Murine airway slowly‐adapting receptor responses to lung inflation: a role for serotonin? (879.19)
Bibliographic record
Abstract
The mechanical phenotype of murine airway slowly‐adapting receptors (SARs), which are mechanosensitive afferents physiologically characterized by maintained discharge to sustained transmural pressure, is only partially defined. Adriaensen et al. suggest that densely‐innervated pulmonary neuroepithelial bodies (NEBs) are a morphological equivalent of SARs (Adriaensen et al. 2006, J Appl Physiol). Since NEBs release serotonin (5‐HT) in response to stretch in vitro (Pan et al. 2006, Am J Physiol Lung Cell Mol Biol), we characterized the mechanosensitivity of SARs during quasi‐static inflation to 20 cmH 2 O in male C57BL/6 mice and tested the impact of 5‐HT 3 receptor blockade ( i.v. tropisetron , Trop; 4.5mg/kg). SAR ( n =8) discharge frequency ( f ; impulses/s) mechanosensitivity was proportional to tracheal pressure. Trop caused a small (3‐8%) but significant decrease in f vs. control (P=0.005; 2‐way ANOVA‐RM; mean±SEM (imp/s): 5cmH2O ‐ con: 91±13, Trop: 87±13; 10cmH 2 O ‐ con: 153±25, Trop: 143±22; 15cmH 2 O ‐ con: 192±29, Trop: 180±28; 20cmH 2 O ‐ con: 176±14, Trop: 164±15). It remains to be seen whether such a modest reduction in SAR discharge has a physiologic impact on the reflex effects of SAR medullary input. Grant Funding Source : Supported by: CIHR (JTF; MOP81211) & NSERC PostGrad Scholarship (NJD)
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".