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Updated: Dec 26, 2025

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model

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Published on: November 29, 2024

Practical Considerations when Using Mouse Models of Diabetes.

Aileen J F King¹, Lydia F Daniels Gatward², Matilda R Kennard²

¹Department of Diabetes, School of Life Course Sciences, King's College London, London, UK. aileen.king@kcl.ac.uk.

Methods in Molecular Biology (Clifton, N.J.)

|March 18, 2020

Summary

This summary is machine-generated.

Mouse models are crucial for diabetes research, but outcomes can be affected by intrinsic factors like strain and sex, and extrinsic factors such as husbandry. Careful consideration of these variables is essential for accurate preclinical diabetes studies.

Keywords:

Blood glucose Husbandry Mouse models of diabetes

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Area of Science:

Endocrinology
Preclinical Research
Animal Models

Background:

Mouse models are vital for preclinical diabetes research.
Experimental outcomes can be significantly influenced by various factors.
Blood glucose concentrations, a key endpoint, are particularly sensitive to these influences.

Purpose of the Study:

To highlight critical variables affecting mouse models of diabetes.
To guide researchers in selecting appropriate models and designing experiments.
To provide methods for assessing diabetes onset and monitoring diabetic mice.

Main Methods:

Review of intrinsic factors (strain, sex, age) impacting model phenotype.
Analysis of extrinsic factors (husbandry, protocols) influencing experimental results.
Description of methods for diabetes onset assessment and monitoring.

Main Results:

Identified intrinsic and extrinsic variables that can alter diabetes model phenotypes.
Emphasized the susceptibility of blood glucose concentrations to these variables.
Outlined strategies for mitigating the impact of these factors on experimental outcomes.

Conclusions:

Careful selection of mouse models and experimental design are crucial for reliable diabetes research.
Understanding and controlling influencing variables enhance the validity of preclinical diabetes studies.
Standardized methods for assessment and monitoring improve data consistency in diabetes research.