Pharmacokinetics of vanillin and its effects on mechanical hypersensitivity in a rat model of neuropathic pain
Bibliographic record
Abstract
The analgesic effects of vanillin on neuropathic pain was evaluated using thermal sensitivity and mechanical allodynia using the sciatic nerve constriction model (n = 30 rats). To determine the pharmacokinetics of vanillin, rats (n = 6/administration route) received either 20 or 100 mg/kg of vanillin i.v. and p.o., respectively. For the pharmacodynamic study, baseline levels for hyperalgesia and allodynia were taken for 5 days prior to surgery. Following surgery each group (n = 6 rats/group) received either vanillin (50 mg/kg or 100 mg/kg), morphine (2 mg/kg or 6 mg/kg) or the vehicle only. Pharmacokinetic results following p.o. administrations are C(max) 290.24 ng/mL, T(max) 4 h, relative clearance 62.17 L/h/kg and T(1/2) 10.3 h. The bioavailability is 7.6%. Mechanical allodynia was decreased on treatment days 1, 2, 3, 5 (p < 0.003) and not on day 4 (p > 0.02) with 50 mg/kg vanillin, whereas at 100 mg/kg p.o. a decrease was noted only on days 7 and 8 (p < 0.003). No effect on hyperalgesia was seen following vanillin administration. In conclusion, vanillin is bioavailable and seems to have an alleviating effect on mechanical allodynia, and not on hyperalgesia, when evaluated with a chronic constriction nerve injury rat model of neuropathic pain.
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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".