Bibliographic record
Abstract
Recently there has been a moderate resurgence in the use of flaxseed food. However, the scientific basis of the benefits of flaxseed consumption and which components of flaxseed offer these beneficial effects are not known. Flaxseed contains 32-45% of its mass as oil, of which 51-55% is alpha-linolenic acid (n-3 fatty acids, omega-3 fatty acids). Flaxseed lignan (secoisolariciresinol diglucoside; SDG) is isolated from defatted flaxseed. Flaxseed has been shown to have variable effects on plasma lipids. Serum triglycerides (TG), total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) have been reported to be elevated, lowered or unchanged with flaxseed consumption in rats. In humans, flaxseed lowers serum TC and LDL-C; however, it has no effect on serum high-density lipoprotein-cholesterol (HDL-C) and TG. Flaxseed oil also lowers TG and TC in rats, but the effect is smaller than that of flaxseed. Flaxseed oil in human subjects had no effect on serum TG, TC, LDL-C or HDL-C. Flaxseed with very low alpha-linolenic acid reduced serum TC, LDL-C and the risk ratio, elevated serum TG and very low-density lipoprotein cholesterol (VLDL-C) and had no effect on serum HDL. SDG isolated from defatted flaxseed reduced serum TC, LDL-C and the TC/HDL-C risk ratio. Serum levels of HDL-C, TG and VLDL-C remained unchanged. These results suggest that the hypocholesterolemic effect of flaxseed probably resides in the non-oily part and not in the alpha-linolenic acid. Reductions in hypercholesterolemic atherosclerosis by flaxseed, flaxseed with very low alpha-linolenic acid and SDG were 46%, 69% and 73%, respectively. The antiatherogenic effect of SDG could be due to its antioxidant activity and also its lipid-lowering effect.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".