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August 15, 2025Frontiers in Cardiovascular MedicineOpen Access

Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning

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Authors

BHBin HeYCYan ChengJWJuan Wang

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Overview

Single-cell RNA sequencing reveals distinct cell types and ion channel genes in atrial fibrillation, suggesting new therapeutic targets.

Key Points

  • Atrial fibrillation is marked by altered distributions of cell types, with increased embryonic fibroblasts and leukocytes observed in AF.
  • Differential gene expression analysis identified ANO1 and GRIK2 as key ion channel biomarkers for atrial fibrillation.
  • Cell signaling pathways were extensively activated in embryonic fibroblasts, indicating their role in AF pathology.
  • Machine learning facilitated the identification of therapeutic candidates, including phenytoin sodium for atrial fibrillation treatment.

Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/68af6c107567bf4f94fea320https://doi.org/10.3389/fcvm.2025.1615574
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