The Effect of High Intensity Interval Training on the Expression of Enolase3, Caveolin 3 Genes and Plasma Levels of SGOT Enzyme in the Cardiac Tissue of Male Rats with Fatty Liver (Steatosis)

• Main Authors: Elham Mirzaeyan, Mania Roozbiani, Hossein Shirvani
• Format: Article
• Language: fas
• Published: Lorestan University of Medical Science 2020-11-01
• Series: Yafteh
• Subjects: enolase3 gene; caveolin3 gene; sgot enzyme; hiit exercise
• Online Access: http://yafte.lums.ac.ir/article-1-2996-en.html

Background: High intensity interval training (HIIT) is a kind of exercise training that suggested for individuals with any sufficient time for regular training.  The aim of this study was to evaluate the effect of a period of intense intermittent training on the expression of 3 enolase, 3 caveolin genes and plasma levels of SGOT enzyme in the cardiac tissue of male rats with fatty liver (steatosis model) Materials and Methods: The statistical sample consisted of 48 male Wistar rats (in2 healthy models with fatty liver) aged 5 weeks and weighing 200-250 and the same conditions (12:12 darkness and light, temperature 22 ± 2 degrees Celsius (%50-%60) humidity (% 51 humidity) were kept in cages. Gene expression was assessed using Real Time PCR and SGOT enzyme was assessed using ZiestChem diagnostic kits. Data were analyzed by independent t-test, one-way analysis of variance and Tukeychr('39')s post hoc test and the data were analyzed by SPSS software version 22. Results: According to the results, the expression of Enolase 3 and Caveolin 3 genes and also the expression of SGOT enzyme in the rats of the patient group increased compared to the rats of the healthy group (P <0/05), which according to the level of significance It was significant. Conclusion: It seems that a period of intense intermittent training effects the expression of enolase3, caveolin 3 genes and plasma levels of SGOT enzyme in the cardiac tissue of male rats with fatty liver (steatosis model) and can serve as a marker for the prevention and treatment of diseases. Use cardiovascular, fatty liver, obesity as well as diabetes.