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器官移植中药理学遗传学与个体化免疫抑制药物给药的当前进展。

Current progress in pharmacogenetics and individualized immunosuppressive drug dosing in organ transplantation.

作者信息

Ware Nicholas, MacPhee Iain A M

机构信息

University of London, St George's Hospital, Cranmer Terrace, London, SW17 0RE, UK.

出版信息

Curr Opin Mol Ther. 2010 Jun;12(3):270-83.

Abstract

The immunosuppressive drugs used in organ transplantation typically have a narrow therapeutic index, with wide variation in the blood concentration achieved from a given dose observed between individuals. This issue has been addressed through the use of therapeutic drug monitoring (TDM), but it may take 5 to 7 days to reach target blood concentrations using this approach. This timeline is not conducive to achieving sufficiently high concentrations in all patients to prevent graft rejection without exposing the patient to excessive toxicity over the critical 2- to 3-day period following transplantation. SNPs in drug-metabolizing enzymes and transporter proteins have been associated with the pharmacokinetic and pharmacodynamic characteristics of immunosuppressive drugs. Data suggest that genetic prediction of the optimal initial drug dose leads to earlier attainment of target blood concentrations compared with using the standard initial dose. The pharmacogenetic strategy that is closest to translation into clinical practice is the use of the cytochrome P450 (CYP)3A5 genotype to predict the optimal initial dose for tacrolimus. Genetic prediction of the optimal dose may be particularly useful for drugs with a long half-life, such as sirolimus, which require several days to achieve a steady state following the implementation of a change in drug dosing, resulting in a long response-time for TDM. The influence of genetic factors on intracellular drug concentrations and the consequences for efficacy and toxicity are an emerging area of research. The SNPs described in this process could be added to existing molecular tissue typing methodology at minimal extra financial expense.

摘要

器官移植中使用的免疫抑制药物通常治疗指数较窄,个体之间给予相同剂量后所达到的血药浓度差异很大。通过治疗药物监测(TDM)解决了这一问题,但采用这种方法可能需要5至7天才能达到目标血药浓度。这个时间线不利于在所有患者中达到足够高的浓度以防止移植排斥,同时又不会在移植后的关键2至3天内使患者暴露于过度毒性之下。药物代谢酶和转运蛋白中的单核苷酸多态性(SNP)与免疫抑制药物的药代动力学和药效学特征相关。数据表明,与使用标准初始剂量相比,对最佳初始药物剂量进行基因预测可使目标血药浓度更早达到。最接近转化为临床实践的药物遗传学策略是使用细胞色素P450(CYP)3A5基因型来预测他克莫司的最佳初始剂量。对于半衰期长的药物,如西罗莫司,最佳剂量的基因预测可能特别有用,这类药物在改变给药剂量后需要几天时间才能达到稳态,导致TDM的反应时间较长。遗传因素对细胞内药物浓度的影响以及对疗效和毒性的后果是一个新兴的研究领域。在此过程中描述的SNP可以以最小的额外财务费用添加到现有的分子组织分型方法中。

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