Abstract 18956: Loss of Gelsolin Attenuates Pressure Overload Induced Heart Failure: Novel Role of Gelsolin in Cardiac Biomechanical Stress Induced Cytoskeletal Remodeling
Bibliographic record
Abstract
Background: Biomechanical stress and cytoskeletal remodeling are key determinants in pressure-overload induced heart failure. Gelsolin (GSN) is a Ca2+ and polyphosphoinositide 4,5-biphosphate (PIP2)-regulated actin filament severing and capping protein, and is upregulated in failing human hearts and animal models of heart failure (HF). Hypothesis: We hypothesize that loss of gelsolin will attenuate the adverse cytoskeletal remodeling and will lead to increased resistance to the development of HF in response to pressure-overload. Methods and Results: Eight-week old male GSN null (GSNKO) mice and wildtype (WT) littermate control mice were subjected to transverse aortic constriction (TAC) induced pressure-overload. GSN expression was increased in response to 9 wks of pressure-overload in WT mice, which was associated with heart failure with reduced ejection fraction (EF). Loss of gelsolin resulted in preserved systolic function (EF: 54.6±2.07 in GSNKO-TAC vs 39.4±3.04 in WT-TAC; p0.05). Cardiomyocytes from W...
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".