Bronchial epithelium-associated pulmonary arterial muscle relaxation in the rat is absent in the fetus and suppressed by postnatal hypoxia
Bibliographic record
Abstract
We recently reported the existence of a bronchial epithelium-derived relaxing factor (BrEpRF) capable of reducing pulmonary arterial smooth muscle force generation in the newborn rat. We reasoned in this study that BrEpRF has physiological significance in the control of pulmonary vascular tone. We hypothesized that the release and/or activity of this factor can be stimulated and is suppressed prenatally or under hypoxic conditions postnatally. Therefore, we evaluated the pathways stimulated by the BrEpRF in fetal and newborn rat intrapulmonary arteries mounted with their adjacent bronchi in a wire myograph under both normoxic and hypoxic conditions. Under normoxic conditions, BrEpRF release/activation was observed in newborn vessels following methacholine stimulation of M(2) muscarinic receptors, which was mediated via a nitric oxide (NO)-dependent mechanism involving the phosphatidylinositol 3-kinase pathway. Hypoxia suppressed the BrEpRF-dependent modulation of basal and methacholine-induced pulmonary arterial muscle tone in newborn vessels without altering endothelium-dependent or -independent NO-mediated relaxation. In fetal pulmonary arteries studied under normoxic conditions, BrEpRF neither was active under basal conditions nor could it be stimulated with methacholine. We conclude that release/activation of the BrEpRF occurs by an oxygen-dependent mechanism in the newborn and is suppressed during late fetal life. These results suggest that the BrEpRF may be involved in postnatal adaptation of the pulmonary circulation and that its suppression may contribute to hypoxic pulmonary vasoconstriction.
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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 | 0.001 |
| 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".