Early effects of spinal cord transection on skeletal muscle properties
Bibliographic record
Abstract
Modulation of beta-adrenergic receptor (beta-AR) activity affects muscle mass and could have a role in the reduction of muscle mass observed following spinal cord transection (Tx). The aims of this study were to examine the early acute effects of Tx on muscle mass, total and myofibrillar protein concentrations, cytochrome c oxidase activity, and beta-AR density of skeletal muscle, to ascertain if any change in muscle properties could be related to beta-AR signalling events. Female Sprague-Dawley rats (n = 33; approximately 255 g) were randomly assigned to 4 experimental groups: control 4 d, control 8 d, Tx 4 d, and Tx 8 d. A complete Tx was performed surgically at the T10 cord level. Compared with controls, muscle mass and muscle - body mass ratios decreased significantly following Tx, with no significant change observed in total and myofibrillar protein concentrations. Spinal cord Tx also resulted in a significant decrease in plantaris cytochrome c oxidase activity by 24% at Tx 4 d and 28% at Tx 8 d (p < 0.05). Beta-AR density of the lateral gastrocnemius was unchanged; however, the beta-AR density of the forelimb triceps brachii m. was found to increase after Tx. Our results suggest that changes in muscle mass and cytochrome c oxidase activity rapidly occur after Tx and do not appear to be related to changes in beta-AR density.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".