Continuous inhalation of carbon monoxide attenuates hypoxic pulmonary hypertension development presumably through activation of BK channels
Bibliographic record
Abstract
OBJECTIVE: We tested the hypothesis that inhalation of a low concentration of exogenous carbon monoxide (CO) attenuates the development of hypoxic pulmonary artery hypertension by activation of large-conductance voltage and Ca(2+)-activated K(+) channels (BK(Ca)). METHODS: The BK(Ca) activity was measured using whole-cell and inside-out patch clamp recordings in Wistar rat pulmonary artery (PA) myocytes. Pulmonary artery pressures were measured in vivo and membrane potentials were recorded in vitro in pressurized resistance arteries. RESULTS: Chronic CO inhalation slightly increases single-channel conductance of BK(Ca) channels and induces a large increase in the sensitivity of BK(Ca) channels to Ca(2+) of PA myocytes from normoxic and chronic hypoxic rats. Consequently, BK(Ca) currents are increased and play a more prominent role in controlling resting membrane potential of PA myocytes. Chronic CO inhalation also reduces hemodynamic changes induced by chronic hypoxia and attenuates hypoxic pulmonary artery hypertension. CONCLUSION: Chronic inhalation of CO attenuates hypoxic pulmonary artery hypertension development presumably through activation of BK(Ca) channels. These results highlight the potential use of CO as a novel avenue for research on the treatment of pulmonary artery hypertension (PAHT) in a similar manner to another gasotransmitter, nitric oxide.
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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) | 0.000 | 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 | 0.000 |
| 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".