Insulin-Stimulated Cardiac Glucose Oxidation Is Increased in High-Fat Diet–Induced Obese Mice Lacking Malonyl CoA Decarboxylase
Bibliographic record
Abstract
OBJECTIVE: Whereas an impaired ability to oxidize fatty acids is thought to contribute to intracellular lipid accumulation, insulin resistance, and cardiac dysfunction, high rates of fatty acid oxidation could also impair glucose metabolism and function. We therefore determined the effects of diet-induced obesity (DIO) in wild-type (WT) mice and mice deficient for malonyl CoA decarboxylase (MCD(-/-); an enzyme promoting mitochondrial fatty acid oxidation) on insulin-sensitive cardiac glucose oxidation. RESEARCH DESIGN AND METHODS: WT and MCD(-/-) mice were fed a low- or high-fat diet for 12 weeks, and intramyocardial lipid metabolite accumulation was assessed. A parallel feeding study was performed to assess myocardial function and energy metabolism (nanomoles per gram of dry weight per minute) in isolated working hearts (+/- insulin). RESULTS: DIO markedly reduced insulin-stimulated glucose oxidation compared with low fat-fed WT mice (167 +/- 31 vs. 734 +/- 125; P < 0.05). MCD(-/-) mice subjected to DIO displayed a more robust insulin-stimulated glucose oxidation (554 +/- 82 vs. 167 +/- 31; P < 0.05) and less incomplete fatty acid oxidation, evidenced by a decrease in long-chain acylcarnitines compared with WT counterparts. MCD(-/-) mice had long-chain acyl CoAs similar to those of WT mice subjected to DIO but had increased triacylglycerol levels (10.92 +/- 3.72 vs. 3.29 +/- 0.62 mumol/g wet wt; P < 0.05). CONCLUSIONS: DIO does not impair cardiac fatty acid oxidation or function, and there exists disassociation between myocardial lipid accumulation and insulin sensitivity. Our results suggest that MCD deficiency is not detrimental to the heart in obesity.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".