

    Zhang, Lei; Reynolds, Kellie S.; Zhao, Ping; Huang, Shiew-Mei

    2010-01-01

    Pharmacokinetic drug interactions can lead to serious adverse events or decreased drug efficacy. The evaluation of a new molecular entity's (NME's) drug-drug interaction potential is an integral part of risk assessment during drug development and regulatory review. Alteration of activities of enzymes or transporters involved in the absorption, distribution, metabolism, or excretion of a new molecular entity by concomitant drugs may alter drug exposure, which can impact response (safety or efficacy). The recent Food and Drug Administration (FDA) draft drug interaction guidance ( (http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm072101.pdf)) highlights the methodologies and criteria that may be used to guide drug interaction evaluation by industry and regulatory agencies and to construct informative labeling for health practitioner and patients. In addition, the Food and Drug Administration established a 'Drug Development and Drug Interactions' website to provide up-to-date information regarding evaluation of drug interactions ( (http://www.fda.gov/Drugs/DevelopmentApprovalProcess/DevelopmentResources/DrugInteractionsLabeling/ucm080499.htm)). This review summarizes key elements in the FDA drug interaction guidance and new scientific developments that can guide the evaluation of drug-drug interactions during the drug development process.

  16. Competitive and Synergistic Interactions between Polymer Micelles, Drugs, and Cyclodextrins: The Importance of Drug Solubilization Locus.

    Science.gov (United States)

    Valero, Margarita; Castiglione, Franca; Mele, Andrea; da Silva, Marcelo A; Grillo, Isabelle; González-Gaitano, Gustavo; Dreiss, Cécile A

    2016-12-13

    Polymeric micelles, in particular PEO-PPO-based Pluronic, have emerged as promising drug carriers, while cyclodextrins (CD), cyclic oligosaccharides with an apolar cavity, have long been used for their capacity to form inclusion complexes with drugs. Dimethylated β-cyclodextrin (DIMEB) has the capacity to fully breakup F127 Pluronic micelles, while this effect is substantially hindered if drugs are loaded within the micellar aggregates. Four drugs were studied at physiological temperature: lidocaine (LD), pentobarbital sodium salt (PB), sodium naproxen (NP), and sodium salicylate (SAL); higher temperatures shift the equilibrium toward higher drug partitioning and lower drug/CD binding compared to 25 °C ( Valero, M.; Dreiss, C. A. Growth, Shrinking, and Breaking of Pluronic Micelles in the Presence of Drugs and/or β-Cyclodextrin, a Study by Small-Angle Neutron Scattering and Fluorescence Spectroscopy . Langmuir 2010 , 26 , 10561 - 10571 ). The impact of drugs on micellar structure was characterized by small-angle neutron scattering (SANS), while their solubilization locus was revealed by 2D NOESY NMR. UV and fluorescence spectroscopy, Dynamic and Static Light Scattering were employed to measure a range of micellar properties and drug:CD interactions: binding constant, drug partitioning within the micelles, critical micellar concentration of the loaded micelles, aggregation number (N agg ). Critically, time-resolved SANS (TR-SANS) reveal that micellar breakup in the presence of drugs is substantially slower (100s of seconds) than for the free micelles (<100 ms) ( Valero, M.; Grillo, I.; Dreiss, C. A. Rupture of Pluronic Micelles by Di-Methylated β-Cyclodextrin Is Not Due to Polypseudorotaxane Formation . J. Phys. Chem. B 2012 , 116 , 1273 - 1281 ). These results combined together give new insights into the mechanisms of protection of the drugs against CD-induced micellar breakup. The outcomes are practical guidelines to improve the design of drug delivery systems

  17. Position-aware deep multi-task learning for drug-drug interaction extraction.

    Science.gov (United States)

    Zhou, Deyu; Miao, Lei; He, Yulan

    2018-03-17

    A drug-drug interaction (DDI) is a situation in which a drug affects the activity of another drug synergistically or antagonistically when being administered together. The information of DDIs is crucial for healthcare professionals to prevent adverse drug events. Although some known DDIs can be found in purposely-built databases such as DrugBank, most information is still buried in scientific publications. Therefore, automatically extracting DDIs from biomedical texts is sorely needed. In this paper, we propose a novel position-aware deep multi-task learning approach for extracting DDIs from biomedical texts. In particular, sentences are represented as a sequence of word embeddings and position embeddings. An attention-based bidirectional long short-term memory (BiLSTM) network is used to encode each sentence. The relative position information of words with the target drugs in text is combined with the hidden states of BiLSTM to generate the position-aware attention weights. Moreover, the tasks of predicting whether or not two drugs interact with each other and further distinguishing the types of interactions are learned jointly in multi-task learning framework. The proposed approach has been evaluated on the DDIExtraction challenge 2013 corpus and the results show that with the position-aware attention only, our proposed approach outperforms the state-of-the-art method by 0.99% for binary DDI classification, and with both position-aware attention and multi-task learning, our approach achieves a micro F-score of 72.99% on interaction type identification, outperforming the state-of-the-art approach by 1.51%, which demonstrates the effectiveness of the proposed approach. Copyright © 2018 Elsevier B.V. All rights reserved.

  18. Prediction of drug-target interactions for drug repositioning only based on genomic expression similarity.

    Directory of Open Access Journals (Sweden)

    Kejian Wang

    Full Text Available Small drug molecules usually bind to multiple protein targets or even unintended off-targets. Such drug promiscuity has often led to unwanted or unexplained drug reactions, resulting in side effects or drug repositioning opportunities. So it is always an important issue in pharmacology to identify potential drug-target interactions (DTI. However, DTI discovery by experiment remains a challenging task, due to high expense of time and resources. Many computational methods are therefore developed to predict DTI with high throughput biological and clinical data. Here, we initiatively demonstrate that the on-target and off-target effects could be characterized by drug-induced in vitro genomic expression changes, e.g. the data in Connectivity Map (CMap. Thus, unknown ligands of a certain target can be found from the compounds showing high gene-expression similarity to the known ligands. Then to clarify the detailed practice of CMap based DTI prediction, we objectively evaluate how well each target is characterized by CMap. The results suggest that (1 some targets are better characterized than others, so the prediction models specific to these well characterized targets would be more accurate and reliable; (2 in some cases, a family of ligands for the same target tend to interact with common off-targets, which may help increase the efficiency of DTI discovery and explain the mechanisms of complicated drug actions. In the present study, CMap expression similarity is proposed as a novel indicator of drug-target interactions. The detailed strategies of improving data quality by decreasing the batch effect and building prediction models are also effectively established. We believe the success in CMap can be further translated into other public and commercial data of genomic expression, thus increasing research productivity towards valid drug repositioning and minimal side effects.

  19. Prediction of Effective Drug Combinations by Chemical Interaction, Protein Interaction and Target Enrichment of KEGG Pathways

    Science.gov (United States)

    Chen, Lei; Zheng, Ming-Yue; Zhang, Jian; Feng, Kai-Yan; Cai, Yu-Dong

    2013-01-01

    Drug combinatorial therapy could be more effective in treating some complex diseases than single agents due to better efficacy and reduced side effects. Although some drug combinations are being used, their underlying molecular mechanisms are still poorly understood. Therefore, it is of great interest to deduce a novel drug combination by their molecular mechanisms in a robust and rigorous way. This paper attempts to predict effective drug combinations by a combined consideration of: (1) chemical interaction between drugs, (2) protein interactions between drugs' targets, and (3) target enrichment of KEGG pathways. A benchmark dataset was constructed, consisting of 121 confirmed effective combinations and 605 random combinations. Each drug combination was represented by 465 features derived from the aforementioned three properties. Some feature selection techniques, including Minimum Redundancy Maximum Relevance and Incremental Feature Selection, were adopted to extract the key features. Random forest model was built with its performance evaluated by 5-fold cross-validation. As a result, 55 key features providing the best prediction result were selected. These important features may help to gain insights into the mechanisms of drug combinations, and the proposed prediction model could become a useful tool for screening possible drug combinations. PMID:24083237

  20. Global patient safety and antiretroviral drug-drug interactions in the resource-limited setting.

    Science.gov (United States)

    Seden, Kay; Khoo, Saye H; Back, David; Byakika-Kibwika, Pauline; Lamorde, Mohammed; Ryan, Mairin; Merry, Concepta

    2013-01-01

    Scale-up of HIV treatment services may have contributed to an increase in functional health facilities available in resource-limited settings and an increase in patient use of facilities and retention in care. As more patients are reached with medicines, monitoring patient safety is increasingly important. Limited data from resource-limited settings suggest that medication error and antiretroviral drug-drug interactions may pose a significant risk to patient safety. Commonly cited causes of medication error in the developed world include the speed and complexity of the medication use cycle combined with inadequate systems and processes. In resource-limited settings, specific factors may contribute, such as inadequate human resources and high disease burden. Management of drug-drug interactions may be complicated by limited access to alternative medicines or laboratory monitoring. Improving patient safety by addressing the issue of antiretroviral drug-drug interactions has the potential not just to improve healthcare for individuals, but also to strengthen health systems and improve vital communication among healthcare providers and with regulatory agencies.

  1. Drug Interactions between some antiepileptic and certain hypocholesterolaemic drugs in irradiated animals

    International Nuclear Information System (INIS)

    Shaaban, D.M.L.

    2015-01-01

    Drug Interactions between antiepileptic drug such as phenytoin and certain hypercholesterolaemia drug namely rosuvastatin were investigated on several biological parameters. Phenytoin (60 mg/kg i.p) and rosuvastatin (1.25 mg/kg i.p) were given either alone and in combination to normal and irradiated animals to investigate drug interactions between the test drugs. Anticonvulsant activity was evaluated using pentylenetetrazole in a dose (80 mg/kg i.p) in normal and irradiated mice. Brain neurotransmitters (glutamate and GABA) were investigated. Lipid profile (total cholesterol (TC), Triacylglycerol (TG), High density lipoprotein-cholesterol (HDL-C) and low density lipoprotein- cholesterol (LDL-C) were determined. Liver functions such as serum Aspartate amino transferase (AST) and serum alanine amino transferase (ALT) were also estimated. Oxidative stress bio markers namely serum malondialdehyde (MDA), serum nitric oxide (NO) and blood superoxide dismutase activity (SOD) were studied. Histopathological examinations of brain and liver tissues were performed. Administration of phenytoin concurrently with rosuvastatin is not recommended in patients receiving radiotherapy as dangerous side effects on liver functions and lipid profile may occur. The interactions between the two drugs in normal rats improve liver functions and lipid peroxidation. Apart from the action of the combination on total cholesterol, it improves lipid profile pattern. Rosuvastatin administration in combination with phenytoin may have additive anticonvulsant activity.

  2. Drug-Drug Interaction Associated with Mold-Active Triazoles among Hospitalized Patients.

    Science.gov (United States)

    Andes, David; Azie, Nkechi; Yang, Hongbo; Harrington, Rachel; Kelley, Caroline; Tan, Ruo-Ding; Wu, Eric Q; Franks, Billy; Kristy, Rita; Lee, Edward; Khandelwal, Nikhil; Spalding, James

    2016-06-01

    The majority of hospitalized patients receiving mold-active triazoles are at risk of drug-drug interactions (DDIs). Efforts are needed to increase awareness of DDIs that pose a serious risk of adverse events. Triazoles remain the most commonly utilized antifungals. Recent developments have included the mold-active triazoles (MATs) itraconazole, voriconazole, and posaconazole, which are first-line agents for the treatment of filamentous fungal infections but have the potential for DDIs. This objective of this study was to evaluate the prevalence of triazole DDIs. Hospitalized U.S. adults with MAT use were identified in the Cerner HealthFacts database, which contained data from over 150 hospitals (2005 to 2013). The severities of DDIs with MATs were categorized, using drug labels and the drug information from the Drugdex system (Thompson Micromedex), into four groups (contraindicated, major, moderate, and minor severity). DDIs of minor severity were not counted. A DDI event was considered to have occurred if the following two conditions were met: (i) the patient used at least one drug with a classification of at least a moderate interaction with the MAT during the hospitalization and (ii) there was a period of overlap between the administration of the MAT and that of the interacting drug of at least 1 day. A total of 6,962 hospitalizations with MAT use were identified. Among them, 88% of hospitalizations with voriconazole use, 86% of hospitalizations with itraconazole use, and 93% of hospitalizations with posaconazole use included the use of a concomitant interacting drug. A total of 68% of hospitalizations with posaconazole use, 34% of hospitalizations with itraconazole use, and 20% of hospitalizations with voriconazole use included the use of at least one drug with a DDI of contraindicated severity. A total of 83% of hospitalizations with posaconazole use, 61% of hospitalizations with itraconazole use, and 82% of hospitalizations with voriconazole use included the

  3. The interaction of encapsulated pharmaceutical drugs with a silica matrix.

    Science.gov (United States)

    Morais, Everton C; Correa, Gabriel G; Brambilla, Rodrigo; Radtke, Claudio; Baibich, Ione Maluf; dos Santos, João Henrique Z

    2013-03-01

    A series of seven drugs, namely, fluoxetine, gentamicin, lidocaine, morphine, nifedipine, paracetamol and tetracycline, were encapsulated. The encapsulated systems were characterized using a series of complementary techniques: Fourier-transform infrared spectroscopy (FT-IR), diffusive reflectance spectroscopy in the UV-vis region (DRS) and X-ray photoelectron spectroscopy (XPS). According to the DRS spectra, most of the encapsulated systems showed a band shift of the maximum absorption when compared with the corresponding bare pharmaceutical. Additionally, after encapsulation, the drugs exhibited infrared band shifts toward higher wavenumbers, which in turn provided insight into potential sites for interaction with the silica framework. The amine group showed a band shift in the spectra of almost all the drugs (except nifedipine and tetracycline). This finding indicates the possibility of a hydrogen bonding interaction between the drug and the silica via electron donation from the amine group to the silica framework. XPS confirmed this interaction between the pharmaceuticals and the silica through the amine group. A correlation was observed between the textural characteristics of the solids and the spectroscopic data, suggesting that the amine groups from the pharmaceuticals were more perturbed upon encapsulation. Copyright © 2012 Elsevier B.V. All rights reserved.

  4. Pharmacokinetic properties and drug interactions of apigenin, a natural flavone.

    Science.gov (United States)

    Tang, Ding; Chen, Keli; Huang, Luqi; Li, Juan

    2017-03-01

    Apigenin, a natural flavone, is widely distributed in plants such as celery, parsley and chamomile. It is present principally as glycosylated in nature. Higher intake of apigenin could reduce the risk of chronic diseases. It has gained particular interest in recent years as a beneficial, health-promoting agent with low intrinsic toxicity. Areas covered: This review summarizes and the absorption, distribution, metabolism and excretion (ADME) properties of apigenin, and drug-drug interaction of apigenin. Expert opinion: Since apigenin is a bioactive plant flavone and is widely distributed in common food, its consumption through the diet is recommended. Apigenin-enriched drugs are better for some chronic diseases, but may affect animal and human health if present in the daily diet. Dietary or therapeutic apigenin has value as a good cellular regulator in cancer, especially cancers of the gastrointestinal tract. Due to apigenin's limitations on absorption and bioavailability, novel carriers would need to be developed to enhance the oral bioavailability of apigenin. Further research about its ADME properties and drug-drug interactions are needed before apigenin can be brought to clinical trials.

  5. Drug interactions with solid tumour-targeted therapies.

    Science.gov (United States)

    Thomas-Schoemann, Audrey; Blanchet, Benoit; Bardin, Christophe; Noé, Gaëlle; Boudou-Rouquette, Pascaline; Vidal, Michel; Goldwasser, François

    2014-01-01

    Drug interactions are an on-going concern in the treatment of cancer, especially when targeted therapies, such as tyrosine kinase inhibitors (TKI) or mammalian target of rapamycin (mTOR) inhibitors, are being used. The emergence of elderly patients and/or patients with both cancer and other chronic co-morbidities leads to polypharmacy. Therefore, the risk of drug-drug interactions (DDI) becomes a clinically relevant issue, all the more so as TKIs and mTOR inhibitors are essentially metabolised by cytochrome P450 enzymes. These DDIs can result in variability in anticancer drug exposure, thus favouring the selection of resistant cellular clones or the occurrence of toxicity. This review provides a comprehensive overview of DDIs that involve targeted therapies approved by the FDA for the treatment of solid tumours for more than 3 years (sorafenib, sunitinib, erlotinib, gefitinib, imatinib, lapatinib, everolimus, temsirolimus) and medicinal herb or drugs. This review also provides some guidelines to help oncologists and pharmacists in their clinical practice. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  6. Electrostimulated Release of Neutral Drugs from Polythiophene Nanoparticles: Smart Regulation of Drug-Polymer Interactions.

    Science.gov (United States)

    Puiggalí-Jou, Anna; Micheletti, Paolo; Estrany, Francesc; Del Valle, Luis J; Alemán, Carlos

    2017-09-01

    Poly(3,4-ethylenedioxythiophene) (PEDOT) nanoparticles are loaded with curcumin and piperine by in situ emulsion polymerization using dodecyl benzene sulfonic acid both as a stabilizer and a doping agent. The loaded drugs affect the morphology, size, and colloidal stability of the nanoparticles. Furthermore, kinetics studies of nonstimulated drug release have evidenced that polymer···drug interactions are stronger for curcumin than for piperine. This observation suggests that drug delivery systems based on combination of the former drug with PEDOT are much appropriated to show an externally tailored release profile. This is demonstrated by comparing the release profiles obtained in presence and absence of electrical stimulus. Results indicate that controlled and time-programmed release of curcumin is achieved in a physiological medium by applying a negative voltage of -1.25 V to loaded PEDOT nanoparticles. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  7. Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents.

    Science.gov (United States)

    Segura-Bedmar, Isabel; Crespo, Mario; de Pablo-Sánchez, César; Martínez, Paloma

    2010-04-16

    Drug-drug interactions are frequently reported in the increasing amount of biomedical literature. Information Extraction (IE) techniques have been devised as a useful instrument to manage this knowledge. Nevertheless, IE at the sentence level has a limited effect because of the frequent references to previous entities in the discourse, a phenomenon known as 'anaphora'. DrugNerAR, a drug anaphora resolution system is presented to address the problem of co-referring expressions in pharmacological literature. This development is part of a larger and innovative study about automatic drug-drug interaction extraction. The system uses a set of linguistic rules drawn by Centering Theory over the analysis provided by a biomedical syntactic parser. Semantic information provided by the Unified Medical Language System (UMLS) is also integrated in order to improve the recognition and the resolution of nominal drug anaphors. Besides, a corpus has been developed in order to analyze the phenomena and evaluate the current approach. Each possible case of anaphoric expression was looked into to determine the most effective way of resolution. An F-score of 0.76 in anaphora resolution was achieved, outperforming significantly the baseline by almost 73%. This ad-hoc reference line was developed to check the results as there is no previous work on anaphora resolution in pharmacological documents. The obtained results resemble those found in related-semantic domains. The present approach shows very promising results in the challenge of accounting for anaphoric expressions in pharmacological texts. DrugNerAr obtains similar results to other approaches dealing with anaphora resolution in the biomedical domain, but, unlike these approaches, it focuses on documents reflecting drug interactions. The Centering Theory has proved being effective at the selection of antecedents in anaphora resolution. A key component in the success of this framework is the analysis provided by the MMTx program and

  8. Statin-associated rhabdomyolysis triggered by drug-drug interaction with itraconazole

    DEFF Research Database (Denmark)

    Dybro, Anne Mette; Damkier, Per; Rasmussen, Torsten Bloch

    2016-01-01

    -associated rhabdomyolysis, probably caused by a drug-drug interaction between simvastatin and itraconazole. The patient made full recovery. Three commonly used statins-simvastatin, atorvastatin and lovastatin-are metabolised by the liver enzyme CYP3A4. Several potent inhibitors of this enzyme are known, for example, azole...... antifungal agents such as itraconazole and posaconazole. If antifungal treatment is indicated in a patient using a CYP3A4-metabolised statin, we recommend (1) topical administration of the antifungal agent if possible, (2) the use of a non-CYP3A4-inhibiting antifungal drug such as terbinafine or (3...

  9. Hepatic transporter drug-drug interactions: an evaluation of approaches and methodologies.

    Science.gov (United States)

    Williamson, Beth; Riley, Robert J

    2017-12-01

    Drug-drug interactions (DDIs) continue to account for 5% of hospital admissions and therefore remain a major regulatory concern. Effective, quantitative prediction of DDIs will reduce unexpected clinical findings and encourage projects to frontload DDI investigations rather than concentrating on risk management ('manage the baggage') later in drug development. A key challenge in DDI prediction is the discrepancies between reported models. Areas covered: The current synopsis focuses on four recent influential publications on hepatic drug transporter DDIs using static models that tackle interactions with individual transporters and in combination with other drug transporters and metabolising enzymes. These models vary in their assumptions (including input parameters), transparency, reproducibility and complexity. In this review, these facets are compared and contrasted with recommendations made as to their application. Expert opinion: Over the past decade, static models have evolved from simple [I]/k i models to incorporate victim and perpetrator disposition mechanisms including the absorption rate constant, the fraction of the drug metabolised/eliminated and/or clearance concepts. Nonetheless, models that comprise additional parameters and complexity do not necessarily out-perform simpler models with fewer inputs. Further, consideration of the property space to exploit some drug target classes has also highlighted the fine balance required between frontloading and back-loading studies to design out or 'manage the baggage'.

  10. Drug-drug interactions and adverse drug reactions in polypharmacy among older adults: an integrative review.

    Science.gov (United States)

    Rodrigues, Maria Cristina Soares; Oliveira, Cesar de

    2016-09-01

    to identify and summarize studies examining both drug-drug interactions (DDI) and adverse drug reactions (ADR) in older adults polymedicated. an integrative review of studies published from January 2008 to December 2013, according to inclusion and exclusion criteria, in MEDLINE and EMBASE electronic databases were performed. forty-seven full-text studies including 14,624,492 older adults (≥ 60 years) were analyzed: 24 (51.1%) concerning ADR, 14 (29.8%) DDI, and 9 studies (19.1%) investigating both DDI and ADR. We found a variety of methodological designs. The reviewed studies reinforced that polypharmacy is a multifactorial process, and predictors and inappropriate prescribing are associated with negative health outcomes, as increasing the frequency and types of ADRs and DDIs involving different drug classes, moreover, some studies show the most successful interventions to optimize prescribing. DDI and ADR among older adults continue to be a significant issue in the worldwide. The findings from the studies included in this integrative review, added to the previous reviews, can contribute to the improvement of advanced practices in geriatric nursing, to promote the safety of older patients in polypharmacy. However, more research is needed to elucidate gaps. identificar e sintetizar estudos que examinam as interações medicamentosas (IM) e reações adversas a medicamentos (RAM) em idosos polimedicados. revisão integrativa de estudos publicados de janeiro de 2008 a dezembro de 2013, de acordo com critérios de inclusão e exclusão, nas bases de dados eletrônicas MEDLINE e EMBASE. foram analisados 47 estudos de texto completo, incluindo 14,624,492 idosos (≥ 60 anos): 24 (51,1%) sobre RAM, 14 (29,8%) sobre IM e 9 estudos (19,1%) que investigaram tanto IM como RAM. Encontramos uma variedade de desenhos metodológicos. Os estudos revisados reforçaram que a polifarmácia é um processo multifatorial, e os preditores e a prescrição inadequada estão associados a

  11. Cardiovascular pharmacotherapy and herbal medicines: the risk of drug interaction.

    Science.gov (United States)

    Izzo, Angelo A; Di Carlo, Giulia; Borrelli, Francesca; Ernst, Edzard

    2005-01-01

    Use of herbal medicines among patients under cardiovascular pharmacotherapy is widespread. In this paper, we have reviewed the literature to determine the possible interactions between herbal medicines and cardiovascular drugs. The Medline database was searched for clinical articles published between January 1996 and February 2003. Forty-three case reports and eight clinical trials were identified. Warfarin was the most common cardiovascular drug involved. It was found to interact with boldo, curbicin, fenugreek, garlic, danshen, devil's claw, don quai, ginkgo, papaya, lycium, mango, PC-SPES (resulting in over-anticoagulation) and with ginseng, green tea, soy and St. John's wort (causing decreased anticoagulant effect). Gum guar, St. John's wort, Siberian ginseng and wheat bran were found to decrease plasma digoxin concentration; aspirin interactions include spontaneous hyphema when associated with ginkgo and increased bioavailability if combined with tamarind. Decreased plasma concentration of simvastatin or lovastatin was observed after co-administration with St. John's wort and wheat bran, respectively. Other adverse events include hypertension after co-administration of ginkgo and a diuretic thiazide, hypokalemia after liquorice and antihypertensives and anticoagulation after phenprocoumon and St. John's wort. Interaction between herbal medicine and cardiovascular drugs is a potentially important safety issue. Patients taking anticoagulants are at the highest risk.

  12. Prevalence study on potential drug-drug interaction in cancer patients in Piacenza hospital's Onco-Haematology department.

    Science.gov (United States)

    Vecchia, Stefano; Orlandi, Elena; Confalonieri, Corrado; Damonti, Enrico; Riva, Alessandra; Sartori, Alessia; Cavanna, Luigi

    2017-01-01

    Background Cancer patients can be a human model of potential drug interactions. Usually they receive a large number of different medications, including antineoplastic agents, drugs for comorbid illness and medication for supportive care, however information about these interactions are fragmented and poor. Objective We assessed a prospective study to evaluate the prevalence of drug interaction among patients hospitalized in the Onco-Haematology department, Hospital of Piacenza. Methods Data on drugs administered for cancer, comorbidities, or supportive care were collected from different computerized prescription software in use in the department; we compared them with a database to focus on the co-administration of drugs. A literature review was performed to identify major potential drug interaction and to classify them by level of severity and by strengths of scientific evidence. Results In this study 284 cancer patients were enrolled; patients had taken an average of seven drugs on each day of therapy plus chemotherapeutic agents, we identified 67 potential drug interactions. At least 53 patients had one potential drug interaction. Of all potential drug interactions 63 were classified as moderate severity and only four as major. In 55 cases chemotherapeutic agents were involved in possible interactions with supportive care drugs, meanwhile in 12 cases the potential drug interactions were between supportive care drugs. Conclusions In our centre, thanks to a computerized prescription software, integrated with caution alarm in case of possible interaction, we had a lower rate of potential drug interactions than the one from literature. It is possible to improve the software integrating the alarm with the potential drug interactions between chemotherapy agents and supportive care drugs.

  13. Stress, alcohol and drug interaction: an update of human research.

    Science.gov (United States)

    Uhart, Magdalena; Wand, Gary S

    2009-01-01

    A challenging question that continues unanswered in the field of addiction is why some individuals are more vulnerable to substance use disorders than others. Numerous risk factors for alcohol and other drugs of abuse, including exposure to various forms of stress, have been identified in clinical studies. However, the neurobiological mechanisms that underlie this relationship remain unclear. Critical neurotransmitters, hormones and neurobiological sites have been recognized, which may provide the substrates that convey individual differences in vulnerability to addiction. With the advent of more sophisticated measures of brain function in humans, such as functional imaging technology, the mechanisms and neural pathways involved in the interactions between drugs of abuse, the mesocorticolimbic dopamine system and stress systems are beginning to be characterized. This review provides a neuroadaptive perspective regarding the role of the hormonal and brain stress systems in drug addiction with a focus on the changes that occur during the transition from occasional drug use to drug dependence. We also review factors that contribute to different levels of hormonal/brain stress activation, which has implications for understanding individual vulnerability to drug dependence. Ultimately, these efforts may improve our chances of designing treatment strategies that target addiction at the core of the disorder.

  14. Acid-suppressive drugs and risk of kidney disease: A systematic review and meta-analysis.

    Science.gov (United States)

    Qiu, Tingting; Zhou, Junwen; Zhang, Chao

    2018-04-12

    More concerns had been raised about the risk of kidney disease (KD) associated with acid-suppressive drugs (ASDs). But whether they could directly increase such risk remained unclear. Meta-analysis was conducted to comprehensively investigate this relationship. PubMed, EMBASE, Cochrane Central Register of Controlled Trials, and three Chinese databases were searched until April 2017 for observational studies investigating the associations between ASDs and KD. Pooled log (odds ratios, ORs) or log (hazard ratios, HRs) with standard errors for KD risk were calculated using the generic inverse variance method and random-effect model. Ten studies involving 128,020 KD patients were included. Proton pump inhibitor (PPI) therapy was associated with higher risks of acute interstitial nephritis (AIN) (OR, 2.78; 95% confidence interval (CI), 1.25-6.17), acute kidney injury (AKI) (HR, 1.85; 95% CI, 1.33-2.59), chronic kidney disease (CKD) (HR, 1.47; 95% CI, 1.03-2.09), and end-stage renal disease (ESRD) (HR, 1.61; 95% CI, 1.26-2.04) than non-PPI therapy. Additionally, PPI significantly increased the risks of AKI (HR, 1.32; 95% CI, 1.16-1.51), CKD (HR, 1.28; 95% CI, 1.24-1.33) and ESRD (HR, 1.96; 95% CI, 1.21-3.17) compared to histamine 2 receptor antagonist (H 2 RA). Relationship between H 2 RA therapy and AKI (OR, 0.98; 95% CI, 0.90-1.07) or CKD (OR, 1.00; 95% CI, 0.89-1.11) was not found. PPI therapy significantly increased the risks of AIN, AKI, CKD and ESRD. Similar risks were not identified for H 2 RA therapy. More clinical trials are needed to confirm our findings. This article is protected by copyright. All rights reserved.

  15. Synthetic lethal interaction between oncogenic KRAS dependency and STK33 suppression in human cancer cells.

    Science.gov (United States)

    Scholl, Claudia; Fröhling, Stefan; Dunn, Ian F; Schinzel, Anna C; Barbie, David A; Kim, So Young; Silver, Serena J; Tamayo, Pablo; Wadlow, Raymond C; Ramaswamy, Sridhar; Döhner, Konstanze; Bullinger, Lars; Sandy, Peter; Boehm, Jesse S; Root, David E; Jacks, Tyler; Hahn, William C; Gilliland, D Gary

    2009-05-29

    An alternative to therapeutic targeting of oncogenes is to perform "synthetic lethality" screens for genes that are essential only in the context of specific cancer-causing mutations. We used high-throughput RNA interference (RNAi) to identify synthetic lethal interactions in cancer cells harboring mutant KRAS, the most commonly mutated human oncogene. We find that cells that are dependent on mutant KRAS exhibit sensitivity to suppression of the serine/threonine kinase STK33 irrespective of tissue origin, whereas STK33 is not required by KRAS-independent cells. STK33 promotes cancer cell viability in a kinase activity-dependent manner by regulating the suppression of mitochondrial apoptosis mediated through S6K1-induced inactivation of the death agonist BAD selectively in mutant KRAS-dependent cells. These observations identify STK33 as a target for treatment of mutant KRAS-driven cancers and demonstrate the potential of RNAi screens for discovering functional dependencies created by oncogenic mutations that may enable therapeutic intervention for cancers with "undruggable" genetic alterations.

  16. The cooperative interaction between vitamin E and vitamin C in suppression of peroxidation of membrane phospholipids

    Energy Technology Data Exchange (ETDEWEB)

    Leung, H.W.; Vang, M.J.; Mavis, R.D.

    1981-01-01

    The time course of peroxidation of rat liver microsomes by FeSO/sub 4/ in the presence of ascorbate showed a delay in the onset of peroxidation compared to the time course when NADPH replaced ascorbate as the electron donor. The delay was consistent with an antioxidant function of ascorbate, possibly mediated through endogenous vitamin E. In order to further investigate the cooperation between ascorbate and vitamin E in suppressing lipid peroxidation, a liposomal system containing polyunsaturated phospholipids was used. Peroxidation was initated by ferrous iron at pH 5, where spontaneous oxidation of Fe/sup 2 +/ did not occur and the antioxidant properties of ascorbic acid could be characterized independently of its pro-oxidant properties as a reducer of Fe/sup 3 +/. Ascorbic acid alone at concentrations of 30-100 ..mu..M delayed peroxidation by 20 min and at higher concentrations prevented peroxidation for 60 min. Physiological levels of vitamin E decreased peroxidation at early time points but the vitamin was apparently consumed during the course of the incubation. The presence of both vitamin C and vitamin E produced suppression of peroxidation at early time points (0-20 min) which was approximately the sum of the individual inhibitions. At longer time points, however, the mixture of antioxidants was much more effective than the sum of both vitamins alone. This suggests that interaction between these antioxidants yields an enhanced delivery of antioxidant protection.

  17. Prediction of Effective Drug Combinations by Chemical Interaction, Protein Interaction and Target Enrichment of KEGG Pathways

    Directory of Open Access Journals (Sweden)

    Lei Chen

    2013-01-01

    Full Text Available Drug combinatorial therapy could be more effective in treating some complex diseases than single agents due to better efficacy and reduced side effects. Although some drug combinations are being used, their underlying molecular mechanisms are still poorly understood. Therefore, it is of great interest to deduce a novel drug combination by their molecular mechanisms in a robust and rigorous way. This paper attempts to predict effective drug combinations by a combined consideration of: (1 chemical interaction between drugs, (2 protein interactions between drugs’ targets, and (3 target enrichment of KEGG pathways. A benchmark dataset was constructed, consisting of 121 confirmed effective combinations and 605 random combinations. Each drug combination was represented by 465 features derived from the aforementioned three properties. Some feature selection techniques, including Minimum Redundancy Maximum Relevance and Incremental Feature Selection, were adopted to extract the key features. Random forest model was built with its performance evaluated by 5-fold cross-validation. As a result, 55 key features providing the best prediction result were selected. These important features may help to gain insights into the mechanisms of drug combinations, and the proposed prediction model could become a useful tool for screening possible drug combinations.

  18. Interactions between crude drug extracts used in Japanese traditional Kampo medicines and organic anion-transporting polypeptide 2B1.

    Science.gov (United States)

    Iijima, Rie; Watanabe, Tomoki; Ishiuchi, Kan'ichiro; Matsumoto, Takashi; Watanabe, Junko; Makino, Toshiaki

    2018-03-25

    The use of herbal medicines has become popular worldwide, and the information on drug interactions between herbal medicines and chemical drugs is needed. We screened the inhibitory effects of crude drugs used in Kampo medicines used in Japan on organic anion-transporting polypeptide (OATP) 2B1 to predict potential interactions between Kampo medicines and chemical drugs used together. We chose 98 kinds of crude drugs frequently used as ingredients of Kampo formulations in Japan and prepared their boiling water extracts. We then screened their inhibitory effects on OATP2B1 by measuring the uptake of estrone 3-sulphate (E3S) by HEK293 cells stably expressing OATP2B1. At the concentration of 100µg/ml, the extracts prepared from 12 kinds of crude drugs, Scuteralliae Radix, Arecae Semen, Aurantii Fructus Immaturus, Perillae Herba, Panacis Japonici Rhizoma, Moutan Cortex, Polygalae Radix, Rhei Rhizoma, Cannabis Fructus, Chrysanthemi Flos, Eriobotryae Folium, and Querci Cortex, suppressed the function of OATP2B1 by less than 20%. The extract of bofutsushosan, a representative Kampo formulation, inhibited OATP2B1 function with sufficient levels to suppress absorption of OATP2B1 substrates in clinics. We further evaluated the inhibitory effects of several ingredients containing Rhei Rhizoma, Perillae Herba, and Moutan Cortex on OATP2B1. Because of crude drugs used in Kampo medicines might suppress absorption of OATP2B1 substrates, these results may contribute to the safe and effective use of Kampo medicine in clinics. A list of abbreviations: EC, (-)-epicatechin; ECG, epicatechin gallate; EGC, epigallocatechin; EGCG, Epigallocatechin gallate; FBS, fetal bovine serum; grapefruit juice; HEK293, Human embryonic kidney; IC 50, The half inhibitory concentration; OATP, organic anion-transporting polypeptide; β-PGG, penta-O-galloyl-β-D-glucose; t.i.d, 3 times a day. Copyright © 2017 Elsevier B.V. All rights reserved.

  19. Consensus Recommendations for Systematic Evaluation of Drug-Drug Interaction Evidence for Clinical Decision Support

    Science.gov (United States)

    Scheife, Richard T.; Hines, Lisa E.; Boyce, Richard D.; Chung, Sophie P.; Momper, Jeremiah; Sommer, Christine D.; Abernethy, Darrell R.; Horn, John; Sklar, Stephen J.; Wong, Samantha K.; Jones, Gretchen; Brown, Mary; Grizzle, Amy J.; Comes, Susan; Wilkins, Tricia Lee; Borst, Clarissa; Wittie, Michael A.; Rich, Alissa; Malone, Daniel C.

    2015-01-01

    Background Healthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations. Objective To provide recommendations for systematic evaluation of evidence from the scientific literature, drug product labeling, and regulatory documents with respect to DDIs for clinical decision support. Methods A conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 15 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations. Results We developed expert-consensus answers to three key questions: 1) What is the best approach to evaluate DDI evidence?; 2) What evidence is required for a DDI to be applicable to an entire class of drugs?; and 3) How should a structured evaluation process be vetted and validated? Conclusion Evidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug information systems that implement these recommendations should be able to provide higher quality information about DDIs in drug compendia and clinical decision support tools. PMID:25556085

  20. Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

    Science.gov (United States)

    Jiang, Jing; Lu, Weiqiang; Li, Weihua; Liu, Guixia; Zhou, Weixing; Huang, Jin; Tang, Yun

    2012-01-01

    Drug-target interaction (DTI) is the basis of drug discovery and design. It is time consuming and costly to determine DTI experimentally. Hence, it is necessary to develop computational methods for the prediction of potential DTI. Based on complex network theory, three supervised inference methods were developed here to predict DTI and used for drug repositioning, namely drug-based similarity inference (DBSI), target-based similarity inference (TBSI) and network-based inference (NBI). Among them, NBI performed best on four benchmark data sets. Then a drug-target network was created with NBI based on 12,483 FDA-approved and experimental drug-target binary links, and some new DTIs were further predicted. In vitro assays confirmed that five old drugs, namely montelukast, diclofenac, simvastatin, ketoconazole, and itraconazole, showed polypharmacological features on estrogen receptors or dipeptidyl peptidase-IV with half maximal inhibitory or effective concentration ranged from 0.2 to 10 µM. Moreover, simvastatin and ketoconazole showed potent antiproliferative activities on human MDA-MB-231 breast cancer cell line in MTT assays. The results indicated that these methods could be powerful tools in prediction of DTIs and drug repositioning. PMID:22589709

  1. Interaction of Drug or Food with Drug Transporters in Intestine and Liver.

    Science.gov (United States)

    Nakanishi, Takeo; Tamai, Ikumi

    2015-01-01

    Oral bioavailability (F) is determined as fraction of the drug dose absorbed through the gastrointestinal membranes (Fa), the unmetabolized fraction of the absorbed dose that passes through the gut into the portal blood (Fg), and the hepatic first pass availability (Fh), namely F is expressed as the product of Fa, Fg and Fh (F = Fa.Fg.Fh). Current evidence suggests that transporter proteins play a role in intestinal absorption and hepatobiliary clearance of drugs. Among those transporters, this review will focus on PEPT1 and OATP2B1 as influx transporter and p-glycoprotein (P-gp) and BCRP as efflux transporter in intestinal epithelial cells, and on OATP1B1 and 1B3 as influx transporter and MRP2 as efflux transporter in hepatocytes, respectively, because drug-drug (DDI) and -food (DFI) interactions on these transporter are considered to affect bioavailability of their substrate drugs. DDI and DFI may reduce systemic exposure to drug by blocking influx transporters in intestine, but increase it by modulating influx and efflux transporters in liver and efflux transporters in intestines. Namely, drug disposition and efficacy are likely affected by DDI and DFI, resulting in treatment failures or increase in adverse effect. Therefore, it is of significantly importance to understand precise mechanism of DDI and DFI. This review will present information about transporter-based DDI and DFI in the processes of intestinal absorption and hepatic clearance of drugs, and discuss about their clinical implication.

  2. Significance and suppression of redundant IL17 responses in acute allograft rejection by bioinformatics based drug repositioning of fenofibrate.

    Directory of Open Access Journals (Sweden)

    Silke Roedder

    Full Text Available Despite advanced immunosuppression, redundancy in the molecular diversity of acute rejection (AR often results in incomplete resolution of the injury response. We present a bioinformatics based approach for identification of these redundant molecular pathways in AR and a drug repositioning approach to suppress these using FDA approved drugs currently available for non-transplant indications. Two independent microarray data-sets from human renal allograft biopsies (n = 101 from patients on majorly Th1/IFN-y immune response targeted immunosuppression, with and without AR, were profiled. Using gene-set analysis across 3305 biological pathways, significant enrichment was found for the IL17 pathway in AR in both data-sets. Recent evidence suggests IL17 pathway as an important escape mechanism when Th1/IFN-y mediated responses are suppressed. As current immunosuppressions do not specifically target the IL17 axis, 7200 molecular compounds were interrogated for FDA approved drugs with specific inhibition of this axis. A combined IL17/IFN-y suppressive role was predicted for the antilipidemic drug Fenofibrate. To assess the immunregulatory action of Fenofibrate, we conducted in-vitro treatment of anti-CD3/CD28 stimulated human peripheral blood cells (PBMC, and, as predicted, Fenofibrate reduced IL17 and IFN-γ gene expression in stimulated PMBC. In-vivo Fenofibrate treatment of an experimental rodent model of cardiac AR reduced infiltration of total leukocytes, reduced expression of IL17/IFN-y and their pathway related genes in allografts and recipients' spleens, and extended graft survival by 21 days (p<0.007. In conclusion, this study provides important proof of concept that meta-analyses of genomic data and drug databases can provide new insights into the redundancy of the rejection response and presents an economic methodology to reposition FDA approved drugs in organ transplantation.

  3. Data-driven prediction of adverse drug reactions induced by drug drug interactions

    Science.gov (United States)

    2017-06-08

    DDI(Φ,didj) must be higher than 0 for a synergis- tic DDI-induced ADR. The higher the DDI score, the more severe is its effect. Data for drug-protein...pairs; and vestibular disorder (C0042594), 1,022 drug pairs. Figure 4 shows the model performance results, with bar heights representing mean AUC...Unified Medical Language System code C0035439), heat stroke (C0018843), spontaneous abortion (C0000786), and vestibular disorder (C0042594). These ADRs

  4. Idiosyncratic Drug-Induced Liver Injury: Is Drug-Cytokine Interaction the Linchpin?

    Science.gov (United States)

    Roth, Robert A; Maiuri, Ashley R; Ganey, Patricia E

    2017-02-01

    Idiosyncratic drug-induced liver injury continues to be a human health problem in part because drugs that cause these reactions are not identified in current preclinical testing and because progress in prevention is hampered by incomplete knowledge of mechanisms that underlie these adverse responses. Several hypotheses involving adaptive immune responses, inflammatory stress, inability to adapt to stress, and multiple, concurrent factors have been proposed. Yet much remains unknown about how drugs interact with the liver to effect death of hepatocytes. Evidence supporting hypotheses implicating adaptive or innate immune responses in afflicted patients has begun to emerge and is bolstered by results obtained in experimental animal models and in vitro systems. A commonality in adaptive and innate immunity is the production of cytokines, including interferon-γ (IFNγ). IFNγ initiates cell signaling pathways that culminate in cell death or inhibition of proliferative repair. Tumor necrosis factor-α, another cytokine prominent in immune responses, can also promote cell death. Furthermore, tumor necrosis factor-α interacts with IFNγ, leading to enhanced cellular responses to each cytokine. In this short review, we propose that the interaction of drugs with these cytokines contributes to idiosyncratic drug-induced liver injury, and mechanisms by which this could occur are discussed. Copyright © 2017 by The American Society for Pharmacology and Experimental Therapeutics.

  5. Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research

    Science.gov (United States)

    Zhang, Pengyue; Wu, Heng‐Yi; Chiang, Chien‐Wei; Wang, Lei; Binkheder, Samar; Wang, Xueying; Zeng, Donglin; Quinney, Sara K.

    2018-01-01

    Drug interaction is a leading cause of adverse drug events and a major obstacle for current clinical practice. Pharmacovigilance data mining, pharmacokinetic modeling, and text mining are computation and informatic tools on integrating drug interaction knowledge and generating drug interaction hypothesis. We provide a comprehensive overview of these translational biomedical informatics methodologies with related databases. We hope this review illustrates the complementary nature of these informatic approaches and facilitates the translational drug interaction research. PMID:29193890

  6. Elevated Temperature and Drought Interact to Reduce Parasitoid Effectiveness in Suppressing Hosts

    Science.gov (United States)

    Romo, Cecilia M.; Tylianakis, Jason M.

    2013-01-01

    Climate change affects the abundance, distribution and activity of natural enemies that are important for suppressing herbivore crop pests. Moreover, higher mean temperatures and increased frequency of climatic extremes are expected to induce different responses across trophic levels, potentially disrupting predator-prey interactions. Using field observations, we examined the response of an aphid host-parasitoid system to variation in temperature. Temperature was positively associated with attack rates by parasitoids, but also with a non-significant trend towards increased attack rates by higher-level hyperparasitoids. Elevated hyperparasitism could partly offset any benefit of climate warming to parasitoids, and would suggest that higher trophic levels may hamper predictions of predator-prey interactions. Additionally, the mechanisms affecting host-parasitoid dynamics were examined using controlled laboratory experiments that simulated both temperature increase and drought. Parasitoid fitness and longevity responded differently when exposed to each climatic variable in isolation, compared to the interaction of both variables at once. Although temperature increase or drought tended to positively affect the ability of parasitoids to control aphid populations, these effects were significantly reversed when the drivers were expressed in concert. Additionally, separate warming and drought treatments reduced parasitoid longevity, and although temperature increased parasitoid emergence success and drought increased offspring production, combined temperature and drought produced the lowest parasitoid emergence. The non-additive effects of different climate drivers, combined with differing responses across trophic levels, suggest that predicting future pest outbreaks will be more challenging than previously imagined. PMID:23472147

  7. Elevated temperature and drought interact to reduce parasitoid effectiveness in suppressing hosts.

    Directory of Open Access Journals (Sweden)

    Cecilia M Romo

    Full Text Available Climate change affects the abundance, distribution and activity of natural enemies that are important for suppressing herbivore crop pests. Moreover, higher mean temperatures and increased frequency of climatic extremes are expected to induce different responses across trophic levels, potentially disrupting predator-prey interactions. Using field observations, we examined the response of an aphid host-parasitoid system to variation in temperature. Temperature was positively associated with attack rates by parasitoids, but also with a non-significant trend towards increased attack rates by higher-level hyperparasitoids. Elevated hyperparasitism could partly offset any benefit of climate warming to parasitoids, and would suggest that higher trophic levels may hamper predictions of predator-prey interactions. Additionally, the mechanisms affecting host-parasitoid dynamics were examined using controlled laboratory experiments that simulated both temperature increase and drought. Parasitoid fitness and longevity responded differently when exposed to each climatic variable in isolation, compared to the interaction of both variables at once. Although temperature increase or drought tended to positively affect the ability of parasitoids to control aphid populations, these effects were significantly reversed when the drivers were expressed in concert. Additionally, separate warming and drought treatments reduced parasitoid longevity, and although temperature increased parasitoid emergence success and drought increased offspring production, combined temperature and drought produced the lowest parasitoid emergence. The non-additive effects of different climate drivers, combined with differing responses across trophic levels, suggest that predicting future pest outbreaks will be more challenging than previously imagined.

  8. Metabolic drug interactions - the impact of prescribed drug regimens on the medication safety.

    NARCIS (Netherlands)

    Fialova, D.; Vrbensky, K.; Topinkova, E.; Vlcek, J.; Soerbye, L.W.; Wagner, C.; Bernabei, R.

    2005-01-01

    Background and objective: Risk/benefit profile of prescribed drug regimens is unkown. Over 60% of commonly used medications interact on metabolic pathways (cytochrom P450 (CYP450), uridyl-glucuronyl tranferasis (UGT I, II) and P-glycoprotein (PGP) transport). Using an up-to-date knowledge on

  9. Risk of Clinically Relevant Pharmacokinetic-based Drug-drug Interactions with Drugs Approved by the U.S. Food and Drug Administration Between 2013 and 2016.

    Science.gov (United States)

    Yu, Jingjing; Zhou, Zhu; Tay-Sontheimer, Jessica; Levy, Rene H; Ragueneau-Majlessi, Isabelle

    2018-03-23

    A total of 103 drugs (including 14 combination drugs) were approved by the U.S. Food and Drug Administration from 2013 to 2016. Pharmacokinetic-based drug interaction profiles were analyzed using the University of Washington Drug Interaction Database and the clinical relevance of these observations was characterized based on information from New Drug Application reviews. CYP3A was identified as a major contributor to clinical drug-drug interactions (DDIs), involved in approximately 2/3 of all interactions. Transporters (alone or with enzymes) were found to participate in about half of all interactions, although most of these were weak-to-moderate interactions. When considered as victims, eight new molecular entities (NMEs; cobimetinib, ibrutnib, isavuconazole, ivabradine, naloxegol, paritaprevir, simeprevir, and venetoclax) were identified as sensitive substrates of CYP3A, two NMEs (pirfenidone and tasimelteon) were sensitive substrates of CYP1A2, one NME (dasabuvir) was a sensitive substrate of CYP2C8, one NME (eliglustat) was a sensitive substrate of CYP2D6, and one NME (grazoprevir) was a sensitive substrate of OATP1B1/3 (with changes in exposure greater than 5-fold when co-administered with a strong inhibitor). Interestingly, approximately 75% of identified CYP3A substrates were also substrates of P-gp. As perpetrators, most clinical DDIs involved weak-to-moderate inhibition or induction, with only two drugs (Viekira Pak and idelalisib) showing strong inhibition of CYP3A, and one NME (lumacaftor) considered as a strong CYP3A inducer. Among drugs with large changes in exposure (≥ 5-fold), whether as victim or perpetrator, the most represented therapeutic classes were antivirals and oncology drugs, suggesting a significant risk of clinical DDIs in these patient populations. The American Society for Pharmacology and Experimental Therapeutics.

  10. Prediction of Human Drug Targets and Their Interactions Using Machine Learning Methods: Current and Future Perspectives.

    Science.gov (United States)

    Nath, Abhigyan; Kumari, Priyanka; Chaube, Radha

    2018-01-01

    Identification of drug targets and drug target interactions are important steps in the drug-discovery pipeline. Successful computational prediction methods can reduce the cost and time demanded by the experimental methods. Knowledge of putative drug targets and their interactions can be very useful for drug repurposing. Supervised machine learning methods have been very useful in drug target prediction and in prediction of drug target interactions. Here, we describe the details for developing prediction models using supervised learning techniques for human drug target prediction and their interactions.

  11. EXPLORING THE PATTERN OF POLYPHARMACY AND PROPORTION OF DRUG TO DRUG INTERACTIONS AND ADVERSE DRUG REACTIONS IN THE ELDERLY

    Directory of Open Access Journals (Sweden)

    Vijayashree Thyagaraj

    2017-07-01

    Full Text Available BACKGROUND The geriatric population is increasing as a result of advanced medical facilities. This population also faces a number of medical health challenges. They tend to receive multiple medications often leading to Drug-Drug Interactions (DDIs Adverse Drug Reactions (ADRs and other clinical consequences, which compromises their quality of life if not endangering it as well. There are few Indian studies focusing on this problem. Hence, this study was undertaken with the aim to assess the polypharmacy pattern, proportion of DDIs and adverse drug reactions in the geriatric population in a tertiary care hospital. MATERIALS AND METHODS This was a cross-sectional study wherein data from 201 geriatric inpatient’s prescriptions were collected. The prescriptions were assessed for demographic details such as age, gender, comorbidities and drugs prescribed. All prescriptions were evaluated for polypharmacy, DDIs and ADRs. DDIs were assessed using Micromedex software. Patients were stratified into groups and DDIs were compared between the groups, gender and also with number of drugs used. RESULTS There were 201 patients with a mean age of approximately 70 years. Polypharmacy occurred in 73.63% of them with mean number of drugs being 6.23. The number of drugs used increased significantly with age (p=0.0001. Hypertension was the most common comorbidity. Polypharmacy was strongly associated with hypertension and dyslipidaemia. A total of 129 (64.17% patients accounted for 425 potential DDIs. The most common drug involved in DDIs was aspirin. A subset analysis of ADRs showed an occurrence of 50.68% with 10.81% being definitely avoidable. CONCLUSION Elderly individuals are at increased risk of being on polypharmacy. This comes with the risk of several potential DDIs, which in turn may lead to adverse drug reactions, which results in morbidity. Doctors involved in the care of the elderly should be aware of these facts and exercise caution while adding any

  12. Disease susceptibiliy in the zig-zag model of host-microbe Interactions: only a consequence of immune suppression?

    OpenAIRE

    Keller, Harald; Boyer, Laurent; Abad, Pierre

    2016-01-01

    For almost ten years, the Zig-Zag model has provided a convenient framework for explaining the molecular bases of compatibility and incompatibility in plant-microbe interactions (Jones and Dangl, 2006). According to the Zig-Zag model, disease susceptibility is a consequence of the suppression of host immunity during the evolutionary arms race between plants and pathogens. The Zig-Zag model thus fits well with biotrophic interactions, but is less applicable to interactions involving pathogens ...

  13. Suppression of Nonlinear Interactions in Resonant Macroscopic Quantum Devices : the Example of the Solid-State Ring Laser Gyroscope

    OpenAIRE

    Schwartz, Sylvain; Gutty, François; Feugnet, Gilles; Bouyer, Philippe; Pocholle, Jean-Paul

    2008-01-01

    International audience; We study the suppression of nonlinear interactions in resonant macroscopic quantum devices in the case of the solid-state ring laser gyroscope. These nonlinear interactions are tuned by vibrating the gain medium along the cavity axis. Beat note occurrence under rotation provides a precise measurement of the strength of nonlinear interactions, which turn out to vanish for some discrete values of the amplitude of vibration. Our theoretical description, in very good agree...

  14. Potential Drug-Drug Interactions Among Critically Ill Pediatric Patients in a Tertiary Pulmonary Center.

    Science.gov (United States)

    Hassanzad, Maryam; Arenas-Lopez, Sara; Baniasadi, Shadi

    2018-02-01

    Patients in the pediatric intensive care unit (PICU) are at increased risk of potential drug-drug interactions (pDDIs) because of the complexity of pharmacotherapy. The current study aimed to assess the rate, pattern, risk factors, and management of pDDIs in the PICU of an academic pulmonary hospital. A prospective observational study was conducted for 6 months. Pharmacotherapy data of PICU-admitted patients were evaluated by a clinical pharmacologist. Interacting drugs, reliability, mechanism, potential outcome, and clinical management of pDDIs were identified using the Lexi-Interact database. Logistic regression was applied to analyze the risk factors that could be associated with the interactions. One hundred and twenty-three medication profiles were evaluated during the study period. Diseases of the respiratory system were the main diagnoses among intensive care unit (ICU)-admitted patients (56.1%). A total of 38.6% of the patients exposed to at least 1 major and/or contraindicated interaction during ICU admission. Most pDDIs occurred through metabolic (35.4%) and additive (34.8%) mechanisms. The existence of pDDIs was significantly associated with the number of prescribed medications. Exposure to pDDIs is frequent in critically ill pediatric patients and related to the number of medications. Daily and close cooperation between clinicians and clinical pharmacologists is recommended to prevent harmful outcomes of DDIs. © 2017, The American College of Clinical Pharmacology.

  15. A facile drug delivery system preparation through the interaction between drug and iron ion of transferrin

    International Nuclear Information System (INIS)

    Zhou, Lin; Liu, Jihua; Wei, Shaohua; Ge, Xuefeng; Zhou, Jiahong; Yu, Boyang; Shen, Jian

    2013-01-01

    Many anticancer drugs have the capability to form stable complex with metal ions. Based on such property, a simple method to combine these drugs with transferrin, through the interaction between drug and Fe ion of transferrin, to improve their anticancer activity, is proposed. To demonstrate this technique, the complex of photosensitive anticancer drug hypocrellin A and transferrin was prepared by such facile method. The results indicated that the complex of hypocrellin A and transferrin can stabilize in aqueous solution. In vitro studies have demonstrated the superior cancer cell uptake ability of hypocrellin A–transferrin complex to the free hypocrellin A. Significant damage to such drug-impregnated tumor cells was observed upon irradiation and the cancer cells killing ability of hypocrellin A–transferrin was stronger than the free hypocrellin A within a certain range of concentrations. The above results demonstrated the validity and potential of our proposed strategy to prepare the drug delivery system of this type of anti-cancer drugs and transferrin

  16. A facile drug delivery system preparation through the interaction between drug and iron ion of transferrin

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Lin [Nanjing Normal University, Jiangsu Key Laboratory Biofunctional Materials, Key Laboratory of Applied Photochemistry, Analysis and Testing Center, College of Chemistry and Materials Science (China); Liu, Jihua [China Pharmaceutical University, Department of Complex Prescription of TCM (China); Wei, Shaohua; Ge, Xuefeng; Zhou, Jiahong, E-mail: zhoujiahong@njnu.edu.cn [Nanjing Normal University, Jiangsu Key Laboratory Biofunctional Materials, Key Laboratory of Applied Photochemistry, Analysis and Testing Center, College of Chemistry and Materials Science (China); Yu, Boyang, E-mail: boyangyu59@163.com [China Pharmaceutical University, Department of Complex Prescription of TCM (China); Shen, Jian [Nanjing Normal University, Jiangsu Key Laboratory Biofunctional Materials, Key Laboratory of Applied Photochemistry, Analysis and Testing Center, College of Chemistry and Materials Science (China)

    2013-09-15

    Many anticancer drugs have the capability to form stable complex with metal ions. Based on such property, a simple method to combine these drugs with transferrin, through the interaction between drug and Fe ion of transferrin, to improve their anticancer activity, is proposed. To demonstrate this technique, the complex of photosensitive anticancer drug hypocrellin A and transferrin was prepared by such facile method. The results indicated that the complex of hypocrellin A and transferrin can stabilize in aqueous solution. In vitro studies have demonstrated the superior cancer cell uptake ability of hypocrellin A-transferrin complex to the free hypocrellin A. Significant damage to such drug-impregnated tumor cells was observed upon irradiation and the cancer cells killing ability of hypocrellin A-transferrin was stronger than the free hypocrellin A within a certain range of concentrations. The above results demonstrated the validity and potential of our proposed strategy to prepare the drug delivery system of this type of anti-cancer drugs and transferrin.

  17. Guidance for nuclear medicine staff on radiopharmaceuticals drug interaction

    Directory of Open Access Journals (Sweden)

    Ralph Santos-Oliveira

    2009-12-01

    Full Text Available Numerous drug interactions related to radiopharmaceuticals take place every day in hospitals many of which are not reported or detected. Information concerning this kind of reaction is not abundant, and nuclear medicine staff are usually overwhelmed by this information. To better understand this type of reaction, and to help nuclear medicine staff deal with it, a review of the literature was conducted. The results show that almost all of radiopharmaceuticals marketed around the world present drug interactions with a large variety of compounds. This suggests that a logical framework to make decisions based on reviews incorporating adverse reactions must be created. The review also showed that researchers undertaking a review of literature, or even a systematic review that incorporates drug interactions, must understand the rationale for the suggested methods and be able to implement them in their review. Additionally, a global effort should be made to report as many cases of drug interaction with radiopharmaceuticals as possible. With this, a complete picture of drug interactions with radiopharmaceuticals can be drawn.Diversos casos de interações medicamentosas com radiofármacos ocorrem diariamente na rotina hospitalar, contudo muitos deles não são notificados ou mesmo percebidos. Informações a respeito desse tipo de reação não é abundante e os profissionais da medicina nuclear muitas vezes estão assoberbados por essas informações. De modo a entender esse tipo de reação e auxiliar a medicina nuclear a lidar com essa situação uma revisão da literatura foi realizada. Os resultados mostraram que a totalidade dos radiofármacos comercializados no mundo apresentam interação medicamentosa com uma enorme variedade de outros medicamentos. Dessa forma sugere-se que revisões sobre radiofármacos inclua um capítulo sobre efeitos adversos. Além disso, um esforço mundial para notificar efeitos adversos deve ser realizado, pois somente

  18. The role of organic anion transporting polypeptides in drug absorption, distribution, excretion and drug-drug interactions.

    Science.gov (United States)

    Kovacsics, Daniella; Patik, Izabel; Özvegy-Laczka, Csilla

    2017-04-01

    The in vivo fate and effectiveness of a drug depends highly on its absorption, distribution, metabolism, excretion and toxicity (ADME-Tox). Organic anion transporting polypeptides (OATPs) are membrane proteins involved in the cellular uptake of various organic compounds, including clinically used drugs. Since OATPs are significant players in drug absorption and distribution, modulation of OATP function via pharmacotherapy with OATP substrates/inhibitors, or modulation of their expression, affects drug pharmacokinetics. Given their cancer-specific expression, OATPs may also be considered anticancer drug targets. Areas covered: We describe the human OATP family, discussing clinically relevant consequences of altered OATP function. We offer a critical analysis of published data on the role of OATPs in ADME and in drug-drug interactions, especially focusing on OATP1A2, 1B1, 1B3 and 2B1. Expert opinion: Four members of the OATP family, 1A2, 1B1, 1B3 and 2B1, have been characterized in detail. As biochemical and pharmacological knowledge on the other OATPs is lacking, it seems timely to direct research efforts towards developing the experimental framework needed to investigate the transport mechanism and substrate specificity of the poorly described OATPs. In addition, elucidating the role of OATPs in tumor development and therapy response are critical avenues for further research.

  19. Arabidopsis cryptochrome 1 interacts with SPA1 to suppress COP1 activity in response to blue light

    Science.gov (United States)

    Liu, Bin; Zuo, Zecheng; Liu, Hongtao; Liu, Xuanming; Lin, Chentao

    2011-01-01

    Plant photoreceptors mediate light suppression of the E3 ubiquitin ligase COP1 (CONSTITUTIVE PHOTOMORPHOGENIC 1) to affect gene expression and photomorphogenesis. However, how photoreceptors mediate light regulation of COP1 activity remains unknown. We report here that Arabidopsis blue-light receptor cryptochrome 1 (CRY1) undergoes blue-light-dependent interaction with the COP1-interacting protein SPA1 (SUPPRESSOR OF PHYTOCHROME A). We further show that the CRY1–SPA1 interaction suppresses the SPA1–COP1 interaction and COP1-dependent degradation of the transcription factor HY5. These results are consistent with a hypothesis that photoexcited CRY1 interacts with SPA1 to modulate COP1 activity and plant development. PMID:21511871

  20. Drug-transporter mediated interactions between anthelminthic and antiretroviral drugs across the Caco-2 cell monolayers.

    Science.gov (United States)

    Kigen, Gabriel; Edwards, Geoffrey

    2017-05-04

    Drug interactions between antiretroviral drugs (ARVs) and anthelminthic drugs, ivermectin (IVM) and praziquantel (PZQ) were assessed by investigating their permeation through the Caco-2 cell monolayers in a transwell. The impact of anthelminthics on the transport of ARVs was determined by assessing the apical to basolateral (AP → BL) [passive] and basolateral to apical (BL → AP) [efflux] directions alone, and in presence of an anthelminthic. The reverse was conducted for the assessment of the influence of ARVs on anthelminthics. Samples from the AP and BL compartments were taken at 60, 120, 180 and 240 min and quantified either by HPLC or radiolabeled assay using a liquid scintillating counter for the respective drugs. Transepithelial resistance (TEER) was used to assess the integrity of the monolayers. The amount of compound transported per second (apparent permeability, Papp) was calculated for both AP to BL (Papp AtoB ), and BL to AP (Papp BtoA ) movements. Samples collected after 60 min were used to determine the efflux ratio (ER), quotient of secretory permeability and absorptive permeability (PappBL-AP/PappAP-BL). The reverse, (PappAP-BL/PappBL-AP) constituted the uptake ratio. The impact of SQV, EFV and NVP on the transport of both IVM and PZQ were investigated. The effect of LPV on the transport of IVM was also determined. The influence of IVM on the transport of SQV, NVP, LPV and EFV; as well as the effect PZQ on the transport of SQV of was also investigated, and a two-tailed p value of <0.05 was considered significant. IVM significantly inhibited the efflux transport (BL → AP movement) of LPV (ER; 6.7 vs. 0.8, p = 0.0038) and SQV (ER; 3.1 vs. 1.2 p = 0.00328); and increased the efflux transport of EFV (ER; 0.7 vs. 0.9, p = 0.031) suggesting the possibility of drug transporter mediated interactions between the two drugs. NVP increased the efflux transport of IVM (ER; 0.8 vs. 1.8, p = 0.0094). The study provides in vitro

  1. Possible drug-drug interaction between pregabalin and clozapine in patients with schizophrenia

    DEFF Research Database (Denmark)

    Schjerning, O; Lykkegaard, S; Damkier, P

    2015-01-01

    INTRODUCTION: Pregabalin is an antiepileptic drug with anti-anxiety properties and is approved for treatment of generalized anxiety disorder. Anxiety is common in patients with schizophrenia and pregabalin has been suggested as an off-label add-on treatment. METHODS: Pregabalin was added to cloza......INTRODUCTION: Pregabalin is an antiepileptic drug with anti-anxiety properties and is approved for treatment of generalized anxiety disorder. Anxiety is common in patients with schizophrenia and pregabalin has been suggested as an off-label add-on treatment. METHODS: Pregabalin was added...... patient was less clear. DISCUSSION: This short report discusses the possible mechanism of a pregabalin-clozapine interaction....

  2. The Utility of a Population Approach in Drug-Drug Interaction Assessments: A Simulation Evaluation.

    Science.gov (United States)

    Wang, Diane D; Yu, Yanke; Kassir, Nastya; Zhu, Min; Hanley, William D; Earp, Justin C; Chow, Andrew T; Gupta, Manish; Hu, Chuanpu

    2017-10-01

    This study aims at evaluating the utility of the population pharmacokinetics approach in therapeutic protein drug-drug-interaction (DDI) assessment. Simulations were conducted for 2 representative victim drugs, methotrexate and trastuzumab, using a parallel-group design with and without the interaction drug. The effect of a perpetrator on the exposure of the victim drug is described as the ratio of clearance/apparent clearance of the victim drug given with or without the perpetrator. The power of DDI assessment was calculated as the percentage of runs with 90% confidence interval of the estimated DDI effect within 80% to 125% for the scenarios of no DDI, benchmarked with the noncompartmental approach with intensive sampling. The impact of the number of subjects, the number of sampling points per subject, sampling time error, and model misspecification on the power of DDI determination were evaluated. Results showed that with equal numbers of subjects in each arm, the population pharmacokinetics approach with sparse sampling may need about the same or a higher number of subjects compared to a noncompartmental approach in order to achieve similar power. Increasing the number of subjects, even if only in the study drug alone arm, can increase the power. Sampling or dosing time error had notable impacts on the power for methotrexate but not for trastuzumab. Model misspecification had no notable impacts on the power for trastuzumab. Overall, the population pharmacokinetics approach with sparse sampling built in phase 2/3 studies allows appropriate DDI assessment with adequate study design and analysis and can be considered as an alternative to dedicated DDI studies. © 2017, The American College of Clinical Pharmacology.

  3. [Drug interactions of phenylbutazone and phenprocoumon in a warmblood gelding].

    Science.gov (United States)

    Cohausz, O; Müntener, C R; Trachsel, D; Wimmershoff, J; Eser, M Wehrli

    2008-07-01

    A 15 year old Oldenburger gelding was treated during 3 weeks for laminitis with the anticoagulant phenprocoumone (27 mg orally, once daily) and concurrent administration of phenylbutazone (2-4 g orally, twice daily). After this treatment the animal was presented to the Equine Clinic University of Zurich with a history of acute colic and advanced symptoms of shock. On the basis of the clinical signs and laboratory values, a diagnosis of combined drug induced coagulopathy was made. The horse was treated with the antidote Vitamine-K1 (0.5 mg/kg, subcutaneously). Eventually, the general condition of the animal worsened and it was therefore euthanized. Necropsy revealed profound, multifocal hemorrhagic diathesis of the serosal surface of the viscera, as well as bleeding into the visceral cavities. This case shows that concurrent administration of phenprocoumone and phenylbutazone may lead to drug interactions that increase the anticoagulation effect of the coumarine-derivative. Simultaneous use of coumarine-derivatives and phenylbutazone is therefore contraindicated due to the higher risk of bleeding. A reasonable treatment of horses with anticoagulants requires regular monitoring with constant evaluation of coagulation status and special attention to potential drug interactions.

  4. Comparison of the interaction between lactoferrin and isomeric drugs.

    Science.gov (United States)

    Guo, Ming; Lu, Xiaowang; Wang, Yan; Brodelius, Peter E

    2017-02-15

    The binding properties of pentacyclic triterpenoid isomeric drugs, i.e. ursolic acid (UA) and oleanolic acid (OA), to bovine lactoferrin (BLF) have been studied by molecule modeling, fluorescence spectroscopy, UV-visible absorbance spectroscopy and infrared spectroscopy (IR). Molecular docking, performed to reveal the possible binding mode or mechanism, suggested that hydrophobic interaction and hydrogen bonding play important roles to stabilize the complex. The results of spectroscopic measurements showed that the two isomeric drugs both strongly quenched the intrinsic fluorescence of BLF through a static quenching procedure although some differences between UA and OA binding strength and non-radiation energy transfer occurred within the molecules. The number of binding sites was 3.44 and 3.10 for UA and OA, respectively, and the efficiency of Förster energy transfer provided a distance of 0.77 and 1.21nm for UA and OA, respectively. The conformation transformation of BLF affected by the drugs conformed to the "all-or-none" pattern. In addition, the changes of the ratios of α-helices, β-sheets and β-turns of BLF during the process of the interaction were obtained. The results of the experiments in combination with the calculations showed that there are two modes of pentacyclic triterpenoid binding to BLF instead of one binding mode only governed by the principle of the lowest bonding energy. Copyright © 2016 Elsevier B.V. All rights reserved.

  5. Parent-adolescent problem-solving interactions and drug use.

    Science.gov (United States)

    Hops, H; Tildesley, E; Lichtenstein, E; Ary, D; Sherman, L

    1990-01-01

    This study reports on the social problem-solving interactions of young adolescents in single-parent and intact families on substance-specific and nonsubstance-related issues. Although research has shown the impact of families on adolescent substance use, all of the previous results have been based on questionnaire or interview data. A sample of 128 families was selected from a larger sample of 763 within a longitudinal study of adolescent substance use. Parent(s) and one adolescent, aged 11-15, participated in interactions which were videotaped for later coding. In three standard scenarios, the families discussed fictional assignments from a health class teacher about the use of cigarettes, alcohol, and marijuana. In addition, they discussed an issue salient to them that was the source of recent conflict. Results showed that aversive affective behavior was more likely to be displayed by substance-using adolescents, whether or not the issue was drug-related. Mothers' and fathers' alcohol use was also shown to contribute to alcohol and cigarette use among their children, while fathers' smoking contributed to marijuana and hard drug use. These data suggest that such families may not be skilled at resolving issues and coping with life's difficulties whether or not they are drug-related.

  6. Comparison of the interaction between lactoferrin and isomeric drugs

    Science.gov (United States)

    Guo, Ming; Lu, Xiaowang; Wang, Yan; Brodelius, Peter E.

    2017-02-01

    The binding properties of pentacyclic triterpenoid isomeric drugs, i.e. ursolic acid (UA) and oleanolic acid (OA), to bovine lactoferrin (BLF) have been studied by molecule modeling, fluorescence spectroscopy, UV-visible absorbance spectroscopy and infrared spectroscopy (IR). Molecular docking, performed to reveal the possible binding mode or mechanism, suggested that hydrophobic interaction and hydrogen bonding play important roles to stabilize the complex. The results of spectroscopic measurements showed that the two isomeric drugs both strongly quenched the intrinsic fluorescence of BLF through a static quenching procedure although some differences between UA and OA binding strength and non-radiation energy transfer occurred within the molecules. The number of binding sites was 3.44 and 3.10 for UA and OA, respectively, and the efficiency of Förster energy transfer provided a distance of 0.77 and 1.21 nm for UA and OA, respectively. The conformation transformation of BLF affected by the drugs conformed to the ;all-or-none; pattern. In addition, the changes of the ratios of α-helices, β-sheets and β-turns of BLF during the process of the interaction were obtained. The results of the experiments in combination with the calculations showed that there are two modes of pentacyclic triterpenoid binding to BLF instead of one binding mode only governed by the principle of the lowest bonding energy.

  7. Study of drug-Drug interactions among the hypertensive patients in a tertiary care teaching hospital.

    Science.gov (United States)

    Subramanian, Ansha; Adhimoolam, Mangaiarkkarasi; Kannan, Suresh

    2018-01-01

    Drug-drug interactions (DDIs) are one of the major but preventable cause of adverse drug reaction. Study of prevalence and prediction of DDIs will make the physician easier to provide better patient care and mitigate patient's harm. Hence, the study was planned to evaluate the potential DDIs among medication prescribed to hypertensive patients in our hospital. A prospective, cross-sectional study was conducted among the hypertensive patients in medicine (outpatient/inpatient) department over the period of three months in a tertiary care hospital. Adult hypertensive patients of either sex with comorbidities were included in the study. The prescriptions were collected and analyzed for DDI using Medscape interaction checker. Data were analyzed using SPSS (version 16.0) software and expressed in percentage. Pearson's correlation and regression analysis were done. Among 125 patients, 48% were exposed to at least one DDI. Totally 123 DDI were identified and majority of them were significant (85.36%). No serious interactions were identified. Pharmacodynamic and pharmacokinetic drug interactions were found to be 37.39% and 28.76%, respectively. Logistic regression analysis showed advanced male gender and polypharmacy was associated with increased risk of DDI. About 51 interacting pairs of DDI were identified and most frequently occurring pair was amlodipine with atenolol. Aspirin was found to have commonly involved in DDI with enalapril, atenolol, frusemide, spironolactone, carvedilol, and metoprolol. The study highlighted that patients with hypertension are particularly vulnerable to DDI. The comorbidities, advanced age, and polypharmacy are the important factors associated with the occurrence of DDI.

  8. Inhibition of protein kinase CK2 suppresses tumor necrosis factor (TNF)-α-induced leukocyte-endothelial cell interaction.

    Science.gov (United States)

    Ampofo, Emmanuel; Rudzitis-Auth, Jeannette; Dahmke, Indra N; Rössler, Oliver G; Thiel, Gerald; Montenarh, Mathias; Menger, Michael D; Laschke, Matthias W

    2015-10-01

    Inflammatory endothelial processes are regulated by the nuclear factor-κB (NF-κB) pathway, which involves phosphorylation of p65. Because p65 is a substrate of CK2, we herein investigated, whether this pleiotropic protein kinase may be a beneficial anti-inflammatory target. For this purpose, we analyzed in human dermal microvascular endothelial cells (HDMEC) the effect of CK2 inhibition by quinalizarin and CX-4945 on cell viability, adhesion molecule expression and NF-κB pathway activation. Leukocyte binding to HDMEC was assessed in an in vitro adhesion assay. Dorsal skinfold chambers in BALB/c mice were used to study leukocyte-endothelial cell interaction and leukocyte transmigration by means of repetitive intravital fluorescence microscopy and immunohistochemistry. We found that quinalizarin and CX-4945 effectively suppressed the activity of CK2 in HDMEC without affecting their viability. This was associated with a significant down-regulation of tumor necrosis factor (TNF)-α-induced E-selectin, intercellular adhesion molecule (ICAM)-1 and vascular cell adhesion molecule (VCAM)-1 expression due to a reduction of shuttling, phosphorylation and transcriptional activity of the NF-κB complex. In consequence, leukocyte binding to quinalizarin- and CX-4945-treated HDMEC was diminished. Finally, CX-4945 treatment significantly decreased the numbers of adherent and transmigrated leukocytes in dorsal skinfold chambers exposed to TNF-α in vivo. These findings indicate that CK2 is a key regulator of leukocyte-endothelial cell interaction in inflammation by regulating the expression of E-selectin, ICAM-1 and VCAM-1 via affecting the transcriptional activity of the NF-κB complex. Accordingly, CK2 represents a promising target for the development of novel anti-inflammatory drugs. Copyright © 2015 Elsevier B.V. All rights reserved.

  9. Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study.

    Science.gov (United States)

    Jiang, Guoqian; Liu, Hongfang; Solbrig, Harold R; Chute, Christopher G

    2015-01-01

    Drug-drug interactions (DDIs) are a major contributing factor for unexpected adverse drug events (ADEs). However, few of knowledge resources cover the severity information of ADEs that is critical for prioritizing the medical need. The objective of the study is to develop and evaluate a Semantic Web-based approach for mining severe DDI-induced ADEs. We utilized a normalized FDA Adverse Event Report System (AERS) dataset and performed a case study of three frequently prescribed cardiovascular drugs: Warfarin, Clopidogrel and Simvastatin. We extracted putative DDI-ADE pairs and their associated outcome codes. We developed a pipeline to filter the associations using ADE datasets from SIDER and PharmGKB. We also performed a signal enrichment using electronic medical records (EMR) data. We leveraged the Common Terminology Criteria for Adverse Event (CTCAE) grading system and classified the DDI-induced ADEs into the CTCAE in the Web Ontology Language (OWL). We identified 601 DDI-ADE pairs for the three drugs using the filtering pipeline, of which 61 pairs are in Grade 5, 56 pairs in Grade 4 and 484 pairs in Grade 3. Among 601 pairs, the signals of 59 DDI-ADE pairs were identified from the EMR data. The approach developed could be generalized to detect the signals of putative severe ADEs induced by DDIs in other drug domains and would be useful for supporting translational and pharmacovigilance study of severe ADEs.

  10. Phytotherapeutics: The Emerging Role of Intestinal and Hepatocellular Transporters in Drug Interactions with Botanical Supplements.

    Science.gov (United States)

    Murtaza, Ghulam; Ullah, Naveed; Mukhtar, Farah; Nawazish, Shamyla; Muneer, Saiqa

    2017-10-21

    In herbalism, botanical supplements are commonly believed to be safe remedies, however, botanical supplements and dietary ingredients interact with transport and metabolic processes, affecting drug disposition. Although a large number of studies have described that botanical supplements interfere with drug metabolism, the mode of their interaction with drug transport processes is not well described. Such interactions may result in serious undesired effects and changed drug efficacy, therefore, some studies on interaction between botanical supplement ingredients and drug transporters such as P-gp and OATPs are described here, suggesting that the interaction between botanical supplements and the drug transporters is clinically significant.

  11. Time-dependent drug-drug interaction alerts in care provider order entry: software may inhibit medication error reductions.

    Science.gov (United States)

    van der Sijs, Heleen; Lammers, Laureen; van den Tweel, Annemieke; Aarts, Jos; Berg, Marc; Vulto, Arnold; van Gelder, Teun

    2009-01-01

    Time-dependent drug-drug interactions (TDDIs) are drug combinations that result in a decreased drug effect due to coadministration of a second drug. Such interactions can be prevented by separately administering the drugs. This study attempted to reduce drug administration errors due to overridden TDDIs in a care provider order entry (CPOE) system. In four periods divided over two studies, logged TDDIs were investigated by reviewing the time intervals prescribed in the CPOE and recorded on the patient chart. The first study showed significant drug administration error reduction from 56.4 to 36.2% (p0.05). Despite interventions, drug administration errors still occurred in more than one third of cases and prescribing errors in 79-87%. Probably the low alert specificity, the unclear alert information content, and the inability of the software to support safe and efficient TDDI alert handling all diminished correct prescribing, and consequently, insufficiently reduced drug administration errors.

  12. Pharmacokinetic Interactions between Drugs and Botanical Dietary Supplements

    Science.gov (United States)

    Sprouse, Alyssa A.

    2016-01-01

    The use of botanical dietary supplements has grown steadily over the last 20 years despite incomplete information regarding active constituents, mechanisms of action, efficacy, and safety. An important but underinvestigated safety concern is the potential for popular botanical dietary supplements to interfere with the absorption, transport, and/or metabolism of pharmaceutical agents. Clinical trials of drug–botanical interactions are the gold standard and are usually carried out only when indicated by unexpected consumer side effects or, preferably, by predictive preclinical studies. For example, phase 1 clinical trials have confirmed preclinical studies and clinical case reports that St. John’s wort (Hypericum perforatum) induces CYP3A4/CYP3A5. However, clinical studies of most botanicals that were predicted to interact with drugs have shown no clinically significant effects. For example, clinical trials did not substantiate preclinical predictions that milk thistle (Silybum marianum) would inhibit CYP1A2, CYP2C9, CYP2D6, CYP2E1, and/or CYP3A4. Here, we highlight discrepancies between preclinical and clinical data concerning drug–botanical interactions and critically evaluate why some preclinical models perform better than others in predicting the potential for drug–botanical interactions. Gaps in knowledge are also highlighted for the potential of some popular botanical dietary supplements to interact with therapeutic agents with respect to absorption, transport, and metabolism. PMID:26438626

  13. Pharmacokinetic drug-drug interaction and their implication in clinical management

    Directory of Open Access Journals (Sweden)

    Palleria Caterina

    2013-01-01

    Full Text Available Drug-drug interactions (DDIs are one of the commonest causes of medication error in developed countries, particularly in the elderly due to poly-therapy, with a prevalence of 20-40%. In particular, poly-therapy increases the complexity of therapeutic management and thereby the risk of clinically important DDIs, which can both induce the development of adverse drug reactions or reduce the clinical efficacy. DDIs can be classify into two main groups: pharmacokinetic and pharmacodynamic. In this review, using Medline, PubMed, Embase, Cochrane library and Reference lists we searched articles published until June 30 2012, and we described the mechanism of pharmacokinetic DDIs focusing the interest on their clinical implications.

  14. Pharmacology of drugs for hyperuricemia. Mechanisms, kinetics and interactions.

    Science.gov (United States)

    Pea, F

    2005-01-01

    The pharmacological profile of drugs for hyperuricemia is reviewed. These agents may reduce the amount of uric acid in blood by means of two different ways: (1) by reducing uric acid production through the inhibition of the enzyme xanthine oxidase (as allopurinol); (2) by increasing uric acid clearance through an inhibition of its renal tubular reabsorption (as probenecid), or through its metabolic conversion to a more soluble compound (as urate oxidase). Allopurinol is rapidly converted in the body to the active metabolite oxypurinol whose total body exposure may be 20-fold greater than that of the parent compound due to a much longer elimination half-life. Allopurinol undergoes several pharmacokinetic interactions with concomitant administered drugs, some of which may be potentially hazardous (especially with mercaptopurine and azathioprine). Probenecid is an uricosuric agent which undergoes extensive hepatic metabolism and whose elimination after high doses may become dose dependent. It may inhibit renal tubular secretion of several coadministered agents, including methotrexate and sulphonylureas. Rasburicase is a recombinant form of the enzyme urate oxidase which catalyzes the conversion of uric acid to the more soluble compound allantoin. Unlike allopurinol, it does not promote accumulation of hypoxanthine and xanthine in plasma, thus preventing the risk of xanthine nephropathy. Rasburicase showed no significant accumulation in children after administration of either 0.15 or 0.20 mg/kg/daily for 5 days. Rasburicase probably undergoes peptide hydrolysis and in in vitro studies was shown neither to inhibit or induce cytochrome P450 isoenzymes nor to interact with several drugs, so that no relevant interaction is expected during cotreatment in patients.

  15. Design Features of Drug-Drug Interaction Trials Between Antivirals and Oral Contraceptives.

    Science.gov (United States)

    Ayala, Ruben C; Arya, Vikram; Younis, Islam R

    2016-05-01

    The aim of this work was to explore the major design features of drug-drug interaction trials between antiviral medications (AVs) and oral contraceptives (OCs). Information on these trials (n = 27) was collected from approved drug labels and clinical pharmacology reviews conducted by the U.S. Food and Drug Administration. The primary objective of all trials was to evaluate changes in OC exposure following the coadministration of AVs. In addition, an evaluation of potential pharmacodynamic interaction was performed in 10 of these trials. Twenty-two trials were open label with a fixed-sequence design, and 5 trials used a double-blind crossover design. The trials were conducted using one, two, or three 28-day ovulatory cycles in 10, 8, and 9 trials, respectively. Only 1 trial enrolled HIV-infected women. The median number of women in a trial was 20 (range, 12 to 52). Norethindrone/ethinyl estradiol (EE) combination was the most commonly used OC (n = 16, 59%) followed by norgestimate/EE (n = 9, 33%). Labeling recommendations were based on exposure changes in 25 cases and on safety observations in the trial in 2 cases. In conclusion, a wide variety of trial designs was used, and there is no preferred design. The answer to the exposure question can be achieved using multiple designs. © 2015, The American College of Clinical Pharmacology.

  16. Drug-Drug Interactions, Effectiveness, and Safety of Hormonal Contraceptives in Women Living with HIV

    Science.gov (United States)

    Scarsi, Kimberly K.; Darin, Kristin M.; Chappell, Catherine A.; Nitz, Stephanie M.; Lamorde, Mohammed

    2016-01-01

    Family planning options, including hormonal contraceptives, are essential for improving reproductive health among the more than 17 million women living with human immunodeficiency virus (HIV) worldwide. For these women, prevention of unintended pregnancy decreases maternal and child mortality, as well as reduces the risk of perinatal HIV transmission. Similarly, treatment of HIV with antiretroviral therapy (ART) is essential for reducing morbidity and mortality among HIV-positive individuals, as well as preventing HIV transmission between sexual partners or from mother to child. Importantly, despite the benefits of hormonal contraceptives, barriers to effective family planning methods exist for HIV-positive women. Specifically, drug-drug interactions can occur between some antiretroviral medications and some hormonal contraceptives, which may influence both contraceptive efficacy and tolerability. In addition, safety concerns have been raised about the impact of hormonal contraceptives on HIV disease progression, tolerability and the risk of female-to-male HIV transmission. This review article summarizes the potential for drug-drug interactions, tolerability, and contraceptive effectiveness when hormonal contraceptives are combined with ART. In addition, the evidence surrounding the influence of hormonal contraceptives on HIV transmission and HIV disease progression in women living with HIV are summarized. PMID:27562873

  17. A novel algorithm for analyzing drug-drug interactions from MEDLINE literature.

    Science.gov (United States)

    Lu, Yin; Shen, Dan; Pietsch, Maxwell; Nagar, Chetan; Fadli, Zayd; Huang, Hong; Tu, Yi-Cheng; Cheng, Feng

    2015-11-27

    Drug-drug interaction (DDI) is becoming a serious clinical safety issue as the use of multiple medications becomes more common. Searching the MEDLINE database for journal articles related to DDI produces over 330,000 results. It is impossible to read and summarize these references manually. As the volume of biomedical reference in the MEDLINE database continues to expand at a rapid pace, automatic identification of DDIs from literature is becoming increasingly important. In this article, we present a random-sampling-based statistical algorithm to identify possible DDIs and the underlying mechanism from the substances field of MEDLINE records. The substances terms are essentially carriers of compound (including protein) information in a MEDLINE record. Four case studies on warfarin, ibuprofen, furosemide and sertraline implied that our method was able to rank possible DDIs with high accuracy (90.0% for warfarin, 83.3% for ibuprofen, 70.0% for furosemide and 100% for sertraline in the top 10% of a list of compounds ranked by p-value). A social network analysis of substance terms was also performed to construct networks between proteins and drug pairs to elucidate how the two drugs could interact.

  18. The drug-minded protein interaction database (DrumPID) for efficient target analysis and drug development.

    Science.gov (United States)

    Kunz, Meik; Liang, Chunguang; Nilla, Santosh; Cecil, Alexander; Dandekar, Thomas

    2016-01-01

    The drug-minded protein interaction database (DrumPID) has been designed to provide fast, tailored information on drugs and their protein networks including indications, protein targets and side-targets. Starting queries include compound, target and protein interactions and organism-specific protein families. Furthermore, drug name, chemical structures and their SMILES notation, affected proteins (potential drug targets), organisms as well as diseases can be queried including various combinations and refinement of searches. Drugs and protein interactions are analyzed in detail with reference to protein structures and catalytic domains, related compound structures as well as potential targets in other organisms. DrumPID considers drug functionality, compound similarity, target structure, interactome analysis and organismic range for a compound, useful for drug development, predicting drug side-effects and structure-activity relationships.Database URL:http://drumpid.bioapps.biozentrum.uni-wuerzburg.de. © The Author(s) 2016. Published by Oxford University Press.

  19. Biomembrane models and drug-biomembrane interaction studies: Involvement in drug design and development

    Science.gov (United States)

    Pignatello, R.; Musumeci, T.; Basile, L.; Carbone, C.; Puglisi, G.

    2011-01-01

    Contact with many different biological membranes goes along the destiny of a drug after its systemic administration. From the circulating macrophage cells to the vessel endothelium, to more complex absorption barriers, the interaction of a biomolecule with these membranes largely affects its rate and time of biodistribution in the body and at the target sites. Therefore, investigating the phenomena occurring on the cell membranes, as well as their different interaction with drugs in the physiological or pathological conditions, is important to exploit the molecular basis of many diseases and to identify new potential therapeutic strategies. Of course, the complexity of the structure and functions of biological and cell membranes, has pushed researchers toward the proposition and validation of simpler two- and three-dimensional membrane models, whose utility and drawbacks will be discussed. This review also describes the analytical methods used to look at the interactions among bioactive compounds with biological membrane models, with a particular accent on the calorimetric techniques. These studies can be considered as a powerful tool for medicinal chemistry and pharmaceutical technology, in the steps of designing new drugs and optimizing the activity and safety profile of compounds already used in the therapy. PMID:21430952

  20. Biomembrane models and drug-biomembrane interaction studies: Involvement in drug design and development.

    Science.gov (United States)

    Pignatello, R; Musumeci, T; Basile, L; Carbone, C; Puglisi, G

    2011-01-01

    Contact with many different biological membranes goes along the destiny of a drug after its systemic administration. From the circulating macrophage cells to the vessel endothelium, to more complex absorption barriers, the interaction of a biomolecule with these membranes largely affects its rate and time of biodistribution in the body and at the target sites. Therefore, investigating the phenomena occurring on the cell membranes, as well as their different interaction with drugs in the physiological or pathological conditions, is important to exploit the molecular basis of many diseases and to identify new potential therapeutic strategies. Of course, the complexity of the structure and functions of biological and cell membranes, has pushed researchers toward the proposition and validation of simpler two- and three-dimensional membrane models, whose utility and drawbacks will be discussed. This review also describes the analytical methods used to look at the interactions among bioactive compounds with biological membrane models, with a particular accent on the calorimetric techniques. These studies can be considered as a powerful tool for medicinal chemistry and pharmaceutical technology, in the steps of designing new drugs and optimizing the activity and safety profile of compounds already used in the therapy.

  1. Biomembrane models and drug-biomembrane interaction studies: Involvement in drug design and development

    Directory of Open Access Journals (Sweden)

    R Pignatello

    2011-01-01

    Full Text Available Contact with many different biological membranes goes along the destiny of a drug after its systemic administration. From the circulating macrophage cells to the vessel endothelium, to more complex absorption barriers, the interaction of a biomolecule with these membranes largely affects its rate and time of biodistribution in the body and at the target sites. Therefore, investigating the phenomena occurring on the cell membranes, as well as their different interaction with drugs in the physiological or pathological conditions, is important to exploit the molecular basis of many diseases and to identify new potential therapeutic strategies. Of course, the complexity of the structure and functions of biological and cell membranes, has pushed researchers toward the proposition and validation of simpler two- and three-dimensional membrane models, whose utility and drawbacks will be discussed. This review also describes the analytical methods used to look at the interactions among bioactive compounds with biological membrane models, with a particular accent on the calorimetric techniques. These studies can be considered as a powerful tool for medicinal chemistry and pharmaceutical technology, in the steps of designing new drugs and optimizing the activity and safety profile of compounds already used in the therapy.

  2. The majority of hepatitis C patients treated with direct acting antivirals are at risk for relevant drug-drug interactions.

    Science.gov (United States)

    Smolders, Elise J; Berden, Floor Ac; de Kanter, Clara Tmm; Kievit, Wietske; Drenth, Joost Ph; Burger, David M

    2017-08-01

    Direct-acting antivirals have improved treatment of chronic hepatitis C virus infection significantly. Direct-acting antivirals inhibit/induce and can also be substrates of drug-metabolising enzymes and transporters. This increases the risk for drug-drug interactions. The purpose of this study was to predict drug-drug interactions with co-medication used by hepatitis C virus-infected patients. We assembled a nationwide cohort of hepatitis C patients and collected cross-sectional data on co-medication use. We compiled a list of currently available direct-acting antiviral regimens and cross-checked for potential drug-drug interactions with used co-medication. The cohort included 461 patients of which 77% used co-medication. We identified 260 drugs used as co-medication. Antidepressants (7.4%), proton pump inhibitors (7.1%) and benzodiazepines (7.1%) were most frequently used. Of the patients, 60% were at risk for a clinically relevant drug-drug interaction with at least one of the direct-acting antiviral regimens. Interactions were most common with paritaprevir/ritonavir/ombitasvir/dasabuvir and least interactions were predicted with grazoprevir/elbasvir. Co-medication use is rich in frequency and diversity in chronic hepatitis C patients. The majority of patients are at risk for drug-drug interactions which may affect efficacy or toxicity of direct-acting antivirals or co-medication. The most recently introduced direct-acting antivirals are associated with a lower risk of drug-drug interactions.

  3. Identification of genes involved in interactions between Biomphalaria glabrata and Schistosoma mansoni by suppression subtractive hybridization.

    Science.gov (United States)

    Lockyer, Anne E; Spinks, Jennifer; Noble, Leslie R; Rollinson, David; Jones, Catherine S

    2007-01-01

    Biomphalaria glabrata is an intermediate snail host for Schistosoma mansoni, a medically important schistosome. In order to identify transcripts involved in snail-schistosome interactions, subtractive cDNA libraries were prepared, using suppression subtractive hybridization (SSH) between a parasite-exposed schistosome-resistant and a susceptible strain of B. glabrata, and also between schistosome-exposed and unexposed snails from the resistant snail line. Separate libraries were made from both haemocytes and the haemopoietic organ. Subtraction was performed in both directions enriching for cDNAs differentially expressed between parasite-exposed resistant and susceptible samples and up or down-regulated in the resistant line after challenge. The resulting eight libraries were screened and eight genes, differentially expressed between the haemocytes of resistant and susceptible snail strains, were identified and confirmed with reverse transcriptase PCR, including two transcripts expected to be involved in the stress response mechanism for regulating the damaging oxidative burst pathways involved in cytotoxic killing of the parasite: the iron-storage and immunoregulatory molecule, ferritin, and HtrA2, a serine protease involved in the cellular stress response. Transcripts with elevated levels in the resistant strain, had the same expression patterns in the subtracted libraries and unsubtracted controls; higher levels in exposed resistant snails compared to susceptible ones and down-regulated in exposed compared with unexposed resistant snails. Differential expression of two of the transcripts with no known function from the susceptible strain, was independently confirmed in a repeat exposure experiment.

  4. Interactions between cannabidiol and commonly used antiepileptic drugs.

    Science.gov (United States)

    Gaston, Tyler E; Bebin, E Martina; Cutter, Gary R; Liu, Yuliang; Szaflarski, Jerzy P

    2017-09-01

    To identify potential pharmacokinetic interactions between the pharmaceutical formulation of cannabidiol (CBD; Epidiolex) and the commonly used antiepileptic drugs (AEDs) through an open-label safety study. Serum levels were monitored to identify interactions between CBD and AEDs. In 39 adults and 42 children, CBD dose was started at 5 mg/kg/day and increased every 2 weeks by 5 mg/kg/day up to a maximum of 50 mg/kg/day. Serum AED levels were obtained at baseline prior to CBD initiation and at most study visits. AED doses were adjusted if it was determined that a clinical symptom or laboratory result was related to a potential interaction. The Mixed Procedure was used to determine if there was a significant change in the serum level of each of the 19 AEDs with increasing CBD dose. AEDs with interactions seen in initial analysis were plotted for mean change in serum level over time. Subanalyses were performed to determine if the frequency of sedation in participants was related to the mean serum N-desmethylclobazam level, and if aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were different in participants taking concomitant valproate. Increases in topiramate, rufinamide, and N-desmethylclobazam and decrease in clobazam (all p Epilepsy.

  5. Suppression of shivering during hypothermia using a novel drug combination in healthy volunteers.

    Science.gov (United States)

    Lenhardt, Rainer; Orhan-Sungur, Mukadder; Komatsu, Ryu; Govinda, Raghavendra; Kasuya, Yusuke; Sessler, Daniel I; Wadhwa, Anupama

    2009-07-01

    Hypothermia may be beneficial in stroke victims; however, it provokes vigorous shivering. Buspirone and dexmedetomidine each linearly reduce the shivering threshold with minimal sedation and no respiratory depression. This study tested the hypotheses that the combination of buspirone and dexmedetomidine would (1) synergistically reduce the shivering threshold, (2) synergistically reduce the gain and maximum intensity of shivering, and (3) produce sufficient inhibition to permit cooling to 34 degrees C without excessive hypotension or sedation. Eight healthy men were randomly assigned on 4 days to (1) no drug, (2) buspirone (60 mg orally), (3) dexmedetomidine (intravenous infusion to target plasma concentration of 0.6 ng/ml), or (4) combination of buspirone and dexmedetomidine at same doses. Lactated Ringer's solution (approximately 3 degrees C) was infused intravenously to decrease tympanic membrane temperature by 1.5 degrees C/h. Shivering threshold was defined as an increase in oxygen consumption greater than 20%. Sedation was evaluated using the Observer's Assessment of Sedation/Alertness scale. Mean arterial pressure and heart rate were slightly lower on dexmedetomidine and combination days. Likewise, the level of sedation was statistically different on these 2 days but clinically unimportant. Buspirone reduced the shivering threshold from 36.6 degrees C +/- 0.4 degrees C to 35.9 degrees C +/- 0.4 degrees C, dexmedetomidine reduced it to 34.7 degrees C +/- 0.5 degrees C, and the combination to 34.1 +/- 0.4 degrees C. The interaction effect of 0.04 degrees C was not significant. The gain of shivering and maximum shivering intensity were similar on each day. The combination of buspirone and dexmedetomidine additively reduced the shivering threshold. Thus, supplementing dexmedetomidine with buspirone blocks shivering and causes only minimal sedation.

  6. Risk of community-acquired pneumonia and use of gastric acid-suppressive drugs.

    NARCIS (Netherlands)

    Laheij, R.J.F.; Sturkenboom, M.C.; Hassing, R.J.; Dieleman, J.P.; Stricker, B.H.C.; Jansen, J.B.M.J.

    2004-01-01

    CONTEXT: Reduction of gastric acid secretion by acid-suppressive therapy allows pathogen colonization from the upper gastrointestinal tract. The bacteria and viruses in the contaminated stomach have been identified as species from the oral cavity. OBJECTIVE: To examine the association between the

  7. In vitro drug interaction of levocetirizine and diclofenac: Theoretical and spectroscopic studies

    Science.gov (United States)

    Abo Dena, Ahmed S.; Abdel Gaber, Sara A.

    2017-06-01

    Levocetirizine dihydrochloride is known to interact with some anti-inflammatory drugs. We report here a comprehensive integrated theoretical and experimental study for the in vitro drug interaction between levocetirizine dihydrochloride (LEV) and diclofenac sodium (DIC). The interaction of the two drugs was confirmed by the molecular ion peak obtained from the mass spectrum of the product. Moreover, FTIR and 1HNMR spectra of the individual drugs and their interaction product were inspected to allocate the possible sites of interaction. In addition, quantum mechanical DFT calculations were performed to search for the interaction sites and to verify the types of interactions deduced from the spectroscopic studies such as charge-transfer and non-bonding π-π interactions. It was found that the studied drugs interact with each other in aqueous solution via four types of interactions, namely, ion-pair formation, three weak hydrogen bonds, non-bonding π-π interactions and charge-transfer from DIC to LEV.

  8. Mode of Antifungal Drugs Interaction with Cytochrome P- 450

    Directory of Open Access Journals (Sweden)

    M- Mahmodian

    1991-07-01

    Full Text Available Computer was used to identify the interactions of substrates and antifungal drugs with the enzyme, Cytochrome P-450; and then Molplot.bas computer program was applied to get three dimensional figures of 5-hydroxy camphor.oxidation products of camphor analogues, and antifungal drugs.Cartesian characteristics of atoms building molecules, are taken from Buildz. for program, which can calculate X,Y,Z coordinates of atoms by Zmatrix data. The other program which can calculate X,Y,Z coordinates, using fractional characteristics, is the Coord, for program that, gives our cartesian characteristics of the atoms of molecule, then by using these data, we obtain three dimensional figures and distance between active atoms in compounds under consideration. Results show that distance between two oxygen atoms in 5-exo-hydroxy- camphor and the other compounds obtained from oxidation of camphor analogues, with the distance of two oxygen atoms in antifungal compounds under discussion are equal. Therefore, we can conclude that, the antifungal molecule also interacts with enzyme's active site, by its own sites, in a similar manner to the 5-hydroxy camphor molecule, which is:"n1. Nitrogen atom (N of Imidazole and Triazole ring in antifungal molecule with Iron atom in heam molecule belonging to Cytochrome P-450 enzyme, are coordinated."n2. The other atoms such as : 0,S or N in structure of the antifungal drug are coordinated with hydrogen atom of hydroxyl group belong ing to Tyr-96 in the structure of enzyme, forming hydrogen bonding.

  9. Adverse drug reactions and drug–drug interactions with over-the-counter NSAIDs

    Directory of Open Access Journals (Sweden)

    Moore N

    2015-07-01

    Full Text Available Nicholas Moore,1 Charles Pollack,2 Paul Butkerait2 1Department of Pharmacology, Université de Bordeaux, Bordeaux, France; 2Pfizer Consumer Healthcare, Madison, NJ, USA Abstract: Nonsteroidal anti-inflammatory drugs (NSAIDs such as ibuprofen have a long history of safe and effective use as both prescription and over-the-counter (OTC analgesics/antipyretics. The mechanism of action of all NSAIDs is through reversible inhibition of cyclooxygenase enzymes. Adverse drug reactions (ADRs including gastrointestinal bleeding as well as cardiovascular and renal effects have been reported with NSAID use. In many cases, ADRs may occur because of drug–drug interactions (DDIs between the NSAID and a concomitant medication. For example, DDIs have been reported when NSAIDs are coadministered with aspirin, alcohol, some antihypertensives, antidepressants, and other commonly used medications. Because of the pharmacologic nature of these interactions, there is a continuum of risk in that the potential for an ADR is dependent on total drug exposure. Therefore, consideration of dose and duration of NSAID use, as well as the type or class of comedication administered, is important when assessing potential risk for ADRs. Safety findings from clinical studies evaluating prescription-strength NSAIDs may not be directly applicable to OTC dosing. Health care providers can be instrumental in educating patients that using OTC NSAIDs at the lowest effective dose for the shortest required duration is vital to balancing efficacy and safety. This review discusses some of the most clinically relevant DDIs reported with NSAIDs based on major sites of ADRs and classes of medication, with a focus on OTC ibuprofen, for which the most data are available. Keywords: adverse effects, nonsteroidal anti-inflammatory drugs, gastrointestinal, cardiovascular, renal

  10. Detection of Potential Drug-Drug Interactions for Outpatients across Hospitals

    Directory of Open Access Journals (Sweden)

    Yu-Ting Yeh

    2014-01-01

    Full Text Available The National Health Insurance Administration (NHIA has adopted smart cards (or NHI-IC cards as health cards to carry patients’ medication histories across hospitals in Taiwan. The aims of this study are to enhance a computerized physician order entry system to support drug-drug interaction (DDI checking based on a patient’s medication history stored in his/her NHI-IC card. For performance evaluation, we developed a transaction tracking log to keep track of every operation on NHI-IC cards. Based on analysis of the transaction tracking log from 1 August to 31 October 2007, physicians read patients’ NHI-IC cards in 71.01% (8,246 of patient visits; 33.02% (2,723 of the card reads showed at least one medicine currently being taken by the patient, 82.94% of which were prescribed during the last visit. Among 10,036 issued prescriptions, seven prescriptions (0.09% contained at least one drug item that might interact with the currently-taken medicines stored in NHI-IC cards and triggered pop-up alerts. This study showed that the capacity of an NHI-IC card is adequate to support DDI checking across hospitals. Thus, the enhanced computerized physician order entry (CPOE system can support better DDI checking when physicians are making prescriptions and provide safer medication care, particularly for patients who receive medication care from different hospitals.

  11. Detection of potential drug-drug interactions for outpatients across hospitals.

    Science.gov (United States)

    Yeh, Yu-Ting; Hsu, Min-Hui; Chen, Chien-Yuan; Lo, Yu-Sheng; Liu, Chien-Tsai

    2014-01-27

    The National Health Insurance Administration (NHIA) has adopted smart cards (or NHI-IC cards) as health cards to carry patients' medication histories across hospitals in Taiwan. The aims of this study are to enhance a computerized physician order entry system to support drug-drug interaction (DDI) checking based on a patient's medication history stored in his/her NHI-IC card. For performance evaluation, we developed a transaction tracking log to keep track of every operation on NHI-IC cards. Based on analysis of the transaction tracking log from 1 August to 31 October 2007, physicians read patients' NHI-IC cards in 71.01% (8,246) of patient visits; 33.02% (2,723) of the card reads showed at least one medicine currently being taken by the patient, 82.94% of which were prescribed during the last visit. Among 10,036 issued prescriptions, seven prescriptions (0.09%) contained at least one drug item that might interact with the currently-taken medicines stored in NHI-IC cards and triggered pop-up alerts. This study showed that the capacity of an NHI-IC card is adequate to support DDI checking across hospitals. Thus, the enhanced computerized physician order entry (CPOE) system can support better DDI checking when physicians are making prescriptions and provide safer medication care, particularly for patients who receive medication care from different hospitals.

  12. Drug interaction between idelalisib and diazepam resulting in altered mental status and respiratory failure.

    Science.gov (United States)

    Bossaer, John B; Chakraborty, Kanishka

    2017-09-01

    In recent years, several new oral anticancer drugs have been approved, many via an accelerated approval process. These new agents have the potential for drug interactions, but lack of familiarity with these drugs by clinicians may increase the risk for drug interactions. We describe an interaction between the new anticancer agent idelalisib (CYP 3A4 inhibitor) and diazepam (CYP 3A4 substrate) that resulted in altered mental status and type II respiratory failure resulting in hospitalization. After discontinuation of both agents, the patient recovered quickly. Idelalisib was reinitiated after discharge. Lorazepam was substituted for diazepam since it is not metabolized via CYP 3A4. Both agents were tolerated well thereafter. This interaction was only flagged by two of four commonly used drug interaction databases. Clinicians should exercise caution with initiating new oral anticancer agents and consider the potential for drug interactions without solely relying on drug interaction databases.

  13. Prevalence and patient awareness of selected potential drug interactions with self-medication.

    Science.gov (United States)

    Indermitte, J; Reber, D; Beutler, M; Bruppacher, R; Hersberger, K E

    2007-04-01

    In community pharmacies potential drug interactions between prescription only medicines (POM) and over-the-counter (OTC) drugs purchased for self-medication arise mainly in two situations: (i) if an OTC drug is purchased by a passer-by customer whose prescribed drug therapy is not known; or (ii) if a POM or an OTC drug is requested by a regular customer whose prescribed drug therapy is usually recorded. With this study we aimed to assess the prevalence of potential drug interactions with selected POM and OTC drugs in passer-by and regular customers as well as their awareness of these potential drug interactions. Data were collected in 14 community pharmacies in the region of Basel, Switzerland by observation of customer contacts and interviews with passer-by customers purchasing selected OTC drugs, and telephone-interviews with regular customers treated with selected POMs identified in community pharmacies' databases. The selected POMs and OTC drugs are drugs which could lead to clinically relevant drug interactions of varying severity but manageable through different interventions such as adjustment of dose and its timing and/or monitoring of the therapy, and avoidance of the combination by choosing an alternative treatment. Of 1183 passer-by customers observed, 164 (14 x 4%) purchased at least one of the selected OTC drugs. One hundred and two (62 x 2%) of those subjects were interviewed. Forty-three (42 x 2%) mentioned taking prescribed drugs, and three of them were exposed to potential drug interactions of moderate severity. Out of 592 regular customers selected from the community pharmacy database, 434 (73 x 3%) could be interviewed. Sixty-nine (15 x 9%) of them were exposed to a potential drug interaction between purchased OTC drug for self-medication and their POM. Furthermore, 116 (26 x 7%) regular customers were exposed to potential drug interactions within their prescribed drugs and in 28 (6 x 5%) multiple (>or=2) potential drug interactions were found

  14. Genetic Interactions of STAT3 and Anticancer Drug Development

    International Nuclear Information System (INIS)

    Fang, Bingliang

    2014-01-01

    Signal transducer and activator of transcription 3 (STAT3) plays critical roles in tumorigenesis and malignant evolution and has been intensively studied as a therapeutic target for cancer. A number of STAT3 inhibitors have been evaluated for their antitumor activity in vitro and in vivo in experimental tumor models and several approved therapeutic agents have been reported to function as STAT3 inhibitors. Nevertheless, most STAT3 inhibitors have yet to be translated to clinical evaluation for cancer treatment, presumably because of pharmacokinetic, efficacy, and safety issues. In fact, a major cause of failure of anticancer drug development is lack of efficacy. Genetic interactions among various cancer-related pathways often provide redundant input from parallel and/or cooperative pathways that drives and maintains survival environments for cancer cells, leading to low efficacy of single-target agents. Exploiting genetic interactions of STAT3 with other cancer-related pathways may provide molecular insight into mechanisms of cancer resistance to pathway-targeted therapies and strategies for development of more effective anticancer agents and treatment regimens. This review focuses on functional regulation of STAT3 activity; possible interactions of the STAT3, RAS, epidermal growth factor receptor, and reduction-oxidation pathways; and molecular mechanisms that modulate therapeutic efficacies of STAT3 inhibitors

  15. Pharmacokinetic drug interaction profile of omeprazole with adverse consequences and clinical risk management

    Directory of Open Access Journals (Sweden)

    Li W

    2013-05-01

    cancer resistance protein-mediated drug transport, and inhibition of oral absorption by gastric acid suppression. Sometimes, DDIs of omeprazole do not exhibit a PPI class effect. Other suitable PPIs or histamine 2 antagonists may be therapeutic alternatives that can be used to avoid adverse consequences. The degree of DDIs associated with omeprazole and clinical outcomes depend on factors such as genotype status of CYP2C19 and CYP1A2, ethnicity, dose and treatment course of precipitant omeprazole, pharmaceutical formulation of object drug (eg, mycophenolate mofetil versus enteric-coated mycophenolate sodium, other concomitant medication (eg, omeprazole-indinavir versus omeprazole–indinavir–ritonavir, and administration schedule (eg, intensified dosing of mycophenolate mofetil versus standard dosing.Conclusion: Despite the fact that omeprazole is one of the most widely prescribed drugs internationally, clinical professionals should enhance clinical risk management on adverse DDIs associated with omeprazole and ensure safe combination use of omeprazole by rationally prescribing alternatives, checking the appropriateness of physician orders before dispensing, and performing therapeutic drug monitoring.Keywords: administration schedule, drug interactions, drug toxicity, herb–drug interactions, omeprazole, pharmacokinetics, polypharmacy, prescription auditing, risk management, treatment failure

  16. Prediction of drug-target interaction networks from the integration of chemical and genomic spaces.

    Science.gov (United States)

    Yamanishi, Yoshihiro; Araki, Michihiro; Gutteridge, Alex; Honda, Wataru; Kanehisa, Minoru

    2008-07-01

    The identification of interactions between drugs and target proteins is a key area in genomic drug discovery. Therefore, there is a strong incentive to develop new methods capable of detecting these potential drug-target interactions efficiently. In this article, we characterize four classes of drug-target interaction networks in humans involving enzymes, ion channels, G-protein-coupled receptors (GPCRs) and nuclear receptors, and reveal significant correlations between drug structure similarity, target sequence similarity and the drug-target interaction network topology. We then develop new statistical methods to predict unknown drug-target interaction networks from chemical structure and genomic sequence information simultaneously on a large scale. The originality of the proposed method lies in the formalization of the drug-target interaction inference as a supervised learning problem for a bipartite graph, the lack of need for 3D structure information of the target proteins, and in the integration of chemical and genomic spaces into a unified space that we call 'pharmacological space'. In the results, we demonstrate the usefulness of our proposed method for the prediction of the four classes of drug-target interaction networks. Our comprehensively predicted drug-target interaction networks enable us to suggest many potential drug-target interactions and to increase research productivity toward genomic drug discovery. Softwares are available upon request. Datasets and all prediction results are available at http://web.kuicr.kyoto-u.ac.jp/supp/yoshi/drugtarget/.

  17. Analysis of potential drug-drug interactions in medical intensive care unit patients.

    Science.gov (United States)

    Uijtendaal, Esther V; van Harssel, Lieke L M; Hugenholtz, Gerard W K; Kuck, Emile M; Zwart-van Rijkom, Jeannette E F; Cremer, Olaf L; Egberts, Toine C G

    2014-03-01

    To describe the frequency and type of potential drug-drug interactions (pDDIs) in a general intensive care unit (ICU) and to make recommendations to improve the management of these pDDIs. Retrospective observational study. General ICU of a tertiary care hospital. All patients admitted for more than 24 hours between May 2009 and December 2010 who were prescribed at least one medication. Based on the G-Standaard, the Dutch national drug database, pDDIs were identified and classified into categories of potential clinical outcome and management advice. In total, 35,784 medication episodes were identified, resulting in 2887 pDDIs (8.1%). These 2887 pDDIs occurred in 1659 patients for a mean frequency of 1.7 (95% confidence interval [CI] 1.6-1.9) pDDIs per patient. Overall, 54% of the patients experienced at least one pDDI with pDDIs present during 27% of all ICU admission days. All pDDIs could be reconstructed using 81 of the 358 (23%) relevant unique pDDI pairs described in the G-Standaard. The most frequently occurring potential clinical consequence was an increased risk of side effects or toxicity (91% of the pDDIs) such as electrolyte disturbances and masking of hypoglycemia. The most important advised management strategy was monitoring (81%), consisting of monitoring of laboratory values (52%), clinical monitoring of toxicity or effectiveness (48%), or monitoring of physical parameters such as electrocardiogram and blood pressure (11%). Potential drug-drug interactions occur in 54% of all ICU patients, which is two times more than the rate seen in patients on general wards. A limited set of 20 pDDI pairs is responsible for more than 90% of all pDDIs. Therefore, it is worthwhile to develop guidelines for the management of these specific pDDIs. As the vast majority of the interactions can be managed by monitoring, advanced clinical decision support systems linking laboratory data to prescription data may be an effective risk management strategy. © 2014 American

  18. Co-morbidity and clinically significant interactions between antiepileptic drugs and other drugs in elderly patients with newly diagnosed epilepsy.

    Science.gov (United States)

    Bruun, Emmi; Virta, Lauri J; Kälviäinen, Reetta; Keränen, Tapani

    2017-08-01

    A study was conducted to investigate the frequency of potential pharmacokinetic drug-to-drug interactions in elderly patients with newly diagnosed epilepsy. We also investigated co-morbid conditions associated with epilepsy. From the register of Kuopio University Hospital (KUH) we identified community-dwelling patients aged 65 or above with newly diagnosed epilepsy and in whom use of the first individual antiepileptic drug (AED) began in 2000-2013 (n=529). Furthermore, register data of the Social Insurance Institution of Finland were used for assessing potential interactions in a nationwide cohort of elderly subjects with newly diagnosed epilepsy. We extracted all patients aged 65 or above who had received special reimbursement for the cost of AEDs prescribed on account of epilepsy in 2012 where their first AED was recorded in 2011-2012 as monotherapy (n=1081). Clinically relevant drug interactions (of class C or D) at the time of starting of the first AED, as assessed via the SFINX-PHARAO database, were analysed. Hypertension (67%), dyslipidemia (45%), and ischaemic stroke (32%) were the most common co-morbid conditions in the hospital cohort of patients. In these patients, excessive polypharmacy (more than 10 concomitant drugs) was identified in 27% of cases. Of the patients started on carbamazepine, 52 subjects (32%) had one class-C or class-D drug interaction and 51 (31%) had two or more C- or D-class interactions. Only 2% of the subjects started on valproate exhibited a class-C interaction. None of the subjects using oxcarbazepine displayed class-C or class-D interactions. Patients with 3-5 (OR 4.22; p=0.05) or over six (OR 8.86; p=0.003) other drugs were more likely to have C- or D-class interaction. The most common drugs with potential interactions with carbamazepine were dihydropyridine calcium-blockers, statins, warfarin, and psychotropic drugs. Elderly patients with newly diagnosed epilepsy are at high risk of clinically relevant pharmacokinetic

  19. Drug-polymer interaction studies of cytarabine loaded chitosan nanoparticles

    International Nuclear Information System (INIS)

    Madni, A.; Kashif, P.M.; Nazir, I.; Rehman, M.

    2017-01-01

    Assessment of possible incompatibilities between drug and excipients is an important parameter of preformulation stage during the pharmaceutical product development of active pharmaceutical ingredient (API). The potential physical and chemical interaction among the components of a delivery system can affect the chemical nature, bioavailability, stability, and subsequently therapeutic efficacy of drugs. In this study, ATR-FTIR spectroscopy was employed to investigate the possible intermolecular interaction of Cytarabine with deacetylated chitosan and tripolyphosphate in the resulting physical blends and crosslinked nanoparticulate system. Two different strategies, physical blending and ionotropic gelation, were adopted to prepare binary or tertiary mixtures and nanoparticulate formulation, respectively. The IR spectra of CB showed characteristic peaks at 3438.27 cm-1 (primary amine), 3264.74 cm-1 (hydroxyl group) and 1654.98 cm-1 (C=O stretch in cyclic ring); CS at 3361.47 cm-1 (N-H stretching), 1646.18 cm-1 (C=O of Amide I), 1582.36 cm-1 (C=O of Amide II), and sTPP at 1135.77 cm-1 (P=O). CS-sTPP chemical interaction was confirmed from the shift in the absorption band of carbonyl groups (amide I, II) to 1634.66 cm-1 and 1541.17 cm-1 in blank chitosan nanoparticles, and 1636.87 cm-1, 1543.33 cm-1 in CSNP1 (2:6:1), and at 1646.15 cm-1 and 1557.04 cm-1 in CSNP2 (1:3:1). The characteristic peaks of CB were also present in chitosan formulation with a slight shift in the amino group at 3429.43 cm-1 and 3423.21 cm-1, in the hydroxyl group at 3274.54 cm-1 and 3270.73 cm-1, CSNP1 and CSNP2, respectively. The findings counseled no significant interaction in IR absorption pattern of cytarabine functional groups after encapsulation in CS-sTPP complex, which projected the potential of chitosan nanoparticulate system to entrap cytarabine. (author)

  20. Prediction of drug interaction between oral adsorbent AST-120 and concomitant drugs based on the in vitro dissolution and in vivo absorption behavior of the drugs.

    Science.gov (United States)

    Koya, Yohei; Uchida, Shinya; Machi, Yoshiki; Shobu, Yuko; Namiki, Noriyuki; Kotegawa, Tsutomu

    2016-11-01

    AST-120 is used to decrease the abundance of serum uremic toxins in treatment of chronic kidney disease; however, it could also adsorb concomitantly administered drugs. This study aimed to develop a prediction method for drug interaction between AST-120 and concomitantly administered drugs based on in vitro dissolution and in vivo absorption behavior. Sixty-eight drugs were selected for the analysis. For each drug, theoretical dissolution (R d ) and absorption (R a ) rates at estimated dosing intervals (1, 30, 60, 90, 120, and 240 min) were calculated using the Noyes-Whitney formula and compartment analysis, respectively. The optimal thresholds for R d and R a (R dth and R ath ) were estimated by comparing the results with those of previous drug interaction studies for six drugs. Four drug interaction risk categories for 68 drugs at each dose interval were defined according to the indices of dissolution and absorption against their thresholds. The in vitro dissolution and in vivo absorption behavior of the selected drugs were well fitted to the Noyes-Whitney formula and one- or two-compartment models. The optimal R dth and R ath that gave the highest value of consistency with the equivalence of drug interaction studies were 90 and 30 %, respectively. As the dosing intervals were lengthened, the number of drugs classified into the low-risk categories increased. A new drug interaction prediction method based on the pharmacokinetic parameters of drugs was developed. The new model is useful for estimating the risk of drug interaction in clinical practice when AST-120 is used in combination with other drugs.

  1. Hemodynamic changes by drug interaction of adrenaline with chlorpromazine.

    Science.gov (United States)

    Higuchi, Hitoshi; Yabuki, Akiko; Ishii-Maruhama, Minako; Tomoyasu, Yumiko; Maeda, Shigeru; Miyawaki, Takuya

    2014-01-01

    Adrenaline (epinephrine) is included in dental local anesthesia for the purpose of vasoconstriction. In Japan, adrenaline is contraindicated for use in patients receiving antipsychotic therapy, because the combination of adrenaline and an antipsychotic is considered to cause severe hypotension; however, there is insufficient evidence supporting this claim. The purpose of the present study was to clarify the changes in hemodynamics caused by drug interaction between adrenaline and an antipsychotic and to evaluate the safety of the combined use of adrenaline and an antipsychotic in an animal study. Male Sprague-Dawley rats were anesthetized with sodium pentobarbital. A catheter was inserted into the femoral artery to measure blood pressure and pulse rate. Rats were pretreated by intraperitoneal injection of chlorpromazine or chlorpromazine and propranolol, and after 20 minutes, saline or 1 of 3 different doses of adrenaline was administered by intraperitoneal injection. Changes in the ratio of mean arterial blood pressure and pulse rate were measured after the injection of adrenaline. Significant hypotension and tachycardia were observed after the injection of adrenaline in the chlorpromazine-pretreated rats. These effects were in a dose-dependent manner, and 100 μg/kg adrenaline induced significant hemodynamic changes. Furthermore, in the chlorpromazine and propranolol-pretreated rats, modest hypertension was induced by adrenaline, but hypotension and tachycardia were not significantly shown. Hypotension was caused by a drug interaction between adrenaline and chlorpromazine through the activation of the β-adrenergic receptor and showed a dose-dependent effect. Low-dose adrenaline similar to what might be used in human dental treatment did not result in a significant homodynamic change.

  2. Impedance dispersion analysis of drug-membrane interactions

    Science.gov (United States)

    Tacheva, Bilyana; Paarvanova, Boyana; Ivanov, Ivan T.; Karabaliev, Miroslav

    2017-11-01

    Thin lipid films modified glassy carbon electrodes (GCE) were used in this work as model system for studying the interactions between two antipsychotic phenothiazine drugs, chlorpromazine and thioridazine, and the lipid fraction of the biomembranes. The lipid films on the electrode surface were obtained through the thinning of film-forming lipid solution deposited between an electrolyte phase and the working GC electrode. The effects of the drugs on the lipid film structure were investigated by electrochemical impedance spectroscopy (EIS). To characterize the electric properties of the lipid film the impedance of the working GCE is modeled with an equivalent circuit consisting of parallel capacitance Cp and resistance Rp. These capacitance and resistance are not frequency independent but could be calculated as equivalent Cp and Rp for each measured frequency of the impedance spectrum and presented as functions of the frequency f, Cp = Cp(f) and Rp= Rp(f). For the lipid films used in this work, it is demonstrated that both Cp(f) and Rp(f) are well approximated with power-law functions. This behavior implies that the impedance Z of the films could be analysed in terms of the well-known constant-phase angle element (CPE), which is often used to describe the interfacial impedance of solid working electrodes.

  3. Canyon of current suppression in an interacting two-level quantum dot

    DEFF Research Database (Denmark)

    Karlström, O; Pedersen, Jonas Nyvold; Samuelsson, P

    2011-01-01

    Motivated by the recent discovery of a canyon of conductance suppression in a two-level equal-spin quantum dot system [Phys. Rev. Lett. 104, 186804 (2010)], the transport through this system is studied in detail. At low bias and low temperature a strong current suppression is found around...... the electron-hole symmetry point independent of the couplings, in agreement with previous results. By means of a Schrieffer–Wolff transformation we are able to give an intuitive explanation to this suppression in the low-energy regime. In the general situation, numerical simulations are carried out using...... quantum rate equations. The simulations allow for the prediction of how the suppression is affected by the couplings, the charging energy, the position of the energy levels, the applied bias, and the temperature. We find that, away from electron-hole symmetry, the parity of the couplings is essential...

  4. Quantitative structure-activity relationship (QSAR) analysis to predict drug-drug interactions of ABC transporter ABCG2.

    Science.gov (United States)

    Ishikawa, T; Hirano, H; Saito, H; Sano, K; Ikegami, Y; Yamaotsu, N; Hirono, S

    2012-06-01

    Quantitative structure-activity relationship (QSAR) analysis is a practical approach by which chemical structure is quantitatively correlated with biological activity or chemical reactivity. Human ABC transporter ABCG2 exhibits broad substrate specificity toward structurally diverse compounds. To gain insight into the relationship between the molecular structures of compounds and the interaction with ABCG2, we have developed an algorithm that analyzes QSAR to evaluate ABCG2-drug interactions. In addition, to support QSAR analysis, we developed a high-speed screening method for analyzing the drug-drug interactions of ABCG2. Based on both experimental results and computational QSAR analysis data, we propose a hypothetical mechanism underlying ABC-mediated drug transport and its interaction with drugs.

  5. Advances in oral controlled drug delivery: the role of drug-polymer and interpolymer non-covalent interactions.

    Science.gov (United States)

    De Robertis, Simona; Bonferoni, Maria Cristina; Elviri, Lisa; Sandri, Giuseppina; Caramella, Carla; Bettini, Ruggero

    2015-03-01

    After more than four decades of intense research, oral controlled drug delivery systems (DDSs) still represent a topic of major interest for pharmaceutical scientist and formulators. This can be explained in part by considering the economic value of oral DDSs whose market accounts for more than half of the overall drug delivery market. Polymeric systems based on drug-polymer non-covalent interaction represent a limited, but growing part of the field. Despite the large amount of literature and published reviews covering specific aspects, there is still need for a review of the relevant literature providing a general picture of the topic. The present review aims at presenting the latest findings in drug-polymer and interpolymer non-covalent interactions in oral controlled delivery while providing a specific perspective and a critical point of view, particularly on the tools and methods used for the study of these DDSs. Four main sections are considered: i) ionic interactions between drugs and polymers; ii) interpolymer complexes; iii) hydrogen bond; and iv) hydrophobic interactions. The largest part of the scientific literature deals with systems based on drug-polymer ionic interactions while hydrogen bonding and hydrophobic interaction though, very promising, are more difficult to exploit, and therefore less studied. An accurate and exhaustive representation of the specific role of the chemical functions in establishing predictable interactions between drug and polymers is still required.

  6. Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering.

    Science.gov (United States)

    Shi, Jian-Yu; Yiu, Siu-Ming; Li, Yiming; Leung, Henry C M; Chin, Francis Y L

    2015-07-15

    Predicting drug-target interaction using computational approaches is an important step in drug discovery and repositioning. To predict whether there will be an interaction between a drug and a target, most existing methods identify similar drugs and targets in the database. The prediction is then made based on the known interactions of these drugs and targets. This idea is promising. However, there are two shortcomings that have not yet been addressed appropriately. Firstly, most of the methods only use 2D chemical structures and protein sequences to measure the similarity of drugs and targets respectively. However, this information may not fully capture the characteristics determining whether a drug will interact with a target. Secondly, there are very few known interactions, i.e. many interactions are "missing" in the database. Existing approaches are biased towards known interactions and have no good solutions to handle possibly missing interactions which affect the accuracy of the prediction. In this paper, we enhance the similarity measures to include non-structural (and non-sequence-based) information and introduce the concept of a "super-target" to handle the problem of possibly missing interactions. Based on evaluations on real data, we show that our similarity measure is better than the existing measures and our approach is able to achieve higher accuracy than the two best existing algorithms, WNN-GIP and KBMF2K. Our approach is available at http://web.hku.hk/∼liym1018/projects/drug/drug.html or http://www.bmlnwpu.org/us/tools/PredictingDTI_S2/METHODS.html. Copyright © 2015 Elsevier Inc. All rights reserved.

  7. Theoretical and experimental investigation of drug-polymer interaction and miscibility and its impact on drug supersaturation in aqueous medium.

    Science.gov (United States)

    Baghel, Shrawan; Cathcart, Helen; O'Reilly, Niall J

    2016-10-01

    Amorphous solid dispersions (ASDs) have the potential to offer higher apparent solubility and bioavailability of BCS class II drugs. Knowledge of the solid state drug-polymer solubility/miscibility and their mutual interaction are fundamental requirements for the effective design and development of such systems. To this end, we have carried out a comprehensive investigation of various ASD systems of dipyridamole and cinnarizine in polyvinylpyrrolidone (PVP) and polyacrylic acid (PAA) at different drug loadings. Theoretical and experimental examinations (by implementing binary and ternary Flory-Huggins (F-H) theory) related to drug-polymer interaction/miscibility including solubility parameter approach, melting point depression method, phase diagram, drug-polymer interaction in the presence of moisture and the effect of drug loading on interaction parameter were performed. The information obtained from this study was used to predict the stability of ASDs at different drug loadings and under different thermal and moisture conditions. Thermal and moisture sorption analysis not only provided the composition-dependent interaction parameter but also predicted the composition dependent miscibility. DPM-PVP, DPM-PAA and CNZ-PAA systems have shown molecular level mixing over the complete range of drug loading. For CNZ-PVP, the presence of a single Tg at lower drug loadings (10, 20 and 35%w/w) indicates the formation of solid solution. However, drug recrystallization was observed for samples with higher drug weight fractions (50 and 65%w/w). Finally, the role of polymer in maintaining drug supersaturation has also been explored. It has been found that drug-polymer combinations capable of hydrogen-bonding in the solution state (DPM-PVP, DPM-PAA and CNZ-PAA) are more effective in preventing drug crystallization compared to the drug-polymer systems without such interaction (CNZ-PVP). The DPM-PAA system outperformed all other ASDs in various stability conditions (dry-state, in

  8. Drug permeation and cellular interaction of amino acid-coated drug combination powders for pulmonary delivery.

    Science.gov (United States)

    Vartiainen, Ville; Bimbo, Luis M; Hirvonen, Jouni; Kauppinen, Esko I; Raula, Janne

    2016-05-17

    The effect of three amino acid coatings (L-leucine, L-valine and L-phenylalanine) on particle integrity, aerosolization properties, cellular interaction, cytocompatibility, and drug permeation properties of drug combination powder particles (beclomethasone dipropionate and salbutamol sulphate) for dry powder inhalation (DPI) was investigated. Particles with crystalline L-leucine coating resulted in intact separated particles, with crystalline L-valine coating in slightly sintered particles and with amorphous L-phenylalanine coating in strongly fused particles. The permeation of beclomethasone dipropionate across a Calu-3 differentiated cell monolayer was increased when compared with its physical mixture. Drug crystal formation was also observed on the Calu-3 cell monolayer. The L-leucine coated particles were further investigated for cytocompatibility in three human pulmonary (Calu-3, A549 and BEAS-2B) and one human macrophage (THP-1) cell lines, where they showed excellent tolerability. The l-leucine coated particles were also examined for their ability to elicit reactive oxygen species in pulmonary BEAS-2B and macrophage THP-1 cell lines. The study showed the influence of the amino acid coatings for particle formation and performance and their feasibility for combination therapy for pulmonary delivery. Copyright © 2016 Elsevier B.V. All rights reserved.

  9. Using improved serial blood sampling method of mice to study pharmacokinetics and drug-drug interaction.

    Science.gov (United States)

    Watanabe, Ayahisa; Watari, Ryosuke; Ogawa, Keiko; Shimizu, Ryosuke; Tanaka, Yukari; Takai, Nozomi; Nezasa, Ken-ichi; Yamaguchi, Yoshitaka

    2015-03-01

    In pharmacokinetic evaluation of mice, using serial sampling methods rather than a terminal blood sampling method could reduce the number of animals needed and lead to more reliable data by excluding individual differences. In addition, using serial sampling methods can be valuable for evaluation of the drug-drug interaction (DDI) potential of drug candidates. In this study, we established an improved method for serially sampling the blood from one mouse by only one incision of the lateral tail vein, and investigated whether our method could be adapted to pharmacokinetic and DDI studies. After intravenous and oral administration of ibuprofen and fexofenadine (BCS class II and III), the plasma concentration and pharmacokinetic parameters were evaluated by our method and a terminal blood sampling method, with the result that both methods gave comparable results (ibuprofen: 63.8 ± 4.0% and 64.4%, fexofenadine: 6.5 ± 0.7% and 7.9%, respectively, in bioavailability). In addition, our method could be adapted to DDI study for cytochrome P450 and organic anion transporting polypeptide inhibition. These results demonstrate that our method can be useful for pharmacokinetic evaluation from the perspective of reliable data acquisition as well as easy handling and low stress to mice and improve the quality of pharmacokinetic and DDI studies. © 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

  10. Pharmacokinetic drug interaction study between overactive bladder drugs mirabegron and tolterodine in Japanese healthy postmenopausal females.

    Science.gov (United States)

    Nomura, Yuki; Iitsuka, Hiromi; Toyoshima, Junko; Kuroishi, Kentaro; Hatta, Toshifumi; Kaibara, Atsunori; Katashima, Masataka; Moy, Selina; Sawamoto, Taiji

    2016-12-01

    Mirabegron, the first selective β 3 -adrenoceptor agonist for the treatment of overactive bladder (OAB), inhibits cytochrome P450 isozyme CYP2D6. This study was performed in Japanese healthy postmenopausal female volunteers to assess any pharmacokinetic drug interaction between mirabegron and tolterodine, another OAB drug and a sensitive substrate of CYP2D6. Tolterodine 4 mg was orally administered from Days 1-7 and co-administered with mirabegron 50 mg from Days 8-14. Mirabegron 50 mg increased maximum concentration (C max ) and area under the concentration-time curve from zero to 24 h after dosing (AUC 24h ) of tolterodine by 2.06-fold (90% confidence interval [CI] 1.81, 2.34) and 1.86-fold (90% CI 1.60, 2.16), respectively, and increased C max and AUC 24h of the metabolite 5-hydroxymethyl tolterodine by 1.36-fold (90% CI 1.26, 1.47) and 1.25-fold (90% CI 1.15, 1.37), respectively. This suggested a weak pharmacokinetic drug interaction between mirabegron and tolterodine. Mean change from baseline of Fridericia's QT correction formula (ΔQTcF) was slightly higher on Day 14 than on Day 7. No subject had QTcF >480 msec or ΔQTcF >60 msec. All the treatment-emergent adverse events were mild. Mirabegron 50 mg was considered to be safe and well tolerated when coadministered with tolterodine 4 mg in healthy postmenopausal female volunteers. Copyright © 2016 The Japanese Society for the Study of Xenobiotics. Published by Elsevier Ltd. All rights reserved.

  11. Arginine-aromatic interactions and their effects on arginine-induced solubilization of aromatic solutes and suppression of protein aggregation

    KAUST Repository

    Shah, Dhawal

    2011-09-21

    We examine the interaction of aromatic residues of proteins with arginine, an additive commonly used to suppress protein aggregation, using experiments and molecular dynamics simulations. An aromatic-rich peptide, FFYTP (a segment of insulin), and lysozyme and insulin are used as model systems. Mass spectrometry shows that arginine increases the solubility of FFYTP by binding to the peptide, with the simulations revealing the predominant association of arginine to be with the aromatic residues. The calculations further show a positive preferential interaction coefficient, Γ XP, contrary to conventional thinking that positive Γ XP\\'s indicate aggregation rather than suppression of aggregation. Simulations with lysozyme and insulin also show arginine\\'s preference for aromatic residues, in addition to acidic residues. We use these observations and earlier results reported by us and others to discuss the possible implications of arginine\\'s interactions with aromatic residues on the solubilization of aromatic moieties and proteins. Our results also highlight the fact that explanations based purely on Γ XP, which measures average affinity of an additive to a protein, could obscure or misinterpret the underlying molecular mechanisms behind additive-induced suppression of protein aggregation. © 2011 American Institute of Chemical Engineers (AIChE).

  12. Drug interaction alert override rates in the Meaningful Use era: no evidence of progress.

    Science.gov (United States)

    Bryant, A D; Fletcher, G S; Payne, T H

    2014-01-01

    Interruptive drug interaction alerts may reduce adverse drug events and are required for Stage I Meaningful Use attestation. For the last decade override rates have been very high. Despite their widespread use in commercial EHR systems, previously described interventions to improve alert frequency and acceptance have not been well studied. (1) To measure override rates of inpatient medication alerts within a commercial clinical decision support system, and assess the impact of local customization efforts. (2) To compare override rates between drug-drug interaction and drug-allergy interaction alerts, between attending and resident physicians, and between public and academic hospitals. (3) To measure the correlation between physicians' individual alert quantities and override rates as an indicator of potential alert fatigue. We retrospectively analyzed physician responses to drug-drug and drug-allergy interaction alerts, as generated by a common decision support product in a large teaching hospital system. (1) Over four days, 461 different physicians entered 18,354 medication orders, resulting in 2,455 visible alerts; 2,280 alerts (93%) were overridden. (2) The drug-drug alert override rate was 95.1%, statistically higher than the rate for drug-allergy alerts (90.9%) (p drug interaction alert system and to reduce alerting, override rates remain as high as reported over a decade ago. Alert fatigue does not seem to contribute. The results suggest the need to fundamentally question the premises of drug interaction alert systems.

  13. [The possible suppression of Alzheimer's disease by nonsteroidal anti-inflammatory drugs

    NARCIS (Netherlands)

    Jong, D. de; Jansen, R.W.M.M.; Verbeek, M.M.; Kremer, H.P.H.

    2002-01-01

    Ever since inflammatory mediators were detected in and around amyloid plaques in the brain of patients with Alzheimer's disease, there has been great interest in the inflammatory hypothesis and the possibility of treating Alzheimer's disease with anti-inflammatory drugs. Various epidemiological

  14. A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents

    Directory of Open Access Journals (Sweden)

    de Pablo-Sánchez César

    2011-03-01

    Full Text Available Abstract Background A drug-drug interaction (DDI occurs when one drug influences the level or activity of another drug. The increasing volume of the scientific literature overwhelms health care professionals trying to be kept up-to-date with all published studies on DDI. Methods This paper describes a hybrid linguistic approach to DDI extraction that combines shallow parsing and syntactic simplification with pattern matching. Appositions and coordinate structures are interpreted based on shallow syntactic parsing provided by the UMLS MetaMap tool (MMTx. Subsequently, complex and compound sentences are broken down into clauses from which simple sentences are generated by a set of simplification rules. A pharmacist defined a set of domain-specific lexical patterns to capture the most common expressions of DDI in texts. These lexical patterns are matched with the generated sentences in order to extract DDIs. Results We have performed different experiments to analyze the performance of the different processes. The lexical patterns achieve a reasonable precision (67.30%, but very low recall (14.07%. The inclusion of appositions and coordinate structures helps to improve the recall (25.70%, however, precision is lower (48.69%. The detection of clauses does not improve the performance. Conclusions Information Extraction (IE techniques can provide an interesting way of reducing the time spent by health care professionals on reviewing the literature. Nevertheless, no approach has been carried out to extract DDI from texts. To the best of our knowledge, this work proposes the first integral solution for the automatic extraction of DDI from biomedical texts.

  15. A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents.

    Science.gov (United States)

    Segura-Bedmar, Isabel; Martínez, Paloma; de Pablo-Sánchez, César

    2011-03-29

    A drug-drug interaction (DDI) occurs when one drug influences the level or activity of another drug. The increasing volume of the scientific literature overwhelms health care professionals trying to be kept up-to-date with all published studies on DDI. This paper describes a hybrid linguistic approach to DDI extraction that combines shallow parsing and syntactic simplification with pattern matching. Appositions and coordinate structures are interpreted based on shallow syntactic parsing provided by the UMLS MetaMap tool (MMTx). Subsequently, complex and compound sentences are broken down into clauses from which simple sentences are generated by a set of simplification rules. A pharmacist defined a set of domain-specific lexical patterns to capture the most common expressions of DDI in texts. These lexical patterns are matched with the generated sentences in order to extract DDIs. We have performed different experiments to analyze the performance of the different processes. The lexical patterns achieve a reasonable precision (67.30%), but very low recall (14.07%). The inclusion of appositions and coordinate structures helps to improve the recall (25.70%), however, precision is lower (48.69%). The detection of clauses does not improve the performance. Information Extraction (IE) techniques can provide an interesting way of reducing the time spent by health care professionals on reviewing the literature. Nevertheless, no approach has been carried out to extract DDI from texts. To the best of our knowledge, this work proposes the first integral solution for the automatic extraction of DDI from biomedical texts.

  16. Drug-drug interaction between clobazam and cannabidiol in children with refractory epilepsy.

    Science.gov (United States)

    Geffrey, Alexandra L; Pollack, Sarah F; Bruno, Patricia L; Thiele, Elizabeth A

    2015-08-01

    Under an expanded access investigational new drug (IND) trial, cannabidiol (CBD) is being studied as a possible adjuvant treatment of refractory epilepsy in children. Of the 25 subjects in the trial, 13 were being treated with clobazam (CLB). Because CLB and CBD are both metabolized in the cytochrome P450 (CYP) pathway, we predicted a drug-drug interaction, which we evaluate in this article. Thirteen subjects with refractory epilepsy concomitantly taking CLB and CBD under IND 119876 were included in this study. Demographic information was collected for each subject including age, sex, and etiology of seizures, as well as concomitant antiepileptic drugs (AEDs). CLB, N-desmethylclobazam (norclobazam; nCLB), and CBD levels were measured over the course of CBD treatment. CLB doses were recorded at baseline and at weeks 4 and 8 of CBD treatment. Side effects were monitored. We report elevated CLB and nCLB levels in these subjects. The mean (± standard deviation [SD]) increase in CLB levels was 60 ± 80% (95% confidence interval (CI) [-2-91%] at 4 weeks); the mean increase in nCLB levels was 500 ± 300% (95% CI [+90-610%] at 4 weeks). Nine of 13 subjects had a >50% decrease in seizures, corresponding to a responder rate of 70%. The increased CLB and nCLB levels and decreases in seizure frequency occurred even though, over the course of CBD treatment, CLB doses were reduced for 10 (77%) of the 13 subjects. Side effects were reported in 10 (77%) of the 13 subjects, but were alleviated with CLB dose reduction. Monitoring of CLB and nCLB levels is necessary for clinical care of patients concomitantly on CLB and CBD. Nonetheless, CBD is a safe and effective treatment of refractory epilepsy in patients receiving CLB treatment. Wiley Periodicals, Inc. © 2015 International League Against Epilepsy.

  17. A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information.

    Science.gov (United States)

    Luo, Yunan; Zhao, Xinbin; Zhou, Jingtian; Yang, Jinglin; Zhang, Yanqing; Kuang, Wenhua; Peng, Jian; Chen, Ligong; Zeng, Jianyang

    2017-09-18

    The emergence of large-scale genomic, chemical and pharmacological data provides new opportunities for drug discovery and repositioning. In this work, we develop a computational pipeline, called DTINet, to predict novel drug-target interactions from a constructed heterogeneous network, which integrates diverse drug-related information. DTINet focuses on learning a low-dimensional vector representation of features, which accurately explains the topological properties of individual nodes in the heterogeneous network, and then makes prediction based on these representations via a vector space projection scheme. DTINet achieves substantial performance improvement over other state-of-the-art methods for drug-target interaction prediction. Moreover, we experimentally validate the novel interactions between three drugs and the cyclooxygenase proteins predicted by DTINet, and demonstrate the new potential applications of these identified cyclooxygenase inhibitors in preventing inflammatory diseases. These results indicate that DTINet can provide a practically useful tool for integrating heterogeneous information to predict new drug-target interactions and repurpose existing drugs.Network-based data integration for drug-target prediction is a promising avenue for drug repositioning, but performance is wanting. Here, the authors introduce DTINet, whose performance is enhanced in the face of noisy, incomplete and high-dimensional biological data by learning low-dimensional vector representations.

  18. Correlation between drug-drug interaction-induced Stevens-Johnson syndrome and related deaths in Taiwan.

    Science.gov (United States)

    Cheng, Fu-Jen; Syu, Fei-Kai; Lee, Kuo-Hsin; Chen, Fu-Cheng; Wu, Chien-Hung; Chen, Chien-Chih

    2016-04-01

    Concomitant use of some drugs can lead to interactions between them resulting in severe adverse effects. To date, there are few reports of incidences of Stevens-Johnson syndrome (SJS) associated with combination drug administration. Therefore, we studied the relationship between drug combinations and SJS-related mortality, with the hope that a retrospective study of this nature would provide information crucial for the prevention of future drug-drug interaction related deaths attributable to SJS. This retrospective longitudinal study used mortality cases from 1999 to 2008 that were diagnosed as erythema multiforme (International Classification of Diseases, Ninth Revision, Clinical Modification 695.1) from the National Health Insurance database in Taiwan. Statistical comparisons of the results were performed using analysis of variance (ANOVA), independent sample t-tests, and odds ratio (OR). In this way, the relationship between combinations of SJS-inducing drugs and mortality could be determined. A total of 111 patients who had died, including 63 males and 48 females (66.0 ± 20 and 70.0 ± 17.7 years, respectively), were suspected of having experienced drug-drug interaction-related adverse effects. The associated drug combinations included allopurinol and ampicillin (p = 0.049), carbamazepine and sulfamethoxazole/trimethoprim (TMP) (p drugs that may possibly induce SJS. In addition, attention should be paid to ensure prompt identification of possible drug-drug interactions, and patients should be closely monitored. Furthermore, medications should be immediately discontinued at the first sign or symptom suggesting the occurrence of drug-related SJS, and then prompt, adequate supportive care should be provided. Copyright © 2016. Published by Elsevier B.V.

  19. Detection of First-Line Drug Resistance Mutations and Drug-Protein Interaction Dynamics from Tuberculosis Patients in South India.

    Science.gov (United States)

    Nachappa, Somanna Ajjamada; Neelambike, Sumana M; Amruthavalli, Chokkanna; Ramachandra, Nallur B

    2017-08-16

    Diagnosis of drug-resistant tuberculosis predominantly relies on culture-based drug susceptibility testing, which take weeks to produce a result and a more time-efficient alternative method is multiplex allele-specific PCR (MAS-PCR). Also, understanding the role of mutations in causing resistance helps better drug designing. To evaluate the ability of MAS-PCR in the detection of drug resistance and to understand the mechanism of interaction of drugs with mutant proteins in Mycobacterium tuberculosis. Detection of drug-resistant mutations using MAS-PCR and validation through DNA sequencing. MAS-PCR targeted five loci on three genes, katG 315 and inhA -15 for the drug isoniazid (INH), and rpoB 516, 526, and 531 for rifampicin (RIF). Furthermore, the sequence data were analyzed to study the effect on interaction of the anti-TB drug molecule with the target protein using in silico docking. We identified drug-resistant mutations in 8 out of 114 isolates with 2 of them as multidrug-resistant TB using MAS-PCR. DNA sequencing confirmed only six of these, recording a sensitivity of 85.7% and specificity of 99.3% for MAS-PCR. Molecular docking showed estimated free energy of binding (ΔG) being higher for RIF binding with RpoB S531L mutant. Codon 315 in KatG does not directly interact with INH but blocks the drug access to active site. We propose DNA sequencing-based drug resistance detection for TB, which is more accurate than MAS-PCR. Understanding the action of resistant mutations in disrupting the normal drug-protein interaction aids in designing effective drug alternatives.

  20. Analysis and prediction of drug-drug interaction by minimum redundancy maximum relevance and incremental feature selection.

    Science.gov (United States)

    Liu, Lili; Chen, Lei; Zhang, Yu-Hang; Wei, Lai; Cheng, Shiwen; Kong, Xiangyin; Zheng, Mingyue; Huang, Tao; Cai, Yu-Dong

    2017-02-01

    Drug-drug interaction (DDI) defines a situation in which one drug affects the activity of another when both are administered together. DDI is a common cause of adverse drug reactions and sometimes also leads to improved therapeutic effects. Therefore, it is of great interest to discover novel DDIs according to their molecular properties and mechanisms in a robust and rigorous way. This paper attempts to predict effective DDIs using the following properties: (1) chemical interaction between drugs; (2) protein interactions between the targets of drugs; and (3) target enrichment of KEGG pathways. The data consisted of 7323 pairs of DDIs collected from the DrugBank and 36,615 pairs of drugs constructed by randomly combining two drugs. Each drug pair was represented by 465 features derived from the aforementioned three categories of properties. The random forest algorithm was adopted to train the prediction model. Some feature selection techniques, including minimum redundancy maximum relevance and incremental feature selection, were used to extract key features as the optimal input for the prediction model. The extracted key features may help to gain insights into the mechanisms of DDIs and provide some guidelines for the relevant clinical medication developments, and the prediction model can give new clues for identification of novel DDIs.

  1. Azithromycin Dose To Maximize Efficacy and Suppress Acquired Drug Resistance in Pulmonary Mycobacterium avium Disease.

    Science.gov (United States)

    Deshpande, Devyani; Pasipanodya, Jotam G; Gumbo, Tawanda

    2016-04-01

    Mycobacterium aviumcomplex is now the leading mycobacterial cause of chronic pneumonia in the United States. Macrolides and ethambutol form the backbone of the regimen used in the treatment of pulmonary disease. However, therapy outcomes remain poor, with microbial cure rates of 4% in cavitary disease. The treatment dose of azithromycin has mostly been borrowed from that used to treat other bacterial pneumonias; there are no formal dose-response studies in pulmonaryM. aviumdisease and the optimal dose is unclear. We utilized population pharmacokinetics and pharmacokinetics/pharmacodynamics-derived azithromycin exposures associated with optimal microbial kill or resistance suppression to perform 10,000 patient Monte Carlo simulations of dose effect studies for daily azithromycin doses of 0.5 to 10 g. The currently recommended dose of 500 mg per day achieved the target exposures in 0% of patients. Exposures associated with optimal kill and resistance suppression were achieved in 87 and 54% of patients, respectively, only by the very high dose of 8 g per day. The azithromycin susceptibility breakpoint above which patients failed therapy on the very high doses of 8 g per day was an MIC of 16 mg/liter, suggesting a critical concentration of 32 mg/liter, which is 8-fold lower than the currently used susceptibility breakpoint of 256 mg/liter. If the standard dose of 500 mg a day were used, then the critical concentration would fall to 2 mg/liter, 128-fold lower than 256 mg/liter. The misclassification of resistant isolates as susceptible could explain the high failure rates of current doses. Copyright © 2016, American Society for Microbiology. All Rights Reserved.

  2. Soluble mediators and the interaction of drugs in IBD

    DEFF Research Database (Denmark)

    Rask-Madsen, J

    1998-01-01

    cells by manipulating adhesion molecules, by blocking the proinflammatory molecules, or by preserving endogenous suppressive molecules or correcting genetic defects. However, it remains to be defined whether targeting multiinflammatory actions or a single key pivotal process is the better therapeutic...

  3. Prevalence of Potential and Clinically Relevant Statin-Drug Interactions in Frail and Robust Older Inpatients.

    Science.gov (United States)

    Thai, Michele; Hilmer, Sarah; Pearson, Sallie-Anne; Reeve, Emily; Gnjidic, Danijela

    2015-10-01

    A significant proportion of older people are prescribed statins and are also exposed to polypharmacy, placing them at increased risk of statin-drug interactions. To describe the prevalence rates of potential and clinically relevant statin-drug interactions in older inpatients according to frailty status. A cross-sectional study of patients aged ≥65 years who were prescribed a statin and were admitted to a teaching hospital between 30 July and 10 October 2014 in Sydney, Australia, was conducted. Data on socio-demographics, comorbidities and medications were collected using a standardized questionnaire. Potential statin-drug interactions were defined if listed in the Australian Medicines Handbook and three international drug information sources: the British National Formulary, Drug Interaction Facts and Drug-Reax(®). Clinically relevant statin-drug interactions were defined as interactions with the highest severity rating in at least two of the three international drug information sources. Frailty was assessed using the Reported Edmonton Frail Scale. A total of 180 participants were recruited (median age 78 years, interquartile range 14), 35.0% frail and 65.0% robust. Potential statin-drug interactions were identified in 10% of participants, 12.7% of frail participants and 8.5% of robust participants. Clinically relevant statin-drug interactions were identified in 7.8% of participants, 9.5% of frail participants and 6.8% of robust participants. Depending on the drug information source used, the prevalence rates of potential and clinically relevant statin-drug interactions ranged between 14.4 and 35.6% and between 14.4 and 20.6%, respectively. In our study of frail and robust older inpatients taking statins, the overall prevalence of potential statin-drug interactions was low and varied significantly according to the drug information source used.

  4. 77 FR 9946 - Draft Guidance for Industry on Drug Interaction Studies-Study Design, Data Analysis, Implications...

    Science.gov (United States)

    2012-02-21

    ...] (Formerly Docket No. 2006D-0344) Draft Guidance for Industry on Drug Interaction Studies--Study Design, Data... availability of a revised draft guidance for industry entitled ``Drug Interaction Studies--Study Design, Data... transport, and drug-drug, or drug-therapeutic protein interactions. DATES: Although you can comment on any...

  5. Drug-target interaction prediction via class imbalance-aware ensemble learning

    OpenAIRE

    Ezzat, Ali; Wu, Min; Li, Xiao-Li; Kwoh, Chee-Keong

    2016-01-01

    Background Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use available data on known drug-target interactions to train classifiers with the purpose of predicting new undiscovered interactions. However, a key challenge regarding this data that has not yet been addressed by these methods, namely class imbalance, is potentially degrading the prediction performance. Class imbalance can be divided ...

  6. Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.

    Directory of Open Access Journals (Sweden)

    Yong Liu

    2016-02-01

    Full Text Available In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of the drug-target interactions have been experimentally validated, as the experimental validation is laborious and costly. To improve the drug discovery efficiency, there is a great need for the development of accurate computational approaches that can predict potential drug-target interactions to direct the experimental verification. In this paper, we propose a novel drug-target interaction prediction algorithm, namely neighborhood regularized logistic matrix factorization (NRLMF. Specifically, the proposed NRLMF method focuses on modeling the probability that a drug would interact with a target by logistic matrix factorization, where the properties of drugs and targets are represented by drug-specific and target-specific latent vectors, respectively. Moreover, NRLMF assigns higher importance levels to positive observations (i.e., the observed interacting drug-target pairs than negative observations (i.e., the unknown pairs. Because the positive observations are already experimentally verified, they are usually more trustworthy. Furthermore, the local structure of the drug-target interaction data has also been exploited via neighborhood regularization to achieve better prediction accuracy. We conducted extensive experiments over four benchmark datasets, and NRLMF demonstrated its effectiveness compared with five state-of-the-art approaches.

  7. Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction.

    Science.gov (United States)

    Liu, Yong; Wu, Min; Miao, Chunyan; Zhao, Peilin; Li, Xiao-Li

    2016-02-01

    In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of the drug-target interactions have been experimentally validated, as the experimental validation is laborious and costly. To improve the drug discovery efficiency, there is a great need for the development of accurate computational approaches that can predict potential drug-target interactions to direct the experimental verification. In this paper, we propose a novel drug-target interaction prediction algorithm, namely neighborhood regularized logistic matrix factorization (NRLMF). Specifically, the proposed NRLMF method focuses on modeling the probability that a drug would interact with a target by logistic matrix factorization, where the properties of drugs and targets are represented by drug-specific and target-specific latent vectors, respectively. Moreover, NRLMF assigns higher importance levels to positive observations (i.e., the observed interacting drug-target pairs) than negative observations (i.e., the unknown pairs). Because the positive observations are already experimentally verified, they are usually more trustworthy. Furthermore, the local structure of the drug-target interaction data has also been exploited via neighborhood regularization to achieve better prediction accuracy. We conducted extensive experiments over four benchmark datasets, and NRLMF demonstrated its effectiveness compared with five state-of-the-art approaches.

  8. [Interactions between synthetic drugs used in treatment of selected central nervous system disorders and dietary supplements and herbal drugs].

    Science.gov (United States)

    Zabłocka-Słowińska, Katarzyna; Jawna, Katarzyna; Biernat, Jadwiga

    2013-01-01

    The risk of interaction between dietary supplements, herbal drugs and synthetic drugs increases when patients are treated chronically, e.g. due to impairment of central nervous system (CNS)--depression, psychotic disorders, Parkinson's and Alzheimer's diseases. On the basis of scientific literature, there was shown that simultaneous intake of antidepressants, antipsychotic drugs and herbal drugs or dietary supplements containing: St. John's wort, valerian root, ginkgo biloba leaf, hops, and food ingredients: dietary fiber or folic acid, may lead to interactions. Dietary fiber supplementation should be applied carefully during treatment of Parkinson's disease and in case of Alzheimer disease treatment--supplements containing ginkgo biloba leaf can increase the risk of interaction. Knowledge of these interactions is essential in effective treatment of this illness. However this area of science should be verified constantly due to growing number of new products registered as a supplements--often with complex composition.

  9. Serotonergic and adrenergic drug interactions associated with linezolid: a critical review and practical management approach.

    Science.gov (United States)

    Ramsey, Tasha D; Lau, Tim Ty; Ensom, Mary Hh

    2013-04-01

    To describe the evidence for serotonergic and adrenergic drug interactions with linezolid and discuss clinical management strategies. A literature search of PubMed (1947-November 2012), MEDLINE (1946-November 2012), EMBASE (1974-November 2012), and International Pharmaceutical Abstracts (1970-November 2012) was conducted using the terms linezolid, drug interaction, serotonin syndrome, serotonin toxicity, sympathomimetic, serotonergic agents, and adrenergic agents. Citations of retrieved articles were also reviewed. English-language articles describing coadministration of serotonergic or adrenergic agents with linezolid to humans were included. Studies published only in abstract form were excluded. One prospective study, 6 retrospective studies, and 24 case reports were identified describing a serotonergic or adrenergic drug interaction. Incidence of serotonin syndrome in patients on linezolid and serotonergic agents ranged between 0.24% and 4%. Serotonergic agents determined to have probable (according to the Horn Drug Interaction Probability Scale) linezolid interactions in case reports included meperidine, citalopram, escitalopram, fluoxetine, paroxetine, sertraline, duloxetine, and venlafaxine. Serotonergic agent dose and duration of coadministration with linezolid did not appear to influence the occurrence of serotonin syndrome. Adrenergic medication coadministration was associated with a possible drug interaction as determined by the Horn Drug Interaction Probability Scale but did not appear to result in clinically significant drug interactions with linezolid. Linezolid-associated serotonergic drug interactions occur more commonly than adrenergic interactions. Serotonergic interactions considered probable according to the Horn Drug Interaction Probability Scale do not appear to correlate with drug dosage; time of onset ranges from serotonergic agent cannot be avoided, clinicians should be aware of the symptoms and management of serotonergic toxicity; close

  10. Adrenal suppression and Cushing's syndrome secondary to an interaction between ritonavir and fluticasone: a review of the literature.

    Science.gov (United States)

    Foisy, M M; Yakiwchuk, E M K; Chiu, I; Singh, A E

    2008-07-01

    The purpose of this article is to provide a systematic overview of the literature on adrenal suppression and Cushing's syndrome secondary to an interaction between inhaled/intranasal fluticasone and ritonavir. The clinical presentation, diagnosis and management will be discussed. A literature search using Medline and EMBASE and a search of abstracts of the three previous years of major HIV-related conferences were carried out. There were 25 cases (15 adult and 10 paediatric) of significant adrenal suppression secondary to an interaction between ritonavir and inhaled fluticasone, and three cases involving ritonavir and intranasal fluticasone. Cases with other steroids were not reported; however, there were cases of adrenal suppression with itraconazole [also a potent cytochrome p (CYP) 3A4 inhibitor] and inhaled budesonide. Clinicians need to differentiate between antiretroviral-induced lipodystrophy syndrome and iatrogenic Cushing's syndrome secondary to glucocorticoid use. Long-term fluticasone and ritonavir should be avoided. If ritonavir is required, another inhaled steroid such as low-dose budesonide or beclomethasone can be used cautiously. Upon discontinuation of inhaled corticosteroids, close monitoring for symptoms of adrenal insufficiency is warranted. The need for steroid replacement therapy at physiological doses should be assessed. The combination of ritonavir and fluticasone should be avoided. Budesonide, beclomethasone, triamcinolone and flunisolide appear to be safer options.

  11. In vivo study of drug interaction with brain benzodiazepine receptor

    Energy Technology Data Exchange (ETDEWEB)

    Inoue, O.; Shinotoh, H.; Ito, T.; Suzuki, K.; Hashimoto, K.; Yamasaki, T.

    1985-05-01

    The possibility of direct estimation of in vivo Bz receptor occupancy in brain was evaluated using C-11, or H-3-flumazepil (Ro15-1788). In animal experiments, 1 ..mu..Ci of H-3-Ro15-1788 was injected at 0.5 or 20 hr after i.v. injection of various dosage of clonazepam. Then radioactivity in cerebral cortex, cerebellum and blood at 5 min. after injection of the tracer was compared. Competitive inhibition of in vivo binding was clearly observed when clonazepam was pretreated at 0.5 hr before injection of the tracer. On the other hand, brain radioactivity was increased when clonazepam was administered at 20 hr before injection of the tracer. This increase in binding of H-3-Ro15-1788 might be caused by rebound of Bz receptor function by treatment with Bz agonist, and this rebound may have an important role in physiological function. Clinical investigation concerning drug interaction with brain Bz receptor was performed in normal volunteer and patients with neurological disorders. The distribution of C-11-Ro15-1788 in the brain of patients chronically treated with clonazepam were significantly heterogeneous. However, cerebral blood flow estimated with N-13 NH3 of these patients were normal.

  12. Rhabdomyolysis secondary to drug interaction between atorvastatin, omeprazole, and dexamethasone

    Directory of Open Access Journals (Sweden)

    Elazzazy S

    2012-09-01

    Full Text Available Shereen Elazzazy,1 Saad S Eziada,2 Manal Zaidan11Pharmacy Department, 2Oncology Hematology Department, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, QatarAbstract: Concomitant administration of atorvastatin, omeprazole, and dexamethasone has been shown to increase the serum concentration of serum hydroxymethylglutaryl coenzyme A which can be associated with elevation of creatine kinase and an increased risk of severe myopathy and rhabdomyolysis. In this paper, we report a case of a 60-year-old female patient with stage IV colon cancer and compromised hepatic function receiving palliative care who developed rhabdomyolysis while taking atorvastatin, omeprazole, and dexamethasone. Atorvastatin was stopped, and the dexamethasone dose was decreased. Her case was complicated by urosepsis cultures revealing an extended spectrum β-lactamase-producing strain of Escherichia coli, and she died on the second day after admission. Physicians should evaluate the risk/benefit ratio of continuing statins in palliative care patients, and pay special attention to the monitoring of patients on statins and P-glycoprotein inhibitors regardless of hepatic function.Keywords: statins, rhabdomyolysis, drug–drug interaction, P-glycoprotein inhibitors

  13. Drug/Cell-line Browser: interactive canvas visualization of cancer drug/cell-line viability assay datasets.

    Science.gov (United States)

    Duan, Qiaonan; Wang, Zichen; Fernandez, Nicolas F; Rouillard, Andrew D; Tan, Christopher M; Benes, Cyril H; Ma'ayan, Avi

    2014-11-15

    Recently, several high profile studies collected cell viability data from panels of cancer cell lines treated with many drugs applied at different concentrations. Such drug sensitivity data for cancer cell lines provide suggestive treatments for different types and subtypes of cancer. Visualization of these datasets can reveal patterns that may not be obvious by examining the data without such efforts. Here we introduce Drug/Cell-line Browser (DCB), an online interactive HTML5 data visualization tool for interacting with three of the recently published datasets of cancer cell lines/drug-viability studies. DCB uses clustering and canvas visualization of the drugs and the cell lines, as well as a bar graph that summarizes drug effectiveness for the tissue of origin or the cancer subtypes for single or multiple drugs. DCB can help in understanding drug response patterns and prioritizing drug/cancer cell line interactions by tissue of origin or cancer subtype. DCB is an open source Web-based tool that is freely available at: http://www.maayanlab.net/LINCS/DCB CONTACT: avi.maayan@mssm.edu Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  14. Mathematical description of drug-target interactions: application to biologics that bind to targets with two binding sites.

    Science.gov (United States)

    Gibiansky, Leonid; Gibiansky, Ekaterina

    2018-02-01

    The emerging discipline of mathematical pharmacology occupies the space between advanced pharmacometrics and systems biology. A characteristic feature of the approach is application of advance mathematical methods to study the behavior of biological systems as described by mathematical (most often differential) equations. One of the early application of mathematical pharmacology (that was not called this name at the time) was formulation and investigation of the target-mediated drug disposition (TMDD) model and its approximations. The model was shown to be remarkably successful, not only in describing the observed data for drug-target interactions, but also in advancing the qualitative and quantitative understanding of those interactions and their role in pharmacokinetic and pharmacodynamic properties of biologics. The TMDD model in its original formulation describes the interaction of the drug that has one binding site with the target that also has only one binding site. Following the framework developed earlier for drugs with one-to-one binding, this work aims to describe a rigorous approach for working with similar systems and to apply it to drugs that bind to targets with two binding sites. The quasi-steady-state, quasi-equilibrium, irreversible binding, and Michaelis-Menten approximations of the model are also derived. These equations can be used, in particular, to predict concentrations of the partially bound target (RC). This could be clinically important if RC remains active and has slow internalization rate. In this case, introduction of the drug aimed to suppress target activity may lead to the opposite effect due to RC accumulation.

  15. [Drug resistance reversal of HL-60/ADR cells by simultaneous suppression of XIAP and MRP].

    Science.gov (United States)

    Wang, Xiao-Fang; Wang, Chun; Qin, You-Wen; Yan, Shi-Ke; Gao, Yan-Rong

    2006-12-01

    This study was purposed to explore the mechanisms of drug resistance of HL-60/ADR cells and to compare the reversal drug-resistance effects of antisense oligonucleotides (AS ODN) of XIAP (X-linked inhibitor of apoptosis protein) and AS ODNs of MRP (multidrug resistance-associated protein) by use alone or in combination. Reverse transcription-PCR and Western blot were applied to detect the expression of XIAP, BCL-2, MRP and MDR1 in mRNA and protein levels of HL-60 cells and HL-60/ADR cells, respectively. Fully phosphorothioated AS ODN of XIAP and MRP was delivered into HL-60/ADR cells with Lipofectamine 2000 in the form of liposome-ODN complexes alone or in combination. CCK-8 cell viability assay was used to determine the effect of AS ODN of XIAP and MRP used alone or in combination on the chemotherapy sensitivity of HL-60/ADR cells to daunorubicin (DNR). Reverse transcription-PCR and Western blot were applied to examine the changes of XIAP, MRP in mRNA and protein levels respectively. The results showed that MRP and XIAP were both significantly higher in HL-60/ADR cells than those in HL-60 cells. AS ODN of XIAP and MRP down-regulated the expression of XIAP and MRP in HL-60/ADR cells and increased the sensitivity of HL-60/ADR cells to DNR, respectively. AS ODN of XIAP + MRP did not enhance the inhibition expression of XIAP in HL-60/ADR cells but increased the sensitivity of HL-60/ADR cells to DNR significantly as compared with AS ODN of XIAP (P MRP did not increase the concentration of DNR nor enhanced the inhibition expression of MRP in HL-60/ADR cells but increased the sensitivity of HL-60/ADR cells to DNR significantly (P MRP. It is concluded that both XIAP and MRP may be involved in the drug resistance mechanisms of HL-60/ADR cells. Drug-resistance of HL-60/ADR cells can be reversed significantly when antisense oligonucleotides of XIAP and MRP were used in combination.

  16. Beyond Competitive Inhibition: Regulation of ABC Transporters by Kinases and Protein-Protein Interactions as Potential Mechanisms of Drug-Drug Interactions.

    Science.gov (United States)

    Crawford, Rebecca R; Potukuchi, Praveen K; Schuetz, Erin G; Schuetz, John D

    2018-03-07

    ATP-binding cassette (ABC) transporters are transmembrane efflux transporters mediating the extrusion of an array of substrates ranging from amino acids and lipids to xenobiotics, and many therapeutic compounds, including anticancer drugs. The ABC transporters are also recognized as important contributors to pharmacokinetics, especially in drug-drug interactions and adverse drug effects. Drugs and xenobiotics, as well as pathological conditions, can influence the transcription of ABC transporters, or modify their activity or intracellular localization. Kinases can affect the aforementioned processes for ABC transporters as do protein interactions. In this review, we focus on the ABC transporters ABCB1, ABCB11, ABCC1, ABCC4 and ABCG2 and illustrate how kinases and protein-protein interactions affect these transporters. The clinical relevance of these factors is currently unknown, however these examples suggest that our understanding of drug-drug interactions will benefit from further knowledge of how kinases and protein-protein interactions affect ABC transporters. The American Society for Pharmacology and Experimental Therapeutics.

  17. Nuclear galectin-1-FOXP3 interaction dampens the tumor-suppressive properties of FOXP3 in breast cancer.

    Science.gov (United States)

    Gao, Yuan; Li, Xiaoju; Shu, Zhen; Zhang, Kuo; Xue, Xiaochang; Li, Weina; Hao, Qiang; Wang, Zhaowei; Zhang, Wangqian; Wang, Shuning; Zeng, Cheng; Fan, Dong; Zhang, Wei; Zhang, Yingqi; Zhao, Huadong; Li, Meng; Zhang, Cun

    2018-03-16

    FOXP3 is an important X-linked suppressor of breast cancer. It is reported that FOXP3 is usually mutant, absent, or cytoplasmic distribution in breast cancer cells, which increases the risk of breast cancer. However, in our study the full-length FOXP3 transcript can be detected in breast cancer cells and nuclear FOXP3 is expressed in some breast cancer samples. Therefore, an important question is how the tumor-suppressive function of wild-type FOXP3 is negated in these cancers. We found that Gal-1 is a novel interacting protein of FOXP3 in breast cancer. Furthermore, our results show that the FKH domain in FOXP3 is essential for its interaction with Gal-1. Through ChIP-seq assay, we found that the expression of Gal-1 could inhibit a variety of target genes which were directly regulated by FOXP3. More importantly, these FOXP3-bound genes are involved in the development and metastasis of cancer. Furthermore, functional studies revealed that blocking the FOXP3/Gal-1 interaction restores the tumor-suppressive properties of FOXP3 in breast cancer cells. Finally, we observed that the nuclear abundance of Gal-1 was significantly higher in breast cancer tissues than that in adjacent normal tissues. In addition, we identified that the acidic extracellular microenvironment in breast cancer tissues causes Gal-1 to accumulate in the nucleus. Altogether, nuclear Gal-1 interferes with the binding of FOXP3 to DNA by interacting with the FKH domain of FOXP3, and it indicates a possible mechanism for the loss of the tumor-suppressive properties of FOXP3 in wild-type FOXP3-positive breast cancer.

  18. Better specification of triggers to reduce the number of drug interaction alerts in primary care.

    Science.gov (United States)

    Heringa, Mette; van der Heide, Annet; Floor-Schreudering, Annemieke; De Smet, Peter A G M; Bouvy, Marcel L

    2018-01-01

    Drug interaction alerts (drug-drug and drug-disease interaction alerts) for chronic medications substantially contribute to alert fatigue in primary care. The aim of this study was to determine which events require (re)assessment of a drug interaction and whether using these events as triggers in clinical decision support systems (CDSSs) would affect the alert rate. Two random 5% data samples from the CDSSs of 123 community pharmacies were used: dataset 1 and 2. The top 10 of most frequent drug interaction alerts not involving laboratory values were selected. To reach consensus on events that should trigger alerts (e.g. first time dispensing, dose modification) for these drug interactions, a two-step consensus process was used. An expert panel of community pharmacists participated in an online survey and a subsequent consensus meeting. A CDSS with alerts based on the consensus was simulated in both datasets. Dataset 1 and 2 together contained 1,672,169 prescriptions which led to 591,073 alerts. Consensus on events requiring alerts was reached for the ten selected drug interactions. The simulation showed a reduction of the alert rate of 93.0% for the ten selected drug interactions (comparable for dataset 1 and 2), corresponding with a 28.3% decrease of the overall drug interaction alert rate. By consensus-based better specification of the events that trigger drug interaction alerts in primary care, the alert rate for these drug interactions was reduced by over 90%. This promising approach deserves further investigation to assess its consequences and applicability in daily practice. Copyright © 2017 Elsevier B.V. All rights reserved.

  19. Pharmacokinetic drug-drug interactions between calcineurin inhibitors and proliferation signal inhibitors with anti-microbial agents: implications for therapeutic drug monitoring.

    Science.gov (United States)

    Page, Robert L; Mueller, Scott W; Levi, Marilyn E; Lindenfeld, Joann

    2011-02-01

    Infections account for 15% to 20% of deaths in transplant recipients; thus, rapid and appropriate therapeutic intervention is required. However, many anti-microbial agents can interact significantly with a transplant recipient's immunosuppressive regimen, placing them at risk for a potential adverse drug reaction and prolonged hospitalization. This investigation highlights the pharmacokinetic drug-drug interactions between the calcineurin inhibitors and proliferation signal inhibitors with commonly used anti-microbial agents, specifically addressing mechanism, management, onset of action, magnitude of effect and strength of evidence for each interaction. Copyright © 2011 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.

  20. Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions

    KAUST Repository

    Abdelaziz, Ibrahim

    2017-06-12

    Drug-Drug Interactions (DDIs) are a major cause of preventable Adverse Drug Reactions (ADRs), causing a significant burden on the patients’ health and the healthcare system. It is widely known that clinical studies cannot sufficiently and accurately identify DDIs for new drugs before they are made available on the market. In addition, existing public and proprietary sources of DDI information are known to be incomplete and/or inaccurate and so not reliable. As a result, there is an emerging body of research on in-silico prediction of drug-drug interactions. In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction. Tiresias takes in various sources of drug-related data and knowledge as inputs, and provides DDI predictions as outputs. The process starts with semantic integration of the input data that results in a knowledge graph describing drug attributes and relationships with various related entities such as enzymes, chemical structures, and pathways. The knowledge graph is then used to compute several similarity measures between all the drugs in a scalable and distributed framework. In particular, Tiresias utilizes two classes of features in a knowledge graph: local and global features. Local features are derived from the information directly associated to each drug (i.e., one hop away) while global features are learnt by minimizing a global loss function that considers the complete structure of the knowledge graph. The resulting similarity metrics are used to build features for a large-scale logistic regression model to predict potential DDIs. We highlight the novelty of our proposed Tiresias and perform thorough evaluation of the quality of the predictions. The results show the effectiveness of Tiresias in both predicting new interactions among existing drugs as well as newly developed drugs.

  1. GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure.

    Science.gov (United States)

    Hu, Jun; Li, Yang; Yang, Jing-Yu; Shen, Hong-Bin; Yu, Dong-Jun

    2016-02-01

    G-protein-coupled receptors (GPCRs) are important targets of modern medicinal drugs. The accurate identification of interactions between GPCRs and drugs is of significant importance for both protein function annotations and drug discovery. In this paper, a new sequence-based predictor called TargetGDrug is designed and implemented for predicting GPCR-drug interactions. In TargetGDrug, the evolutionary feature of GPCR sequence and the wavelet-based molecular fingerprint feature of drug are integrated to form the combined feature of a GPCR-drug pair; then, the combined feature is fed to a trained random forest (RF) classifier to perform initial prediction; finally, a novel drug-association-matrix-based post-processing procedure is applied to reduce potential false positive or false negative of the initial prediction. Experimental results on benchmark datasets demonstrate the efficacy of the proposed method, and an improvement of 15% in the Matthews correlation coefficient (MCC) was observed over independent validation tests when compared with the most recently released sequence-based GPCR-drug interactions predictor. The implemented webserver, together with the datasets used in this study, is freely available for academic use at http://csbio.njust.edu.cn/bioinf/TargetGDrug. Copyright © 2015 Elsevier Ltd. All rights reserved.

  2. Interactions of dendrimers with biological drug targets: reality or mystery - a gap in drug delivery and development research.

    Science.gov (United States)

    Ahmed, Shaimaa; Vepuri, Suresh B; Kalhapure, Rahul S; Govender, Thirumala

    2016-07-21

    Dendrimers have emerged as novel and efficient materials that can be used as therapeutic agents/drugs or as drug delivery carriers to enhance therapeutic outcomes. Molecular dendrimer interactions are central to their applications and realising their potential. The molecular interactions of dendrimers with drugs or other materials in drug delivery systems or drug conjugates have been extensively reported in the literature. However, despite the growing application of dendrimers as biologically active materials, research focusing on the mechanistic analysis of dendrimer interactions with therapeutic biological targets is currently lacking in the literature. This comprehensive review on dendrimers over the last 15 years therefore attempts to identify the reasons behind the apparent lack of dendrimer-receptor research and proposes approaches to address this issue. The structure, hierarchy and applications of dendrimers are briefly highlighted, followed by a review of their various applications, specifically as biologically active materials, with a focus on their interactions at the target site. It concludes with a technical guide to assist researchers on how to employ various molecular modelling and computational approaches for research on dendrimer interactions with biological targets at a molecular level. This review highlights the impact of a mechanistic analysis of dendrimer interactions on a molecular level, serves to guide and optimise their discovery as medicinal agents, and hopes to stimulate multidisciplinary research between scientific, experimental and molecular modelling research teams.

  3. The role of clinical decision support in pharmacist response to drug-interaction alerts.

    Science.gov (United States)

    Miller, Luke; Steinmetz Pater, Karen; Corman, Shelby

    2015-01-01

    With over 100,000 different types of drug-drug interactions health care professionals rely heavily on automated drug-interaction alerts. Substantial variance in drug-interaction alerts yields opportunities for the use of clinical decision support (CDS) as a potential benefit to pharmacists. The purpose of this research was to determine whether decision support during dispensing impacts pharmacist response to drug-interaction alerts. A brief survey was administered to pharmacists in the community consisting of three patient cases, each containing three drug-drug interactions of varying severity. For each interaction, pharmacists were asked how they would respond, one group of pharmacists was randomly assigned to receive CDS while the other group did not. There were no significant differences in pharmacist response to alerts between the two groups. The control group did appear to be more likely to consult a drug reference, but this difference was not significant. While this study did not demonstrate a significant difference, drug-interaction alerts are still an area where improvements could be made. Advancements have the potential to reduce risk to patients and limit unnecessary hospital admissions. This study suggests that this level of clinical decision support has limited impact, but may prove beneficial by reducing the need to consult additional references. Copyright © 2015 Elsevier Inc. All rights reserved.

  4. A high-speed drug interaction search system for ease of use in the clinical environment.

    Science.gov (United States)

    Takada, Masahiro; Inada, Hiroshi; Nakazawa, Kazuo; Tani, Shoko; Iwata, Michiaki; Sugimoto, Yoshihisa; Nagata, Satoru

    2012-12-01

    With the advancement of pharmaceutical development, drug interactions have become increasingly complex. As a result, a computer-based drug interaction search system is required to organize the whole of drug interaction data. To overcome problems faced with the existing systems, we developed a drug interaction search system using a hash table, which offers higher processing speeds and easier maintenance operations compared with relational databases (RDB). In order to compare the performance of our system and MySQL RDB in terms of search speed, drug interaction searches were repeated for all 45 possible combinations of two out of a group of 10 drugs for two cases: 5,604 and 56,040 drug interaction data. As the principal result, our system was able to process the search approximately 19 times faster than the system using the MySQL RDB. Our system also has several other merits such as that drug interaction data can be created in comma-separated value (CSV) format, thereby facilitating data maintenance. Although our system uses the well-known method of a hash table, it is expected to resolve problems common to existing systems and to be an effective system that enables the safe management of drugs.

  5. Enhanced sensitivity of A549 cells to the cytotoxic action of anticancer drugs via suppression of Nrf2 by procyanidins from Cinnamomi Cortex extract

    Energy Technology Data Exchange (ETDEWEB)

    Ohnuma, Tomokazu; Matsumoto, Takashi; Itoi, Ayano; Kawana, Ayako; Nishiyama, Takahito; Ogura, Kenichiro [Department of Drug Metabolism and Molecular Toxicology, School of Pharmacy, Tokyo University of Pharmacy and Life Sciences, 1432-1 Horinouchi, Hachioji-shi, Tokyo 192-0392 (Japan); Hiratsuka, Akira, E-mail: hiratuka@toyaku.ac.jp [Department of Drug Metabolism and Molecular Toxicology, School of Pharmacy, Tokyo University of Pharmacy and Life Sciences, 1432-1 Horinouchi, Hachioji-shi, Tokyo 192-0392 (Japan)

    2011-10-07

    Highlights: {yields} We found a novel inhibitor of Nrf2 known as a chemoresistance factor. {yields} Overexpressed Nrf2 in lung cancer cells was suppressed by Cinnamomi Cortex extract. {yields} Cytotoxic action of anticancer drugs in cells treated with the extract was enhanced. {yields} Procyanidin tetramers and pentamers were active components in suppressing Nrf2. -- Abstract: Nuclear factor-E2-related factor 2 (Nrf2) is an important cytoprotective transcription factor because Nrf2-regulated enzymes play a key role in antioxidant and detoxification processes. Recent studies have reported that lung cancer cells overexpressing Nrf2 exhibit increased resistance to chemotherapy. Suppression of overexpressed Nrf2 is needed for a new therapeutic approach against lung cancers. In the present study, we found that Cinnamomi Cortex extract (CCE) has an ability to suppress Nrf2-regulated enzyme activity and Nrf2 expression in human lung cancer A549 cells with high Nrf2 activity. Moreover, we demonstrated that CCE significantly enhances sensitivity of A549 cells to the cytotoxic action of doxorubicin and etoposide as well as increasing the intracellular accumulation of both drugs. These results suggest that CCE might be an effective concomitant agent to reduce anticancer drug resistance derived from Nrf2 overexpression. Bioactivity-guided fractionation revealed that procyanidin tetramers and pentamers contained in CCE were active components in suppressing Nrf2.

  6. Identification of putative drug targets for human sperm-egg interaction defect using protein network approach.

    Science.gov (United States)

    Sabetian, Soudabeh; Shamsir, Mohd Shahir

    2015-07-18

    Sperm-egg interaction defect is a significant cause of in-vitro fertilization failure for infertile cases. Numerous molecular interactions in the form of protein-protein interactions mediate the sperm-egg membrane interaction process. Recent studies have demonstrated that in addition to experimental techniques, computational methods, namely protein interaction network approach, can address protein-protein interactions between human sperm and egg. Up to now, no drugs have been detected to treat sperm-egg interaction disorder, and the initial step in drug discovery research is finding out essential proteins or drug targets for a biological process. The main purpose of this study is to identify putative drug targets for human sperm-egg interaction deficiency and consider if the detected essential proteins are targets for any known drugs using protein-protein interaction network and ingenuity pathway analysis. We have created human sperm-egg protein interaction networks with high confidence, including 106 nodes and 415 interactions. Through topological analysis of the network with calculation of some metrics, such as connectivity and betweenness centrality, we have identified 13 essential proteins as putative drug targets. The potential drug targets are from integrins, fibronectins, epidermal growth factor receptors, collagens and tetraspanins protein families. We evaluated these targets by ingenuity pathway analysis, and the known drugs for the targets have been detected, and the possible effective role of the drugs on sperm-egg interaction defect has been considered. These results showed that the drugs ocriplasmin (Jetrea©), gefitinib (Iressa©), erlotinib hydrochloride (Tarceva©), clingitide, cetuximab (Erbitux©) and panitumumab (Vectibix©) are possible candidates for efficacy testing for the treatment of sperm-egg interaction deficiency. Further experimental validation can be carried out to confirm these results. We have identified the first potential list of

  7. The Interactive Seminar: An Educational Approach for Voluntary HIV Testing in a Drug Dependence Treatment Unit.

    Science.gov (United States)

    Sedhom, Laila; And Others

    1994-01-01

    A survey of 118 male patients in a drug dependence treatment unit before and after an interactive seminar with a nonjudgmental professional showed that seminar participants, especially intravenous drug users, had higher rates of voluntary HIV testing than nonparticipants. Drug users who completed detoxification and attended the seminar also had…

  8. Interaction in the Research Interview and Drug-Related Disclosures among Respondents.

    Science.gov (United States)

    Myers, Vincent

    1979-01-01

    Interviewers and respondents judged interview interactions during a survey of drug-related sentiments. Pronounced variability in interviewer-respondent judgements occurred in unanticipated ways related to gender, role, and ethnicity of participants. Positive interaction yielded different respondent cognitions and reports of illicit drug ingestion…

  9. Potential drug-drug interactions in a Brazilian teaching hospital: age-related differences?

    Directory of Open Access Journals (Sweden)

    Daniela Oliveira Melo

    2016-07-01

    Full Text Available This study proposes to measure frequency and to characterize the profile of potential drug interactions (pDDI in a general medicine ward of a teaching hospital. Data about identification and clinical status of patients were extracted from medical records between March to August 2006. The occurrence of pDDI was analyzed using the database monographs Micromedex® DrugReax® System. From 5,336 prescriptions with two or more drugs, 3,097 (58.0% contained pDDI. The frequency of major and well document pDDI was 26.5%. Among 647 patients, 432 (66.8% were exposed to at least one pDDI and 283 (43.7% to major pDDI. The multivariate analysis identified that factors related to higher rates of major pDDI were the same age (p< 0.0001, length of stay (p< 0.0001, prevalence of hypertension [OR=3.42 (p< 0.0001] and diabetes mellitus [OR=2.1 (p< 0.0001], cardiovascular diseases (p< 0.0001 and the number of prescribed drugs (Spearman’s correlation=0.640622, p< 0.0001. Between major pDDI, the main risk was hemorrhage (50.3%, the most frequent major pDDI involved combination of anticoagulants and antiplatelet drugs. Among moderate pDDI, 3,866 (90.8% involved medicines for the treatment of chronic non-communicable diseases, mainly hypertension. In HU-USP, the profile of pDDI was similar among adults and elderly (the most frequent pDDI and major pDDI were same, the difference was only the frequency in either group. The efforts of the clinical pharmacists should be directed to elderly patients with cardiovascular compromise, mainly in use of anticoagulants and antiplatelet drugs. Furthermore, hospital managers should increase the integration between levels of health care to promote safety patient after discharge.Keywords: Drug interactions. Aged. Internal Medicine. Hospitals, University. RESUMOInterações medicamentosas potenciais em um hospital escolar brasileiro: diferenças relacionadas à idade?O estudo tem por objetivo descrever o perfil de intera

  10. Review of pharmacological interactions of oral anticancer drugs provided at pharmacy department

    Directory of Open Access Journals (Sweden)

    E. Sánchez Gómez

    2014-07-01

    Full Text Available Abstract: Objective: To identify the pharmacologic interactions of oral anti-cancer drugs provided at an outpatient clinic. Material and methods: Anti-cancer drugs included in the Phamacotherapeutic Guideline of the Hospital were identified. A literature search was carried out on the pharmacologic interactions in MEDLINE® and EMBASE® (with the filer language English or Spanish, and the descriptors: “name of the anti-cancer drug” AND (“drug interactions” OR “pharmacokinetic”, Up-to-date®, MICROMEDEX® and the drug information sheet for the EMA and the FDA. Information was also gathered from the abstract presented to European and Spanish scientific meetings for the last 4 years. When an interaction was analyzed and had clinical relevance, the best pharmacotherapeutic interaction-free alternative was sought. Results: Twenty-three drugs were identified, of which Chlorambucil, Fludarabine, Lenalidomide, Melphalan, and Thalidomide were the active compounds with the lowest likelihood of producing a pharmacologic interaction. Tyrosine kinase inhibitors (particularly Erlotinib, Imatinib, Lapatinib, and Pazopanib are the drugs with highest number of pharmacologic interactions described, many of them with severe clinical consequences, with increases and decreases of the plasma levels of anti-cancer drugs. The active compounds identified that may have pharmacologic interactions with anticancer drugs were mainly: Allopurinol, Amiodarone, Carbamazepine, Dabigatran, Digoxin, Spironolactone, Phenytoin, Itraconazol, Repaglinide, Silodosin, Tamoxifen, Verapamil, and Warfarin. Pharmacologic interactions through the cytochrome P450 1A2, 2D6, 2C8, 2C9, 3A4 were the most important for tyrosine kinase inhibitors. Other non-pharmacologic compounds, with an important potential of producing relevant pharmacologic interaction were immunomodulators (Echinacea extracts and Hypericum perforatum. Conclusions: Oral anticancer drugs have numerous pharmacologic

  11. iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking.

    Directory of Open Access Journals (Sweden)

    Xuan Xiao

    Full Text Available Involved in many diseases such as cancer, diabetes, neurodegenerative, inflammatory and respiratory disorders, G-protein-coupled receptors (GPCRs are among the most frequent targets of therapeutic drugs. It is time-consuming and expensive to determine whether a drug and a GPCR are to interact with each other in a cellular network purely by means of experimental techniques. Although some computational methods were developed in this regard based on the knowledge of the 3D (dimensional structure of protein, unfortunately their usage is quite limited because the 3D structures for most GPCRs are still unknown. To overcome the situation, a sequence-based classifier, called "iGPCR-drug", was developed to predict the interactions between GPCRs and drugs in cellular networking. In the predictor, the drug compound is formulated by a 2D (dimensional fingerprint via a 256D vector, GPCR by the PseAAC (pseudo amino acid composition generated with the grey model theory, and the prediction engine is operated by the fuzzy K-nearest neighbour algorithm. Moreover, a user-friendly web-server for iGPCR-drug was established at http://www.jci-bioinfo.cn/iGPCR-Drug/. For the convenience of most experimental scientists, a step-by-step guide is provided on how to use the web-server to get the desired results without the need to follow the complicated math equations presented in this paper just for its integrity. The overall success rate achieved by iGPCR-drug via the jackknife test was 85.5%, which is remarkably higher than the rate by the existing peer method developed in 2010 although no web server was ever established for it. It is anticipated that iGPCR-Drug may become a useful high throughput tool for both basic research and drug development, and that the approach presented here can also be extended to study other drug - target interaction networks.

  12. Use of acid-suppressive drugs in pregnancy and the risk of childhood asthma : Bidirectional case-crossover study using the general practice research database

    NARCIS (Netherlands)

    Hak, Eelko; Mulder, Bianca; Schuiling-Veninga, Nynke C. M.; De Vries, Tjalling W.; Jick, Susan S.

    2013-01-01

    Background: Recent studies have reported an association between maternal use of gastric acid-suppressive drugs during pregnancy and asthma in the offspring, but the association could have been confounded by unmeasured risk factors. Objectives: To assess the association between the use of

  13. Use of Acid-Suppressive Drugs in Pregnancy and the Risk of Childhood Asthma : Bidirectional Crossover Study using the General Practice Research Database

    NARCIS (Netherlands)

    Hak, Eelko; Mulder, Bianca; Schuiling-Veninga, Catharina C. M.; de Vries, Tjalling W.; Jick, Susan S.

    2013-01-01

    Background Recent studies have reported an association between maternal use of gastric acid-suppressive drugs during pregnancy and asthma in the offspring, but the association could have been confounded by unmeasured risk factors. Objective We assessed the association between the use of

  14. Acid-suppressive drug use during pregnancy and the risk of atopic dermatitis : A crossover study within the clinical practice research database

    NARCIS (Netherlands)

    Mulder, Bianca; Hak, Eelko; Schuiling-Veninga, Catharina C.M.; De Vries, Tjalling W.; Jick, Susan S.

    2014-01-01

    Background: One previous study of our group reported that acid suppressive drug use during pregnancy is associated with an increased risk for the development of atopic dermatitis in children. However, reported associations could have been confounded by unmeasured risk factors. Objectives: The aim of

  15. Transporter-mediated natural product-drug interactions for the treatment of cardiovascular diseases.

    Science.gov (United States)

    Zha, Weibin

    2018-04-01

    The growing use of natural products in cardiovascular (CV) patients has been greatly raising the concerns about potential natural product-CV drug interactions. Some of these may lead to unexpected cardiovascular adverse effects and it is, therefore, essential to identify or predict potential natural product-CV drug interactions, and to understand the underlying mechanisms. Drug transporters are important determinants for the pharmacokinetics of drugs and alterations of drug transport has been recognized as one of the major causes of natural product-drug interactions. In last two decades, many CV drugs (e.g., angiotensin II receptor blockers, beta-blockers and statins) have been identified to be substrates and inhibitors of the solute carrier (SLC) transporters and the ATP-binding cassette (ABC) transporters, which are two major transporter superfamilies. Meanwhile, in vitro and in vivo studies indicate that a growing number of natural products showed cardioprotective effects (e.g., gingko biloba, danshen and their active ingredients) are also substrates and inhibitors of drug transporters. Thus, to understand transporter-mediated natural product-CV drug interactions is important and some transporter-mediated interactions have already shown to have clinical relevance. In this review, we review the current knowledge on the role of ABC and SLC transporters in CV therapy, as well as transporter modulation by natural products used in CV diseases and their induced natural product-CV drug interactions through alterations of drug transport. We hope our review will aid in a comprehensive summary of transporter-mediated natural product-CV drug interactions and help public and physicians understand these type of interactions. Copyright © 2017. Published by Elsevier B.V.

  16. Crop characteristics and weed Interactions of diverse Rrecurrent Inbred Lines (RILs) from a weed-suppressive x non-suppressive rice mapping population

    Science.gov (United States)

    ndica rice genotypes with enhanced weed suppression traits have been previously identified as potentially useful in supplementing weed control efforts in drill-seeded systems in the southern USA. A particularly weed-suppressive indica genotype (PI 312777) that was also high tillering and high yield...

  17. Interactions of Rosiglitazone and Anti‑Arrhythmic Drugs in Animal ...

    African Journals Online (AJOL)

    Department of Pharmacy, Jawaharlal Nehru Technology University, Andhra Pradesh, India, 1Karlsruhe School of Optics and. Photonics ... prolonged use of anti‑diabetic drugs for diabetes and anti‑arrhythmic drugs for cardiac arrhythmias ... a new statistical methodology for analyzing the blood glucose endpoint. Keywords: ...

  18. Puppet Play as Interactive Approach in Drug Abuse Prevention

    Science.gov (United States)

    Nenadic-Bilan, Diana; Vigato, Teodora

    2010-01-01

    The national strategies of drug abuse prevention across Europe have come to recognise that the drug abuse problem presents a complex set of issues of which there is no simple solution. There is a considerable increase in investment in prevention, treatment and harm-reduction activities and increased focus on supply reduction. School settings are…

  19. Summative interaction between astaxanthin, Ginkgo biloba extract (EGb761) and vitamin C in suppression of respiratory inflammation: a comparison with ibuprofen.

    Science.gov (United States)

    Haines, David D; Varga, Balazs; Bak, Istvan; Juhasz, Bela; Mahmoud, Fadia F; Kalantari, Heybatullah; Gesztelyi, Rudolf; Lekli, Istvan; Czompa, Attila; Tosaki, Arpad

    2011-01-01

    In this study, combinations of Ginkgo biloba leaf extract (EGb761) plus the carotenoid antioxidant astaxanthin (ASX) and vitamin C were evaluated for a summative dose effect in the inhibition of asthma-associated inflammation in asthmatic guinea-pigs. Ovalbumin-sensitized Hartley guinea-pigs challenged with ovalbumin aerosol to induce asthma, were administered EGb761, ASX, vitamin C or ibuprofen. Following killing, bronchoalveolar lavage (BAL) fluid was evaluated for inflammatory cell infiltrates and lung tissue cyclic nucleotide content. Each parameter measured was significantly altered to a greater degree by drug combinations, than by each component acting independently. An optimal combination was identified that included astaxanthin (10 mg/kg), vitamin C (200 mg/kg) and EGb761 (10 mg/kg), resulting in counts of eosinophils and neutrophils each 1.6-fold lower; macrophages 1.8-fold lower, cAMP 1.4-fold higher; and cGMP 2.04-fold higher than levels in untreated, asthmatic animals (p ASX and vitamin C are shown here to interact summatively to suppress inflammation with efficacy equal to or better than ibuprofen, a widely used non-steroidal antiinflammatory drug (NSAID). Such combinations of non-toxic phytochemicals constitute powerful tools for the prevention of onset of acute and chronic inflammatory disease if consumed regularly by healthy individuals; and may also augment the effectiveness of therapy for those with established illness. Copyright © 2010 John Wiley & Sons, Ltd.

  20. Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces.

    Science.gov (United States)

    Xia, Zheng; Wu, Ling-Yun; Zhou, Xiaobo; Wong, Stephen T C

    2010-09-13

    Predicting drug-protein interactions from heterogeneous biological data sources is a key step for in silico drug discovery. The difficulty of this prediction task lies in the rarity of known drug-protein interactions and myriad unknown interactions to be predicted. To meet this challenge, a manifold regularization semi-supervised learning method is presented to tackle this issue by using labeled and unlabeled information which often generates better results than using the labeled data alone. Furthermore, our semi-supervised learning method integrates known drug-protein interaction network information as well as chemical structure and genomic sequence data. Using the proposed method, we predicted certain drug-protein interactions on the enzyme, ion channel, GPCRs, and nuclear receptor data sets. Some of them are confirmed by the latest publicly available drug targets databases such as KEGG. We report encouraging results of using our method for drug-protein interaction network reconstruction which may shed light on the molecular interaction inference and new uses of marketed drugs.

  1. Interaction of coenzyme Q10 with the intestinal drug transporter P-glycoprotein.

    Science.gov (United States)

    Itagaki, Shirou; Ochiai, Akiko; Kobayashi, Masaki; Sugawara, Mitsuru; Hirano, Takeshi; Iseki, Ken

    2008-08-27

    In clinical trials, patients usually take many kinds of drugs at the same time. Thus, drug-drug interactions can often directly affect the therapeutic safety and efficacy of many drugs. Oral delivery is the most desirable means of drug administration. Changes in the activity of drug transporters may substantially influence the absorption of administered drugs from the intestine. However, there have been a few studies on food-drug interactions involving transporters. It is important to be aware of the potential of food-drug interactions and to act in order to prevent undesirable and harmful clinical consequences. Coenzyme Q10 (CoQ10) is very widely consumed by humans as a food supplement because of its recognition by the public as an important nutrient in supporting human health. Since intestinal efflux transporter P-glycoprotein (P-gp) is one of the major factors in drug-drug interactions, we focused on this transporter. We report here for the first time that CoQ10, which is widely used as a food supplement, affects the transport activity of P-gp.

  2. Modal interaction and vibration suppression in industrial turbines using adjustable journal bearings

    Science.gov (United States)

    Chasalevris, Athanasios; Dohnal, Fadi

    2016-09-01

    The vibration suppression by deliberately introducing a parametric excitation in the fluid-film bearings is investigated for an industrial turbine rotor system. A journal bearing with variable adjustable geometry is operated in such a way that the effective stiffness and damping properties vary periodically in time. The proposed bearing is designed for having the ability of changing the bearing fluid film thickness in a semi-active manner. Such an adjustment of the journal bearing properties introduces in the system a time-periodic variation of the effective stiffness and damping properties of the fluid-film. If the time-periodicity is tuned properly to match a parametric anti-resonance, vibration suppression is achieved in the overall system. The paper presents the principle of operation of the recently developed bearings. The simulation of an industrial turbine rotor-bearing shaft line at induced parametric excitation motivates the further development and application of such bearings since the vibration amplitudes are considerably decreased in critical speeds.

  3. Assessment of pharmacokinetic drug-drug interaction between pradigastat and atazanavir or probenecid.

    Science.gov (United States)

    Mendonza, Anisha; Hanna, Imad; Meyers, Dan; Koo, Phillip; Neelakantham, Srikanth; Zhu, Bing; Majumdar, Tapan; Rebello, Sam; Sunkara, Gangadhar; Chen, Jin

    2016-03-01

    Pradigastat, a novel diacylglycerol acyltransferase-1 inhibitor, has activity in common metabolic diseases associated with abnormal accumulation of triglycerides. In vitro studies suggest that glucuronidation is the predominant metabolism pathway for elimination of pradigastat in humans and confirmed the role of uridine 5'-diphosphoglucuronosyltransferase (UGT) enzymes, UGT1A1, -1A3, and -2B7. The in vitro studies using atazanavir as a selective inhibitor of UGT1A1 and -1A3 indicated that these enzymes contribute ∼55% toward the overall glucuronidation pathway. Therefore, a clinical study was conducted to assess the potential for drug interaction between pradigastat and probenecid (purported general UGT inhibitor) or atazanavir (selective UGT1A1, -1A3 inhibitor). The study included 2 parallel cohorts, each with 3 sequential treatment periods and 22 healthy subjects per cohort. The 90%CI of the geometric mean ratios for Cmax,ss and AUCτ,ss of pradigastat were within 0.80-1.25 when administered in combination with probenecid. However, the Cmax,ss and AUCτ,ss of pradigastat decreased by 31% (90%CI: 0.62-0.78) and 26% (0.67-0.82), respectively, when administered in combination with atazanavir. This magnitude of decrease in pradigastat steady-state exposure is not considered clinically relevant. Pradigastat was well tolerated by all subjects, either alone or in combination with atazanavir or probenecid. © 2015, The American College of Clinical Pharmacology.

  4. Searching for Drug Synergy in Complex Dose-Response Landscapes Using an Interaction Potency Model.

    Science.gov (United States)

    Yadav, Bhagwan; Wennerberg, Krister; Aittokallio, Tero; Tang, Jing

    2015-01-01

    Rational design of multi-targeted drug combinations is a promising strategy to tackle the drug resistance problem for many complex disorders. A drug combination is usually classified as synergistic or antagonistic, depending on the deviation of the observed combination response from the expected effect calculated based on a reference model of non-interaction. The existing reference models were proposed originally for low-throughput drug combination experiments, which make the model assumptions often incompatible with the complex drug interaction patterns across various dose pairs that are typically observed in large-scale dose-response matrix experiments. To address these limitations, we proposed a novel reference model, named zero interaction potency (ZIP), which captures the drug interaction relationships by comparing the change in the potency of the dose-response curves between individual drugs and their combinations. We utilized a delta score to quantify the deviation from the expectation of zero interaction, and proved that a delta score value of zero implies both probabilistic independence and dose additivity. Using data from a large-scale anticancer drug combination experiment, we demonstrated empirically how the ZIP scoring approach captures the experimentally confirmed drug synergy while keeping the false positive rate at a low level. Further, rather than relying on a single parameter to assess drug interaction, we proposed the use of an interaction landscape over the full dose-response matrix to identify and quantify synergistic and antagonistic dose regions. The interaction landscape offers an increased power to differentiate between various classes of drug combinations, and may therefore provide an improved means for understanding their mechanisms of action toward clinical translation.

  5. Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Model

    Science.gov (United States)

    Yadav, Bhagwan; Wennerberg, Krister; Aittokallio, Tero; Tang, Jing

    2015-01-01

    Rational design of multi-targeted drug combinations is a promising strategy to tackle the drug resistance problem for many complex disorders. A drug combination is usually classified as synergistic or antagonistic, depending on the deviation of the observed combination response from the expected effect calculated based on a reference model of non-interaction. The existing reference models were proposed originally for low-throughput drug combination experiments, which make the model assumptions often incompatible with the complex drug interaction patterns across various dose pairs that are typically observed in large-scale dose–response matrix experiments. To address these limitations, we proposed a novel reference model, named zero interaction potency (ZIP), which captures the drug interaction relationships by comparing the change in the potency of the dose–response curves between individual drugs and their combinations. We utilized a delta score to quantify the deviation from the expectation of zero interaction, and proved that a delta score value of zero implies both probabilistic independence and dose additivity. Using data from a large-scale anticancer drug combination experiment, we demonstrated empirically how the ZIP scoring approach captures the experimentally confirmed drug synergy while keeping the false positive rate at a low level. Further, rather than relying on a single parameter to assess drug interaction, we proposed the use of an interaction landscape over the full dose–response matrix to identify and quantify synergistic and antagonistic dose regions. The interaction landscape offers an increased power to differentiate between various classes of drug combinations, and may therefore provide an improved means for understanding their mechanisms of action toward clinical translation. PMID:26949479

  6. Potential drug–drug interactions in Alzheimer patients with behavioral symptoms

    Directory of Open Access Journals (Sweden)

    Pasqualetti G

    2015-09-01

    Full Text Available Giuseppe Pasqualetti, Sara Tognini, Valeria Calsolaro, Antonio Polini, Fabio Monzani Geriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy Abstract: The use of multi drug regimens among the elderly population has increased tremendously over the last decade although the benefits of medications are always accompanied by potential harm, even when prescribed at recommended doses. The elderly populations are particularly at an increased risk of adverse drug reactions considering comorbidity, poly-therapy, physiological changes affecting the pharmacokinetics and pharmacodynamics of many drugs and, in some cases, poor compliance due to cognitive impairment and/or depression. In this setting, drug–drug interaction may represent a serious and even life-threatening clinical condition. Moreover, the inability to distinguish drug-induced symptoms from a definitive medical diagnosis often results in addition of yet another drug to treat the symptoms, which in turn increases drug–drug interactions. Cognitive enhancers, including acetylcholinesterase inhibitors and memantine, are the most widely prescribed agents for Alzheimer’s disease (AD patients. Behavioral and psychological symptoms of dementia, including psychotic symptoms and behavioral disorders, represent noncognitive disturbances frequently observed in AD patients. Antipsychotic drugs are at high risk of adverse events, even at modest doses, and may interfere with the progression of cognitive impairment and interact with several drugs including anti-arrhythmics and acetylcholinesterase inhibitors. Other medications often used in AD patients are represented by anxiolytic, like benzodiazepine, or antidepressant agents. These agents also might interfere with other concomitant drugs through both pharmacokinetic and pharmacodynamic mechanisms. In this review we focus on the most frequent drug–drug interactions, potentially harmful, in AD patients with

  7. Hydrophilic interaction chromatography with a focus on the drug-phosphate interaction in drug screening to determine the phospholipidosis induction risk.

    Science.gov (United States)

    Okamoto, Haruka; Hamaguchi, Ryohei; Kuroda, Yukihiro

    2017-04-15

    Cationic amphiphilic drugs (CADs) can induce the hyperaccumulation of phospholipids in cells and tissues. This side effect, which is known as drug-induced phospholipidosis, is sometimes problematic in the development and clinical use of CADs. It is known that CADs generally interact with phospholipids via both hydrophobic and acid-base interactions, and CADs with the larger affinity to phospholipid exhibit the larger induction risk. To develop a chromatographic assay system to predict the phospholipidosis-inducing potential with considering the acid-base interaction between CAD and phosphate group of phospholipid, hydrophilic interaction chromatographic (HILIC) methods were tested in this study. First, a PC HILIC column with phosphocholine groups on a packed material was used. The acid-base or other hydrophilic interactions to the stationary phase differed among basic drugs, and retention to the PC HILIC column did not accurately reflect the induction potential of phospholipidosis. As an alternative HILIC approach, the elution of CADs with the phosphate buffer from an amide column was tested. The elution effect, which is expressed as ratio of retention factors between different phosphate content in the mobile phase, closely correlated with the induction potential. Using the elution effect and retention factor to a reversed-phase HPLC column, the phospholipidosis-inducing drugs were clearly discriminated from the non-inducers. These results suggest that the proposed chromatographic approach can screen phospholipidosis-inducing drugs. Copyright © 2017 Elsevier B.V. All rights reserved.

  8. C-type natriuretic peptide inhibits leukocyte recruitment and platelet-leukocyte interactions via suppression of P-selectin expression

    Science.gov (United States)

    Scotland, Ramona S.; Cohen, Marc; Foster, Paul; Lovell, Matthew; Mathur, Anthony; Ahluwalia, Amrita; Hobbs, Adrian J.

    2005-10-01

    The multifaceted process of immune cell recruitment to sites of tissue injury is key to the development of an inflammatory response and involved in the pathogenesis of numerous cardiovascular disorders. We recently identified C-type natriuretic peptide (CNP) as an important endothelium-derived mediator that regulates vascular tone and protects against myocardial ischemia/reperfusion injury. Herein, we investigated whether CNP inhibits leukocyte recruitment and platelet aggregation and thereby exerts a potential antiinflammatory influence on the blood vessel wall. We assessed the effects of CNP on leukocyte-endothelial cell interactions in mouse mesenteric postcapillary venules in vivo in animals with high basal leukocyte activation (endothelial nitric oxide synthase knockout mice, eNOS-/-) or under acute inflammatory conditions (induced by interleukin-1 or histamine). CNP suppressed basal leukocyte rolling in eNOS-/- mice in a rapid, reversible, and concentration-dependent manner. These effects of CNP were mimicked by the selective natriuretic peptide receptor-C agonist cANF4-23. CNP also suppressed leukocyte rolling induced by IL-1 or histamine, inhibited platelet-leukocyte interactions, and prevented thrombin-induced platelet aggregation of human blood. Furthermore, analysis of human umbilical vein endothelial cells, leukocytes, and platelets revealed that CNP selectively attenuates expression of P-selectin. Thus, CNP is a modulator of acute inflammation in the blood vessel wall characterized by leukocyte and platelet activation. These antiinflammatory effects appear to be mediated, at least in part, via suppression of P-selectin expression. These observations suggest that endothelial CNP might maintain an anti-atherogenic influence on the blood vessel wall and represent a target for therapeutic intervention in inflammatory cardiovascular disorders. endothelium | natriuretic peptide receptor type C | atherosclerosis | thrombosis

  9. In vitro drug interaction of levocetirizine and diclofenac: Theoretical and spectroscopic studies.

    Science.gov (United States)

    Abo Dena, Ahmed S; Abdel Gaber, Sara A

    2017-06-15

    Levocetirizine dihydrochloride is known to interact with some anti-inflammatory drugs. We report here a comprehensive integrated theoretical and experimental study for the in vitro drug interaction between levocetirizine dihydrochloride (LEV) and diclofenac sodium (DIC). The interaction of the two drugs was confirmed by the molecular ion peak obtained from the mass spectrum of the product. Moreover, FTIR and 1 HNMR spectra of the individual drugs and their interaction product were inspected to allocate the possible sites of interaction. In addition, quantum mechanical DFT calculations were performed to search for the interaction sites and to verify the types of interactions deduced from the spectroscopic studies such as charge-transfer and non-bonding π-π interactions. It was found that the studied drugs interact with each other in aqueous solution via four types of interactions, namely, ion-pair formation, three weak hydrogen bonds, non-bonding π-π interactions and charge-transfer from DIC to LEV. Copyright © 2017 Elsevier B.V. All rights reserved.

  10. Targeting mesothelin receptors with drug-loaded bacterial nanocells suppresses human mesothelioma tumour growth in mouse xenograft models.

    Directory of Open Access Journals (Sweden)

    Mohamed A Alfaleh

    Full Text Available Human malignant mesothelioma is a chemoresistant tumour that develops from mesothelial cells, commonly associated with asbestos exposure. Malignant mesothelioma incidence rates in European countries are still rising and Australia has one of the highest burdens of malignant mesothelioma on a population basis in the world. Therapy using systemic delivery of free cytotoxic agents is associated with many undesirable side effects due to non-selectivity, and is thus dose-limited which limits its therapeutic potential. Therefore, increasing the selectivity of anti-cancer agents has the potential to dramatically enhance drug efficacy and reduce toxicity. EnGeneIC Dream Vectors (EDV are antibody-targeted nanocells which can be loaded with cytotoxic drugs and delivered to specific cancer cells via bispecific antibodies (BsAbs which target the EDV and a cancer cell-specific receptor, simultaneously. BsAbs were designed to target doxorubicin-loaded EDVs to cancer cells via cell surface mesothelin (MSLN. Flow cytometry was used to investigate cell binding and induction of apoptosis, and confocal microscopy to visualize internalization. Mouse xenograft models were used to assess anti-tumour effects in vivo, followed by immunohistochemistry for ex vivo evaluation of proliferation and necrosis. BsAb-targeted, doxorubicin-loaded EDVs were able to bind to and internalize within mesothelioma cells in vitro via MSLN receptors and induce apoptosis. In mice xenografts, the BsAb-targeted, doxorubicin-loaded EDVs suppressed the tumour growth and also decreased cell proliferation. Thus, the use of MSLN-specific antibodies to deliver encapsulated doxorubicin can provide a novel and alternative modality for treatment of mesothelioma.

  11. Cognitive enhancers (Nootropics). Part 3: drugs interacting with targets other than receptors or enzymes. Disease-modifying drugs. Update 2014.

    Science.gov (United States)

    Froestl, Wolfgang; Pfeifer, Andrea; Muhs, Andreas

    2014-01-01

    Scientists working in the field of Alzheimer's disease and, in particular, cognitive enhancers, are very productive. The review "Drugs interacting with Targets other than Receptors or Enzymes. Disease-modifying Drugs" was accepted in October 2012. In the last 20 months, new targets for the potential treatment of Alzheimer's disease were identified. Enormous progress was realized in the pharmacological characterization of natural products with cognitive enhancing properties. This review covers the evolution of research in this field through May 2014.

  12. Evaluation of Drug Interactions and Prescription Errors of Poultry Veterinarians in North of Iran

    Directory of Open Access Journals (Sweden)

    Madadi MS

    2014-03-01

    Full Text Available Drug prescription errors are a common cause of adverse incidents and may lead to adverse outcomes, sometimes in subtle ways, being compounded by circumstances or further errors. Therefore, it is important that veterinarians issue the correct drug at the correct dose. Using two or more prescribed drugs may lead to drug interactions. Some drug interactions are very harmful and may have potential threats to the patient's health that is called antagonism. In a survey study, medication errors of 750 prescriptions, including dosage errors and drug interactions were studied. The results indicated that 20.8% of prescriptions had at least one drug interaction. The most interactions were related to antibiotics (69.1%, Sulfonamides (46.7%, Methenamine (46.7% and Florfenicol (20.2%. Analysis of dosage errors indicated that total drugs consumed by broilers in the summer are more than winter seasons. Based on these results, avoiding medication errors are important in the balanced prescribing of drugs and regular education of veterinary practitioners in a certain interval is needed.

  13. A New Search Method Using Association Rule Mining for Drug-Drug Interaction Based on Spontaneous Report System.

    Science.gov (United States)

    Noguchi, Yoshihiro; Ueno, Anri; Otsubo, Manami; Katsuno, Hayato; Sugita, Ikuto; Kanematsu, Yuta; Yoshida, Aki; Esaki, Hiroki; Tachi, Tomoya; Teramachi, Hitomi

    2018-01-01

    Background: Adverse events (AEs) can be caused not only by one drug but also by the interaction between two or more drugs. Therefore, clarifying whether an AE is due to a specific suspect drug or drug-drug interaction (DDI) is useful information for proper use of drugs. Whereas previous reports on the search for drug-induced AEs with signal detection using spontaneous reporting systems (SRSs) are numerous, reports on drug interactions are limited. This is because in methods that use "a safety signal indicator" (signal), which is frequently used in pharmacovigilance, a huge number of combinations must be prepared when signal detection is performed, and each risk index must be calculated, which makes interaction search appear unrealistic. Objective: In this paper, we propose association rule mining (AR) using large dataset analysis as an alternative to the conventional methods (additive interaction model (AI) and multiplicative interaction model (MI)). Methods: The data source used was the Japanese Adverse Drug Event Report database. The combination of drugs for which the risk index is detected by the "combination risk ratio (CR)" as the target was assumed to be true data, and the accuracy of signal detection using the AR methods was evaluated in terms of sensitivity, specificity, Youden's index, F -score. Results: Our experimental results targeting Stevens-Johnson syndrome indicate that AR has a sensitivity of 99.05%, specificity of 92.60%, Youden's index of 0.917, F -score of 0.876, AI has a sensitivity of 95.62%, specificity of 96.92%, Youden's index of 0.925, and F -score of 0.924, and MI has a sensitivity of 65.46%, specificity of 98.78%, Youden's index of 0.642, and F -score of 0.771. This result was about the same level as or higher than the conventional method. Conclusions: If you use similar calculation methods to create combinations from the database, not only for SJS, but for all AEs, the number of combinations would be so enormous that it would be

  14. Characterization of the interaction forces in a drug carrier complex of doxorubicin with a drug-binding peptide.

    Science.gov (United States)

    Gocheva, Gergana; Ilieva, Nina; Peneva, Kalina; Ivanova, Anela

    2018-04-01

    Polypeptide-based materials are used as building blocks for drug delivery systems aimed at toxicity decrease in chemotherapeutics. A molecular-level approach is adopted for investigating the non-covalent interactions between doxorubicin and a recently synthesized drug-binging peptide as a key part of a system for delivery to neoplastic cells. Molecular dynamics simulations in aqueous solution at room and body temperature are applied to investigate the structure and the binding modes within the drug-peptide complex. The tryptophans are outlined as the main chemotherapeutic adsorption sites, and the importance of their placement in the peptide sequence is highlighted. The drug-peptide binging energy is evaluated by density functional theory calculations. Principal component analysis reveals comparable importance of several types of interaction for the binding strength. π-Stacking is dominant, but other factors are also significant: intercalation, peptide backbone stacking, electrostatics, dispersion, and solvation. Intra- and intermolecular H-bonding also stabilizes the complexes. The influence of solvent molecules on the binding energy is mild. The obtained data characterize the drug-to-peptide attachment as a mainly attractive collective process with interactions spanning a broad range of values. These results explain with atomistic detail the experimentally registered doxorubicin-binging ability of the peptide and outline the complex as a prospective carrying unit that can be employed in design of drug delivery systems. © 2017 John Wiley & Sons A/S.

  15. The prevalence of major potential drug-drug interactions at a University health centre pharmacy in Jamaica

    Directory of Open Access Journals (Sweden)

    Kennedy-Dixon T

    2015-12-01

    Full Text Available Objective: To identify major potential drug-drug interactions (DDIs on prescriptions filled at the University Health Centre Pharmacy, Mona Campus, Jamaica. Methods: This investigation utilised a cross-sectional analysis on all prescriptions with more than one drug that were filled at the Health Centre Pharmacy between November 2012 and February 2013. Potential DDIs were identified using the online Drug Interactions Checker database of Drugs.com. Results: During the period of the study, a total of 2814 prescriptions were analysed for potential DDIs. The prevalence of potential DDIs found during the study period was 49.82%. Major potential DDIs accounted for 4.7 % of the total number of interactions detected, while moderate potential DDIs and minor potential DDIs were 80.8 % and 14.5 % respectively. The three most frequently occurring major potential DDIs were amlodipine and simvastatin (n=46, amiloride and losartan (n=27 and amiloride and lisinopril (n=16. Conclusion: This study has highlighted the need for educational initiatives to ensure that physicians and pharmacists collaborate in an effort to minimise the risks to the patients. These interactions are avoidable for the most part, as the use of online tools can facilitate the selection of therapeutic alternatives or guide decisions for closer patient monitoring and thus reduce the risks of adverse events.

  16. Concomitant medication polypharmacy, interactions and imperfect adherence are common in Australian adults on suppressive antiretroviral therapy

    NARCIS (Netherlands)

    Siefried, Krista J; Mao, Limin; Cysique, Lucette A; Rule, John; Giles, Michelle L; Smith, Don E; McMahon, James E.; Read, Tim R; Ooi, Catriona; Tee, Ban K; Bloch, Mark; de Wit, John|info:eu-repo/dai/nl/06883652X; Carr, Andrew

    2018-01-01

    OBJECTIVES: We quantified concomitant medication polypharmacy, pharmacokinetic and pharmacodynamic interactions, adverse effects and adherence in Australian adults on effective antiretroviral therapy. DESIGN: Cross-sectional. METHODS: Patients recruited into a nationwide cohort and assessed for

  17. In vivo evaluation of drug-drug interactions linked to UGT inhibition: the effect of probenecid on dalcetrapib pharmacokinetics.

    Science.gov (United States)

    Aceves Baldó, Pau; Anzures-Cabrera, Judith; Bentley, Darren

    2013-03-01

    To assess the effect of the UGT inhibitor probenecid on the pharmacokinetics of dalcetrapib, an investigational drug whose pharmacologically active thiol form undergoes glucuronidation (fm UGT ≥ 0.25). A two-way crossover study in 20 healthy subjects. Subjects received a single 600 mg dose of dalcetrapib with or without probenecid (500 mg 4 times daily for 6 days). AUC∞ and Cmax of dalcetrapib thiol were increased by 14% and 21%, respectively, by co-administration of probenecid. This case study illustrates the difficulty in predicting clinically relevant drug-drug interactions for UGT substrates based only on the fraction metabolized by glucuronidation.

  18. DGIdb 3.0: a redesign and expansion of the drug-gene interaction database.

    Science.gov (United States)

    Cotto, Kelsy C; Wagner, Alex H; Feng, Yang-Yang; Kiwala, Susanna; Coffman, Adam C; Spies, Gregory; Wollam, Alex; Spies, Nicholas C; Griffith, Obi L; Griffith, Malachi

    2017-11-16

    The drug-gene interaction database (DGIdb, www.dgidb.org) consolidates, organizes and presents drug-gene interactions and gene druggability information from papers, databases and web resources. DGIdb normalizes content from 30 disparate sources and allows for user-friendly advanced browsing, searching and filtering for ease of access through an intuitive web user interface, application programming interface (API) and public cloud-based server image. DGIdb v3.0 represents a major update of the database. Nine of the previously included 24 sources were updated. Six new resources were added, bringing the total number of sources to 30. These updates and additions of sources have cumulatively resulted in 56 309 interaction claims. This has also substantially expanded the comprehensive catalogue of druggable genes and anti-neoplastic drug-gene interactions included in the DGIdb. Along with these content updates, v3.0 has received a major overhaul of its codebase, including an updated user interface, preset interaction search filters, consolidation of interaction information into interaction groups, greatly improved search response times and upgrading the underlying web application framework. In addition, the expanded API features new endpoints which allow users to extract more detailed information about queried drugs, genes and drug-gene interactions, including listings of PubMed IDs, interaction type and other interaction metadata. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  19. Food-drug interactions precipitated by fruit juices other than grapefruit juice: An update review.

    Science.gov (United States)

    Chen, Meng; Zhou, Shu-Yi; Fabriaga, Erlinda; Zhang, Pian-Hong; Zhou, Quan

    2018-04-01

    This review addressed drug interactions precipitated by fruit juices other than grapefruit juice based on randomized controlled trials (RCTs). Literature was identified by searching PubMed, Cochrane Library, Scopus and Web of Science till December 30 2017. Among 46 finally included RCTs, six RCTs simply addressed pharmacodynamic interactions and 33 RCTs studied pharmacokinetic interactions, whereas seven RCTs investigated both pharmacokinetic and pharmacodynamic interactions. Twenty-two juice-drug combinations showed potential clinical relevance. The beneficial combinations included orange juice-ferrous fumarate, lemon juice- 99m Tc-tetrofosmin, pomegranate juice-intravenous iron during hemodialysis, cranberry juice-triple therapy medications for H. pylori, blueberry juice-etanercept, lime juice-antimalarials, and wheat grass juice-chemotherapy. The potential adverse interactions included decreased drug bioavailability (apple juice-fexofenadine, atenolol, aliskiren; orange juice-aliskiren, atenolol, celiprolol, montelukast, fluoroquinolones, alendronate; pomelo juice-sildenafil; grape juice-cyclosporine), increased bioavailability (Seville orange juice-felodipine, pomelo juice-cyclosporine, orange-aluminum containing antacids). Unlike furanocoumarin-rich grapefruit juice which could primarily precipitate drug interactions by strong inhibition of cytochrome P450 3A4 isoenzyme and P-glycoprotein and thus cause deadly outcomes due to co-ingestion with some medications, other fruit juices did not precipitate severely detrimental food-drug interaction despite of sporadic case reports. The extent of a juice-drug interaction may be associated with volume of drinking juice, fruit varieties, type of fruit, time between juice drinking and drug intake, genetic polymorphism in the enzymes or transporters and anthropometric variables. Pharmacists and health professionals should properly screen for and educate patients about potential adverse juice-drug interactions and help

  20. Organ Impairment—Drug–Drug Interaction Database: A Tool for Evaluating the Impact of Renal or Hepatic Impairment and Pharmacologic Inhibition on the Systemic Exposure of Drugs

    Science.gov (United States)

    Yeung, CK; Yoshida, K; Kusama, M; Zhang, H; Ragueneau-Majlessi, I; Argon, S; Li, L; Chang, P; Le, CD; Zhao, P; Zhang, L; Sugiyama, Y; Huang, S-M

    2015-01-01

    The organ impairment and drug–drug interaction (OI-DDI) database is the first rigorously assembled database of pharmacokinetic drug exposure data from publicly available renal and hepatic impairment studies presented together with the maximum change in drug exposure from drug interaction inhibition studies. The database was used to conduct a systematic comparison of the effect of renal/hepatic impairment and pharmacologic inhibition on drug exposure. Additional applications are feasible with the public availability of this database. PMID:26380158

  1. The anti-diabetic drug metformin suppresses self-renewal and proliferation of trastuzumab-resistant tumor-initiating breast cancer stem cells.

    Science.gov (United States)

    Vazquez-Martin, Alejandro; Oliveras-Ferraros, Cristina; Del Barco, Sonia; Martin-Castillo, Begoña; Menendez, Javier A

    2011-04-01

    We here demonstrate that the anti-diabetic drug metformin interacts synergistically with the anti-HER2 monoclonal antibody trastuzumab (Tzb; Herceptin™) to eliminate stem/progenitor cell populations in HER2-gene-amplified breast carcinoma cells. When using the mammosphere culture technique, graded concentrations of single-agent metformin (range 50-1,000 μmol/l) were found to dose-dependently reduce the number of mammospheres formed by SKBR3 (a Tzb-naïve model), SKBR3 TzbR (a model of acquired auto-resistance to Tzb) and JIMT-1 (a model of refractoriness to Tzb and other HER2-targeted therapies ab initio) HER2-overexpressing breast cancer cells. Single-agent Tzb likewise reduced mammosphere-forming efficiency (MSFE) in Tzb-naïve SKBR3 cells, but it failed to significantly decrease MSFE in Tzb-resistant SKBR3 TzbR and JIMT-1 cells. Of note, CD44-overexpressing Tzb-refractory SKBR3 TzbR and JIMT-1 cells retained an exquisite sensitivity to single-agent metformin. Concurrent combination of metformin with Tzb synergistically reduced MSFE as well as the size of mammospheres in Tzb-refractory SKBR3 TzbR and JIMT-1 cells. Flow cytometry analyses confirmed that metformin and Tzb functioned synergistically to down-regulate the percentage of Tzb-refractory JIMT-1 cells displaying the CD44(pos)/CD24(neg/low) stem/progenitor immunophenotype. Given that MSFE and mammosphere size are indicators of stem self-renewal and progenitor cell proliferation, respectively, our current findings reveal for the first time that: (a) Tzb refractoriness in HER2 overexpressors can be explained in terms of Tzb-resistant/CD44-overexpressing/tumor-initiating stem cells; (b) metformin synergistically interacts with Tzb to suppress self-renewal and proliferation of cancer stem/progenitor cells in HER2-positive carcinomas.

  2. Possible drug-drug interaction between high-dose esomeprazole and phenprocoumon.

    Science.gov (United States)

    Becker, M L; Franken, W P J; Karapinar, F; Verzijl-Zeegers, R; Schalekamp, T; van der Hoeven, R T M

    2015-12-01

    It is established that omeprazole increases (R)+ warfarin levels with around 10 %. Whether (es)omeprazole also increase the plasma levels of acenocoumarol or phenprocoumon is still uncertain. We analyzed whether addition of (es)omeprazole to acenocoumarol or phenprocoumon increases the international normalized ratio (INR) levels and the risk of overanticoagulation. We analyzed all hospital admissions in four teaching hospitals. Patients who used coumarins and pantoprazole or (es)omeprazole simultaneously for at least four consecutive days were included in the study. We analyzed the highest INR level and whether patients had an INR level above six. We compared patients using omeprazole or esomeprazole with patients using pantoprazole, because for pantoprazole, no interaction has been reported. We analyzed 5747 admissions with 4540 patients using one of the drug combinations. For acenocoumarol (4578 admissions), no significant differences were found between users of esomeprazole, omeprazole, and pantoprazole. For phenprocoumon (1169 admissions), the highest INR measured was significantly higher in users of esomeprazole than in users of pantoprazole (4.7 versus 4.3; p = 0.035). No significant difference was found with omeprazole versus pantoprazole (4.3 versus 4.3; p = 0.66). A non-significant association was found between the esomeprazole dose and the highest INR level (p = 0.055). The risk of an INR above six did not differ significantly between esomeprazole and pantoprazole (27.7 % versus 22.9 %; p = 0.34). The use of esomeprazole simultaneously with phenprocoumon during hospital admissions might increase the anticoagulant effect. The clinical relevance seems to be limited, because no statistically significant increased risk of overanticoagulation was found.

  3. Determination of correlation times from selective and non-selective spin-lattice relaxation rates and their use in drug-drug and drug-albumin interaction studies

    Directory of Open Access Journals (Sweden)

    Tinoco Luzineide Wanderley

    1999-01-01

    Full Text Available The effects of the changes in sample concentration on the NMR chemical shifts and on the selective and non-selective spin-lattice relaxation rates (R1S and R1NS of the three isomers of nitrobenzaldeyde guanyl hydrazone (NBGH pure and with bovine serum albumin (BSA were measured in solution. The results wereused to determine the correlation times (tauc, showing that the degree of intermolecular drug-drug association varies with the nitro group position on the ring and that this degree of association interferes with the interaction of these drugs with BSA. The results suggest that the degree of drug-drug and drug-BSA association are related to the in vitro anti-Trypanosoma cruzi activity of these compounds.

  4. Molecular interaction fingerprint approaches for GPCR drug discovery

    NARCIS (Netherlands)

    Vass, M.; Kooistra, A.J.; Ritschel, T.; Leurs, R.; Esch, I.J. de; Graaf, C. de

    2016-01-01

    Protein-ligand interaction fingerprints (IFPs) are binary 1D representations of the 3D structure of protein-ligand complexes encoding the presence or absence of specific interactions between the binding pocket amino acids and the ligand. Various implementations of IFPs have been developed and

  5. Cardiovascular drug trials: how to examine interaction, and why so

    NARCIS (Netherlands)

    Cleophas, T. J.; Zwinderman, A. H.; van Ouwerkerk, B.; Sobh, M.

    2007-01-01

    Background: In practice the benefit of cardiovascular medicines is less consistent than it is in clinical trials. This is due to multiple uncontrolled factors that co-determine the efficacy of the new treatment. In statistical terms, they interact with the new treatment. Interaction effects are

  6. Herb-Drug Interaction between the Traditional Hepatoprotective Formulation and Sorafenib on Hepatotoxicity, Histopathology and Pharmacokinetics in Rats

    Directory of Open Access Journals (Sweden)

    Chin-Tsung Ting

    2017-06-01

    Full Text Available Sorafenib has been used as a standard therapy for advanced hepatocellular carcinoma (HCC. In Asia, patients with HCC are potentially treated with the combination of sorafenib and Chinese herbal medicines to improve the efficiency and reduce the side effects of sorafenib. However, limited information about the herb-drug interactions is available. We hypothesize that the Chinese herbal medicine may exert hepatoprotective effects on the sorafenib-treated group. The aim of this study is to investigate the pharmacokinetic mechanism of drug-drug interactions of sorafenib including interacting with hepatoprotective formulation, Long-Dan-Xie-Gan-Tang formulation (LDXGT and with two cytochrome P450 3A4 (CYP3A4 inhibitors, grapefruit juice and ketoconazole. Liver enzyme levels and histopathology of liver slices were used to evaluate sorafenib-induced hepatotoxicity and the potential hepatoprotective effects of the LDXGT formulation on subjects treated with the combination of sorafenib and the herbal medicine. In this study, a validated HPLC-photodiode array analytical system was developed for the pharmacokinetic study of sorafenib in rats. As the result of the pharmacokinetic data, pretreatment with the LDXGT formulation did not significantly interact with sorafenib compared with sorafenib oral administration alone. Furthermore, grapefruit juice and ketoconazole did not significantly affect sorafenib metabolism. Furthermore, pretreatment with variable, single or repeat doses of the LDXGT formulation did not suppress or exacerbate the sorafenib-induced hepatotoxicity and histopathological alterations. According to these results, the LDXGT formulation is safe, but has no beneficial effects on sorafenib-induced hepatotoxicity. A detailed clinical trial should be performed to further evaluate the efficacy or adverse effects of the LDXGT formulation in combination with sorafenib in humans.

  7. Exploiting Large-Scale Drug-Protein Interaction Information for Computational Drug Repurposing

    Science.gov (United States)

    2014-06-20

    The primary reason for this was that 6 out of the 11 malaria drugs shared the same mechanism of action. They con- sisted of quinine , a natural product...lated to quinine , the original malaria drug. They (amodia- quine, mefloquine, chloroquine, hydroxychloroquine, and primaquine) are synthetic analogs of... quinine and therefore structurally very similar to it. Molecular structures of the hypertension, HIV, and malaria drugs are given in Additional file 1

  8. Drug-target interaction prediction via class imbalance-aware ensemble learning.

    Science.gov (United States)

    Ezzat, Ali; Wu, Min; Li, Xiao-Li; Kwoh, Chee-Keong

    2016-12-22

    Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use available data on known drug-target interactions to train classifiers with the purpose of predicting new undiscovered interactions. However, a key challenge regarding this data that has not yet been addressed by these methods, namely class imbalance, is potentially degrading the prediction performance. Class imbalance can be divided into two sub-problems. Firstly, the number of known interacting drug-target pairs is much smaller than that of non-interacting drug-target pairs. This imbalance ratio between interacting and non-interacting drug-target pairs is referred to as the between-class imbalance. Between-class imbalance degrades prediction performance due to the bias in prediction results towards the majority class (i.e. the non-interacting pairs), leading to more prediction errors in the minority class (i.e. the interacting pairs). Secondly, there are multiple types of drug-target interactions in the data with some types having relatively fewer members (or are less represented) than others. This variation in representation of the different interaction types leads to another kind of imbalance referred to as the within-class imbalance. In within-class imbalance, prediction results are biased towards the better represented interaction types, leading to more prediction errors in the less represented interaction types. We propose an ensemble learning method that incorporates techniques to address the issues of between-class imbalance and within-class imbalance. Experiments show that the proposed method improves results over 4 state-of-the-art methods. In addition, we simulated cases for new drugs and targets to see how our method would perform in predicting their interactions. New drugs and targets are those for which no prior interactions are known. Our method displayed satisfactory prediction performance and was

  9. Radiation Interaction with Therapeutic Drugs and Cell Membranes

    International Nuclear Information System (INIS)

    Martin, Diana I.; Manaila, Elena N.; Matei, Constantin I.; Iacob, Nicusor I.; Ighigeanu, Daniel I.; Craciun, Gabriela D.; Moisescu, Mihaela I.; Savopol, Tudor D.; Kovacs, Eugenia A.; Cinca, Sabin A.; Margaritescu, Irina D.

    2007-01-01

    This transient permeabilized state of the cell membrane, named the 'cell electroporation' (CE) can be used to increase cells uptake of drugs that do not readily pass cell membrane, thus enabling their cytotoxicity. The anticancer drugs, such as bleomycin (BL) and cisplatin, are the most candidates for the combined use with ionizing and non-ionizing radiation fields. The methods and installations for the cell electroporation by electron beam (EB) and microwave (MW) irradiation are presented. The viability tests of the human leukocytes under EB and MW exposure with/without the BL in the cell cultures are discussed

  10. Medicinal plant reported with adverse reactions in Cuba: potential interactions with conventional drugs

    Directory of Open Access Journals (Sweden)

    Ioanna Martínez

    2015-04-01

    Full Text Available Context: Herbal drugs are a mixture of active compounds and the chemical complexity of each formulation increase with the possibility of interactions between them and conventional drugs. Many mechanisms are implicated in the interactions; scientific community has dedicated the attentions to enzymes as P-gp and CYP450. Aims: To investigate in the literature the principal plants with suspicions of adverse reactions in Cuba and their potential interactions with conventional drugs. Methods: PubMed was the database used as source of information until February 2014. Key words: Herb-Drug, Drug-Plant, Herbal–Drug, Interactions with scientific names of plants was used. Information was structured and analysed with EndNote X4. Analysis and integration of the information: Allium sativum L. (garlic was the plant with the high number of studies related with CYP450 and P-gp. Plants with great demand as Morinda citrifolia L. (noni, Psidium guajava L. (guayaba, Zingiber officinale Roscoe (ginger and Eucalyptus spp. (eucalyptus have a very small number of studies. The professionals of the health should keep in mind the possibility of interactions between herbal products and conventional drugs to increase the effectiveness of phytotherapy. Conclusions: It is necessary enhance reports and investigations and to put to disposition of the system of health information on the interactions of plants and to stimulate the investigation that offers information for the rational use of our medicinal plants.

  11. Kidney-on-a-Chip: a New Technology for Predicting Drug Efficacy, Interactions, and Drug-induced Nephrotoxicity.

    Science.gov (United States)

    Lee, Jeonghwan; Kim, Sejoong

    2018-03-08

    The kidneys play a pivotal role in most drug-removal processes and are important when evaluating drug safety. Kidney dysfunction resulting from various drugs is an important issue in clinical practice and during the drug development process. Traditional in vivo animal experiments are limited with respect to evaluating drug efficacy and nephrotoxicity due to discrepancies in drug pharmacokinetics and pharmacodynamics between humans and animals, and static cell culture experiments cannot fully reflect the actual microphysiological environment in humans. A kidney-on-a-chip is a microfluidic device that allows the culture of living renal cells in 3-dimensional channels and mimics the human microphysiological environment, thus simulating the actual drug filtering, absorption, and secretion process.. In this review, we discuss recent developments in microfluidic culturing technique and describe current and future kidney-on-a-chip applications. We focus on pharmacological interactions and drug-induced nephrotoxicity, and additionally discuss the development of multi-organ chips and their possible applications. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  12. Relationship between hunger, adherence to antiretroviral therapy and plasma HIV RNA suppression among HIV-positive illicit drug users in a Canadian setting.

    Science.gov (United States)

    Anema, Aranka; Kerr, Thomas; Milloy, M-J; Feng, Cindy; Montaner, Julio S G; Wood, Evan

    2014-04-01

    Food insecurity may be a barrier to achieving optimal HIV treatment-related outcomes among illicit drug users. This study therefore, aimed to assess the impact of severe food insecurity, or hunger, on plasma HIV RNA suppression among illicit drug users receiving antiretroviral therapy (ART). A cross-sectional Multivariate logistic regression model was used to assess the potential relationship between hunger and plasma HIV RNA suppression. A sample of n = 406 adults was derived from a community-recruited open prospective cohort of HIV-positive illicit drug users, in Vancouver, British Columbia (BC), Canada. A total of 235 (63.7%) reported "being hungry and unable to afford enough food," and 241 (59.4%) had plasma HIV RNA hunger was associated with lower odds of plasma HIV RNA suppression (Odds Ratio = 0.59, 95% confidence interval [CI]: 0.39-0.90, p = 0.015). In multivariate analyses, this association was no longer significant after controlling for socio-demographic, behavioral, and clinical characteristics, including 95% adherence (Adjusted Odds Ratio [AOR] = 0.65, 95% CI: 0.37-1.10, p = 0.105). Multivariate models stratified by 95% adherence found that the direction and magnitude of this association was not significantly altered by the adherence level. Hunger was common among illicit drug users in this setting. Although, there was an association between hunger and lower likelihood of plasma HIV RNA suppression, this did not persist in adjusted analyses. Further research is warranted to understand the social-structural, policy, and physical factors shaping the HIV outcomes of illicit drug users.

  13. Physical and Functional Interactions between ELL2 and RB in the Suppression of Prostate Cancer Cell Proliferation, Migration, and Invasion

    Directory of Open Access Journals (Sweden)

    Xiaonan Qiu

    2017-03-01

    Full Text Available Elongation factor, RNA polymerase II, 2 (ELL2 is expressed and regulated by androgens in the prostate. ELL2 and ELL-associated factor 2 (EAF2 form a stable complex, and their orthologs in Caenorhabditis elegans appear to be functionally similar. In C. elegans, the EAF2 ortholog eaf-1 was reported to interact with the retinoblastoma (RB pathway to control development and fertility in worms. Because RB loss is frequent in prostate cancer, ELL2 interaction with RB might be important for prostate homeostasis. The present study explored physical and functional interaction of ELL2 with RB in prostate cancer. ELL2 expression in human prostate cancer specimens was detected using quantitative polymerase chain reaction coupled with laser capture microdissection. Co-immunoprecipitation coupled with deletion mutagenesis was used to determine ELL2 association with RB. Functional interaction between ELL2 and RB was tested using siRNA knockdown, BrdU incorporation, Transwell, and/or invasion assays in LNCaP, C4-2, and 22Rv1 prostate cancer cells. ELL2 expression was downregulated in high–Gleason score prostate cancer specimens. ELL2 could be bound and stabilized by RB, and this interaction was mediated through the N-terminus of ELL2 and the C-terminus of RB. Concurrent siRNA knockdown of ELL2 and RB enhanced cell proliferation, migration, and invasion as compared to knockdown of ELL2 or RB alone in prostate cancer cells. ELL2 and RB can interact physically and functionally to suppress prostate cancer progression.

  14. Modeling of interaction of multiple vent pipes in a pressure suppression pool

    Energy Technology Data Exchange (ETDEWEB)

    Timperi, A.; Chauhan, M.; Paettikangas, T.; Niemi, J. (VTT Technical Research Centre of Finland (Finland))

    2012-04-15

    Calculations of direct-contact condensation in the pressure suppression pool have been performed. Partial pressure model for the condensation of pure vapor is used for the condensation, which makes possible modeling of the condensation of pure vapor. The heat and mass transfer during condensation is studied in detail for experiment PAR-10 in the PPOOLEX facility. The rapid collapse of a steam bubble in PPOOLEX experiment COL-01 has been analyzed with the new Eulerian model of Abaqus. By observing the collapse behavior, the pressure variation inside the bubble was fitted with the experiment. The effect of system size on the pressure peak was also examined; these results can be used for studying more thoroughly the scaling of the experimental results to full-scale in future. The desynchronization of chugging events in the two vent experiment PAR-10 was studied. The statistical distribution of desynchronization was determined from the measured pressure data and compared to results obtained in a seven vent pipe experiment found from literature. The response of BWR containment during desynchronized chugging events and with varying speeds of sound was numerically computed using direct time integration and modal dynamics procedure available in Abaqus. (Author)

  15. Fluid-structure interaction in BWR suppression pool systems. Final report

    International Nuclear Information System (INIS)

    Nickell, R.E.

    1979-09-01

    The discharge of safety relief valves or a severe loss-of-coolant event in a boiling-water-cooled reactor steam supply system triggers a complex pressure suppression system that is based upon sub-surface steam condensation in large pools of water. The physical problems fall into two categories. The first is referred to as vent clearing and describes the process of expelling non-condensables from the system prior to steam flow. The second category covers a variety of phenomena related to the transient overexpansion of a condensable volume and the subsequent inertially-driven volume decrease. The dynamic loading of either event, depending upon fluid-structural design parameters, can be of concern in safety analysis. This report describes the development of a method for calculating the loads and the structural response for both types of problems. The method is embedded in a computer code, called PELE-IC, that couples a two-dimensional, incompressible eulerian fluid algorithm to a finite element shell algorithm. The fluid physics is based upon the SOLA algorithm, which provideds a trial velocity field using the Navier-Stokes equations that is subsequently corrected iteratively so that incompressibility, fluid-structure interface compatibility, and boundary conditions are satisfied. These fluid and fluid-structure algorithms have been extensively verified through calculations of known solutions from the classical literature, and by comparison to air and steam blowdown experiments

  16. Stabilization of protein-protein interactions in drug discovery.

    Science.gov (United States)

    Andrei, Sebastian A; Sijbesma, Eline; Hann, Michael; Davis, Jeremy; O'Mahony, Gavin; Perry, Matthew W D; Karawajczyk, Anna; Eickhoff, Jan; Brunsveld, Luc; Doveston, Richard G; Milroy, Lech-Gustav; Ottmann, Christian

    2017-09-01

    PPIs are involved in every disease and specific modulation of these PPIs with small molecules would significantly improve our prospects of developing therapeutic agents. Both industry and academia have engaged in the identification and use of PPI inhibitors. However in comparison, the opposite strategy of employing small-molecule stabilizers of PPIs is underrepresented in drug discovery. Areas covered: PPI stabilization has not been exploited in a systematic manner. Rather, this concept validated by a number of therapeutically used natural products like rapamycin and paclitaxel has been shown retrospectively to be the basis of the activity of synthetic molecules originating from drug discovery projects among them lenalidomide and tafamidis. Here, the authors cover the growing number of synthetic small-molecule PPI stabilizers to advocate for a stronger consideration of this as a drug discovery approach. Expert opinion: Both the natural products and the growing number of synthetic molecules show that PPI stabilization is a viable strategy for drug discovery. There is certainly a significant challenge to adapt compound libraries, screening techniques and downstream methodologies to identify, characterize and optimize PPI stabilizers, but the examples of molecules reviewed here in our opinion justify these efforts.

  17. Drug and Contact Lens Interactions | Muntingh | South African ...

    African Journals Online (AJOL)

    "A patient who damages or loses his or her expensive hydrophilic contact lens will be annoyed - but the complaint will be much louder if the damage is caused by drugs without appropriate warning". This opening sentence from a short article by DV Ingram from the Sussex Eye Hospital, is indicative of a potential problem for ...

  18. Clinical Pharmacokinetic Interactions between Herbal Supplements and Anticancer Drugs

    NARCIS (Netherlands)

    Goey, A.K.L.

    2013-01-01

    In cancer treatment the response to chemotherapy is often characterized by a wide interpatient variability. The increasing popularity of herbal supplements among cancer patients may contribute to this phenomenon. Since these supplements may affect drug metabolizing cytochrome P450 (CYP) enzymes,

  19. Regulation of drug-metabolizing enzymes in infectious and inflammatory disease: implications for biologics-small molecule drug interactions.

    Science.gov (United States)

    Mallick, Pankajini; Taneja, Guncha; Moorthy, Bhagavatula; Ghose, Romi

    2017-06-01

    Drug-metabolizing enzymes (DMEs) are primarily down-regulated during infectious and inflammatory diseases, leading to disruption in the metabolism of small molecule drugs (smds), which are increasingly being prescribed therapeutically in combination with biologics for a number of chronic diseases. The biologics may exert pro- or anti-inflammatory effect, which may in turn affect the expression/activity of DMEs. Thus, patients with infectious/inflammatory diseases undergoing biologic/smd treatment can have complex changes in DMEs due to combined effects of the disease and treatment. Areas covered: We will discuss clinical biologics-SMD interaction and regulation of DMEs during infection and inflammatory diseases. Mechanistic studies will be discussed and consequences on biologic-small molecule combination therapy on disease outcome due to changes in drug metabolism will be highlighted. Expert opinion: The involvement of immunomodulatory mediators in biologic-SMDs is well known. Regulatory guidelines recommend appropriate in vitro or in vivo assessments for possible interactions. The role of cytokines in biologic-SMDs has been documented. However, the mechanisms of drug-drug interactions is much more complex, and is probably multi-factorial. Studies aimed at understanding the mechanism by which biologics effect the DMEs during inflammation/infection are clinically important.

  20. Herb-drug interaction of Andrographis paniculata (Nees) extract and andrographolide on pharmacokinetic and pharmacodynamic of naproxen in rats.

    Science.gov (United States)

    Balap, Aishwarya; Lohidasan, Sathiyanarayanan; Sinnathambi, Arulmozhi; Mahadik, Kakasaheb

    2017-01-04

    Andrographis paniculata Nees (Acanthacae) have broad range of pharmacological effects such as hepatoprotective, antifertility, antimalarial, antidiabetic, suppression of various cancer cells and anti-inflammatory properties and is widely used medicinal plant in the traditional Unani and Ayurvedic medicinal systems. Andrographolide (AN) is one of the active constituent of the A. paniculata Nees extract (APE). They have been found in many traditional herbal formulations in India and proven to be effective as anti-inflammatory drug. To evaluate the pharmacokinetic and pharmacodynamic (anti arthritic) herb-drug interactions of A. paniculata Nees extract (APE) and pure andrographolide (AN) with naproxen (NP) after oral co-administration in wistar rats. After oral co-administration of APE (200mg/Kg) and AN (60mg/kg) with NP (7.5mg/kg) in rats, drug concentrations in plasma were determined using HPLC method. The main pharmacokinetic parameters of C max , t max , t 1/2 , MRT, Vd, CL, and AUC were calculated by non-compartment model. Change in paw volume, mechanical nociceptive threshold, mechanical hyperalgesia, histopathology and hematological parameters were evaluated to study antiarthritic activity. Co-administration of NP with APE and pure AN decreased systemic exposure level of NP in vivo. The C max , t max, AUC 0-t of NP was decreased. In pharmacodynamic study, NP (10mg/kg) alone and NP+AN (10+60mg/kg) groups exhibited significant synergistic anti-arthritic activity as compared to groups NP+APE, APE and AN alone. The results obtained from this study suggested that NP, APE and pure AN existed pharmacokinetic herb-drug interactions in rat which is correlated with anti-arthritic study. The knowledge regarding possible herb-drug interaction of NP might be helpful for physicians as well as patients using AP. So further studies should be done to understand the effect of other herbal ingredients of APE on NP as well as to predict the herb-drug interaction in humans

  1. Drug interaction s in the constituents of street drug mixture“Nyaope ...

    African Journals Online (AJOL)

    Nyaope is a unique South African street drug mixture thought to contain illicit drugs and other compounds and is usually inhaled after wrapping in the Cannabis leaf. Despite its illegalization in March 2014, abuse of Nyaope is on the increase. While highly addictive, withdrawal symptoms are very severe, unbearable and ...

  2. Drug-drug interaction between valproic acid and meropenem: a retrospective analysis of electronic medical records from neurosurgery inpatients.

    Science.gov (United States)

    Wen, Z-P; Fan, S-S; Du, C; Yin, T; Zhou, B-T; Peng, Z-F; Xie, Y-Y; Zhang, W; Chen, Y; Xiao, J; Chen, X-P

    2017-04-01

    A series of studies have indicated that valproic acid (VPA) plasma concentration decreased rapidly when used concomitantly with carbapenem antibiotics, including meropenem (MEPM), imipenem and panipenem, which may increase the risk of seizure breakthrough. However, the cause for the change in VPA pharmacokinetics is unclear. A retrospective analysis of VPA therapeutic drug monitoring (TDM) records was performed to investigate this VPA pharmacokinetics drug-drug interaction. Three hundred and eighty one VPA TDM records from the Department of Neurosurgery of Xiangya Hospital from January 2012 to December 2014 were collected. The VPA TDM records were categorized by VPA and MEPM daily dosages in grams/day (g/day). A comparison of VPA plasma levels among different groups was performed to investigate the change in VPA level in this drug interaction. Remarkable decreases in VPA plasma level were observed when the drug was used concomitantly with MEPM in both 1.2 g/d and 1.6 g/d VPA groups (67·3 ± 4·6 μg/mL, n = 21 vs. 15·3 ± 1·9 μg/mL, n = 15, P drug concentration cannot be reversed by increasing VPA dose. Moreover, MEPM daily dose did not influence the drop in VPA plasma level. At least 7 days are required for the recovery of VPA plasma concentration after discontinuation of MEPM. © 2017 John Wiley & Sons Ltd.

  3. Cognitive enhancers (nootropics). Part 3: drugs interacting with targets other than receptors or enzymes. disease-modifying drugs.

    Science.gov (United States)

    Froestl, Wolfgang; Pfeifer, Andrea; Muhs, Andreas

    2013-01-01

    Cognitive enhancers (nootropics) are drugs to treat cognition deficits in patients suffering from Alzheimer's disease, schizophrenia, stroke, attention deficit hyperactivity disorder, or aging. Cognition refers to a capacity for information processing, applying knowledge, and changing preferences. It involves memory, attention, executive functions, perception, language, and psychomotor functions. The term nootropics was coined in 1972 when memory enhancing properties of piracetam were observed in clinical trials. In the meantime, hundreds of drugs have been evaluated in clinical trials or in preclinical experiments. To classify the compounds, a concept is proposed assigning drugs to 19 categories according to their mechanism(s) of action, in particular drugs interacting with receptors, enzymes, ion channels, nerve growth factors, re-uptake transporters, antioxidants, metal chelators, and disease modifying drugs, meaning small molecules, vaccines, and monoclonal antibodies interacting with amyloid-β and tau. For drugs, whose mechanism of action is not known, they are either classified according to structure, e.g., peptides, or their origin, e.g., natural products. The review covers the evolution of research in this field over the last 25 years.

  4. Time-dependent Drug–Drug Interaction Alerts in Care Provider Order Entry: Software May Inhibit Medication Error Reductions

    OpenAIRE

    van der Sijs, Heleen; Lammers, Laureen; van den Tweel, Annemieke; Aarts, Jos; Berg, Marc; Vulto, Arnold; van Gelder, Teun

    2009-01-01

    Time-dependent drug–drug interactions (TDDIs) are drug combinations that result in a decreased drug effect due to coadministration of a second drug. Such interactions can be prevented by separately administering the drugs. This study attempted to reduce drug administration errors due to overridden TDDIs in a care provider order entry (CPOE) system. In four periods divided over two studies, logged TDDIs were investigated by reviewing the time intervals prescribed in the CPOE and recorded on th...

  5. Frequency of potential interactions between drugs in medical prescriptions in a city in southern Brazil

    Directory of Open Access Journals (Sweden)

    Genici Weyh Bleich

    Full Text Available CONTEXT AND OBJECTIVE: Drug interactions form part of current clinical practice and they affect between 3 and 5% of polypharmacy patients. The aim of this study was to identify the frequency of potential drug-drug interactions in prescriptions for adult and elderly patients. TYPE OF STUDY AND SETTING: Cross-sectional pharmacoepidemiological survey in the Parque Verde housing project, municipality of Cascavel, Paraná, Brazil, between December 2006 and February 2007. METHODS: Stratified cluster sampling, proportional to the total number of homes in the housing project, was used. The sample consisted of 95 homes and 96 male or female patients aged 19 or over, with medical prescriptions for at least two pharmaceutical drugs. Interactions were identified using DrugDigest, Medscape and Micromedex softwares. RESULTS: Most of the patients were female (69.8%, married (59.4% and in the age group of 60 years or over (56.3%, with an income less than or equal to three minimum monthly salaries (81.3% and less than eight years of schooling (69.8%; 90.6% of the patients were living with another person. The total number of pharmaceutical drugs was 406 (average of 4.2 medications per patient. The drugs most prescribed were antihypertensives (47.5%. The frequency of drug interactions was 66.6%. Among the 154 potential drug interactions, 4.6% were classified as major, 65.6% as moderate and 20.1% as minor. CONCLUSION: The high frequency of drug prescriptions with a potential for differentiated interactions indicates a situation that has so far been little explored, albeit a reality in household surveys.

  6. Evaluation of drug interactions in patients treated with antidepressants at a tertiary care cancer center.

    Science.gov (United States)

    Lal, Lincy Subha; Zhuang, Amy; Hung, Frank; Feng, Chun; Arbuckle, Rebecca; Fisch, Michael J

    2012-05-01

    We evaluated potential drug interactions in patients treated with antidepressants at a tertiary care cancer center to determine if it affects resource utilization. We identified a cohort of patients with continuous care at the study institution by tagging patients who received at least three prescriptions for antidepressants within a continuous 6-month period. Data collected included demographics, cancer type and comorbidities, resource utilization (hospital and emergency room visits), and potential major drug interactions. Descriptive statistics and logistic regression were utilized in the analysis. The study population, which included 297 patients, was 70% female and 71% Caucasian; the mean age was 53 years (SD, 12 years), with a mean follow-up period (duration of therapy) of 403 days. Overall, 145 (49%) of the patients had a drug combination that could result in a potential major drug interaction with antidepressants. There were 118 (40%) patients with a potential major drug interaction that could lead to serotonin syndrome symptoms and 59 (20%) patients with a potential major drug interaction with anticoagulants. Potential major drug interactions were associated with an increased number of hospital and ER visits (odds ratio [OR], 2.37; 95% confidence interval [CI], 1.39-4.03). This finding was consistent for the two subanalysis groups as well, serotonin syndrome-inducing drugs (OR, 2.28; 95% CI, 1.33-3.92) and anticoagulants (OR, 3.66; 95% CI, 1.85-7.22). Potential drug interactions are frequent in patients receiving antidepressants in a tertiary care cancer center and are associated with an increase in resource utilization.

  7. Hyperfine-Interaction-Driven Suppression of Quantum Tunneling at Zero Field in a Holmium(III) Single-Ion Magnet.

    Science.gov (United States)

    Chen, Yan-Cong; Liu, Jun-Liang; Wernsdorfer, Wolfgang; Liu, Dan; Chibotaru, Liviu F; Chen, Xiao-Ming; Tong, Ming-Liang

    2017-04-24

    An extremely rare non-Kramers holmium(III) single-ion magnet (SIM) is reported to be stabilized in the pentagonal-bipyramidal geometry by a phosphine oxide with a high energy barrier of 237(4) cm -1 . The suppression of the quantum tunneling of magnetization (QTM) at zero field and the hyperfine structures originating from field-induced QTMs can be observed even from the field-dependent alternating-current magnetic susceptibility in addition to single-crystal hysteresis loops. These dramatic dynamics were attributed to the combination of the favorable crystal-field environment and the hyperfine interactions arising from 165 Ho (I=7/2) with a natural abundance of 100 %. © 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

  8. Hyperfine-interaction-driven suppression of quantum tunneling at zero field in a holmium(III) single-ion magnet

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Yan-Cong; Liu, Jun-Liang; Chen, Xiao-Ming; Tong, Ming-Liang [Key Lab. of Bioinorganic and Synthetic Chemistry of Ministry of Education, School of Chemistry, Sun Yat-Sen Univ., Guangzhou (China); Wernsdorfer, Wolfgang [Institut Neel, CNRS and Universite Joseph Fournier, Grenoble (France); Institute of Nanotechnology, Karlsruhe Institute of Technology (Germany); Physikalisches Institut, Karlsruhe Institute of Technology (Germany); Liu, Dan; Chibotaru, Liviu F. [Theory of Nanomaterials Group and INPAC-Institute of Nanoscale Physics and Chemistry, Katholieke Universiteit Leuven (Belgium)

    2017-04-24

    An extremely rare non-Kramers holmium(III) single-ion magnet (SIM) is reported to be stabilized in the pentagonal-bipyramidal geometry by a phosphine oxide with a high energy barrier of 237(4) cm{sup -1}. The suppression of the quantum tunneling of magnetization (QTM) at zero field and the hyperfine structures originating from field-induced QTMs can be observed even from the field-dependent alternating-current magnetic susceptibility in addition to single-crystal hysteresis loops. These dramatic dynamics were attributed to the combination of the favorable crystal-field environment and the hyperfine interactions arising from {sup 165}Ho (I=7/2) with a natural abundance of 100 %. (copyright 2017 Wiley-VCH Verlag GmbH and Co. KGaA, Weinheim)

  9. DMFC (3,5-dimethyl-7H-furo[3,2-g]chromen-7-one) regulates Bim to trigger Bax and Bak activation to suppress drug-resistant human hepatoma.

    Science.gov (United States)

    Xiang, Jun; Wang, Zhe; Liu, Qianqian; Li, Xia; Sun, Jianguo; Fung, Kwok-Pui; Liu, Feiyan

    2017-03-01

    3,5-Dimethyl- 7 H-furo[3,2-g]chromen-7-one (DMFC) is a coumarin derivative with anti-cancer activity against human hepatoma cells, but the mechanisms underlying DMFC function in cancer suppression is unknown. In this study, we aimed at elucidating the molecular mechanisms underlying DMFC anti-cancer activity and determining whether DMFC is effective in suppression of drug-resistant human hepatocellular carcinoma. We show here that DMFC effectively suppresses both the parent and the multidrug-resistant hepatoma cell growth in vitro and DMFC suppresses hepatoma cell growth at least in part through inducing tumor cell apoptosis. In the molecular level, we observed that DMFC treatment decreases Bcl-2 level by a post-transcriptional mechanism and activates Bim transcription to increase Bim mRNA and protein level in hepatoma cells. Furthermore, co-immunoprecipitation studies revealed that DMFC-induced Bim interrupts interactions between Bcl-2 and Bax and between Mcl-1 and Bak, resulting in dissociation of Bax from Bcl-2 and Bak from Mcl-1 and subsequent activation of both Bax and Bak. Activation of Bax and Bak leads to mitochondrial outer membrane permeabilization and cytochrome c release. Consistent with its potent apoptosis-inducing activity, DMFC exhibited potent activity against the multidrug-resistant hepatoma xenograft growth in vivo. Therefore, we determine that DMFC suppresses hepatoma growth through decreasing Bcl-2 and increasing Bim to induce tumor cell apoptosis and hold great promise for further development as a therapeutic agent to treat chemoresistant hepatoma.

  10. Understanding the interactions of oleic acid with basic drugs in solid lipids on different biopharmaceutical levels.

    OpenAIRE

    Zdravka Misic; Dubravka Šišak Jung; Georg Sydow; Martin Kuentz

    2016-01-01

    There has recently been increasing interest in understanding the impact of intestinal supersaturation on the absorption of poorly water-soluble drugs. Focus has been mostly on the effect of excipients on maintaining drug supersaturation. The aim of the this study was to explore the effects of drug-excipient interactions of an anhydrous formulation, when dispersed in simple buffer media and, in particular, focusing on precipitation kinetics. A solid lipid-based formulation comprising of PEG-32...

  11. Possible drug-metabolism interactions of medicinal herbs with antiretroviral agents.

    NARCIS (Netherlands)

    Beukel, C.J.P. van den; Koopmans †, P.P.; Ven, A.J.A.M. van der; Smet, P.A.G.M. de; Burger, D.M.

    2006-01-01

    Herbal medicines are widely used by HIV patients. Several herbal medicines have been shown to interact with antiretroviral drugs, which might lead to drug failure. We have aimed to provide an overview of the modulating effects of Western and African herbal medicines on antiretroviral

  12. Effect of Fruit/Vegetable-Drug Interactions on CYP450, OATP and p ...

    African Journals Online (AJOL)

    Purpose: To review the concomitant use of certain drugs with fruit/vegetable juices that may lead to drug-juice interactions resulting in medication-related problems. Method: In this systematic review, online databases (PubMed, Google Scholar and Science Direct) were searched for information on juices derived from fruits ...

  13. Surface mediated cooperative interactions of drugs enhance mechanical forces for antibiotic action

    Science.gov (United States)

    Ndieyira, Joseph W.; Bailey, Joe; Patil, Samadhan B.; Vögtli, Manuel; Cooper, Matthew A.; Abell, Chris; McKendry, Rachel A.; Aeppli, Gabriel

    2017-02-01

    The alarming increase of pathogenic bacteria that are resistant to multiple antibiotics is now recognized as a major health issue fuelling demand for new drugs. Bacterial resistance is often caused by molecular changes at the bacterial surface, which alter the nature of specific drug-target interactions. Here, we identify a novel mechanism by which drug-target interactions in resistant bacteria can be enhanced. We examined the surface forces generated by four antibiotics; vancomycin, ristomycin, chloroeremomycin and oritavancin against drug-susceptible and drug-resistant targets on a cantilever and demonstrated significant differences in mechanical response when drug-resistant targets are challenged with different antibiotics although no significant differences were observed when using susceptible targets. Remarkably, the binding affinity for oritavancin against drug-resistant targets (70 nM) was found to be 11,000 times stronger than for vancomycin (800 μM), a powerful antibiotic used as the last resort treatment for streptococcal and staphylococcal bacteria including methicillin-resistant Staphylococcus aureus (MRSA). Using an exactly solvable model, which takes into account the solvent and membrane effects, we demonstrate that drug-target interactions are strengthened by pronounced polyvalent interactions catalyzed by the surface itself. These findings further enhance our understanding of antibiotic mode of action and will enable development of more effective therapies.

  14. Some Remarks on Prediction of Drug-Target Interaction with Network Models.

    Science.gov (United States)

    Zhang, Shao-Wu; Yan, Xiao-Ying

    2017-01-01

    System-level understanding of the relationships between drugs and targets is very important for enhancing drug research, especially for drug function repositioning. The experimental methods used to determine drug-target interactions are usually time-consuming, tedious and expensive, and sometimes lack reproducibility. Thus, it is highly desired to develop computational methods for efficiently and effectively analyzing and detecting new drug-target interaction pairs. With the explosive growth of different types of omics data, such as genome, pharmacology, phenotypic, and other kinds of molecular networks, numerous computational approaches have been developed to predict Drug-Target Interactions (DTI). In this review, we make a survey on the recent advances in predicting drug-target interaction with network-based models from the following aspects: i) Available public data sources and benchmark datasets; ii) Drug/target similarity metrics; iii) Network construction; iv) Common network algorithms; v) Performance comparison of existing network-based DTI predictors. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  15. Effect of drug-carrier interaction on the dissolution behavior of solid dispersion tablets

    NARCIS (Netherlands)

    Srinarong, Parinda; Kouwen, Sander; Visser, Marinella R; Hinrichs, Wouter L J; Frijlink, Henderik W

    2010-01-01

    The objective of this study was to compare the dissolution behavior of tablets prepared from solid dispersions with and without drug-carrier interactions. Diazepam and nifedipine were used as model drugs. Two types of carriers were used; polyvinylpyrrolidone (PVP K12, K30 and K60) and saccharides

  16. Pharmacokinetic interaction between bedaquiline and clofazimine in patients with drug-resistant tuberculosis.

    Science.gov (United States)

    Maartens, G; Brill, M J E; Pandie, M; Svensson, E M

    2018-01-01

    Bedaquiline (BDQ) and clofazimine (CFZ) are both recommended for treating drug-resistant tuberculosis (DR-TB). As CFZ is an inhibitor of the cytochrome P450 isoenzyme 3A4 (CYP3A4) in vitro, and BDQ a substrate of CYP3A4, there is a potential for pharmacokinetic (PK) drug-drug interaction that may result in increased BDQ exposure when co-administered with CFZ, which could increase the toxicity of BDQ. We assessed the effect of co-administered CFZ on BDQ bioavailability, or on clearance of BDQ and its N-monodesmethyl metabolite (M2), in patients with DR-TB using a population PK model developed from data of patients with DR-TB. This was a secondary analysis of a study designed to explore drug-drug interactions between BDQ and antiretrovirals. Of 46 participants, 30 were on concomitant CFZ when intensive PK sampling of BDQ was done. CFZ did not have a statistically significant effect on BDQ bioavailability (-9.1%, 90%CI -22.8 to +7.1; P = 0.19) or on BDQ and M2 clearance (+12.2%, 90%CI -13.7 to +38; P = 0.32). We did not find a statistically significant PK drug-drug interaction between BDQ and CFZ, but cannot exclude a potentially clinically relevant interaction due to the wide confidence intervals of the estimated interaction effects.

  17. An Evidence-Based Assessment of the Clinical Significance of Drug-Drug Interactions Between Disease-Modifying Antirheumatic Drugs and Non-Antirheumatic Drugs According to Rheumatologists and Pharmacists

    NARCIS (Netherlands)

    van Roon, Eric N.; van den Bemt, Patricia M. L. A.; Jansen, Tim L. Th. A.; Houtman, Nella M.; van de Laar, Mart A. F. J.; Brouwers, Jacobus R. B. J.

    Background: Clinically relevant drug-drug interactions (DDIs) must be recognized in a timely manner and managed appropriately to prevent adverse drug reactions or therapeutic failure. Because the evidence for most DDIs is based on case reports or poorly documented clinical information, there is a

  18. Stress, alcohol and drug interaction: an update of human research

    OpenAIRE

    Uhart, Magdalena; Wand, Gary S.

    2008-01-01

    A challenging question that continues unanswered in the field of addiction is why some individuals are more vulnerable to substance use disorders than others. Numerous risk factors for alcohol and other drugs of abuse, including exposure to various forms of stress, have been identified in clinical studies. However, the neurobiological mechanisms that underlie this relationship remain unclear. Critical neurotransmitters, hormones and neurobiological sites have been recognized, which may provid...

  19. Projecting ADME Behavior and Drug-Drug Interactions in Early Discovery and Development: Application of the Extended Clearance Classification System.

    Science.gov (United States)

    El-Kattan, Ayman F; Varma, Manthena V; Steyn, Stefan J; Scott, Dennis O; Maurer, Tristan S; Bergman, Arthur

    2016-12-01

    To assess the utility of Extended Clearance Classification System (ECCS) in understanding absorption, distribution, metabolism, and elimination (ADME) attributes and enabling victim drug-drug interaction (DDI) predictions. A database of 368 drugs with relevant ADME parameters, main metabolizing enzymes, uptake transporters, efflux transporters, and highest change in exposure (%AUC) in presence of inhibitors was developed using published literature. Drugs were characterized according to ECCS using ionization, molecular weight and estimated permeability. Analyses suggested that ECCS class 1A drugs are well absorbed and systemic clearance is determined by metabolism mediated by CYP2C, esterases, and UGTs. For class 1B drugs, oral absorption is high and the predominant clearance mechanism is hepatic uptake mediated by OATP transporters. High permeability neutral/basic drugs (class 2) showed high oral absorption, with metabolism mediated generally by CYP3A, CYP2D6 and UGTs as the predominant clearance mechanism. Class 3A/4 drugs showed moderate absorption with dominant renal clearance involving OAT/OCT2 transporters. Class 3B drugs showed low to moderate absorption with hepatic uptake (OATPs) and/or renal clearance as primary clearance mechanisms. The highest DDI risk is typically seen with class 2/1B/3B compounds manifested by inhibition of either CYP metabolism or active hepatic uptake. Class 2 showed a wider range in AUC change likely due to a variety of enzymes involved. DDI risk for class 3A/4 is small and associated with inhibition of renal transporters. ECCS provides a framework to project ADME profiles and further enables prediction of victim DDI liabilities in drug discovery and development.

  20. EPR studies of intermolecular interactions and competitive binding of drugs in a drug-BSA binding model.

    Science.gov (United States)

    Akdogan, Y; Emrullahoglu, M; Tatlidil, D; Ucuncu, M; Cakan-Akdogan, G

    2016-08-10

    Understanding intermolecular interactions between drugs and proteins is very important in drug delivery studies. Here, we studied different binding interactions between salicylic acid and bovine serum albumin (BSA) using electron paramagnetic resonance (EPR) spectroscopy. Salicylic acid was labeled with a stable radical (spin label) in order to monitor its mobilized (free) or immobilized (bound to BSA) states. In addition to spin labeled salicylic acid (SL-salicylic acid), its derivatives including SL-benzoic acid, SL-phenol, SL-benzene, SL-cyclohexane and SL-hexane were synthesized to reveal the effects of various drug binding interactions. EPR results of these SL-molecules showed that hydrophobic interaction is the main driving force. Whereas each of the two functional groups (-COOH and -OH) on the benzene ring has a minute but detectable effect on the drug-protein complex formation. In order to investigate the effect of electrostatic interaction on drug binding, cationic BSA (cBSA) was synthesized, altering the negative net charge of BSA to positive. The salicylic acid loading capacity of cBSA is significantly higher compared to that of BSA, indicating the importance of electrostatic interaction in drug binding. Moreover, the competitive binding properties of salicylic acid, ibuprofen and aspirin to BSA were studied. The combined EPR results of SL-salicylic acid/ibuprofen and SL-ibuprofen/salicylic acid showed that ibuprofen is able to replace up to ∼83% of bound SL-salicylic acid, and salicylic acid can replace only ∼14% of the bound SL-ibuprofen. This indicates that ∼97% of all salicylic acid and ibuprofen binding sites are shared. On the other hand, aspirin replaces only ∼23% of bound SL-salicylic acid, and salicylic acid replaces ∼50% of bound SL-aspirin, indicating that ∼73% of all salicylic acid and aspirin binding sites are shared. These results show that EPR spectroscopy in combination with the spin labeling technique is a very powerful

  1. Potential drug-drug interactions among elderly patients on anti-hypertensive medications in two tertiary healthcare facilities in Ekiti State, South-West Nigeria

    Directory of Open Access Journals (Sweden)

    Joseph Olusesan Fadare

    2016-01-01

    Full Text Available Introduction: Drug-drug interactions remain a major cause of adverse drug reactions with great consequences such as increased morbidity and increased healthcare cost. In elderly patients with systemic hypertension, there is a tendency for them to be prescribed multiple medications and this may expose them to some drug-drug interactions (DDIs especially in the context of physiological changes of ageing. The objective of this study was to evaluate potential drug-drug interaction among some Nigerian elderly hypertension. Methods: A cross-sectional study involving elderly hypertensive patients attending the general outpatient clinic of two tertiary healthcare facilities located in Ekiti State, South-West Nigeria. The information collected from the patients′ medical records included their ages, gender, diagnosis and list of prescribed anti-hypertensive medications. Potential drug-drug interactions were checked for using the Multi-Drug Interaction Checker (Medscape Reference and Epocrates Drug Interaction Checker (San Mateo CA, USA. Results: A total of 350 elderly patients attended the clinics during the study period of which 208 (59.4% hypertensive patients were identified and their records used for analysis. The fixed-dose combination drug Moduretic® (Amiloride /Hydrochlorothiazide-25.7% was the most commonly prescribed antihypertensive followed by Lisinopril (16.6%, Amlodipine (13.2% and Nifedipine (12.6%. The anti-platelet Acetyl-salicylic acid (ASA was prescribed for 100 (48.1% patients and represented 19.8% of all prescribed medications. A total of 231 potential DDIs were found among the patients giving a mean of 1.3 interactions per patient. The most common identified drug pairs with potential interactions were ACE inhibitors - Amiloride, followed by ACE inhibitors - Hydrochlorothiazide, ACE inhibitors - ASA and ARB - Amiloride. Conclusion: Potential drug-drug interactions, though common in this study comprised mainly of minor and moderate

  2. The interaction with gold suppresses fiber-like conformations of the amyloid β (16-22) peptide

    Science.gov (United States)

    Bellucci, Luca; Ardèvol, Albert; Parrinello, Michele; Lutz, Helmut; Lu, Hao; Weidner, Tobias; Corni, Stefano

    2016-04-01

    Inorganic surfaces and nanoparticles can accelerate or inhibit the fibrillation process of proteins and peptides, including the biomedically relevant amyloid β peptide. However, the microscopic mechanisms that determine such an effect are still poorly understood. By means of large-scale, state-of-the-art enhanced sampling molecular dynamics simulations, here we identify an interaction mechanism between the segments 16-22 of the amyloid β peptide, known to be fibrillogenic by itself, and the Au(111) surface in water that leads to the suppression of fiber-like conformations from the peptide conformational ensemble. Moreover, thanks to advanced simulation analysis techniques, we characterize the conformational selection vs. induced fit nature of the gold effect. Our results disclose an inhibition mechanism that is rooted in the details of the microscopic peptide-surface interaction rather than in general phenomena such as peptide sequestration from the solution.Inorganic surfaces and nanoparticles can accelerate or inhibit the fibrillation process of proteins and peptides, including the biomedically relevant amyloid β peptide. However, the microscopic mechanisms that determine such an effect are still poorly understood. By means of large-scale, state-of-the-art enhanced sampling molecular dynamics simulations, here we identify an interaction mechanism between the segments 16-22 of the amyloid β peptide, known to be fibrillogenic by itself, and the Au(111) surface in water that leads to the suppression of fiber-like conformations from the peptide conformational ensemble. Moreover, thanks to advanced simulation analysis techniques, we characterize the conformational selection vs. induced fit nature of the gold effect. Our results disclose an inhibition mechanism that is rooted in the details of the microscopic peptide-surface interaction rather than in general phenomena such as peptide sequestration from the solution. Electronic supplementary information (ESI

  3. Large-scale prediction of drug–target interactions using protein sequences and drug topological structures

    International Nuclear Information System (INIS)

    Cao Dongsheng; Liu Shao; Xu Qingsong; Lu Hongmei; Huang Jianhua; Hu Qiannan; Liang Yizeng

    2012-01-01

    Highlights: ► Drug–target interactions are predicted using an extended SAR methodology. ► A drug–target interaction is regarded as an event triggered by many factors. ► Molecular fingerprint and CTD descriptors are used to represent drugs and proteins. ► Our approach shows compatibility between the new scheme and current SAR methodology. - Abstract: The identification of interactions between drugs and target proteins plays a key role in the process of genomic drug discovery. It is both consuming and costly to determine drug–target interactions by experiments alone. Therefore, there is an urgent need to develop new in silico prediction approaches capable of identifying these potential drug–target interactions in a timely manner. In this article, we aim at extending current structure–activity relationship (SAR) methodology to fulfill such requirements. In some sense, a drug–target interaction can be regarded as an event or property triggered by many influence factors from drugs and target proteins. Thus, each interaction pair can be represented theoretically by using these factors which are based on the structural and physicochemical properties simultaneously from drugs and proteins. To realize this, drug molecules are encoded with MACCS substructure fingerings representing existence of certain functional groups or fragments; and proteins are encoded with some biochemical and physicochemical properties. Four classes of drug–target interaction networks in humans involving enzymes, ion channels, G-protein-coupled receptors (GPCRs) and nuclear receptors, are independently used for establishing predictive models with support vector machines (SVMs). The SVM models gave prediction accuracy of 90.31%, 88.91%, 84.68% and 83.74% for four datasets, respectively. In conclusion, the results demonstrate the ability of our proposed method to predict the drug–target interactions, and show a general compatibility between the new scheme and current SAR

  4. The HLJ1-targeting drug screening identified Chinese herb andrographolide that can suppress tumour growth and invasion in non-small-cell lung cancer.

    Science.gov (United States)

    Lai, Yi-Hua; Yu, Sung-Liang; Chen, Hsuan-Yu; Wang, Chi-Chung; Chen, Huei-Wen; Chen, Jeremy J W

    2013-05-01

    HLJ1 is a novel tumour suppressor and is a potential druggable target for non-small-cell lung cancer (NSCLC). In this report, using a promoter-containing enhancer region as the HLJ1-targeting drug-screening platform, we identified several herbal compounds from a Chinese herbal bank with the capacity to enhance HLJ1 promoter activity and suppress tumour growth and invasion of NSCLC. Among the herbal drugs identified, the andrographolide (from Andrographis paniculata [Burm. f.] Nees.) most significantly induced HLJ1 expression and suppressed tumorigenesis both in vitro and in vivo. The andrographolide upregulates HLJ1 via JunB activation, which modulates AP-2α binding at the MMP-2 promoter and represses the expression of MMP-2. In addition, silencing of HLJ1 partially reverses the inhibition of cancer-cell invasion by andrographolide. Microarray transcriptomic analysis was performed to comprehensively depict the andrographolide-regulated signalling pathways. We showed that andrographolide can affect 939 genes (analysis of variance, false discovery rate andrographolide on anticancer invasion and proliferation. In conclusion, the HLJ1-targeting drug-screening platform is useful for screening of novel anticancer compounds. Using this platform, we identified andrographolide is a promising new anticancer agent that could suppress tumour growth and invasion in NSCLC.

  5. Drug reaction with eosinophilia and systemic symptoms syndrome probably induced by a lamotrigine-ginseng drug interaction.

    Science.gov (United States)

    Myers, Amy P; Watson, Troy A; Strock, Steven B

    2015-03-01

    The likelihood of a drug reaction with lamotrigine is increased by dose escalation that is too rapid or drug interactions that increase the concentration of lamotrigine. There is a well-documented interaction between valproic acid and lamotrigine in which lamotrigine levels are increased, subsequently increasing the risk of a drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome. This syndrome is characterized by fever, lymphadenopathy, diffuse maculopapular rash, multivisceral involvement, eosinophilia, and atypical lymphocytes and has a mortality rate of 10-40%. We describe the first case, to our knowledge, of DRESS syndrome that was probably induced by a drug interaction between lamotrigine and ginseng. A 44-year-old white man presented to the emergency department after experiencing a possible seizure. His medical history included two other lifetime events concerning for seizures at ages 14 and 29 years old. After referral to the neurology clinic, he was diagnosed with generalized tonic-clonic seizure disorder, and lamotrigine was started with up-titration according to the drug's package insert to a goal dosage of 150 mg twice/day. The patient had also been taking deer antler velvet and ginseng that he continued during his lamotrigine therapy. On day 43 of therapy, the patient presented to the emergency department with a pruritic rash that had started on his extremities and spread to his torso. He was thought to have experienced a drug reaction to lamotrigine, and the drug was discontinued. Thirteen days later, the patient was admitted from the acute care clinic for inpatient observation due to laboratory abnormalities in the setting of continued rash, headache, and myalgias. His admission laboratory results on that day were remarkable for leukocytosis, with a white blood cell count up to 17.6 × 10(3) /mm(3) , with a prominent eosinophilia of 3.04 × 10(3) /mm(3) ; his liver enzyme levels were also elevated, with an aspartate

  6. Drug interaction studies of Ximenia americana and Pavetta ...

    African Journals Online (AJOL)

    The therapeutic efficacy of single or multicomponent herbs is thought to reside in synergistic interactions between the bioactive constituents. The methanol extracts of X. americana and P. crassipes were initially screened against Gram positive and negative organisms as well as against Mycobacterium tuberculosis H37Rv ...

  7. Protein and Drug Interactions in the Minor Groove of DNA

    Czech Academy of Sciences Publication Activity Database

    Morávek, Z.; Neidle, S.; Schneider, Bohdan

    2002-01-01

    Roč. 30, č. 5 (2002), s. 1182-1191 ISSN 0305-1048 R&D Projects: GA MŠk LN00A032 Institutional research plan: CEZ:AV0Z4040901 Keywords : protein * DNA * interactions Subject RIV: CF - Physical ; Theoretical Chemistry Impact factor: 7.051, year: 2002

  8. Lipophilicity of basic drugs measured by hydrophilic interaction chromatography.

    Science.gov (United States)

    Bard, Bruno; Carrupt, Pierre-Alain; Martel, Sophie

    2009-05-28

    RPLC gains acceptance in pharmaceutical research for the rapid determination of lipophilicity but remains limited for the determination of partition coefficients of moderate to strong basic compounds under their neutral form because stationary phases are not compatible with high pH conditions. In this work, HILIC technique was used to accurately measure log P(oct) of the neutral form of basic drugs by measuring the difference between 2 isocratic log k values (Delta log k(0-95)) of their cationic form.

  9. Anisotropy and Suppression of Spin-Orbit Interaction in a GaAs Double Quantum Dot.

    Science.gov (United States)

    Hofmann, A; Maisi, V F; Krähenmann, T; Reichl, C; Wegscheider, W; Ensslin, K; Ihn, T

    2017-10-27

    The spin-flip tunneling rates are measured in GaAs-based double quantum dots by time-resolved charge detection. Such processes occur in the Pauli spin blockade regime with two electrons occupying the double quantum dot. Ways are presented for tuning the spin-flip tunneling rate, which on the one hand gives access to measuring the Rashba and Dresselhaus spin-orbit coefficients. On the other hand, they make it possible to turn on and off the effect of spin-orbit interaction with a high on/off ratio. The tuning is accomplished by choosing the alignment of the tunneling direction with respect to the crystallographic axes, as well as by choosing the orientation of the external magnetic field with respect to the spin-orbit magnetic field. Spin lifetimes of 10 s are achieved at a tunneling rate close to 1 kHz.

  10. Anisotropy and Suppression of Spin-Orbit Interaction in a GaAs Double Quantum Dot

    Science.gov (United States)

    Hofmann, A.; Maisi, V. F.; Krähenmann, T.; Reichl, C.; Wegscheider, W.; Ensslin, K.; Ihn, T.

    2017-10-01

    The spin-flip tunneling rates are measured in GaAs-based double quantum dots by time-resolved charge detection. Such processes occur in the Pauli spin blockade regime with two electrons occupying the double quantum dot. Ways are presented for tuning the spin-flip tunneling rate, which on the one hand gives access to measuring the Rashba and Dresselhaus spin-orbit coefficients. On the other hand, they make it possible to turn on and off the effect of spin-orbit interaction with a high on/off ratio. The tuning is accomplished by choosing the alignment of the tunneling direction with respect to the crystallographic axes, as well as by choosing the orientation of the external magnetic field with respect to the spin-orbit magnetic field. Spin lifetimes of 10 s are achieved at a tunneling rate close to 1 kHz.

  11. Improved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique

    International Nuclear Information System (INIS)

    Hao, Ming; Wang, Yanli; Bryant, Stephen H.

    2016-01-01

    Identification of drug-target interactions (DTI) is a central task in drug discovery processes. In this work, a simple but effective regularized least squares integrating with nonlinear kernel fusion (RLS-KF) algorithm is proposed to perform DTI predictions. Using benchmark DTI datasets, our proposed algorithm achieves the state-of-the-art results with area under precision–recall curve (AUPR) of 0.915, 0.925, 0.853 and 0.909 for enzymes, ion channels (IC), G protein-coupled receptors (GPCR) and nuclear receptors (NR) based on 10 fold cross-validation. The performance can further be improved by using a recalculated kernel matrix, especially for the small set of nuclear receptors with AUPR of 0.945. Importantly, most of the top ranked interaction predictions can be validated by experimental data reported in the literature, bioassay results in the PubChem BioAssay database, as well as other previous studies. Our analysis suggests that the proposed RLS-KF is helpful for studying DTI, drug repositioning as well as polypharmacology, and may help to accelerate drug discovery by identifying novel drug targets. - Graphical abstract: Flowchart of the proposed RLS-KF algorithm for drug-target interaction predictions. - Highlights: • A nonlinear kernel fusion algorithm is proposed to perform drug-target interaction predictions. • Performance can further be improved by using the recalculated kernel. • Top predictions can be validated by experimental data.

  12. Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.

    Directory of Open Access Journals (Sweden)

    Lei Chen

    Full Text Available Hepatitis C virus (HCV is an infectious virus that can cause serious illnesses. Only a few drugs have been reported to effectively treat hepatitis C. To have greater diversity in drug choice and better treatment options, it is necessary to develop more drugs to treat the infection. However, it is time-consuming and expensive to discover candidate drugs using experimental methods, and computational methods may complement experimental approaches as a preliminary filtering process. This type of approach was proposed by using known chemical-chemical interactions to extract interactive compounds with three known drug compounds of HCV, and the probabilities of these drug compounds being able to treat hepatitis C were calculated using chemical-protein interactions between the interactive compounds and HCV target genes. Moreover, the randomization test and expectation-maximization (EM algorithm were both employed to exclude false discoveries. Analysis of the selected compounds, including acyclovir and ganciclovir, indicated that some of these compounds had potential to treat the HCV. Hopefully, this proposed method could provide new insights into the discovery of candidate drugs for the treatment of HCV and other diseases.

  13. Improved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique

    Energy Technology Data Exchange (ETDEWEB)

    Hao, Ming; Wang, Yanli, E-mail: ywang@ncbi.nlm.nih.gov; Bryant, Stephen H., E-mail: bryant@ncbi.nlm.nih.gov

    2016-02-25

    Identification of drug-target interactions (DTI) is a central task in drug discovery processes. In this work, a simple but effective regularized least squares integrating with nonlinear kernel fusion (RLS-KF) algorithm is proposed to perform DTI predictions. Using benchmark DTI datasets, our proposed algorithm achieves the state-of-the-art results with area under precision–recall curve (AUPR) of 0.915, 0.925, 0.853 and 0.909 for enzymes, ion channels (IC), G protein-coupled receptors (GPCR) and nuclear receptors (NR) based on 10 fold cross-validation. The performance can further be improved by using a recalculated kernel matrix, especially for the small set of nuclear receptors with AUPR of 0.945. Importantly, most of the top ranked interaction predictions can be validated by experimental data reported in the literature, bioassay results in the PubChem BioAssay database, as well as other previous studies. Our analysis suggests that the proposed RLS-KF is helpful for studying DTI, drug repositioning as well as polypharmacology, and may help to accelerate drug discovery by identifying novel drug targets. - Graphical abstract: Flowchart of the proposed RLS-KF algorithm for drug-target interaction predictions. - Highlights: • A nonlinear kernel fusion algorithm is proposed to perform drug-target interaction predictions. • Performance can further be improved by using the recalculated kernel. • Top predictions can be validated by experimental data.

  14. Interactions between traditional Chinese medicine and western drugs in Taiwan: A population-based study.

    Science.gov (United States)

    Chen, Kuan Chen; Lu, Richard; Iqbal, Usman; Hsu, Ko-Ching; Chen, Bi-Li; Nguyen, Phung-Anh; Yang, Hsuan-Chia; Huang, Chih-Wei; Li, Yu-Chuan Jack; Jian, Wen-Shan; Tsai, Shin-Han

    2015-12-01

    Drug-drug interactions have long been an active research area in clinical medicine. In Taiwan, however, the widespread use of traditional Chinese medicines (TCM) presents additional complexity to the topic. Therefore, it is important to see the interaction between traditional Chinese and western medicine. (1) To create a comprehensive database of multi-herb/western drug interactions indexed according to the ways in which physicians actually practice and (2) to measure this database's impact on the detection of adverse effects between traditional Chinese medicine compounds and western medicines. First, a multi-herb/western medicine drug interactions database was created by separating each TCM compound into its constituent herbs. Each individual herb was then checked against an existing single-herb/western drug interactions database. The data source comes from the National Health Insurance research database, which spans the years 1998-2011. This study estimated the interaction prevalence rate and further separated the rates according to patient characteristics, distribution by county, and hospital accreditation levels. Finally, this new database was integrated into a computer order entry module of the electronic medical records system of a regional teaching hospital. The effects it had were measured for two months. The most commonly interacting Chinese herbs were Ephedrae Herba and Angelicae Sinensis Radix/Angelicae Dahuricae Radix. Ephedrae Herba contains active ingredients similar to in ephedrine. 15 kinds of traditional Chinese medicine compounds contain Ephedrae Herba. Angelicae Sinensis Radix and Angelicae Dahuricae Radix contain ingredients similar to coumarin, a blood thinner. 9 kinds of traditional Chinese medicine compounds contained Angelicae Sinensis Radix/Angelicae Dahuricae Radix. In the period from 1998 to 2011, the prevalence of herb-drug interactions related to Ephedrae Herba was 0.18%. The most commonly prescribed traditional Chinese compounds were

  15. Drug-interaction-induced hemodynamically mediated acute renal failure in postsurgical patient

    Directory of Open Access Journals (Sweden)

    Arup K Misra

    2014-01-01

    Full Text Available Acute renal failure is a life threatening condition. Nonsteroidal antiinflammatory drugs (NSAIDs and cephalosporins are widely used postoperative drugs. NSAID-induced acute renal failure has been reported in the past. In this case, drug interaction and decompensated state of the patient precipitate the condition. NSAIDs inhibit prostaglandins synthesis and thus aggravate ischemia to the kidney that is already facing volume crisis due to surgery. Due to renal dysfunction, plasma ceftriaxone level increases due to decrease clearance and it also acts as nephrotoxic by unknown mechanism. On the other hand, ceftriaxone on its interaction with diclofenac for renal tubular clearance also increases the level of diclofenac and thus further aggravate the ischemia. It is a reversible condition with excluding diclofenac from the treatment regimen and giving adequate hydration to the patient. This highlights the importance of hydration and knowledge of drugs interactions in a postsurgical patient.

  16. Application of Caco-2 Cell Line in Herb-Drug Interaction Studies: Current Approaches and Challenges

    Science.gov (United States)

    Awortwe, C.; Fasinu, P.S.; Rosenkranz, B.

    2015-01-01

    The Caco-2 model is employed in pre-clinical investigations to predict the likely gastrointestinal permeability of drugs because it expresses cytochrome P450 enzymes, transporters, microvilli and enterocytes of identical characteristics to the human small intestine. The FDA recommends this model as integral component of the Biopharmaceutics Classification System (BCS). Most dedicated laboratories use the Caco-2 cell line to screen new chemical entities through prediction of its solubility, bioavailability and the possibility of drug-drug or herb-drug interactions in the gut lumen. However, challenges in the inherent characteristics of Caco-2 cell and inter-laboratory protocol variations have resulted to generation of irreproducible data. These limitations affect the extrapolation of data from pre-clinical research to clinical studies involving drug-drug and herb-drug interactions. This review addresses some of these caveats and enumerates the plausible current and future approaches to reduce the anomalies associated with Caco-2 cell line investigations focusing on its application in herb-drug interactions. PMID:24735758

  17. The interaction of drug use, sex work, and HIV among transgender women.

    Science.gov (United States)

    Hoffman, Beth R

    2014-06-01

    Transgender women have a higher prevalence of drug use, HIV, drug use, and sex work than the general population. This article explores the interaction of these variables and discusses how sex work and drug use behaviors contribute to the high rates of HIV. A model predicting HIV rates with sex work and drug use as well as these behaviors in the transgender woman's social network is presented. Challenges to intervening with transgender women, as well as suggestions and criteria for successful interventions, are discussed.

  18. Disrupting galectin-1 interactions with N-glycans suppresses hypoxia-driven angiogenesis and tumorigenesis in Kaposi’s sarcoma

    Science.gov (United States)

    Croci, Diego O.; Salatino, Mariana; Rubinstein, Natalia; Cerliani, Juan P.; Cavallin, Lucas E.; Leung, Howard J.; Ouyang, Jing; Ilarregui, Juan M.; Toscano, Marta A.; Domaica, Carolina I.; Croci, María C.; Shipp, Margaret A.; Mesri, Enrique A.; Albini, Adriana

    2012-01-01

    Kaposi’s sarcoma (KS), a multifocal vascular neoplasm linked to human herpesvirus-8 (HHV-8/KS-associated herpesvirus [KSHV]) infection, is the most common AIDS-associated malignancy. Clinical management of KS has proven to be challenging because of its prevalence in immunosuppressed patients and its unique vascular and inflammatory nature that is sustained by viral and host-derived paracrine-acting factors primarily released under hypoxic conditions. We show that interactions between the regulatory lectin galectin-1 (Gal-1) and specific target N-glycans link tumor hypoxia to neovascularization as part of the pathogenesis of KS. Expression of Gal-1 is found to be a hallmark of human KS but not other vascular pathologies and is directly induced by both KSHV and hypoxia. Interestingly, hypoxia induced Gal-1 through mechanisms that are independent of hypoxia-inducible factor (HIF) 1α and HIF-2α but involved reactive oxygen species–dependent activation of the transcription factor nuclear factor κB. Targeted disruption of Gal-1–N-glycan interactions eliminated hypoxia-driven angiogenesis and suppressed tumorigenesis in vivo. Therapeutic administration of a Gal-1–specific neutralizing mAb attenuated abnormal angiogenesis and promoted tumor regression in mice bearing established KS tumors. Given the active search for HIF-independent mechanisms that serve to couple tumor hypoxia to pathological angiogenesis, our findings provide novel opportunities not only for treating KS patients but also for understanding and managing a variety of solid tumors. PMID:23027923

  19. Drug-polymer-water interaction and its implication for the dissolution performance of amorphous solid dispersions.

    Science.gov (United States)

    Chen, Yuejie; Liu, Chengyu; Chen, Zhen; Su, Ching; Hageman, Michael; Hussain, Munir; Haskell, Roy; Stefanski, Kevin; Qian, Feng

    2015-02-02

    The in vitro dissolution mechanism of an amorphous solid dispersion (ASD) remains elusive and highly individualized, yet rational design of ASDs with optimal performance and prediction of their in vitro/in vivo performance are very much desirable in the pharmaceutical industry. To this end, we carried out comprehensive investigation of various ASD systems of griseofulvin, felodipine, and ketoconazole, in PVP-VA or HPMC-AS at different drug loading. Physiochemical properties and processes related to drug-polymer-water interaction, including the drug crystallization tendency in aqueous medium, drug-polymer interaction before and after moisture exposure, supersaturation of drug in the presence of polymer, polymer dissolution kinetics, etc., were characterized and correlated with the dissolution performance of ASDs at different dose and different drug/polymer ratio. It was observed that ketoconazole/HPMC-AS ASD outperformed all other ASDs in various dissolution conditions, which was attributed to the drug's low crystallization tendency, the strong ketoconazole/HPMC-AS interaction and the robustness of this interaction against water disruption, the dissolution rate and the availability of HPMC-AS in solution, and the ability of HPMC-AS in maintaining ketoconazole supersaturation. It was demonstrated that all these properties have implications for the dissolution performance of various ASD systems, and further quantification of them could be used as potential predictors for in vitro dissolution of ASDs. For all ASDs investigated, HPMC-AS systems performed better than, or at least comparably with, their PVP-VA counterparts, regardless of the drug loading or dose. This observation cannot be solely attributed to the ability of HPMC-AS in maintaining drug supersaturation. We also conclude that, for fast crystallizers without strong drug-polymer interaction, the only feasible option to improve dissolution might be to lower the dose and the drug loading in the ASD. In this

  20. Adaptive Landscape by Environment Interactions Dictate Evolutionary Dynamics in Models of Drug Resistance

    Science.gov (United States)

    Ogbunugafor, C. Brandon; Wylie, C. Scott; Diakite, Ibrahim; Weinreich, Daniel M.; Hartl, Daniel L.

    2016-01-01

    The adaptive landscape analogy has found practical use in recent years, as many have explored how their understanding can inform therapeutic strategies that subvert the evolution of drug resistance. A major barrier to applications of these concepts is a lack of detail concerning how the environment affects adaptive landscape topography, and consequently, the outcome of drug treatment. Here we combine empirical data, evolutionary theory, and computer simulations towards dissecting adaptive landscape by environment interactions for the evolution of drug resistance in two dimensions—drug concentration and drug type. We do so by studying the resistance mediated by Plasmodium falciparum dihydrofolate reductase (DHFR) to two related inhibitors—pyrimethamine and cycloguanil—across a breadth of drug concentrations. We first examine whether the adaptive landscapes for the two drugs are consistent with common definitions of cross-resistance. We then reconstruct all accessible pathways across the landscape, observing how their structure changes with drug environment. We offer a mechanism for non-linearity in the topography of accessible pathways by calculating of the interaction between mutation effects and drug environment, which reveals rampant patterns of epistasis. We then simulate evolution in several different drug environments to observe how these individual mutation effects (and patterns of epistasis) influence paths taken at evolutionary “forks in the road” that dictate adaptive dynamics in silico. In doing so, we reveal how classic metrics like the IC50 and minimal inhibitory concentration (MIC) are dubious proxies for understanding how evolution will occur across drug environments. We also consider how the findings reveal ambiguities in the cross-resistance concept, as subtle differences in adaptive landscape topography between otherwise equivalent drugs can drive drastically different evolutionary outcomes. Summarizing, we discuss the results with

  1. Suppression of Magnetic Quantum Tunneling in a Chiral Single-Molecule Magnet by Ferromagnetic Interactions.

    Science.gov (United States)

    Lippert, Kai-Alexander; Mukherjee, Chandan; Broschinski, Jan-Philipp; Lippert, Yvonne; Walleck, Stephan; Stammler, Anja; Bögge, Hartmut; Schnack, Jürgen; Glaser, Thorsten

    2017-12-18

    Single-molecule magnets (SMMs) retain a magnetization without applied magnetic field for a decent time due to an energy barrier U for spin-reversal. Despite the success to increase U, the difficult to control magnetic quantum tunneling often leads to a decreased effective barrier U eff and a fast relaxation. Here, we demonstrate the influence of the exchange coupling on the tunneling probability in two heptanuclear SMMs hosting the same spin-system with the same high spin ground state S t = 21/2. A chirality-induced symmetry reduction leads to a switch of the Mn III -Mn III exchange from antiferromagnetic in the achiral SMM [Mn III 6 Cr III ] 3+ to ferromagnetic in the new chiral SMM RR [Mn III 6 Cr III ] 3+ . Multispin Hamiltonian analysis by full-matrix diagonalization demonstrates that the ferromagnetic interactions in RR [Mn III 6 Cr III ] 3+ enforce a well-defined S t = 21/2 ground state with substantially less mixing of M S substates in contrast to [Mn III 6 Cr III ] 3+ and no tunneling pathways below the top of the energy barrier. This is experimentally verified as U eff is smaller than the calculated energy barrier U in [Mn III 6 Cr III ] 3+ due to tunneling pathways, whereas U eff equals U in RR [Mn III 6 Cr III ] 3+ demonstrating the absence of quantum tunneling.

  2. Individual variability in clinical effect and tolerability of opioid analgesics - Importance of drug interactions and pharmacogenetics.

    Science.gov (United States)

    Solhaug, Vigdis; Molden, Espen

    2017-10-01

    As pain is often a comorbid condition, many patients use opioid analgesics in combination with several other drugs. This implies a generally increased risk of drug interactions, which along with inherent pharmacogenetic variability and other factors may cause differences in therapeutic response of opioids. To provide an overview of interactions and pharmacogenetic variability of relevance for individual differences in effect and tolerability of opioid analgesics, which physicians and other healthcare professionals should be aware of in clinical practice. The article was based on unsystematic searches in PubMed to identify literature highlighting the clinical impact of drug interactions and pharmacogenetics as sources of variable response of opioid analgesics. Cytochrome P450 (CYP)-mediated metabolism is an important process for both clinically relevant interactions and pharmacogenetic variability of several opioids. Concomitant use of CYP inhibitors (e.g. paroxetine, fluoxetine and bupropion) or inducers (e.g. carbamazepine, phenobarbital and phenytoin) could counteract the clinical effect or trigger side effects of analgesics in the same manner as genetically determined differences in CYP2D6-mediated metabolism of many opioids. Moreover, combination treatment with drugs that inhibit or induce P-glycoprotein (ABCB1), a blood-brain barrier efflux transporter, may alter the amount ('dose') of opioids distributed to the brain. At the pharmacodynamic level, it is crucial to be aware of the potential risk of interaction causing serotonergic syndrome when combining opioids and serotonergic drugs, in particular antidepressants inhibiting serotonin reuptake (SSRIs and SNRIs). Regarding pharmacogenetics at the receptor level of pain treatment, the knowledge is currently scarce, but an allelic variant of the μ1 opioid receptor (OPRM1) gene has been associated with higher dosage requirement to achieve analgesia. Drug interactions and pharmacogenetic differences may lead to

  3. Micro-Environmental Signature of The Interactions between Druggable Target Protein, Dipeptidyl Peptidase-IV, and Anti-Diabetic Drugs

    OpenAIRE

    Chakraborty, Chiranjib; Mallick, Bidyut; Sharma, Ashish Ranjan; Sharma, Garima; Jagga, Supriya; Doss, C George Priya; Nam, Ju-Suk; Lee, Sang-Soo

    2016-01-01

    Objective Druggability of a target protein depends on the interacting micro-environment between the target protein and drugs. Therefore, a precise knowledge of the interacting micro-environment between the target protein and drugs is requisite for drug discovery process. To understand such micro-environment, we performed in silico interaction analysis between a human target protein, Dipeptidyl Peptidase-IV (DPP-4), and three anti-diabetic drugs (saxagliptin, linagliptin and vildagliptin). ...

  4. Interaction between Tat and Drugs of Abuse during HIV-1 Infection and Central Nervous System Disease.

    Science.gov (United States)

    Maubert, Monique E; Pirrone, Vanessa; Rivera, Nina T; Wigdahl, Brian; Nonnemacher, Michael R

    2015-01-01

    In many individuals, drug abuse is intimately linked with HIV-1 infection. In addition to being associated with one-third of all HIV-1 infections in the United States, drug abuse also plays a role in disease progression and severity in HIV-1-infected patients, including adverse effects on the central nervous system (CNS). Specific systems within the brain are known to be damaged in HIV-1-infected individuals and this damage is similar to that observed in drug abuse. Even in the era of anti-retroviral therapy (ART), CNS pathogenesis occurs with HIV-1 infection, with a broad range of cognitive impairment observed, collectively referred to as HIV-1-associated neurocognitive disorders (HAND). A number of HIV-1 proteins (Tat, gp120, Nef, Vpr) have been implicated in the etiology of pathogenesis and disease as a result of the biologic activity of the extracellular form of each of the proteins in a number of tissues, including the CNS, even in ART-suppressed patients. In this review, we have made Tat the center of attention for a number of reasons. First, it has been shown to be synthesized and secreted by HIV-1-infected cells in the CNS, despite the most effective suppression therapies available to date. Second, Tat has been shown to alter the functions of several host factors, disrupting the molecular and biochemical balance of numerous pathways contributing to cellular toxicity, dysfunction, and death. In addition, the advantages and disadvantages of ART suppression with regard to controlling the genesis and progression of neurocognitive impairment are currently under debate in the field and are yet to be fully determined. In this review, we discuss the individual and concerted contributions of HIV-1 Tat, drug abuse, and ART with respect to damage in the CNS, and how these factors contribute to the development of HAND in HIV-1-infected patients.

  5. Role of Molecular Interactions for Synergistic Precipitation Inhibition of Poorly Soluble Drug in Supersaturated Drug-Polymer-Polymer Ternary Solution.

    Science.gov (United States)

    Prasad, Dev; Chauhan, Harsh; Atef, Eman

    2016-03-07

    We are reporting a synergistic effect of combined Eudragit E100 and PVP K90 in precipitation inhibition of indomethacin (IND) in solutions at low polymer concentration, a phenomenon that has significant implications on the usefulness of developing novel ternary solid dispersion of poorly soluble drugs. The IND supersaturation was created by cosolvent technique, and the precipitation studies were performed in the absence and the presence of individual and combined PVP K90 and Eudragit E100. The studies were also done with PEG 8000 as a noninteracting control polymer. A continuous UV recording of the IND absorption was used to observe changes in the drug concentration over time. The polymorphic form and morphology of precipitated IND were characterized by Raman spectroscopy and scanning electron microscopy. The change in the chemical shift in solution (1)H NMR was used as novel approach to probe IND-polymer interactions. Molecular modeling was used for calculating binding energy between IND-polymer as another indication of IND-polymer interaction. Spontaneous IND precipitation was observed in the absence of polymers. Eudragit E100 showed significant inhibitory effect on nuclei formation due to stronger interaction as reflected in higher binding energy and greater change in chemical shift by NMR. PVP K90 led to significant crystal growth inhibition due to adsorption on growing IND crystals as confirmed by modified crystal habit of precipitate in the presence of PVP K90. Combination of polymers resulted in a synergistic precipitation inhibition and extended supersaturation. The NMR confirmed interaction between IND-Eudragit E100 and IND-PVP K90 in solution. The combination of polymers showed similar peak shift albeit using lower polymer concentration indicating stronger interactions. The results established the significant synergistic precipitation inhibition effect upon combining Eudragit E100 and PVP K90 due to drug-polymer interaction.

  6. Suppression of gastric acid increases the risk of developing immunoglobulin E-mediated drug hypersensitivity: human diclofenac sensitization and a murine sensitization model.

    Science.gov (United States)

    Riemer, A B; Gruber, S; Pali-Schöll, I; Kinaciyan, T; Untersmayr, E; Jensen-Jarolim, E

    2010-03-01

    Hypersensitivity reactions towards non-steroidal anti-inflammatory drugs (NSAID) are common, although true allergies are detectable only in a subgroup of patients. The current study was prompted by a case observation, where a patient experienced generalized urticaria following his second course of diclofenac and proton pump inhibitor medication, and was found to have diclofenac-specific IgE. During recent years, our group has been investigating the importance of gastric digestion in the development of food allergies, demonstrating anti-acid medication as a risk factor for sensitization against food proteins. Here, we aimed to investigate whether the mechanism of food allergy induction described can also be causative in NSAID allergy, using diclofenac as a paradigm. We subjected BALB/c mice to several oral immunization regimens modelled after the patient's medication intake. Diclofenac was applied with or without gastric acid suppression, in various doses, alone or covalently coupled to albumin, a protein abundant in gastric juices. Immune responses were assessed on the antibody level, and functionally examined by in vitro and in vivo crosslinking assays. Only mice receiving albumin-coupled diclofenac under gastric acid suppression developed anti-diclofenac IgG1 and IgE, whereas no immune responses were induced by the drug alone or without gastric acid suppression. Antibody induction was dose dependent with the group receiving the higher dose of the drug showing sustained anti-diclofenac titres. The antibodies induced triggered basophil degranulation in vitro and positive skin tests in vivo. Gastric acid suppression was found to be a causative mechanism in the induction of IgE-mediated diclofenac allergy.

  7. A serious drug interaction leading to spontaneous total hyphema

    Directory of Open Access Journals (Sweden)

    Trivedi D

    2010-01-01

    Full Text Available A 70 year-old diabetic man receiving anti-coagulant therapy (Warfarin for pulmonary embolism secondary to factor V Leiden deficiency, presented to the hospital for chest pain. After initial evaluation, he was started on aspirin (300 mg and clopidogrel (300 mg. Three days after he was discharged, he presented with preseptal cellulitis complicating left upper eyelid chalazion. Initially, he was treated with several anti-microbial agents used sequentially. Although, the cellulitis resolved, he developed total hyphema of the left eye. The complication seems to have resulted from a complex interaction amongst anti-microbial agents, Warfarin and anti-platelet agents.

  8. Suppression of acetylpolyamine oxidase by selected AP-1 members regulates DNp73 abundance: mechanistic insights for overcoming DNp73-mediated resistance to chemotherapeutic drugs.

    Science.gov (United States)

    Bunjobpol, W; Dulloo, I; Igarashi, K; Concin, N; Matsuo, K; Sabapathy, K

    2014-08-01

    Enhanced resistance to chemotherapy has been correlated with high levels of Delta-Np73 (DNp73), an anti-apoptotic protein of the p53 tumor-suppressor family which inhibits the pro-apoptotic members such as p53 and TAp73. Although genotoxic drugs have been shown to induce DNp73 degradation, lack of mechanistic understanding of this process precludes strategies to enhance the targeting of DNp73 and improve treatment outcomes. Antizyme (Az) is a mediator of ubiquitin-independent protein degradation regulated by the polyamine biosynthesis pathway. We show here that acetylpolyamine oxidase (PAOX), a catabolic enzyme of this pathway, upregulates DNp73 levels by suppressing its degradation via the Az pathway. Conversely, downregulation of PAOX activity by siRNA-mediated knockdown or chemical inhibition leads to DNp73 degradation in an Az-dependent manner. PAOX expression is suppressed by several genotoxic drugs, via selected members of the activator protein-1 (AP-1) transcription factors, namely c-Jun, JunB and FosB, which are required for stress-mediated DNp73 degradation. Finally, chemical- and siRNA-mediated inhibition of PAOX significantly reversed the resistant phenotype of DNp73-overexpressing cancer cells to genotoxic drugs. Together, these data define a critical mechanism for the regulation of DNp73 abundance, and reveal that inhibition of PAOX could widen the therapeutic index of cytotoxic drugs and overcome DNp73-mediated chemoresistance in tumors.

  9. Glucocorticoids in nano-liposomes administered intravenously and subcutaneously to adjuvant arthritis rats are superior to the free drugs in suppressing arthritis and inflammatory cytokines.

    Science.gov (United States)

    Ulmansky, Rina; Turjeman, Keren; Baru, Moshe; Katzavian, Galia; Harel, Michal; Sigal, Alex; Naparstek, Yaakov; Barenholz, Yechezkel

    2012-06-10

    We have previously shown that intravenous (i.v.) treatment with sterically stabilized nano-liposomes (NSSL) actively remote-loaded with the glucocorticoid (GC) methylprednisolone hemisuccinate (NSSL-MPS) or betamethasone hemisuccinate (NSSL-BMS) significantly decreased severity of adjuvant arthritis in Lewis rats (a model of human rheumatoid arthritis) throughout all disease stages. Here, we compared i.v. or subcutaneous (s.c.) weekly treatment with each of the two NSSL-GC to weekly or daily treatment with the free drugs or with the TNF-α antagonists Infliximab and Etanercept. Therapeutic efficacy and effects on the profile of pro-inflammatory (IL-6, TNF-α, and INF-γ) and anti-inflammatory (IL-10 and TGF-β) cytokines in rat sera and splenocyte tissue culture supernatants were compared to those of the liposomal and free drugs. Both s.c. and i.v. NSSL-GC suppressed arthritis significantly, compared to higher doses of the free drugs or to TNF-α antagonists. NSSL-GC also suppressed the secretion of pro-inflammatory cytokines, but did not change the levels of TGF- β. The highly efficacious anti-inflammatory therapeutic feature of these nano-drugs makes them candidates for treatment of human rheumatoid arthritis. Copyright © 2011 Elsevier B.V. All rights reserved.

  10. A pilot study to compare natural health product-drug interactions in two databases in Canada.

    Science.gov (United States)

    Faubert, Guillaume; Lebel, Denis; Bussières, Jean-François

    2010-04-01

    The aim of this article is to evaluate and compare two natural health product databases for the purpose of integrating them into a pharmacy information system in Canada. This is a descriptive pilot study that compared the Natural Medicine Comprehensive Database (NMCD) and Natural Standard Database (NSD). We randomly chose five hospital patient files. For each drug prescription, we searched for and counted the number of potential natural health product-drug interactions in each database. We compared all of the potential interactions between dexamethasone and the natural health products in both databases. We also evaluated the quality of a selection of references for 30 potential natural health product-dexamethasone interactions. Five pediatric patient files were selected for a total of 21 different common names. The number of potential natural health product-drug interactions identified varied from 12 (salbutamol-albuterol) to 129 (dexamethasone) in the NSD for an average of 63 +/- 33. The number of potential natural health product-drug interactions identified varied from 1 (salbutamol-albuterol) to 96 (dexamethasone) in the NMCD for an average of 55 +/- 27. There was no significant difference between the average number of potential natural health product-drug interactions between the databases (P = 0.40). The average number of common potential interactions was 9 +/- 8. Thirty potential interactions of dexamethasone were compared. The number of abstracts per pair of interactions varied from 0 (Aloe-dexamethasone in the NSD) to 17 (dexamethasone-St. John's wort in the NMCD). For the 10 pairs that were common to both databases, the number of abstracts given was 4.5 +/- 4.7 for the NMCD and 3.1 +/- 2.1 for the NSD (P = 0.41) and the average evaluation score was 4.6 +/- 1.5 for the NMCD and 5.6 +/- 1.2 for the NSD (P = 0.43). This pilot study presents a comparison of potential natural health product-drug interactions from two different databases using two different

  11. Arsenic-phosphorus interactions in the soil-plant-microbe system: Dynamics of uptake, suppression and toxicity to plants.

    Science.gov (United States)

    Anawar, Hossain M; Rengel, Zed; Damon, Paul; Tibbett, Mark

    2018-02-01

    High arsenic (As) concentrations in the soil, water and plant systems can pose a direct health risk to humans and ecosystems. Phosphate (Pi) ions strongly influence As availability in soil, its uptake and toxicity to plants. Better understanding of As(V)-Pi interactions in soils and plants will facilitate a