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Research Paper|Volume 15, Issue 1|pp 213—229

Immune infiltration and immunophenotyping in atrial fibrillation

Yuqing Tian1,2, Shiying Liu3, Yanan Zhang4, Jiefu Yang5, Peiyao Guo5,6, Hongchao Zhang5, Xue Yu5, Tong Zou5
  • 1Department of Cardiology, Affiliated Hospital of Panzhihua University, Panzhihua 617000, Sichuan, P.R. China
  • 2Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, P.R. China
  • 3Department of Plastic Surgery, Affiliated Hospital of Panzhihua University, Panzhihua 617000, Sichuan, P.R. China
  • 4Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, P.R. China
  • 5Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing 100730, P.R. China
  • 6Peking University Fifth School of Clinical Medicine, Beijing Hospital, Beijing 100730, P.R. China
* Equal contribution
Received: July 26, 2022Accepted: December 20, 2022Published: January 4, 2023
https://doi.org/10.18632/aging.204470

Copyright: © 2023 Tian et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Atrial fibrillation (AF) is a relatively common arrhythmia in clinical practice. Although significant progress has been achieved in the treatment of AF and its associated complications, research on AF prevention lags behind, mainly due to the lack of a deep understanding of AF pathogenesis. In recent years, as our knowledge has grown, the role of the inflammatory/immune response in the occurrence and progression of AF has gradually gained attention. In this paper, based on existing gene expression data in the Gene Expression Omnibus database, a detailed description of immune infiltration status in AF is presented using a series of analytical methods, including differential analysis, Gene Ontology categorization, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and weighted gene coexpression network analysis, and analysis tools such as CIBERSORTx and Cytoscape. Several new AF/immune infiltrations–related signature genes were identified, and the AF/immune infiltration pathology was classified based on these immune signature genes, thus providing novel insights into the pathogenesis of AF based on the inflammatory response.