Guidelines on models of diabetic heart disease

Lisa C Heather1, Anne D Hafstad2, Ganesh V Halade3

  • 1Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom.

Insights

This review guides researchers in selecting appropriate preclinical models for studying diabetic heart disease. It evaluates animal and in vitro models, detailing their strengths and limitations for understanding diabetes-related cardiovascular complications.

Area of Science:

  • Cardiology
  • Endocrinology
  • Translational Medicine

Background:

  • Diabetes mellitus significantly increases the risk of cardiovascular diseases (CVDs), including diabetic cardiomyopathy, atherosclerosis, myocardial infarction, and heart failure.
  • CVD is the leading cause of mortality in individuals with diabetes, driving intensive research into disease mechanisms and therapeutic impacts.
  • Despite progress, existing preclinical models of diabetes have inherent limitations in fully recapitulating human diabetic heart disease.

Purpose of the Study:

  • To provide guidelines for selecting the most accurate preclinical models that reproduce cardiovascular aspects of human diabetic populations.
  • To critically evaluate the advantages and disadvantages of various diabetes models for studying CVD.
  • To highlight practical challenges and technical considerations in using these models.

Main Methods:

  • Review of preclinical animal models of diabetes, categorized by induction method.
  • Appraisal of models specifically for diabetes-related atherosclerosis and heart failure.
  • Discussion of in vitro models relevant to diabetic heart disease.

Main Results:

  • Identification of specific strengths and weaknesses of diverse animal and in vitro models in mimicking human diabetic cardiovascular conditions.
  • Analysis of how different models represent key aspects of diabetic cardiomyopathy, atherosclerosis, and heart failure.
  • Consideration of practical and technical factors influencing model selection and data interpretation.

Conclusions:

  • Selecting the appropriate preclinical model is crucial for accurately investigating diabetic heart disease and its associated cardiovascular risks.
  • This guideline facilitates informed model selection based on specific research questions, enhancing the translational relevance of findings.
  • A thorough understanding of model limitations is essential for advancing research on diabetes and cardiovascular complications.

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