Inhibition of β-catenin Protects Mouse Hearts From Ventricular Arrhythmias After Myocardial Infarction Independent of Ion Channel Gene Changes
Bibliographic record
Abstract
Abstract The Wnt/β-catenin signaling regulates ion channel gene expressions in cardiomyocytes. Because Wnt/β-catenin signaling is activated in myocardial infarction (MI), this study aims to investigate if β-catenin inhibition affects post-MI ion channel gene alterations and ventricular tachycardias (VT). MI was induced by permanent ligation of left anterior descending artery in wild-type (WT) and cardiomyocyte-specific β-catenin knockout (KO) mice. KO mice showed reduced susceptibility to VT (18% vs. 77% in WT) at week-8 after MI, associated with attenuated structural remodeling (reduced scar size and attenuated left ventricle dilation) as compared to WT. However, at the subacute phase (week-1) and chronic phase (week-8) after MI, Wnt/β-catenin signaling activation was found in non-cardiomyocytes, but not in cardiomyocytes. Downregulations of Scn5a (encoding Nav1.5) and Gja1 (encoding Cx43) were found at week-1 but not at week-8, while downregulations of K+ channel genes were present at both week-1 and -8. Consistent with no activation of Wnt/β-catenin pathway in cardiomyocytes at week-1 and -8, these alterations in ion channel/transporter genes were not different between KO and WT mice. This study demonstrated that mice with cardiomyocyte-specific β-catenin deletion have reduced VT susceptibility after MI which is caused by attenuated structural remodeling, instead of alterations in ion channel gene expressions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".