Protein Kinase Cϵ Is Required for Spinal Analgesic Synergy between Delta Opioid and Alpha-2A Adrenergic Receptor Agonist Pairs
Bibliographic record
Abstract
We recently showed that spinal synergistic interactions between δ opioid receptors (δORs) and α2A adrenergic receptors (α2AARs) require protein kinase C (PKC). To identify which PKC isoforms contribute to analgesic synergy, we evaluated the effects of various PKC-isoform-specific peptide inhibitors on synergy between δORs and α2AARs using the tail flick assay of thermal nociception in mice. Only a PKCε inhibitor abolished synergy between a δOR agonist and an α2AAR agonist. We tested a panel of combinations of opioid and adrenergic agonists in PKCε knock-out mice and found that all four combinations of a δOR agonist and an α2AAR agonist required PKCε for antinociceptive synergy. None of the combinations of a μOR agonist with an α2AR agonist required PKCε. Immunohistochemistry confirmed that PKCε could be found in the population of peptidergic primary afferent nociceptors where δORs and α2AARs have been found to extensively colocalize. Immunoreactivity for PKCε was found in the majority of dorsal root ganglion neurons and intensely labeled laminae I and II of the spinal cord dorsal horn. PKCε is widespread in the spinal nociceptive system and in peptidergic primary afferents it appears to be specifically involved in mediating the synergistic interaction between δORs and α2AARs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".