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sAOP:将化学应激源与不良结局途径网络联系起来。

sAOP: linking chemical stressors to adverse outcomes pathway networks.

机构信息

Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2200, Denmark.

Environmental Toxicity, Therapeutic Targets, Cellular Signaling and Biomarkers (T3S) Unit, Université de Paris, INSERM UMR-S 1124, Paris, France.

出版信息

Bioinformatics. 2019 Dec 15;35(24):5391-5392. doi: 10.1093/bioinformatics/btz570.

Abstract

MOTIVATION

Adverse outcome pathway (AOP) is a toxicological concept proposed to provide a mechanistic representation of biological perturbation over different layers of biological organization. Although AOPs are by definition chemical-agnostic, many chemical stressors can putatively interfere with one or several AOPs and such information would be relevant for regulatory decision-making.

RESULTS

With the recent development of AOPs networks aiming to facilitate the identification of interactions among AOPs, we developed a stressor-AOP network (sAOP). Using the 'cytotoxitiy burst' (CTB) approach, we mapped bioactive compounds from the ToxCast data to a list of AOPs reported in AOP-Wiki database. With this analysis, a variety of relevant connections between chemicals and AOP components can be identified suggesting multiple effects not observed in the simplified 'one-biological perturbation to one-adverse outcome' model. The results may assist in the prioritization of chemicals to assess risk-based evaluations in the context of human health.

AVAILABILITY AND IMPLEMENTATION

sAOP is available at http://saop.cpr.ku.dk.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

不良结局途径 (AOP) 是一个毒理学概念,旨在提供对不同层次生物组织中生物扰动的机制表示。尽管 AOP 从定义上讲是与化学无关的,但许多化学应激源可以推测会干扰一个或多个 AOP,并且此类信息对于监管决策很重要。

结果

随着 AOP 网络的最新发展旨在促进 AOP 之间的相互作用识别,我们开发了一种应激源-AOP 网络 (sAOP)。使用“细胞毒性爆发” (CTB) 方法,我们将来自 ToxCast 数据的生物活性化合物映射到 AOP-Wiki 数据库中报告的一系列 AOP 上。通过这种分析,可以识别出化学物质和 AOP 成分之间的各种相关联系,这表明在简化的“一个生物扰动到一个不良结局”模型中观察不到多种影响。结果可能有助于优先考虑化学物质,以便在人类健康背景下进行基于风险的评估。

可用性和实施

sAOP 可在 http://saop.cpr.ku.dk 上获得。

补充信息

补充数据可在“Bioinformatics”在线获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/723e/9887475/ead9d4af704e/bioinformatics_35_24_5391_f1.jpg

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