Session 3 Chair: Stephen Edwards
The Adverse Outcome Pathway framework represents a systematic way to organize mechanistic information underlying toxicology, and it is specifically designed to connect early stage molecular perturbations by chemicals and other stressors with adverse outcomes in humans and wildlife. This framework serves as a scaffold for toxicology data from a wide variety of sources including high throughput toxicity testing (HTT), in vivo toxicology studies in laboratory animals, and biomarkers from human epidemiology or ecological field studies. This session will highlight AOP development using HTT information, as well as literature based approaches. We will also see examples of organizing biomarker data from laboratory and epidemiology studies via the AOP framework. After highlighting various AOP development methods and showing the value of the AOP as a scaffold for existing data, we will introduce the process of moving from a qualitative description of an AOP to a quantitative AOP backed by predictive computational models. Finally, an example will be presented to demonstrate the use of AOPs to facilitate the incorporation of HTT information for predicting chemical toxicity using read-across techniques.