Mourad Michel, Wallemacq Pierre, De Meyer Martine, Malaise Jacques, De Pauw Luc, Eddour Djamila Chaïb, Goffin Eric, Lerut Jan, Haufroid Vincent
Department of Surgery, Surgery and Abdominal Transplantation Division, Université Catholique de Louvain, Saint Luc University Hospital, Brussels, Belgium.
Transplantation. 2008 Apr 15;85(7 Suppl):S19-24. doi: 10.1097/TP.0b013e318169c380.
Immunosuppressive drugs commonly used after organ transplantation to prevent acute rejection including tacrolimus, cyclosporine, sirolimus, and mycophenolic acid are characterized by a narrow therapeutic index and broad interindividual variability in their pharmacokinetics. Adequate immunosuppression aims to reach an optimal benefit-risk ratio. Therapeutic drug monitoring represents a crucial step in routine practice to maintain blood concentrations within the target window, because the bioavailability of these drugs depends on their absorption, distribution, biotransformation, and elimination. Single nucleotide polymorphisms (SNPs) in genes encoding biotransformation enzymes (CYP3A) and drug transporters (ABCB1) have opened up a promising way for the selection of individual dosages. The relationship of these SNPs with immunosuppressive drug pharmacokinetics was extensively studied after kidney, liver, heart, and lung transplantations. Patient susceptibility to nephrotoxicity in the long term was also reported in relation to some SNPs, which could allow effective assessment of individual risk and selection of treatment according to patient parameters. Further studies are needed to provide evidence that a genetic analysis combined with therapeutic drug monitoring has the potential to optimize drug use after transplantation.
器官移植后常用的预防急性排斥反应的免疫抑制药物,包括他克莫司、环孢素、西罗莫司和霉酚酸,其特点是治疗指数窄,药代动力学存在广泛的个体间差异。充分的免疫抑制旨在达到最佳的效益风险比。治疗药物监测是临床常规实践中的关键步骤,以将血药浓度维持在目标范围内,因为这些药物的生物利用度取决于其吸收、分布、生物转化和消除。编码生物转化酶(CYP3A)和药物转运蛋白(ABCB1)的基因中的单核苷酸多态性(SNP)为个体剂量的选择开辟了一条有前景的途径。在肾、肝、心和肺移植后,对这些SNP与免疫抑制药物药代动力学的关系进行了广泛研究。还报告了一些SNP与患者长期肾毒性易感性的关系,这有助于根据患者参数有效评估个体风险并选择治疗方案。需要进一步研究以提供证据,证明基因分析与治疗药物监测相结合有潜力优化移植后的药物使用。