GSK3 inhibition ameliorates the abnormal contractility of Newfoundland ACM patient iPSC-cardiomyocytes
Bibliographic record
Abstract
Arrhythmogenic Cardiomyopathy (ACM) is clinically characterized by ventricular arrhythmias causing sudden cardiac death and fibrofatty replacement of the myocardium leading to heart failure. One form of ACM is highly prevalent in the Canadian Province of Newfoundland and Labrador (NL) and has earned the moniker, The Newfoundland Curse. This ACM in NL patients is often caused by a fully penetrant heterozygous missense pathogenic variant in the TMEM43 gene (TMEM43 c.1073C>T; TMEM43 p.S358L). Although the causative variant has been identified, little is known about the function of the TMEM43 protein in cardiomyocytes, how the TMEM43 p.S358L mutation contributes to the development of arrhythmias, or why the disease is more severe in males than females. To explore the role of TMEM43 in cardiomyocyte function, we generated induced pluripotent stem cells (iPSCs) from 2 severely affected male Newfoundland ACM (TMEM43 p.S358L) patients. CRISPR-Cas9 was used to genetically repair the heterozygous TMEM43 variant in ACM patient iPSCs or for TMEM43 gene knockout. ACM patient iPSC-cardiomyocytes with the TMEM43 p.S358L variant display pro-arrhythmogenic phenotypes in vitro with significantly elevated contraction rates and altered calcium handling, although no obvious gross abnormalities were observed across several major intracellular organelles. GSK3 inhibition significantly increased protein expression of b-catenin as well as Lamin A/C and ameliorated the pro-arrhythmic tendencies of ACM patient iPSC-CMs.
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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 | 0.000 | 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 | 0.000 |
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".