Ventilation of hypoxic gas results in changes in whole nerve vagal recordings in the newborn rat
Bibliographic record
Abstract
Pulmonary neuroepithelial bodies (NEBs) form clusters of specialized epithelial cells situated within the airway mucosa. They express a unique membrane delimited oxygen (O 2 ) sensor (Nature. 1993; 365(6442):153‐5). NEBs are innervated by afferents within the vagus nerve and synthesize serotonin (5HT) that is released as a neurotransmitter of hypoxia stimulus. NEBs and their vagal afferents express the ionotropic 5HT 3 receptor (5HT 3 ‐R) involved in hypoxia chemotransduction. We hypothesized that hypoxia, via NEB activation, would increase vagal nerve activity. Newborn rat pups between days 1 to 10 were anesthetised, paralyzed (pancuronium 0.25 mg/kg) and mechanically ventilated. Muscarinic receptor blockade was achieved with atropine (0.25 mg/kg). The right cervical vagus was exposed and whole nerve activity was recorded using a platinum bipolar electrode. Ventilation with hypoxic gas (10% O 2 ) caused an increase (P<0.001 ANOVA) in the integrated nerve activity (8.66 ± 4.96 %) compared to control (100% O 2 ). Preliminary studies using the 5HT 3 ‐R blocker (ICS 205‐930) resulted in a partial inhibition of the hypoxia‐induced increase in whole nerve vagal activity. We conclude that ventilation with hypoxic gas resulted in gross changes in integrated vagal nerve activity. We propose that these gross changes in global vagal activity as a result of ventilation with 10% O 2 are the result of NEB stimulation via its membrane bound oxygen‐sensor. (Supported by CIHR Grants MOP‐12742 and MPG‐15270)
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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 | 0.001 |
| 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".