Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2010 Sep 22:9:56.
doi: 10.1186/1475-2840-9-56.

Electrocardiographic changes with the onset of diabetes and the impact of aerobic exercise training in the Zucker Diabetic Fatty (ZDF) rat

Affiliations

Electrocardiographic changes with the onset of diabetes and the impact of aerobic exercise training in the Zucker Diabetic Fatty (ZDF) rat

Lisa VanHoose et al. Cardiovasc Diabetol. .

Abstract

Background: Early markers of diabetic autonomic neuropathy (DAN) in an electrocardiogram (ECG) include elevated R wave amplitudes, widening of QTc intervals and decreased heart rate variability (HRV). The severity of DAN has a direct relationship with mortality risk. Aerobic exercise training is a common recommendation for the delay and possible reversal of cardiac dysfunction. Limited research exists on ECG measures for the evaluation of aerobic exercise training in Zucker Diabetic Fatty (ZDF) rat, a model of type 2 diabetes. The objective of this study was to assess whether aerobic exercise training may attenuate diabetes induced ECG changes.

Methods: Male ZDF (obese fa/fa) and control Zucker (lean fa/+) rats were assigned to 4 groups: sedentary control (SC), sedentary diabetic (SD), exercised control (EC) and exercised diabetic (ED). The exercised groups began 7 weeks of treadmill training after the development of diabetes in the ED group. Baseline (prior to the training) and termination measurements included body weight, heart weight, blood glucose and glycated hemoglobin levels and ECG parameters. One way repeated measures ANOVA (group) analyzed within and between subject differences and interactions. Pearson coefficients and descriptive statistics described variable relationships and animal characteristics.

Results: Diabetes caused crucial changes in R wave amplitudes (p < 0.001), heart rate variability (p < 0.01), QT intervals (p < 0.001) and QTc intervals (p < 0.001). R wave amplitude augmentation in SD rats from baseline to termination was ameliorated by exercise, resulting in R wave amplitude changes in ED animals similar to control rats. Aerobic exercise training neither attenuated QT or QTc interval prolongation nor restored decreases in HRV in diabetic rats.

Conclusion: This study revealed alterations in R wave amplitudes, HRV, QT and QTc intervals in ZDF rats. Of these changes, aerobic exercise training was able to correct R wave amplitude changes. In addition, exercise has beneficial effect in this diabetic rat model in regards to ECG correlates of left ventricular mass.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Weekly mean body weight measurements. Data are means ± SEs for each group with n = 12 for sedentary diabetic (SD) and exercised control (EC); and n = 10 for sedentary control (SC) and exercise diabetic (ED) rats.
Figure 2
Figure 2
Mean R wave amplitude changes. Data are means ± SEs for each group with n = 12 for sedentary diabetic (SD) and exercised control (EC); and n = 10 for sedentary control (SC) and exercise diabetic (ED) rats. Statistical significance with p ≤ 0.05; aSC vs SD, bSD vs ED and fSD vs EC.
Figure 3
Figure 3
Mean T wave amplitudes. Data are means ± SEs for each group with n = 12 for sedentary diabetic (SD) and exercised control (EC); and n = 10 for sedentary control (SC) and exercise diabetic (ED) rats. Statistical significance with p ≤ 0.05; bSD vs ED.
Figure 4
Figure 4
Mean P wave amplitudes. Data are means ± SEs for each group with n = 12 for sedentary diabetic (SD) and exercised control (EC); and n = 10 for sedentary control (SC) and exercise diabetic (ED) rats. Statistical significance (p < 0.001) between baseline and termination values was found in all four animal groups.

Similar articles

Cited by

References

    1. Gorodeski EZ, Ishwaran H, Blackstone EH, Lauer MS. Quantitative electrocardiographic measures and long-term mortality in exercise test patients with clinically normal resting electrocardiograms. Am Heart J. 2009;158(1):61–70. doi: 10.1016/j.ahj.2009.04.015. - DOI - PMC - PubMed
    1. Cardoso CR, Salles GF, Deccache W. QTc interval prolongation is a predictor of future strokes in patients with type 2 diabetes mellitus. Stroke. 2003;34(9):2187–2194. doi: 10.1161/01.STR.0000085084.15144.66. - DOI - PubMed
    1. Christensen PK, Gall MA, Major-Pedersen A, Sato A, Rossing P, Breum L, Pietersen A, Kastrup J, Parving HH. QTc interval length and QT dispersion as predictors of mortality in patients with non-insulin-dependent diabetes. Scand J Clin Lab Invest. 2000;60(4):323–332. doi: 10.1080/003655100750046486. - DOI - PubMed
    1. Mathur C, Gupta D. QTc prolongation in diabetes mellitus-An indicator of cardiac autonomic neuropathy. Journal, Indian Academy Clinical Medicine. 2006;7(2):130–132.
    1. Schroeder EB, Chambless LE, Liao D, Prineas RJ, Evans GW, Rosamond WD, Heiss G. Diabetes, glucose, insulin, and heart rate variability: the Atherosclerosis Risk in Communities (ARIC) study. Diabetes Care. 2005;28(3):668–674. doi: 10.2337/diacare.28.3.668. - DOI - PubMed

Publication types

MeSH terms