Differential impact of type-1 and type-2 diabetes on control of heart rate in mice

Catherine L Stables1, David S Auerbach2, Steven E Whitesall3

  • 1Department of Neurology, University of Michigan, Ann Arbor, MI, USA.

Insights

Diabetic mice exhibit altered heart rate (HR) and heart rate variability (HRV) patterns. Factors like time of day and stress significantly impact these measurements, crucial for understanding cardiac autonomic dysfunction in diabetes.

Area of Science:

  • Cardiovascular Physiology
  • Diabetology
  • Animal Models

Background:

  • Cardiac autonomic dysfunction is a significant diabetes complication, affecting heart rate (HR) and heart rate variability (HRV).
  • Previous animal studies show inconsistent HR/HRV data, potentially due to measurement methods, time of day, and stress levels.
  • Systematic assessment is needed to clarify HR and HRV changes in diabetic models.

Purpose of the Study:

  • To systematically evaluate heart rate (HR) and heart rate variability (HRV) in two common diabetic mouse models.
  • To investigate the influence of time of day and stress on HR and HRV measurements in diabetic mice.

Main Methods:

  • ECG radiotelemetry devices implanted in db/db (type-2 diabetic), STZ-treated db/+ (type-1 diabetic), and control db/+ mice.
  • Analysis of HR and HRV over 24 hours and during treadmill stress testing.
  • Comparison of HR and HRV parameters between diabetic and control groups.

Main Results:

  • Diabetic mice (db/db and STZ-treated) displayed altered circadian HR patterns and blunted HR response to stress.
  • Reduced HRV associated with sympathetic control was observed in db/db mice and partially in STZ-treated mice.
  • Significant differences in HR and HRV were noted depending on the time of day.

Conclusions:

  • Time of day and stress level are critical factors when assessing HR and HRV in diabetic mouse models.
  • db/db mice show altered circadian sympathetic control, while STZ-treated mice exhibit a relative reduction.
  • This study provides essential baseline data and a framework for future research on cardiac autonomic function in diabetes.
Abstract