Population Pharmacokinetics of Sirolimus in Chinese Adult Liver Transplant Recipients: A Retrospective Study

Xenobiotica ◽  
2022 ◽  
pp. 1-20
Author(s):  
Yang Zhang ◽  
Xuanling Zhang ◽  
Yue Zou ◽  
Yiqi Sun ◽  
Xingang Li
2019 ◽  
Vol 54 (7) ◽  
pp. 652-661 ◽  
Author(s):  
Jia Shao ◽  
Chenyu Wang ◽  
Peng Fu ◽  
Fan Chen ◽  
Yi Zhang ◽  
...  

Background: Tacrolimus (TAC) is widely used after liver transplantation, but the therapeutic window is narrow. Objective: The purpose was to study both donor and recipient CYP3A5*3 genotypes affecting TAC apparent clearance rate (CL/F) and investigate a TAC population pharmacokinetic (PPK) model in Chinese liver transplant recipients for potential starting-dose individualized medication. Methods: A data set of 721 TAC concentrations was obtained from 43 adult liver transplant recipients. The TAC PPK model was analyzed using nonlinear mixed-effects modeling. Potential covariates, including demographic characteristics, physiological and pathological data, concomitant medications, and CYP3A5*3 genotype, were evaluated. The final model was validated using normalized prediction distribution errors and bootstrapping. Results: A 2-compartment model with first-order absorption and elimination was used to describe TAC disposition. Population estimates of TAC, CL/F, apparent central distribution volume (V2/F), rate of absorption (Ka), and apparent peripheral distribution volume (V3/F) were 18.1 L/h (12%), 72.7 L (34%), 0.163 h−1 (17%), and 412 L (21%), respectively. The model and estimated parameters were found to be stable. Other covariates did not influence TAC CL/F. Both donor and recipient CYP3A5*1 genotypes were significantly correlated with TAC clearance, and CL/F was 1.70-fold higher in both donor and recipient CYP3A5*1 carriers than in noncarriers among Chinese liver transplant recipients. Conclusion and Relevance: A PPK model of TAC was established in Chinese adult liver transplantation recipients for starting-dose individualized medication, which can be expanded to optimize clinical efficacy and minimize toxicity with therapeutic drug monitoring.


2005 ◽  
Vol 18 (8) ◽  
pp. 960-966 ◽  
Author(s):  
Gerda Drent ◽  
Elizabeth B. Haagsma ◽  
Sabina De Geest ◽  
Aad P. van den Berg ◽  
Els M. Ten Vergert ◽  
...  

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