Literature DB >> 24089074

Population pharmacokinetics of tacrolimus in adult kidney transplant patients: impact of CYP3A5 genotype on starting dose.

Troels K Bergmann1, Stefanie Hennig, Katherine A Barraclough, Nicole M Isbel, Christine E Staatz.   

Abstract

OBJECTIVES: The aims of this study were to develop a population pharmacokinetic model of tacrolimus in adult kidney transplant recipients, to use this model to compare cytochrome P450 3A5 (CYP3A5) genotype-based initial dosing of tacrolimus with standard per-kilogram-based dosing, and to predict the best starting dose of tacrolimus based on patient genotype to achieve a trough concentration between 6 and 10 µg/L by day 5 posttransplantation.
METHODS: Population analysis was performed using the software program NONMEM. Tacrolimus dosing regimens were compared by predicting tacrolimus trough concentrations in a simulated data set by running NONMEM with population parameters fixed at the final model estimates. Data from 173 patients with 1554 tacrolimus concentration-time measurements were modeled.
RESULTS: Tacrolimus disposition was well described by a 2-compartment model with first-order elimination and first-order absorption after a lag time. Patient CYP3A5 genotype (rs776746), weight, hematocrit, and postoperative day were identified as significant covariates effecting tacrolimus apparent oral clearance (CL/F), with higher CL/F in CYP3A5*1 allele carriers, heavier patients, patients with low hematocrit, and in the immediate posttransplantation period. Typical population estimates for tacrolimus CL/F in CYP3A5*1 allele carriers and noncarriers were 40.8 and 25.5 L/h, respectively.
CONCLUSIONS: In patients carrying the CYP3A5*1 allele, a per-kilogram dose of 0.075 mg/kg twice daily seemed too much low with approximately 65% of simulated subjects predicted to achieve a trough below 6 µg/L at day 5 posttransplantation. To reduce the risk of under immunosuppression in the immediate posttransplantation period, carriers of a CYP3A5*1 allele are likely to benefit from a tacrolimus starting dose of either 10 mg or 0.115 mg/kg twice daily.

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Year:  2014        PMID: 24089074     DOI: 10.1097/FTD.0b013e31829f1ab8

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  24 in total

1.  Partnering with Clinical Pharmacologists to Improve Medication Use in Children.

Authors:  Shogo John Miyagi; Edwin Lam; Sonya Tang Girdwood
Journal:  J Pediatr       Date:  2020-12       Impact factor: 4.406

2.  Tacrolimus exposure early after lung transplantation and exploratory associations with acute cellular rejection.

Authors:  David R Darley; Lilibeth Carlos; Stefanie Hennig; Zhixin Liu; Richard Day; Allan R Glanville
Journal:  Eur J Clin Pharmacol       Date:  2019-03-12       Impact factor: 2.953

3.  Population pharmacokinetic analysis of tacrolimus in Chinese cardiac transplant recipients.

Authors:  Yan Gong; Ming Yang; Yongfeng Sun; Jing Li; Yongning Lu; Xingang Li
Journal:  Eur J Hosp Pharm       Date:  2019-01-19

4.  Improved Tacrolimus Target Concentration Achievement Using Computerized Dosing in Renal Transplant Recipients--A Prospective, Randomized Study.

Authors:  Elisabet Størset; Anders Åsberg; Morten Skauby; Michael Neely; Stein Bergan; Sara Bremer; Karsten Midtvedt
Journal:  Transplantation       Date:  2015-10       Impact factor: 4.939

Review 5.  Population Pharmacokinetic Modelling and Bayesian Estimation of Tacrolimus Exposure: Is this Clinically Useful for Dosage Prediction Yet?

Authors:  Emily Brooks; Susan E Tett; Nicole M Isbel; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2016-11       Impact factor: 6.447

6.  Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach.

Authors:  Tom M Nanga; Thao T P Doan; Pierre Marquet; Flora T Musuamba
Journal:  Br J Clin Pharmacol       Date:  2019-12-17       Impact factor: 4.335

7.  A pharmacogenomic study on the pharmacokinetics of tacrolimus in healthy subjects using the DMETTM Plus platform.

Authors:  Y Choi; F Jiang; H An; H J Park; J H Choi; H Lee
Journal:  Pharmacogenomics J       Date:  2016-02-16       Impact factor: 3.550

8.  Evaluating tacrolimus pharmacokinetic models in adult renal transplant recipients with different CYP3A5 genotypes.

Authors:  Can Hu; Wen-Jun Yin; Dai-Yang Li; Jun-Jie Ding; Ling-Yun Zhou; Jiang-Lin Wang; Rong-Rong Ma; Kun Liu; Ge Zhou; Xiao-Cong Zuo
Journal:  Eur J Clin Pharmacol       Date:  2018-07-17       Impact factor: 2.953

Review 9.  Population Pharmacokinetics of Tacrolimus in Transplant Recipients: What Did We Learn About Sources of Interindividual Variabilities?

Authors:  Olivia Campagne; Donald E Mager; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2018-10-29       Impact factor: 3.126

10.  Tacrolimus Dose-Conversion Ratios Based on Switching of Formulations for Patients with Solid Organ Transplants.

Authors:  Wen-Yuan Johnson Kuan; Nathalie Châteauvert; Vincent Leclerc; Benoît Drolet
Journal:  Can J Hosp Pharm       Date:  2021
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