基于生理的毒代/毒效动力学定量体外-体内外推技术  

New approach methodologies for toxicity testing:physiological based toxicokinetics/toxicodynamics in vitro to in vivo extrapolation

作　　者：刘盛男[1] 张强 皮静波[1] LIU Shengnan;ZHANG Qiang;PI Jingbo(Key Laboratory of Environmental Stress and Chronic Disease Control&Prevention,School of Public Health,China Medical University,Shenyang 110122,China;Rollins School of Public Health,Emory University,Atlanta,GA 30322,USA)

机构地区：[1]中国医科大学公共卫生学院,环境应激与慢病防控教育部重点实验室,辽宁沈阳110122 [2]Rollins School of Public Health,Emory University,Atlanta,GA 30322,USA

出　　处：《中国药理学与毒理学杂志》2024年第10期766-772,共7页Chinese Journal of Pharmacology and Toxicology

基　　金：国家自然科学基金(82020108027);国家自然科学基金(81830099);国家自然科学基金(81602824);辽宁省科技厅揭榜挂帅科技项目(2023JH1/10400031)。

摘　　要：基于新途径方法(NAMs)的下一代风险评估策略和技术体系在全球范围内悄然兴起。作为NAMs的重要组成部分,定量体外-体内外推(QIVIVE)已逐渐成为化学物质毒性测试与风险评估的重要技术之一。QIVIVE的实施依赖于计算毒理学的两大模型:基于生理的毒代动力学和基于生理的毒效动力学。本文重点介绍上述两大模型的基本原理、构建流程和应用等,旨在为化学物质的健康风险评估提供高效、准确的毒性测试路径。New approach methodologies(NAMs) based next generation risk assessment for toxicity testing has quietly emerged globally.As an important component of NAMs,quantitative in vitro to in vivo extrapolation(QIVIVE) has come to be one of the significant technologies for chemical toxicity testing and risk assessment,and has gained rapid development and wide applications in the field of toxicology.The implementation of QIVIVE technology relies on two vital branches of computational toxicology:physiologically based toxicokinetics and physiologically based toxicodynamics.The system integrates population research,in vivo/in vitro testing,and computational toxicology research to quantitatively study the nonlinear quantitative relationship between exposure doses and physiological response,providing an efficient and accurate means of toxicity testing for health risk assessment of chemicals.At the same time,utilizing increasingly mature multi omics technologies to obtain high-throughput and effective toxicology information,and drawing a signal network of toxicity occurrence and development in the context of big data can greatly improve the efficiency and range of toxicology research.

关 键 词：新途径方法 下一代风险评估 定量体外-体内外推 基于生理的毒代动力学 基于生理的毒效动力学 

分 类 号：R99[医药卫生—毒理学]