Severe left ventricular dysfunction following short‐term high fat feeding in a canine model
Bibliographic record
Abstract
This study tested the effects of short‐term high fat feeding on left ventricular function. Experiments were conducted in 4 mongrel dogs at baseline (normal chow: 40/30/30 carb/fat/protein), and after 2 and 6 weeks of high fat feeding (30/50/20 carb/fat/protein). Each condition included an intravenous glucose tolerance test for metabolic assessment, along with cardiac magnetic resonance imaging (cMRI) to evaluate left ventricular (LV) volumes, mass, and myocardial deformation (by tissue tagging). Remarkably, 2‐wk of high fat feeding dramatically worsened (all p<0.05) LV ejection fraction (mean+SD;−11.8+6.6%), circumferential strain (CS,+4.6+1.7%), circumferential strain rate (CSR,+34.7+16.0%/s) and LV torsion (−4.3+2.0°), with no changes in LV mass, heart rate, or glucose tolerance. By week 6, LV end‐diastolic volume significantly increased above baseline (+9.3+7.7 mL), returning ejection fraction closer to its basal level (−3.2+1.9%), while CS, CSR, and torsion remained impaired. Mechanisms responsible for impaired cardiac function from a short period of fat feeding with a modest increase in body weight need to be further elucidated. Support: Heart and Stroke Foundation of Canada (MN), Branco Weiss Fellowship (JB), NIH DK27619, DK 29867.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".