Myelination of NEB associated vagal afferents in the newborn rat lung
Bibliographic record
Abstract
Pulmonary neuroepithelial bodies (NEBs) are airway chemoreceptors that express a membrane bound oxygen (O 2 ) sensing molecular complex (NADPH oxidase) coupled to an O 2 sensitive K + channel and are innervated by vagal afferents. A gap in the literature exists surrounding the development of myelinated nerves associated with NEBs during the perinatal period. Previous reports have documented NEBs associated with myelinated nerves at day 10 in the rat. Whether myelinated nerves innervating NEBs are observed throughout the NEB population or not has yet to be addressed. We used confocal microscopy with antibodies raised against synaptic vesicle protein (SV2) and myelin basic protein (MBP) to identify NEBs, their vagal afferents and the myelination of their nerve afferents, respectively, in the newborn rat lung. Lungs from newborn rat pups at postnatal day(s) 1 through 21 were studied. Double labeling with SV2 and MBP and analysis by confocal microscopy revealed NEBs negative for MBP prior to day 17 in the rat lung. The relatively large population of NEBs that are present in the perinatal period are not associated with myelinated nerve afferents. The appearance of myelinated nerve fibers in association with NEBs is not a frequent event. NEB numbers and activity is greatest during the prenatal period and decline post‐natally. Our results may support the idea that myelin is not required to support nerve activity originating from NEBs. (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 | 0.001 | 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".