ArticleInternational journal of general medicine2024
Comprehensive Analysis of Immune Cell Infiltration and M2-Like Macrophage Biomarker Expression Patterns in Atrial Fibrillation.
Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Beyond cardiac fibroblasts: research advances on understanding and targeting intercellular communication networks in cardiac fibrosis.Frontiers in cardiovascular medicine · 2026Review
- From Tissue to Transcriptome: A Systematic Review of Multi-Level Evidence for Immune Dysregulation in Atrial Fibrillation.Journal of clinical medicine · 2025Review
- Elucidating the molecular association and potential mechanisms between psoriasis and atrial fibrillation through biomarker and immune infiltration analysis.Archives of dermatological research · 2025Article
- Inflammatory and fibrotic signaling pathways mediated by cardiac macrophages in atrial fibrillation.Frontiers in cardiovascular medicine · 2025Review
- Identification of key genes associated with atrial fibrillation and hypoxia using WGCNA and machine learning technology.Frontiers in cardiovascular medicine · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
Background: Macrophages play a crucial role in the progression of AF, closely linked to atrial inflammation and myocardial fibrosis. However, the functions and molecular mechanisms of different phenotypic macrophages in AF are not well understood. This study aims to analyze the infiltration characteristics of atrial immune cells in AF patients and further explore the role and molecular expression patterns of M2 macrophage-related genes in AF. Methods: This study integrates single-cell and large-scale sequencing data to analyze immune cell infiltration and molecular characterization of the LAA in patients with AF, using SR as a control group. CIBERSORT assesses immune cell types in LAA tissues; WGCNA identifies signature genes; cell clustering analyzes cell types and subpopulations; cell communication explores macrophage interactions; hdWGCNA identifies M2 macrophage gene modules in AF. AF biomarkers are identified using LASSO and Random Forest, validated with ROC curves and RT-qPCR. Potential molecular mechanisms are inferred through TF-miRNA-mRNA networks and single-gene enrichment analyses. Results: Myeloid cell subsets varied considerably between the AF and SR groups, with a significant increase in M2 macrophages in the AF group. Signals of inflammation and matrix remodeling were observed in AF. M2 macrophage-related genes Conclusion: Over infiltration of M2 macrophages may be an important factor in the progression of AF. The M2 macrophage-related genes
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