Abstract 289: Chronic Systemic Insulin Treatment Attenuates Atherosclerotic Lesion Development in Cholesterol-Fed ApoE <sup>-/-</sup> Mice.
Bibliographic record
Abstract
Diabetes mellitus and metabolic syndrome, which are states of insulin resistance, are both well-known to increase the risk of atherosclerosis. However, it is still debated whether this increased risk is due to excess or lack of insulin action. Here, we present evidence that insulin is anti-atherogenic and decreases atherosclerosis independent of its effects on glycemia. ApoE -/- mice were fed a 1.25% (w/w) high cholesterol diet for 1 week pre-treatment then implanted with either control pellets or insulin pellets (0.05U/day which achieves a mild 4-fold elevation of circulating insulin without significantly lowering plasma glucose) subcutaneously for 12 weeks thereafter. At the end of the treatment, the mice were perfused and the aortas were harvested. Using en face Oil-Red O staining, the atherosclerotic plaque in the descending aorta was evaluated by measuring lesion area over total area. Insulin-treated mice (n=7) showed a significant decrease in atherosclerotic plaque (9.0 ± 2%) compared to control (n=11; 17.6 ± 2.5%). There was no significant difference in glycemia between the two groups. Based on our results, insulin is anti-atherogenic in the context of euglycemia.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".