Office of Clinical Pharmacology, Office of Translational Science, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, 20993, USA.
Biopharm Drug Dispos. 2014 Jan;35(1):1-14. doi: 10.1002/bdd.1871. Epub 2013 Nov 20.
Advances in systems biology in conjunction with the expansion in knowledge of drug effects and diseases present an unprecedented opportunity to extend traditional pharmacokinetic and pharmacodynamic modeling/analysis to conduct systems pharmacology modeling. Many drugs that cause liver injury and myopathies have been studied extensively. Mitochondrion-centric systems pharmacology modeling is important since drug toxicity across a large number of pharmacological classes converges to mitochondrial injury and death. Approaches to systems pharmacology modeling of drug effects need to consider drug exposure, organelle and cellular phenotypes across all key cell types of human organs, organ-specific clinical biomarkers/phenotypes, gene-drug interaction and immune responses. Systems modeling approaches, that leverage the knowledge base constructed from curating a selected list of drugs across a wide range of pharmacological classes, will provide a critically needed blueprint for making informed decisions to reduce the rate of attrition for drugs in development and increase the number of drugs with an acceptable benefit/risk ratio.
系统生物学的进展,加上对药物作用和疾病知识的扩展,为将传统的药代动力学和药效学模型/分析扩展到系统药理学模型提供了前所未有的机会。许多导致肝损伤和肌病的药物已经被广泛研究。以线粒体为中心的系统药理学模型非常重要,因为大量药理类别的药物毒性都集中在线粒体损伤和死亡上。药物作用的系统药理学模型方法需要考虑药物暴露、所有关键人类器官细胞类型的细胞器和细胞表型、器官特异性临床生物标志物/表型、基因-药物相互作用和免疫反应。利用从广泛的药理类别中选择的一组药物构建知识库的系统建模方法,将为做出明智决策提供急需的蓝图,以降低开发中药物的淘汰率,并增加具有可接受的效益/风险比的药物数量。