AMPK and metabolic adaptation by the heart to pressure overload
Bibliographic record
Abstract
Accelerated glycolysis in hypertrophied hearts may be a compensatory response to reduced energy production from long-chain fatty acid oxidation with 5'-AMP-activated protein kinase (AMPK) functioning as a cellular signal. Therefore, we tested the hypothesis that enhanced fatty acid oxidation improves energy status and normalizes AMPK activity and glycolysis in hypertrophied hearts. Glycolysis, fatty acid oxidation, AMPK activity, and energy status were measured in isolated working hypertrophied and control hearts from aortic-constricted and sham-operated male Sprague-Dawley rats. Hearts from halothane (3-4%)-anesthetized rats were perfused with KH solution containing either palmitate, a long-chain fatty acid, or palmitate plus octanoate, a medium-chain fatty acid whose oxidation is not impaired in hypertrophied hearts. Compared with control, fatty acid oxidation was lower in hypertrophied hearts perfused with palmitate, whereas it increased to similar values in both groups with octanoate plus palmitate. Glycolysis was accelerated in palmitate-perfused hypertrophied hearts and was normalized in hypertrophied hearts by the addition of octanoate. AMPK activity was increased three- to sixfold with palmitate alone and was reduced to control values by octanoate plus palmitate. Myocardial energy status improved with the addition of octanoate but did not differ between groups. Our findings, particularly the correspondence between glycolysis and AMPK activity, provide support for the view that activation of AMPK is responsible, in part, for the acceleration of glycolysis in cardiac hypertrophy. Additionally, they indicate myocardial AMPK is activated by energy state-independent mechanisms in response to pressure overload, demonstrating AMPK is more than a sensor of the heart's energy status.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".