Mouse Population-Based Approaches to Investigate Adverse Drug Reactions

Merrie Mosedale1

  • 1Division of Pharmacotherapy and Experimental Therapeutics and Institute for Drug Safety Sciences, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina merrie@unc.edu.

Insights

Genetically diverse mouse models reveal drug toxicity risks missed in standard studies. These models identify genetic factors for safer drug development and precision medicine strategies.

Area of Science:

  • Pharmacogenomics
  • Toxicology
  • Drug Development

Background:

  • Genetic variation significantly impacts drug toxicity, but standard models lack diversity.
  • Early clinical trials often fail to detect rare genetic susceptibility factors for adverse drug reactions.
  • Idiosyncratic adverse drug reactions suggest rare genetic variants, often missed in underpowered clinical studies.

Purpose of the Study:

  • To highlight the limitations of current toxicology models in capturing genetic diversity.
  • To present genetically diverse mouse populations as a solution for identifying drug toxicity liabilities.
  • To explore the utility of mouse population-based approaches in drug development and risk mitigation.

Main Methods:

  • Review of genetically diverse mouse populations and their application in drug toxicity studies.
  • Examples of using mouse models to identify sensitive strains and genetic susceptibility factors.
  • Exploration of adapting mouse population approaches to in vitro platforms.

Main Results:

  • Genetically diverse mouse populations effectively model toxicity responses requiring genetic susceptibility.
  • These models can identify sensitive strains for screening new compounds.
  • Population-based approaches aid in discovering genetic risk factors and elucidating toxicity mechanisms.

Conclusions:

  • Genetically diverse mouse populations are crucial for overcoming limitations in preclinical and clinical drug safety assessment.
  • These models facilitate the identification of genetic factors for precision medicine and risk mitigation.
  • Adapting these approaches to in vitro systems enhances early detection of drug toxicity susceptibility.

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