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Modelling the influence of MDR1 polymorphism on digoxin pharmacokinetic parameters.
Comets E., Verstuyft C., Lavielle M., Jaillon P., Becquemont L., Mentré F.
European Journal of Clinical Pharmacology 63, 5 (2007) 437-49 - http://www.hal.inserm.fr/inserm-00146888
Modelling the influence of MDR1 polymorphism on digoxin pharmacokinetic parameters.
Emmanuelle Comets ( ) 1, Céline Verstuyft 2, 3, Marc Lavielle 4, Patrice Jaillon 5, Laurent Becquemont 2, 3, 6, France Mentré 1, 7
1 :  Modèles et méthodes de l'évaluation thérapeutique des maladies chroniques
INSERM : U738 – Université Paris VII - Paris Diderot
Faculté de médecine Paris 7 16, Rue Henri Huchard 75018 Paris
France
2 :  Centre d'investigation Biologique (CIB)
Assistance publique - Hôpitaux de Paris (AP-HP) – Hôpital Bicêtre – Université Paris XI - Paris Sud
Faculté de Médecine Paris-Sud, 94275 Le Kremlin-Bicêtre, France
France
3 :  Département de Pharmacologie
Université Paris XI - Paris Sud
Faculté de médecine Paris Sud, 94275 Le Kremlin Bicêtre
France
4 :  Département de Mathématiques, Université Paris Sud
Université Paris XI - Paris Sud
France
5 :  Service de pharmacologie - Dosage de médicaments [Saint-Antoine]
Assistance publique - Hôpitaux de Paris (AP-HP) – Hôpital Saint-Antoine – Université Pierre et Marie Curie [UPMC] - Paris VI
184, rue du Faubourg Saint-Antoine 75012 Paris
France
6 :  Unité de recherche clinique (URC)
Assistance publique - Hôpitaux de Paris (AP-HP) – Hôpital Bicêtre – Université Paris XI - Paris Sud
Faculté de Médecine Paris-Sud, 94275 Le Kremlin-Bicêtre
France
7 :  Département d'épidémiologie, biostatistique et recherche clinique
Assistance publique - Hôpitaux de Paris (AP-HP) – Hôpital Bichat - Claude Bernard
46 rue Henri Huchard 75018 Paris
France
OBJECTIVES: Digoxin is a well-known probe for the activity of P-glycoprotein. The objective of this work was to apply different methods for covariate selection in non-linear mixed-effect models to study the relationship between the pharmacokinetic parameters of digoxin and the genotype for two major exons located on the multi-drug-resistance 1 (MDR1) gene coding for P-glycoprotein. METHODS: Thirty-two healthy volunteers were recruited in three pharmacokinetic drug interaction studies. The data after a single oral administration of digoxin alone were pooled. All subjects were genotyped for the MDR1 C3435T and G2677T/A genotypes. The concentration-time profile of digoxin was established using 12-16 blood samples taken between 15 min and 72 h after administration. We modelled the pharmacokinetics of digoxin using non-linear mixed-effect models. Parameter estimation was performed using the stochastic approximation EM method (SAEM). We used three methods to select the covariate model: selection from a full model using Wald tests, forward inclusion using the log-likelihood ratio test and model selection using the Bayesian Information Criterion. RESULTS: The three covariate inclusion methods led to the same final model. Carriers of two T alleles for the C3435T polymorphism in exon 26 of MDR1 had a lower apparent volume of distribution than carriers of a C allele. The only other covariate effect was a shorter absorption time-lag in women. CONCLUSION: The apparent volume of distribution of digoxin is lower in TT subjects, probably reflecting differences in bioavailability. Non-linear mixed-effect models can be useful for detecting the influence of covariates on pharmacokinetic parameters.
Articles dans des revues avec comité de lecture
Sciences du Vivant/Bio-Informatique, Biostatistique
Anglais
0031-6970

European Journal of Clinical Pharmacology (Eur J Clin Pharmacol)
Publisher Springer Verlag (Germany)
ISSN 0031-6970 (eISSN : 1432-1041)
05/2007
13/03/2007
63
5
437-49

digoxin – population pharmacokinetics – pharmacogenetics – P-glycoprotein
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