The Effect of Acute Eccentric Treadmill Running on NF-κB Activation and HSP72 Content in Skeletal Muscle from Late Middle-aged Rats
Bibliographic record
Abstract
Eccentric exercise causes skeletal muscle damage, yet the acute cellular responses post-exercise have yet to be fully elucidated. To better understand the post-exercise response, heat shock protein (HSP) 72 content and nuclear factor-κB (NF-κB) activation where examined in Adult (A; 6 month) and Late middle-aged (LMA; 24 month) Fischer 344xBrown Norway rats. Animals were randomly divided into five groups (n=6): non-exercising controls (C), level (L) or eccentric (ECC) (-16°) running at 16m.m-1 and killed immediately post-exercise (0), 48 hours post-exercise (48). Following ECC, vastus intermedius (VI) from A and LMA showed more damage compared to L exercise. Neither age-group had significantly increased VI HSP72 content compared to C.\nPooled results founded increased HSP72 content in ECC-48 compared to C (p<0.02). NF-κB activation in the VI was lower in LMA (p<0.001) and unchanged in WG when compared to AC.\nThese findings suggest HSP72 is increased following eccentric exercise in the VI.
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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) | 0.003 | 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".