Opioid receptor mechanisms at the hypoglossal motor pool and effects on tongue muscle activity <i>in vivo</i>
Bibliographic record
Abstract
Opioids can modulate breathing and predispose to respiratory depression by actions at various central nervous system sites, but the mechanisms operating at respiratory motor nuclei have not been studied. This study tests the hypotheses that (i) local delivery of the mu-opioid receptor agonist fentanyl into the hypoglossal motor nucleus (HMN) will suppress genioglossus activity in vivo, (ii) a component of this suppression is mediated by opioid-induced acetylcholine release acting at muscarinic receptors, and (iii) delta- and kappa-opioid receptors also modulate genioglossus activity. Seventy-two isoflurane-anaesthetised, tracheotomised, spontaneously breathing rats were studied during microdialysis perfusion into the HMN of (i) fentanyl and naloxone (mu-opioid receptor antagonist), (ii) fentanyl with and without co-application of muscarinic receptor antagonists, and (iii) delta- and kappa-opioid receptor agonists and antagonists. The results showed (i) that fentanyl at the HMN caused a suppression of genioglossus activity (P < 0.001) that reversed with naloxone (P < 0.001), (ii) that neither atropine nor scopolamine affected the fentanyl-induced suppression of genioglossus activity, and (iii) that delta-, but not kappa-, opioid receptor stimulation also suppressed genioglossus activity (P = 0.036 and P = 0.402 respectively). We conclude that mu-opioid receptor stimulation suppresses motor output from a central respiratory motoneuronal pool that activates genioglossus muscle, and this suppression does not involve muscarinic receptor-mediated inhibition. This mu-opioid receptor-induced suppression of tongue muscle activity by effects at the hypoglossal motor pool may underlie the clinical concern regarding adverse upper airway function with mu-opioid analgesics. The inhibitory effects of mu- and delta-opioid receptors at the HMN also indicate an influence of endogenous enkephalins and endorphins in respiratory motor control.
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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) | 0.001 | 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".