Abstract MP125: Branched-chain Keto Acids, Not Branched-chain Amino Acids, Impairs Cardiac Insulin Sensitivity by Disrupting Insulin Signaling in the Mitochondria
Bibliographic record
Abstract
Alterations in branched-chain amino acids (BCAA) oxidation have been linked to the development of cardiac insulin resistance and its negative impact on cardiac function. However, it is not clear if these detrimental effects are due to the accumulation of BCAAs or branched-chain keto acids (BCKAs). It is also unknown how impaired BCAAs oxidation mediates cardiac insulin resistance. To examine this, we specifically deleted mitochondrial branched-chain aminotransferase (BCATm) in the heart to selectively increase in BCAAs and decrease in BCKAs in the heart. BCATm -/- mice had normal cardiac function compared to their wildtype littermates (WT Cre+/+ ). However, there was a significant increase in insulin-stimulated cardiac glucose oxidation rates in BCATm -/- mice, independent of any changes in glucose uptake or glycolytic rates. This enhancement in cardiac insulin sensitivity was associated with an increase in the phosphorylation of Akt and activation of pyruvate dehydrogenase (PDH), the rate-limiting enzyme of glucose oxidation. To determine the impact of reversing these events, we examined the effects of increasing cardiac BCKAs on cardiac insulin sensitivity. We perfused isolated working mice hearts with high levels of BCKAs (α;-keto-isocaproate 80 μM, α;-keto-β;-methylvalorate 100μM, α;-keto-isovalorate 70 μM), levels that can be seen during diabetes and obesity. The BCKAs completely blunted insulin-stimulated glucose oxidation rates. We also found that BCKAs abolished insulin-stimulated mitochondrial translocation of Akt, an effect which was associated with PDH deactivation. We conclude that the accumulation of BCKAs, and not BCAAs, is a major contributor to cardiac insulin resistance via abrogating mitochondrial translocation of Akt.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".