Resveratrol attenuates endothelium‐dependent cyclooxygenase‐mediated contractile activity in the carotid artery of spontaneously hypertensive rats (855.6)
Bibliographic record
Abstract
The objective of this study was to determine the chronic and acute effects of resveratrol (RSV) on endothelial function and endothelium‐derived contracting factor (EDCF) signaling using common carotid artery (CCA) isolated from spontaneously hypertensive rats (SHR) and Wistar Kyoto rats (WKY). Acetylcholine (Ach)‐stimulated endothelium‐dependent relaxation in pre‐contracted CCA was impaired in SHR (max. 53±6% vs. 86±6% in WKY) caused by competitive cyclooxygenase (COX)‐mediated contraction at high [Ach]. Chronic (28‐day) treatment in vivo (via drinking water) with a moderate RSV dose (Mod‐RSV, ~0.075 mg/kg/day) was without effect on Ach‐stimulated relaxation, or Ach‐stimulated contraction and associated prostaglandin (PG) production in quiescent CCA, in either strain. In contrast, in SHR but not WKY, a chronic high RSV dose (High‐RSV, ~7.5 mg/kg/day) improved Ach‐stimulated relaxation (max. 99±5% vs. 53±6% in No‐RSV SHR), and attenuated Ach‐stimulated contraction (55±5% vs. 68±5% in No‐RSV SHR) and associated PG production (189±30 vs. 519±93 pg/ml in No‐RSV SHR) (all p<0.05). High‐RSV also reduced mean arterial pressure in SHR (159±6 vs. 176±6 mmHg in No‐RSV SHR; p<0.05). In separate experiments, acute (30 min) in vitro treatment (in‐bath pre‐incubation) with 20µM RSV (RSV‐20µM) nearly abolished Ach‐stimulated contraction and greatly attenuated the associated PG production in SHR and WKY CCA (all p<0.05). Taken altogether, these experiments demonstrate that RSV can reverse endothelial dysfunction caused by EDCF activity by a signaling mechanism predominately involving the attenuation of COX‐derived PG production. Grant Funding Source : Supported by NSERC Canada RGPIN 238342
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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) | 0.001 | 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".