Mechanisms of Pathogenicity of Hypertrophic Cardiomyopathy-Associated Troponin T (TNNT2) Variant R278C <sup>+/-</sup> During Development
Bibliographic record
Abstract
Abstract Hypertrophic cardiomyopathy (HCM) is one of the most common heritable cardiovascular diseases and variants of TNNT2 (cardiac troponin T) are linked to increased risk of sudden cardiac arrest despite causing limited hypertrophy. In this study, a TNNT2 variant, R278C +/- , was generated in both human cardiac recombinant/reconstituted thin filaments (hcRTF) and human-induced pluripotent stem cells (hiPSCs) to investigate the mechanisms by which the R278C +/- variant affects cardiomyocytes at the proteomic and functional levels. The results of proteomics analysis showed a significant upregulation of markers of cardiac hypertrophy and remodeling in R278C +/- vs. the isogenic control. Functional measurements showed that R278C +/- variant enhances the myofilament sensitivity to Ca 2+ , increases the kinetics of contraction, and causes arrhythmia at frequencies >75 bpm. This study uniquely shows the profound impact of the TNNT2 R278C +/- variant on the cardiomyocyte proteomic profile, cardiac electrical and contractile function in the early stages of cardiac development. Translational Perspective Hypertrophic cardiomyopathy (HCM) is the leading known cause of sudden cardiac arrest in the young. Thin-variant associated HCM variants make up to 15% of familial HCM yet their molecular mechanisms remain less clear relative to thick filament variants. Here, we employ computational modeling, human cardiac recombinant/reconstituted thin filaments (hcRTF), and hiPSC-CMs to study the thin filament TNNT2 R278C +/- variant, revealing its extensive pathogenicity and potential mechanisms by which it can lead to HCM and sudden death. Mavacamten, the recently FDA-approved treatment, was effective in alleviating contractile dysfunction in TNNT2 R278C +/- hiPSC-CMs, positing it as a potential therapy for thin filament HCM. Graphical Abstract
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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".