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Development of a complex parent-metabolite joint population pharmacokinetic model.

Bertrand, J; Laffont, CM; Mentré, F; Chenel, M; Comets, E; (2011) Development of a complex parent-metabolite joint population pharmacokinetic model. AAPS J , 13 (3) pp. 390-404. 10.1208/s12248-011-9282-9.

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Abstract

This study aimed to develop a joint population pharmacokinetic model for an antipsychotic agent in development (S33138) and its active metabolite (S35424) produced by reversible metabolism. Because such a model leads to identifiability problems and numerical difficulties, the model building was performed using the FOCE-I and the Stochastic Approximation Expectation Maximization (SAEM) estimation algorithms in NONMEM and MONOLIX, respectively. Four different structural models were compared based on Bayesian information criteria. Models were first written as ordinary differential equations systems and then in closed form (CF) to facilitate further analyses. The impact of polymorphisms on genes coding for the CYP2C19 and CYP2D6 enzymes, respectively involved in the parent drug and the metabolite elimination were investigated using permutation Wald test. The parent drug and metabolite plasma concentrations of 101 patients were analyzed on two occasions after 4 and 8 weeks of treatment at 1, 3, 6, and 24 h following daily oral administration. All configurations led to a two compartment model with back-transformation of the metabolite into the parent drug and a first-pass effect. The elimination clearance of the metabolite through other processes than back-transformation was decreased by 35% [9-53%] in CYP2D6 poor metabolizer. Permutation tests were performed to ensure the robustness of the analysis, using SAEM and CF. In conclusion, we developed a complex joint pharmacokinetic model adequately predicting the impact of CYP2D6 polymorphisms on the parent drug and its metabolite concentrations through the back-transformation mechanism.

Type: Article
Title: Development of a complex parent-metabolite joint population pharmacokinetic model.
Location: United States
DOI: 10.1208/s12248-011-9282-9
Keywords: Acetanilides, Algorithms, Antipsychotic Agents, Aryl Hydrocarbon Hydroxylases, Benzopyrans, Chromatography, Liquid, Clinical Trials, Phase I as Topic, Clinical Trials, Phase II as Topic, Computer Simulation, Cytochrome P-450 CYP2C19, Cytochrome P-450 CYP2D6, Dose-Response Relationship, Drug, Humans, Male, Models, Biological, Multicenter Studies as Topic, Polymorphism, Genetic, Randomized Controlled Trials as Topic, Solid Phase Extraction, Tandem Mass Spectrometry
UCL classification: UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Life Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/1353485
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