Remodelling of spinal nociceptive mechanisms in an animal model of monoarthritis
Bibliographic record
Abstract
Intra-articularly injected complete Freund's adjuvant creates in rats a chronic monoarthritis suitable for studying neuronal plasticity and chronic pain. Using such a model, we report electrophysiological and morphological evidence of alterations in somatosensory synaptic function. In arthritic rats, the baseline activity of dorsal spinal cord wide dynamic range or nociceptive-specific neurons was greater than in control animals. Moreover, neuronal responses elicited by an innocuous stimulation with von Frey filaments applied to the arthritic joint were greater in amplitude and produced the afterdischarge that normally characterizes a nociceptive response. In contrast to the response in control animals, passive movement of the arthritic joint produced an increase in the amplitude of the response of these neurons to iontophoretic application of glutamate receptor agonists over a time frame of 10-30 min. This potentiation was blocked by pretreatment with a neurokinin-1 (NK-1) receptor antagonist, suggesting the involvement of substance P. Ultrastructural analysis of the dorsal horn revealed that movement of the arthritic joint also induced NK-1 receptor internalization, indicative of nociception. Morphological examination revealed significantly increased expression of substance P and its receptor within the superficial dorsal horn of monoarthritic animals. These unique functional and chemical changes reflect alterations in both presynaptic and postsynaptic mechanisms in nociceptive transmission at the spinal level. Thus, although treatment of arthritis should obviously target its peripheral aetiology, targeting its central components is a logical therapeutic complementary objective.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".