Inhibition of E2F Abrogates the Development of Cardiac Myocyte Hypertrophy
Bibliographic record
Abstract
Growth of the post-natal mammalian heart occurs primarily by cardiac myocyte hypertrophy. Previously, we and others have shown that a partial re-activation of the cell cycle machinery occurs in myocytes undergoing hypertrophy such that cells progress through the G1/S transition. In this study, we have examined the regulation of the E2F family of transcription factors that are crucial for the G1/S phase transition during normal cardiac development and the development of myocyte hypertrophy in the rat. Thus, mRNA and protein levels of E2F-1, 3, and 4 and DP-1 and DP-2 were down-regulated during development to undetectable levels in adult myocytes. Interestingly, E2F-5 protein levels were substantially up-regulated during development. In contrast, an induction of E2F-1, 3, and 4 and the DP-1 protein was observed during the development of myocyte hypertrophy in neonatal myocytes treated with serum or phenylephrine, whereas the protein levels of E2F-5 were decreased with serum stimulation. E2F activity, as measured by a cyclin E promoter luciferase assay and E2F-DNA binding activity, increased significantly during the development of hypertrophy with serum and phenylephrine compared with non-stimulated cells. Inhibiting E2F activity with a specific peptide that blocks E2F-DP heterodimerization prevented the induction of hypertrophic markers (atrial natriuretic factor and brain natriuretic peptide) in response to serum and phenylephrine, reduced the increase in myocyte size, and inhibited protein synthesis in stimulated cells. Thus, we have shown that the inhibition of E2F function prevents the development of hypertrophy. Targeting E2F function might be a useful approach for treating diseases that cause pathophysiological hypertrophic growth.
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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 | 0.001 |
| 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".