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利用高通量筛选数据、综合毒理学优先排序指数得分和化学品优先排序的暴露-活性比:以食品作物中具有内分泌活性的农药为例。

Utilizing High-Throughput Screening Data, Integrative Toxicological Prioritization Index Score, and Exposure-Activity Ratios for Chemical Prioritization: A Case Study of Endocrine-Active Pesticides in Food Crops.

机构信息

Institute of Food Safety and Health, College of Public Health, National Taiwan University, 17 Xuzhou Road, Zhongzheng District, Taipei 100, Taiwan.

Master of Public Health Program, National Taiwan University, 17 Xuzhou Road, Zhongzheng District, Taipei 100055, Taiwan.

出版信息

J Agric Food Chem. 2021 Sep 29;69(38):11427-11439. doi: 10.1021/acs.jafc.1c03191. Epub 2021 Sep 15.

DOI:10.1021/acs.jafc.1c03191
PMID:34524809
Abstract

Endocrine-active chemicals can directly act on nuclear receptors and trigger the disturbances of metabolism and a homeostatic system, which are important risk factors for complicating chronic diseases in humans. The endocrine-active potentials of pesticides acting on estrogen, androgen, and thyroid hormone receptors have been extensively evaluated for pesticides; however, the effects on other receptors are less understood. This study aims to comprehensively characterize and prioritize the endocrine-active pesticides using an exposure-activity ratio (EAR) method and toxicological prioritization index (ToxPi). The aggregate exposure assessment of pesticides was performed using a computational exposure model [stochastic human exposure and dose simulation high-throughput model (SHEDS-HT)]. Minimum point of departure values were converted to human oral equivalent doses via -to- extrapolation. The overall endocrine-disrupting potentials of pesticides were evaluated via 76 assays, representing 11 nuclear receptors. EARs and ToxPi scores were then derived to prioritize 79 pesticides in food. This case study demonstrates that EAR profiling can inform the regulatory agencies for a relevant chemical prioritization, which would direct in-depth health risk assessments in the future.

摘要

内分泌活性化学品可以直接作用于核受体,引发代谢和体内平衡系统的紊乱,这些都是导致人类慢性病复杂化的重要危险因素。人们已经广泛评估了作用于雌激素、雄激素和甲状腺激素受体的农药的内分泌活性潜力;然而,对于其他受体的影响了解较少。本研究旨在使用暴露-活性比 (EAR) 方法和毒理学优先级指数 (ToxPi) 全面表征和优先考虑内分泌活性农药。使用计算暴露模型 [随机人体暴露和剂量模拟高通量模型 (SHEDS-HT)] 进行农药的综合暴露评估。通过 -to-外推将最低离差点值转换为人体口服等效剂量。通过 76 项代表 11 个核受体的检测来评估农药的整体内分泌干扰潜力。然后得出 EAR 和 ToxPi 评分,以优先考虑食品中的 79 种农药。该案例研究表明,EAR 分析可以为监管机构提供相关的化学品优先级排序信息,这将指导未来进行深入的健康风险评估。

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引用本文的文献

1
Editorial: Endocrine-active substances in food: identification, evaluation, and control.社论:食品中的内分泌活性物质:识别、评估与控制
Front Nutr. 2023 Aug 11;10:1252122. doi: 10.3389/fnut.2023.1252122. eCollection 2023.