Metabolic effects of long‐term consumption of a high fat, high fructose diet in rats
Bibliographic record
Abstract
Background: High fat, high carbohydrate diets are supposedly contributing to the increased prevalence of obesity, diabetes and other metabolic disorders associated with coronary artery disease. We have examined long‐term effects of a defined high fat/high fructose diet on several cardiovascular risk factors in rats. Methods: Male Sprague Dawley rats fed either regular chow (n=5) or a commercial diet containing 10% lard and 60% fructose (n=7) for 20 weeks. Plasma lipids, glucose, insulin and cytokine levels were measured. Body weight, food consumption, water consumption, and systolic blood pressure were recorded. Results: Systolic blood pressure plus serum triglycerides, total cholesterol, and insulin levels were significantly higher in the treated rats, as compared to controls. Body weight and plasma glucose levels were comparable between the groups. Conclusions: Long‐term consumption of diets high in fat and fructose significantly increase several independent cardiovascular risk factors without causing obesity in rats. Longer studies warrant investigation of these changes on development of atherosclerotic lesions. Acknowledgements: Supported by NSERC, CIHR, and the Heart and Stroke Foundation.
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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 | 0.000 | 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".