EFFECTS OF A CHRONIC EXERCISE TRAINING PROTOCOL ON OXIDATIVE STRESS AND RIGHT VENTRICULAR HYPERTROPHY IN MONOCROTALINE‐TREATED RATS
Bibliographic record
Abstract
1. In the present study, we investigated the effects of exercise training on cardiac hypertrophy and oxidative stress in a monocrotaline (MCT)-induced cor pulmonale model. Male Wistar rats were assigned to one of three groups: sedentary control (SC); sedentary MCT (SM); or trained MCT (TM). 2. Right ventricular hypertrophy (RVH) was induced by a single injection of MCT (60 mg/kg, i.p.). Exercise training consisted of running on a treadmill (five times a week, during Weeks 3, 4 and 5). Systemic oxidative stress was evaluated in erythrocytes by chemiluminescence (CL) and the activity of the anti-oxidant enzymes superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx) and glutathione S-transferase (GST) was determined. 3. At Week 3, MCT-treated animals exhibited RVH, lung congestion, decreased SOD activity and increased CAT activity. Exercise training reduced MCT-induced RVH and increased GST activity. At Week 4, MCT-induced RVH was accompanied by an increase in CL and GST activity. However, in TM animals there was a decrease in CL and augmented SOD activity. At Week 5, there were no survivors in the SM group, whereas GST activity was elevated in TM rats compared with SC rats. There was no difference in GPx activity throughout the experimental protocol between the groups. 4. Taken together, our results indicate that exercise training is able to ameliorate RVH and improve survival, which is associated with a reduction in oxidative stress in MCT-treated rats.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".