204 resultados para Cytochrome P450 2D6
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BACKGROUND AND PURPOSE: There is high interindividual variability in the activity of drug-metabolizing enzymes catalysing the oxidation of oxycodone [cytochrome P450 (CYP) 2D6 and 3A], due to genetic polymorphisms and/or drug-drug interactions. The effects of CYP2D6 and/or CYP3A activity modulation on the pharmacokinetics of oxycodone remains poorly explored. EXPERIMENTAL APPROACH: A randomized crossover double-blind placebo-controlled study was performed with 10 healthy volunteers genotyped for CYP2D6 [six extensive (EM), two deficient (PM/IM) and two ultrarapid metabolizers (UM)]. The volunteers randomly received on five different occasions: oxycodone 0.2 mg x kg(-1) and placebo; oxycodone and quinidine (CYP2D6 inhibitor); oxycodone and ketoconazole (CYP3A inhibitor); oxycodone and quinidine+ketoconazole; placebo. Blood samples for plasma concentrations of oxycodone and metabolites (oxymorphone, noroxycodone and noroxymorphone) were collected for 24 h after dosing. Phenotyping for CYP2D6 (with dextromethorphan) and CYP3A (with midazolam) were assessed at each session. KEY RESULTS: CYP2D6 activity was correlated with oxymorphone and noroxymorphone AUCs and C(max) (-0.71 < Spearman correlation coefficient rhos < -0.92). Oxymorphone C(max) was 62% and 75% lower in PM than EM and UM. Noroxymorphone C(max) reduction was even more pronounced (90%). In UM, oxymorphone and noroxymorphone concentrations increased whereas noroxycodone exposure was halved. Blocking CYP2D6 (with quinidine) reduced oxymorphone and noroxymorphone C(max) by 40% and 80%, and increased noroxycodone AUC(infinity) by 70%. Blocking CYP3A4 (with ketoconazole) tripled oxymorphone AUC(infinity) and reduced noroxycodone and noroxymorphone AUCs by 80%. Shunting to CYP2D6 pathway was observed after CYP3A4 inhibition. CONCLUSIONS AND IMPLICATIONS: Drug-drug interactions via CYP2D6 and CYP3A affected oxycodone pharmacokinetics and its magnitude depended on CYP2D6 genotype.
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Background and purpose: There is high interindividual variability in the activity of drug-metabolizing enzymes catalysing the oxidation of oxycodone [cytochrome P450 (CYP) 2D6 and 3A], due to genetic polymorphisms and/or drug-drug interactions. The effects of CYP2D6 and/or CYP3A activity modulation on the pharmacokinetics of oxycodone remains poorly explored. Experimental approach: A randomized crossover double-blind placebo-controlled study was performed with 10 healthy volunteers genotyped for CYP2D6 [six extensive (EM), two deficient (PM/IM) and two ultrarapid metabolizers (UM)]. The volunteers randomly received on five different occasions: oxycodone 0.2 mg·kg−1 and placebo; oxycodone and quinidine (CYP2D6 inhibitor); oxycodone and ketoconazole (CYP3A inhibitor); oxycodone and quinidine+ketoconazole; placebo. Blood samples for plasma concentrations of oxycodone and metabolites (oxymorphone, noroxycodone and noroxymorphone) were collected for 24 h after dosing. Phenotyping for CYP2D6 (with dextromethorphan) and CYP3A (with midazolam) were assessed at each session. Key results: CYP2D6 activity was correlated with oxymorphone and noroxymorphone AUCs and Cmax (−0.71 < Spearman correlation coefficient ρs < −0.92). Oxymorphone Cmax was 62% and 75% lower in PM than EM and UM. Noroxymorphone Cmax reduction was even more pronounced (90%). In UM, oxymorphone and noroxymorphone concentrations increased whereas noroxycodone exposure was halved. Blocking CYP2D6 (with quinidine) reduced oxymorphone and noroxymorphone Cmax by 40% and 80%, and increased noroxycodone AUC∞ by 70%. Blocking CYP3A4 (with ketoconazole) tripled oxymorphone AUC∞ and reduced noroxycodone and noroxymorphone AUCs by 80%. Shunting to CYP2D6 pathway was observed after CYP3A4 inhibition. Conclusions and implications: Drug-drug interactions via CYP2D6 and CYP3A affected oxycodone pharmacokinetics and its magnitude depended on CYP2D6 genotype.
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Methadone is widely used for the treatment of opioid dependence. Although in most countries the drug is administered as a racemic mixture of (R)- and (S)- methadone, (R)-methadone accounts for most, if not all, of the opioid effects. Methadone can be detected in the blood 15-45 minutes after oral administration, with peak plasma concentration at 2.5-4 hours. Methadone has a mean bioavailability of around 75% (range 36-100%). Methadone is highly bound to plasma proteins, in particular to alpha(1)-acid glycoprotein. Its mean free fraction is around 13%, with a 4-fold interindividual variation. Its volume of distribution is about 4 L/kg (range 2-13 L/kg). The elimination of methadone is mediated by biotransformation, followed by renal and faecal excretion. Total body clearance is about 0.095 L/min, with wide interindividual variation (range 0.02-2 L/min). Plasma concentrations of methadone decrease in a biexponential manner, with a mean value of around 22 hours (range 5-130 hours) for elimination half-life. For the active (R)-enantiomer, mean values of around 40 hours have been determined. Cytochrome P450 (CYP) 3A4 and to a lesser extent 2D6 are probably the main isoforms involved in methadone metabolism. Rifampicin (rifampin), phenobarbital, phenytoin, carbamazepine, nevirapine, and efavirenz decrease methadone blood concentrations, probably by induction of CYP3A4 activity, which can result in severe withdrawal symptoms. Inhibitors of CYP3A4, such as fluconazole, and of CYP2D6, such as paroxetine, increase methadone blood concentrations. There is an up to 17-fold interindividual variation of methadone blood concentration for a given dosage, and interindividual variability of CYP enzymes accounts for a large part of this variation. Since methadone probably also displays large interindividual variability in its pharmacodynamics, methadone treatment must be individually adapted to each patient. Because of the high morbidity and mortality associated with opioid dependence, it is of major importance that methadone is used at an effective dosage in maintenance treatment: at least 60 mg/day, but typically 80-100 mg/day. Recent studies also show that a subset of patients might benefit from methadone dosages larger than 100 mg/day, many of them because of high clearance. In clinical management, medical evaluation of objective signs and subjective symptoms is sufficient for dosage titration in most patients. However, therapeutic drug monitoring can be useful in particular situations. In the case of non-response trough plasma concentrations of 400 microg/L for (R,S)-methadone or 250 microg/L for (R)-methadone might be used as target values.
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The role of cytochrome P450 in the metabolism of dextromethorphan, amitriptyline, midazolam, S-mephenytoin, citalopram, fluoxetine and sertraline was investigated in rat and human brain microsomes. Depending on the parameters, the limit of quantification using gas chromatography-mass spectrometry methods was between 1.6 and 20 pmol per incubation, which generally contained 1500 microg protein. Amitriptyline was shown to be demethylated to nortriptyline by both rat and human microsomes. Inhibition studies using ketoconazole, furafylline, sulfaphenazole, omeprazole and quinidine suggested that CYP3A4 is the isoform responsible for this reaction whereas CYP1A2, CYP2C9, CYP2C19 and CYP2D6 do not seem to be involved. This result was confirmed by using a monoclonal antibody against CYP3A4. Dextromethorphan was metabolized to dextrorphan in rat brain microsomes and was inhibited by quinidine and by a polyclonal antibody against CYP2D6. Only the addition of exogenous reductase allowed the measurement of this activity in human brain microsomes. Metabolites of the other substrates could not be detected, possibly due to an insufficiently sensitive method. It is concluded that cytochrome P450 activity in the brain is very low, but that psychotropic drugs could undergo a local cerebral metabolism which could have pharmacological and/or toxicological consequences.
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The selective serotonin reuptake inhibitor fluoxetine is administered as a racemic mixture, and R- and S-fluoxetine are metabolized in the liver by N-demethylation to R- and S-norfluoxetine, respectively. R- and S-fluoxetine and S-norfluoxetine are equally potent selective serotonin reuptake inhibitors, but R-norfluoxetine is 20-fold less potent in this regard. Racemic fluoxetine and norfluoxetine are potent inhibitors of cytochrome P450 (CYP) 2D6 in vivo and in vitro and recent studies in vivo have shown that racemic fluoxetine is metabolized by CYP2D6. The primary aim of the present study was to investigate the stereoselective metabolism of fluoxetine and norfluoxetine by CYP2D6 in vivo. A single oral dose of fluoxetine (60 mg) was administered to six poor and six extensive metabolizers of sparteine. Blood samples were collected during 6 weeks for poor metabolizers and 3 weeks for extensive metabolizers. Once a week a sparteine test was performed. The R- and S-enantiomers of fluoxetine and norfluoxetine were determined by a stereoselective gas chromatography-mass spectroscopy method. In the poor metabolizers, the oral clearance of R- and S-fluoxetine was 3.0 l/h and 17 l/h, respectively, the corresponding values in the extensive metabolizers were 36 l/h and 40 l/h, respectively. For both enantiomers, the phenotype difference was statistically significant. In poor metabolizers, the elimination half-lives were 6.9 days and 17.4 days for R- and S-norfluoxetine, respectively, and in the extensive metabolizers it was 5.5 days for both enantiomers, a significant phenotypical difference only for S-norfluoxetine. For fluoxetine the elimination half-lives were 9.5 and 6.1 days in poor metabolizers for the R- and S-enantiomer, respectively. The corresponding values in the extensive metabolizers were 2.6 and 1.1 days, respectively. Also for this parameter, the differences were statistically significant. This study shows that CYP2D6 catalyses the metabolism of R- and S-fluoxetine and most likely the further metabolism of S-norfluoxetine but not of R-norfluoxetine.
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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.
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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.
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BACKGROUND: High interindividual variability in plasma concentrations of risperidone and its active metabolite, 9-hydroxyrisperidone, may lead to suboptimal drug concentration. OBJECTIVE: Using a population pharmacokinetic approach, we aimed to characterize the genetic and non-genetic sources of variability affecting risperidone and 9-hydroxyrisperidone pharmacokinetics, and relate them to common side effects. METHODS: Overall, 150 psychiatric patients (178 observations) treated with risperidone were genotyped for common polymorphisms in NR1/2, POR, PPARα, ABCB1, CYP2D6 and CYP3A genes. Plasma risperidone and 9-hydroxyrisperidone were measured, and clinical data and common clinical chemistry parameters were collected. Drug and metabolite concentrations were analyzed using non-linear mixed effect modeling (NONMEM(®)). Correlations between trough concentrations of the active moiety (risperidone plus 9-hydroxyrisperidone) and common side effects were assessed using logistic regression and linear mixed modeling. RESULTS: The cytochrome P450 (CYP) 2D6 phenotype explained 52 % of interindividual variability in risperidone pharmacokinetics. The area under the concentration-time curve (AUC) of the active moiety was found to be 28 % higher in CYP2D6 poor metabolizers compared with intermediate, extensive and ultrarapid metabolizers. No other genetic markers were found to significantly affect risperidone concentrations. 9-hydroxyrisperidone elimination was decreased by 26 % with doubling of age. A correlation between trough predicted concentration of the active moiety and neurologic symptoms was found (p = 0.03), suggesting that a concentration >40 ng/mL should be targeted only in cases of insufficient, or absence of, response. CONCLUSIONS: Genetic polymorphisms of CYP2D6 play an important role in risperidone, 9-hydroxyrisperidone and active moiety plasma concentration variability, which were associated with common side effects. These results highlight the importance of a personalized dosage adjustment during risperidone treatment.
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Currently, smoking cessation represents one of the main strategies to reduce the incidence of tobacco-related diseases in the population. Smoking can also influence pharmacotherapy through several pharmacokinetic or pharmacodynamic interactions. Some of the most concerned drugs are those metabolized by the cytochrome P450 (CYP) 1A2 enzyme (e.g. caffeine, theophylline, clozapine, olanzapine, duloxetine), whose activity is induced by the polycyclic aromatic hydrocarbons found in tobacco smoke. This can result in a clinically significant decrease in the pharmacological effect of the drugs and the need of higher doses in smokers. Conversely, upon smoking cessation, toxic plasma levels of the drugs can be reached. The main objective of this thesis was to study the interindividual variability in CYP1A2 induction in a large cohort of smokers, by measuring CYP1A2 activity before smoking cessation and one month later in continuously abstinent subjects. For this purpose, a clinical study was conducted, including 194 smokers from the general population who wished to participate in a smoking cessation program and therefore received medical counseling and substitution therapy (nicotine or varenicline). An analytical method for the simultaneous quantification of nicotine, its metabolites and varenicline in plasma was developed and validated using ultra performance liquid chromatography coupled with tandem mass spectrometry. This method was used to confirm abstinence at different time points during the follow-up. Moreover, it was used to determine plasma levels of the smoking cessation drugs, to be used in the study of their pharmacogenetics, which was the secondary objective of this thesis. High interindividual variability in CYP1A2 induction by smoking was observed, ranging from no change to approximately 7 times decreased CYP1A2 activity after smoking cessation. Several clinical and genetic factors were investigated in an attempt to explain this variability. Firstly, a significant influence of CYP1A2*1F and *1D alleles, of contraceptive use and of the number of cigarettes smoked per day on CYP1A2 induced activity was observed, and of CYP1A2*1F and the use of contraceptives on the basal activity. But no influence of these factors was found on CYP1A2 inducibility. Given that known genetic polymorphisms in CYP1A2 gene were shown to explain only poorly the observed variations in activity, additional genetic factors were studied. SNPs in the CYP oxidoreductase (POR) gene were found to influence CYP1A2 basal activity, but not the induction. Finally, a pathway-based approach allowed to identify SNPs in genes coding for nuclear receptors (CAR, RXRa, VDR, PXR) and induction-mediating receptors (AhR), which significantly influenced CYP1A2 inducibility and basal activity (SNPs in the gene coding for CAR and RXRa). As secondary objective of the study, the pharmacogenetics of nicotine and varenicline is being investigated. Therefore, the nicotine metabolite ratio is used in the attempt to better explain nicotine dependence and the failure/success of quitting smoking. A population pharmacokinetic model is being developed for varenicline, integrating clinical and genetic factors (genes coding for its metabolizing enzymes and transporters), with the purpose of trying to predict efficacy and side effects. These findings suggest that the influence of smoking on pharmacotherapy could be better managed by including clinical and possibly in the future genetic factors, in the assessment of the adaptations needed when a person starts or stops smoking. - L'arrêt du tabac représente une des principales stratégies pour diminuer l'incidence des maladies causées par celui-ci. Le tabagisme peut influencer la thérapie médicamenteuse par des interactions pharmacocinétiques ou pharmacodynamiques. Parmi les médicaments concernés, il y a ceux métabolisés par le cytochrome P450 (CYP) 1A2 (caféine, théophylline, clozapine, olanzapine, duloxétine, etc), dont l'activité enzymatique est induite par les hydrocarbures aromatiques polycycliques présents dans la fumée de cigarette. Ceci peut se traduire par une diminution de l'effet pharmacologique du traitement et la nécessité d'augmenter les doses d'entretien chez les fumeurs. Au contraire, à l'arrêt de la cigarette, les taux plasmatiques des médicaments peuvent devenir toxiques. L'objectif principal de cette thèse était d'étudier la variabilité interindividuelle dans l'induction du CYP1A2 dans une large cohorte de fumeurs, par la mesure de l'activité du CYP1A2 avant l'arrêt de la cigarette, ainsi qu'un mois après chez les sujets abstinents. Pour ce faire, une étude clinique a été conduite, incluant 194 fumeurs de la population générale dans un programme d'arrêt du tabac offrant des consultations spécifiques et un traitement pharmacologique (nicotine ou varénicline). Une méthode analytique pour la quantification simultanée de la nicotine, ses métabolites et la varénicline dans le plasma par chromatographie liquide couplée à la spectrométrie de masse en tandem à été développée et validée. Cette méthode a été utilisée pour confirmer l'abstinence pendant l'étude et déterminer les taux plasmatiques des médicaments, dans le but d'étudier leur pharmacogénétique. Une grande variabilité interindividuelle dans l'induction du CYP1A2 par la fumée a été observée, parfois sans changement et pouvant aller jusqu'à une diminution d'environ 7 fois l'activité du CYP1A2 après l'arrêt de la cigarette. Plusieurs facteurs cliniques et génétiques ont été étudiés pour essayer d'expliquer cette variabilité. Tout d'abord, on a observé une influence significative: des allèles CYP1A2*1F et *1D, des contraceptifs et du nombre de cigarettes fumées par jour sur l'activité induite du CYP1A2, ainsi que l'influence de l'allèle *1F et des contraceptifs sur l'activité basale. Cependant, aucune influence de ces facteurs n'a été démontrée sur l'inductibilité du CYP1A2. Étant donné que les polymorphismes génétiques du CYP1A2 apportent peu de renseignements sur la variabilité de son activité, des facteurs génétiques supplémentaires ont été étudiés. Des polymorphismes dans le gène POR (CYP oxidoreductase) ont été associés à l'activité basale du CYP1A2, mais pas à l'induction. Finalement, une approche basée sur la voie de signalisation du CYP1A2 a permis d'identifier des polymorphismes dans des gènes codant pour des récepteurs nucléaires (CAR, RXRa, VDR, PXR) et d'autres liés à l'induction (AhR) qui influencent significativement l'inductibilité et l'activité basale (les SNPs du CAR et RXRa). L'objectif secondaire de cette étude était d'investiguer la pharmacogénétique de la nicotine et de la varénicline. Le ratio métabolique de la nicotine est utilisé pour mieux expliquer la dépendance à la nicotine et le succès/échec de l'arrêt de la cigarette. Un modèle pharmacocinétique de population est en cours de développement pour la varénicline, intégrant des facteurs cliniques et génétiques (gènes codant pour ses enzymes de métabolisme et transporteurs), pour tenter de prédire son efficacité et ses effets secondaires. Les résultats de cette thèse suggèrent que l'influence du tabagisme sur la pharmacothérapie serait mieux gérée par l'inclusion des facteurs cliniques et peut-être, dans le futur, génétiques, dans l'évaluation des adaptations nécessaires lorsqu'une personne fume ou arrête de fumer. - l'arrêt du tabac représente une des principales stratégies pour diminuer l'incidence des maladies causées par celui-ci dans la population. Le tabagisme peut influencer les traitements médicamenteux, soit en modifiant leur élimination par l'organisme, soit en agissant sur leur mode d'action. Parmi les médicaments les plus concernés, on retrouve par exemple: la caféine, la théophylline, la clozapine, l'olanzapine, la duloxétine, dont l'élimination est accélérée par la fumée de cigarette (induction enzymatique). Ceci peut se traduire par une diminution de l'effet du traitement et la nécessité d'en augmenter les doses chez les fumeurs. Au contraire, à l'arrêt de la cigarette, on observe un ralentissement de la fonction enzymatique, qui a pour conséquence une augmentation du taux de médicament dans le sang, pouvant devenir toxique. L'objectif principal de cette thèse était d'étudier comment cette induction par le tabac varie dans une population de fumeurs, par la mesure de l'activité de l'enzyme avant l'arrêt de la cigarette, ainsi qu'un mois après chez les sujets abstinents. Pour ce faire, une étude clinique a été conduite, incluant 194 fumeurs de la population générale dans un programme d'arrêt du tabac offrant des consultations spécifiques et un traitement médicamenteux (nicotine ou varénicline). Une méthode analytique a été mise au point pour mesurer la quantité de nicotine, de ses produits de dégradation et de la varénicline dans le sang des participants à l'étude. De plus, cette méthode a été utilisée pour confirmer l'abstinence pendant l'étude. Une grande variabilité interindividuelle a été observée dans l'induction de l'enzyme par la fumée; il en résulte aucun changement d'activité chez certains sujets après l'arrêt de la cigarette, alors que pour d'autres elle peut être diminuée jusqu'à 7 fois. Plusieurs facteurs cliniques et génétiques ont été étudiés pour essayer d'expliquer cette variabilité. Premièrement, une influence sur l'activité de l'enzyme a été observée pour les contraceptifs hormonaux et le nombre de cigarettes fumées par jour, ainsi que pour certaines variations génétiques dans le gène codant pour l'enzyme d'intérêt, mais il η y a pas eu d'influence sur l'induction. Par la suite, des variations génétiques dans d'autres gènes influençant le fonctionnement de l'enzyme ont été associées soit avec son activité, soit avec son induction par le tabac. Finalement, l'étude propose également d'investiguer si le métabolisme de la nicotine a une influence sur la dépendance, les symptômes de sevrage et le succès/échec de l'arrêt de la cigarette. Des variations génétiques dans les gènes du métabolisme de la varénicline sont également étudiées en lien avec les quantités de varénicline mesurées dans le sang ainsi que les effets du médicament. Ceci permettra peut-être de prédire son efficacité et ses effets secondaires. Les résultats de cette thèse suggèrent que l'influence du tabagisme sur la thérapie médicamenteuse serait mieux gérée en tenant compte des facteurs cliniques et peut-être, dans le futur, de la génétique dans l'adaptation des traitements, que la personne soit fumeuse ou en phase d'arrêt.
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BACKGROUND:HIV-1-infected patients vary considerably by their response to antiretroviral treatment, drug concentrations in plasma, toxic events, and rate of immune recovery. This variability could have a genetic basis. We did a pharmacogenetics study to analyse the association between response to antiretroviral treatment and allelic variants of several genes. METHODS:In 123 patients, we did PCR analyses of the gene for the multidrug-resistance transporter (MDR1), which codes for P-glycoprotein, of genes coding for isoenzymes of cytochrome P450, CYP3A4, CYP3A5, CYP2D6, and CYP2C19, and of the gene for the chemokine receptor CCR5. We measured concentrations in plasma of the antiretroviral agents efavirenz and nelfinavir by high-performance liquid-chromatography, and measured levels of P-glycoprotein expression, CD4-cell count, and HIV-1 viraemia. FINDINGS: Median drug concentrations in patients with the MDR1 3435 TT, CT, and CC genotypes were at the 30th, 50th, and 75th percentiles, respectively (p=0.0001). In patients with CYP2D6 extensive-metaboliser or poor-metaboliser alleles, median drug concentrations were at percentiles 45 and 62.5, respectively (p=0.04). Patients with the MDR1 TT genotype 6 months after starting treatment had a greater rise in CD4-cell count (257 cells/microL) than patients with the CT (165 cells/microL) and CC (121 cells/microL) genotype (p=0.0048), and the best recovery of naïve CD4-cells. INTERPRETATION:The polymorphism MDR1 3435 C/T predicts immune recovery after initiation of antiretroviral treatment. This finding suggests that P-glycoprotein has an important role in admittance of antiretroviral drugs to restricted compartments in vivo.
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BACKGROUND AND OBJECTIVES: Cytochrome P450 (CYP) 3A4 is the main CYP isozyme involved in methadone metabolism. We investigated the influence of grapefruit juice, which contains inhibitors of intestinal CYP3A, on the steady-state pharmacokinetics of methadone. METHODS: For 5 days, 8 patients undergoing methadone maintenance treatment received 200 mL water or grapefruit juice 30 minutes before and again together with their daily dose of methadone. Blood sampling for R-, S-, and R,S-methadone plasma determination was performed over a 24-hour period. CYP3A activity was determined by measuring the plasma 1'-hydroxymidazolam/midazolam ratio. RESULTS: A decrease in the midazolam ratio was measured in all patients after grapefruit juice (mean +/- SD before grapefruit juice, 9.3 +/- 5.9; mean +/- SD after grapefruit juice, 3.9 +/- 1.2; P <.05). Grapefruit juice led to a mean 17% increase in the area under the curve extrapolated to 24 hours for both enantiomers of methadone (range, 3% to 29% [P <.005]; range, -4% to 37% [P <.05]; and range, 1% to 32% [P <.01]; for R-, S-, and R,S-methadone, respectively). A similar increase in peak level and decrease in apparent clearance were measured with grapefruit juice, whereas time to peak level, terminal half-life, and apparent volume during the terminal phase of R-, S-, and R,S-methadone were not affected by grapefruit juice. No symptom of overmedication was either detected by the clinical staff or reported by the patients. CONCLUSIONS: Grapefruit juice administration is associated with a modest increase in methadone bioavailability, which is not expected to endanger patients. However, it cannot be excluded that a much stronger effect may occur in some patients, and thus grapefruit juice intake is not recommended during methadone maintenance treatment, in particular in patients initiating such a treatment.
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Aggregating fetal liver cell cultures were tested for their ability to metabolize xenobiotics using ethoxycoumarin-O-deethylase (ECOD), as marker of phase I metabolism, and glutathione S-transferase (GST), as marker for phase II reactions. Significant basal activities, stable over 14 days in culture were measured for both ECOD and GST activities. The prototype cytochrome P450 inducers, 3-methylcholanthrene (3-MC) and phenobarbital (PB), increased ECOD and GST activities reaching an optimum 7 days after culturing, followed by a decline in activity. This decline was partially prevented by 1% dimethyl sulfoxide (DMSO) added chronically to the culture medium. DMSO was also found to induce ECOD activity and to a lesser extent GST activity. Furthermore, it potentiated in a dose-dependent manner the induction of ECOD by PB. The food-borne carcinogen 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx) is metabolically transformed through a number of pathways in vivo. It was therefore used to examine the metabolic capacity in fetal and adult liver cell aggregates. Metabolism of MeIQx was mainly through N2-conjugation, resulting in formation of the N2-glucuronide and sulfamate conjugates for non-induced fetal liver cells. These metabolites were also found in large amounts in non-induced adult liver cells. Low levels of cytochrome P450-mediated ring-hydroxylated metabolites were detected in both non-induced fetal and adult liver cells. After induction with arochlor (PCB) or 3-MC, the major pathway was ring-hydroxylation (cytochrome P450 dependent), followed by conjugation to beta-glucuronic or sulfuric acid. The presence of the glucuronide conjugate of N-hydroxy-MeIQx, a mutagenic metabolite, suggested an induction of P450 CYP1A2. The metabolism of MeIQx by liver cell aggregates is very similar to that observed in vivo and suggests that aggregating liver cell cultures are a useful model for in vitro metabolic studies in toxicology.
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OBJECTIVE: Renal cytochrome P450 3A5 (CYP3A5) activity has been associated with blood pressure and salt sensitivity in humans. We determined whether CYP3A5 polymorphisms are associated with ambulatory blood pressure (ABP) and with glomerular filtration rate (GFR) in African families. METHODS: Using a cross-sectional design, 375 individuals from 72 families, each with at least two hypertensive siblings, were recruited through a hypertension register in the Seychelles (Indian Ocean). We analyzed the association between the CYP3A5 alleles (*1, *3, *6 and *7) and ABP, GFR and renal sodium handling (fractional excretion of lithium), from pedigree data, allowing for other covariates and familial correlations. RESULTS: CYP3A5*1 carriers increased their daytime systolic and diastolic ABP with age (0.55 and 0.23 mmHg/year) more than non-carriers (0.21 and 0.04 mmHg/year). CYP3A5*1 had a significant main effect on daytime systolic/diastolic ABP [regression coefficient (SE): -29.6 (10.0)/-8.2 (4.1) mmHg, P = 0.003/0.045, respectively] and this effect was modified by age (CYP3A5*1 x age interactions, P = 0.017/0.018). For night-time ABP, the effect of CYP3A5*1 was modified by urinary sodium excretion, not by age. For renal function, CYP3A5*1 carriers had a 7.6(3.8) ml/min lower GFR (P = 0.045) than non-carriers. Proximal sodium reabsorption decreased with age in non-carriers, but not in CYP3A5*1 carriers (P for interaction = 0.02). CONCLUSIONS: These data demonstrate that CYP3A5 polymorphisms are associated with ambulatory BP, CYP3A5*1 carriers showing a higher age- and sodium- related increase in ABP than non-carriers. The age effect may be due, in part, to the action of CYP3A5 on renal sodium handling.
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Ants are some of the most abundant and familiar animals on Earth, and they play vital roles in most terrestrial ecosystems. Although all ants are eusocial, and display a variety of complex and fascinating behaviors, few genomic resources exist for them. Here, we report the draft genome sequence of a particularly widespread and well-studied species, the invasive Argentine ant (Linepithema humile), which was accomplished using a combination of 454 (Roche) and Illumina sequencing and community-based funding rather than federal grant support. Manual annotation of >1,000 genes from a variety of different gene families and functional classes reveals unique features of the Argentine ant's biology, as well as similarities to Apis mellifera and Nasonia vitripennis. Distinctive features of the Argentine ant genome include remarkable expansions of gustatory (116 genes) and odorant receptors (367 genes), an abundance of cytochrome P450 genes (>110), lineage-specific expansions of yellow/major royal jelly proteins and desaturases, and complete CpG DNA methylation and RNAi toolkits. The Argentine ant genome contains fewer immune genes than Drosophila and Tribolium, which may reflect the prominent role played by behavioral and chemical suppression of pathogens. Analysis of the ratio of observed to expected CpG nucleotides for genes in the reproductive development and apoptosis pathways suggests higher levels of methylation than in the genome overall. The resources provided by this genome sequence will offer an abundance of tools for researchers seeking to illuminate the fascinating biology of this emerging model organism.
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Induction of drug-metabolizing enzymes (DMEs) is highly species-specific and can lead to drug-drug interaction and toxicities. In this series of studies we tested the species specificity of the antidiabetic drug development candidate and mixed peroxisome proliferator-activated receptor (PPAR) alpha/gamma agonist (S)-4-O-tolylsulfanyl-2-(4-trifluormethyl-phenoxy)-butyric acid (EMD 392949, EMD) with regard to the induction of gene expression and activities of DMEs, their regulators, and typical PPAR target genes. EMD clearly induced PPARalpha target genes in rats in vivo and in rat hepatocytes but lacked significant induction of DMEs, except for cytochrome P450 (P450) 4A. CYP2C and CYP3A were consistently induced in livers of EMD-treated monkeys. Interestingly, classic rodent peroxisomal proliferation markers were induced in monkeys after 17 weeks but not after a 4-week treatment, a fact also observed in human hepatocytes after 72 h but not 24 h of EMD treatment. In human hepatocyte cultures, EMD showed similar gene expression profiles and induction of P450 activities as in monkeys, indicating that the monkey is predictive for human P450 induction by EMD. In addition, EMD induced a similar gene expression pattern as the PPARalpha agonist fenofibrate in primary rat and human hepatocyte cultures. In conclusion, these data showed an excellent correlation of in vivo data on DME gene expression and activity levels with results generated in hepatocyte monolayer cultures, enabling a solid estimation of human P450 induction. This study also clearly highlighted major differences between primates and rodents in the regulation of major inducible P450s, with evidence of CYP3A and CYP2C inducibility by PPARalpha agonists in monkeys and humans.