BIN1 overexpression rescues cardiac but not skeletal muscle defects in a mouse model of caveolinopathy
Bibliographic record
Abstract
ABSTRACT Background Mutations in CAV3 , encoding caveolin-3, cause caveolinopathies, rare genetic disorders affecting both skeletal and cardiac muscle. Caveolin-3 contributes to T-tubule formation and excitation-contraction coupling. BIN1 (amphiphysin 2), a membrane-shaping protein critical for T-tubule integrity, has shown therapeutic promise in congenital myopathies and heart dysfunction. To date, there are no therapy for caveolinopathies. Methods We evaluated the therapeutic impact of BIN1 overexpression in Cav-3 knockout mice, a model recapitulating key features of human caveolinopathy. We assessed skeletal and cardiac function, T-tubule morphology, mitochondria, and gene expression using histological, physiological, and molecular approaches. Results We found Cav-3 -/- mice displayed skeletal muscle weakness, T-tubule disorganization, and mitochondrial abnormalities, alongside cardiac diastolic dysfunction and myofibrillar disarray. While BIN1 overexpression failed to improve skeletal muscle strength, T-tubule structure, or fiber atrophy, it corrected nuclear positioning and partially restored mitochondrial markers. In contrast, BIN1 robustly rescued cardiac performance, restoring end-diastolic volume, cardiac output, and sarcomeric integrity. Expression profiling revealed greater dysregulation of excitation-contraction coupling and atrogene pathways in skeletal than in cardiac muscle. Cavin-4, a BIN1-interacting protein, was selectively dysregulated in Cav3-/- muscle, suggesting a mechanistic barrier to BIN1-mediated rescue in this tissue. Conclusions These findings identify tissue-specific differences in the molecular consequences of caveolin-3 loss and demonstrate that BIN1 overexpression effectively rescues cardiac, but not skeletal, manifestations of caveolinopathy. Our results support BIN1 as a promising gene therapy target for inherited cardiomyopathies, while highlighting the need for alternative strategies in skeletal muscle.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".