US Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, Duluth, Minnesota, USA.
University of Minnesota-Duluth, Integrated Biological Sciences Program, Duluth, Minnesota, USA.
Environ Toxicol Chem. 2024 Mar;43(3):537-548. doi: 10.1002/etc.5416. Epub 2022 Aug 24.
There are insufficient toxicity data to assess the ecological risks of many pharmaceuticals and personal care products (PPCPs). While data limitations are not uncommon for contaminants of environmental concern, PPCPs are somewhat unique in that an a priori understanding of their biological activities in conjunction with measurements of molecular, biochemical, or histological responses could provide a foundation for understanding mode(s) of action and predicting potential adverse apical effects. Over the past decade significant progress has been made in the development of new approach methodologies (NAMs) to efficiently quantify these types of endpoints using computational models and pathway-based in vitro and in vivo assays. The availability of open-access knowledgebases to curate biological response (including NAM) data and sophisticated bioinformatics tools to help interpret the information also has significantly increased. Finally, advances in the development and implementation of the adverse outcome pathway framework provide the critical conceptual underpinnings needed to translate NAM data into predictions of the ecologically relevant outcomes required by risk assessors and managers. The evolution and convergence of these various data streams, tools, and concepts provides the basis for a fundamental change in how ecological risks of PPCPs can be pragmatically assessed. Environ Toxicol Chem 2024;43:537-548. © 2022 SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
目前,评估众多药品和个人护理产品(PPCPs)的生态风险的毒理学数据还不够充分。虽然对于环境污染物来说,数据限制并不罕见,但 PPCPs 有些独特,因为结合分子、生化或组织学反应的测量,对其生物活性的先验理解可以为了解作用模式和预测潜在的不利顶端效应提供基础。在过去十年中,人们在开发新方法方法(NAMs)方面取得了重大进展,可以使用计算模型和基于途径的体外和体内测定来有效地量化这些类型的终点。此外,还可以使用开放获取的知识库来管理生物反应(包括 NAM)数据,以及使用复杂的生物信息学工具来帮助解释信息,这也极大地提高了效率。最后,开发和实施不良结局途径框架的进展为将 NAM 数据转化为风险评估人员和管理者所需的具有生态相关性的预测结果提供了关键的概念基础。这些不同数据流、工具和概念的发展和融合为如何更实际地评估 PPCPs 的生态风险提供了基础,使其发生了根本变化。Environ Toxicol Chem 2024;43:537-548. © 2022 SETAC. 本文由美国政府雇员做出贡献,其工作在美国属于公有领域。