Literature DB >> 15592326

Population pharmacokinetics of cyclosporine in kidney and heart transplant recipients and the influence of ethnicity and genetic polymorphisms in the MDR-1, CYP3A4, and CYP3A5 genes.

Dennis A Hesselink1, Teun van Gelder, Ron H N van Schaik, Aggie H M M Balk, Ilse P van der Heiden, Thea van Dam, Marloes van der Werf, Willem Weimar, Ron A A Mathot.   

Abstract

OBJECTIVE: Our objective was to determine the relationship between single nucleotide polymorphisms (SNPs) in the multidrug resistance 1 (MDR-1) gene and the cytochrome P450 (CYP) genes CYP3A4 and CYP3A5 and the pharmacokinetics of cyclosporine (INN, ciclosporin).
METHODS: Cyclosporine pharmacokinetics of 151 kidney and heart transplant recipients undergoing maintenance therapy was described by use of nonlinear mixed-effects modeling (NONMEM) according to a 2-compartment pharmacokinetic model with first-order absorption and elimination. All patients were genotyped for the CYP3A4*1B and *3 , CYP3A5*3 and *6 , and MDR-1 3435C-->T SNPs.
RESULTS: For a typical 70-kg white patient, the following parameters were estimated: absorption rate constant, 1.27 h -1; absorption time lag, 0.47 hour; oral volume of distribution of the central and peripheral compartment, 56.3 and 185.0 L, respectively; oral clearance (Cl/F), 30.7 L/h; and oral intercompartmental clearance, 31.7 L/h. Estimated interpatient variability of Cl/F was 28%. Cl/F was significantly correlated with weight and ethnicity; Cl/F was 13% higher (95% confidence interval, 8%-18%; P < .005) in white patients than in black and Asian patients. In carriers of a CYP3A4*1B variant allele, Cl/F was 9% (95% confidence interval, 1%-17%; P < .05) higher compared with CYP3A4*1 homozygotes, and this effect was independent of ethnicity or weight. Incorporation of these covariates into the NONMEM model did not markedly reduce interpatient variability of Cl/F. None of the other SNPs studied significantly influenced any of the pharmacokinetic parameters.
CONCLUSION: Patients carrying a CYP3A4*1B variant allele have a significantly higher oral cyclosporine clearance compared with patients homozygous for CYP3A4*1 . However, this genetic effect on cyclosporine disposition was small, and genotyping of transplant recipients for CYP3A4 is thus unlikely to assist in planning initial cyclosporine dosing.

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Year:  2004        PMID: 15592326     DOI: 10.1016/j.clpt.2004.08.022

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


  34 in total

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Authors:  Michael Camilleri
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2012-02-07       Impact factor: 46.802

Review 2.  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

Review 3.  PharmGKB summary: cyclosporine and tacrolimus pathways.

Authors:  Julia M Barbarino; Christine E Staatz; Raman Venkataramanan; Teri E Klein; Russ B Altman
Journal:  Pharmacogenet Genomics       Date:  2013-10       Impact factor: 2.089

Review 4.  Clinical implementation of pharmacogenetics in kidney transplantation: calcineurin inhibitors in the starting blocks.

Authors:  Laure Elens; Rachida Bouamar; Nauras Shuker; Dennis A Hesselink; Teun van Gelder; Ron H N van Schaik
Journal:  Br J Clin Pharmacol       Date:  2014-04       Impact factor: 4.335

5.  The influence of CYP3A5 genotype on dexamethasone induction of CYP3A activity in African Americans.

Authors:  Patrick J Roberts; Kristan D Rollins; Angela D M Kashuba; Mary F Paine; Andrew C Nelsen; Eric E Williams; Cassandra Moran; Jatinder K Lamba; Erin G Schuetz; Roy L Hawke
Journal:  Drug Metab Dispos       Date:  2008-05-19       Impact factor: 3.922

6.  Multicenter-Based Population Pharmacokinetic Analysis of Ciclosporin in Hematopoietic Stem Cell Transplantation Patients.

Authors:  Ling Xue; Wen-Juan Zhang; Ji-Xin Tian; Lin-Na Liu; Hai-Hong Yan; Wen-Wen Zhang; Xiao-Liang Ding; Jing-Jing Zhang; Li-Yan Miao
Journal:  Pharm Res       Date:  2019-12-23       Impact factor: 4.200

Review 7.  Pharmacogenetic considerations for optimizing tacrolimus dosing in liver and kidney transplant patients.

Authors:  Alessio Provenzani; Andrew Santeusanio; Erin Mathis; Monica Notarbartolo; Manuela Labbozzetta; Paola Poma; Ambra Provenzani; Carlo Polidori; Giovanni Vizzini; Piera Polidori; Natale D'Alessandro
Journal:  World J Gastroenterol       Date:  2013-12-28       Impact factor: 5.742

8.  Polymorphisms of drug-metabolizing enzymes (GST, CYP2B6 and CYP3A) affect the pharmacokinetics of thiotepa and tepa.

Authors:  Corine Ekhart; Valerie D Doodeman; Sjoerd Rodenhuis; Paul H M Smits; Jos H Beijnen; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2008-11-17       Impact factor: 4.335

Review 9.  Pharmacogenomics: a new paradigm to personalize treatments in nephrology patients.

Authors:  G Zaza; S Granata; F Sallustio; G Grandaliano; F P Schena
Journal:  Clin Exp Immunol       Date:  2009-11-24       Impact factor: 4.330

10.  Metabolomics Analysis of Hormone-Responsive and Triple-Negative Breast Cancer Cell Responses to Paclitaxel Identify Key Metabolic Differences.

Authors:  Delisha A Stewart; Jason H Winnike; Susan L McRitchie; Robert F Clark; Wimal W Pathmasiri; Susan J Sumner
Journal:  J Proteome Res       Date:  2016-08-03       Impact factor: 4.466

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