Endothelin Receptor Blockade Attenuates Lipopolysaccharide-induced Pulmonary Nitric Oxide Production
Bibliographic record
Abstract
Increased nitric oxide (NO) synthesis by the inducible nitric oxide synthase (iNOS) has been shown to contribute to the development of acute lung injury and delayed hypotension in animals injected with bacterial lipopolysaccharides (LPS). Recent evidence indicates that endothelin-1 (ET-1) is also elevated in septic humans and in animals. To assess the contribution of ETs to LPS-induced pulmonary NO production and iNOS expression, we used P1/fl, a 22 amino acid peptide, to selectively antagonize endothelin-A receptors. Anesthetized, mechanically ventilated rats were injected with either saline or LPS (E. coli endotoxin, 20 mg/kg) and studied for 5 h. Two other groups of rats were pretreated 15 min earlier with P1/fl peptide (20 microg/kg). Unlike saline-treated rats, rats injected with LPS showed a progressive decline in arterial pressure and a significant rise in plasma ET concentration and serum nitrite-nitrate level. In the lungs, LPS injection elicited a several-fold rise in lung iNOS activity and exhaled NO concentration and increased lung wet/dry ratio significantly. Pretreatment with P1/fl peptide eliminated the decline in arterial pressure, the rise in lung wet/dry ratio, lung NOS activity, and iNOS protein expression and significantly attenuated the increase in pulmonary exhaled NO production but had no effect on plasma ET concentration. We conclude that activation of ET-A receptors by rising ET-1 concentration enhances NO production and iNOS expression in the respiratory and vascular systems and contributes to both LPS-induced hypotension and acute lung injury.
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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) | 0.001 | 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) | 0.002 | 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".