Dietary Resveratrol Enhances Dilatory Responses but Does Not Alter eNOS Levels in Aorta of Spontaneously Hypertensive Rats
Bibliographic record
Abstract
Resveratrol is an active compound found in the skins of grapes which may be responsible for the health benefits of moderate red wine consumption. Spontaneously Hypertensive Rats (SHR) were administered resveratrol in drinking water at 0, 0.448, or 4.48 mg/l for 28 days. The low dosage was chosen to mimic moderate red wine consumption. Following treatment, thoracic aorta rings were excised for in‐vitro assessment of vasomotor function. Chronic resveratrol intake significantly improved endothelium‐dependent relaxation to acetylcholine, increasing maximal values to 80.8±5.2% and 80.8±5.0% in low and high dosage groups compared to 60.7±1.4% in controls (P < 0.01). The effects of resveratrol were abolished in the presence of eNOS inhibitor L‐NAME, as there was an elimination of ACh‐induced dilatation in all groups. Resveratrol did not alter the contractile responses to KCl or phenylephrine, or the relaxing effects of sodium nitroprusside. Immunoblots of thoracic aorta revealed no treatments effects on eNOS, superoxide dimutase 1 and 2, or gp91phox. This data indicates that chronic resveratrol treatment at doses which mimic moderate red wine consumption improves endothelium‐dependent dilation in the SHR. Funded by Heart and Stroke Foundation of Ontario
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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) | 0.002 | 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".