The use of mice in diabetes research: The impact of physiological characteristics, choice of model and husbandry practices.
Lydia F Daniels GatwardMatilda R KennardLorna I F SmithAileen J F KingPublished in: Diabetic medicine : a journal of the British Diabetic Association (2021)
Diabetes mellitus is characterised by hyperglycaemia, which results from an absolute or relative lack of insulin. Chronic and acute hyperglycaemia are associated with a range of health complications and an overall increased risk of mortality. Mouse models are vital in understanding the pathogenesis of this disease and its complications, as well as for developing new diabetes therapeutics. However, for experimental questions to be suitably tested, it is critical that factors inherent to the animal model are considered, as these can have profound impacts on experimental outcome, data reproducibility and robustness. In this review, we discuss key considerations relating to model choice, physiological characteristics (such as age, sex and genetic background) and husbandry practices and explore the impact of these on common experimental readouts used in preclinical diabetes research.
Keyphrases
- glycemic control
- type diabetes
- healthcare
- cardiovascular disease
- risk factors
- primary care
- public health
- mouse model
- liver failure
- machine learning
- small molecule
- high fat diet induced
- gene expression
- insulin resistance
- weight loss
- electronic health record
- respiratory failure
- stem cells
- risk assessment
- drug induced
- mesenchymal stem cells
- coronary artery disease
- health information
- big data
- bone marrow
- adipose tissue
- decision making
- hepatitis b virus