Abnormalities in the catabolic fate of long‐chain fatty acids and glucose in compensated murine cardiac hypertrophy
Bibliographic record
Abstract
Reduced oxidative catabolism of fatty acids (FAO) and accelerated rates of non‐oxidative glucose catabolism (NOG) are recognized metabolic abnormalities in genetic and acquired models of cardiac hypertrophy (H) in rats, but are less well characterized in mice. We determined catabolic fates of long‐chain fatty acid (palmitate – P) and glucose (G) in compensated non‐hypertrophied (C) and hypertrophied (H) hearts from sham‐operated and abdominal aortic‐constricted CD1 mice. Hearts were perfused with either 1.2mM P, 5.5mM G, 0.5mM lactate and 20mU/L insulin (Series 1) or 0.6mM P, 5.5mM G, 1.5mM lactate, 0.5mM pyruvate and 20mU/L insulin (Series 2 ‐ reflects in vivo substrate concentrations in mice). No differences in heart function, expressed as cardiac power (ml·mmHg·min −1 ), were observed between C and H in either Series 1 (10.9 ± 0.6 vs. 10.4 ± 0.3) or Series 2 (12.8 ± 0.4 vs. 13.1 ± 0.6). Results: Substrate catabolism in a murine model of acquired compensated H resembles that in models of H in rats. Abnormalities in NOG persist in hearts exposed to a physiologically relevant substrate mixture, even though significant differences in FAO disappear, suggesting that defects in NOG are a key metabolic abnormality occurring early in the development of H.
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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".