Vitamin B12 Inhibits Progression of Hypercholesterolemia and Atherosclerosis in Rabbits Fed a High Cholesterol Diet
Bibliographic record
Abstract
The present study was undertaken to examine the effect of vitamin B12 on serum cholesterol levels and development of aortic atherosclerosis in New Zealand White male rabbits fed a high cholesterol diet. Twenty rabbits were divided into 4 groups matched for their baseline serum cholesterol values. Groups 1 and 2 received a normal diet, whereas groups 3 and 4 had cholesterol mixed with their chow. After 5 weeks, the serum cholesterol of groups 3 and 4 increased by approximately 12 fold compared to groups 1 and 2. At that point, vitamin B12 was administered in the drinking water (1000 micrograms/l) to rabbits in groups 2 and 4. At week 8, the Vitamin B12 dose was increased to 2400 micrograms/l for group 4. At 12 weeks into the study, rabbits in group 4 (high cholesterol diet plus vitamin B12) had a serum cholesterol level of 919 +/- 270 mg/dl while those of group 3 (high cholesterol diet) had a serum cholesterol level of 1417 +/- 250 mg/dl. At the end of the study, rabbit aortas were excised, fixed, and stained with fat-red-B, a dye for lipid. Comparison of the aortas of rabbits that received the lipid rich diet revealed that animals given additional vitamin B12 had significantly decreased surface area of fat deposition. These data suggest the potential role for vitamin B12 as a safe and inexpensive pharmacological intervention for the modification of the progression of human atherosclerosis.
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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) | 0.001 | 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 | 0.000 | 0.000 |
| 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".