Sympathetic Fiber Sprouting in Inflamed Joints and Adjacent Skin Contributes to Pain-Related Behavior in Arthritis
Bibliographic record
Abstract
Although chronic pain is the most common symptom of arthritis, relatively little is known about the mechanisms driving it. Recently, a sprouting of autonomic sympathetic fibers into the upper dermis of the skin, an area that is normally devoid of them, was found in the skin following chronic inflammation of the rat hindpaw. While this sprouting only occurred when signs of joint and bone damage were present, it remained to be clarified whether it was a consequence of the chronic inflammation of the skin or of the arthritis and whether it also occurred in the joint. In the present study, we used a model of arthritis in which complete Freund's adjuvant (CFA) was injected into the rat ankle joint. At 4 weeks following CFA treatment, there was an increase in sympathetic and peptidergic fiber density in the ankle joint synovium. We also observed a sympathetic, but not peptidergic, fiber sprouting in the skin over the joint, which may be a consequence of the increased levels of mature nerve growth factor levels in skin, as revealed by Western blot analysis. The pharmacological suppression of sympathetic fiber function with systemic guanethidine significantly decreased the pain-related behavior associated with arthritis. Guanethidine completely suppressed the heat hyperalgesia and attenuated mechanical and cold hypersensitivity. These results suggest that transmitters released from the sprouted sympathetic fibers in the synovial membrane and upper dermis contribute to the pain-related behavior associated with arthritis. Blocking the sympathetic fiber sprouting may provide a novel therapeutic approach to alleviate pain in arthritis.
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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".