Literature DB >> 26227094

The genetic polymorphisms of POR*28 and CYP3A5*3 significantly influence the pharmacokinetics of tacrolimus in Chinese renal transplant recipients.

Jing-Jing Zhang, Shuai-Bing Liu, Ling Xue, Xiao-Liang Ding, Hua Zhang, Li-Yan Miao.   

Abstract

PURPOSES: The aims of this study were to assess the influence of the polymorphism of cytochrome P450 oxidoreductase (POR) as well as other relevant genes (CYP3A4, CYP3A5, ABCB1) on individual variability of tacrolimus pharmacokinetics and perform population pharmacokinetic analysis of tacrolimus in Chinese renal transplant recipients.
METHODS: Tacrolimus trough whole blood concentrations and clinical details were retrospectively collected from 83 renal recipients. CYP3A4*1G, CYP3A5*3, and ABCB1 C3435T were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), POR*28 and CYP3A4*22 were genotyped by sequencing method. Population pharmacokinetic analysis was performed using NONMEM program.
RESULTS: The significant influences of CYP3A5*3, CYP3A4*1G, and POR*28 polymorphisms on tacrolimus dose-adjusted trough concentrations (C0/D) were observed in 83 renal recipients. Subgroup analysis showed that POR*28 polymorphisms significantly decreased tacrolimus C0/D by 1.50 - 1.84-fold (p < 0.05) in patients who were CYP3A5 expressers (CYP3A5*1 carriers, n = 46), while similar results could not be obtained from CYP3A5 non-expressers (CYP3A5*3/*3 carriers, n = 37). Additionally, population pharmacokinetic analysis identified that the combined genotype of CYP3A5-POR was the only covariant for the apparent clearance of tacrolimus (CL/F).
CONCLUSIONS: The study demonstrated that the POR*28 C>T mutation could decrease the C0/D of tacrolimus in renal recipients who were CYP3A5 expressers. The population pharmacokinetic model showed that the combined genotype of CYP3A5-POR was associated with the CL/F of tacrolimus which might provide references for personalized use of tacrolimus in clinic.

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Year:  2015        PMID: 26227094     DOI: 10.5414/CP202152

Source DB:  PubMed          Journal:  Int J Clin Pharmacol Ther        ISSN: 0946-1965            Impact factor:   1.366


  15 in total

1.  Genome-wide association study identifies the common variants in CYP3A4 and CYP3A5 responsible for variation in tacrolimus trough concentration in Caucasian kidney transplant recipients.

Authors:  W S Oetting; B Wu; D P Schladt; W Guan; R P Remmel; R B Mannon; A J Matas; A K Israni; P A Jacobson
Journal:  Pharmacogenomics J       Date:  2017-11-21       Impact factor: 3.550

2.  Tacrolimus trough and dose intra-patient variability and CYP3A5 genotype: Effects on acute rejection and graft failure in European American and African American kidney transplant recipients.

Authors:  Stephan R Seibert; David P Schladt; Baolin Wu; Weihua Guan; Casey Dorr; Rory P Remmel; Arthur J Matas; Roslyn B Mannon; Ajay K Israni; William S Oetting; Pamala A Jacobson
Journal:  Clin Transplant       Date:  2018-10-31       Impact factor: 2.863

3.  Tacrolimus troughs and genetic determinants of metabolism in kidney transplant recipients: A comparison of four ancestry groups.

Authors:  Moataz E Mohamed; David P Schladt; Weihua Guan; Baolin Wu; Jessica van Setten; Brendan J Keating; David Iklé; Rory P Remmel; Casey R Dorr; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; William S Oetting; Pamala A Jacobson
Journal:  Am J Transplant       Date:  2019-05-13       Impact factor: 8.086

4.  Wuzhi Capsule Dosage Affects Tacrolimus Elimination in Adult Kidney Transplant Recipients, as Determined by a Population Pharmacokinetics Analysis.

Authors:  Lizhi Chen; Yunyun Yang; Xuebin Wang; Chenyu Wang; Weiwei Lin; Zheng Jiao; Zhuo Wang
Journal:  Pharmgenomics Pers Med       Date:  2021-09-03

5.  Population Pharmacokinetics and Initial Dosage Optimization of Tacrolimus in Pediatric Hematopoietic Stem Cell Transplant Patients.

Authors:  Xiao-Lin Liu; Yan-Ping Guan; Ying Wang; Ke Huang; Fu-Lin Jiang; Jian Wang; Qi-Hong Yu; Kai-Feng Qiu; Min Huang; Jun-Yan Wu; Dun-Hua Zhou; Guo-Ping Zhong; Xiao-Xia Yu
Journal:  Front Pharmacol       Date:  2022-07-06       Impact factor: 5.988

Review 6.  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

7.  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

8.  Evaluating tacrolimus pharmacokinetic models in adult renal transplant recipients with different CYP3A5 genotypes.

Authors:  Can Hu; Wen-Jun Yin; Dai-Yang Li; Jun-Jie Ding; Ling-Yun Zhou; Jiang-Lin Wang; Rong-Rong Ma; Kun Liu; Ge Zhou; Xiao-Cong Zuo
Journal:  Eur J Clin Pharmacol       Date:  2018-07-17       Impact factor: 2.953

Review 9.  Population Pharmacokinetics of Tacrolimus in Transplant Recipients: What Did We Learn About Sources of Interindividual Variabilities?

Authors:  Olivia Campagne; Donald E Mager; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2018-10-29       Impact factor: 3.126

Review 10.  African American ancestry contribution to asthma and atopic dermatitis.

Authors:  Michelle Daya; Kathleen C Barnes
Journal:  Ann Allergy Asthma Immunol       Date:  2019-02-15       Impact factor: 6.347

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