欧盟农药监管风险评估中的代谢物

IF 3.6 Q2 TOXICOLOGY
O. Pelkonen, K. Abass, Juan Manuel Parra Morte, Martina Panzarea, Emanuela Testai, Serge Rudaz, J. Louisse, Ursula Gundert-Remy, Gerrit Wolterink, Dorne Jean-Lou CM, Sandra Coecke, C. Bernasconi
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引用次数: 0

摘要

大部分化学品都会通过异生物代谢酶转化为代谢物。与母体化合物相比,代谢物在毒代动力学和毒效学方面的特性从相似到大相径庭。在农药领域,新陈代谢和代谢物的作用越来越被认为是一个重要因素,特别是在哺乳动物毒理学研究的设计和解释方面,以及在出于危害特征描述和风险评估目的对农药/代谢物相关问题进行毒性评估方面,包括代谢物作为各种残留物在生态毒理学逆境中的作用。与体外或体内动物研究中发现的代谢物相比,这与人类特有的农药代谢物尤其相关,同时也与人类和哺乳动物物种之间不成比例的代谢物(数量差异)相关。独特或不成比例代谢物的存在可能会引发潜在的毒理学问题。本综述旨在介绍农药研究中用于危害和风险评估的比较代谢和代谢物的最新进展,包括 "同一健康 "视角,以及基于欧洲食品安全局所获经验的未来研究需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolites in the regulatory risk assessment of pesticides in the EU
A large majority of chemicals is converted into metabolites through xenobiotic-metabolising enzymes. Metabolites may present a spectrum of characteristics varying from similar to vastly different compared with the parent compound in terms of both toxicokinetics and toxicodynamics. In the pesticide arena, the role of metabolism and metabolites is increasingly recognised as a significant factor particularly for the design and interpretation of mammalian toxicological studies and in the toxicity assessment of pesticide/metabolite-associated issues for hazard characterization and risk assessment purposes, including the role of metabolites as parts in various residues in ecotoxicological adversities. This is of particular relevance to pesticide metabolites that are unique to humans in comparison with metabolites found in in vitro or in vivo animal studies, but also to disproportionate metabolites (quantitative differences) between humans and mammalian species. Presence of unique or disproportionate metabolites may underlie potential toxicological concerns. This review aims to present the current state-of-the-art of comparative metabolism and metabolites in pesticide research for hazard and risk assessment, including One Health perspectives, and future research needs based on the experiences gained at the European Food Safety Authority.
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来源期刊
CiteScore
3.80
自引率
0.00%
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审稿时长
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