Jaylet Thomas, Quintens Roel, Armant Olivier, Audouze Karine
Université Paris Cité, Inserm T3S, Paris, France.
Belgian Nuclear Research Centre, SCK CEN, Mol, Belgium.
Front Cell Dev Biol. 2023 Jun 22;11:1197204. doi: 10.3389/fcell.2023.1197204. eCollection 2023.
Adverse Outcome Pathways (AOPs) are useful tools for assessing the potential risks associated with exposure to various stressors, including chemicals and environmental contaminants. They provide a framework for understanding the causal relationships between different biological events that can lead to adverse outcomes (AO). However, developing an AOP is a challenging task, particularly in identifying the molecular initiating events (MIEs) and key events (KEs) that constitute it. Here, we propose a systems biology strategy that can assist in the development of AOPs by screening publicly available databases, literature with the text mining tool AOP-helpFinder, and pathway/network analyses. This approach is straightforward to use, requiring only the name of the stressor and adverse outcome to be studied. From this, it quickly identifies potential KEs and literature providing mechanistic information on the links between the KEs. The proposed approach was applied to the recently developed AOP 441 on radiation-induced microcephaly, resulting in the confirmation of the KEs that were already present and identification of new relevant KEs, thereby validating the strategy. In conclusion, our systems biology approach represents a valuable tool to simplify the development and enrichment of Adverse Outcome Pathways (AOPs), thus supporting alternative methods in toxicology.
不良结局途径(AOPs)是评估与接触各种应激源(包括化学物质和环境污染物)相关潜在风险的有用工具。它们为理解不同生物事件之间可导致不良结局(AO)的因果关系提供了一个框架。然而,开发一个AOP是一项具有挑战性的任务,特别是在识别构成它的分子起始事件(MIEs)和关键事件(KEs)方面。在此,我们提出一种系统生物学策略,该策略可通过使用文本挖掘工具AOP-helpFinder筛选公开可用的数据库、文献以及进行通路/网络分析,来协助AOPs的开发。这种方法易于使用,只需要研究应激源和不良结局的名称。据此,它能快速识别潜在的KEs以及提供KEs之间联系的机制信息的文献。所提出的方法应用于最近开发的关于辐射诱导小头畸形的AOP 441,从而确认了已有的KEs并识别出新的相关KEs,进而验证了该策略。总之,我们的系统生物学方法是一种有价值的工具,可简化不良结局途径(AOPs)的开发和充实,从而支持毒理学中的替代方法。