不良结局途径
风险评估
指南
环境风险评价
代谢组学
鉴定(生物学)
环境影响评价
暴露评估
风险分析(工程)
计算机科学
工程类
医学
生物信息学
环境卫生
计算生物学
生物
生态学
病理
计算机安全
作者
A. Bernhard,Rikke Poulsen,Anna M. Hansen,Martin Hansen
出处
期刊:EFSA Journal
[Publications Office of the European Union]
日期:2023-11-01
卷期号:21
标识
DOI:10.2903/j.efsa.2023.e211005
摘要
Traditionally applied methodology in environmental risk assessment (ERA) has fallen out of step with technological advancements and regulatory requirements, challenging effectiveness and accuracy of the assessments. Extensive efforts have been focused towards a transition to a more data-driven and mechanistically-based next generation risk assessment. Metabolomics can produce detailed and comprehensive molecular insight into affected biochemical processes. Combining metabolomics with environmental toxicology can help to understand the mechanisms and/or modes of action underlying toxicity of environmental pollutants and inform adverse outcome pathways, as well as facilitate identification of biomarkers to quantify effects and/or exposure. This Technical Report describes the activities and work performed within the frame of the European Food Risk Assessment Fellowship Programme (EU-FORA), implemented at the section ‘Environmental Chemistry and Toxicology’ at the Department of Environmental Science at Aarhus University in Denmark with synergies to an ongoing H2020 RIA project ‘EndocRine Guideline Optimisation’ (ERGO). In accordance with the ‘training by doing’ principles of the EU-FORA, the fellowship project combined the exploration of the status of scientific discussion on methodology in ERA through literature study with hands-on training, using the metabolomics analysis pipeline established at Aarhus University. For the hands-on training, an amphibian metamorphosis assay (OECD test no.231) was used as a proof-of-concept toxicometabolomics study case. Both a targeted biomarker – and an untargeted metabolomics approach was applied.
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