Nobiletin Relaxes Isolated Mesenteric Arteries by Activating the Endothelial Ca<sup>2+</sup>-eNOS Pathway in Rats
Bibliographic record
Abstract
AIMS: Nobiletin, a natural polymethoxylated flavonoid compound, has various beneficial properties, such as anticancer, anti-inflammatory, and antioxidant effects, and it also improves memory. Therefore, we investigated the effects and mechanisms of nobiletin on rat isolated mesenteric arteries (MAs). METHODS: We examined vasodilation induced by nobiletin on rat isolated MA rings with a tension study, the expression and activity of endothelial nitric oxide synthase (eNOS) with Western blotting, NO production with DAF- FMDA fluorescence, and intracellular Ca2+ concentration ([Ca2+]i) with Fluo-3AM. RESULTS AND CONCLUSION: Our study showed that nobiletin elicited a dose-dependent vasodilation in phenylephrine precontracted MA rings, but it did not elicit the same response in pulmonary artery rings. Vasodilation was related to endothelium and activated partly by eNOS. Vasodilation was inhibited by denudation of the endothelium or inhibition of eNOS activity. Nobiletin increased NO production by promoting the phosphorylation of eNOS at Ser-1177 without changing the level of eNOS expression in rat mesenteric artery endothelial cells (RMAECs). Nobiletin increased the concentration of endothelial [Ca2+]i, which enhances eNOS activity in RMAECs. In summary, vasodilation induced by nobiletin was dependent on the endothelium and partly on eNOS activation, which is mediated by high endothelial [Ca2+]i. Results suggest nobiletin may offer a therapeutic benefit and could potentially be used as a vasodilator for the treatment of hypertension.
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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) | 0.002 | 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".