Neuromedin <scp>U R</scp>eceptor 2 does not play a role in the development of neuropathic pain following nerve injury in mice
Bibliographic record
Abstract
BACKGROUND: Previous studies have identified neuromedin U receptor 2 (NMUR2) as the subtype mediating the effects of neuromedin U on acute chemo-nociception induced by capsaicin or formalin injection. The aims of this study were to determine whether NMUR2 is required for the development of mechanical hypersensitivity after nerve injury or heat hypersensitivity after inflammation and whether there is a gender difference in the contribution of NMUR2 to nociception. METHODS: Mechanical sensitivity was assessed with von Frey filaments in wild type (WT) and NMUR2-null mice at baseline and following spared tibial nerve (STN) injury. Heat sensitivity was also assessed at baseline and after induction of inflammation with Freund's complete adjuvant (FCA). RESULTS: The response to von Frey filaments at baseline was similar for WT and NMUR2-null mice and for males and females. The response of male NMUR2-null mice was slightly but significantly decreased when exposed to 52 °C but not 58 °C heat stimuli. There was no difference between the stimulus-response curve for WT and NMUR2-null mice 7, 13 and 16 days after nerve injury. Similarly, after FCA-induced inflammation, there was no significant difference in heat hyperalgesia between WT and NMUR2-null mice or male or female mice in responses to temperatures ranging from 44 to 48 °C. CONCLUSIONS: The present data do not support a significant contribution of NMUR2 to the development of hypersensitivity after nerve injury or tissue inflammation, suggesting that pharmacological intervention aimed at the NMUR2 receptor might not be a valuable approach for the treatment of chronic pain.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".