The angiogenic response to skeletal muscle overload is not dependent on mast cell activation
Bibliographic record
Abstract
OBJECTIVE: To determine if mast cell activation in skeletal muscle contributes to overload-induced angiogenesis. METHODS: Extensor digitorum longus muscle was overloaded through extirpation of the synergist muscle tibialis anterior. Muscles were removed after 1, 2, 4, 7 or 14 days, and mast cell density and degranulation were quantified by histology. The mast cell stabilizer, cromolyn, was administered acutely or chronically to test if mast cell degranulation contributes to overload-induced angiogenesis. Angiogenesis was determined by calculating capillary to muscle Fiber ratio; mast cell density and activation were quantified by histology, MMP-2 levels were assessed by gelatin zymography and VEGF protein levels were assessed by Western blotting. RESULTS: Muscle overload increased mast cell degranulation and total mast cell number within 7 days. Mast cell stabilization with cromolyn attenuated degranulation but did not inhibit the increased mast cell density, MMP-2 activity, VEGF protein levels or the increase in capillary number following muscle overload. CONCLUSIONS: Mast cell degranulation and accumulation precede overload-induced angiogenesis, but mast cell activation is not critical to the angiogenic response following skeletal muscle overload.
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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) | 0.001 | 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".