Neuromuscular activity impairs axonal sprouting in partially denervated muscles by inhibiting bridge formation of perisynaptic Schwann cells
Bibliographic record
Abstract
Following partial denervation of rat hindlimb muscle, terminal Schwann cells extend processes from denervated endplates to induce and guide sprouting from the remaining intact axons. Increased neuromuscular activity significantly reduces motor unit enlargement and sprouting during the acute phase of sprouting. These findings led to the hypothesis that increased neuromuscular activity perturbs formation of Schwann cell bridges and thereby reduces sprouting. Adult rat tibialis anterior (TA) muscles were extensively denervated by avulsion of L4 spinal root and were immediately subjected to normal caged activity or running exercise (8 h daily) for 3, 7, 14, 21, and 28 days. Combined silver/cholinesterase histochemical staining revealed that the progressive reinnervation of denervated endplates by sprouts over a 1 month period in the extensively partially denervated TA muscles was completely abolished by increased neuromuscular activity. Immunohistochemical staining and triple immunofluorescence revealed that the increased neuromuscular activity did not perturb the production of Schwann cell processes, but prevented bridging between Schwann cell processes at innervated and denervated endplates. Our findings suggest that failure of Schwann cell processes to bridge between endplates accounts, at least in part, for the inhibitory effect of increased neuromuscular activity on sprouting.
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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".