Document Type : Original Article(s)
Authors
1
PhD Student of Exercise Physiology, Department of Sport Sciences, University of Birjand, Iran
2
Professor of Exercise Physiology, Department of Sport Sciences, University of Birjand, Iran
3
Associate Professor, Department of Physiology, Zahedan University of Medical Sciences, Zahedan, Iran
4
Assistant Professor, Department of Physical Education and Sport Sciences, School of Human Sciences, University of Zabol, Zabol, Iran
Abstract
Background: Gestational diabetes mellitus (GDM) is one of the most common metabolic diseases in pregnant women. Its early diagnosis seems to have a significant impact on the developing fetus, the course of delivery, and the neonatal period. This study aims to present the potential and significance of Galectin3 (GAL3) in the pathogenesis of GDM.
Methods: Sixty female Wistar rats (weighting 220 ± 10g) were randomly assigned into six groups: control (Ctr) group, control+continuous aerobic training (Ctr+CON) group, control+intermittent aerobic training (Ctr+INT) group, gestational diabetes mellitus (GDM) group, GDM+continuous aerobic training (GDM+CON) group, GDM+intermittent aerobic training (GDM+INT) group. Exercise groups underwent treadmill exercise during pregnancy. Levels of insulin resistance and galectin3 were measured.
Findings: Serum galectin3 concentration in the GDM group was significantly higher than Ctr. On the other hand, the galectin3 level in the GDM+CON and GDM+INT groups was considerably lower than in the GDM group. The weight of the GDM group was significantly higher than the Ctr and training groups on the 20th day of gestation. Insulin resistance levels in the GDM+CON and GDM+INT groups were significantly lower than in the GDM group.
Conclusion: The study results demonstrate that both continuous and intermittent training effectively improved GDM. However, there was no statistically significant difference between the two training models. In addition, a significant positive correlation was found between galectin3 and GDM. It may be used as a potential factor to predict the development of GDM.
Highlights
Ahmad Arbabi: Google Scholar, PubMed
Mehdi Mogharnasi: Google Scholar, PubMed
Keywords