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Record W4401335714 · doi:10.1080/13813455.2024.2387694

Cardiovascular protective effects of cinnamic acid as a natural phenolic acid: a review

2024· review· en· W4401335714 on OpenAlexaff
Leila Safaeian, Mansooreh Asghari-Varzaneh, Seyed-Sadegh Alavi, Mahnaz Halvaei-Varnousfaderani, Ismail Laher

Bibliographic record

VenueArchives of Physiology and Biochemistry · 2024
Typereview
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCinnamic acidChemistryBiochemistryPharmacologyMedicine

Abstract

fetched live from OpenAlex

Phenolic acids derived from plants have beneficial effects on cardiovascular diseases (CVD). Cinnamic acid (CA) is a crucial phenolic acid that can form numerous hydroxycinnamic derivate found in many food groups. We review current data on the cardiovascular pharmacology of CA with a focus on CVD and their risk factors including hyperlipidaemia, obesity, hyperglycaemia, cardiomyopathy and myocardial ischaemia, vascular dysfunction, oxidative stress and inflammation. Both in vivo and in vitro laboratory studies demonstrate the lipid-lowering, anti-obesity, anti-hyperglycemic, cardio-protective and vasorelaxant activities of CA. The protective impacts of CA against CVD occur by inhibiting inflammatory, oxidative, and apoptotic pathways, regulating the genes and enzymes involved in glucose and lipid metabolisms, and promoting vasodilation. This review showed that the most studied and prominent effects of CA are anti-hyperlipidemic and anti-diabetic properties. In conclusion, intake of plant foods rich in CA may reduce CVD risk especially through regulating blood glucose and lipids levels.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.008
GPT teacher head0.280
Teacher spread0.272 · 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.

Study designBench or experimental
Domainnot available
GenreReview

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

Citations14
Published2024
Admission routes1
Has abstractyes

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