Estrogen Influence On Myogenic Satellite Cells Following Downhill Running In Male Rats
Bibliographic record
Abstract
This study examined the effect of estrogen supplementation in rats on myogenic satellite cell quantities in type I and type II muscles following eccentric exercise. Gonad intact adult male rats divided into four groups, estrogen supplemented (25 mg estrogen pellet) control (EC), estrogen supplemented, exercised (EE), sham (no estrogen) control (SC) and sham, exercised (SE). After 1 wk of estrogen exposure the EE and SE animals performed 90 min of intermittent (5 min running/2 minrest) downhill running (−13.5° incline, 17 m/min). 72 hr later exercised (EE and SE) and control (EC and SC) animals were sacrificed and blood samples and soleus and white (superficial) vastus muscles surgically removed. Histochemical sections of soleus and white vastus muscles were examined for myogenic satellite cell content by use of Pax7 antibody and for neutrophil content by use of hematoxylin and eosin (H and E) staining procedures. Downhill running resulted in significant elevations in satellite cells and neutrophils detected in both soleus and white vastus muscle samples (P < 0.01). Interestingly, estrogen supplementation resulted in significantly greater (P < 0.01) post-exercise elevations in satellite cells detected in both soleus and white vastus muscle samples compared to sham (no estrogen) rats. Increases in neutrophils were significantly (P < 0.05) attenuated in estrogen supplemented rats relative to sham in soleus but not in white vastus muscles. Hence, estrogen supplementation in male rats accentuated the 72 hr post-downhill running increase in Pax7 detected myogenic satellite cell number in both soleus and white vastus muscles relative to unsupplemented rats. The mechanisms and physiological consequences of this effect are yet to be determined.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".