Effects of Long Term Exercise on Age‐related changes in Cardiac Fibrosis and Cell Death Profiles
Bibliographic record
Abstract
Aging results in changes to cardiac structure and function but the mechanisms underlying these effects are not well understood. Exercise training appears to have some positive effects on age related functional changes, but the effects of exercise on age‐related structural changes have not been well explored. We characterized cardiac remodeling in response to aging and exercise in male FBN rats, starting with rats age 24 mo and continuing until age 36 mo. Rats were divided into 3 groups; high intensity (H), and moderate intensity (M) treadmill exercise, and sedentary (S). M and H animals trained at 13 m/min for 30 min/day, with the H group at 5% incline. At the end of training, hearts were excised, embedded and sectioned. Sections were stained with H&E and Masson's Trichrome. Cardiac sections were analyzed via immunohistochemistry for autophagy (using an anti‐Becilin antibody) and necrosis (using an anti‐C5b9 antibody). Fibrosis deposition significantly increased with age, but was decreased by exercise training. The number of cells positive for C5b9 and Becilin were significantly higher in aged hearts, but this number was decreased with exercise training. These results show that aging increases fibrosis deposition and markers for autophagy and necrosis. Prolonged endurance exercise training into advanced ages appears to minimize a number of these age‐related changes. Supported by: NIH AG030423
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".