Energy Metabolic Phenotype of the Cardiomyocyte During Development, Differentiation, and Postnatal Maturation
Bibliographic record
Abstract
Dramatic maturational changes occur in cardiac energy metabolism during cardiac development, differentiation, and postnatal growth. These changes in energy metabolism have important impacts on the ability of the cardiomyocyte to proliferate during early cardiac development, as well as when cardiomyocytes terminally differentiate during later development. During early cardiac development, glycolysis is a major source of energy for proliferating cardiomyocytes. As cardiomyocytes mature and become terminally differentiated, mitochondrial oxidative capacity increases, with fatty acid beta-oxidation becoming a major source of energy for the heart. The increase in mitochondrial oxidative capacity seems to coincide with a decrease in the proliferative ability of the cardiomyocyte. The switch from glycolysis to mitochondrial oxidative metabolism during cardiac development includes both alterations in the transcriptional control and acute alterations in the control of each pathway. Interestingly, if a hypertrophic stress is placed on the adult heart, cardiac energy metabolism switches to a more fetal phenotype, which includes an increase in glycolysis and decrease in mitochondrial fatty acid beta-oxidation. In this article, we review the impact of alterations in energy substrate metabolism on cardiomyocyte proliferation, differentiation, and postnatal maturation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".