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推导环境相关化学品吸入暴露的毒理学关注阈值新值

Derivation of New Threshold of Toxicological Concern Values for Exposure via Inhalation for Environmentally-Relevant Chemicals.

作者信息

Nelms Mark D, Patlewicz Grace

机构信息

Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States.

Center for Computational Toxicology & Exposure (CCTE), U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC, United States.

出版信息

Front Toxicol. 2020 Oct 16;2:580347. doi: 10.3389/ftox.2020.580347. eCollection 2020.

Abstract

The requirements of amended Toxic Substances Control Act (TSCA) stipulates that the US Environmental Protection Agency (US EPA) evaluate existing chemicals and make risk based assessments. There are ~33,000 substances that are active in commerce on the TSCA public non-confidential inventory, many of which lack available toxicity and exposure information to inform risk-based decision making. One approach to facilitate the assessment of these substances being considered is the Threshold of Toxicological Concern (TTC). TTC values are intended to identify safe levels of exposure for data poor substances. TTC values derived based on non-cancer data notably by Munro et al. (1996) are well-established and are in routine use for food additive applications however far less attention has been focused on developing TTC values where inhalation is the route of exposure. Here, an effort was made to derive new inhalation TTC values using the EPA's Toxicity Values database, ToxValDB. A total of 4,703 substances captured in ToxValDB were assigned into their respective TTC categories using the Kroes module within the Toxtree software tool and custom profilers developed in Nelms et al. (2019) and Patlewicz et al. (2018). For the substances assigned into the 3 Cramer classes, the 5th percentiles were calculated from the empirical cumulative distributions of No observed (adverse) effect level (concentration) values. The 5th percentiles were converted to their respective TTC values and compared with published values reported by Escher et al. (2010) and Carthew et al. (2009). The TTC values derived from ToxValDB were orders of magnitude more conservative, further, Cramer classification was not found to be effective at discriminating potencies. Instead, use of aquatic toxicity modes of action such as Verhaar et al. (1992) were found to be effective at separating substances in terms of their potencies and new TTC thresholds were derived.

摘要

修订后的《有毒物质控制法》(TSCA)的要求规定,美国环境保护局(US EPA)应对现有化学品进行评估并进行基于风险的评估。在TSCA公开非保密清单上有大约33000种在商业中活跃的物质,其中许多缺乏可用的毒性和暴露信息,无法为基于风险的决策提供依据。促进对这些正在审议的物质进行评估的一种方法是毒理学关注阈值(TTC)。TTC值旨在确定数据匮乏物质的安全暴露水平。基于非癌症数据得出的TTC值,尤其是Munro等人(1996年)得出的,已得到充分确立,并在食品添加剂应用中常规使用,然而,对于通过吸入途径暴露的情况,在制定TTC值方面所给予的关注要少得多。在此,人们努力利用美国环境保护局的毒性值数据库ToxValDB得出新的吸入TTC值。使用Toxtree软件工具中的Kroes模块以及Nelms等人(2019年)和Patlewicz等人(2018年)开发的定制分析器,将ToxValDB中收录的总共4703种物质归入各自的TTC类别。对于归入3个克莱默类别的物质,从未观察到(不良)效应水平(浓度)值的经验累积分布中计算出第5百分位数。将第5百分位数转换为各自的TTC值,并与Escher等人(2010年)和Carthew等人(2009年)报告的已发表值进行比较。从ToxValDB得出的TTC值保守程度要高出几个数量级,此外,未发现克莱默分类法在区分效力方面有效。相反,发现使用Verhaar等人(1992年)提出的水生毒性作用模式在根据效力分离物质方面有效,并得出了新的TTC阈值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaec/8915872/9591f3cacf0d/ftox-02-580347-g0001.jpg

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