Recipes for creating animal models of diabetic cardiovascular disease

Willa Hsueh1, E Dale Abel, Jan L Breslow

  • 1Division of Endocrinology, Diabetes, and Hypertension, The David Geffen School of Medicine, University of California, Los Angeles, CA, USA.

Insights

Researchers developed better mouse models to study diabetic cardiovascular complications like atherosclerosis. Standardized methods and shared data accelerate research into diabetes impacts on heart health.

Area of Science:

  • Cardiovascular Research
  • Diabetology
  • Animal Modeling

Background:

  • Human diabetic cardiovascular complications, including atherosclerosis and dilated cardiomyopathy, are poorly replicated in existing animal models.
  • These complications are leading causes of mortality in diabetic patients.
  • Previous attempts to create accurate animal models have been largely unsuccessful for over 50 years.

Purpose of the Study:

  • To address the lack of suitable animal models for studying diabetic cardiovascular complications.
  • To develop and validate mouse models that accurately reflect human diabetic cardiovascular disease.
  • To standardize methods for assessing metabolic and cardiovascular outcomes in diabetic animal models.

Main Methods:

  • Focused on developing mouse models due to extensive genomic data and genetic manipulation capabilities.
  • Standardized methods for assessing metabolic status and cardiovascular endpoints.
  • Established a system for sharing animal models and phenotypic data.

Main Results:

  • Successfully developed mouse models that exhibit key cardiovascular complications of diabetes.
  • Standardized assessment protocols enable consistent measurement of diabetic complications.
  • A shared resource of models and data is now available to the scientific community.

Conclusions:

  • The developed mouse models and shared resources are crucial for advancing research into diabetic cardiovascular complications.
  • Standardized methodologies improve the reliability and comparability of research findings.
  • Facilitating access to models and data will accelerate the understanding and treatment of diabetes-related heart disease.

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