Beneficial Role of Vitexin and Isovitexin Flavonoids in the Vascular Endothelium and Cardiovascular System
Bibliographic record
Abstract
Various medicinal plants contain phenolic compounds, which are useful in the treatment of many diseases. Particularly, vitexin and its isomer, isovitexin, possess many pharmacological effects, including antioxidant, anti-inflammatory, anticancer, antidiabetic, neuroprotective, and antinociceptive activities. Current research has provided evidence for the prospective use of vitexin and isovitexin in the formulation of medicinal products useful in the prevention and treatment of specific ailments. The aim of this review was, therefore, to examine the influence of vitexin and isovitexin on the vascular system as well as the possible mechanisms through which the flavonoids exert their effects. The review also discussed the importance of vitexin and isovitexin in cardiovascular health through the vascular endothelium. In vivo and in vitro studies suggest that vitexin and isovitexin play a cardioprotective role during ischaemia-reperfusion injury and angiogenesis, while isovitexin decreases perfusion pressure and increases the bioavailability of nitric oxide. Taken together, vitexin and isovitexin are promising as therapeutic agents for the formulation of nutraceuticals for the prevention, management, and treatment of cardiovascular diseases.
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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 | 0.001 | 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) | 0.002 | 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".