Suppr超能文献

GHS 混合物方程预测急性口服毒性的性能。

Performance of the GHS Mixtures Equation for Predicting Acute Oral Toxicity.

机构信息

ILS, P.O. Box 13501, Research Triangle Park, NC, 27709, USA.

Office of Pesticide Programs, U.S. Environmental Protection Agency, 1200 Pennsylvania Ave, NW, Washington, DC, 20460, USA.

出版信息

Regul Toxicol Pharmacol. 2021 Oct;125:105007. doi: 10.1016/j.yrtph.2021.105007. Epub 2021 Jul 20.

Abstract

Acute oral toxicity classifications are based on the estimated chemical dose causing lethality in 50 % of laboratory animals tested (LD). Given the large number of pesticide registration applications that require acute toxicity data, an alternative to the in vivo test could greatly reduce animal testing. The United Nations Globally Harmonized System of Classification and Labelling of Chemicals (GHS) Mixtures Equation estimates the acute toxicity of mixtures using the toxicities of mixture components. The goal of this study was to evaluate the concordance of LDs predicted using the GHS Mixtures Equation and LDs from the in vivo test results. Using the EPA classification system, concordance was 55 % for the full dataset (N = 671), 52 % for agrochemical formulations (N = 620), and 84 % for antimicrobial cleaning products (N = 51). Most discordant results were from substances LD > 2000 mg/kg (limit test) or 2000 < LD < 5000 mg/kg that were predicted as LD > 5000 mg/kg. A supplementary analysis combining all formulations with an LD > 500 mg/kg produced a concordance of 82 %. The lack of more toxic formulations in this dataset prevented a thorough evaluation of the GHS equation for such substances. Accordingly, our results suggest the GHS equation is helpful to predict the toxicity of mixtures, particularly those with lower toxicity.

摘要

急性口服毒性分类基于估计的化学剂量,该剂量会导致 50%的试验动物致死 (LD)。考虑到需要急性毒性数据的农药登记申请数量众多,替代体内测试的方法可以大大减少动物测试。联合国全球化学品统一分类和标签制度 (GHS)混合物方程使用混合物成分的毒性来估计混合物的急性毒性。本研究的目的是评估使用 GHS 混合物方程预测的 LD 值与体内测试结果的 LD 值之间的一致性。使用 EPA 分类系统,全数据集 (N = 671) 的一致性为 55%,农用化学品制剂 (N = 620) 的一致性为 52%,抗菌清洁产品 (N = 51) 的一致性为 84%。大多数不一致的结果来自 LD > 2000 mg/kg (极限测试)或 2000 < LD < 5000 mg/kg 的物质,这些物质被预测为 LD > 5000 mg/kg。将所有 LD > 500 mg/kg 的制剂进行联合分析,产生了 82%的一致性。由于该数据集中没有更有毒的制剂,因此无法对 GHS 方程进行此类物质的全面评估。因此,我们的结果表明 GHS 方程有助于预测混合物的毒性,特别是那些毒性较低的混合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d82b/9623877/153599519772/nihms-1726572-f0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验