Lambert Jason C
United States Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Cincinnati, OH 45268, USA.
Toxics. 2022 Dec 30;11(1):37. doi: 10.3390/toxics11010037.
For over a decade, New Approach Methodologies (NAMs) such as structure-activity/read-across, -omics technologies, and Adverse Outcome Pathway (AOP), have been considered within regulatory communities as alternative sources of chemical and biological information potentially relevant to human health risk assessment. Integration of NAMs into applications such as chemical mixtures risk assessment has been limited due to the lack of validation of qualitative and quantitative application to adverse health outcomes in vivo, and acceptance by risk assessors. However, leveraging existent hazard and dose-response information, including NAM-based data, for mixture component chemicals across one or more levels of biological organization using novel approaches such as AOP 'footprinting' proposed herein, may significantly advance mixtures risk assessment. AOP footprinting entails the systematic stepwise profiling and comparison of all known or suspected AOPs involved in a toxicological effect at the level of key event (KE). The goal is to identify key event(s) most proximal to an adverse outcome within each AOP suspected of contributing to a given health outcome at which similarity between mixture chemicals can be confidently determined. These key events are identified as the 'footprint' for a given AOP. This work presents the general concept, and a hypothetical example application, of AOP footprinting as a key methodology for the integration of NAM data into mixtures risk assessment.
十多年来,结构活性/类推法、组学技术和不良结局途径(AOP)等新方法学(NAMs)在监管机构中一直被视为可能与人类健康风险评估相关的化学和生物学信息的替代来源。由于缺乏对体内不良健康结局的定性和定量应用的验证以及风险评估人员的接受度,NAMs在化学混合物风险评估等应用中的整合受到限制。然而,利用现有的危害和剂量反应信息,包括基于NAM的数据,通过本文提出的AOP“足迹”等新方法,在一个或多个生物组织水平上对混合物成分化学品进行评估,可能会显著推进混合物风险评估。AOP足迹涉及在关键事件(KE)层面上对毒理学效应中涉及的所有已知或疑似AOP进行系统的逐步分析和比较。目标是在每个疑似导致特定健康结局的AOP中,确定最接近不良结局的关键事件,在这些关键事件上可以可靠地确定混合物化学品之间的相似性。这些关键事件被确定为给定AOP的“足迹”。本文介绍了AOP足迹作为将NAM数据整合到混合物风险评估中的关键方法的一般概念和一个假设的示例应用。