The 5-HT3 receptor facilitates at-level mechanical allodynia following spinal cord injury
Bibliographic record
Abstract
Spinal cord injury (SCI) results in the development of mechanical allodynia immediately rostral to the lesion site, within the dermatome border of normal sensation and sensory loss (at-level mechanical allodynia). We propose that an observed threefold increase in serotonergic fibre immunoreactivity within spinal segments corresponding to these allodynic dermatomes facilitates the maintenance of chronic neuropathic pain via activation of the 5-HT(3) receptor (5-HT(3)-R). Serotonin (5-HT), the non-selective 5-HT(1)/5-HT(2) receptor antagonist, methysergide, the 5-HT(3)-R agonist, m-chlorophenylbiguanide (m-CPBG) or the 5-HT(3)-R antagonist, ondansetron were intrathecally administered five weeks following SCI in rats. Ondansetron produced a robust, long-term reduction of at-level mechanical allodynia, while m-CPBG exacerbated allodynia. Exogenous 5-HT transiently reduced at-level mechanical allodynia. This effect was opposed by methysergide, which enhanced mechanical allodynia. Co-administration of 5-HT and ondansetron produced a short-lasting partial summation of effects, further decreasing mechanical allodynia while co-administration of methysergide attenuated the anti-allodynic effect of ondansetron. Depletion of spinal 5-HT via 5,7-dihydroxytryptamine (5,7-DHT) resulted in decreased at-level mechanical allodynia. The reduction of allodynia by ondansetron was lost following 5,7-DHT administration, suggesting that reduced allodynia following intrathecal ondansetron is via blockade of 5-HT-induced excitation of the 5-HT(3)-R. These results suggest that increased 5-HT fibre density immediately rostral to the SCI lesion site could have transient effects to reduce mechanical allodynia via actions at 5-HT(1) and/or 5-HT(2) receptors. However, the more long-lasting effects of this enhanced serotonergic input may facilitate chronic, at-level allodynia via the 5-HT(3)-R.
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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 | 0.001 |
| 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".