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Updated: Oct 16, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
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.
Abstract:
Atrial fibrillation (AF)/paroxysmal AF (PAF) is the main cause of cardiogenic embolism. In recent years, the progression from paroxysmal AF to persistent AF has attracted more and more attention. However, the molecular mechanism of the progression of AF is unclear. In this study, we performed RNA sequencing for normal samples, paroxysmal AF and persistent AF samples to identify differentially expressed gene (DEG) and explore the roles of these DEGs in AF. Totally, 272 differently expressed mRNAs (DEmRNAs) and 286 differentially expressed lncRNAs (DElncRNAs) were identified in paroxysmal AF compared to normal samples; 324 DEmRNAs and 258 DElncRNAs were found in persistent atrial fibrillation compared with normal samples; and 520 DEmRNAs and 414 DElncRNAs were identified in persistent AF compared to paroxysmal AF samples. Interestingly, among the DEGs, approximately 50% were coding genes and around 50% were non-coding RNAs, suggesting that lncRNAs may also have a crucial role in the progression of AF. Bioinformatics analysis demonstrated that these DEGs were significantly related to regulating multiple AF associated pathways, such as the regulation of vascular endothelial growth factor production and binding to the CXCR chemokine receptor. Furthermore, weighted gene co-expression network analysis (WGCNA) was conducted to identify key modules and hub RNAs and lncRNAs to determine their potential associations with AF. Five hub modules were identified in the progression of AF, including blue, brown, gray, turquoise and yellow modules. Interestingly, blue module and turquoise module were significantly negatively and positively correlated to the progression of AF respectively, indicating that they may have a more important role in the AF. Moreover, the hub protein-protein interaction (PPI) networks and lncRNA-mRNA regulatory network were constructed. Bioinformatics analysis on the hub PPI network in turquoise was involved in regulating immune response related signaling, such as leukocyte chemotaxis, macrophage activation, and positive regulation of α-β T cell activation. Our findings could clarify the underlying molecular changes associated fibrillation, and provide a useful resource for identifying AF marker.
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.
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