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测定和预测多种工业化学品/药物跨肠上皮细胞单层的通透性,以评估口服吸收情况,作为肝毒性的一种推定标志物。

Determination and prediction of permeability across intestinal epithelial cell monolayer of a diverse range of industrial chemicals/drugs for estimation of oral absorption as a putative marker of hepatotoxicity.

作者信息

Kamiya Yusuke, Takaku Hiroka, Yamada Rio, Akase Chisato, Abe Yuto, Sekiguchi Yuko, Murayama Norie, Shimizu Makiko, Kitajima Masato, Shono Fumiaki, Funatsu Kimito, Yamazaki Hiroshi

机构信息

Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, 3-3165 Higashi-tamagawa Gakuen, Machida, Tokyo, 194-8543, Japan.

Fujitsu Kyusyu Systems, Hakata-ku, Fukuoka, 812-0007, Japan.

出版信息

Toxicol Rep. 2020 Jan 14;7:149-154. doi: 10.1016/j.toxrep.2020.01.004. eCollection 2020.

Abstract

Apparent permeability coefficients ( ) across a human intestinal epithelial Caco-2 cell monolayer were measured for a range of industrial/drug chemicals. A predictive equation for determining values of fifty-six substances was set up using multivariate regression analysis based on -estimated physicochemical properties (molecular weights and water distribution coefficients for apical and basal pH environments) ( = 0.77,  <  0.01). Predicted log values of a secondary set of 34 compounds were correlated with the measured values. Under the medicinal log values associated with their reported fraction absorbed, a significant inverse non-linear correlation was found between the logarithmic transformed values of observed values and reported hepatic no-observed-effect levels of industrial chemicals ( = -0.55,  <  0.01, n = 29). determination and/or prediction of permeability across intestinal cells could be effective for estimating oral absorption as a putative indicator for hepatotoxicity.

摘要

测定了一系列工业/药物化学品在人肠上皮Caco-2细胞单层上的表观渗透系数( )。基于估算的物理化学性质(分子质量以及顶端和基底pH环境下的水分配系数),使用多元回归分析建立了一个用于确定56种物质 值的预测方程( = 0.77, < 0.01)。对另外34种化合物的预测log 值与测量值进行了相关性分析。在与其报告的吸收分数相关的药用log 值下,观察到的 值的对数转换值与工业化学品报告的肝脏无观察到效应水平之间存在显著的非线性负相关( = -0.55, < 0.01,n = 29)。测定和/或预测跨肠细胞的渗透性对于估计口服吸收作为肝毒性的假定指标可能是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/554a/6976901/cd85a92e328a/ga1.jpg

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