FutureTox II: in vitro data and in silico models for predictive toxicology

Area of Science:

• Toxicology
• Risk Assessment
• Computational Biology

Background:

• The workshop addressed the need to integrate new approach methodologies (NAMs) into toxicological evaluations.
• It focused on the National Research Council's 21st-century vision for predictive toxicology.
• The goal was to bridge the gap between in vitro/in silico data and in vivo outcomes.

Purpose of the Study:

• To review the current state of predictive toxicology science.
• To identify knowledge gaps and technological limitations in using non-animal testing methods.
• To define future research directions for regulatory toxicology.

Main Methods:

• Discussions and presentations at the FutureTox II workshop.
• Review of emerging technologies like stem cell models, organotypic cultures, and high-content imaging.
• Exploration of mathematical modeling and adverse outcome pathways (AOPs).

Main Results:

• Advances in predicting metabolism, cell growth, and effects on sensitive populations were discussed.
• Integration of in vitro/in silico data into risk assessment frameworks was evaluated.
• Knowledge gaps and technological limitations were identified across various toxicological endpoints.

Conclusions:

• Significant progress has been made towards an in vitro/in silico based risk assessment paradigm.
• Further research is needed in areas including hepatotoxicity, cancer prediction, and developmental toxicity.
• Recommendations were made to advance regulatory toxicology and reduce reliance on traditional animal testing.