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Published on: September 27, 2015
Is MASLD lost in translation in mice?
Aysim Gunes1, Jennifer L Estall2
1Institut de Recherches Cliniques de Montréal (IRCM), Montréal, Québec, Canada; Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada.
Abstract:
Lack of preclinical model translation is often blamed for failed drug development. Here we discuss mouse models within the context of human steatotic liver disease (SLD). Variables such as aging and non-food hepatic stressors are often ignored but could explain challenges in reproducing the human disease in a laboratory.
Insights
Mouse models for steatotic liver disease (SLD) often fail to translate to human patients. Factors like aging and non-dietary liver stressors are critical but frequently overlooked, impacting research reproducibility.
Area of Science:
- Hepatology
- Translational Medicine
- Preclinical Research
Background:
- Drug development for steatotic liver disease (SLD) faces significant challenges.
- Preclinical models are crucial for understanding disease mechanisms and testing therapeutics.
- Poor translation from animal models to human clinical outcomes is a persistent issue.
Purpose of the Study:
- To critically evaluate the utility of mouse models for studying human steatotic liver disease.
- To identify key variables that may explain the translational gap in SLD drug development.
- To highlight factors often overlooked in current preclinical research.
Main Methods:
- Review and discussion of existing literature on mouse models of steatotic liver disease.
- Analysis of factors influencing disease progression and phenotype in preclinical models.
- Comparison of experimental conditions in mouse models versus human SLD.
Main Results:
- Mouse models may not fully recapitulate the complexity of human steatotic liver disease.
- Aging and non-dietary hepatic stressors are significant confounding variables.
- These overlooked factors can lead to discrepancies between preclinical findings and human disease presentation.
Conclusions:
- Current mouse models require refinement to better reflect human steatotic liver disease.
- Incorporating variables like aging and diverse hepatic stressors is essential for improving translational success.
- Addressing these limitations can enhance the reliability of preclinical data for SLD drug development.
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