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2008 - 2014年REACH注册中的公共口服毒性数据分析。

Analysis of public oral toxicity data from REACH registrations 2008-2014.

作者信息

Luechtefeld Thomas, Maertens Alexandra, Russo Daniel P, Rovida Costanza, Zhu Hao, Hartung Thomas

机构信息

Center for Alternatives to Animal Testing (CAAT), Johns Hopkins Bloomberg School of Public Health, Environmental Health Sciences, Baltimore, MD, USA.

The Rutgers Center for Computational & Integrative Biology, Rutgers University at Camden, NJ, USA.

出版信息

ALTEX. 2016;33(2):111-22. doi: 10.14573/altex.1510054. Epub 2016 Feb 11.

Abstract

The European Chemicals Agency, ECHA, made available a total of 13,832 oral toxicity studies for 8,568 substances up to December 2014. 75% of studies were from the retired OECD Test Guideline 401 (11% TG 420, 11% TG 423 and 1.5% TG 425). Concordance across guidelines, evaluated by comparing LD50 values ≥ 2000 or < 2000 mg/kg body weight from chemicals tested multiple times between different guidelines, was at least 75% and for their own repetition more than 90%. In 2009, Bulgheroni et al. created a simple model for predicting acute oral toxicity using no observed adverse effect levels (NOAEL) from 28-day repeated dose toxicity studies in rats. This was reproduced here for 1,625 substances. In 2014, Taylor et al. suggested no added value of the 90-day repeated dose oral toxicity test given the availability of a low 28-day study with some constraints. We confirm that the 28-day NOAEL is predictive (albeit imperfectly) of 90-day NOAELs, however, the suggested constraints did not affect predictivity. 1,059 substances with acute oral toxicity data (268 positives, 791 negatives, all Klimisch score 1) were used for modeling: The Chemical Development Kit was used to generate 27 molecular descriptors and a similarity-informed multilayer perceptron showing 71% sensitivity and 72% specificity. Additionally, the k-nearest neighbors (KNN) algorithm indicated that similarity-based approaches alone may be poor predictors of acute oral toxicity, but can be used to inform the multilayer perceptron model, where this was the feature with highest information value.

摘要

截至2014年12月,欧洲化学品管理局(ECHA)共提供了8568种物质的13832份口服毒性研究报告。75%的研究报告来自已废止的经合组织测试指南401(11%来自测试指南420,11%来自测试指南423,1.5%来自测试指南425)。通过比较不同指南多次测试的化学物质的半数致死剂量(LD50)值≥2000或<2000mg/kg体重来评估指南之间的一致性,一致性至少为75%,其自身重复率超过90%。2009年,布尔盖罗尼等人利用大鼠28天重复剂量毒性研究中的未观察到有害作用水平(NOAEL)创建了一个预测急性口服毒性的简单模型。在此对1625种物质进行了重现。2014年,泰勒等人认为,鉴于有一些限制条件的低剂量28天研究可用,90天重复剂量口服毒性试验没有附加价值。我们证实,28天的NOAEL对90天的NOAEL具有预测性(尽管并不完美),然而,所建议的限制条件并未影响预测性。1059种具有急性口服毒性数据的物质(268种阳性,791种阴性,所有数据的可靠性评分均为1)用于建模:使用化学开发工具包生成27个分子描述符,并使用一个基于相似性的多层感知器,其灵敏度为71%,特异性为72%。此外,k近邻(KNN)算法表明,仅基于相似性的方法可能是急性口服毒性的较差预测指标,但可用于为多层感知器模型提供信息,而这是具有最高信息价值的特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0202/5461469/9a76babf46cd/nihms858850f1.jpg

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