[Individualized dosage regimen of immunosuppressive drugs based on pharmacokinetic and pharmacodynamic analysis]

Population pharmacokinetics of tacrolimus in Chinese adult liver transplant patients

Tacrolimus is widely used in organ transplantation to prevent rejection. However, the narrow therapeutic window and the large inter-and intra-individual variability in the pharmacokinetics (PK) of tacrolimus make it difficult for individualization of dosing. This study aimed at developing a population pharmacokinetic model for estimating the oral clearance of tacrolimus in Chinese liver transplant patients, and identifying factors that contribute to the PK variability of tacrolimus. Data of 151 liver transplant patients who received tacrolimus were analyzed in this study. The population PK model was analyzed and the covariates including population demographic and biochemical characteristics, drug combination, and genetic polymorphism were explored using non-linear mixed-effects modeling approach. A single-compartment population PK model was developed, and the final model was CL/F = (14.6-2.38 × cytochrome P450 (CYP) 3A5-3.72 × WZC+1.04 × (POD/9)+2.48 × COR) × Exp(η_i ), where CYP3A5 was 1 for CYP3A5*3/*3, Wuzhi Capsule (WZC) was 1 when patients took tacrolimus combined with WZC, otherwise it was 0, corticosteroids (COR) was 1 when patients take tacrolimus combined with COR, otherwise, it was 0, POD was the post-operative day. Visual inspection and bootstrap indicated that the final model was stable and robust. In this study, we developed the first tacrolimus population PK model in Chinese adult liver transplant patients. We first determined the influence of WZC on tacrolimus in these people, which could provide useful PK information for the drug combination of tacrolimus and WZC. We also revealed the influence of genetic polymorphism of CYP3A5, POD, and a combination of COR on tacrolimus PK. Therefore, these significant factors should be taken into consideration in optimizing dosage regimens.

Population pharmacokinetics of cyclosporine A based on NONMEM in Chinese allogeneic hematopoietic stem cell transplantation recipients

To set up a population pharmacokinetic (PPK) model of cyclosporine A (CsA) in Chinese allogeneic hematopoietic stem cell transplantation (allo-HSCT) patients to provide reference for individualized medication in clinical practice. 281 trough plasma concentrations of CsA and covariates such as demographics, clinical laboratory values and coadministration were retrospectively collected from 73 allo-HSCT patients. Population modeling was performed using general model of NONMEM expressed by differential equation. Hematocrit (HCT), plasma albumin (ALB) level, and coadministration of itraconazole (ITR) were found to significantly affect the clearance of CsA (CL, L/h). The final model formula was: CL = 28.2 × [1 - 0.0263 × (HCT - 26.62)] × [1 - 0.0289 × (ALB - 37.63)] × [1 - 0.146 × ITR] (L/h); V = 1,080 (L); K (a) = 1.28 (h⁻¹); F = 0.711. The interindividual variabilities for CL, V and F were 21.4, 41.5 and 6.07 %, respectively. The residual error was 0.00422 mg/L. The PPK model was validated to be effective and stable by bootstrap method. Clinical applications showed there was a good linear correlation between the predicted concentrations and the observed (y = 1.0095x + 0.0082, r = 0.9309, p < 0.0001). The PPK final model of CsA in Chinese allo-HSCT patients can be established using the NONMEM program which can be applied in clinical allo-HSCT practice when characteristics of patients fit in with those of subpopulation in the study.