The protective effect of dexmedetomidine on bupivacaine-induced sciatic nerve inflammation is mediated by mast cells
Bibliographic record
Abstract
PURPOSE: This study was designed to assess the correlation between the neuroprotective effect of dexmedetomidine and oxidative stress, neural inflammation and mast cell stability in rats with bupivacaine-induced sciatic nerve toxicity. METHODS: Forty adult Wistar Albino rats, eight rats per group, were used. Saline (0.3 ml of 0.9%), dexmedetomidine (20 µg/kg), 0.5% bupivacaine or 0.5% bupivacaine+dexmedetomidine (20 µg/kg) was injected into the sciatic nerve. A control group of rats received no injection. Fourteen days after injection, the sciatic nerves were harvested and total oxidant status, total anti-oxidant status, paraoxonase-1, galectin-3 and matrix metalloproteinase 2 and 9 levels were measured in the sciatic nerves. In addition, the presence and status of inflammation, edema, and mast cells were evaluated histopathologically. RESULTS: The combination of dexmedetomidine and bupivacaine alleviated oxidative stress. In addition, it decreased matrix metalloproteinase 9 and galectin-3 levels and increased matrix metalloproteinase 2 levels. Moreover, it stabilized recruited mast cells at the injury site; however, it did not significantly decrease inflammation or edema. CONCLUSION: Dexmedetomidine may ameliorate bupivacaine-induced neurotoxicity by modulating mast cell degranulation. The neuroprotective effect of dexmedetomidine may make it a suitable adjuvant agent to local anesthetics in peripheral nerve blocks.
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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".