Flax Lignan Complex Slows Down the Progression of Atherosclerosis in Hyperlipidemic Rabbits
Bibliographic record
Abstract
Flax lignan complex suppresses the development of hypercholesterolemic atherosclerosis. However, it is not known whether flax lignan complex would slow down the progression of hypercholesterolemic atherosclerosis. This study was carried out to determine whether flax lignan complex slows down the progression of already developed atherosclerosis, and whether this effect is associated with reductions in serum lipids and oxidative stress. The studies were conducted in 4 groups of rabbits: group I, regular diet (2 months); group II, 0.25% cholesterol diet (2 months); group III, 0.25% cholesterol diet (4 months); group IV, 0.25% cholesterol diet (2 months) followed by 0.25% cholesterol diet plus flax lignan complex (2 months). Serum lipids and oxidative stress parameters (malondialdehyde, antioxidant reserve, white blood cell chemiluminescence) were measured before and at monthly intervals thereafter on their respective diets. Aortas were removed at the end of the protocol for assessment of atherosclerosis and oxidative stress. Atherosclerosis in group II was associated with hyperlipidemia and increased oxidative stress. Significant areas of the aortic intimal surfaces from group II (37.76% + 7.96%), group III (76.6% + 9.04%), and group IV (52.95% + 10.29%) were covered with atherosclerotic plaques. Group IV rabbits had 40% more atherosclerotic lesions than group II but 31% fewer lesions than group III. The flax lignan complex-induced reduction in the progression of atherosclerosis was associated with reductions in oxidative stress. In conclusion, flax lignan complex was effective in slowing down the progression of atherosclerosis by 31%, and this effect was associated with a reduction in oxidative stress.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".