Literature DB >> 17032130

The influence of genetic polymorphisms of cytochrome P450 3A5 and ABCB1 on starting dose- and weight-standardized tacrolimus trough concentrations after kidney transplantation in relation to renal function.

Michel Mourad1, Pierre Wallemacq, Martine De Meyer, Dimitri Brandt, Valérie Van Kerkhove, Jacques Malaise, Djamila Chaïb Eddour, Dominique Lison, Vincent Haufroid.   

Abstract

BACKGROUND: Cytochrome P450 3A5 (CYP3A5) and ABCB1 polymorphisms have been shown to influence tacrolimus (Tc) blood concentrations in the stable phase after organ transplantation. We hypothesized that Tc pharmacokinetics may be affected by genetic mutations subsequent to starting doses.
METHODS: We retrospectively analyzed data from a cohort of 59 kidney transplant recipients, in whom CYP3A5 (intron 3) and ABCB1 (exons 12, 21 and 26) genotypes were correlated to dose- and weight-standardized Tc trough concentrations obtained after initial Tc doses. Renal function, expressed as glomerular filtration rate (GFR) (MDRD equation), on days 7 and 14 after transplantation was evaluated and its relationship with Tc concentrations was analyzed.
RESULTS: Dose- and weight-standardized Tc trough concentrations were lower in patients carrying the CYP3A5 *1 allele (p<0.01). There was no statistically significant association with ABCB1 polymorphisms. In a multivariate analysis, both the presence of at least one CYP3A5 *1 allele (p=0.006) and age at the time of transplantation (p=0.010) were significant independent variables affecting Tc trough blood concentrations standardized to the first dosages (model r2=0.23). GFR was not affected by Tc concentrations.
CONCLUSIONS: Prospective trials are needed to prove that a genetic approach to Tc pharmacokinetics and its related side effects during the early period after grafting may improve patient outcome.

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Year:  2006        PMID: 17032130     DOI: 10.1515/CCLM.2006.229

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  16 in total

1.  Prediction of the tacrolimus population pharmacokinetic parameters according to CYP3A5 genotype and clinical factors using NONMEM in adult kidney transplant recipients.

Authors:  Nayoung Han; Hwi-yeol Yun; Jin-yi Hong; In-Wha Kim; Eunhee Ji; Su Hyun Hong; Yon Su Kim; Jongwon Ha; Wan Gyoon Shin; Jung Mi Oh
Journal:  Eur J Clin Pharmacol       Date:  2012-06-02       Impact factor: 2.953

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.  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

4.  Weight of ABCB1 and POR genes on oral tacrolimus exposure in CYP3A5 nonexpressor pediatric patients with stable kidney transplant.

Authors:  G N Almeida-Paulo; I Dapía García; R Lubomirov; A M Borobia; N L Alonso-Sánchez; L Espinosa; A J Carcas-Sansuán
Journal:  Pharmacogenomics J       Date:  2017-01-17       Impact factor: 3.550

5.  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

6.  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

7.  Clinical and genetic factors affecting tacrolimus trough levels and drug-related outcomes in Korean kidney transplant recipients.

Authors:  In-Wha Kim; Yoo Jin Moon; Eunhee Ji; Kyung Im Kim; Nayoung Han; Sung Ju Kim; Wan Gyoon Shin; Jongwon Ha; Jeong-Hyun Yoon; Hye Suk Lee; Jung Mi Oh
Journal:  Eur J Clin Pharmacol       Date:  2011-12-20       Impact factor: 2.953

Review 8.  Impact of Genetic Polymorphisms of ABCB1 (MDR1, P-Glycoprotein) on Drug Disposition and Potential Clinical Implications: Update of the Literature.

Authors:  Stefan Wolking; Elke Schaeffeler; Holger Lerche; Matthias Schwab; Anne T Nies
Journal:  Clin Pharmacokinet       Date:  2015-07       Impact factor: 6.447

9.  No impact of age on dose-adjusted pharmacokinetics of tacrolimus, mycophenolic acid and prednisolone 1 month after renal transplantation.

Authors:  Masatomo Miura; Shigeru Satoh; Hideaki Kagaya; Mitsuru Saito; Takamitsu Inoue; Norihiko Tsuchiya; Toshio Suzuki; Tomonori Habuchi
Journal:  Eur J Clin Pharmacol       Date:  2009-10       Impact factor: 2.953

Review 10.  Effect of CYP3A5*3 on kidney transplant recipients treated with tacrolimus: a systematic review and meta-analysis of observational studies.

Authors:  L Rojas; I Neumann; M José Herrero; V Bosó; J Reig; J Luis Poveda; J Megías; S Bea; S F Aliño
Journal:  Pharmacogenomics J       Date:  2014-09-09       Impact factor: 3.550

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