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探索 ToxCast 数据在支持食品化学安全性评估的结构相关性推断中的应用潜力。

Exploring the Potential of ToxCast Data in Supporting Read-Across for Evaluation of Food Chemical Safety.

机构信息

School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, United Kingdom.

Wageningen Food Safety Research, P.O. Box 230, 6700 AE Wageningen, The Netherlands.

出版信息

Chem Res Toxicol. 2021 Feb 15;34(2):300-312. doi: 10.1021/acs.chemrestox.0c00240. Epub 2020 Nov 30.

Abstract

The intention of this study was to determine the utility of high-throughput screening (HTS) data, as exemplified by ToxCast and Tox21, for application in toxicological read-across in food-relevant chemicals. Key questions were addressed on the extent to which the HTS data could provide information enabling (1) the elucidation of underlying bioactivities associated with apical toxicological outcomes, (2) the closing of existing toxicological data gaps, and (3) the definition of the boundaries of chemical space across which bioactivity could reliably be extrapolated. Results revealed that many biological targets apparently activated within the chemical groupings lack, at this time, validated toxicity pathway associations. Therefore, as means of providing proof-of-principle, a comparatively well-characterized end point-estrogenicity-was selected for evaluation. This was facilitated through the preparation of two exploratory case studies, focusing upon groupings of paraben-gallates and pyranone-type compounds (notably flavonoids). Within both, the HTS data were seen to reflect estrogenic potencies in a manner which broadly corresponded to established structure-activity group relationships, with parabens and flavonoids displaying greater estrogen receptor affinity than benzoate esters and alternative pyranone-containing molecules, respectively. As such, utility in the identification of out-of-domain compounds was demonstrated, indicating potential for application in addressing point (3) as detailed above.

摘要

本研究旨在确定高通量筛选 (HTS) 数据的实用性,以 ToxCast 和 Tox21 为例,将其应用于与食品相关的化学物质的毒理学外推。主要解决了以下关键问题:HTS 数据在多大程度上能够提供信息,使(1)阐明与毒理学终点相关的潜在生物活性,(2)填补现有毒理学数据空白,以及(3)定义可以可靠外推生物活性的化学空间边界。结果表明,在化学分组中显然被激活的许多生物靶标目前缺乏经过验证的毒性途径关联。因此,作为原理验证的一种手段,选择了一个相对特征明确的终点——雌激素活性进行评估。这通过准备两个探索性案例研究来实现,重点关注对羟基苯甲酸酯-鞣花酸和吡喃酮类化合物(特别是类黄酮)的分组。在这两种情况下,HTS 数据都以与既定的结构-活性关系大致对应的方式反映了雌激素活性,对羟基苯甲酸酯和类黄酮显示出比苯甲酸酯酯和其他含吡喃酮的分子更高的雌激素受体亲和力。因此,证明了在识别域外化合物方面的实用性,表明有可能用于解决上述第 (3) 点。

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