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克服延长清除概念的局限性:开发基于生理的药代动力学 (PBPK) 模型以选择涉及转运体介导清除的药物候选物的框架。

Overcoming the shortcomings of the extended-clearance concept: a framework for developing a physiologically-based pharmacokinetic (PBPK) model to select drug candidates involving transporter-mediated clearance.

机构信息

Drug Metabolism, Gilead Sciences Inc., Foster City, CA, USA.

出版信息

Expert Opin Drug Metab Toxicol. 2021 Aug;17(8):869-886. doi: 10.1080/17425255.2021.1912012. Epub 2021 Jun 15.

Abstract

Human pharmacokinetic (PK) prediction can be a significant challenge to drug candidates undergoing transporter-mediated clearance, when only animal data and in vitro human parameters are available in the drug discovery stage.The extended clearance concept (ECC) that incorporates the processes of hepatic uptake, passive diffusion, metabolism and biliary secretion has been adapted to determine the rate-determining process of hepatic clearance and drug-drug interactions (DDIs). However, since the ECC is derived from the well-stirred model and does not consider the liver as a drug distribution organ to reflect the time-dependent variation of drug concentrations between the liver and plasma, it can be misused for compound selection in drug discovery.The PBPK model consists of a set of differential equations of drug mass balance, and can overcome the shortcomings of the ECC in predicting human PK. The predictability, relevance and reliability of the model and the scaling factors for IVIVE must be validated using either the measured liver concentrations or DDI data with known transporter inhibitors, or both, in monkeys. A human PBPK model that incorporates in vitro human data and SFs obtained from the validated monkey PBPK model can be used for compound selection in the drug discovery phase.

摘要

当药物发现阶段仅有动物数据和体外人体参数可用时,对于经转运体介导清除的候选药物,人体药代动力学(PK)预测可能是一个重大挑战。扩展清除概念(ECC),它将肝摄取、被动扩散、代谢和胆汁分泌等过程纳入其中,用于确定肝清除率和药物相互作用(DDI)的限速过程。然而,由于 ECC 源自完全搅拌模型,并未将肝脏视为药物分布器官,无法反映肝和血浆之间药物浓度的时变,因此可能会在药物发现过程中被错误用于化合物选择。基于生理的药代动力学(PBPK)模型由一组药物质量平衡的微分方程组成,能够克服 ECC 在预测人体 PK 方面的缺点。必须使用猴子中经测量的肝浓度或具有已知转运体抑制剂的 DDI 数据,或者两者兼用来验证模型的可预测性、相关性和可靠性,以及 IVIVE 的缩放因子。纳入体外人体数据和从经验证的猴子 PBPK 模型获得的 SF 的人体 PBPK 模型可用于药物发现阶段的化合物选择。

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