Absence of full-length dystrophin impairs normal maturation and contraction of cardiomyocytes derived from human-induced pluripotent stem cells
Bibliographic record
Abstract
AIMS: Heart failure invariably affects patients with various forms of muscular dystrophy (MD), but the onset and molecular sequelae of altered structure and function resulting from full-length dystrophin (Dp427) deficiency in MD heart tissue are poorly understood. To better understand the role of dystrophin in cardiomyocyte development and the earliest phase of Duchenne muscular dystrophy (DMD) cardiomyopathy, we studied human cardiomyocytes differentiated from induced pluripotent stem cells (hiPSC-CMs) obtained from the urine of a DMD patient. METHODS AND RESULTS: The contractile properties of patient-specific hiPSC-CMs, with no detectable dystrophin (DMD-CMs with a deletion of exon 50), were compared to CMs containing a CRISPR-Cas9 mediated deletion of a single G base at position 263 of the dystrophin gene (c.263delG-CMs) isogenic to the parental line of hiPSC-CMs from a healthy individual. We hypothesized that the absence of a dystrophin-actin linkage would adversely affect myofibril and cardiomyocyte structure and function. Cardiomyocyte maturation was driven by culturing long-term (80-100 days) on a nanopatterned surface, which resulted in hiPSC-CMs with adult-like dimensions and aligned myofibrils. CONCLUSIONS: Our data demonstrate that lack of Dp427 results in reduced myofibril contractile tension, slower relaxation kinetics, and to Ca2+ handling abnormalities, similar to DMD cells, suggesting either retarded or altered maturation of cardiomyocyte structures associated with these functions. This study offers new insights into the functional consequences of Dp427 deficiency at an early stage of cardiomyocyte development in both patient-derived and CRISPR-generated models of dystrophin deficiency.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".