他克莫司在埃及肝移植受者体内的药代动力学:经典协变量的作用

Abdel-hamid Ebid, S. Mohamed, A. Mira, A. Saleh
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引用次数: 3

摘要

目的:在优化所有已知的影响他克莫司全血水平差异性的经典因素后,研究他克莫司在成人肝移植受者体内的药代动力学。同时,检测全血他克莫司水平的变异性是否仍然存在或者这种变异性仅仅是经典协变量的一个函数因此它们的优化将减少或消除它。方法:选取埃及开罗国际医学中心消化科26例接受活体供肝移植的男性终末期肝病患者。当他克莫司与霉酚酸酯和强的松龙联合使用三重免疫抑制方案时,患者最初被认为是本研究的候选者。选择的患者在人口统计学和预处理临床数据方面没有显著差异。在给药前每隔一段时间抽取患者血样,采用化学发光微粒免疫分析法(CMIA)检测全血中他克莫司的含量。肝移植后6个月,根据患者的他克莫司谷值将患者分为3组;按日剂量(C/D比)归一化,分为快、中、慢代谢产物。结果:结果显示,在每个采样时间,患者的全血他克莫司水平存在不可预测的变异性,在移植后6个月内,个体的平均全血他克莫司水平存在显著的患者间变异性(P值:<0.0001)。他克莫司的药代动力学也有明显的患者间差异。移植后1个月,他克莫司C/D比值为0.53 ~ 12.2 (ng/ml*1/mg),他克莫司口服清除率(CL/F)为3.4 ~ 79.4 L/hr。移植后3个月,他克莫司C/D比值为0.78 ~ 8.50 (ng/ml*1/mg),他克莫司CL/F为4.9 ~ 53.2 L/hr。移植后6个月,他克莫司C/D比值为0.73 ~ 7.10 (ng/ml*1/mg),他克莫司CL/F为5.9 ~ 56.8 L/hr。患者的总体平均C/D比和口服清除率也表现出很大的差异,分别为2.80±1.89 (CV: 67.5%)和21.3±12.9 (CV:60.7%)。结论:尽管对已知影响他克莫司浓度的所有经典协变量进行了仔细的患者选择和优化,但全血他克莫司浓度和他克莫司药代动力学仍存在变异性,提示存在其他未研究的因素;最近进化的遗传因素可能有助于这种变异性。建议仍将治疗药物监测作为他克莫司治疗的一个组成部分,以控制反应的变化,直到发现一个考虑所有预期协变量的模型来预测反应。
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Pharmacokinetics of Tacrolimus in Egyptian Liver Transplant Recipients: Role of the Classic Co-variables
Objectives: This work was performed to study the pharmacokinetics of tacrolimus in adult liver transplant recipients after optimization of all the known classic factors contributing to inter-patient variability in whole blood tacrolimus levels. Also, to detect if any variability in whole blood tacrolimus levels still exists or this variability is only a function of the classic co-variables so that their optimization will diminish or eliminate it. Methods: Twenty-Six male patients with end-stage liver disease undergoing living donor liver transplantation were selected from the Gastroenterology Department of the International Medical Center, Cairo, Egypt, were enrolled in the study. A patient is initially considered to be a candidate for this study when tacrolimus was indicated as a part of a triple immune suppressive regimen with mycophenolate mofetil and prednisolone. Patients were selected to have non-significant variations in their demographics and pretreatment clinical data. Blood samples were drawn from each patient before the morning dose at specified intervals and the whole blood was assayed for tacrolimus, using Chemiluminescent Microparticle Immunoassay method (CMIA). Six months after liver transplantation, patients were classified into 3 groups based on their tacrolimus trough levels; normalized by its daily dose (C/D ratio), into fast, intermediate and slow metabolizers. Results: The results revealed unpredictable variability in whole blood tacrolimus levels among patients at each sampling time and a marked inter-patient variability in mean whole blood tacrolimus levels among individuals throughout the six months post transplantation period, (P value: <0.0001). Considerable inter-patient variability was also evident in tacrolimus pharmacokinetics. During 1st month post-transplant, tacrolimus C/D ratio varied from 0.53 to 12.2 (ng/ml*1/mg) and tacrolimus oral clearance (CL/F) varied from 3.4 to 79.4 L/hr. At 3rd month post-transplant, tacrolimus C/D ratio varied from 0.78 to 8.50 (ng/ml*1/mg) and tacrolimus CL/F varied from 4.9 to 53.2 L/hr. At 6th month post-transplant, tacrolimus C/D ratio varied from 0.73 to 7.10 (ng/ml*1/mg) and tacrolimus CL/F varied from 5.9 to 56.8 L/hr. The overall mean C/D ratio and oral clearance also showed a great variability among patients with a mean of 2.80±1.89 (CV: 67.5%) and 21.3±12.9 (CV:60.7%), respectively. Conclusion: The variability in whole blood tacrolimus concentrations and tacrolimus pharmacokinetics existed in spite of careful patient selection and optimization of all the classic co-variables known to affect tacrolimus concentrations, suggesting the presence of other unstudied factors; the recently evolving genetic factors might contribute to this variability. It is recommended to still considering therapeutic drug monitoring as an integral part of tacrolimus therapy to control variations in response until the discovery of a model that considers all the expected covariates to predict the response.
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