Dichloroacetate improves cardiac efficiency after ischemia independent of changes in mitochondrial proton leak
Bibliographic record
Abstract
Dichloroacetate (DCA) is a pyruvate dehydrogenase activator that increases cardiac efficiency during reperfusion of ischemic hearts. We determined whether DCA increases efficiency of mitochondrial ATP production by measuring proton leak in mitochondria from isolated working rat hearts subjected to 30 min of ischemia and 60 min of reperfusion. In untreated hearts, cardiac work and efficiency decreased during reperfusion to 26% and 40% of preischemic values, respectively. Membrane potential was significantly lower in mitochondria from reperfused (175.6 +/- 2.2 mV) versus aerobic (185.8 +/- 3.1 mV) hearts. DCA (1 mM added at reperfusion) improved recovery of cardiac work (1.9-fold) and efficiency (1.5-fold) but had no effect on mitochondrial membrane potential (170.6 +/- 2.9 mV). At the maximal attainable membrane potential, O(2) consumption (nmol O(2) x mg(-1) x min(-1)) did not differ between untreated or DCA-treated hearts (128.3 +/- 7.5 and 120.6 +/- 7.6, respectively) but was significantly greater than aerobic hearts (76.6 +/- 7.6). During reperfusion, DCA increased glucose oxidation 2.5-fold and decreased H(+) production from glucose metabolism to 53% of untreated hearts. Because H(+) production decreases cardiac efficiency, we suggest that DCA increases cardiac efficiency during reperfusion of ischemic hearts by increasing the efficiency of ATP use and not by increasing the efficiency of ATP production.
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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) | 0.001 | 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".