Fatty Acids Attenuate Insulin Regulation of 5′-AMP–Activated Protein Kinase and Insulin Cardioprotection After Ischemia
Bibliographic record
Abstract
The cardioprotective effect of insulin during ischemia-reperfusion has been associated with stimulation of glucose uptake and glycolysis. Although fatty acids and 5'-AMP activated protein kinase (AMPK) are regulators of glucose metabolism, it is unknown what effect insulin has on postischemic function and AMPK activity in the presence of high levels of fatty acid. Isolated ejecting mouse hearts were perfused with Krebs-Henseleit solution containing 5 mmol x L(-1) glucose and 0, 0.2, or 1.2 mmol x L(-1) palmitate, with or without 100 microU/mL insulin. During aerobic perfusion in the absence of palmitate, insulin stimulated glycolysis by 73% and glucose oxidation by 54%, while inhibiting AMPK activity by 43%. In the presence of 0.2 or 1.2 mmol x L(-1) palmitate, insulin stimulated glycolysis by 111% and 105% and glucose oxidation by 72% and 274% but no longer inhibited AMPK activity. During reperfusion of hearts in the absence of palmitate, insulin increased recovery of cardiac power by 47%. This was associated with a 97% increase in glycolysis and a 160% increase in glucose oxidation. However, in the presence of 1.2 mmol x L(-1) palmitate, insulin now decreased recovery of cardiac power by 42%. During reperfusion, glucose oxidation was inhibited by high fat, but insulin-stimulated glycolysis remained high, resulting in increased proton production. In the absence of fatty acids, insulin blunted the ischemia-induced activation of AMPK, but this effect was lost in the presence of fatty acids. We demonstrate that the cardioprotective effect of insulin and its ability to inhibit AMPK activity are lost in the presence of high concentrations of fatty acids.
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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 | 0.000 | 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) | 0.002 | 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".