Literature DB >> 23633119

Multidrug resistance-associated protein 2 (MRP2/ABCC2) haplotypes significantly affect the pharmacokinetics of tacrolimus in kidney transplant recipients.

Ken Ogasawara1, Shripad D Chitnis, Reginald Y Gohh, Uwe Christians, Fatemeh Akhlaghi.   

Abstract

BACKGROUND AND
OBJECTIVE: Tacrolimus is an immunosuppressive drug used for the prevention of the allograft rejection in kidney transplant recipients. It exhibits a narrow therapeutic index and large pharmacokinetic variability. Tacrolimus is mainly metabolized by cytochrome P450 (CYP) 3A4 and 3A5 and effluxed via ATP-binding cassette (ABC) transporters such as P-glycoprotein (P-gp), encoded by ABCB1 gene. The influence of CYP3A5*3 on the pharmacokinetics of tacrolimus has been well characterized. On the other hand, the contribution of polymorphisms in other genes is controversial. In addition, the involvement of other efflux transporters than P-gp in tacrolimus disposition is uncertain. The present study was designed to investigate the effects of genetic polymorphisms of CYP3As and efflux transporters on the pharmacokinetics of tacrolimus. SUBJECTS AND METHODS: A total of 500 blood concentrations of tacrolimus from 102 adult stable kidney transplant recipients were included in the analyses. Genetic polymorphisms in CYP3A4 and CYP3A5 genes were determined. In addition, the genes of efflux transporters including P-gp (ABCB1), multidrug resistance-associated protein (MRP2/ABCC2) and breast cancer resistance protein (BCRP/ABCG2) were genotyped. For ABCC2 gene, haplotypes were determined as follows: H1 (wild type), H2 (1249G>A), H9 (3972C>T) and H12 (-24C>T and 3972C>T). Population pharmacokinetic analysis was performed using nonlinear mixed effects modeling.
RESULTS: Analyses revealed that the CYP3A5 expressers (CYP3A5*1 carriers) and MRP2 high-activity group (ABCC2 H2/H2 and H1/H2) showed a decreased dose-normalized trough concentration of tacrolimus by 2.3-fold (p < 0.001) and 1.5-fold (p = 0.007), respectively. The pharmacokinetics of tacrolimus were best described using a two-compartment model with first order absorption and an absorption lag time. In the population pharmacokinetic analysis, CYP3A5 expressers and MRP2 high-activity groups were identified as the significant covariates for tacrolimus apparent clearance expressed as 20.7 × (age/50)(-0.78) × 2.03 (CYP3A5 expressers) × 1.40 (MRP2 high-activity group). No other CYP3A4, ABCB1 or ABCG2 polymorphisms were associated with the apparent clearance of tacrolimus.
CONCLUSIONS: This is the first report showing that MRP2/ABCC2 has a crucial impact on the pharmacokinetics of tacrolimus in a haplotype-specific manner. Determination of the ABCC2 as well as CYP3A5 genotype may be useful for more accurate tacrolimus dosage adjustment.

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Year:  2013        PMID: 23633119      PMCID: PMC3755037          DOI: 10.1007/s40262-013-0069-2

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


  36 in total

1.  Sequence diversity in CYP3A promoters and characterization of the genetic basis of polymorphic CYP3A5 expression.

Authors:  P Kuehl; J Zhang; Y Lin; J Lamba; M Assem; J Schuetz; P B Watkins; A Daly; S A Wrighton; S D Hall; P Maurel; M Relling; C Brimer; K Yasuda; R Venkataramanan; S Strom; K Thummel; M S Boguski; E Schuetz
Journal:  Nat Genet       Date:  2001-04       Impact factor: 38.330

2.  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

3.  Human P-glycoprotein transports cyclosporin A and FK506.

Authors:  T Saeki; K Ueda; Y Tanigawara; R Hori; T Komano
Journal:  J Biol Chem       Date:  1993-03-25       Impact factor: 5.157

Review 4.  Clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

5.  Cytochrome P-450 3A enzymes are responsible for biotransformation of FK506 and rapamycin in man and rat.

Authors:  M Sattler; F P Guengerich; C H Yun; U Christians; K F Sewing
Journal:  Drug Metab Dispos       Date:  1992 Sep-Oct       Impact factor: 3.922

6.  Population pharmacokinetics of tacrolimus in adult kidney transplant recipients.

Authors:  Christine E Staatz; Charlene Willis; Paul J Taylor; Susan E Tett
Journal:  Clin Pharmacol Ther       Date:  2002-12       Impact factor: 6.875

Review 7.  Disordered gastric motor function in diabetes mellitus.

Authors:  M Horowitz; R Fraser
Journal:  Diabetologia       Date:  1994-06       Impact factor: 10.122

8.  Metabolism of the immunosuppressant tacrolimus in the small intestine: cytochrome P450, drug interactions, and interindividual variability.

Authors:  A Lampen; U Christians; F P Guengerich; P B Watkins; J C Kolars; A Bader; A K Gonschior; H Dralle; I Hackbarth; K F Sewing
Journal:  Drug Metab Dispos       Date:  1995-12       Impact factor: 3.922

Review 9.  Tacrolimus: a further update of its use in the management of organ transplantation.

Authors:  Lesley J Scott; Kate McKeage; Susan J Keam; Greg L Plosker
Journal:  Drugs       Date:  2003       Impact factor: 9.546

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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  25 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

Review 2.  Biomarkers and Pharmacogenomics in Kidney Transplantation.

Authors:  L E Crowley; M Mekki; S Chand
Journal:  Mol Diagn Ther       Date:  2018-10       Impact factor: 4.074

3.  Multigene predictors of tacrolimus exposure in kidney transplant recipients.

Authors:  Rebecca A Pulk; David S Schladt; William S Oetting; Weihua Guan; Ajay K Israni; Arthur J Matas; Rory P Remmel; Pamala A Jacobson
Journal:  Pharmacogenomics       Date:  2015-06-12       Impact factor: 2.533

4.  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

5.  Effect of ABCB1 diplotype on tacrolimus disposition in renal recipients depends on CYP3A5 and CYP3A4 genotype.

Authors:  T Vanhove; P Annaert; D Lambrechts; D R J Kuypers
Journal:  Pharmacogenomics J       Date:  2016-07-05       Impact factor: 3.550

Review 6.  Renal Drug Transporters and Drug Interactions.

Authors:  Anton Ivanyuk; Françoise Livio; Jérôme Biollaz; Thierry Buclin
Journal:  Clin Pharmacokinet       Date:  2017-08       Impact factor: 6.447

7.  Attempted validation of 44 reported SNPs associated with tacrolimus troughs in a cohort of kidney allograft recipients.

Authors:  William S Oetting; Baolin Wu; David P Schladt; Weihua Guan; Rory P Remmel; Casey Dorr; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Pharmacogenomics       Date:  2018-01-10       Impact factor: 2.533

Review 8.  Pharmacogenetics of Membrane Transporters of Tacrolimus in Solid Organ Transplantation.

Authors:  Camille Tron; Florian Lemaitre; Céline Verstuyft; Antoine Petitcollin; Marie-Clémence Verdier; Eric Bellissant
Journal:  Clin Pharmacokinet       Date:  2019-05       Impact factor: 6.447

Review 9.  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

10.  Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach.

Authors:  Tom M Nanga; Thao T P Doan; Pierre Marquet; Flora T Musuamba
Journal:  Br J Clin Pharmacol       Date:  2019-12-17       Impact factor: 4.335

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