3 years ago

Population pharmacokinetics and Bayesian estimation of tacrolimus exposure in Chinese liver transplant patients

Population pharmacokinetics and Bayesian estimation of tacrolimus exposure in Chinese liver transplant patients
H. Chen, X.-X. Liu, B.-M. Xu, W.-X. Zhang, H.-Q. Shi, J.-Q. Lu, B. Chen
What is known and objectives Tacrolimus (TAC) is widely used as part of immunosuppressive regimens. There is great interindividual variation on the disposition of TAC. The aim of this study was to develop a population pharmacokinetic (PPK) model for Chinese liver transplant patients and evaluate genetic polymorphism and other possible factors on the PK parameters. The exposure of TAC is to be estimated through Bayesian modelling. Methods A total of 47 sets of rich-time PK and 1234 conventional therapeutic drug monitoring (TDM) data were collected from 125 Chinese liver transplant patients. The pathophysiological data of these patients were recorded. CYP3A5*3 and ABCB1 genotypes were determined for each patient. The PPK model for TAC was established by nonlinear mixed-effects modelling (nonmem). The impact of pathophysiology and genotype on PPK parameters was evaluated. Bayesian estimators for the area under concentration-time curve (AUC) of TAC were validated. Results A two-compartment model with lag time was found to be the most suitable model for the pooled full PK and TDM data for Chinese liver transplant patients. The CL/F, V2/F, Q/F, V3/F, Ka and lag time were 17.4±0.81 L/h, 165±44.1 L, 54.9±25.8L/h, 594±87.5 L, 0.51±0.095 L/h and 1.57±0.34 h. Post-operative day (POD), creatinine clearance (CLcr) and ABCB1 C3435T genotypes were found to have significant influences on CL/F (P<.01). ABCB1 C3435T genotypes showed a significant correlation with V2/F (P<.01). C0–C2 and C0–C2–C4 were shown to be suitable for the estimation of AUC in Chinese liver transplant patients. What is new and conclusion A PPK model for TAC was established successfully in Chinese liver transplant patients. POD, CLcr and ABCB1 C3435T genotypes were shown to have significant effects on CL/F. The AUC of TAC in Chinese liver transplant patients could be estimated through Bayesian modelling, based on which individualized immunosuppressive regimens can be designed. Visual predictive check based on the final model in patients with ABCB1 CC (A), CT (B) and TT (C) genotypes. A population pharmacokinetic (PPK) model for tacrolimus (TAC) was established successfully based on 47 sets of rich time PK and 1234 conventional therapeutic drug monitoring (TDM) data Chinese liver transplant patients. ABCB1 C3435T genotypes were shown to have significant effects on CL/F. The area under concentration-time curve (AUC) of TAC in Chinese liver-transplant patients could be estimated through Bayesian modelling, based on which individualized immunosuppressive regimens can be designed.

Publisher URL: http://onlinelibrary.wiley.com/resolve/doi

DOI: 10.1111/jcpt.12599

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