MétaCan
Menu
Back to cohort

Beneficial Role of Vitexin and Isovitexin Flavonoids in the Vascular Endothelium and Cardiovascular System

2020· article· en· W3095182367 on OpenAlexaff
Sharon O. Azubuike-Osu, Ikenna C. Ohanenye, Claus Jacob, Chukwunonso E.C.C. Ejike, Chibuike C. Udenigwe

Bibliographic record

VenueCurrent Nutraceuticals · 2020
Typearticle
Languageen
FieldMedicine
TopicFlavonoids in Medical Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsVitexinIsovitexinEndotheliumMedicineCardiologyPharmacologyChemistryInternal medicineBiochemistryFlavonoid

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.319
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCurrent NutraceuticalsSame topicFlavonoids in Medical ResearchFrench-language works237,207