Bridging the gap: a cell and molecular study of muscle after rotator cuff injury (731.12)
Bibliographic record
Abstract
Rotator cuff injury is a debilitating condition that surgical intervention often fails to resolve; failure rates range between 30 ‐ 94%. Muscle from 13 patients (4 females, 9 males; 49 ‐ 65 yrs) with rotator cuff injury was studied at a cellular and molecular level to test the notion that it shows signs of atrophy, with or without features related to denervation with the hope of highlighting possible explanations for surgical failures. Satellite cell response to activation via a nitric oxide donor drug called isosorbide dinitrate (ISDN) was also investigated with the idea that satellite cells could be activated during the conservative management phase to promote muscle growth and repair. Supraspinatus and deltoid muscle biopsies taken during arthroscopic rotator cuff repair were analyzed in pairs for histology and showed muscle atrophy in the affected supraspinatus muscle. There were more small diameter fibres (p<0.005) and a smaller mean fibre diameter (17.9 ± 0.3μm) in supraspinatus vs. control deltoid muscle (21.8 ± 0.3μm & p<0.003). Alpha‐bungarotoxin staining of acetylcholine receptors and western blotting for their gamma and epsilon subunits showed tendencies (p=0.13) to a linear arrangement and increased gamma to epsilon ratio respectively; both are signs of denervation. Response to ISDN showed more mitotically active Pax7+ satellite cells in supraspinatus muscle cultured with ISDN than in untreated supraspinatus or in the deltoid (p<0.03). Results are consistent with the notion that supraspinatus muscle of the injured rotator cuff is atrophic with possible denervation; together these features may increase susceptibility to muscle injury and surgical failure. Results also suggest the potential for the using ISDN to promote muscle growth and increase surgical success. Grant Funding Source : Supported by Canadian Orthopedic Foundation, Pan Am Clinic Foundation & Department of Surgery
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
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".