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Pathogenesis of Atherosclerosis and Coronary Heart Disease: Epidemiology, Diagnostic Biomarkers and Prevention by Nutraceuticals, Functional Foods, and Plant-Derived Therapies

2024· book-chapter· en· W4393186771 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBENTHAM SCIENCE PUBLISHERS eBooks · 2024
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMedicinal Plants and Bioactive Compounds
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPathogenesisNutraceuticalEpidemiologyMedicineCoronary heart diseaseDiseaseInternal medicinePathology

Abstract

fetched live from OpenAlex

Atherosclerosis is characterized by hardening/narrowing of arteries and reduction of blood flow to vital organs. Animal models and human research show that endothelial dysfunction and plaque development precede the pathogenesis of atherosclerosis, and related coronary heart disease, neurological, and renal disorders. Cardiac CT-scans are used to detect atherosclerosis. Early diagnosis of atherosclerosis reduces mortality, morbidity, and healthcare expenditures. Biomarkers like C-reactive protein, IL-6, IL-8, phospholipase A2, cardiac troponin, MicroRNA, miR-21, and other endothelial inflammation biomarkers are novel targets for monitoring atherosclerosisrelated cardiovascular disorders. Anti-platelet and anti-cholesterol drugs are used in the treatment of atherogenesis and blood vessel clots. However, cholesterol-lowering drugs may cause serious adverse effects. Thus, safe and cost-effective non-pharmacological anti-atherogenic and anticoagulant therapies are urgently needed. Nutraceuticals, functional foods, plant-derived therapies, antioxidant/anti-inflammation, foods/fruits/vegetables, and lifestyle changes (e.g., physical activity, less alcohol, smoking cessation) reduce atherogenesis, diabetes mellitus, obesity, hypertension, LDL, and C-reactive protein in all age groups, especially younger people. Overwhelming evidence suggests that regular physical activity (30 min/day), cessation of cigarette smoking, and consumption of antioxidant nutraceuticals rich in flavonoids and retinoids, fresh vegetables and fruits, omega-3 PUFA, culinary spices, probiotics, Mediterranean-type diet, and “DASH DIET” lower the risk of atherogenesis and cardiovascular diseases. This review summarizes current advances in the diagnosis and management of atherosclerosis and related cardiovascular illnesses with plant-based and wholesome diets, including the Mediterranean diet, DASH DIET, and lifestyle changes. New preventative measures and alternative therapies, including dietary interventions and plant-based foods may be the most cost-effective ways to manage atherosclerosis and cardiovascular illnesses.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.266
Teacher spread0.228 · 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