Articles
Clinical Pharmacology & Therapeutics (2009) 86 6, 609–618. doi:10.1038/clpt.2009.210
Population Pharmacokinetics and Pharmacogenetics of Tacrolimus in De Novo Pediatric Kidney Transplant Recipients
W Zhao1, V Elie1, G Roussey2, K Brochard3, P Niaudet4, V Leroy5, C Loirat5, P Cochat6, S Cloarec7, J L André8, F Garaix9, A Bensman10, M Fakhoury1,11 and E Jacqz-Aigrain1,11
- 1Department of Pediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, Paris, France
- 2Department of Pediatric Nephrology, Hôpital Mère et Enfant, Nantes, France
- 3Department of Pediatric Nephrology, Hôpital des Enfants, Toulouse, France
- 4Department of Pediatric Nephrology, Hôpital Necker-Enfants Malades, Paris, France
- 5Department of Pediatric Nephrology, Hôpital Robert Debré, Paris, France
- 6Department of Pediatric Nephrology, Hôpital Femme Mère Enfant, Lyon, France
- 7Department of Pediatric Nephrology, CHRU, Tours, France
- 8Department of Pediatric Nephrology, Hôpital des Enfants, Nancy, France
- 9Department of Pediatric Nephrology, Hôpital de la Timone Enfants, Marseille, France
- 10Department of Pediatric Nephrology, Hôpital Trousseau, Paris, France
- 11Clinical Investigation Center (CIC), INSERM 9202, Hôpital Robert Debré, Paris, France
Correspondence: E Jacqz-Aigrain, (evelyne.jacqz-aigrain@rdb.aphp.fr)
Received 29 March 2009; Accepted 26 August 2009; Published online 28 October 2009.
Abstract
The aim of this study was to develop a population pharmacokinetic model of tacrolimus in pediatric kidney transplant patients, identify factors that explain variability, and determine dosage regimens. Pharmacokinetic samples were collected from 50 de novo pediatric kidney transplant patients (age 2–18 years) who were on tacrolimus treatment. Population pharmacokinetic analysis of tacrolimus was performed using NONMEM, and the impact of variables (demographic and clinical factors, and CYP3A4-A5, ABCB1, and ABCC2 polymorphisms) was tested. The pharmacokinetic data were described by a two-compartment model that incorporated first-order absorption and lag time. The apparent oral clearance (CL/F) was significantly related to body weight (allometric scaling); in addition, it was higher in patients with low hematocrit levels and lower in patients with CYP3A5*3/*3. The population pharmacokinetic–pharmacogenetic model developed in de novo pediatric kidney transplant patients demonstrated that, in children, tacrolimus dosage should be based on weight, hematocrit levels, and CYP3A5 polymorphism. Individualization of therapy will enable the optimization of tacrolimus exposure, with resultant beneficial effects on kidney function in the initial post-transplantation period.
