Effects of carbamazepine coadministration on plasma concentrations of the enantiomers of mianserin and of its metabolites.

Concentrations of the enantiomers of unconjugated and of total (unconjugated plus conjugated) mianserin, desmethylmianserin and 8-hydroxymianserin were measured in 12 patients before and after the introduction of carbamazepine. The dose of mianserin was 60 mg/d, carbamazepine was coadministered at 400 mg/d for 4 weeks, and blood samples were taken at weekly intervals after the introduction of carbamazepine. Each week, carbamazepine significantly decreased plasma concentrations of unconjugated and total (S)-mianserin (the more potent enantiomer) and of unconjugated and total (R)-mianserin. On average, plasma concentrations of unconjugated and total (S)-mianserin and of unconjugated and total (R)-mianserin were 55%, 56%, 66%, and 55%, respectively, of the corresponding values before introduction of carbamazepine. These results strongly suggest the involvement of CYP3A4, the major CYP enzyme induced by carbamazepine, in the metabolism of both enantiomers of mianserin. A strong decrease in the concentrations of (S)-8-hydroxymianserin was also measured (on average, the concentrations were 69% of the corresponding values before carbamazepine introduction). Conversely, plasma concentrations of unconjugated and of total (S)-desmethylmianserin, (R)-desmethylmianserin, and (R)-8-hydroxymianserin were only slightly modified by carbamazepine. From a clinical point of view, as a therapeutic window for (S)-mianserin has been recently suggested, the dose of racemic mianserin for a patient whose (S)-mianserin concentrations have been stabilized within this therapeutic window would need to be approximately doubled if carbamazepine, at 400 mg/d, is introduced as a comedication.

Geneva cocktail for cytochrome p450 and P-glycoprotein activity assessment using dried blood spots.

The suitability of the capillary dried blood spot (DBS) sampling method was assessed for simultaneous phenotyping of cytochrome P450 (CYP) enzymes and P-glycoprotein (P-gp) using a cocktail approach. Ten volunteers received an oral cocktail capsule containing low doses of the probes bupropion (CYP2B6), flurbiprofen (CYP2C9), omeprazole (CYP2C19), dextromethorphan (CYP2D6), midazolam (CYP3A), and fexofenadine (P-gp) with coffee/Coke (CYP1A2) on four occasions. They received the cocktail alone (session 1), and with the CYP inhibitors fluvoxamine and voriconazole (session 2) and quinidine (session 3). In session 4, subjects received the cocktail after a 7-day pretreatment with the inducer rifampicin. The concentrations of probes/metabolites were determined in DBS and plasma using a single liquid chromatography-tandem mass spectrometry method. The pharmacokinetic profiles of the drugs were comparable in DBS and plasma. Important modulation of CYP and P-gp activities was observed in the presence of inhibitors and the inducer. Minimally invasive one- and three-point (at 2, 3, and 6 h) DBS-sampling methods were found to reliably reflect CYP and P-gp activities at each session.

Cytochromes P450: génotypage et /ou phénotypage pour l'individualisation du traitement médicamenteux

La réponse aux traitements médicamenteux est affectée par de nombreux facteurs environnementaux et génétiques, dont une part importante est causée par les polymorphismes des cytochromes P450 (CYP). Ces derniers sont responsables, principalement au niveau du foie, du métabolisme de nombreux médicaments. Pour certains CYP, notamment les CYP2D6 et CYP2C19, des phénotypes de mauvais métaboliseurs et de métaboliseurs ultrarapides ont été décrits avec une influence sur la toxicité et/ou la réponse thérapeutique induites par certains médicaments tels que la codéine, le tramadol, le tamoxifen et le clopidogrel. Quelques exemples parmi les plus significatifs sont décrits ici, démontrant que le génotypage et/ou phénotypage des différents CYPs permet d'individualiser et d'améliorer la prescription médicamenteuse par sélection du principe actif et des doses les plus appropriés.

Pharmacodynamic, pharmacokinetic and pharmacogenetic aspects of drugs used in the treatment of Alzheimer's disease.

With the aging population and its rapidly increasing prevalence, dementia has become an important public health concern in developed and developing countries. To date, the pharmacological treatment is symptomatic and based on the observed neurotransmitter disturbances. The four most commonly used drugs are donepezil, galantamine, rivastigmine and memantine. Donepezil, galantamine and rivastigmine are acetylcholinesterase inhibitors with different pharmacodynamic and pharmacokinetic profiles. Donepezil inhibits selectively the acetylcholinesterase and has a long elimination half-life (t½) of 70 h. Galantamine is also a selective acetylcholinesterase inhibitor, but also modulates presynaptic nicotinic receptors. It has a t½ of 6-8 h. Donepezil and galantamine are mainly metabolised by cytochrome P450 (CYP) 2D6 and CYP3A4 in the liver. Rivastigmine is a so-called 'pseudo-irreversible' inhibitor of acetylcholinesterase and butyrylcholinesterase. The t½ of the drug is very short (1-2 h), but the duration of action is longer as the enzymes are blocked for around 8.5 and 3.5 h, respectively. Rivastigmine is metabolised by esterases in liver and intestine. Memantine is a non-competitive low-affinity antagonist of the NMDA receptor with a t½ of 70 h. Its major route of elimination is unchanged via the kidneys. Addressing the issue of inter-patient variability in treatment response might be of special importance for the vulnerable population taking anti-dementia drugs. Pharmacogenetic considerations might help to avoid multiple medication changes due to non-response and/or adverse events. Some pharmacogenetic studies conducted on donepezil and galantamine reported an influence of the CYP2D6 genotype on the pharmacokinetics of the drugs and/or on the response to treatment. Moreover, polymorphisms in genes of the cholinergic markers acetylcholinesterase, butyrylcholinesterase, choline acetyltransferase and paraoxonase were found to be associated with better clinical response to acetylcholinesterase inhibitors. However, confirmation studies in larger populations are necessary to establish evidence of which subgroups of patients will most likely benefit from anti-dementia drugs. The aim of this review is to summarize the pharmacodynamics and pharmacokinetics of the four commonly used anti-dementia drugs and to give an overview on the current knowledge of pharmacogenetics in this field.

Relationship of CYP2D6, CYP3A, POR, and ABCB1 Genotypes With Galantamine Plasma Concentrations.

BACKGROUND:: The frequently prescribed antidementia drug galantamine is extensively metabolized by the enzymes cytochrome P450 (CYP) 2D6 and CYP3A and is a substrate of the P-glycoprotein. We aimed to study the relationship between genetic variants influencing the activity of these enzymes and transporters with galantamine steady state plasma concentrations. METHODS:: In this naturalistic cross-sectional study, 27 older patients treated with galantamine were included. The patients were genotyped for common polymorphisms in CYP2D6, CYP3A4/5, POR, and ABCB1, and galantamine steady state plasma concentrations were determined. RESULTS:: The CYP2D6 genotype seemed to be an important determinant of galantamine pharmacokinetics, with CYP2D6 poor metabolizers presenting 45% and 61% higher dose-adjusted galantamine plasma concentrations than heterozygous and homozygous CYP2D6 extensive metabolizers (median 2.9 versus 2.0 ng/mL·mg, P = 0.025, and 1.8 ng/mL·mg, P = 0.004), respectively. CONCLUSIONS:: The CYP2D6 genotype significantly influenced galantamine plasma concentrations. The influence of CYP2D6 polymorphisms on the treatment efficacy and tolerability should be further investigated.

Cytochrome P450 and ABCB1 genetics: association with quetiapine and norquetiapine plasma and cerebrospinal fluid concentrations and with clinical response in patients suffering from schizophrenia. A pilot study.

Variability in response to atypical antipsychotic drugs is due to genetic and environmental factors. Cytochrome P450 (CYP) isoforms are implicated in the metabolism of drugs, while the P-glycoprotein transporter (P-gp), encoded by the ABCB1 gene, may influence both the blood and brain drug concentrations. This study aimed to identify the possible associations of CYP and ABCB1 genetic polymorphisms with quetiapine and norquetiapine plasma and cerebrospinal fluid (CSF) concentrations and with response to treatment. Twenty-two patients with schizophrenia receiving 600 mg of quetiapine daily were genotyped for four CYP isoforms and ABCB1 polymorphisms. Quetiapine and norquetiapine peak plasma and CSF concentrations were measured after 4 weeks of treatment. Stepwise multiple regression analysis revealed that ABCB1 3435C > T (rs1045642), 2677G > T (rs2032582) and 1236C > T (rs1128503) polymorphisms predicted plasma quetiapine concentrations, explaining 41% of the variability (p = 0.001). Furthermore, the ABCB1 polymorphisms predicted 48% (p = 0.024) of the variability of the Δ PANSS total score, with the non-carriers of the 3435TT showing higher changes in the score. These results suggest that ABCB1 genetic polymorphisms may be a predictive marker of quetiapine treatment in schizophrenia.

CYP3A7, CYP3A5, CYP3A4, and ABCB1 genetic polymorphisms, cyclosporine concentration, and dose requirement in transplant recipients.

Cyclosporine is a substrate of cytochrome P450 (CYP) 3A and of the transporter ABCB1, for which polymorphisms have been described. In particular, CYP3A5 *3/*3 genotype results in the absence of CYP3A5 activity, whereas CYP3A7 *1/*1C genotype results in high CYP3A7 expression in adults. Log-transformed dose-adjusted cyclosporine trough concentration and daily dose per weight were compared 1, 3, 6, and 12 months after transplantation between CYP3A and ABCB1 genotypes in 73 renal (n = 64) or lung (n = 9) transplant recipients. CYP3A5 expressors (*1/*3 genotype; n = 8-10) presented significantly lower dose-adjusted cyclosporine trough concentrations (P < 0.05) and required significantly higher daily doses per weight (P < 0.01) than the nonexpressors (*3/*3 genotype; n = 55-59) 1, 3, 6, and 12 months after transplantation. In addition, 7 days after transplantation, more CYP3A5 expressors had uncorrected trough cyclosporine concentration below the target concentration of 200 ng/mL than the nonexpressors (odds ratio = 7.2; 95% confidence interval = 1.4-37.3; P = 0.009). CYP3A4 rs4646437C>T influenced cyclosporine kinetics, the T carriers requiring higher cyclosporine dose. CYP3A7*1C carriers required a 1.4-fold to 1.6-fold higher cyclosporine daily dose during the first year after transplantation (P < 0.05). In conclusion, CYP3A4, CYP3A5, and CYP3A7 polymorphisms affect cyclosporine metabolism, and therefore, their genotyping could be useful, in association with therapeutic drug monitoring, to prospectively optimize cyclosporine prescription in transplant recipients. The administration of a CYP3A genotype-dependent cyclosporine starting dose should therefore be tested prospectively in a randomized controlled clinical trial to assess whether it leads to an improvement of the patients outcome after transplantation, with adequate immunosuppression and decreased toxicity.

Dosage optimization of treatments using population pharmacokinetic modeling and simulation.

Pharmacokinetic variability in drug levels represent for some drugs a major determinant of treatment success, since sub-therapeutic concentrations might lead to toxic reactions, treatment discontinuation or inefficacy. This is true for most antiretroviral drugs, which exhibit high inter-patient variability in their pharmacokinetics that has been partially explained by some genetic and non-genetic factors. The population pharmacokinetic approach represents a very useful tool for the description of the dose-concentration relationship, the quantification of variability in the target population of patients and the identification of influencing factors. It can thus be used to make predictions and dosage adjustment optimization based on Bayesian therapeutic drug monitoring (TDM). This approach has been used to characterize the pharmacokinetics of nevirapine (NVP) in 137 HIV-positive patients followed within the frame of a TDM program. Among tested covariates, body weight, co-administration of a cytochrome (CYP) 3A4 inducer or boosted atazanavir as well as elevated aspartate transaminases showed an effect on NVP elimination. In addition, genetic polymorphism in the CYP2B6 was associated with reduced NVP clearance. Altogether, these factors could explain 26% in NVP variability. Model-based simulations were used to compare the adequacy of different dosage regimens in relation to the therapeutic target associated with treatment efficacy. In conclusion, the population approach is very useful to characterize the pharmacokinetic profile of drugs in a population of interest. The quantification and the identification of the sources of variability is a rational approach to making optimal dosage decision for certain drugs administered chronically.

Pharmacogenetics-based population pharmacokinetic analysis of etravirine in HIV-1 infected individuals.

OBJECTIVES: Etravirine (ETV) is metabolized by cytochrome P450 (CYP) 3A, 2C9, and 2C19. Metabolites are glucuronidated by uridine diphosphate glucuronosyltransferases (UGT). To identify the potential impact of genetic and non-genetic factors involved in ETV metabolism, we carried out a two-step pharmacogenetics-based population pharmacokinetic study in HIV-1 infected individuals. MATERIALS AND METHODS: The study population included 144 individuals contributing 289 ETV plasma concentrations and four individuals contributing 23 ETV plasma concentrations collected in a rich sampling design. Genetic variants [n=125 single-nucleotide polymorphisms (SNPs)] in 34 genes with a predicted role in ETV metabolism were selected. A first step population pharmacokinetic model included non-genetic and known genetic factors (seven SNPs in CYP2C, one SNP in CYP3A5) as covariates. Post-hoc individual ETV clearance (CL) was used in a second (discovery) step, in which the effect of the remaining 98 SNPs in CYP3A, P450 cytochrome oxidoreductase (POR), nuclear receptor genes, and UGTs was investigated. RESULTS: A one-compartment model with zero-order absorption best characterized ETV pharmacokinetics. The average ETV CL was 41 (l/h) (CV 51.1%), the volume of distribution was 1325 l, and the mean absorption time was 1.2 h. The administration of darunavir/ritonavir or tenofovir was the only non-genetic covariate influencing ETV CL significantly, resulting in a 40% [95% confidence interval (CI): 13-69%] and a 42% (95% CI: 17-68%) increase in ETV CL, respectively. Carriers of rs4244285 (CYP2C19*2) had 23% (8-38%) lower ETV CL. Co-administered antiretroviral agents and genetic factors explained 16% of the variance in ETV concentrations. None of the SNPs in the discovery step influenced ETV CL. CONCLUSION: ETV concentrations are highly variable, and co-administered antiretroviral agents and genetic factors explained only a modest part of the interindividual variability in ETV elimination. Opposing effects of interacting drugs effectively abrogate genetic influences on ETV CL, and vice-versa.

Population pharmacokinetic approach to evaluate the effect of CYP2D6, CYP3A, ABCB1, POR and NR1I2 genotypes on donepezil clearance.

AIMS: A large interindividual variability in plasma concentrations has been reported in patients treated with donepezil, the most frequently prescribed antidementia drug. We aimed to evaluate clinical and genetic factors influencing donepezil disposition in a patient population recruited from a naturalistic setting. METHODS: A population pharmacokinetic study was performed including data from 129 older patients treated with donepezil. The patients were genotyped for common polymorphisms in the metabolic enzymes CYP2D6 and CYP3A, in the electron transferring protein POR and the nuclear factor NR1I2 involved in CYP activity and expression, and in the drug transporter ABCB1. RESULTS: The average donepezil clearance was 7.3 l h(-1) with a 30% interindividual variability. Gender markedly influenced donepezil clearance (P < 0.01). Functional alleles of CYP2D6 were identified as unique significant genetic covariate for donepezil clearance (P < 0.01), with poor metabolizers and ultrarapid metabolizers demonstrating, respectively, a 32% slower and a 67% faster donepezil elimination compared with extensive metabolizers. CONCLUSION: The pharmacokinetic parameters of donepezil were well described by the developed population model. Functional alleles of CYP2D6 significantly contributed to the variability in donepezil disposition in the patient population and should be further investigated in the context of individual dose optimization to improve clinical outcome and tolerability of the treatment.

ABCB1 and cytochrome P450 genotypes and phenotypes: influence on methadone plasma levels and response to treatment.

BACKGROUND AND OBJECTIVE: The in vivo implication of various cytochrome P450 (CYP) isoforms and of P-glycoprotein on methadone kinetics is unclear. We aimed to thoroughly examine the genetic factors influencing methadone kinetics and response to treatment. METHODS: Genotyping for CYP1A2, CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, ABCB1, and UGT2B7 polymorphisms was performed in 245 patients undergoing methadone maintenance treatment. To assess CYP3A activity, the patients were phenotyped with midazolam. RESULTS: The patients with lower CYP3A activity presented higher steady-state trough (R,S)-methadone plasma levels (4.3, 3.0, and 2.3 ng/mL x mg for low, medium, and high activity, respectively; P = .0002). As previously reported, CYP2B6*6/*6 carriers had significantly higher trough (S)-methadone plasma levels (P = .0001) and a trend toward higher (R)-methadone plasma levels (P = .07). CYP2D6 ultrarapid metabolizers presented lower trough (R,S)-methadone plasma levels compared with the extensive or intermediate metabolizers (2.4 and 3.3 ng/mL x mg, respectively; P = .04), whereas CYP2D6 poor metabolizer status showed no influence. ABCB1 3435TT carriers presented lower trough (R,S)-methadone plasma levels (2.7 and 3.4 ng/mL . mg for 3435TT and 3435CC carriers, respectively; P = .01). The CYP1A2, CYP2C9, CYP2C19, CYP3A5, and UGT2B7 genotypes did not influence methadone plasma levels. Only CYP2B6 displayed a stereoselectivity in its activity. CONCLUSION: In vivo, CYP3A4 and CYP2B6 are the major CYP isoforms involved in methadone metabolism, with CYP2D6 contributing to a minor extent. ABCB1 genetic polymorphisms also contribute slightly to the interindividual variability of methadone kinetics. The genetic polymorphisms of these 4 proteins had no influence on the response to treatment and only a small influence on the dose requirement of methadone.

Methadone enantiomer plasma levels, CYP2B6, CYP2C19, and CYP2C9 genotypes, and response to treatment.

BACKGROUND AND OBJECTIVE: Recent in vitro studies have suggested an important role of cytochrome P450 (CYP) 2B6 and CYP2C19 in methadone metabolism. We aimed to determine the influence of CYP2B6, CYP2C9, and CYP2C19 genetic polymorphism on methadone pharmacokinetics and on the response to treatment. METHODS: We included 209 patients in methadone maintenance treatment on the basis of their response to treatment and their daily methadone dose. Patients were genotyped for CYP2B6, CYP2C9, and CYP2C19. Steady-state trough and peak (R)-, (S)-, and (R,S)-plasma levels and peak-to-trough plasma level ratios were measured. RESULTS: CYP2B6 genotype influences (S)-methadone and, to a lesser extent, (R)-methadone plasma levels, with the median trough (S)-methadone plasma levels being 105, 122, and 209 ng . kg/mL . mg for the noncarriers of allele *6, heterozygous carriers, and homozygous carriers (*6/*6), respectively (P = .0004). CYP2C9 and CYP2C19 genotypes do not influence methadone plasma levels. Lower peak and trough plasma levels of methadone and higher peak-to-trough ratios were measured in patients considered as nonresponders [median (R,S)-methadone trough plasma levels of 183 and 249 ng . kg/mL . mg (P = .0004) and median peak-to-trough ratios of 1.82 and 1.58 for high-dose nonresponders and high-dose responders, respectively (P = .0003)]. CONCLUSION: Although CYP2B6 influences (S)-methadone plasma levels, given that only (R)-methadone contributes to the opioid effect of this drug, a major influence of CYP2B6 genotype on response to treatment is unlikely and has not been shown in this study. Lower plasma levels of methadone in nonresponders, suggesting a higher clearance, and higher peak-to-trough ratios, suggesting a shorter elimination half-life, are in agreement with the usual clinical measures taken for such patients, which are to increase methadone dosages and to split the daily dose into several intakes.

Pharmacogenetic Study on Antidementia Drugs

Differences in efficacy and safety of drugs among patients are a recognized problem in pharmacotherapy. The reasons are multifactorial and, therefore, the choice of a drug and its dosage for a particular patient based on different clinical and genetic factors is suggested to improve the clinical outcome. Four drugs are currently used for the treatment of Alzheimer's disease: three acetylcholinesterase inhibitors (donepezil, galantamine, rivastigmine) and the N-methyl-D-aspartate-antagonist memantine. For these drugs, a high interindividual variability in plasma levels was observed, which might influence the response to treatment. The main objective of this thesis was to provide a better understanding of clinical and genetic factors affecting the plasma levels of antidementia drugs. Furthermore, the relationship between plasma levels, genetic variations and side effects was assessed. For this purpose, a pharmacogenetic study was conducted including 300 patients from a naturalistic clinical setting. Analytical methods for the simultaneous measurement of antidementia drugs in plasma have been developed and validated using liquid chromatography methods coupled with mass spectrometry detection. Presently, these methods are used in the therapeutic drug monitoring service of our laboratory. The routine use of therapeutic drug monitoring for antidementia drugs cannot yet be recommended with the available data, but it may be beneficial for some patients in special clinical cases such as insufficient treatment response, side effects or drug interactions. Donepezil and galantamine are extensively metabolized by the liver enzymes cytochromes P450 (CYP) 2D6 and 3A and are substrates of the drug transporter P-glycoprotein. The relationship of variations in genes affecting the activity of these metabolic enzymes and drug transporter (CYP2D6, CYP3A, POR, NR1I2, ABCB1) with donepezil and galantamine plasma levels was investigated. The CYP2D6 genotype appeared to be the major genetic factor involved in the pharmacokinetics of these two drugs. Thus, CYP2D6 poor metabolizers demonstrated significantly higher drug plasma levels than extensive metabolizers. Additionally, in the donepezil study population, the frequency of side effects was significantly increased in poor metabolizers. Lower donepezil plasma levels were observed in ultra rapid metabolizers, which might expose those patients to the risk of non-response. Memantine is mainly eliminated unchanged by the kidney, with implication of tubular secretion by renal transporters. A population pharmacokinetic model was developed to quantify the effects of clinical factors and genetic variations in renal cation transporters (SLC22A1/2/5, SLC47A1, ABCB1), and nuclear receptors (NR1I2, NR1I3, PPARG) involved in transporter expression, on memantine plasma levels. In addition to the renal function and gender, a genetic variation in the nuclear receptor Pregnane-X-Receptor (NR1I2) significantly affected memantine elimination. These findings suggest that an individualized therapy approach for antidementia drugs, taking into account clinical characteristics and genetic background of a patient, might increase efficacy and safety of the treatment. - Les différences interindividuelles dans l'efficacité et la tolérance des médicaments sont un problème connu en pharmacothérapie. Les raisons sont multiples, et le choix du médicament et de la dose, basé sur des facteurs cliniques et génétiques spécifiques au patient, peut contribuer à améliorer la réponse clinique. Quatre médicaments sont couramment utilisés dans le traitement de la maladie d'Alzheimer : trois inhibiteurs de l'acétylcholinestérase (donépézil, galantamine, rivastigmine) et un antagoniste du récepteur N-méthyl-D-aspartate, la mémantine. Une forte variabilité interindividuelle dans les taux plasmatiques de ces quatre composés a été observée, ce qui pourrait influencer la réponse au traitement. L'objectif principal de ce travail de thèse est de mieux comprendre les facteurs cliniques et génétiques influençant les taux des médicaments pro-cognitifs. En outre, des associations entre les taux, la variabilité génétique et les effets secondaires ont été recherchées. Dans ce but, 300 patients sous traitement avec un médicament pro-cognitif ont été recrutés pour une étude pharmacogénétique. Des méthodes de dosage simultané de médicaments pro-cognitifs par chromatographie liquide couplée à la spectrométrie de masse ont été développées et validées. Ces méthodes sont actuellement utilisées dans le service de suivi thérapeutique de notre unité. Malgré le fait qu'un suivi des taux sanguins des pro-cognitifs ne puisse pas encore être recommandé en routine, un dosage peut être utile dans des cas cliniques spécifiques, comme une réponse insuffisante, une intolérance ou une interaction médicamenteuse. Le donépézil et la galantamine sont fortement métabolisés par les cytochromes P450 (CYP) 2D6 et 3A, et sont également substrats du transporteur P-glycoprotéine. Les associations entre les polymorphismes génétiques de ces enzymes, cofacteur, récepteur nucléaire et transporteur (CYP2D6, CYP3A, POR, NR1I2, ABCB1) et les taux de donépézil et de galantamine ont été étudiées. Le génotype du CYP2D6 a été montré comme le facteur génétique majeur impliqué dans la pharmacocinétique de ces deux médicaments. Ainsi, les métaboliseurs déficients du CYP2D6 ont démontré des taux plasmatiques significativement plus élevés comparé aux bons métaboliseurs. De plus, dans la population traitée avec le donépézil, la fréquence des effets secondaires était plus élevée chez les métaboliseurs déficients. Des taux plasmatiques bas ont été mesurés chez les métaboliseurs ultra-rapides traités avec le donépézil, ce qui pourrait être un facteur de risque à une non-réponse au traitement. La mémantine est principalement éliminée sous forme inchangée par les reins, et partiellement par sécrétion tubulaire grâce à des transporteurs rénaux. Un modèle de cinétique de population a été développé pour quantifier les effets des différents facteurs cliniques et de la variabilité génétique des transporteurs rénaux (SLC22A1/2/5, SLC47A1, ABCB1) et des récepteurs nucléaires (NR1I2, NR1I3, PPARG, impliqués dans l'expression des transporteurs) sur les taux plasmatiques de mémantine. En plus de la fonction rénale et du genre, une variation génétique dans le récepteur nucléaire Pregnane-X-Receptor (NR1I2) a montré une influence significative sur l'élimination de la mémantine. Ces résultats suggèrent qu'une approche thérapeutique individualisée, prenant en compte des facteurs cliniques et génétiques du patient, pourrait améliorer l'efficacité et la sécurité du traitement pro-cognitif.

Pharmacogenetics of Antiviral Treatment

RESUME - FRANÇAISRésuméDans ce travail de thèse, l'importance de la pharmacogénétique des traitements antiviraux a été évaluée en déterminant, au moyen de trois différentes approches, l'impact de variations génétiques sur la pharmacocinétique de deux traitements antirétroviraux (à savoir l'efavirenz et le lopinavir) ainsi que sur la capacité de pouvoir éliminer le virus de l'hépatite C de façon naturelle ou suite à un traitement médicamenteux.L'influence des variations génétiques sur les taux plasmatiques de l'efavirenz et de ses métabolites primaires a été évaluée par l'analyse d'un seul gène candidat : le cytochrome P450 (CYP) 2A6, impliqué dans une voie métabolique accessoire de l'efavirenz. Cette étude a permis de démontrer que le génotype du CYP2A6 devient cliniquement déterminant en l'absence de fonction du CYP2B6, impliqué dans la voie métabolique principale, et que la perte simultanée des voies métaboliques principales et accessoires entraine une augmen¬tation du risque d'interruption du traitement, soulignant la valeur prédictive du génotypage.L'influence de la génétique sur la clairance du lopinavir a été évaluée par l'analyse à grande échelle de gènes candidats, à savoir les gènes potentiellement impliqués dans l'absorption, le métabolisme, la distribution et l'élimination d'un médicament. Cette étude a permis l'identification de 4 polymorphismes, dans des transporteurs et des enzymes métaboliques, associés à la clairance du lopinavir et expliquant 5% de la variabilité inter¬individuelle de ce phénotype.L'influence de la génétique sur la capacité d'éliminer le virus de l'hépatite C, de façon naturelle ou à la suite d'un traitement, a été évaluée par l'analyse du génome entier. Cette étude a permis l'identification d'un polymorphisme situé à proximité de l'interféron-X3. Quatre variations génétiques potentiellement causales ont ensuite pu être identifiées par reséquencage. Finalement, la contribution nette de ce gène sur l'élimination du virus a pu être évaluée dans une cohorte infectée par une seule et même source, permettant ainsi de contrôler l'effet de la diversité virale, du genre et de la présence de co-infections.Cette thèse a permis de mettre en évidence les diverses méthodes disponibles pour la recherche en pharmacogénétique, ainsi que l'importance du reséquencage pour l'identification de variations génétiques causales.SUMMARY - ENGLISHSummaryIn this thesis work the relevance of pharmacogenetics of antiviral treatment has been assessed by investigating, through three different approaches, the impact of host genetic variation on antiretroviral drug disposition (namely efavirenz and lopinavir) and on natural or treatment-induced clearance of hepatitis C virus.The influence of host genetic variation on efavirenz and its primary metabolite plasma levels was assessed by single candidate gene approach, through comprehensive analysis of cytochrome P450 (CYP) 2A6 - involved in efavirenz accessory metabolic pathway. The study could demonstrate that CYP2A6 genotype became increasingly relevant in the setting of limited CYP2B6 function - involved in efavirenz main metabolic pathway - and that individuals with both main and accessory metabolic pathways impaired were at higher risk for treatment discontinuation, overall emphasizing the predictive power of genotyping.The influence of host genetic variation on lopinavir clearance was assessed by large scale candidate gene approach, through analysis of genes involved in the absorption, distribution, metabolism and elimination. The study identified four genetic variants in drug transporters and metabolizing enzymes that explained 5% of the interindividual variability in lopinavir clearance.The influence of host genetic variation on hepatitis C virus (HCV) natural or treatment- induced clearance was assessed through genome-wide association study approach. This study identified an intergenic polymorphism, part of a linkage disequilibrium block encompassing the interferon-3 gene, as highly associated with treatment-induced and spontaneous HCV clearance. Resequencing and recombinant mapping lead to the identification of four potentially causal genetic variants. Finally, we could assess the net contribution of genetic variants in interferon-3 to clearance by controlling for viral diversity, gender and co-infection status in a single source infected cohort.This thesis highlights the various genetic tools available to pharmacogenetic discovery (candidate gene, pathway or and genome-wide approaches), and the importance of resequencing for mapping of causal variants.

A microarray-based system for the simultaneous analysis of single nucleotide polymorphisms in human genes involved in the metabolism of anti-malarial drugs

Background: In order to provide a cost-effective tool to analyse pharmacogenetic markers in malaria treatment, DNA microarray technology was compared with sequencing of polymerase chain reaction (PCR) fragments to detect single nucleotide polymorphisms (SNPs) in a larger number of samples. Methods: The microarray was developed to affordably generate SNP data of genes encoding the human cytochrome P450 enzyme family (CYP) and N-acetyltransferase-2 (NAT2) involved in antimalarial drug metabolisms and with known polymorphisms, i.e. CYP2A6, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, and NAT2. Results: For some SNPs, i.e. CYP2A6*2, CYP2B6*5, CYP2C8*3, CYP2C9*3/*5, CYP2C19*3, CYP2D6*4 and NAT2*6/*7/*14, agreement between both techniques ranged from substantial to almost perfect (kappa index between 0.61 and 1.00), whilst for other SNPs a large variability from slight to substantial agreement (kappa index between 0.39 and 1.00) was found, e. g. CYP2D6*17 (2850C>T), CYP3A4*1B and CYP3A5*3. Conclusion: The major limit of the microarray technology for this purpose was lack of robustness and with a large number of missing data or with incorrect specificity.