Brian William, Tremaine Larry M, Arefayene Million, de Kanter Ruben, Evers Raymond, Guo Yingying, Kalabus James, Lin Wen, Loi Cho-Ming, Xiao Guangqing
Sanofi, Translational Medicine and Early Development, 55 Corporate Drive, Bridgewater, NJ 08807, USA.
Pfizer Inc., Worldwide Research and Development, Department of Pharmacokinetics, Dynamics and Metabolism, Eastern Point Road, Groton, CT 06340, USA.
Pharmacogenomics. 2016 Apr;17(6):615-31. doi: 10.2217/pgs.16.9. Epub 2016 Apr 5.
Genetic variants of drug metabolism enzymes and transporters can result in high pharmacokinetic and pharmacodynamic variability, unwanted characteristics of efficacious and safe drugs. Ideally, the contributions of these enzymes and transporters to drug disposition can be predicted from in vitro experiments and in silico modeling in discovery or early development, and then be utilized during clinical development. Recently, regulatory agencies have provided guidance on the preclinical investigation of pharmacogenetics, for application to clinical drug development. This white paper summarizes the results of an industry survey conducted by the Industry Pharmacogenomics Working Group on current practice and challenges with using in vitro systems and in silico models to understand pharmacogenetic causes of variability in drug disposition.
药物代谢酶和转运蛋白的基因变异可导致药代动力学和药效学的高度变异性,这是有效且安全的药物所具有的不良特性。理想情况下,这些酶和转运蛋白对药物处置的贡献可以在发现阶段或早期开发过程中通过体外实验和计算机模拟预测出来,然后在临床开发中加以利用。最近,监管机构已就药物遗传学的临床前研究提供了指导意见,以便应用于临床药物开发。本白皮书总结了行业药物基因组学工作组进行的一项行业调查结果,内容涉及使用体外系统和计算机模拟模型来了解药物处置变异性的遗传原因的当前实践和挑战。