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Determination of the Most Influential Sources of Variability in Tacrolimus Trough Blood Concentrations in Adult Liver Transplant Recipients: A Bottom-Up Approach

机译:确定成人肝移植受者他克莫司低谷血药浓度变异性的最有力来源:自下而上的方法

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摘要

Tacrolimus, an immunosuppressant drug, presents a narrow therapeutic window and a large pharmacokinetic variability with poor correlation between drug dosing regimen and blood concentration. The objective was to identify predictive factors influencing tacrolimus trough concentrations (C0) using a bottom-up approach. A physiologically based pharmacokinetic (PBPK) model of tacrolimus was proposed, taking into account the body weight, the proportion of fat (Pfat), hematocrit, lipid fraction of organs, typical intrinsic clearance (CLityp), CYP3A5 genotype of liver donor, plasma unbound fraction of tacrolimus (fup), and concomitant drugs (CYP3A4 inhibitors). For the evaluation of the PBPK model, mean C0 and concentrations 2 h after oral dose of tacrolimus were compared with those from 66 liver transplant recipients included in a multicentric pharmacokinetic study and were found very close. Tacrolimus concentration profiles were simulated in a virtual population defined by a set of covariate values similar to those from the real population. The sensitivity of tacrolimus C0 with respect to each covariate has been tested to identify the most influential ones. With the range of covariate values tested, the impact of each covariate on tacrolimus C0 may be ranked as follows: fup, CLityp, bioavailability, body weight, hematocrit, CYP3A5 polymorphism, Pfat, and CYP3A4 inhibitory drug–drug interactions. Values for initial dosing regimen of tacrolimus in order to reach a C0 of 10 ng/ml at day 5 (assuming a constant dosing schedule) as a function of CYP3A5 donor genotype and patient’s hematocrit and body weight are proposed.Electronic supplementary materialThe online version of this article (doi:10.1208/s12248-014-9577-8) contains supplementary material, which is available to authorized users.
机译:他克莫司是一种免疫抑制剂,具有狭窄的治疗范围和较大的药代动力学变异性,给药方案与血药浓度之间的相关性较差。目的是使用自下而上的方法来确定影响他克莫司谷浓度(C0)的预测因素。考虑到体重,脂肪(Pfat)的比例,血细胞比容,器官的脂质分数,典型内在清除率(CLityp),肝供体的CYP3A5基因型,血浆未结合的血浆,他克莫司建立了基于生理学的药代动力学(PBPK)模型他克莫司(fup)的部分药物和伴随药物(CYP3A4抑制剂)。为了评估PBPK模型,将他克莫司口服剂量后2小时的平均C0和浓度与多中心药代动力学研究中包括的66位肝移植受者的平均C0和浓度进行了比较,发现非常接近。他克莫司浓度分布图是在一组虚拟变量中模拟的,该虚拟变量由一组与实际人群相似的协变量值定义。他克莫司C0对每个协变量的敏感性已经过测试,以确定最有影响的变量。在所测试的协变量值范围内,每个协变量对他克莫司C0的影响的等级如下:fup,CLityp,生物利用度,体重,血细胞比容,CYP3A5多态性,Pfat和CYP3A4抑制性药物相互作用。提出他克莫司的初始给药方案的值,以使其在第5天(假设给药方案恒定)在第5天的C0达到10ng / ml,这是CYP3A5供体基因型与患者的血细胞比容和体重的函数。本文(doi:10.1208 / s12248-014-9577-8)包含补充材料,授权用户可以使用。

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