Aspirin-Triggered, Cyclooxygenase-2–Dependent Lipoxin Synthesis Modulates Vascular Tone
Bibliographic record
Abstract
BACKGROUND: Aspirin-triggered production of 15-(R)-epilipoxin A(4) (ATL) has been shown to exert potent antiinflammatory effects and gastric-protective effects, but little is known of its actions on the vasculature. In the present study, we have assessed the contribution of ATL to changes in vascular tone induced by aspirin and have examined the role of nitric oxide (NO) as a mediator of such effects. METHODS AND RESULTS: Intravenous administration of lipoxin A(4) resulted in a short-lived (3 to 4 minutes) reduction in blood pressure (BP; approximately 13 mm Hg at 2.5 microg/kg). Aspirin administered alone resulted in a significant increase in serum ATL and an increase in BP of approximately 10 mm Hg. When ATL synthesis was inhibited by pretreatment with a selective cyclooxygenase-2 inhibitor (celecoxib) or a 5-lipoxygenase inhibitor (zileuton), the aspirin-induced increase in BP was significantly augmented. These agents alone did not affect BP. A lipoxin receptor antagonist, Boc2, also increased the pressor effects of aspirin. Moreover, immunodepletion of neutrophils, a major source of 5-lipoxygenase, resulted in a significant reduction of ATL formation and augmented aspirin's pressor effects. Studies of rat aortic and mesenteric artery ring segments confirmed the vasorelaxant effects of lipoxin A(4) and showed them to be endothelium dependent. CONCLUSIONS: Aspirin-triggered lipoxin synthesis can modulate vascular tone, possibly contributing to changes in regional blood flow during inflammatory reactions, and to the modulation of systemic BP.
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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".