High glucose causes vascular dysfunction through Akt/eNOS pathway: reciprocal modulation by juglone and resveratrol
Bibliographic record
Abstract
Transient elevations in blood glucose level may lead to changes in vascular function. Herein, we investigated the effects of high-glucose or high-fructose challenge, as well as potential influence of juglone or resveratrol on vascular reactivity, Akt/eNOS, and insulin signaling effectors in rat aorta. Aortic segments of rats were incubated with high glucose (30 mmol/L) or high fructose (2 mmol/L) in the absence and presence of juglone (5 μmol/L) or resveratrol (10 μmol/L). Acute high-glucose incubation markedly decreased acetylcholine-induced relaxation, which is further inhibited by juglone, but ameliorated by resveratrol. Incubation with high glucose caused significant reduction in pAkt/total Akt and peNOS/total eNOS ratios, as well as in the expression of some genes involved in insulin signaling. Juglone produced a further impairment, whereas resveratrol resulted in an improvement on the expression profiles of these proteins and genes. Acute exposure of aortic segments to high glucose causes a reduction in acetylcholine-induced relaxation in association with suppression of Akt/eNOS pathway, as well as several genes in insulin signaling pathway. Juglone and resveratrol have opposite actions on vascular relaxation and the above signaling targets. These findings could be relevant for the treatment of hyperglycemia-induced vascular complications.
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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".