Antioxidative Properties of Acetylsalicylic Acid on Vascular Tissues From Normotensive and Spontaneously Hypertensive Rats
Bibliographic record
Abstract
BACKGROUND: The mechanisms of the beneficial cardiovascular effects of acetylsalicylic acid (ASA, aspirin) therapy are not completely understood. Oxidative stress and inflammation play important roles in the development of cardiovascular diseases. METHODS AND RESULTS: In this study, we tested the hypothesis that ASA treatment could reduce superoxide anion (O(2)(-)) generation in aortic ring and in cultured aortic smooth muscle cells (SMCs) from normotensive (WKY) and hypertensive (SHRs) rats by means of the Lucigenin-enhanced chemiluminescence method. Although ASA did not show any short-term effect in vitro and in vivo, long-term oral treatment (100 mg/kg/day, 12 days) significantly reduced the basal O(2)(-) production by 27% and 45% in aorta of normotensive and hypertensive rats, respectively, in association with a reduction of the NAD(P)H oxidase activity in both groups. These effects were dose-dependent from 10 to 100 mg/kg/day. Similar effects were observed in SMCs following long-term incubation (48 hours) with ASA. ASA treatment also completely inhibited the angiotensin II-induced hypertension and O(2)(-) production. Moreover, ASA treatment significantly improved the impaired aortic relaxation response to acetylcholine and markedly attenuated the age-dependent development of hypertension in SHRs. CONCLUSION: Long-term ASA treatment in vivo markedly reduced vascular O(2)(-) production through lowering the NAD(P)H oxidase activity in both normotensive and hypertensive rats. These antioxidative properties of ASA are likely involved in the restoration of aortic vasorelaxation, in the attenuation of the development of hypertension in young SHRs, and in the prevention of hypertension following long-term angiotensin II infusion.
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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) | 0.000 | 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".