Mechanisms of airway smooth muscle relaxation during maturation
Bibliographic record
Abstract
Greater airway responsiveness in healthy juveniles is considered a factor in the higher asthma prevalence at a young age compared with adults. We have developed a guinea pig maturational model that utilizes tracheal strips from 1-week-, 3-week-, and 3-month-old guinea pigs to study the role of airway smooth muscle (ASM) in juvenile airway hyperresponsiveness. Because a reduced ability of ASM to spontaneously relax may contribute to airway hyperresponsiveness by maintaining bronchospasm and thus high airway resistance, we have employed this model to study ASM spontaneous relaxation during electrical field stimulation (EFS). Since relaxation during EFS had been neither described nor quantified during maturation, we developed new indices that allowed an appropriate comparison of the relaxing response from strips of different age animals. Using these indices we found that, whereas strips from adult animals relax to a level of tension similar to that found in the absence of stimulation, this ability to spontaneously relax is essentially absent in trachealis from infant animals. These results confirmed that maturation of ASM relaxation may play a role in juvenile airway hyperresponsiveness and that our maturational model is suitable to study the mechanisms regulating spontaneous relaxation in physiological conditions. We investigated the role of prostanoids in ASM relaxation and showed that cyclooxygenase inhibition increases relaxation in infant ASM to levels similar to adults. These results suggest that prostanoids regulate the ability of ASM to spontaneously relax, i.e., they reduce relaxation. We have produced preliminary data suggesting a maturational change in the level of prostanoids. Moreover, the possible action of acetylcholinesterase on maturation of ASM relaxation is discussed here on the basis of a preliminary study. We suggest that impairment of ASM relaxation likely contributes to increased airway responsiveness.
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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 | 0.001 | 0.001 |
| 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".