Uphill running does not exacerbate collagenase-induced pathological changes in the Achilles tendon of rats selectively bred for high-capacity running
Bibliographic record
Abstract
The Achilles tendon is a frequent site for degeneration, and advanced understanding of this pathology requires an animal model that replicates the human condition. The aim of this study was to explore whether intratendinous collagenase injection combined with treadmill running created a pathology in the rat Achilles tendon consistent with human Achilles tendinosis. Collagenase was injected into one Achilles tendon of 88 high-capacity running (HCR) rats, which were randomized into treadmill running and cage control groups. Running animals ran at speeds up to 30 m/min on a treadmill at a 15° incline for up to 1 h/d, 5 d/week for 4 or 10 weeks. Cage control animals maintained cage activity. Collagenase induced molecular, histopathological and mechanical changes within the Achilles tendon at 4 weeks. The mechanical changes persisted at 10 weeks; however, the histopathological and majority of the molecular changes were no longer present at 10 weeks. Treadmill running had minimal effect and did not exacerbate the collagenase-induced changes as there were no statistical interactions between the interventions. These data suggest combined intratendinous collagenase injection and treadmill running does not create pathology within the Achilles tendon of rats selectively bred for HCR that is consistent with human Achilles tendinosis.
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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 | 0.001 | 0.000 |
| 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) | 0.002 | 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".