Tang Wei
Merck Research Laboratories, Department of Drug Metabolism, Rahway, NJ 07065-0900, USA.
Expert Opin Drug Metab Toxicol. 2007 Jun;3(3):407-20. doi: 10.1517/17425255.3.3.407.
Drug metabolism studies, together with pathologic and histologic evaluation, provide critical data sets to help understand mechanisms underlying drug-related hepatotoxicity. A common practice is to trace morphologic changes resulting from liver injury back to perturbation of biochemical processes and to identify drug metabolites that affect those processes as possible culprits. This strategy can be illustrated in efforts of elucidating the cause of acetaminophen-, troglitazone- and valproic acid-induced hepatic necrosis, microvesicular steatosis and cholestasis with the aid of information from qualitative and quantitative analysis of metabolites. From a pharmaceutical research perspective, metabolite profiling represents an important function because a structure-activity relationship is essential to rational drug design. In addition, drugs are known to induce idiosyncratic hepatotoxicity, which usually escapes the detection by preclinical safety assessment and clinical trials. This issue is addressed, at present, by eliminating those molecules that are prone to metabolic bioactivation, based on the concept that formation of electrophilic metabolites triggers covalent protein modification and subsequent organ toxicity. Although pragmatic, such an approach has its limitations as a linear correlation does not exist between toxicity and the extent of bioactivation. It may be possible in the future that the advance of proteomics, metabonomics and genomics would pave the way leading to personalized medication in which beneficial effect of a drug is maximized, whereas toxicity risk is minimized.
药物代谢研究,连同病理学和组织学评估,提供关键数据集,以帮助理解药物相关肝毒性的潜在机制。一种常见的做法是将肝损伤导致的形态学变化追溯到生化过程的扰动,并将影响这些过程的药物代谢物识别为可能的罪魁祸首。在借助代谢物定性和定量分析信息阐明对乙酰氨基酚、曲格列酮和丙戊酸诱导的肝坏死、微泡性脂肪变性和胆汁淤积的原因的努力中,可以说明这种策略。从药物研究的角度来看,代谢物谱分析是一项重要功能,因为构效关系对合理药物设计至关重要。此外,已知药物会诱发特异质性肝毒性,这通常在临床前安全性评估和临床试验中难以检测到。目前,基于亲电代谢物的形成会引发共价蛋白质修饰及随后的器官毒性这一概念,通过剔除那些易于代谢生物活化的分子来解决这个问题。尽管这种方法很实用,但由于毒性与生物活化程度之间不存在线性相关性,所以它有其局限性。未来,蛋白质组学、代谢组学和基因组学的进展可能会为个性化用药铺平道路,在个性化用药中,药物的有益效果最大化,而毒性风险最小化。