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Individual dose recommendations for drug interaction between tacrolimus and voriconazole in adult liver transplant recipients: A semiphysiologically based population pharmacokinetic modeling approach.

Authors :
Li, Zi-ran
Shen, Cong-huan
Li, Rui-dong
Wang, Bei
Li, Juan
Niu, Wan-jie
Zhang, Li-jun
Zhong, Ming-kang
Wang, Zheng-xin
Qiu, Xiao-yan
Source :
European Journal of Pharmaceutical Sciences. May2023, Vol. 184, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

The magnitude of drug-drug interaction between tacrolimus and voriconazole is highly variable, and individually tailoring the tacrolimus dose when concomitantly administered with voriconazole remains difficult. This study aimed to develop a semiphysiologically based population pharmacokinetic (semi-PBPK) model and a web-based dashboard to identify the dynamic inhibition of tacrolimus metabolism caused by voriconazole and provide individual tacrolimus regimens for Chinese adult liver transplant recipients. A total of 264 tacrolimus concentrations and 146 voriconazole concentrations were prospectively collected from 32 transplant recipients. A semi-PBPK model with physiological compartments including the gut wall, portal vein, and liver was developed using the nonlinear mixed-effects modeling software NONMEM (version 7.4). A web-based dashboard was established in R software (version 3.6.1) to recommend the individual tacrolimus regimens when concomitantly administered with voriconazole. The reversible inhibition of tacrolimus metabolism caused by voriconazole was investigated in both the liver and the gut wall. Moreover, voriconazole could highly inhibit the CYP3A activity in the gut wall more than in the liver. BMI and postoperative days were identified as significant covariates on intrinsic intestinal and hepatic clearance of tacrolimus, respectively. Age and postoperative days were identified as significant covariates on the volume of distribution of voriconazole. The individual tacrolimus regimens when concomitantly administered with voriconazole could be recommended in the dashboard (https://tac-vor-ddi.shinyapps.io/shinyapp3/). In conclusion, the semi-PBPK model successfully described the dynamic inhibition process between tacrolimus and voriconazole, and the web-based dashboard could provide individual tacrolimus regimens when concomitantly administered with voriconazole. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09280987
Volume :
184
Database :
Academic Search Index
Journal :
European Journal of Pharmaceutical Sciences
Publication Type :
Academic Journal
Accession number :
162591675
Full Text :
https://doi.org/10.1016/j.ejps.2023.106405