A modular approach for integrative analysis of large-scale gene-expression and drug-response data

High-throughput technologies are now used to generate more than one type of data from the same biological samples. To properly integrate such data, we propose using co-modules, which describe coherent patterns across paired data sets, and conceive several modular methods for their identification. We first test these methods using in silico data, demonstrating that the integrative scheme of our Ping-Pong Algorithm uncovers drug-gene associations more accurately when considering noisy or complex data. Second, we provide an extensive comparative study using the gene-expression and drug-response data from the NCI-60 cell lines. Using information from the DrugBank and the Connectivity Map databases we show that the Ping-Pong Algorithm predicts drug-gene associations significantly better than other methods. Co-modules provide insights into possible mechanisms of action for a wide range of drugs and suggest new targets for therapy

Population based models of cortical drug response: insights from anaesthesia

A great explanatory gap lies between the molecular pharmacology of psychoactive agents and the neurophysiological changes they induce, as recorded by neuroimaging modalities. Causally relating the cellular actions of psychoactive compounds to their influence on population activity is experimentally challenging. Recent developments in the dynamical modelling of neural tissue have attempted to span this explanatory gap between microscopic targets and their macroscopic neurophysiological effects via a range of biologically plausible dynamical models of cortical tissue. Such theoretical models allow exploration of neural dynamics, in particular their modification by drug action. The ability to theoretically bridge scales is due to a biologically plausible averaging of cortical tissue properties. In the resulting macroscopic neural field, individual neurons need not be explicitly represented (as in neural networks). The following paper aims to provide a non-technical introduction to the mean field population modelling of drug action and its recent successes in modelling anaesthesia.

Increasing relevance of pharmacogenetics of drug metabolism in clinical practice

Much of the individual variation in drug response is due to genetic drug metabolic polymorphisms. Clinically relevant examples include acetylator status; cytochrome P450 2D6, 2C9 and 2C19 polymorphisms; and thiopurine methyltransferase deficiency. It is important to be aware of which drugs are subject to pharmacogenetic variability. In the future, population-based pharmacogenetic testing will allow more individualized drug treatment and will avoid the current empiricism.

Antimalarial Drug Resistance: Surveillance and Molecular Methods for National Malaria Control Programmes

National malaria control programmes have the responsibility to develop a policy for malaria disease management based on a set of defined criteria as efficacy, side effects, costs and compliance. These will fluctuate over time and national guidelines will require periodic re-assessment and revision. Changing a drug policy is a major undertaking that can take several years before being fully operational. The standard methods on which a decision can be taken are the in vivo and the in vitro tests. The latter allow a quantitative measurement of the drug response and the assessment of several drugs at once. However, in terms of drug policy change its results might be difficult to interpret although they may be used as an early warning system for 2nd or 3rd line drugs. The new WHO 14-days in vivo test addresses mainly the problem of treatment failure and of haematological parameters changes in sick children. It gives valuable information on whether a drug still `works'. None of these methods are well suited for large-scale studies. Molecular methods based on detection of mutations in parasite molecules targeted by antimalarial drugs could be attractive tools for surveillance. However, their relationship with in vivo test results needs to be established

Therapeutic drug monitoring and metabolites profil analysis of antiviral drugs

The widespread use of combination antiretroviral therapy (ARVs) has considerably improved the prognosis of patients infected with HIV. Conversely, considerable advances have been recently realized for the therapy of hepatitis C infection with the recent advent of potent new anti-HCV drugs that allow an increasing rate HCV infection cure. Despite their overall efficacy, a significant number of patients do not achieve or maintain adequate clinical response, defined as an undetectable viral load for HIV, and a sustained virological response (or cure) in HCV infection. Treatment failure therefore still remains an important issue besides drugs toxicities and viral resistance which is not uncommon in a significant percentage of patients who do not reach adequate virological suppression. The reasons of variability in drug response are multifactorial and apart from viral genetics, other factors such as environmental factors, drug- drug interactions, and imperfect compliance may have profound impact on antiviral drugs' clinical response. The possibility of measuring plasma concentration of antiviral drugs enables to guide antiviral drug therapy and ensure optimal drug exposure. The overall objective of this research was to widen up the current knowledge on pharmacokinetic and pharmacogenetic factors that influence the clinical response and toxicity of current and newly approved antiretroviral and anti-HCV drugs. To that endeavour, analytical methods using liquid chromatography coupled with tandem mass spectrometry have been developed and validated for the precise and accurate measurement of new antiretroviral and anti-HCV drugs . These assays have been applied for the TDM of ARVs and anti-HCV in patients infected with either HIV or HCV respectively, and co-infected with HIV- HCV. A pharmacokinetic population model was developed to characterize inter and intra-patient variability of rilpivirine, the latest marketed Non Nucleoside Reverse transcriptase (NNRTI) Inhibitor of HIVand to identify genetic and non genetic covariates influencing rilpivirine exposure. None of the factors investigated so far showed however any influence of RPV clearance. Importantly, we have found that the standard daily dosage regimen (25 mg QD) proposed for rilpivirine results in concentrations below the proposed therapeutic target in about 40% of patients. In these conditions, virologie escape is a potential risk that remains to be further investigated, notably via the TDM approach that can be a useful tool to identify patients who are at risk for being exposed to less than optimal levels of rilpivirine in plasma. Besides the last generation NNRTI rilpivirine, we have studied efavirenz, the major NNRTI clinically used so far. Namely for efavirenz, we aimed at identifying a potential new marker of toxicity that may be incriminated for the neuropsychological sides effects and hence discontinuation of efavirenz therapy. To that endeavour, a comprehensive analysis of phase I and phase II metabolites profiles has been performed in plasma, CSF and in urine from patients under efavirenz therapy. We have found that phase II metabolites of EFV constitute the major species circulating in blood, sometimes exceeding the levels of the parent drug efavirenz. Moreover we have identified a new metabolite of efavirenz in humans, namely the 8-OH-EFV- sulfate which is present at high concentrations in all body compartments from patients under efavirenz therapy. These investigations may open the way to possible alternate phenotypic markers of efavirenz toxicity. Finally, the specific influence of P-glycoprotein on the cellular disposition of a series ARVs (NNRTIs and Pis] has been studies in in vitro cell systems using the siRNA silencing approach. -- Depuis l'introduction de la thérapie antirétrovirale (ARVs) la morbidité et la mortalité liées au VIH ont considérablement diminué. En parallèle le traitement contre le virus de l'hépatite C (VHC) a connu récemment d'énormes progrès avec l'arrivée de nouveaux médicaments puissants, ce qui a permis une augmentation considérable de la guérison de l'infection par le VHC. En dépit de l'efficacité de ces traitements antiviraux, les échecs thérapeutiques ainsi que les effets secondaires des traitements restent un problème important. Une réponse imparfaite ou la toxicité du traitement est certainement multifactorielle. Le suivi thérapeutique des médicaments [Therapeutic Drug Monitoring TDM) à travers la mesure des concentrations plasmatiques constitue une approche importante pour guider le traitement médicamenteux et de s'assurer que les patients sont exposés à des concentrations optimales des médicaments dans le sang, et puissent tirer tout le bénéfice potentiel du traitement. L'objectif global de cette thèse était d'étudier les facteurs pharmacocinétiques et pharmacogénétiques qui influencent l'exposition des médicaments antiviraux (ARVs et anti- VHC) récemment approuvés. A cet effet, des méthodes de quantification des concentrations plasmatiques des médicaments antirétroviraux, anti-VHC ainsi que pour certains métabolites ont été développées et validées en utilisant la Chromatographie liquide couplée à la spectrométrie de masse tandem. Ces méthodes ont été utilisées pour le TDM des ARVs et pour les agents anti-VHC chez les patients infectés par le VIH, et le VHC, respectivement, mais aussi chez les patients co-infectés par le VIH-VHC. Un modèle de pharmacocinétique de population a été développé pour caractériser la variabilité inter-et intra-patient du médicament rilpivirine, un inhibiteur non nucléosidique de la transcriptase de VIH et d'identifier les variables génétiques et non génétiques influençant l'exposition au médicament. Aucun des facteurs étudiés n'a montré d'influence notable sur la clairance de la rilpivirine. Toutefois, la concentration résiduelle extrapolée selon le modèle de pharmacocinétique de population qui a été développé, a montré qu'une grande proportion des patients présente des concentrations minimales inférieures à la cible thérapeutique proposée. Dans ce contexte, la relation entre les concentrations minimales et l'échappement virologique nécessite une surveillance étroite des taux sanguins des patients recevant de la rilpivirine. A cet effet, le suivi thérapeutique est un outil important pour l'identification des patients à risque soient sous-exposés à lai rilpivirine. Pour identifier de nouveaux marqueurs de la toxicité qui pourraient induire l'arrêt du traitement, le profil des métabolites de phase I et de phase II a été étudié dans différentes matrices [plasma, LCR et urine) provenant de patients recevant de l'efavirenz. Les métabolites de phase II, qui n'avaient à ce jour jamais été investigués, constituent les principales espèces présentes dans les matrices étudiées. Au cours de ces investigations, un nouveau métabolite 8- OH-EFV-sulfate a été identifié chez l'homme, et ce dernier est. présent à des concentrations importantes. L'influence de certains facteurs pharmacogénétique des patients sur le profil des métabolites a été étudiée et ouvre la voie à de possibles nouveaux marqueurs phénotypiques alternatifs qui pourraient possiblement mieux prédire la toxicité associée au traitement par l'efavirenz. Finalement, nous nous sommes intéressés à étudier dans un modèle in vitro certains facteurs, comme la P-glycoprotéine, qui influencent la disposition cellulaire de certains médicaments antirétroviraux, en utilisant l'approche par la technologie du siRNA permettant de bloquer sélectivement l'expression du gène de cette protéine d'efflux des médicaments. -- Depuis l'introduction de la thérapie antiretrovirale (ARVs] la morbidité et la mortalité liées au VIH ont considérablement diminué. En parallèle le traitement contre le virus de l'hépatite C (VHC) a connu récemment d'énormes progrès avec l'arrivée de nouveaux médicaments puissants, ce qui a permis une augmentation considérable de la guérison de l'infection par le VHC. En dépit de l'efficacité de ces traitements antiviraux, les échecs thérapeutiques ainsi que les effets secondaires des traitements restent un problème important. Il a pu être démontré que la concentration de médicament présente dans l'organisme est corrélée avec l'efficacité clinique pour la plupart des médicaments agissant contre le VIH et contre le VHC. Les médicaments antiviraux sont généralement donnés à une posologie fixe et standardisée, à tous les patients, il existe cependant une importante variabilité entre les concentrations sanguines mesurées chez les individus. Cette variabilité peut être expliquée par plusieurs facteurs démographiques, environnementaux ou génétiques. Dans ce contexte, le suivi des concentrations sanguines (ou Therapeutic Drug Monitoring, TDM) permet de contrôler que les patients soient exposés à des concentrations suffisantes (pour bloquer la réplication du virus dans l'organisme) et éviter des concentrations excessives, ce qui peut entraîner l'apparition d'intolérence au traitement. Le but de ce travail de thèse est d'améliorer la compréhension des facteurs pharmacologiques et génétiques qui peuvent influencer l'efficacité et/ou la toxicité des médicaments antiviraux, dans le but d'améliorer le suivi des patients. A cet effet, des méthodes de dosage très sensibles et ont été mises au point pour permettre de quantifier les médicaments antiviraux dans le sang et dans d'autres liquides biologiques. Ces méthodes de dosage sont maintenant utilisées d'une part dans le cadre de la prise en charge des patients en routine et d'autre part pour diverses études cliniques chez les patients infectés soit par le HIV, le HCV ou bien coinfectés par les deux virus. Une partie de ce travail a été consacrée à l'investigation des différents facteurs démographiques, génétiques et environnementaux qui pourraient l'influencer la réponse clinique à la rilpivirine, un nouveau médicament contre le VIH. Toutefois, parmi tous les facteurs étudiés à ce jour, aucun n'a permis d'expliquer la variabilité de l'exposition à la rilpivirine chez les patients. On a pu cependant observer qu'à la posologie standard recommandée, un pourcentage relativement élevé de patients pourrait présenter des concentrations inférieures à la concentration sanguine minimale actuellement proposée. Il est donc utile de surveiller étroitement les concentrations de rilpivirine chez les patients pour identifier sans délai ceux qui risquent d'être sous-exposés. Dans l'organisme, le médicament subit diverses transformations (métabolisme) par des enzymes, notamment dans le foie, il est transporté dans les cellules et tissus par des protéines qui modulent sa concentration au site de son action pharmacologique. A cet effet, différents composés (métabolites) produits dans l'organisme après l'administration d'efavirenz, un autre médicament anti-VIH, ont été étudiés. En conclusion, nous nous sommes intéressés à la fois aux facteurs pharmacologiques et génétiques des traitements antiviraux, une approche qui s'inscrit dans l'optique d'une stratégie globale de prise en charge du patient. Dans ce contexte, le suivi des concentrations sanguines de médicaments constitue une des facettes du domaine émergent de la Médecine Personnalisée qui vise à maximiser le bénéfice thérapeutique et le profil de tolérance des médicaments antiviraux

Therapeutic drug monitoring and pharmacogenetic tests as tools in pharmacovigilance.

Therapeutic drug monitoring (TDM) and pharmacogenetic tests play a major role in minimising adverse drug reactions and enhancing optimal therapeutic response. The response to medication varies greatly between individuals, according to genetic constitution, age, sex, co-morbidities, environmental factors including diet and lifestyle (e.g. smoking and alcohol intake), and drug-related factors such as pharmacokinetic or pharmacodynamic drug-drug interactions. Most adverse drug reactions are type A reactions, i.e. plasma-level dependent, and represent one of the major causes of hospitalisation, in some cases leading to death. However, they may be avoidable to some extent if pharmacokinetic and pharmacogenetic factors are taken into consideration. This article provides a review of the literature and describes how to apply and interpret TDM and certain pharmacogenetic tests and is illustrated by case reports. An algorithm on the use of TDM and pharmacogenetic tests to help characterise adverse drug reactions is also presented. Although, in the scientific community, differences in drug response are increasingly recognised, there is an urgent need to translate this knowledge into clinical recommendations. Databases on drug-drug interactions and the impact of pharmacogenetic polymorphisms and adverse drug reaction information systems will be helpful to guide clinicians in individualised treatment choices.

Computational analysis of the genetic and environmental contributions to disease-related human phenotypes: From predicting adverse lipid response of HIV patients receiving antiretroviral therapy to genome-wide association studies of cardiovascular and lipid related disorders

Genetic variants influence the risk to develop certain diseases or give rise to differences in drug response. Recent progresses in cost-effective, high-throughput genome-wide techniques, such as microarrays measuring Single Nucleotide Polymorphisms (SNPs), have facilitated genotyping of large clinical and population cohorts. Combining the massive genotypic data with measurements of phenotypic traits allows for the determination of genetic differences that explain, at least in part, the phenotypic variations within a population. So far, models combining the most significant variants can only explain a small fraction of the variance, indicating the limitations of current models. In particular, researchers have only begun to address the possibility of interactions between genotypes and the environment. Elucidating the contributions of such interactions is a difficult task because of the large number of genetic as well as possible environmental factors.In this thesis, I worked on several projects within this context. My first and main project was the identification of possible SNP-environment interactions, where the phenotypes were serum lipid levels of patients from the Swiss HIV Cohort Study (SHCS) treated with antiretroviral therapy. Here the genotypes consisted of a limited set of SNPs in candidate genes relevant for lipid transport and metabolism. The environmental variables were the specific combinations of drugs given to each patient over the treatment period. My work explored bioinformatic and statistical approaches to relate patients' lipid responses to these SNPs, drugs and, importantly, their interactions. The goal of this project was to improve our understanding and to explore the possibility of predicting dyslipidemia, a well-known adverse drug reaction of antiretroviral therapy. Specifically, I quantified how much of the variance in lipid profiles could be explained by the host genetic variants, the administered drugs and SNP-drug interactions and assessed the predictive power of these features on lipid responses. Using cross-validation stratified by patients, we could not validate our hypothesis that models that select a subset of SNP-drug interactions in a principled way have better predictive power than the control models using "random" subsets. Nevertheless, all models tested containing SNP and/or drug terms, exhibited significant predictive power (as compared to a random predictor) and explained a sizable proportion of variance, in the patient stratified cross-validation context. Importantly, the model containing stepwise selected SNP terms showed higher capacity to predict triglyceride levels than a model containing randomly selected SNPs. Dyslipidemia is a complex trait for which many factors remain to be discovered, thus missing from the data, and possibly explaining the limitations of our analysis. In particular, the interactions of drugs with SNPs selected from the set of candidate genes likely have small effect sizes which we were unable to detect in a sample of the present size (<800 patients).In the second part of my thesis, I performed genome-wide association studies within the Cohorte Lausannoise (CoLaus). I have been involved in several international projects to identify SNPs that are associated with various traits, such as serum calcium, body mass index, two-hour glucose levels, as well as metabolic syndrome and its components. These phenotypes are all related to major human health issues, such as cardiovascular disease. I applied statistical methods to detect new variants associated with these phenotypes, contributing to the identification of new genetic loci that may lead to new insights into the genetic basis of these traits. This kind of research will lead to a better understanding of the mechanisms underlying these pathologies, a better evaluation of disease risk, the identification of new therapeutic leads and may ultimately lead to the realization of "personalized" medicine.

Implementation of bayesian therapeutic drug monitoring in modern patient care

The variability observed in drug exposure has a direct impact on the overall response to drug. The largest part of variability between dose and drug response resides in the pharmacokinetic phase, i.e. in the dose-concentration relationship. Among possibilities offered to clinicians, Therapeutic Drug Monitoring (TDM; Monitoring of drug concentration measurements) is one of the useful tool to guide pharmacotherapy. TDM aims at optimizing treatments by individualizing dosage regimens based on blood drug concentration measurement. Bayesian calculations, relying on population pharmacokinetic approach, currently represent the gold standard TDM strategy. However, it requires expertise and computational assistance, thus limiting its large implementation in routine patient care. The overall objective of this thesis was to implement robust tools to provide Bayesian TDM to clinician in modern routine patient care. To that endeavour, aims were (i) to elaborate an efficient and ergonomic computer tool for Bayesian TDM: EzeCHieL (ii) to provide algorithms for drug concentration Bayesian forecasting and software validation, relying on population pharmacokinetics (iii) to address some relevant issues encountered in clinical practice with a focus on neonates and drug adherence. First, the current stage of the existing software was reviewed and allows establishing specifications for the development of EzeCHieL. Then, in close collaboration with software engineers a fully integrated software, EzeCHieL, has been elaborated. EzeCHieL provides population-based predictions and Bayesian forecasting and an easy-to-use interface. It enables to assess the expectedness of an observed concentration in a patient compared to the whole population (via percentiles), to assess the suitability of the predicted concentration relative to the targeted concentration and to provide dosing adjustment. It allows thus a priori and a posteriori Bayesian drug dosing individualization. Implementation of Bayesian methods requires drug disposition characterisation and variability quantification trough population approach. Population pharmacokinetic analyses have been performed and Bayesian estimators have been provided for candidate drugs in population of interest: anti-infectious drugs administered to neonates (gentamicin and imipenem). Developed models were implemented in EzeCHieL and also served as validation tool in comparing EzeCHieL concentration predictions against predictions from the reference software (NONMEM®). Models used need to be adequate and reliable. For instance, extrapolation is not possible from adults or children to neonates. Therefore, this work proposes models for neonates based on the developmental pharmacokinetics concept. Patients' adherence is also an important concern for drug models development and for a successful outcome of the pharmacotherapy. A last study attempts to assess impact of routine patient adherence measurement on models definition and TDM interpretation. In conclusion, our results offer solutions to assist clinicians in interpreting blood drug concentrations and to improve the appropriateness of drug dosing in routine clinical practice.

Genomics and drug profiling of fatal TCF3-HLF-positive acute lymphoblastic leukemia identifies recurrent mutation patterns and therapeutic options.

TCF3-HLF-positive acute lymphoblastic leukemia (ALL) is currently incurable. Using an integrated approach, we uncovered distinct mutation, gene expression and drug response profiles in TCF3-HLF-positive and treatment-responsive TCF3-PBX1-positive ALL. We identified recurrent intragenic deletions of PAX5 or VPREB1 in constellation with the fusion of TCF3 and HLF. Moreover somatic mutations in the non-translocated allele of TCF3 and a reduction of PAX5 gene dosage in TCF3-HLF ALL suggest cooperation within a restricted genetic context. The enrichment for stem cell and myeloid features in the TCF3-HLF signature may reflect reprogramming by TCF3-HLF of a lymphoid-committed cell of origin toward a hybrid, drug-resistant hematopoietic state. Drug response profiling of matched patient-derived xenografts revealed a distinct profile for TCF3-HLF ALL with resistance to conventional chemotherapeutics but sensitivity to glucocorticoids, anthracyclines and agents in clinical development. Striking on-target sensitivity was achieved with the BCL2-specific inhibitor venetoclax (ABT-199). This integrated approach thus provides alternative treatment options for this deadly disease.

Histone H2B-R95A mutant identifies the pheromone pathway that signals cell cycle arrest during rapamycin response

La rapamycine est un immunosuppresseur utilisé pour traiter plusieurs types de maladies dont le cancer du rein. Son fonctionnement par l’inhibition de la voie de Tor mène à des changements dans des processus physiologiques, incluant le cycle cellulaire. Chez Saccharomyces cerevisiae, la rapamycine conduit à une altération rapide et globale de l’expression génique, déclenchant un remodelage de la chromatine. Nous proposons que les modifications des histones peuvent jouer un rôle crucial dans le remodelage de la chromatine en réponse à la rapamycine. Notre objectif principal est d’identifier d’une banque de mutants d’histone les variantes qui vont échouer à répondre à la rapamycine dans une tentative de réaliser une caractérisation des modifications d’histone critiques pour la réponse à cette drogue. Ainsi, nous avons réalisé un criblage d’une banque de mutants d’histone et identifié plusieurs mutants d‘histone dont la résistance à la rapamycine a été altérée. Nous avons caractérisé une de ces variantes d’histone, à savoir H2B, qui porte une substitution de l’alanine en arginine en position 95 (H2B-R95A) et démontré que ce mutant est extrêmement résistant à la rapamycine, et non à d’autres drogues. Des immunoprécipitations ont démontré que H2B-R95A est défectueux pour former un complexe avec Spt16, un facteur essentiel pour la dissociation de H2A et H2B de la chromatine, permetant la réplication et la transcription par les ADN et ARN polymérases, respectivement. Des expériences de ChIP-Chip et de micropuce ont démontré que l’arginine 95 de H2B est requise pour recruter Spt16 afin de permettre l’expression d’une multitude de gènes, dont certains font partie de la voie des phéromones. Des évidences seront présentées pour la première fois démontrant que la rapamycine peut activer la voie des phéromones et qu’une défectuosité dans cette voie cause la résistante à cette drogue.

Therapeutic response of benzodiazepine, orphenadrine citrate and occlusal splint association in TMD pain

Loss of function, muscle inflammation, and pain are some of the signs and symptoms of temporomandibular dysfunction (TMD). Pharmacological strategies to minimize the clinical manifestation of these disorders often focus on blocking or inhibiting the pain-causing symptom. Resources such as muscle-relaxants, anxiety-relief drugs, and splint therapy are often used to reduce muscular hyperactivity related to TMD muscle pain. This study compares the effect of a randomly ordered association of occlusal splint therapy (S), nonsteroid anti-inflammatory with a muscle-relaxant drug (orphenadrine citrate) (O), and an anxiety-relief drug (benzodiazepine) (B), to ease painful TMD muscle symptoms. Clinical and anamnestic analyses were recorded in accordance with the Helkimo TMD index and applied before and after treatments. Twenty-one group two Helkimo TMD adult female patients were treated, all of whom were subjected to the three random therapeutic associations proposed: SBO, BOS, and OSB. The same operator applied the three specific associations over a period of 21 days in the proposed sequence, seven days for each therapy. The results show that all the groups presented the best results in terms of relief from pain after the therapeutic association (28.5% showed a decrease and 47.6% showed an absence of symptoms). No significant difference was observed among association therapeutic protocols. Copyright © 2003 by CHROMA, Inc.

In vitro detection of cytotoxic T and NK cells in peripheral blood of patients with various drug-induced skin diseases

BACKGROUND: Cytotoxic cells are involved in most forms of drug-induced skin diseases. Till now, no in vitro test addressed this aspect of drug-allergic responses. Our report evaluates whether drug-induced cytotoxic cells can be detected in peripheral blood of nonacute patients with different forms of drug hypersensitivity, and also whether in vitro detection of these cells could be helpful in drug-allergy diagnosis. METHODS: GranzymeB enzyme-linked immunosorbent spot-forming (ELISPOT) and cell surface expression of the degranulation marker CD107a were evaluated on peripheral blood mononuclear cells from 12 drug-allergic patients in remission state and 16 drug-exposed healthy controls. RESULTS: In 10/12 allergic patients culprit but not irrelevant drug elicited granzymeB release after 48-72 h stimulation. It was clearly positive in patients with high proliferative response to the drug, measured in lymphocyte transformation tests. In patients, who showed moderate or low proliferation and low drug-response in granzymeB ELISPOT, overnight preincubation with interleukin (IL)-7/IL-15 enhanced drug-specific granzymeB release and allowed to clearly identify the offending agent. CD107a staining was positive on CD4+/CD3+, CD8+/CD3+ T cells as well as CD56+/CD3- natural killer cells. None of the drug-exposed healthy donors reacted to the tested drugs and allergic patients reacted only to the offending, but not to tolerated drugs. CONCLUSION: GranzymeB ELISPOT is a highly specific in vitro method to detect drug-reacting cytotoxic cells in peripheral blood of drug-allergic patients even several years after disease manifestation. Together with IL-7/IL-15 preincubation, it may be helpful in indentifying the offending drug even in some patients with weak proliferative drug-response.

Meta-analysis of the population and phenotypic expression of CYP2C9/2C19 polymorphism on drug metabolism in different ethnicities

The term "pharmacogenetics" has been defined as the scientific study of inherited factors that affect the human drug response. Many pharmacogenetie studies have been published since 1995 and have focussed on the principal enzyme family involved in drug metabolism, the cytochrome P450 family, particularly cytochrome P4502C9 and 2C19. In order to investigate the pharmacogenetic aspect of pharmacotherapy, the relevant studies describing the association of pharmacogenetic factor(s) in drug responses must be retrieved from existing literature using a systematic review approach. In addition, the estimation of variant allele prevalence for the gene under study between different ethnic populations is important for pharmacogenetic studies. In this thesis, the prevalence of CYP2C9/2C19 alleles between different ethnicities has been estimated through meta-analysis and the population genetic principle. The clinical outcome of CYP2C9/2C19 allelic variation on the pharmacotherapy of epilepsy has been investigated; although many new antiepileptic drugs have been launched into the market, carbamazepine, phenobarbital and phenytoin are still the major agents in the pharmacotherapy of epilepsy. Therefore, phenytoin was chosen as a model AED and the effect of CYP2C9/2C19 genetic polymorphism on phenytoin metabolism was further examined.An estimation of the allele prevalence was undertaken for three CYP2C9/2C19 alleles respectively using a meta-analysis of studies that fit the Hardy-Weinberg equilibrium. The prevalence of CYP2C9*1 is approximately 81%, 96%, 97% and 94% in Caucasian, Chinese, Japanese, African populations respectively; the pooled prevalence of CYP2C19*1 is about 86%, 57%, 58% and 85% in these ethnic populations respectively. However, the studies of association between CYP2C9/2C19 polymorphism and phenytoin metabolism failed to achieve any qualitative or quantitative conclusion. Therefore, mephenytoin metabolism was examined as a probe drug for association between CYP2C19 polymorphism and mephenytoin metabolic ratio. Similarly, analysis of association between CYP2C9 polymorphism and warfarin dose requirement was undertaken.It was confirmed that subjects carrying two mutated CYP2C19 alleles have higher S/R mephenytoin ratio due to deficient CYP2C19 enzyme activity. The studies of warfarin and CYP2C9 polymorphism did not provide a conclusive result due to poor comparability between studies.The genetic polymorphism of drug metabolism enzymes has been studied extensively, however other genetic factors, such as multiple drug resistance genes (MDR) and genes encoding ion channels, which may contribute to variability in function of drug transporters and targets, require more attention in future pharmacogenetic studies of antiepileptic drugs.

Genetic Background of Patients from a University Medical Center in Manhattan: Implications for Personalized Medicine

Background: The rapid progress currently being made in genomic science has created interest in potential clinical applications; however, formal translational research has been limited thus far. Studies of population genetics have demonstrated substantial variation in allele frequencies and haplotype structure at loci of medical relevance and the genetic background of patient cohorts may often be complex. Methods and Findings: To describe the heterogeneity in an unselected clinical sample we used the Affymetrix 6.0 gene array chip to genotype self-identified European Americans (N = 326), African Americans (N = 324) and Hispanics (N = 327) from the medical practice of Mount Sinai Medical Center in Manhattan, NY. Additional data from US minority groups and Brazil were used for external comparison. Substantial variation in ancestral origin was observed for both African Americans and Hispanics; data from the latter group overlapped with both Mexican Americans and Brazilians in the external data sets. A pooled analysis of the African Americans and Hispanics from NY demonstrated a broad continuum of ancestral origin making classification by race/ethnicity uninformative. Selected loci harboring variants associated with medical traits and drug response confirmed substantial within-and between-group heterogeneity. Conclusion: As a consequence of these complementary levels of heterogeneity group labels offered no guidance at the individual level. These findings demonstrate the complexity involved in clinical translation of the results from genome-wide association studies and suggest that in the genomic era conventional racial/ethnic labels are of little value.

Tumor slices as a model to evaluate doxorubicin in vitro treatment and expression of trios of genes PRSS11, MTSS1, CLPTM1 and PRSS11, MTSS1, SMYD2 in canine mammary gland cancer

Background: In women with breast cancer submitted to neoadjuvant chemotherapy based in doxorubicin, tumor expression of groups of three genes (PRSS11, MTSS1, CLPTM1 and PRSS11, MTSS1, SMYD2) have classified them as responsive or resistant. We have investigated whether expression of these trios of genes could predict mammary carcinoma response in dogs and whether tumor slices, which maintain epithelial-mesenchymal interactions, could be used to evaluate drug response in vitro. Methods: Tumors from 38 dogs were sliced and cultured with or without doxorubicin 1 mu M for 24 h. Tumor cells were counted by two observers to establish a percentage variation in cell number, between slices. Based on these results, a reduction in cell number between treated and control samples >= 21.7%, arbitrarily classified samples, as drug responsive. Tumor expression of PRSS11, MTSS1, CLPTM1 and SMYD2, was evaluated by real time PCR. Relative expression results were then transformed to their natural logarithm values, which were spatially disposed according to the expression of trios of genes, comprising PRSS11, MTSS1, CLPTM1 and PRSS11, MTSS1, SMYD2. Fisher linear discrimination test was used to generate a separation plane between responsive and non-responsive tumors. Results: Culture of tumor slices for 24 h was feasible. Nine samples were considered responsive and 29 non-responsive to doxorubicin, considering the pre-established cut-off value of cell number reduction = 21.7%, between doxorubicin treated and control samples. Relative gene expression was evaluated and tumor samples were then spatially distributed according to the expression of the trios of genes: PRSS11, MTSS1, CLPTM1 and PRSS11, MTSS1, SMYD2. A separation plane was generated. However, no clear separation between responsive and non-responsive samples could be observed. Conclusion: Three-dimensional distribution of samples according to the expression of the trios of genes PRSS11, MTSS1, CLPTM1 and PRSS11, MTSS1, SMYD2 could not predict doxorubicin in vitro responsiveness. Short term culture of mammary gland cancer slices may be an interesting model to evaluate chemotherapy activity.