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Quantitative assessment of reactive metabolite formation using 35S-labeled glutathione.

机译:使用35S标记的谷胱甘肽定量评估反应性代谢产物的形成。

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The metabolic bioactivation of a drug to a reactive metabolite (RM) and its covalent binding to cellular macromolecules is believed to be involved in clinical adverse events, including idiosyncratic drug toxicities. Therefore, it is important to assess the potential of drug candidates to generate RMs and form drug-protein covalent adducts during lead optimization processes. In this study, the RM formation of some marketed drugs were quantitatively assessed by means of a sensitive and robust detection method that we have established using (35)S-glutathione ((35)S-GSH) as a trapping agent. Problematic drugs well-known to generate RMs exhibited a relatively high rate of (35)S-GS-adducts to RM (RM-GS) formation, which contrasted with safe drugs. For practical use in lead optimization processes, a series of new chemical entities were tested and hints on the structural modifications needed in order to minimize their RM formation were provided. Furthermore, the RM-GS formation rates of a number of compounds were compared using their in vitro covalent binding yields to liver proteins determined with (14)C-labeled compounds, demonstrating that the RM-GS formation rate could be a substitute for the covalent binding yield within the same series of compounds.
机译:药物代谢为反应性代谢物(RM)的代谢生物活化及其与细胞大分子的共价结合被认为与临床不良事件有关,包括特异药物毒性。因此,重要的是评估在前导优化过程中候选药物产生RM并形成药物-蛋白质共价加合物的潜力。在这项研究中,我们使用(35)S-谷胱甘肽((35)S-GSH)作为捕获剂,建立了灵敏而稳健的检测方法,定量评估了一些市售药物的RM形成。与安全药物相比,众所周知的产生RM的有问题的药物表现出相对较高的(35)S-GS加合物形成RM(RM-GS)的速率。为了在铅优化过程中的实际应用,对一系列新的化学实体进行了测试,并提供了有关结构修饰的提示,以最大程度地减少其RM形成。此外,使用它们与(14)C标记化合物测定的肝蛋白的体外共价结合率,比较了多种化合物的RM-GS形成速率,表明RM-GS形成速率可以替代共价键同一系列化合物中的结合产率。

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