Identification of Hub mRNAs and lncRNAs in Atrial Fibrillation Using Weighted Co-expression Network Analysis With

Pan Yang1,2,3, Yujing Cao2, Huagang Jian1

  • 1Emergency Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Insights

This study reveals key molecular changes in atrial fibrillation (AF) progression, identifying differentially expressed genes and lncRNAs. These findings highlight novel pathways and potential biomarkers for understanding AF development.

Area of Science:

  • Cardiovascular Biology
  • Molecular Genetics
  • Bioinformatics

Background:

  • Atrial fibrillation (AF) is a primary cause of cardiogenic embolism.
  • The progression from paroxysmal AF to persistent AF is increasingly recognized.
  • The molecular mechanisms underlying AF progression remain largely unknown.

Purpose of the Study:

  • To identify differentially expressed genes (DEGs) and lncRNAs in AF progression.
  • To explore the roles of these DEGs in AF-associated pathways.
  • To uncover potential molecular markers for AF.

Main Methods:

  • RNA sequencing of normal, paroxysmal AF, and persistent AF samples.
  • Differential gene expression analysis for mRNAs and lncRNAs.
  • Weighted Gene Co-expression Network Analysis (WGCNA) and bioinformatics analysis (PPI networks).

Main Results:

  • Identified significant numbers of differentially expressed mRNAs and lncRNAs across AF stages.
  • Found that both coding and non-coding RNAs play roles in AF progression.
  • WGCNA identified key modules (blue and turquoise) significantly correlated with AF progression, with the turquoise module linked to immune response pathways.

Conclusions:

  • This study elucidates molecular alterations during AF progression, involving both coding and non-coding RNAs.
  • Identified key regulatory networks and pathways, including immune responses, implicated in AF.
  • Provides a valuable resource for potential AF biomarkers and therapeutic targets.