A Structured Approach to Optimizing Animal Model Selection for Human Translation: The Animal Model Quality Assessment

Area of Science:

• Pharmaceutical drug discovery
• Preclinical research
• Translational medicine

Background:

• Animal studies are crucial in pharmaceutical drug discovery for preclinical compound evaluation.
• High attrition rates in drug development raise concerns about the predictive validity of animal models for human clinical trials.
• There is a need for improved methods to assess the translational relevance of animal models.

Purpose of the Study:

• To develop a tool for transparently characterizing and evaluating animal models.
• To assess key features influencing a model's application and its likelihood of successful clinical translation.
• To define a scoring system for predicting the translational success of animal models.

Main Methods:

• Development of the Animal Model Quality Assessment (AMQA) tool.
• Inclusion of specific questions to evaluate model characteristics.
• Implementation of a high-level scoring system for predictive translatability.

Main Results:

• The AMQA tool provides a structured approach to evaluate animal models.
• The scoring system aims to quantify the predictive translatability of preclinical findings.
• An example assessment for a colitis mouse model is provided.

Conclusions:

• The Animal Model Quality Assessment tool enhances the evaluation of animal models for drug discovery.
• This tool aids in understanding the potential for successful translation of preclinical outcomes to human patients.
• Improved assessment of animal models can contribute to reducing drug development attrition rates.