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Spinu, N, Bal-Price, A, Cronin, MTD, Enoch, SJ, Madden, JC and Worth, A (2019) Development and Analysis of an Adverse Outcome Pathway Network for Human Neurotoxicity. Archives of Toxicology, 93 (10). pp. 2759-2772. ISSN 0340-5761
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Development and Analysis of an Adverse Outcome Pathway Network for Human Neurotoxicity.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
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 were 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/aging 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 1115 Pharmacology and Pharmaceutical Sciences |
| Subjects: | R Medicine > RM Therapeutics. Pharmacology |
| Divisions: | Pharmacy & Biomolecular Sciences |
| Publisher: | Springer (part of Springer Nature) |
| Date Deposited: | 15 Aug 2019 11:11 |
| Last Modified: | 04 Sep 2021 08:59 |
| DOI or ID number: | 10.1007/s00204-019-02551-1 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/11211 |
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