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ORIGINAL RESEARCH article
Front. Cardiovasc. Med.
Sec. Cardiac Rhythmology
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1521722
This article is part of the Research Topic Artificial Intelligence for Arrhythmia Detection and Prediction View all 6 articles
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Research Objective: Using bioinformatics analysis, this study explores the co - expressed differentially expressed genes (DEGs) of AF and CKD, identifies biomarkers for their occurrence and development, investigates biomarker connections between the two diseases, and explores biomarker - immune cell infiltration associations.Methods: Downloaded AF (GSE79768, GSE14975) and CKD (GSE37171, GSE120683) gene - chip datasets from GEO. After pre - processing, used R to screen DEGs and Venn diagrams for co - expressed DEGs. Employed GO/KEGG enrichment for pathway analysis, Cytoscape for PPI network construction and key gene screening (top 15 by MCC algorithm), LASSO regression and RF algorithm for further key gene screening, GeneMANIA and Networkanalyst for gene - gene and TFs - gene interaction networks, and Spearman analysis for key gene - immune cell subtype correlation.Research Results: Screened 425 DEGs from AF dataset, 4128 from CKD dataset, and got 82 co - expressed DEGs. GO enrichment showed enrichment in secretory granule lumen, etc.; KEGG in complement - coagulation cascade, etc. Obtained top 15 DEGs by MCC, then 5 key genes (PPBP, CXCL1, LRRK2, RGS18, RSAD2) by LASSO and RF. ROC curves verified diagnostic efficacy: RSAD2 for AF, PPBP, CXCL1, RSAD2 for CKD. With AUC > 0.7, got strong diagnostic genes (PPBP, CXCL1, RSAD2). GeneMANIA showed PPBP and CXCL1 function - related interactions. Identified FOXC1, FOXL1, GATA2 as main TFs. Immune infiltration analysis showed immune cell infiltrations in AF and CKD development.Research Conclusion: PPBP, CXCL1, and RSAD2 are key genes related to AF and CKD. The CXCLs/CXCR signaling pathway may be crucial. FOXC1, FOXL1, and GATA2 may be potential therapeutic targets, and disease development is linked to immune cell infiltration.
Keywords: Atrial Fibrillation, Chronic Kidney Disease, bioinformatics, Inflammatory, Immune process, CXCLs/CXCR
Received: 02 Nov 2024; Accepted: 12 Feb 2025.
Copyright: © 2025 Jieying and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Teng Jieying, Fifth Affiliated Hospital, Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Region, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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