Modeling the spectrum of type 2 diabetes in mice

Lili Grieco-St-Pierre1, Myriam P Hoyeck1, Jennifer L Estall2,3

  • 1Department of Biology and Institute of Biochemistry, Carleton University, Ottawa, ON, Canada K1S 5B6.

Endocrinology
|January 13, 2026
PubMed

Insights

Mouse models for type 2 diabetes (T2D) research are crucial but often don't fully represent human T2D heterogeneity. Standardized, sex-inclusive, and age-appropriate phenotyping is needed for better preclinical models and precision medicine in diabetes.

Area of Science:

  • Endocrinology and Metabolism
  • Preclinical Research Models
  • Diabetes Pathophysiology

Background:

  • Type 2 Diabetes (T2D) is a complex metabolic disorder with diverse patient phenotypes.
  • Mouse models are vital for studying T2D mechanisms and developing treatments.
  • Current models often lack clear categorization regarding specific T2D pathophysiological features.

Purpose of the Study:

  • To critically review and categorize existing mouse models of T2D based on redefined subtypes.
  • To assess how well current models recapitulate the spectrum of human T2D clinical presentations.
  • To identify gaps and propose improvements for preclinical T2D research models.

Main Methods:

  • Categorization of T2D mouse models into subtypes: insulin deficiency, insulin resistance (weight-independent), and insulin resistance (weight-associated).
  • Review of onset, severity, and progression of metabolic phenotypes in these models.
  • Comparison of model phenotypes with human T2D clinical manifestations.

Main Results:

  • Existing T2D mouse models do not fully capture the heterogeneity observed in human T2D.
  • Phenotyping data are often incomplete, biased towards young males, and lack standardization.
  • Strategic model combinations and extended phenotyping could improve clinical relevance.

Conclusions:

  • There is an urgent need for standardized, comprehensive phenotyping across both sexes and age groups in T2D mouse models.
  • Utilizing age-appropriate models is crucial for accurately reflecting human T2D pathophysiology.
  • Advancing precision medicine in diabetes research requires better-aligned preclinical models.