Literature DB >> 17015051

Population pharmacokinetic and pharmacogenomic analysis of tacrolimus in pediatric living-donor liver transplant recipients.

Masahide Fukudo1, Ikuko Yano, Satohiro Masuda, Maki Goto, Miwa Uesugi, Toshiya Katsura, Yasuhiro Ogura, Fumitaka Oike, Yasutsugu Takada, Hiroto Egawa, Shinji Uemoto, Ken-ichi Inui.   

Abstract

OBJECTIVE: Our objective was to investigate the population pharmacokinetics of tacrolimus in pediatric living-donor liver transplant recipients and examine the effects of the multidrug resistance 1 (MDR1) gene and the cytochrome P450 (CYP) genes CYP3A4 and CYP3A5 on the oral clearance of tacrolimus.
METHODS: Data were collected retrospectively from 130 de novo pediatric liver transplant recipients treated with tacrolimus during the first 50 postoperative days. Pharmacogenomic data including both the CYP3A5*3 polymorphism and messenger ribonucleic acid (mRNA) expression levels of MDR1, CYP3A4, and CYP3A5 in the native intestine and the graft liver at transplantation were obtained from 65 of the recipients. Population pharmacokinetic analysis was performed with the nonlinear mixed-effects modeling program NONMEM to estimate population mean parameters of apparent clearance (CL/F) and apparent volume of distribution (V/F).
RESULTS: Both CL/F and V/F were allometrically related to body weight, and CL/F decreased when the AST value was elevated. CL/F increased linearly in the immediate postoperative period but did not change with time after postoperative day 21. The intestinal MDR1 mRNA level significantly influenced the initial CL/F (P < .005). Furthermore, the increase in CL/F over time was 2 times higher (95% confidence interval, 1.19-2.81 times; P < .005) in recipients of a CYP3A5*1-carrying graft liver than in patients with the hepatic CYP3A5*3/*3 genotype. The Bayesian prediction for tacrolimus concentrations was not significantly biased on any postoperative day, and the mean absolute prediction error was lower than 3 ng/mL after the first 2 weeks of transplantation.
CONCLUSIONS: The enterocyte MDR1 mRNA level and the CYP3A5*1 allele in the graft liver contribute differently to the interindividual variability in the oral clearance of tacrolimus after living-donor liver transplantation.

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Year:  2006        PMID: 17015051     DOI: 10.1016/j.clpt.2006.06.008

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  33 in total

1.  Age and CYP3A5 genotype affect tacrolimus dosing requirements after transplant in pediatric heart recipients.

Authors:  Violette Gijsen; Seema Mital; Ron H van Schaik; Offie P Soldin; Steven J Soldin; Ilse P van der Heiden; Irena Nulman; Gideon Koren; Saskia N de Wildt
Journal:  J Heart Lung Transplant       Date:  2011-09-17       Impact factor: 10.247

2.  Personalizing initial calcineurin inhibitor dosing by adjusting to donor CYP3A-status in liver transplant patients.

Authors:  Katalin Monostory; Katalin Tóth; Ádám Kiss; Edit Háfra; Nóra Csikány; József Paulik; Enikő Sárváry; László Kóbori
Journal:  Br J Clin Pharmacol       Date:  2015-10-26       Impact factor: 4.335

Review 3.  Effect of CYP3A and ABCB1 single nucleotide polymorphisms on the pharmacokinetics and pharmacodynamics of calcineurin inhibitors: Part I.

Authors:  Christine E Staatz; Lucy K Goodman; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2010-03       Impact factor: 6.447

4.  Impact of CYP3A5 genetic polymorphism on pharmacokinetics of tacrolimus in healthy Japanese subjects.

Authors:  Yoshiharu Suzuki; Masato Homma; Kosuke Doki; Fumio Itagaki; Yukinao Kohda
Journal:  Br J Clin Pharmacol       Date:  2008-03-13       Impact factor: 4.335

5.  A population pharmacokinetic study of tacrolimus in healthy Chinese volunteers and liver transplant patients.

Authors:  Yan-xia Lu; Qing-hong Su; Ke-hua Wu; Yu-peng Ren; Liang Li; Tian-yan Zhou; Wei Lu
Journal:  Acta Pharmacol Sin       Date:  2014-12-15       Impact factor: 6.150

6.  Determination of the most influential sources of variability in tacrolimus trough blood concentrations in adult liver transplant recipients: a bottom-up approach.

Authors:  Cécile Gérard; Jeanick Stocco; Anne Hulin; Benoit Blanchet; Céline Verstuyft; François Durand; Filomena Conti; Christophe Duvoux; Michel Tod
Journal:  AAPS J       Date:  2014-02-14       Impact factor: 4.009

7.  Effect of the P450 oxidoreductase 28 polymorphism on the pharmacokinetics of tacrolimus in Chinese healthy male volunteers.

Authors:  Jing-Jing Zhang; Hua Zhang; Xiao-Liang Ding; Sheng Ma; Li-Yan Miao
Journal:  Eur J Clin Pharmacol       Date:  2012-10-25       Impact factor: 2.953

8.  Population pharmacokinetic analysis of tacrolimus in the first year after pediatric liver transplantation.

Authors:  V Guy-Viterbo; A Scohy; R K Verbeeck; R Reding; P Wallemacq; Flora Tshinanu Musuamba
Journal:  Eur J Clin Pharmacol       Date:  2013-04-16       Impact factor: 2.953

9.  The Effect of Weight and CYP3A5 Genotype on the Population Pharmacokinetics of Tacrolimus in Stable Paediatric Renal Transplant Recipients.

Authors:  Agnieszka A Prytuła; Karlien Cransberg; Antonia H M Bouts; Ron H N van Schaik; Huib de Jong; Saskia N de Wildt; Ron A A Mathôt
Journal:  Clin Pharmacokinet       Date:  2016-09       Impact factor: 6.447

Review 10.  Population Pharmacokinetic Modelling and Bayesian Estimation of Tacrolimus Exposure: Is this Clinically Useful for Dosage Prediction Yet?

Authors:  Emily Brooks; Susan E Tett; Nicole M Isbel; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2016-11       Impact factor: 6.447

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