Exploring the comprehensive factors influencing tacrolimus pharmacokinetics in early renal transplant recipients: A population pharmacokinetic analysis

被引:0
作者
Zhang, Yan [1 ]
Xue, Ling [1 ]
Hu, Linkun [2 ]
Wang, Liangliang [2 ]
Pan, Hao [2 ]
Lin, Yuxin [2 ]
Ding, Xiaoliang [1 ]
Huang, Yuhua [2 ]
Miao, Liyan [1 ,3 ,4 ]
机构
[1] Soochow Univ, Affiliated Hosp 1, Dept Pharm, Suzhou, Peoples R China
[2] Soochow Univ, Affiliated Hosp 1, Dept Urol, Suzhou, Peoples R China
[3] Soochow Univ, Inst Interdisciplinary Drug Res & Translat Sci, Suzhou, Peoples R China
[4] Soochow Univ, Coll Pharmaceut Sci, Suzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Tacrolimus; Population pharmacokinetics; Renal transplantation; CYP3A5; CYP3A5; GENOTYPE; CLINICAL PHARMACOKINETICS; ADULT PATIENTS; MODEL; CYCLOSPORINE; DOSAGE; PHARMACOGENETICS; BIOAVAILABILITY; PREDICTION; DILTIAZEM;
D O I
10.1007/s00228-025-03825-7
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Purpose To establish a population pharmacokinetic (PopPK) model of tacrolimus in the early stages after renal transplantation and evaluate the model's predictive performance with external data. Methods Intravenous and oral tacrolimus were administered to 302 renal transplant recipients in the early posttransplantation stages. Related data were obtained from the electronic medical records. Single nucleotide polymorphisms in genes associated with tacrolimus pharmacokinetics were tested. The data were analyzed by NONMEM. The external data from 153 patients were subsequently used to evaluate model extrapolation. Results A one-compartment model was used to determine tacrolimus pharmacokinetics. The estimated clearance (CL), volume of distribution (V) and bioavailability (F) of tacrolimus were 4.91 L/h, 77 L and 26.5%, respectively. CL and V decreased with increasing hematocrit. CL and F decreased with increasing operation time. Diltiazem and Wuzhi capsule resulted in 28.4% and 43.9% decreases in the CL, respectively. Omeprazole or esomeprazole resulted in a 9% increase in F. The value of F for patients expressing CYP3A5 was 36.6% lower than that for the patients who did not express CYP3A5. The evaluation of external data revealed that the proportion of individual prediction error within 20% of the observed tacrolimus concentration was greater than 77.3%. Conclusions A PopPK model for tacrolimus was established for early renal transplantation. CYP3A5 was a significant covariate for F. Fat-free mass was the best predictor of the influence of body size on CL and V. The model could be extrapolated to stable renal transplant recipients.
引用
收藏
页码:785 / 799
页数:15
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