Introducing WikiPathways to support Adverse Outcome Pathways for regulatory risk assessment
posterposted on 02.09.2018, 20:37 authored by Marvin MartensMarvin Martens, Tim Verbruggen, Chris T. Evelo, Egon WillighagenEgon Willighagen, Penny NymarkPenny Nymark, Roland Grafström, Lyle D. Burgoon, Hristo Aladjov, Fernando Torres AndónFernando Torres Andón
A paradigm shift is taking place in risk assessment to replace animal models, reduce the amount of resources, and refine the methodologies to test the growing number of chemicals and nanomaterials. Therefore, approaches such as transcriptomics, proteomics and metabolomics have become valuable tools in toxicological research, and are finding their way into regulatory toxicity. One promising framework to bridge the gap between the molecular-level measurements and risk assessment is the concept of Adverse Outcome Pathways (AOPs). These pathways comprise mechanistic knowledge and connect biological events from a molecular level towards an adverse effect after exposure to a chemical at higher biological level. However, the implementation of omics-based approaches in the AOPs and acceptance by the risk assessment community is still a challenge. Because the existing modules in the main repository for AOPs, the AOP Knowledge Base (AOP-KB), do not currently allow the integration of omics technologies, additional tools are required for omics-based data analysis and visualization. Here we show how WikiPathways can serve as a supportive tool to make omics data interoperable with the AOP-Wiki, part of the AOP-KB. Manual matching of Key Events (KEs) indicated that 67% could be linked with molecular pathways. Automatic connection through linkage of identifiers between the databases showed that only 30% AOP-Wiki chemicals were found on WikiPathways. More loose linkage through gene names in KE and Key Event Relationships descriptions gave an overlap of 70% and 71% respectively. This shows many opportunities to create more direct connections, for example with extended ontology annotations, improving its interoperability. This interoperability allows the needed integration of omics data linked to the molecular pathways with AOPs. A new AOP Portal on WikiPathways is presented to allow the community of AOP developers collaborate and populate the molecular pathways that underlie the KEs of AOP-Wiki. We conclude that the integration of WikiPathways and AOP-Wiki will improve risk assessment because we can link omics data directly to KEs and therefore AOPs. However, to make assessment reproducible and valid, major changes are needed in both WikiPathways and AOP-Wiki.