Abstract 328: Med13 regulates cardiac metabolism
Bibliographic record
Abstract
Background: The heart is a metabolic organ that primarily utilizes fatty acids as energy substrate. While it is well established that the heart is metabolically flexible, the transcriptional network regulating cardiac metabolism is only partially understood. We have previously demonstrated that cardiac overexpression of Med13, a component of the Mediator Complex that regulates transcription, results in a lean phenotype with enhanced basal metabolic rates. We now investigate the mechanisms contributing to metabolic changes in mice with cardiac over-expression of Med13(Med13cTg). Methods and Results: Cardiac fludeoxyglucose (18F-FDG)-PET imaging analysis revealed that Med13cTg hearts take up more glucose than wild type littermates. To determine pathways responsible for enhanced glucose uptake, ventricles from Med13cTg mice were subjected to RNA-seq and metabolomic analysis. The expression of fatty acid oxidation genes was decreased in Med13cTg hearts, accompanied by an increase in acyl CoA and a decrease in acetyl CoA. These data suggest that beta oxidation is decreased in Med13cTg hearts. Mitochondria function was therefore determined in Med13cTg hearts by performing electron-flow analyses and assessing oxygen consumption rates. Indeed, oxygen consumption rates were decreased in mitochondria isolated from Med13cTg hearts. Expression of Krebs Cycle genes and corresponding intermediary metabolites were also decreased in Med13cTg hearts, suggesting decreased flux through this pathway as well. Conclusions: Overexpression of Med13 in the heart increases glucose uptake and decreases fatty acid oxidation in the heart. We speculate that Med13 transcriptionally regulates key mediators of cardiac metabolism. The mechanisms by which this occurs are currently under investigation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".