Mode of action: moving toward a more relevant and efficient assessment paradigm

Vicki Dellarco1, Penelope A Fenner-Crisp

  • 1U.S. Environmental Protection Agency, Office of Pesticide Programs, Washington, DC, USA. Dellarco.vicki@epa.gov

The Journal of Nutrition
|October 26, 2012
PubMed

Insights

A new framework integrates diverse data to predict how chemical agents affect biological functions, improving safety evaluations. This approach enhances the relevance of animal studies to human health by comparing mechanisms of action.

Area of Science:

  • Toxicology
  • Risk Assessment
  • Biotechnology

Background:

  • Current safety evaluations require integrated approaches using existing knowledge to understand how agents perturb biological functions.
  • The International Program for Chemical Safety and International Life Sciences Institute developed a Mode of Action (MOA)-human relevance framework.

Purpose of the Study:

  • To present an integrated, hypothesis-driven approach to safety evaluation using the MOA-human relevance framework.
  • To demonstrate how this framework organizes and integrates various lines of evidence for efficient safety assessment.
  • To formalize the use of MOA data in safety evaluations, incorporating both traditional and novel approaches.

Main Methods:

  • Utilizing a weight-of-evidence approach based on causality considerations (dose response, temporal concordance, consistency, specificity, biological plausibility).
  • Establishing animal MOA and key events.
  • Conducting qualitative and quantitative comparisons of key events between experimental animals and humans.

Main Results:

  • The framework facilitates the organization, linkage, and integration of diverse evidence (in vitro, in vivo) at multiple biological levels.
  • Comparison of animal and human MOA key events allows determination of human relevance.
  • Enables refined hazard and dose-response assessments when MOA is operative in humans.

Conclusions:

  • The MOA-human relevance framework is a valuable tool for advancing safety evaluation utility and predictability.
  • It promotes a more efficient, hypothesis-driven approach by integrating diverse data.
  • The framework supports the use of MOA data, aligning with modern toxicity testing recommendations for improved human health risk assessment.