Satellite Cell Specific p‐STAT3 Signalling in Human Muscle Following Acute Muscle Damage
Bibliographic record
Abstract
Interleukin 6 (IL6) acting through STAT3 is a known signalling cascade active in many cell types. Whether IL6 exclusively signals in satellite cells (SC) following acute myotrauma is unknown. Twelve male subjects (21 ± 2 y; 83 ± 12 kg) preformed 300 maximal muscle‐lengthening contractions of the quadriceps femoris at 180°·s −1 over a 55° range with muscle samples (vastus lateralis) and blood samples (antecubital vein) taken prior to exercise (PRE), 1h (T1), 3hrs (T3) and 24hrs (T24) post‐exercise. Cytosolic and nuclear fractions of muscle biopsies were purified and analyzed for total and p‐STAT3 using western blotting. P‐STAT3 was detected only in cytosolic fractions across the time course peaking at T24 (p<0.01 vs. PRE). Nuclear total and p‐STAT3 was not detected at any time point. However, immunohistochemical analysis revealed a progressive increase in the proportion of SC expressing p‐STAT3 with ~60% of all SC positive for p‐STAT3 at T24 (p<0.001 vs. PRE) and with cMyc, the production of which is regulated by p‐STAT3, detected in SC at T24. Whole muscle mRNA analysis revealed induction of the STAT3 target genes IL6, SOCS3, cMyc (peaking at T3, p<0.05), IL6Rα and GP130 (peaking at T24, p<0.05). Upregulation of these genes coupled with that of Myf5, (T24, p<0.05) with no appreciable change in MRF4, suggests that the IL6/STAT3 axis is active in promoting SC proliferation in the early phase following muscle damage in humans.
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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) | 0.000 | 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 | 0.000 |
| 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".