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Using the mouse to model human disease: increasing validity and reproducibility
Monica J Justice1, Paraminder Dhillon2
1Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, SickKids Research Institute, 686 Bay St, 14.9716, Toronto, Ontario, Canada M5G 0A4 monica.justice@sickkids.ca.
Abstract:
Experiments that use the mouse as a model for disease have recently come under scrutiny because of the repeated failure of data, particularly derived from preclinical studies, to be replicated or translated to humans. The usefulness of mouse models has been questioned because of irreproducibility and poor recapitulation of human conditions. Newer studies, however, point to bias in reporting results and improper data analysis as key factors that limit reproducibility and validity of preclinical mouse research. Inaccurate and incomplete descriptions of experimental conditions also contribute. Here, we provide guidance on best practice in mouse experimentation, focusing on appropriate selection and validation of the model, sources of variation and their influence on phenotypic outcomes, minimum requirements for control sets, and the importance of rigorous statistics. Our goal is to raise the standards in mouse disease modeling to enhance reproducibility, reliability and clinical translation of findings.
Insights
Mouse models are crucial for disease research but face reproducibility issues. Improving experimental design, data analysis, and reporting standards can enhance the reliability and clinical translation of findings from mouse studies.
Area of Science:
- Biomedical Research
- Translational Science
- Animal Models
Background:
- Mouse models are widely used in preclinical research.
- Reproducibility and translation of mouse study data to humans are frequently problematic.
- Issues include poor data replication, inadequate human condition recapitulation, reporting bias, and flawed data analysis.
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