Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India.
Drug Metab Rev. 2021 Aug;53(3):459-477. doi: 10.1080/03602532.2021.1970178. Epub 2021 Sep 11.
Knowledge of the metabolic stability of a new drug substance eliminated by biotransformation is essential for envisaging the pharmacokinetic parameters required for deciding drug dosing and frequency. Strategies aimed at modifying lead compounds may improve metabolic stability, thereby reducing the drug dosing frequency. Replacement of selective hydrogens with deuterium can effectively enhance the drug's metabolic stability by increasing the biological half-life. Further, cyclization, change in ring size, and chirality can substantially improve the metabolic stability of drugs. The microsomal approach for measuring drug intrinsic clearance by automated LC-MS/MS offers sensitive high-throughput screens with reliable data. The obtained intrinsic clearance from metabolic stability data helps predict the drug's total clearance using different scaling factors and hepatic clearance models. This review summarizes all the recent approaches and technological advancements in metabolic stability studies for narrowing down the potential lead compounds in drug discovery. Further, we summarized the potential pitfalls and assumptions made during the intrinsic clearance estimation from intrinsic clearance.
药物代谢稳定性知识对于设想决定药物剂量和频率所需的药代动力学参数至关重要。旨在改变先导化合物的策略可以提高代谢稳定性,从而降低药物剂量频率。用氘取代选择性氢可以通过增加生物半衰期有效地提高药物的代谢稳定性。此外,环化、环大小改变和手性可以显著提高药物的代谢稳定性。通过自动化 LC-MS/MS 进行的微粒体方法测量药物内在清除率提供了具有可靠数据的灵敏高通量筛选。从代谢稳定性数据获得的内在清除率有助于使用不同的缩放因子和肝清除模型预测药物的总清除率。本综述总结了代谢稳定性研究中所有最新的方法和技术进步,以缩小药物发现中潜在的先导化合物。此外,我们总结了从内在清除率估算内在清除率时可能出现的陷阱和假设。