Bibliographic record
Abstract
BACKGROUND: Suppression of hypercholesterolemic atherosclerosis with vitamin E is associated with reductions in oxidative stress without reductions in serum lipids. The objectives of this study were to determine if (1) vitamin E regresses hypercholesterolemic atherosclerosis; and (2) regression is associated with reductions in serum lipids and aortic oxidative stress. METHODS AND RESULTS: The studies were conducted in 4 groups of rabbits: group I, control, regular diet (2 months); group II, 0.25% cholesterol diet (2 months); group III, 0.25% cholesterol diet (2 months) followed by regular diet (2 months); and group IV, 0.25% cholesterol diet (2 months) followed by regular diet with vitamin E (40 mg/kg body weight/day) (2 months). Blood samples were collected monthly for the measurement of serum lipids and oxidative stress (chemiluminescent activity of white blood cells [WBC-CL]). Aortas were removed at the end of the protocol for assessment of atherosclerotic lesions, and oxidative stress (malondialdehyde [MDA] and CL). Increases in serum lipids in group II were associated with an increase in oxidative stress and development of atherosclerosis. Serum lipids decreased to a similar extent in groups III and IV but the atherosclerotic lesions increased by 63% and 141% compared to group II. Acceleration of atherosclerosis in the rabbits on regular diet with or without vitamin E was associated with practically no change in the oxidative stress. CONCLUSION: These results suggest that (1) regular diet following a high-cholesterol diet decreased oxidative stress but did not induce regression of atherosclerosis; (2) vitamin E did not produce regression; and (3) regular diet with vitamin E following a high-cholesterol diet was not associated with an increase in oxidative stress but produced acceleration of atherosclerosis.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".