Age-dependent impairment of cardiac function and physical performance in male mice with diet-induced obesity
Bibliographic record
Abstract
Aging in the context of obesity exacerbates the risk of morbidity and mortality related to cardiovascular disease. However, the maladaptive responses in the heart that arise from prolonged obesity and the specific influence of biological age remain somewhat elusive. This study investigated the effects of diet-induced obesity (DIO) and aging on physical performance and cardiovascular function in mice. 22- and 76-week-old male C57BL/6J mice were randomized to 8 weeks of chow or high-fat diet. Body weight was assessed weekly. Body composition was measured at the beginning and the end of the diet treatment. Muscular and cardiac function were evaluated at the end intervention. Aged mice with DIO exhibited faster and greater body weight gain and fat mass accumulation, reduced running distance, and lower aerobic capacity. Aged HFD mice also exhibited increased cardiac lipid accumulation and cardiomyocyte hypertrophy, with no major morphological changes observed in skeletal muscle. Proteomic analysis revealed differential expression of heart proteins associated with metabolic function in young mice, which was not observed in aged mice with DIO. Subsequently, aged mice with DIO developed overt heart failure with reduced ejection fraction, while cardiac function was unaffected by DIO in young mice. In conclusion, young mice with DIO were protected against diet-induced cardiac dysfunction, whereas DIO in aged mice led to heart failure and impaired physical performance. The protective effects observed in younger mice appear to be explained by proteomic-level remodeling of the heart oriented to sustain cardiac function.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".