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通过整合暴露评估和新方法学对食品中的化学物质进行风险评估的优先级排序:一个下一代风险评估案例研究。

Prioritization of chemicals in food for risk assessment by integrating exposure estimates and new approach methodologies: A next generation risk assessment case study.

作者信息

Luijten Mirjam, Sprong R Corinne, Rorije Emiel, van der Ven Leo T M

机构信息

Centre for Health Protection, Bilthoven, Netherlands.

Centre for Nutrition, Prevention and Health Services, Bilthoven, Netherlands.

出版信息

Front Toxicol. 2022 Sep 19;4:933197. doi: 10.3389/ftox.2022.933197. eCollection 2022.

Abstract

Next generation risk assessment is defined as a knowledge-driven system that allows for cost-efficient assessment of human health risk related to chemical exposure, without animal experimentation. One of the key features of next generation risk assessment is to facilitate prioritization of chemical substances that need a more extensive toxicological evaluation, in order to address the need to assess an increasing number of substances. In this case study focusing on chemicals in food, we explored how exposure data combined with the Threshold of Toxicological Concern (TTC) concept could be used to prioritize chemicals, both for existing substances and new substances entering the market. Using a database of existing chemicals relevant for dietary exposure we calculated exposure estimates, followed by application of the TTC concept to identify substances of higher concern. Subsequently, a selected set of these priority substances was screened for toxicological potential using high-throughput screening (HTS) approaches. Remarkably, this approach resulted in alerts for a selection of substances that are already on the market and represent relevant exposure in consumers. Taken together, the case study provides proof-of-principle for the approach taken to identify substances of concern, and this approach can therefore be considered a supportive element to a next generation risk assessment strategy.

摘要

下一代风险评估被定义为一种知识驱动的系统,它能够在不进行动物实验的情况下,对与化学物质暴露相关的人类健康风险进行经济高效的评估。下一代风险评估的关键特征之一是便于对需要更广泛毒理学评估的化学物质进行优先级排序,以满足评估越来越多物质的需求。在这个聚焦于食品中化学物质的案例研究中,我们探讨了如何将暴露数据与毒理学关注阈值(TTC)概念相结合,用于对现有物质和进入市场的新物质的化学物质进行优先级排序。利用一个与膳食暴露相关的现有化学物质数据库,我们计算了暴露估计值,随后应用TTC概念来识别更值得关注的物质。随后,使用高通量筛选(HTS)方法对这些优先物质中的一组选定物质进行了毒理学潜力筛选。值得注意的是,这种方法对一些已在市场上且在消费者中存在相关暴露的物质发出了警示。总体而言,该案例研究为识别关注物质所采用的方法提供了原理证明,因此这种方法可被视为下一代风险评估策略的一个支持要素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cc8/9527283/7f2bae3e8462/ftox-04-933197-g001.jpg

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