Murine Pulmonary Slowly‐Adapting Receptors (SARs): Putative links to Neuroepithelial Body (NEB) hypoxia chemoreception and the Calcium Sensing Receptor (CaSR)
Bibliographic record
Abstract
Pulmonary SARs are mechanosensitive vagal afferents, which Adriaensen (J Appl Physiol, 2006) proposed to be functionally linked to morphologically‐defined, hypoxia‐sensitive NEBs (Youngson et al. 1993, Nature). Post‐natal NEBs express CaSR (Lembrechts et al. 2013, J Cell Sci), and vagal NEB innervation expresses P2X2 and P2X3 ATP receptors (Brouns et al. 2009, Histochem Cell Biol). We tested in vivo murine SAR responses to quasi‐static inflation (0‐20 cmH 2 O) in: 1) hypoxia (10% O 2 ) 2) absence of CaSR (CaSR / parathyroid hormone double‐knockout mouse, KO) and 3) P2 purinergic receptor blockade (Suramin: 50 mg/kg). SAR mechanosensitivity was defined as action potential frequency ( f ) at tracheal pressures of 5, 10, 15, and 20 cmH 2 O. Hypoxia caused a small but statistically significant increase in f (9.6±2.8% at 20cmH 2 O; P = 0.002, mean±SEM). Loss of CaSR significantly reduced f at all pressures (‐34.9% and ‐39.5% at 15cmH 2 O in hyper‐ and hypoxia, respectively; P < 0.001) with no impact of hypoxia within each genotype. Suramin caused a small but significant reduction in f (‐10.6±1.5% at 20cmH 2 O; P = 0.01). These data suggest that CaSR significantly impacts SAR mechanosensitivity, while purinergic signaling and hypoxia exert modest effects with as yet to be determined physiologic roles. Supported by CIHR MOP81211 (JTF), Spear Endowment for Respiratory Research (Queen's University JTF and RJM), NSERC PostGrad Scholarship (NJD).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".