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14 Myocardial sheetlet abnormality as a marker of sarcomere dysfunction in carriers of rare HCM-causing sarcomere gene variants before phenotypic conversion

2024· article· en· W4392648303 on OpenAlex

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aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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Bibliographic record

VenueAbstracts · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsnot available
FundersNational Institutes of HealthUniversity of GlasgowBritish Heart FoundationScottish Government
KeywordsSarcomereHypertrophic cardiomyopathyInternal medicineCardiologyMedicineSudden deathSudden cardiac deathMuscle hypertrophyCardiomyopathyHeart failureMyocyte

Abstract

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<h3>Introduction</h3> Hypertrophic cardiomyopathy (HCM) is a common heritable cardiac muscle disease and a major cause of sudden cardiac death in young adults.<sup>1</sup> It is characterised by unexplained left ventricular hypertrophy (LVH), typically caused by rare gene variants affecting cardiac sarcomere.<sup>2</sup> Genetic screening identifies <b>asymptomatic sarcomere variant carriers before LVH develops, i.e. genotype-positive phenotype-negative G+P-(HCM) subjects</b> who require regular surveillance. However, current phenotyping is limited to the macroscopic scale. Diffusion tensor cardiovascular magnetic resonance (DT-CMR) non-invasively probes the <b>myocardial microstructure</b><i>in vivo,</i><sup>3</sup><b>characterising cardiomyocytes and their functional units (sheetlets)</b> and can provide new insights into the pathophysiology of HCM. We aimed to investigate if DT-CMR can detect abnormal myocardial microstructure in G+P-(HCM) subjects before phenotypic conversion. <h3>Materials and Methods</h3> <i>In-vivo</i> DT-CMR of mid-LV short axis slice was performed using stimulated echo acquisition mode sequence on a 3T Vida scanner<sup>3</sup> in G+P-(HCM) patients and healthy volunteers (HVOL). <b>G+P-(HCM) patients carried a HCM-causing sarcomere variant confirmed by Sanger sequencing and had maximal LV wall thickness (LVWT) &lt;13 mm on CMR</b>. This study was ethically approved (13/LO/1830). <h3>Results</h3> 25 G+P-(HCM) were matched with 20 HVOL for age and gender. There was no difference between the cohorts in the LVWT at the imaged by DT-CMR slice, LV volumes, mass, ejection fraction, systolic strain, native T1 and T2 values, ECV% and LGE%.<b> G+P-(HCM) subjects had significantly elevated second eigenvector angle (E2A), i.e. sheetlet angle when compared to HVOL</b>: diastolic E2A 18°(14–21) vs 15°(12–17) and systolic E2A 70°(±5) vs 64°(±5). There was no difference in sheetlet mobility, magnitude of diffusivity (mean diffusivity) or its anisotropy (fractional anisotropy). <h3>Discussion</h3> This is the first in human study demonstrating that in G+P-(HCM) patients myocardial sheetlet abnormality affects both diastole and systole and precedes irreversible changes (LVH and myocardial tissue alteration). This likely reflects primary sarcomere defect caused by rare gene variants, occurring early in the pathophysiological cascade of HCM development. E2A abnormality should be investigated further as a potential novel<b> pre-phenotypic imaging biomarker of sarcomere dysfunction in G+P-(HCM)</b> and a target for developing therapeutics aimed at mitigating phenotypic conversion before irreversible myocardial tissue changes occur. <h3>Conclusion</h3> DT-CMR detects myocardial sheetlet abnormality which precedes the development of irreversible phenotypic changes in G+P-(HCM) and may be an early and potentially modifiable marker of disease. <h3>Acknowledgements</h3> This study is supported by the British Heart Foundation (BHF programme grant RG 19/1/34160). We are also grateful to our collaborators Professor Sanjay Prasad, Dr Antonis Pantazis, Dr Tessa Homfray and Dr Deborah Morris-Rosendahl. <h3>References</h3> O’Mahony C, Jichi F, Pavlou M, Monserrat L, Anastasakis A, Rapezzi C, Biagini E, Gimeno JR, Limongelli G, McKenna WJ, Omar RZ, Elliott PM, Ortiz-Genga M, Fernandez X, Vlagouli V, Stefanadis C, Coccolo F, Sandoval MJO, Pacileo G, <i>et al</i>. A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM Risk-SCD). <i>Eur Heart J</i>. 2014;<b>35</b>(30):2010–2020. Walsh R, Buchan R, Wilk A, John S, Felkin LE, Thomson KL, Chiaw TH, Loong CCW, Pua CJ, Raphael C, Prasad S, Barton PJ, Funke B, Watkins H, Ware JS, Cook SA. Defining the genetic architecture of hypertrophic cardiomyopathy: re-evaluating the role of non-sarcomeric genes. <i>Eur Heart J</i>. 2017;<b>38</b>(46):3461–3468. Nielles-Vallespin S, Khalique Z, Ferreira PF, de Silva R, Scott AD, Kilner P, McGill LA, Giannakidis A, Gatehouse PD, Ennis D, Aliotta E, Al-Khalil M, Kellman P, Mazilu D, Balaban RS, Firmin DN, Arai AE, Pennell DJ. Assessment of myocardial microstructural dynamics by in vivo diffusion tensor cardiac magnetic resonance. <i>J Am Coll Cardiol</i>. 2017;<b>69</b>(6):661–676.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.257
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it