Ralfinamide administered orally before hindpaw neurectomy or postoperatively provided long-lasting suppression of spontaneous neuropathic pain-related behavior in the rat
Bibliographic record
Abstract
Ralfinamide is analgesic when applied as a single dose in rodent models of stimulus-evoked chronic pain. However, it is unknown whether its chronic application after nerve injury can suppress spontaneous chronic pain, the main symptom driving patients to seek treatment. In this study ralfinamide was administered to rats at doses producing plasma levels similar to those causing analgesia in pain patients. The analgesic effect was tested on autotomy, a behavior of self-mutilation of a denervated paw that models spontaneous neuropathic pain. Sprague-Dawley male rats (N=10-20/group) underwent transection of the sciatic and saphenous nerves unilaterally. Ralfinamide or its vehicle were administered per os for 7 days preoperatively (80 mg/kg; bid), followed by the vehicle or Ralfinamide, until postoperative d42. Autotomy was scored daily until d63. Lasting 'preemptive analgesia' was found in rats treated with ralfinamide preoperatively, expressed by delayed autotomy onset (P=0.009) and reduced scores on d63 (P=0.01). Rats treated with ralfinamide (30 or 60 mg/kg; bid) from the operation till d42, but not preoperatively, also showed delayed autotomy (P=0.05, P=0.006), and reduced autotomy scores lasting till d63 (P=0.02, P=0.01), for the two doses, respectively. Combining ralfinamide treatments for 7 days preoperatively and 42 days postoperatively also resulted in significantly suppressed scores on d42 and d63 (P=0.005, P=0.001, respectively). Suppression of neuropathic pain-related behavior was likely caused by a combination of mechanisms reported for ralfinamide, including inhibition of Na+ and Ca++ currents in Nav1.3, Nav1.7, Nav1.8, and Cav2.2 channels in rat DRG neurons, inhibition of substance P release from spinal cord synaptosomes, NMDA receptor antagonism and neuroprotection.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".