Human nerve growth factor sensitizes masseter muscle nociceptors in female rats
Bibliographic record
Abstract
Injection of nerve growth factor (NGF) into the masseter muscle is not painful but does induce a localized, quick onset ( approximately 1h) and long-lasting mechanical sensitization in healthy human subjects. We tested the hypothesis that human NGF mechanically sensitizes masseter muscle nociceptors by increasing the sensitivity of peripheral N-methyl-d-aspartate (NMDA) receptors. Co-expression of the NR2B subunit of the NMDA receptor with P75 and TrkA NGF receptors by trigeminal ganglion neurons that innervate the masseter muscle was investigated immunohistochemically. Nociceptor activity was recorded extracellularly from the trigeminal ganglion of anaesthetized female rats. Nociceptor mechanical threshold was assessed before and every 30 min for 3h after injection of human NGF (25 microg/ml, 10 microl, n=12), and in subsequent experiments NGF with TrkA (n=12) or P75 (n=11) receptor antibodies. Glutamate (1M, 10 microl) was injected at the end of each experiment. Approximately 85% of NR2B positive masseter ganglion neurons co-expressed P75 or TrkA receptors, suggesting the potential for interaction. When compared with the vehicle control, it was found that injection of NGF into the masseter muscle did not evoke significant nociceptor discharge but did significantly reduce nociceptor mechanical threshold ( approximately 30%). There was no effect of NGF on glutamate-evoked nociceptor discharge or glutamate-induced mechanical sensitization. Additional experiments indicated that NGF-induced mechanical sensitization could be partially attenuated with TrkA receptor antibodies, but not P75 receptor antibodies. These findings indicate that human NGF-induced sensitization of masseter nociceptors results, in part, from the activation of TrkA receptors, but does not appear to be mediated through enhanced peripheral NMDA receptor activity.
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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 | 0.000 | 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".