School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK.
European Commission, Joint Research Centre (JRC), Ispra, Italy.
Arch Toxicol. 2019 Oct;93(10):2759-2772. doi: 10.1007/s00204-019-02551-1. Epub 2019 Aug 23.
An adverse outcome pathway (AOP) network is an attempt to represent the complexity of systems toxicology. This study illustrates how an AOP network can be derived and analysed in terms of its topological features to guide research and support chemical risk assessment. A four-step workflow describing general design principles and applied design principles was established and implemented. An AOP network linking nine linear AOPs was mapped and made available in AOPXplorer. The resultant AOP network was modelled and analysed in terms of its topological features, including level of degree, eccentricity and betweenness centrality. Several well-connected KEs were identified, and cell injury/death was established as the most hyperlinked KE across the network. The derived network expands the utility of linear AOPs to better understand signalling pathways involved in developmental and adult/ageing neurotoxicity. The results provide a solid basis to guide the development of in vitro test method batteries, as well as further quantitative modelling of key events (KEs) and key event relationships (KERs) in the AOP network, with an eventual aim to support hazard characterisation and chemical risk assessment.
不良结局途径(AOP)网络试图代表系统毒理学的复杂性。本研究说明了如何根据拓扑特征来推导和分析 AOP 网络,以指导研究并支持化学风险评估。建立并实施了一个四步工作流程,描述了一般设计原则和应用设计原则。将九个线性 AOP 链接的 AOP 网络进行了映射,并在 AOPXplorer 中提供。根据拓扑特征对所得 AOP 网络进行建模和分析,包括度、偏心度和中间中心性的水平。确定了几个连接良好的 KE,细胞损伤/死亡被确定为整个网络中链接最多的 KE。该网络扩展了线性 AOP 的用途,以更好地了解发育和成年/老化神经毒性中涉及的信号通路。研究结果为指导体外测试方法组合的开发提供了坚实的基础,以及对 AOP 网络中的关键事件(KE)和关键事件关系(KER)进行进一步的定量建模,最终目的是支持危害特征描述和化学风险评估。