优先次序
不良结局途径
生物测定
环境监测
环境科学
生化工程
生物
计算生物学
生态学
工程类
环境工程
管理科学
作者
Brett R. Blackwell,Gerald T. Ankley,Steven R. Corsi,Laura DeCicco,Keith A. Houck,Richard Judson,Shibin Li,Matthew T. Martin,Elizabeth W. Murphy,Anthony Schroeder,Edwin Smith,Joe Swintek,Daniel L. Villeneuve
标识
DOI:10.1021/acs.est.7b01613
摘要
Current environmental monitoring approaches focus primarily on chemical occurrence. However, based on concentration alone, it can be difficult to identify which compounds may be of toxicological concern and should be prioritized for further monitoring, in-depth testing, or management. This can be problematic because toxicological characterization is lacking for many emerging contaminants. New sources of high-throughput screening (HTS) data, such as the ToxCast database, which contains information for over 9000 compounds screened through up to 1100 bioassays, are now available. Integrated analysis of chemical occurrence data with HTS data offers new opportunities to prioritize chemicals, sites, or biological effects for further investigation based on concentrations detected in the environment linked to relative potencies in pathway-based bioassays. As a case study, chemical occurrence data from a 2012 study in the Great Lakes Basin along with the ToxCast effects database were used to calculate exposure-activity ratios (EARs) as a prioritization tool. Technical considerations of data processing and use of the ToxCast database are presented and discussed. EAR prioritization identified multiple sites, biological pathways, and chemicals that warrant further investigation. Prioritized bioactivities from the EAR analysis were linked to discrete adverse outcome pathways to identify potential adverse outcomes and biomarkers for use in subsequent monitoring efforts.
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