Platelet-activating factor reduces endothelial nitric oxide production: role of acid sphingomyelinase
Bibliographic record
Abstract
Platelet-activating factor (PAF) is a mediator of pulmonary oedema in acute lung injury that increases vascular permeability within minutes, partly through activation of acid sphingomyelinase (ASM). Since caveolae are rich in sphingomyelin and caveolin-1, which block endothelial nitric oxide (NO) synthase (eNOS) by direct binding, we examined the relationship between ASM, caveolin-1 and eNOS activity in the regulation of vascular permeability by PAF. In caveolar fractions from pulmonary vascular endothelial cells (isolated from perfused rat lungs) the abundance of caveolin-1 and eNOS increased rapidly after PAF perfusion. PAF treatment decreased endothelial NO (eNO) formation as assessed by in situ fluorescence microscopy. Restoration of eNO levels with PAPA-NONOate ((Z)-1-[N-(3-ammoniopropyl)-N-(n-propyl)amino]diazen-1-ium-1,2-diolate) mitigated the PAF-induced oedema. PAF treatment increased the ASM activity in caveolar fractions and perfusion with ASM decreased eNO production. Pharmacological inhibition of the ASM pathway with imipramine, D609 or dexamethasone blocked the PAF-induced increase of caveolin-1 and eNOS in caveolae, and the decrease in eNO production and oedema formation. We conclude that PAF causes ASM-dependent enrichment of caveolin-1 in caveolae of endothelial cells, leading to decreased eNO production which contributes to pulmonary oedema formation. These findings suggest rapid reduction in eNO production as a novel mechanism in the regulation of vascular permeability.
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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 | 0.001 |
| 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".