食品化学污染物中潜在内分泌干扰化学物质的优先清单:对接研究和体外/流行病学证据整合。

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY
J Ren, T Jin, R Li, Y Y Zhong, Y X Xuan, Y L Wang, W Yao, S L Yu, J T Yuan
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引用次数: 0

摘要

饮食是内分泌干扰物(EDCs)的重要暴露途径,但许多未经过滤的潜在EDCs仍存在于食物中。EDCs的计算机预测是一种流行的初步筛查方法。使用反向对接的开源平台Endocrine Disruptome筛选食品中潜在的EDC,以预测587种食品化学污染物与18种人类核激素受体(NHR)构象的结合概率。总共有25种污染物与多种NHR结合,如雌激素受体α/β和雄激素受体。这25种化合物主要包括杀虫剂和全氟烷基和多氟烷基物质。预测结果与体外数据进行了验证。四种NHR的结构特征和关键氨基酸残基也在先前文献的基础上得到了验证。研究结果表明,该筛选具有良好的预测效果。此外,通过此次筛查,进一步验证了食品中全氟辛烷磺酸对儿童内分泌干扰的流行证据。本研究提供了食品中EDC的初步筛选结果,并为体外和体内研究提供了优先事项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Priority list of potential endocrine-disrupting chemicals in food chemical contaminants: a docking study and in vitro/epidemiological evidence integration.

Diet is an important exposure route of endocrine-disrupting chemicals (EDCs), but many unfiltered potential EDCs remain in food. The in silico prediction of EDCs is a popular method for preliminary screening. Potential EDCs in food were screened using Endocrine Disruptome, an open-source platform for inverse docking, to predict the binding probabilities of 587 food chemical contaminants with 18 human nuclear hormone receptor (NHR) conformations. In total, 25 contaminants were bound to multiple NHRs such as oestrogen receptor α/β and androgen receptor. These 25 compounds mainly include pesticides and per- and polyfluoroalkyl substances (PFASs). The prediction results were validated with the in vitro data. The structural features and the crucial amino acid residues of the four NHRs were also validated based on previous literature. The findings indicate that the screening has good prediction efficiency. In addition, the epidemic evidence about endocrine interference of PFASs in food on children was further validated through this screening. This study provides preliminary screening results for EDCs in food and a priority list for in vitro and in vivo research.

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来源期刊
CiteScore
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
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