Literature DB >> 19067682

Influence of CYP3A5 genetic polymorphism on tacrolimus daily dose requirements and acute rejection in renal graft recipients.

Lina Quteineh1, Céline Verstuyft, Valerie Furlan, Antoine Durrbach, Alexia Letierce, Sophie Ferlicot, Anne-Marie Taburet, Bernard Charpentier, Laurent Becquemont.   

Abstract

Tacrolimus is a widely used immunosuppressive drug in organ transplantation. Its oral bioavailability varies greatly between individuals, and it is a substrate of cytochrome P450 3A (CYP3A) and P-glycoprotein. Our objective was to determine the influence of CYP3A5 and ABCB1 genetic polymorphisms on tacrolimus daily requirements and on transplantation outcome. One hundred and thirty-six renal graft recipients treated with tacrolimus were genotyped for CYP3A5 (6986A>G), ABCB1 exon26 (3435C>T) and exon21 (2677G>T/A) single nucleotide polymorphisms. Genotypes were correlated to tacrolimus daily dose at 1-week, 1-, 6- and 12-month post-transplantation and with transplantation outcome. At 1-month post-transplantation, tacrolimus daily dose was higher for patients with CYP3A5*1/*1 genotype compared to CYP3A5*3/*3 genotype (0.26 +/- 0.03 versus 0.16 +/- 0.01 mg/kg/day, respectively, P < 0.0001). Similar results were obtained at 6- and 12-month post-transplantation. Furthermore, CYP3A5*1 homozygotes were associated with increased risk of acute rejection episodes compared to patients with CYP3A5*1/*3 and CYP3A5*3/*3 genotypes (38% versus 10% and 9%, respectively, P = 0.01). CYP3A5 genetic polymorphism was not associated with tacrolimus-related nephrotoxicity. ABCB1 polymorphisms were not related with transplantation outcome. CYP3A5 genetic polymorphism appeared in our study to affect tacrolimus daily dose requirements and transplantation outcome. Screening for this single nucleotide polymorphism before the transplantation might be helpful for the selection of adequate initial daily dose and to achieve the desired immunosuppression.

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Year:  2008        PMID: 19067682     DOI: 10.1111/j.1742-7843.2008.00327.x

Source DB:  PubMed          Journal:  Basic Clin Pharmacol Toxicol        ISSN: 1742-7835            Impact factor:   4.080


  33 in total

1.  PharmGKB summary: very important pharmacogene information for CYP3A5.

Authors:  Jatinder Lamba; Joan M Hebert; Erin G Schuetz; Teri E Klein; Russ B Altman
Journal:  Pharmacogenet Genomics       Date:  2012-07       Impact factor: 2.089

2.  Validation of single nucleotide polymorphisms associated with acute rejection in kidney transplant recipients using a large multi-center cohort.

Authors:  William S Oetting; David P Schladt; Robert E Leduc; Pamala A Jacobson; Weihua Guan; Arthur J Matas; Ajay Israni
Journal:  Transpl Int       Date:  2011-09-29       Impact factor: 3.782

3.  Impact of CYP3A5 polymorphism on trough concentrations and outcomes of tacrolimus minimization during the early period after kidney transplantation.

Authors:  Khemjira Yaowakulpatana; Somratai Vadcharavivad; Atiporn Ingsathit; Nutthada Areepium; Surasak Kantachuvesiri; Bunyong Phakdeekitcharoen; Chonlaphat Sukasem; Supasil Sra-Ium; Vasant Sumethkul; Chagriya Kitiyakara
Journal:  Eur J Clin Pharmacol       Date:  2015-12-04       Impact factor: 2.953

4.  Analysis of 75 Candidate SNPs Associated With Acute Rejection in Kidney Transplant Recipients: Validation of rs2910164 in MicroRNA MIR146A.

Authors:  William S Oetting; David P Schladt; Casey R Dorr; Baolin Wu; Weihua Guan; Rory P Remmel; David Iklé; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Transplantation       Date:  2019-08       Impact factor: 4.939

5.  Clinical use of pharmacogenomic tests in 2009.

Authors:  Leslie J Sheffield; Hazel E Phillimore
Journal:  Clin Biochem Rev       Date:  2009-05

6.  Dosing equation for tacrolimus using genetic variants and clinical factors.

Authors:  Chaitali Passey; Angela K Birnbaum; Richard C Brundage; William S Oetting; Ajay K Israni; Pamala A Jacobson
Journal:  Br J Clin Pharmacol       Date:  2011-12       Impact factor: 4.335

7.  CYP3A5 genotype affects time to therapeutic tacrolimus level in pediatric kidney transplant recipients.

Authors:  Megan V Yanik; Michael E Seifert; Jayme E Locke; Vera Hauptfeld-Dolejsek; Michael R Crowley; Gary R Cutter; Roslyn B Mannon; Daniel I Feig; Nita A Limdi
Journal:  Pediatr Transplant       Date:  2019-05-24

8.  Prediction tacrolimus blood levels based on the Bayesian method in adult kidney transplant patients.

Authors:  Marie Antignac; Christine Fernandez; Benoît Barrou; Mariona Roca; Jean-Louis Favrat; Saïk Urien; Robert Farinotti
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-02-24       Impact factor: 2.441

9.  Population pharmacokinetics and Bayesian estimation of tacrolimus exposure in renal transplant recipients on a new once-daily formulation.

Authors:  Khaled Benkali; Lionel Rostaing; Aurélie Premaud; Jean-Baptiste Woillard; Franck Saint-Marcoux; Saik Urien; Nassim Kamar; Pierre Marquet; Annick Rousseau
Journal:  Clin Pharmacokinet       Date:  2010-10       Impact factor: 6.447

Review 10.  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

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