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Guidance for developing Adverse Outcome Pathway (AOP) networks is crucial for advancing toxicology. This study introduces methods for AOP network construction and analysis, including filters and layers, to support mixture toxicity assessments and feedback loops.

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Area of Science:

  • Environmental Toxicology
  • Chemical Risk Assessment
  • Adverse Outcome Pathway (AOP) Framework

Background:

  • A Horizon Scanning exercise identified a critical need for guidance on developing Adverse Outcome Pathway (AOP) networks.
  • This need extends to mixture toxicity assessment and feedback loops within the AOP framework.
  • This article (Part I) focuses on the derivation and tailoring of AOP networks.

Purpose of the Study:

  • To differentiate AOP network development from individual AOP development.
  • To propose filters and layers for tailoring AOP networks to specific research questions.
  • To introduce analytical approaches for characterizing AOP network structure.

Main Methods:

  • Conceptual framework for AOP network derivation.
  • Proposal of filtering and layering strategies for AOP network customization.
  • Introduction to analytical approaches for AOP network characterization (detailed in Part II).

Main Results:

  • AOP networks offer a structured approach to understanding complex toxicological interactions.
  • Filters and layers enable adaptable AOP networks for diverse applications.
  • Case studies illustrate the development, analysis, and application of AOP networks.

Conclusions:

  • The proposed methods provide a foundation for AOP network development and application.
  • Further development and stakeholder engagement are encouraged for the AOP network concept.
  • This work aims to catalyze the use of AOP networks in environmental toxicology and chemistry.