Dietary restriction slightly affects glucose homeostasis and delays plasma cholesterol removal in rabbits with dietary lipid lowering
Bibliographic record
Abstract
Dietary restriction (DR) has been reported to have beneficial effects on atherosclerotic progression as well as lipid and glucose metabolism, but little is known about whether these effects can be enhanced or weakened by dietary lipid lowering. Here, after 12 weeks of high-cholesterol diet feeding, hypercholesterolemic rabbits were fed with either a standard chow diet ad libitum (AL) or a standard chow diet with DR for 16 weeks of dietary lipid lowering. We found that the DR group exhibited a loss of body weight, smaller internal organs, and reduced fat mass, while the AL group accumulated more subcutaneous fat than the baseline group. DR treatment slightly worsened glucose tolerance but enhanced insulin sensitivity, and a slight effect of DR on insulin secretion was also observed. After dietary cholesterol withdrawal, rabbits showed persistent lowering of total cholesterol and triglycerides in plasma. However, the DR group had significantly higher plasma total cholesterol than the AL group at most time points during weeks 7 to 16 of lipid lowering. Although both the AL and DR groups developed more severe atherosclerosis than the baseline group, DR did not improve atherosclerotic progression or the accumulation of macrophages and smooth muscle cells. We conclude that DR affected glucose and lipid metabolism but did not ameliorate atherosclerosis in rabbits when associated with lipid lowering by dietary cholesterol withdrawal.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".