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无论生物药剂学药物处置分类系统类别如何,体外 P-糖蛋白外排比值均可预测体内脑穿透。

In vitro P-glycoprotein efflux ratio can predict the in vivo brain penetration regardless of biopharmaceutics drug disposition classification system class.

机构信息

Drug Metabolism, Pharmacokinetics, and Bioanalysis, AbbVie Inc., North Chicago, Illinois.

出版信息

Drug Metab Dispos. 2013 Dec;41(12):2012-7. doi: 10.1124/dmd.113.053868. Epub 2013 Sep 5.

Abstract

P-glycoprotein (P-gp) is expressed at the blood-brain barrier (BBB) and restricts the penetration of its substrates into the central nervous system (CNS). In vitro substrate assessment for P-gp is frequently used to predict the in vivo relevance of P-gp-mediated efflux at the BBB. We have conducted a comprehensive review of literature focusing on the in vitro-in vivo correlation of P-gp efflux ratio (ER), and demonstrated that in vitro substrates of P-gp are also in vivo substrates at the BBB. It was of note that the in vitro ER in the MDCK-MDR1 cell line from National Institutes of Health was found to be a better predictor of in vivo ER than that from Netherlands Cancer Institute, with r(2) values of 0.813 and 0.531, respectively. Recently, a research group proposed that 98% of Biopharmaceutics Drug Disposition Classification System (BDDCS) class 1 drugs can penetrate the brain even when those compounds are shown as P-gp substrates in vitro. However, our data analysis suggested that in vitro ER can predict the in vivo brain penetration regardless of the class in BDDCS. Considering that very few marketed CNS drugs are in vivo substrates for P-gp, the in vitro substrate assessment of P-gp should be used in the early stages of drug discovery to select compounds that are most likely to penetrate the CNS to exert their pharmacologic action.

摘要

P-糖蛋白(P-gp)在血脑屏障(BBB)上表达,限制其底物进入中枢神经系统(CNS)。体外 P-gp 底物评估常用于预测 BBB 处 P-gp 介导的外排的体内相关性。我们对专注于 P-gp 外排率(ER)的体外-体内相关性的文献进行了全面综述,并证明 P-gp 的体外底物也是 BBB 的体内底物。值得注意的是,美国国立卫生研究院 MDCK-MDR1 细胞系中的体外 ER 比荷兰癌症研究所的体外 ER 更好地预测体内 ER,r(2) 值分别为 0.813 和 0.531。最近,一个研究小组提出,即使在体外这些化合物是 P-gp 的底物,98%的生物药剂学药物处置分类系统(BDDCS)1 类药物也可以穿透大脑。然而,我们的数据分析表明,无论 BDDCS 中的类别如何,体外 ER 都可以预测体内大脑穿透。考虑到很少有上市的 CNS 药物是 P-gp 的体内底物,因此在药物发现的早期阶段,应使用 P-gp 的体外底物评估来选择最有可能穿透 CNS 发挥药效的化合物。

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