Modelling arrhythmogenic cardiomyopathy fattyfibro pathology with PKP2-deficient epicardial cells derived from human iPSCs
Bibliographic record
Abstract
Arrhythmogenic cardiomyopathy (ACM) is an inherited heart disease marked by progressive fattyfibro replacement of the ventricular myocardium, life-threatening arrhythmias, and sudden cardiac death. To dissect epicardial contributions to ACM pathogenesis, we generated iPSC lines from patients carrying plakophilin 2 (PKP2) 1849C > T or PKP2 2013delC mutations, their CRISPR/Cas9–corrected isogenic controls, and a PKP2 knockout line. Epicardial cells (hPSC-EPCs) differentiated from mutant and knockout backgrounds exhibit enhanced epithelial-to-mesenchymal transition characteristics, increased lipid accumulation, and a pronounced fibrotic phenotype. RNA-seq performed on ACM hPSC-EPCs reveals dysregulation of Wnt, interferon, and Rho GTPase signaling, including an upregulation of insulin growth factor 2 (IGF2) and a key adipogenic transcription factor, CEBPA. Subsequent treatment of control and PKP2KO hPSC-EPCs with recombinant IGF2 enhances CEBPA expression, suggesting that insulin growth factor signaling contributes to ACM fattyfibro remodeling. Arrhythmogenic cardiomyopathy modelling using patient-specific IPSC-derived epicardial cells and the corresponding CRISPR/Cas9-corrected cells reveals signalling pathways related to Wnt, Rho GTPase, and IGF involved in fattyfibro remodelling.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".