Abstract 260: Systemic Loss of p62 Reduces Pressure Overload Induced Cardiac Hypertrophy, Dysfunction and Apoptosis
Bibliographic record
Abstract
Introduction: p62 is a pleiotropic protein with defined roles in TNFα signaling, protein aggregate formation, and protein degradation processes. Current data suggest that p62 is a stress-response protein, with increased protein levels reported in TAC, MI, I/R, and protein aggregation models of cardiac disease. To date, there has been little study on the gain- or loss- of p62 function in cardiomyocyte/cardiac pathology. Our preliminary data found that adenoviral overexpression of p62 caused cardiomyocyte hypertrophy and cytotoxicity and that p62 was upregulated by pressure-overload stress. Hypothesis: Loss of p62 will be cardioprotective against pressure-overload pathology. Methods: Systemic p62 knockout mice underwent sham or transverse-aortic constriction surgery and were studied longitudinally to 8 weeks post-surgery by echocardiography. Results: Hearts from p62-null mice had significantly preserved cardiac function (%Fractional Shortening) over wild-type controls. p62-deficient mice had significantly less cardiac hypertrophy (heart weight/body weight ratios and myofiber cross-sectional areas) and showed no chamber dilation (LVED) in response to pressure-overload stress, unlike wild-types. Hearts from wild-type mice showed pronounced fibrotic remodeling and induction of apoptosis (TUNEL), while p62 knockouts had significantly less collagen staining and no evidence of apoptotic stimulation. Overexpression of p62 in rat neonatal cardiomyocytes significantly inhibited proteasomal catalytic activities (>50%) and showed increased indices of cardiomyocyte cell death. Conclusion: Our data show that induction of p62 is deleterious in vitro and that loss of p62 imparts cardioprotection against hemodynamic stress in vivo . The beneficial phenotype observed in hearts from p62-deficient mice may be due to p62-dependent mechanisms responsible for proteasomal dysfunction and apoptosis activation.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".