Drug Metabolism and Pharmacokinetics Tsukuba, Eisai Co.,Ltd., 5-1-3 Tokodai, Tsukuba, Ibaraki, 300-2635, Japan.
Drug Metabolism and Pharmacokinetics Tsukuba, Eisai Co.,Ltd., 5-1-3 Tokodai, Tsukuba, Ibaraki, 300-2635, Japan.
Drug Metab Pharmacokinet. 2020 Feb;35(1):56-70. doi: 10.1016/j.dmpk.2019.11.004. Epub 2019 Dec 20.
Hepatic uptake mediated by organic anion transporting polypeptide (OATP) 1B1 and 1B3 can serve as a major elimination pathway for various anionic drugs and as a site of drug-drug interactions (DDIs). This article provides an overview of the in vitro approaches used to predict human hepatic clearance (CL) and the risk of DDIs involving OATP1Bs. On the basis of the so-called extended clearance concept, in vitro-in vivo extrapolation methods using human hepatocytes as in vitro systems have been used to predict the CL involving OATP1B-mediated hepatic uptake. CL can be quantitatively predicted using human donor lots possessing adequate OATP1B activities. The contribution of OATP1Bs to hepatic uptake can be estimated by the relative activity factor, the relative expression factor, or selective inhibitor approaches, which offer generally consistent outcomes. In OATP1B1 inhibition assays, substantial substrate dependency was observed. The time-dependent inhibition of OATP1B1 was also noted and may be a mechanism underlying the in vitro-in vivo differences in the inhibition constant of cyclosporine A. Although it is still challenging to quantitatively predict CL and DDIs involving OATP1Bs from only preclinical data, understanding the utility and limitation of the current in vitro methods will pave the way for better prediction.
有机阴离子转运多肽 1B1 和 1B3 介导的肝脏摄取可作为多种阴离子药物的主要消除途径,也是药物相互作用(DDI)的部位。本文概述了用于预测涉及 OATP1Bs 的人体肝脏清除率(CL)和 DDI 风险的体外方法。基于所谓的扩展清除概念,使用人肝细胞作为体外系统的体外-体内外推方法已被用于预测涉及 OATP1B 介导的肝脏摄取的 CL。可以使用具有足够 OATP1B 活性的人供体批次定量预测 CL。可以通过相对活性因子、相对表达因子或选择性抑制剂方法来估计 OATP1Bs 对肝脏摄取的贡献,这些方法通常提供一致的结果。在 OATP1B1 抑制测定中,观察到显著的底物依赖性。还注意到 OATP1B1 的时间依赖性抑制,这可能是环孢素 A 抑制常数在体外-体内差异的机制。尽管仅从临床前数据定量预测涉及 OATP1Bs 的 CL 和 DDI 仍然具有挑战性,但了解当前体外方法的实用性和局限性将为更好的预测铺平道路。