AIMS: The aims of this study were to develop a combined population pharmacokinetic model for both aripiprazole and its active metabolite, dehydroaripiprazole, in psychiatric patients and to identify to what extent the genetic polymorphisms of cytochrome P450 (CYP) enzymes contribute to the variability in pharmacokinetics (PK). METHODS: A population pharmacokinetic analysis was performed using NONMEM software based on 141 plasma concentrations at steady state from 80 patients receiving multiple oral doses of aripiprazole (10-30 mg day(-1)). RESULTS: A one-compartment model with first-order kinetics for aripiprazole and dehydroaripiprazole each was developed to describe simultaneously the concentration data. The absorption rate constant was fixed to 1.06 h(-1). The typical value of apparent distribution volume of aripiprazole was estimated to be 192 l. Covariate analysis showed that CYP2D6 genetic polymorphisms significantly influenced the apparent clearance of aripiprazole (CL/F), reducing the interindividual variability on CL/F from 37.8% CV (coefficient of variation) to 30.5%. The CL/F in the CYP2D6 IMs was approximately 60% of that in CYP2D6 EMs having two functional alleles. Based on the CYP2D6 genotype, the metabolic ratios were calculated at 0.20-0.34. However, the plasma concentration : dose ratios of dehydroaripiprazole were not different across the CYP2D6 genotype. CONCLUSIONS: This population pharmacokinetic model provided an adequate fit to the data for both aripiprazole and dehydroaripiprazole in psychiatric patients. The usefulness of CYP genotyping as an aid to select the starting dose should be further investigated.
AIMS: The aims of this study were to develop a combined population pharmacokinetic model for both aripiprazole and its active metabolite, dehydroaripiprazole, in psychiatricpatients and to identify to what extent the genetic polymorphisms of cytochrome P450 (CYP) enzymes contribute to the variability in pharmacokinetics (PK). METHODS: A population pharmacokinetic analysis was performed using NONMEM software based on 141 plasma concentrations at steady state from 80 patients receiving multiple oral doses of aripiprazole (10-30 mg day(-1)). RESULTS: A one-compartment model with first-order kinetics for aripiprazole and dehydroaripiprazole each was developed to describe simultaneously the concentration data. The absorption rate constant was fixed to 1.06 h(-1). The typical value of apparent distribution volume of aripiprazole was estimated to be 192 l. Covariate analysis showed that CYP2D6 genetic polymorphisms significantly influenced the apparent clearance of aripiprazole (CL/F), reducing the interindividual variability on CL/F from 37.8% CV (coefficient of variation) to 30.5%. The CL/F in the CYP2D6 IMs was approximately 60% of that in CYP2D6 EMs having two functional alleles. Based on the CYP2D6 genotype, the metabolic ratios were calculated at 0.20-0.34. However, the plasma concentration : dose ratios of dehydroaripiprazole were not different across the CYP2D6 genotype. CONCLUSIONS: This population pharmacokinetic model provided an adequate fit to the data for both aripiprazole and dehydroaripiprazole in psychiatricpatients. The usefulness of CYP genotyping as an aid to select the starting dose should be further investigated.
Authors: Ina Koch; Regina Weil; Renzo Wolbold; Jürgen Brockmöller; Elisabeth Hustert; Oliver Burk; Andreas Nuessler; Peter Neuhaus; Michel Eichelbaum; Ulrich Zanger; Leszek Wojnowski Journal: Drug Metab Dispos Date: 2002-10 Impact factor: 3.922
Authors: David A Shapiro; Sean Renock; Elaine Arrington; Louis A Chiodo; Li-Xin Liu; David R Sibley; Bryan L Roth; Richard Mailman Journal: Neuropsychopharmacology Date: 2003-05-21 Impact factor: 7.853
Authors: Vidya Perera; Robert R Bies; Gary Mo; Michael J Dolton; Vaughan J Carr; Andrew J McLachlan; Richard O Day; Thomas M Polasek; Alan Forrest Journal: Br J Clin Pharmacol Date: 2014-10 Impact factor: 4.335
Authors: Xenia M Hart; Christoph Hiemke; Luzie Eichentopf; Xenija M Lense; Hans Willi Clement; Andreas Conca; Frank Faltraco; Vincenzo Florio; Jessica Grüner; Ursula Havemann-Reinecke; Espen Molden; Michael Paulzen; Georgios Schoretsanitis; Thomas G Riemer; Gerhard Gründer Journal: Psychopharmacology (Berl) Date: 2022-10-05 Impact factor: 4.415