Exercise, microRNA, Prediabetes
Conditions
Keywords
MiR-126, Exercise, Prediabetes, MicroRNA
Brief summary
This study aims to investigate the effect of a structured exercise program on microRNA-126 (miR-126) expression in individuals with prediabetes.
Detailed description
This study aims to investigate the effect of a structured exercise program on microRNA-126 (miR-126) expression in individuals with prediabetes. The hypothesis of our study is that regular aerobic exercise will increase miR-126 expression. Determining the effect of exercise on miR-126 in individuals with prediabetes will contribute to the elucidation of the pathways through which exercise is effective in prediabetes via epigenetic mechanisms.
Interventions
12 week moderately aerobik exercise
Sponsors
Study design
Eligibility
Inclusion criteria
* Individuals who were newly diagnosed with prediabetes according to the Oral Glucose Tolerance Test (OGTT) and/or HbA1C criteria * between the ages of 18-60 * were physically inactive (Level 1 according to the International Physical Activity Questionnaire) * were motivated to exercise * Individuals who had no obstacle to exercise as a result of the evaluation made by a cardiologist (ECG, exercise ECG test, etc.) * and who did not show a change in body weight of more than ±2.5 kg in the last six months were included in the study.
Exclusion criteria
* presence of serious medical conditions (e.g. advanced cancer, major neurological or endocrine disorders, respiratory failure) * current cardiovascular disease, BMI \<19 kg/m² * history of metformin use within the last 6 months * receiving hormone replacement therapy * life expectancy less than one year * HIV positivity * substance use * or orthopedic and cognitive disorders that may prevent exercise
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Delta CT mir-126 | 1 week | Ct (cycle threshold) values for miR-126 and miR-16-5p were used for analysis. ΔCt and ΔΔCt values were calculated as follows, and expression levels were analyzed using the 2-ΔΔCt method: ∆Ct = Ct (gene of interest) - Ct (housekeeping gene) ΔΔCt = ∆Ct (treated sample) - ∆Ct (untreated sample) Higher ΔCt values indicate lower expression levels. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| BMI | 1 day | The BMI is calculated by dividing an adult's weight in kilograms by their height in metres squared. |
Countries
Turkey (Türkiye)