Peripheral nerve injury induces DOR trafficking to cell surface in dorsal horn neurons
Bibliographic record
Abstract
Neuropathic (NP) pain remains a significant challenge for clinicians as it is typically refractory to traditional analgesics. However, research in ours and other laboratories increasingly suggests a therapeutic role of delta opioid receptor (DOR) agonists in treating NP pain. Spinal administration of a selective DOR agonist, attenuated nerve injury‐induced allodynia and hyperalgesia with enhanced antinociceptive effects in NP rats compared with controls. This functional enhancement was not due to increased DOR biosynthesis, as DOR protein did not change. In the present study, we examined DOR subcellular localization by electron microscopy immunohistochemistry to determine whether NP injury produces a redistribution of DORs from internal stores to the cell surface. Quantification of immunopositive dendrites in the dorsal horn revealed a bilateral increase in plasma membrane‐associated DORs within lamina V neurons of NP rats compared to shams. The recruitment of DORs to neuronal plasma membranes may represent a compensatory mechanism by which neurons may sustain an inhibitory tone during chronic pain states, and in turn, indicate a viable drug target. (CIHR, J.P. Bickell Foundation, CFI/OIT, CRC)
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".