Adverse outcome pathways: A conceptual framework to support ecotoxicology research and risk assessment

不良结局途径 风险评估 结果(博弈论) 构造(python库) 计算机科学 风险分析(工程) 环境风险评价 概念框架 联动装置(软件) 生化工程 数据科学 生物 计算生物学 业务 工程类 基因 认识论 生物化学 哲学 数理经济学 计算机安全 程序设计语言 数学
作者
Gerald T. Ankley,Richard S. Bennett,Russell J. Erickson,Dale J. Hoff,Michael W. Hornung,Rodney D. Johnson,David R. Mount,John W. Nichols,Christine L. Russom,Patricia K. Schmieder,Jose A. Serrrano,Joseph E. Tietge,Daniel L. Villeneuve
出处
期刊:Environmental Toxicology and Chemistry [Wiley]
卷期号:29 (3): 730-741 被引量:2566
标识
DOI:10.1002/etc.34
摘要

Ecological risk assessors face increasing demands to assess more chemicals, with greater speed and accuracy, and to do so using fewer resources and experimental animals. New approaches in biological and computational sciences may be able to generate mechanistic information that could help in meeting these challenges. However, to use mechanistic data to support chemical assessments, there is a need for effective translation of this information into endpoints meaningful to ecological risk-effects on survival, development, and reproduction in individual organisms and, by extension, impacts on populations. Here we discuss a framework designed for this purpose, the adverse outcome pathway (AOP). An AOP is a conceptual construct that portrays existing knowledge concerning the linkage between a direct molecular initiating event and an adverse outcome at a biological level of organization relevant to risk assessment. The practical utility of AOPs for ecological risk assessment of chemicals is illustrated using five case examples. The examples demonstrate how the AOP concept can focus toxicity testing in terms of species and endpoint selection, enhance across-chemical extrapolation, and support prediction of mixture effects. The examples also show how AOPs facilitate use of molecular or biochemical endpoints (sometimes referred to as biomarkers) for forecasting chemical impacts on individuals and populations. In the concluding sections of the paper, we discuss how AOPs can help to guide research that supports chemical risk assessments and advocate for the incorporation of this approach into a broader systems biology framework.
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