Literature DB >> 25869250

Effects of CYP3A5 genotypes, ABCB1 C3435T and G2677T/A polymorphism on pharmacokinetics of Tacrolimus in Chinese adult liver transplant patients.

LiQin Zhu1, JianWei Yang, Yuan Zhang, YaQing Jing, YanWen Zhang, Guang Li.   

Abstract

1. The purpose of this study was to establish a population pharmacokinetic (PK) model of tacrolimus and evaluate the influence of clinical covariates, including the genetic polymorphisms of the cytochrome P450 3A5 gene (CYP3A5) and gene-encoding P-glycoprotein (ABCB1), on the PK parameters in Chinese adult liver transplant recipients. 2. Details of drug dose, sampling times and concentrations were collected retrospectively from routine therapeutic drug monitoring data early after liver transplant. Tacrolimus PKs was studied by a non-linear mixed-effect modeling (NONMEM) method. CYP3A5 genotypes, ABCB1 C3435T and G2677T/A polymorphism and a number of clinical covariates were tested for their influence on TAC PKs. 3. A one-compartment model with first-order absorption and elimination adequately described the data. Apparent clearance (CL/F) and apparent volumes of distribution (V/F) in final population model were 17.6 L/h and 225 L, respectively. The absorption rate constant (Ka) was fixed at 4.48 h(-1). The inter-individual variability in CL/F and V/F was 53.9 and 68%, respectively. In the final model, CYP3A5 genotype, post-operative day, alanine aminotransferase, total bilirubin, hematocrit and blood urea nitrogen were found to significantly influence the CL/F, whereas POD and HB influence V/F. 4. Population PK analysis of tacrolimus in Chinese adult liver transplant patients resulted in identification of the CYP3A5 genotype, POD, BUN, ALP, HCT, TBIL and HB as significant covariates on the PK parameters of tacrolimus.

Entities:  

Keywords:  ABCB1 C3435T; CYP3A5; G2677T/A; liver transplant; tacrolimus

Mesh:

Substances:

Year:  2015        PMID: 25869250     DOI: 10.3109/00498254.2015.1021733

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  9 in total

1.  The impact of liver transplant recipient and donor genetic variability on tacrolimus exposure and transplant outcome.

Authors:  Janet K Coller; Jeyamani Ramachandran; Libby John; Jonathan Tuke; Alan Wigg; Matthew Doogue
Journal:  Br J Clin Pharmacol       Date:  2019-07-24       Impact factor: 4.335

Review 2.  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

3.  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

Review 4.  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

5.  Tacrolimus Dose-Conversion Ratios Based on Switching of Formulations for Patients with Solid Organ Transplants.

Authors:  Wen-Yuan Johnson Kuan; Nathalie Châteauvert; Vincent Leclerc; Benoît Drolet
Journal:  Can J Hosp Pharm       Date:  2021

6.  The correlation between the expression of genes involved in drug metabolism and the blood level of tacrolimus in liver transplant receipts.

Authors:  Jianhai Wang; Keqiu Li; Xiaoning Zhang; Dahong Teng; Mingyan Ju; Yaqing Jing; Yuxia Zhao; Guang Li
Journal:  Sci Rep       Date:  2017-06-13       Impact factor: 4.379

7.  CYP3A5 genotype-based model to predict tacrolimus dosage in the early postoperative period after living donor liver transplantation.

Authors:  Eunhee Ji; Myeong Gyu Kim; Jung Mi Oh
Journal:  Ther Clin Risk Manag       Date:  2018-10-25       Impact factor: 2.423

8.  Tacrolimus increases the expression level of the chemokine receptor CXCR2 to promote renal fibrosis progression.

Authors:  Dongdong Wang; Xiao Chen; Meng Fu; Hong Xu; Zhiping Li
Journal:  Int J Mol Med       Date:  2019-10-10       Impact factor: 4.101

9.  Population pharmacokinetics of tacrolimus in pediatric patients with systemic-onset juvenile idiopathic arthritis: Initial dosage recommendations.

Authors:  Dongdong Wang; Xiao Chen; Hong Xu; Zhiping Li
Journal:  Exp Ther Med       Date:  2019-10-25       Impact factor: 2.447

  9 in total

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