Aβ low threshold mechanoreceptors contribute to sensory abnormalities in fibromyalgia
Bibliographic record
Abstract
Fibromyalgia syndrome (FM) is characterized by widespread pain and fatigue. People living with FM also experience tactile allodynia, cold-evoked pain, paraesthesia and dysaesthesia. There is evidence of small fibre neuropathy and hyperexcitability of nociceptors in FM; however, the presence of other sensory abnormalities suggests involvement of large diameter sensory fibres. The passive transfer of FM IgG to mice causes cold and mechanical hyperalgesia associated with changes in A- and C-nociceptor function. However, whether FM IgG also confers sensitivity to light touch and whether large diameter sensory fibres contribute to symptoms evoked by cold is unknown. Here we demonstrate that the presence of sensory abnormalities such as tingling, correlate with the impact of FM, and that people with FM describe the sensation of cutaneous cooling with neuropathic descriptors such as tingling/pins and needles. We find a causal link between circulating FM IgG and the sensitization of large diameter, Aβ low threshold mechanoreceptors (Aβ-LTMRs) to mechanical and cold stimuli in mice ex vivo and in vivo. In keeping with our experimental observations, a larger proportion of Aβ-LTMRs respond to cold stimulation in people with FM, but in contrast to our results ex vivo, the same fibres display reduced responses to mechanical stimuli. These results expand the pathophysiological role of IgG in FM and will inform future studies of sensory symptoms and pain in people with FM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 teacher head, 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".