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肠道通透性对商业和环境中化学品口服生物利用度评估的影响。

Impact of gut permeability on estimation of oral bioavailability for chemicals in commerce and the environment.

作者信息

Honda Gregory S, Kenyon Elaina M, Davidson-Fritz Sarah, Dinallo Roger, El Masri Hisham, Korol-Bexell Evgenia, Li Li, Angus Derek, Pearce Robert G, Sayre Risa R, Strock Christopher, Thomas Russell S, Wetmore Barbara A, Wambaugh John F

机构信息

U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA.

Cyprotex, Watertown, MA, USA.

出版信息

ALTEX. 2025;42(1):56-74. doi: 10.14573/altex.2403271. Epub 2024 Oct 19.

Abstract

Performance of pharmacokinetic models developed using in-vitro-to-in-vivo extrapolation (IVIVE) methods may be improved by refining assumptions regarding fraction absorbed (Fabs) through the intestine, a component of oral bioavailability (Fbio). Although in vivo measures of Fabs are often unavailable for non-pharmaceuticals, in vitro measures of apparent permeability (Papp) using the Caco-2 cell line have been highly correlated with Fabs. We measured bidirectional Papp for over 400 non-pharmaceutical chemicals using the Caco-2 assay. A random forest quantitative structure-property relationship (QSPR) model was developed using these and peer-reviewed pharmaceutical data. Both Caco-2 data (R2 = 0.37) and the QSPR model (R2 = 0.29) were better at predicting human bioavailability compared to in vivo rat data (R2 = 0.23). After incorporation into a high-throughput toxicokinetics (HTTK) framework for IVIVE, the Caco-2 data were used to estimate in vivo administered equivalent dose (AED) for bioactivity assessed in vitro. The HTTK-predicted plasma steady state concentrations (Css) for IVIVE were revised, with modest changes predicted for poorly absorbed chemicals. Experimental data were evaluated for sources of measurement uncertainty, which were then accounted for using the Monte Carlo method. Revised AEDs were subsequently compared with exposure estimates to evaluate effects on bioactivity:exposure ratios, a surrogate for risk. Only minor changes in the margin between chemical exposure and predicted bioactive doses were observed due to the preponderance of highly absorbed chemicals.

摘要

通过完善关于经肠道吸收分数(Fabs)的假设,可提高使用体外到体内外推法(IVIVE)开发的药代动力学模型的性能,Fabs是口服生物利用度(Fbio)的一个组成部分。尽管非药物的Fabs体内测量值通常不可得,但使用Caco-2细胞系的体外表观渗透率(Papp)测量值与Fabs高度相关。我们使用Caco-2试验测量了400多种非药物化学品的双向Papp。利用这些数据和同行评审的药物数据开发了一个随机森林定量构效关系(QSPR)模型。与体内大鼠数据(R2 = 0.23)相比,Caco-2数据(R2 = 0.37)和QSPR模型(R2 = 0.29)在预测人体生物利用度方面表现更好。纳入用于IVIVE的高通量毒物动力学(HTTK)框架后,Caco-2数据用于估计体外评估生物活性的体内给药等效剂量(AED)。对IVIVE的HTTK预测血浆稳态浓度(Css)进行了修订,对吸收不良的化学品预测有适度变化。对实验数据的测量不确定度来源进行了评估,然后使用蒙特卡罗方法进行处理。随后将修订后的AED与暴露估计值进行比较,以评估对生物活性:暴露比(一种风险替代指标)的影响。由于高吸收化学品占主导,化学品暴露与预测生物活性剂量之间的 margin 仅有微小变化。

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