Heritable pathologic cardiac hypertrophy in adulthood is preceded by neonatal cardiac growth restriction
Bibliographic record
Abstract
The identification of genetic factors influencing cardiac growth independently of increased load is crucial to an understanding of the molecular and cellular basis of pathological cardiac hypertrophy. The central aim of this investigation was to determine how pathological hypertrophy in the adult can be linked with disturbances in cardiomyocyte growth and viability in early neonatal development. The hypertrophic heart rat (HHR) model is derived from the spontaneously hypertensive rat and exhibits marked cardiac hypertrophy, in the absence of a pressure load at maturity. Hearts were harvested from male HHR, and control strain normal heart rats (NHR), at different stages of postnatal development [neonatal (P2), 4 wk, 6 wk, 8 wk, 12 wk, 20 wk]. Isolated neonatal cardiomyocytes were prepared to evaluate cell size, number, and binucleation. At postnatal day 2, HHR hearts were considerably smaller than control NHR (4.3 +/- 0.2 vs. 5.0 +/- 0.1 mg/g, P < 0.05). Cardiac growth restriction in the neonatal HHR was associated with reduced myocyte size (length and width) and an increased proportion of binucleated cardiomyocytes. Furthermore, the number of cardiomyocytes isolated from HHR neonatal hearts was significantly less ( approximately 29%) than NHR. We also observe that growth stress in the neonate is associated with accentuated PI3K and suppressed MAPK activation, although these signaling pathways are normalized in the adult heart exhibiting established hypertrophy. Thus, using the HHR model, we identified novel molecular and cellular mechanisms involving premature exit from the cell cycle, reduced cardiomyocyte endowment, and dysregulated trophic signaling during early development, which are implicated in the etiology of heritable cardiac hypertrophy in the adult.
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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 | 0.000 |
| 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".