Literature DB >> 24249597

The role of pharmacogenetics in the disposition of and response to tacrolimus in solid organ transplantation.

Dennis A Hesselink1, Rachida Bouamar, Laure Elens, Ron H N van Schaik, Teun van Gelder.   

Abstract

The calcineurin inhibitor tacrolimus is the backbone of immunosuppressive drug therapy after solid organ transplantation. Tacrolimus is effective in preventing acute rejection but has considerable toxicity and displays marked inter-individual variability in its pharmacokinetics and pharmacodynamics. The genetic basis of these phenomena is reviewed here. With regard to its pharmacokinetic variability, a single nucleotide polymorphism (SNP) in cytochrome P450 (CYP) 3A5 (6986A>G) has been consistently associated with tacrolimus dose requirement. Patients expressing CYP3A5 (those carrying the A nucleotide, defined as the *1 allele) have a dose requirement that is around 50 % higher than non-expressers (those homozygous for the G nucleotide, defined as the *3 allele). A randomised controlled study in kidney transplant recipients has demonstrated that a CYP3A5 genotype-based approach to tacrolimus dosing leads to more patients reaching the target concentration early after transplantation. However, no improvement of clinical outcomes (rejection incidence, toxicity) was observed, which may have been the result of the design of this particular study. In addition to CYP3A5 genotype, other genetic variants may also contribute to the variability in tacrolimus pharmacokinetics. Among these, the CYP3A4*22 and POR*28 SNPs are the most promising. Individuals carrying the CYP3A4*22 T-variant allele have a lower tacrolimus dose requirement than individuals with the CYP3A4*22 CC genotype and this effect appears to be independent of CYP3A5 genotype status. Individuals carrying the POR*28 T-variant allele have a higher tacrolimus dose requirement than POR*28 CC homozygotes but this association was only found in CYP3A5-expressing individuals. Other, less well-defined SNPs have been inconsistently associated with tacrolimus dose requirement. It is envisaged that in the future, algorithms incorporating clinical, demographic and genetic variables will be developed that will aid clinicians with the determination of the tacrolimus starting dose for an individual transplant recipient. Such an approach may limit early tacrolimus under-exposure and toxicity. With regard to tacrolimus pharmacodynamics, no strong genotype-phenotype relationships have been identified. Certain SNPs associate with rejection risk but these observations await replication. Likewise, the genetic basis of tacrolimus-induced toxicity remains unclarified. SNPs in the genes encoding for the drug transporter ABCB1 and the CYP3A enzymes may relate to chronic nephrotoxicity but findings have been inconsistent. No genetic markers reliably predict new-onset diabetes mellitus after transplantation, hypertension or neurotoxicity. The CYP3A5*1 SNP is currently the most promising biomarker for tailoring tacrolimus treatment. However, before CYP3A5 genotyping is incorporated into the routine clinical care of transplant recipients, prospective clinical trials are needed to determine whether such a strategy improves patient outcomes. The role of pharmacogenetics in tacrolimus pharmacodynamics should be explored further by the study of intra-lymphocyte and tissue tacrolimus concentrations.

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Year:  2014        PMID: 24249597     DOI: 10.1007/s40262-013-0120-3

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  179 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.  Correlation of tacrolimus levels in peripheral blood mononuclear cells with histological staging of rejection after liver transplantation: preliminary results of a prospective study.

Authors:  Arnaud Capron; Jan Lerut; Dominique Latinne; Jacques Rahier; Vincent Haufroid; Pierre Wallemacq
Journal:  Transpl Int       Date:  2011-10-08       Impact factor: 3.782

Review 3.  Calcineurin inhibitor nephrotoxicity.

Authors:  Maarten Naesens; Dirk R J Kuypers; Minnie Sarwal
Journal:  Clin J Am Soc Nephrol       Date:  2009-02       Impact factor: 8.237

4.  The CYP3A4*22 allele affects the predictive value of a pharmacogenetic algorithm predicting tacrolimus predose concentrations.

Authors:  Laure Elens; Dennis A Hesselink; Ron H N van Schaik; Teun van Gelder
Journal:  Br J Clin Pharmacol       Date:  2013-06       Impact factor: 4.335

Review 5.  The pharmacogenetics of calcineurin inhibitor-related nephrotoxicity.

Authors:  Dennis A Hesselink; Rachida Bouamar; Teun van Gelder
Journal:  Ther Drug Monit       Date:  2010-08       Impact factor: 3.681

Review 6.  Drug-drug interactions between antiretroviral and immunosuppressive agents in HIV-infected patients after solid organ transplantation: a review.

Authors:  Erik M van Maarseveen; Christin C Rogers; Jennifer Trofe-Clark; Arjan D van Zuilen; Tania Mudrikova
Journal:  AIDS Patient Care STDS       Date:  2012-10       Impact factor: 5.078

7.  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

8.  The genetic determinants of the CYP3A5 polymorphism.

Authors:  E Hustert; M Haberl; O Burk; R Wolbold; Y Q He; K Klein; A C Nuessler; P Neuhaus; J Klattig; R Eiselt; I Koch; A Zibat; J Brockmöller; J R Halpert; U M Zanger; L Wojnowski
Journal:  Pharmacogenetics       Date:  2001-12

9.  Association of ABCB1, CYP3A4*18B and CYP3A5*3 genotypes with the pharmacokinetics of tacrolimus in healthy Chinese subjects: a population pharmacokinetic analysis.

Authors:  X-J Shi; F Geng; Z Jiao; X-Y Cui; X-Y Qiu; M-K Zhong
Journal:  J Clin Pharm Ther       Date:  2010-10-05       Impact factor: 2.512

Review 10.  Mechanisms of clinically relevant drug interactions associated with tacrolimus.

Authors:  Uwe Christians; Wolfgang Jacobsen; Leslie Z Benet; Alfonso Lampen
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

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  84 in total

1.  External evaluation of published population pharmacokinetic models of tacrolimus in adult renal transplant recipients.

Authors:  Chen-Yan Zhao; Zheng Jiao; Jun-Jun Mao; Xiao-Yan Qiu
Journal:  Br J Clin Pharmacol       Date:  2016-02-26       Impact factor: 4.335

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

3.  Donor CYP3A5 genotype influences tacrolimus disposition on the first day after paediatric liver transplantation.

Authors:  Pier Luigi Calvo; Loredana Serpe; Andrea Brunati; Antonello Nonnato; Daniela Bongioanni; Dominic Dell' Olio; Michele Pinon; Carlo Ferretti; Francesco Tandoi; Giulia Carbonaro; Mauro Salizzoni; Antonio Amoroso; Renato Romagnoli; Roberto Canaparo
Journal:  Br J Clin Pharmacol       Date:  2017-01-31       Impact factor: 4.335

Review 4.  The neurology of solid organ transplantation.

Authors:  J David Avila; Saša Živković
Journal:  Curr Neurol Neurosci Rep       Date:  2015-07       Impact factor: 5.081

5.  IL-3 and CTLA4 gene polymorphisms may influence the tacrolimus dose requirement in Chinese kidney transplant recipients.

Authors:  Mou-Ze Liu; Hai-Yan He; Yue-Li Zhang; Yong-Fang Hu; Fa-Zhong He; Jian-Quan Luo; Zhi-Ying Luo; Xiao-Ping Chen; Zhao-Qian Liu; Hong-Hao Zhou; Ming-Jie Shao; Ying-Zi Ming; Hua-Wen Xin; Wei Zhang
Journal:  Acta Pharmacol Sin       Date:  2017-01-23       Impact factor: 6.150

Review 6.  Clinical Pharmacokinetics of Once-Daily Tacrolimus in Solid-Organ Transplant Patients.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2015-10       Impact factor: 6.447

7.  Effect of CYP3A5 and ABCB1 polymorphisms on the interaction between tacrolimus and itraconazole in patients with connective tissue disease.

Authors:  Masaru Togashi; Takenori Niioka; Atsushi Komatsuda; Mizuho Nara; Shin Okuyama; Ayumi Omokawa; Maiko Abumiya; Hideki Wakui; Naoto Takahashi; Masatomo Miura
Journal:  Eur J Clin Pharmacol       Date:  2015-07-17       Impact factor: 2.953

8.  Dosage Optimization Based on Population Pharmacokinetic Analysis of Tacrolimus in Chinese Patients with Nephrotic Syndrome.

Authors:  Tong Lu; Xu Zhu; Shansen Xu; Mingming Zhao; Xueshi Huang; Zhanyou Wang; Limei Zhao
Journal:  Pharm Res       Date:  2019-02-04       Impact factor: 4.200

Review 9.  Dosage individualization in children: integration of pharmacometrics in clinical practice.

Authors:  Wei Zhao; Stéphanie Leroux; Evelyne Jacqz-Aigrain
Journal:  World J Pediatr       Date:  2014-08-15       Impact factor: 2.764

Review 10.  Pharmacogenetics and immunosuppressive drugs in solid organ transplantation.

Authors:  Teun van Gelder; Ron H van Schaik; Dennis A Hesselink
Journal:  Nat Rev Nephrol       Date:  2014-09-23       Impact factor: 28.314

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