<i>Trans</i>- but Not <i>Cis</i>-Resveratrol Impairs Angiotensin-II–Mediated Vascular Inflammation through Inhibition of NF-κB Activation and Peroxisome Proliferator-Activated Receptor-γ Upregulation
Bibliographic record
Abstract
Angiotensin II (Ang-II) displays inflammatory activity and is implicated in several cardiovascular disorders. This study evaluates the effect of cis- and trans (t)-resveratrol (RESV) in two in vivo models of vascular inflammation and identifies the cardioprotective mechanisms that underlie them. In vivo, Ang-II-induced arteriolar leukocyte adhesion was inhibited by 71% by t-RESV (2.1 mg/kg, i.v.), but was not affected by cis-RESV. Because estrogens influence the rennin-angiotensin system, chronic treatment with t-RESV (15 mg/kg/day, orally) inhibited ovariectomy-induced arteriolar leukocyte adhesion by 81%, partly through a reduction of cell adhesion molecule (CAM) expression and circulating levels of cytokine-induced neutrophil chemoattractant, MCP-1, and MIP-1alpha. In an in vitro flow chamber system, t-RESV (1-10 microM) undermined the adhesion of human leukocytes under physiological flow to Ang-II-activated human endothelial cells. These effects were accompanied by reductions in monocyte and endothelial CAM expression, chemokine release, phosphorylation of p38 MAPK, and phosphorylation of the p65 subunit of NF-kappaB. Interestingly, t-RESV increased the expression of peroxisome proliferator-activated receptor-gamma in human endothelial and mononuclear cells. These results demonstrate for the first time that the in vivo anti-inflammatory activity of RESV is produced by its t-RESV, which possibly interferes with signaling pathways that cause the upregulation of CAMs and chemokine release. Upregulation of proliferator-activated receptor-gamma also appears to be involved in the cardioprotective effects of t-RESV. In this way, chronic administration of t-RESV may reduce the systemic inflammatory response associated with the activation of the rennin-angiotensin system, thereby decreasing the risk of further cardiovascular disease.
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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) | 0.001 | 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".