Transcriptomic Analysis of Cardiomyocyte Extracellular Vesicles in Hypertrophic Cardiomyopathy Reveals Differential

Victoria James1, Zubair A Nizamudeen1, Daniel Lea1

  • 1School of Veterinary Medicine and Science, University of Nottingham, Nottingham, United Kingdom.

Stem Cells and Development
|November 22, 2021
PubMed

Insights

Human stem cell-derived cardiomyocytes revealed that hypertrophic cardiomyopathy (HCM) mutations disrupt cellular metabolism and gene splicing. Extracellular vesicles released by these cells carry small nucleolar RNAs (snoRNAs) that may offer new insights into HCM mechanisms and potential therapies.

Area of Science:

  • Cardiovascular Biology
  • Stem Cell Biology
  • Molecular Medicine

Background:

  • Hypertrophic cardiomyopathy (HCM) is a genetic heart muscle disease characterized by left ventricular hypertrophy.
  • The underlying molecular mechanisms driving HCM phenotypes, including heart failure and sudden cardiac death, remain incompletely understood.
  • Human models are crucial for elucidating HCM pathogenesis and developing targeted therapies.

Purpose of the Study:

  • To investigate the molecular consequences of an HCM-associated mutation (c.ACTC1^G301A) using human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs).
  • To analyze cellular and extracellular vesicle (EV) transcriptomes under varying contractile workloads.
  • To identify novel mechanisms and potential therapeutic targets for HCM.

Main Methods:

  • Generation of hiPSC lines from HCM patients and isogenic controls using CRISPR/Cas9 gene editing.
  • Differentiation of hiPSCs into hiPSC-CMs and analysis at baseline and increased contractile workload (2 Hz stimulation).
  • Isolation and characterization of extracellular vesicles (EVs) and transcriptomic analysis of both cells and EVs.

Main Results:

  • HCM mutation induced differential splicing and disrupted metabolic pathways in hiPSC-CMs.
  • Increased contractile workload exacerbated metabolic gene expression disruptions in HCM hiPSC-CMs.
  • HCM-derived EVs showed altered small nucleolar RNA (snoRNA) cargo, particularly under increased workload, suggesting roles in post-translational modification and alternative splicing.

Conclusions:

  • HCM mutations impact cellular splicing and metabolism, with workload exacerbating these effects.
  • EV-associated snoRNAs represent a novel mechanism potentially linking workload, splicing, and HCM phenotypes.
  • Identified snoRNAs may serve as future HCM biomarkers or targets for RNA-based therapies.

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