Prevention and treatment of atherosclerosis with flaxseed -derived compound secoisolariciresinol diglucoside
Bibliographic record
Abstract
Atherosclerosis is the primary cause of coronary artery disease, heart attack, strokes, and peripheral vascular disease. Alternative/complimentary medicines, although are unacceptable by medical community, may be of great help in suppression, slowing of progression and regression of atherosclerosis. Numerous natural products are in use for therapy in spite of lack of evidence. This paper discusses the basic mechanism of atherosclerosis, risk factors for atherosclerosis, and prevention, slowing of progression and regression of atherosclerosis with flaxseed-derived secoisolariciresinol diglucoside (SDG). SDG content of flaxseed varies from 6mg/g to 18 mg/g. Flaxseed is the richest source of SDG. SDG possesses antioxidant, antihypertensive, antidiabetic, hypolipidemic, anti-inflammatory and antiatherogenic activities. SDG content of some commonly used food has been described. SDG in very low dose (15 mg/ kg) suppressed the development of hypercholesterolemic atherosclerosis by 73 % and this effect was associated with reduction in serum total cholesterol, LDL-C, and oxidative stress, and an increase in the levels HDL-C. A summary of the effects of flaxseed and its components on hypercholesterolemic atherosclerosis has been provided. Reduction in hypercholesterolemic atherosclerosis by flaxseed, CDC-flaxseed, flaxseed oil, flax lignan complex and SDG are 46 %, 69 %, 0 %, 34 % and 73 % respectively in dietary cholesterol -induced rabbit model of atherosclerosis. SDG slows the progression of atherosclerosis in animal model. Long-term use of SDG regresses hypercholesterolemic atherosclerosis. It is interesting that regular diet following high cholesterol diet accelerates in this animal model of atherosclerosis. In conclusion SDG suppresses, slow the progression and regresses the atherosclerosis. It could serve as an alternative medicine for the prevention, slowing of progression and regression of atherosclerosis and hence for the treatment of coronary artery disease, stroke and peripheral arterial vascular 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".