Analgesic properties of S100A9 C‐terminal domain: a mechanism dependent on calcium channel inhibition
Bibliographic record
Abstract
Calcium-binding protein S100A9 and its C-terminus peptide (mS100A9p) are anti-inflammatory and induce antinociception in rodents. We investigated the mechanisms involved in this effect, and whether they depend or not on the anti-inflammatory properties of mS100A9p. In mice, mS100A9p inhibited thermal and mechanical hyperalgesia and allodynia induced by either carrageenan or formalin, without interfering with paw edema. mS100A9p also inhibited myeloperoxidase activity (MPO), a marker of granulocyte infiltration, induced by carrageenan, but increased MPO after formalin intraplantar injection. The in vivo analgesic properties of mS100A9p were independent of opioid receptor activation. Calcium flux into dorsal root ganglia neurons induced by KCl was inhibited by mS100A9p, suggesting that this protein is able to inhibit signaling, in sensory neurons. The inhibitory effects of mS100A9p on primary afferent signaling were neither due to intracellular calcium store inhibition nor to calcium chelating properties. However, mS100A9p was able to inhibit calcium currents carried by transiently expressed N-type, but not L-type calcium channels, as demonstrated both by gene transfection techniques and electrophysiology. These data demonstrate that mS100A9p interferes with mechanisms involved in nociception, hyperalgesia and calcium signaling in sensory neurons, modulating primary afferent nociceptive signal by inhibiting activation of N-type voltage operated calcium channels.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".