Bibliographic record
Abstract
This chapter aims to provide an implicit introduction to the role of miRNAs in regulating cardiac metabolism. The homeostasis of glucose, lipid, protein, and energy, which is critical for normal cardiovascular function, is maintained by cellular metabolism. Metabolic perturbation occurs in various types of cardiac disease, including myocardial ischemia, cardiac hypertrophy, heart failure, diabetic cardiomyopathy, atherosclerosis, etc. The depletion of high-energy-phosphate metabolites may contribute to heart failure, and a decreased PCr/ATP ratio has been found in cardiac muscle of heart failure patients and animal models of heart failure. A major determinant of glycolytic flux is glucose transport; glucose enters cardiac cells via the facilitative glucose transporters GLUT1 and GLUT4. Several miRNAs have been demonstrated to produce regulatory effects on GLUT4, cellular ATP level, and the pleiotropic factor IGF-1. A succinct summary on these studies is given in this chapter.
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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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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".