The Impact of Dietary Octacosanol on Plasma Lipids and Atherosclerotic Lesion Development in Apo E‐KO Mice
Bibliographic record
Abstract
Background: Some studies have reported beneficial effects of dietary polycosanols on plasma lipids; however, long-term effects have not been determined yet. The aim of this study was to investigate the long-term effects of dietary octacosanol on plasma lipids and atherogenesis in Apo E-KO mice. Methods: Ten- male 4- week old apo E-KO mice were fed a 0.2% (W/W) cholesterol-supplemented diet with (treated group, n=5) or without (control group, n=5) 1% (W/W) octacosanol for 12 weeks. Body weight, plasma lipids and aortic atherosclerotic lesion size were measured in both groups of mice. Results: As compared to the control, octacosanol treatment was associated with significantly (p<0.05) reduced levels of plasma triglycerides and slightly increased levels of total cholesterol in the treated group. However, the extent and severity of aortic atherosclerosis were comparable between the two groups of mice. Conclusions: Our data suggest that dietary octacosanol may reduce plasma triglyceride levels in apo E-KO mice. Studies in other animal models may reveal the potential benefits of dietary octacosanol on progression and/or regression of atherosclerotic lesions. Acknowledgements: Octacosanol was a gift from Sino Pharmaceuticals Corp., Richmond, BC.
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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) | 0.000 | 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 | 0.001 | 0.001 |
| 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".