A high fat/high fructose (HF) diet does not exacerbate the metabolic or cardiac functional consequences induced by diabetes in C57Bl6J mice
Bibliographic record
Abstract
Background & Objectives High fat or high sugar diets are associated with increased risk for coronary heart disease but have not been found to exacerbate cardiac dysfunction in rodent models of heart failure. We thus tested the effect of HF diet in a mouse model of diabetes and its associated cardiac dysfunction. Methods Five‐week‐old C57Bl6J male mice received either standard (Std) or HF diet for 2 weeks, then received multiple injections of either low doses (40 mg/kg) of streptozotocin (STZ) or vehicle (Veh). Results Ten weeks after STZ injections (and compared to Std‐Veh mice), both STZ groups displayed similar (i) fasting plasma glucose and insulin levels, which were respectively increased and decreased (p<0.001) and (ii) cardiac systolic dysfunction, as evidenced by a 8% lower ejection fraction (p<0.05) at echocardiography. However, the increase in plasma levels of ketone bodies, glycated haemoglobin and branched chain amino acids was smaller (p<0.05) in HF‐STZ mice than in Std‐STZ at both 6 and 12 weeks. Likewise, HF‐STZ mice maintained (in contrast to Std‐STZ mice) body weight and epidydymal fat mass as well as Std‐Veh. Conclusion Not only did HF not exacerbate diabetes‐induced cardiac dysfunction, but it even attenuated the systemic metabolic alterations induced by STZ, which may in the long term delay the development of heart failure. (Supported by CIHR & HSFC)
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".