Cumulative risk assessment ('/> A Case Study Application of the Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP) Frameworks to Facilitate the Integration of Human Health and Ecological End Points for Cumulative Risk Assessment (CRA)
首页> 外文期刊>Environmental Science & Technology >A Case Study Application of the Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP) Frameworks to Facilitate the Integration of Human Health and Ecological End Points for Cumulative Risk Assessment (CRA)
【24h】

A Case Study Application of the Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP) Frameworks to Facilitate the Integration of Human Health and Ecological End Points for Cumulative Risk Assessment (CRA)

机译:总体暴露途径(AEP)和不良结果途径(AOP)框架在促进人类健康和生态终点整合的累积风险评估(CRA)中的案例研究

获取原文
获取原文并翻译 | 示例
           

摘要

src="http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/esthag/2018/esthag.2018.52.issue-2/acs.est.7b04940/20180111/images/medium/es-2017-04940a_0004.gif">Cumulative risk assessment (CRA) methods promote the use of a conceptual site model (CSM) to apportion exposures and integrate risk from multiple stressors. While CSMs may encompass multiple species, evaluating end points across taxa can be challenging due to data availability and physiological differences among organisms. Adverse outcome pathways (AOPs) describe biological mechanisms leading to adverse outcomes (AOs) by assembling causal pathways with measurable intermediate steps termed key events (KEs), thereby providing a framework for integrating data across species. In this work, we used a case study focused on the perchlorate anion (ClO4–) to highlight the value of the AOP framework for cross-species data integration. Computational models and dose–response data were used to evaluate the effects of ClO4– in 12 species and revealed a dose–response concordance across KEs and taxa. The aggregate exposure pathway (AEP) tracks stressors from sources to the exposures and serves as a complement to the AOP. We discuss how the combined AEP-AOP construct helps to maximize the use of existing data and advances CRA by (1) organizing toxicity and exposure data, (2) providing a mechanistic framework of KEs for integrating data across human health and ecological end points, (3) facilitating cross-species dose–response evaluation, and (4) highlighting data gaps and technical limitations.
机译:src =“ http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/esthag/2018/esthag.2018.52.issue-2/acs.est.7b04940/20180111/images/medium /es-2017-04940a_0004.gif“>累积风险评估(CRA)方法促进使用概念性站点模型(CSM)来分配风险并整合来自多个压力源的风险。虽然CSM可能包含多个物种,但是由于数据的可用性和生物体之间的生理差异,评估整个分类单元的终点可能具有挑战性。不良结果途径(AOP)通过将因果途径与可测量的中间步骤(称为关键事件(KE))组合起来,从而描述了导致不良结果(AOs)的生物学机制,从而提供了跨物种整合数据的框架。在这项工作中,我们使用了一个针对高氯酸根阴离子(ClO 4 )的案例研究,以强调AOP框架对于跨物种数据集成的价值。计算模型和剂量反应数据被用来评估ClO 4 对12种物种的影响,并揭示了KEs和类群之间的剂量反应一致性。总暴露途径(AEP)跟踪从源头到暴露的压力源,并作为AOP的补充。我们将讨论组合的AEP-AOP构造如何通过(1)组织毒性和暴露数据,(2)提供KE的机制框架以整合跨人类健康和生态终点的数据来最大程度地利用现有数据并提高CRA, (3)促进跨物种的剂量反应评估,以及(4)强调数据差距和技术局限性。

著录项

  • 来源
    《Environmental Science & Technology》 |2018年第2期|839-849|共11页
  • 作者单位

    U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Research Triangle Park, North Carolina 27709, United States;

    U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Research Triangle Park, North Carolina 27709, United States;

    U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Research Triangle Park, North Carolina 27709, United States;

    U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, Research Triangle Park, North Carolina 27709, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号