TP‐receptor activation potentiates airway stretch‐activated contractions
Bibliographic record
Abstract
A deep inspiration (DI) produces a bronchodilation in healthy individuals. Conversely, in asthmatics, DIs are ineffective in producing bronchodilation, and can even cause bronchoconstriction. Interestingly, the manner by which a DI is able to cause bronchoconstriction via a stretch‐activated contraction (R stretch ) correlates positively with airway inflammation, during which there is increased production of thromboxane A 2 (TxA 2 ) and TP‐receptor activation. In this study we sought to investigate the effect of TP‐receptor activation on airway R stretch in bovine bronchial segments using the Mayflower organ bath as previously reported by our laboratory. R stretch was elicited by varying the transmural pressure under isovolumic conditions. Using a pharmacological approach, we showed a reduced R stretch response in tissues pretreated with indomethacin (Indo), a COX inhibitor; a result mimicked by the TP‐receptor antagonist ICI 192605 and by airway epithelial denudation. U46619, a TP‐receptor agonist elicited enhanced R stretch responses in a dose‐dependent manner. AH6809, an EP 1 /DP‐receptor antagonist and AL 8810, an FP‐receptor antagonist had no effect, suggesting PGE 2 , PGD 2 , and PGF 2 [alpha] are not involved in ASM R stretch . These data suggest a role for the TP‐receptor and epithelial release of TxA 2 in potentiating the effects of airway R stretch . Research Support: CIHR, NSERC
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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 | 0.000 | 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) | 0.003 | 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".