ArticleMedical science monitor : international medical journal of experimental and clinical research2021
Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics Analysis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Circulating microRNAs in Atrial Fibrillation: Clinical Significance and Future Perspectives.Medicina (Kaunas, Lithuania) · 2026Review
- G protein-coupled receptors and inflammation resolution signaling networks in the heart: Pharmacology and potential for innovative therapeutics.Pharmacological reviews · 2026Review
- Horse model of spontaneous atrial fibrillation share proteomic changes with humans.Scientific reports · 2025Article
- Comprehensive single-cell profiling of monocytes in HLA-B27-positive ankylosing spondylitis with acute anterior uveitis.MedComm · 2024Article
- Advances in the study of S100A9 in cardiovascular diseases.Cell proliferation · 2024Review
- Article
- Circulating MicroRNAs as Specific Biomarkers in Atrial Fibrillation: A Meta-Analysis.Non-coding RNA · 2023Review
- Identification of microRNAs as diagnostic biomarkers for atrial fibrillation: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2023Review
- Bioinformatics Strategies to Identify Shared Molecular Biomarkers That Link Ischemic Stroke and Moyamoya Disease with Glioblastoma.Pharmaceutics · 2022Article
- Identification of Differentially Expressed Genes and Pathways in Human Atrial Fibrillation by Bioinformatics Analysis.International journal of general medicine · 2022Article
- The Four Key Genes Participated in and Maintained Atrial Fibrillation ProcessFrontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Atrial fibrillation (AF) is the most prevalent arrhythmia worldwide. Although it is not life-threatening, the accompanying rapid and irregular ventricular rate can lead to hemodynamic deterioration and obvious symptoms, especially the risk of cerebrovascular embolism. Our study aimed to identify novel and promising genes that could explain the underlying mechanism of AF development. MATERIAL AND METHODS Expression profiles GSE41177, GSE79768, and GSE14975 were acquired from the Gene Expression Omnibus Database. R software was used for identifying differentially expressed genes (DEGs), and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were subsequently performed. A protein-protein interaction network was constructed in Cytoscape software. Next, a least absolute shrinkage and selection operator (LASSO) model was constructed and receiver-operating characteristic curve analysis was conducted to assess the specificity and sensitivity of the key genes. RESULTS We obtained 204 DEGs from the datasets. The DEGs were mostly involved in immune response and cell communication. The primary pathways of the DEGs were related to the course or maintenance of autoimmune and chronic inflammatory diseases. The top 20 hub genes (high scores in cytoHubba) were selected in the PPI network. Finally, we identified 6 key genes (FCGR3B, CLEC10A, FPR2, IGSF6, S100A9, and S100A12) via the LASSO model. CONCLUSIONS We present 6 target genes that are potentially involved in the molecular mechanisms of AF development. In addition, these genes are likely to serve as potential therapeutic targets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.