Abstract 111: Wnt Signaling Inhibition Rescues Voltage-Gated Na <sup>+</sup> Current in Brugada Syndrome Patient Cardiomyocytes
Bibliographic record
Abstract
Aims: Both inherited arrhythmogenic diseases (such as Brugada Syndrome) and heart failure are associated with reduced voltage-gated Na + current (I Na ) which promotes lethal arrhythmias and sudden deaths. We and others have shown that Wnt/β-catenin signaling (Wnt signaling), which is active in heart disease, inhibits I Na in rat and mouse cardiomyocytes. But whether Wnt signaling regulates I Na in human cardiomyocytes and represents a novel therapeutic target is unknown. This study aims to investigate if Wnt signaling inhibits I Na in human cardiomyocytes, to elucidate the underlying mechanisms, and to test if blocking Wnt signaling can rescue I Na in Brugada Syndrome patient cardiomyocytes. Methods and Results: Cardiomyocytes were differentiated from human induced pluripotent stem cells (hiPSC-CMs) that were derived from healthy volunteers or a Brugada Syndrome patient. Whole-cell patch-clamp technique was used for I Na measurement. Activation of Wnt signaling in healthy hiPSC-CMs led to a 69% reduction in I Na amplitude (peak current at -20 mV: -10.5±2.8 pA/pF, n=9 cells vs. control -33.6±4.1 pA/pF, n=6 cells, p<0.01) by reducing SCN5A mRNA (encoding the pore-forming α subunit of I Na , Na v 1.5). In addition, Wnt signaling also reduced Na v 1.5 glycosylation causing a depolarizing shift of I Na activation curve (a mechanism found in human, but not in rodent, cardiomyocytes). Blocking Wnt signaling in Brugada hiPSC-CMs with shRNA-mediated β-catenin knockdown led to a 13-fold increase in I Na amplitude (p<0.01, n=9 cells), offsetting the fundamental genetic defect. Consistent with increased I Na, blocking Wnt signaling also upregulated SCN5A mRNA and Na v 1.5 protein, without affecting expression of other cardiac ion channels in Brugada hiPSC-CMs. Conclusions: This study demonstrated Wnt-inhibition of human cardiac I Na and, using Brugada Syndrome as an example, demonstrated that blocking Wnt signaling is a novel therapeutic strategy to rescue I Na in heart disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".