Effect of Exercise Training on the Expression of p53 and iNOS in the Cardiac Muscle of Type I Diabetic Rats
Bibliographic record
Abstract
Background: Diabetes is associated with a marked increase in the risk of cardiac diseases, including atherosclerosis, cardiomyopathy, and impaired ventricular function . The ability of exercise to reduce the risk of cardiac troubles has been established, but no studies have examined this link in type 1 diabetes. A randomized, controlled animal study was designed using a standard rat model of type 1 diabetes. The goal of this study was to investigate the expression of P53 and iNOS in cardiac muscle of rat with Alloxan-induced diabetes . Methods: Forty rats were randomized into four groups: sedentary control, exercise control, sedentary or exercised diabetic. Diabetes was induced by alloxan injection. After the development of diabetes, a 4-week treadmill training program was initiated. Cardiac muscle left ventricle was evaluated for the expression of p53 and iNOS using immunohistochemistry. Results: Both levels of iNOS and p53 increased in the heart of diabetic rats. The expression level of p53 increased significantly in the diabetic sedentary group compared to sedentary control groups (P ). Conclusions: Diabetes leads to harmful effects on the cardiac muscle. Exercise training decreases in part the complications of diabetes in the heart of type I diabetes. doi: http://dx.doi.org/10.4021/jem123e
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".