Topically-administered acetyl-L-carnitine increases sciatic nerve regeneration and improves functional recovery after tubulization of transected short nerve gaps
Bibliographic record
Abstract
BACKGROUND: Peripheral nerve injuries repair is still among the most challenging and concern-raising tasks in neurosurgery. The effect of an acetyl-L-carnitin-loaded silicone tube as an in-situ delivery system in defects bridging was studied using a rat sciatic nerve regeneration model. METHODS: A 10-mm sciatic nerve defect was bridged using a silicone tube (SIL/ALC) filled with 10 µL acetyl-L-carnitine (100 ng/mL). In the control group (SIL), the tube was filled with the same volume of the phosphate-buffered solution. The regenerated fibers were studied 4, 8, 12 and 16 weeks after surgery. RESULTS: The functional study confirmed faster recovery of the regenerated axons in acetyl-L-carnitine treated than control group (P<0.05). The mean ratios of gastrocnemius muscles weight were measured. There was a statistically significant difference between the muscle weight ratios of SIL/ALC and SIL groups (P<0.05). Morphometric indices of regenerated fibers showed that the number and diameter of the myelinated fibers in SIL/ALC were significantly higher than in the control group. In immuohistochemistry, the location of reactions to S-100 in the SIL/ALC group was clearly more positive than in the SIL group. CONCLUSIONS: Acetyl-L-carnitine, when loaded in a silicone tube, can bring to an improvement in functional recovery and quantitative morphometric indices of sciatic nerve.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".