Moderate consumption of red wine (cabernet sauvignon) improves ischemia‐induced neovascularization in ApoE‐deficient mice: effect on endothelial progenitor cells and nitric oxide
Bibliographic record
Abstract
Moderate consumption of red wine is associated with a decreased incidence of cardiovascular diseases in populations with relatively high amount of fat in the diet. However, the mechanisms involved in this protective effect are not completely understood. Here we show that moderate consumption of red wine (equivalent to 2 glasses/day in humans) but not ethanol only, improves blood flow recovery by 32% after hindlimb ischemia in hypercholesterolemic ApoE-deficient mice. In ischemic tissues, red wine consumption reduces oxidative stress and increases capillary density by 46%. Endothelial progenitor cells (EPCs) have been shown to have an important role in postnatal neovascularization. We found that the number of EPCs is increased by 60% in ApoE mice exposed to red wine. Moreover, the migratory capacity of EPCs is significantly improved in red wine-drinking mice. The wine used in our study is a cabernet sauvignon from Languedoc-Roussillon, France, which contains a relatively high concentration (4-6 mg/L) of the polyphenolic antioxidant resveratrol. We demonstrate that resveratrol can rescue oxidized low-density lipoprotein (oxLDL)-induced impairment of in vitro angiogenic activities in human umbilical vein endothelial cells (HUVECs). Resveratrol exposure is also associated with increased activation of Akt/eNOS together with a restoration of nitric oxide production in HUVECs exposed to oxLDL. Our study suggests that moderate consumption of red wine improves ischemia-induced neovascularization in high-cholesterol conditions by increasing the number and the functional activities of EPCs and by restoring the Akt-eNOS-NO pathway.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".