From Causal Networks to Adverse Outcome Pathways: A Developmental Neurotoxicity Case Study
Živa Ramšak1, Vid Modic1,2, Roman A Li3
1Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia.
Developing new adverse outcome pathways (AOPs) for chemical risk assessment is now faster. This study presents a semi-automatic method using toxicological networks to generate AOPs efficiently.
Area of Science:
- Toxicology
- Chemical Risk Assessment
- Pathway Analysis
Background:
- The Adverse Outcome Pathways (AOP) framework is crucial for chemical risk assessment.
- Current AOP development is slow and labor-intensive, hindering its widespread application.
Purpose of the Study:
- To present a faster, semi-automatic approach for generating new AOPs.
- To demonstrate the utility of curated causal toxicological networks for AOP development.
Main Methods:
- Utilized a zebrafish developmental neurotoxicity network containing causally linked molecular events.
- Employed automatic network separation into candidate AOPs.
- Filtered AOPs based on evidence and length, followed by manual refinement and weight-of-evidence evaluation.
Main Results:
- Successfully developed two novel AOPs: AOP 399 (Fyna inhibition to mortality via decreased eye size) and AOP 410 (GSK3beta inactivation to mortality via inner ear defects).
- Demonstrated a semi-automatic method for efficient AOP generation.
Conclusions:
- The presented semi-automatic approach accelerates AOP development.
- Leveraging large toxicological network resources enables fast and straightforward AOP creation for risk assessment.
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