Cargando…
Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation
Atrial fibrillation (AF) is the most common sustained arrhythmia in clinical practice. Inflammation plays an important role in the initiation and perpetuation of AF. The present study was conducted to characterize immune clusters in nonparoxysmal AF and to distinguish immune subtypes of nonparoxysma...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849221/ https://www.ncbi.nlm.nih.gov/pubmed/36653368 http://dx.doi.org/10.1038/s41598-022-26749-z |
_version_ | 1784871903427559424 |
---|---|
author | Ying, Hangying Guo, Wenpu Yu, Pengcheng Qiu, Hangyuan Jiang, Ruhong Jiang, Chenyang |
author_facet | Ying, Hangying Guo, Wenpu Yu, Pengcheng Qiu, Hangyuan Jiang, Ruhong Jiang, Chenyang |
author_sort | Ying, Hangying |
collection | PubMed |
description | Atrial fibrillation (AF) is the most common sustained arrhythmia in clinical practice. Inflammation plays an important role in the initiation and perpetuation of AF. The present study was conducted to characterize immune clusters in nonparoxysmal AF and to distinguish immune subtypes of nonparoxysmal AF. Immune-related algorithms (CIBERSORT, ESTIMATE, and ssGSEA) were used to evaluate the immune cluster characterization and cell abundance, and multivariable logistics analysis was performed to determine the most relevant immune cells. We identified differentially expressed genes (DEGs) and used consensus clustering analysis to identify nonparoxysmal AF subtypes. Weighted gene coexpression network analysis (WGCNA) was used for finding highly correlated gene sets and attach to external sample traits. And it was conducted twice to identify the immune- and subtype- related modules. Finally, Metascape was used to compare the biological functions of the two nonparoxysmal AF subtypes we obtained. CytoHubba was used to identify the hub genes of these two subtypes. Based on the results of bioinformatics analysis, regulatory T cells, resting NK cells, active mast cells and neutrophils were considered to be closely related to nonparoxysmal AF. The brown module was identified as the most relevant module to the above immune cells by WGCNA. We identified two major nonparoxysmal AF subtypes by consensus clustering analysis and their enriched biological functions by Metascape. The hub genes are TYROBP, PTPRC, ITGB2, SPI1, PLEK, and CSF1R in permanent AF and JAM3, S100P, ARPC5, TRIM34, and GREB1L in persistent AF. This study revealed two major nonparoxysmal AF subtypes and eleven hub genes, which provide potential therapeutic targets for anti-inflammatory treatments of nonparoxysmal AF. |
format | Online Article Text |
id | pubmed-9849221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98492212023-01-20 Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation Ying, Hangying Guo, Wenpu Yu, Pengcheng Qiu, Hangyuan Jiang, Ruhong Jiang, Chenyang Sci Rep Article Atrial fibrillation (AF) is the most common sustained arrhythmia in clinical practice. Inflammation plays an important role in the initiation and perpetuation of AF. The present study was conducted to characterize immune clusters in nonparoxysmal AF and to distinguish immune subtypes of nonparoxysmal AF. Immune-related algorithms (CIBERSORT, ESTIMATE, and ssGSEA) were used to evaluate the immune cluster characterization and cell abundance, and multivariable logistics analysis was performed to determine the most relevant immune cells. We identified differentially expressed genes (DEGs) and used consensus clustering analysis to identify nonparoxysmal AF subtypes. Weighted gene coexpression network analysis (WGCNA) was used for finding highly correlated gene sets and attach to external sample traits. And it was conducted twice to identify the immune- and subtype- related modules. Finally, Metascape was used to compare the biological functions of the two nonparoxysmal AF subtypes we obtained. CytoHubba was used to identify the hub genes of these two subtypes. Based on the results of bioinformatics analysis, regulatory T cells, resting NK cells, active mast cells and neutrophils were considered to be closely related to nonparoxysmal AF. The brown module was identified as the most relevant module to the above immune cells by WGCNA. We identified two major nonparoxysmal AF subtypes by consensus clustering analysis and their enriched biological functions by Metascape. The hub genes are TYROBP, PTPRC, ITGB2, SPI1, PLEK, and CSF1R in permanent AF and JAM3, S100P, ARPC5, TRIM34, and GREB1L in persistent AF. This study revealed two major nonparoxysmal AF subtypes and eleven hub genes, which provide potential therapeutic targets for anti-inflammatory treatments of nonparoxysmal AF. Nature Publishing Group UK 2023-01-18 /pmc/articles/PMC9849221/ /pubmed/36653368 http://dx.doi.org/10.1038/s41598-022-26749-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ying, Hangying Guo, Wenpu Yu, Pengcheng Qiu, Hangyuan Jiang, Ruhong Jiang, Chenyang Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation |
title | Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation |
title_full | Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation |
title_fullStr | Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation |
title_full_unstemmed | Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation |
title_short | Characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation |
title_sort | characteristics of immune clusters and cell abundance in patients with different subtypes of nonparoxysmal atrial fibrillation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849221/ https://www.ncbi.nlm.nih.gov/pubmed/36653368 http://dx.doi.org/10.1038/s41598-022-26749-z |
work_keys_str_mv | AT yinghangying characteristicsofimmuneclustersandcellabundanceinpatientswithdifferentsubtypesofnonparoxysmalatrialfibrillation AT guowenpu characteristicsofimmuneclustersandcellabundanceinpatientswithdifferentsubtypesofnonparoxysmalatrialfibrillation AT yupengcheng characteristicsofimmuneclustersandcellabundanceinpatientswithdifferentsubtypesofnonparoxysmalatrialfibrillation AT qiuhangyuan characteristicsofimmuneclustersandcellabundanceinpatientswithdifferentsubtypesofnonparoxysmalatrialfibrillation AT jiangruhong characteristicsofimmuneclustersandcellabundanceinpatientswithdifferentsubtypesofnonparoxysmalatrialfibrillation AT jiangchenyang characteristicsofimmuneclustersandcellabundanceinpatientswithdifferentsubtypesofnonparoxysmalatrialfibrillation |