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Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection
Background: Stanford type A aortic dissection (ATAAD) is a common life-threatening event in the aorta. Recently, immune disorder has been linked to the risk factors that cause ATAAD at the molecular level. However, the specific immune-related gene signature during the progression is unclear. Methods...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252449/ https://www.ncbi.nlm.nih.gov/pubmed/35795203 http://dx.doi.org/10.3389/fgene.2022.911750 |
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author | Li, Zhaoshui Wang, Jumiao Yu, Qiao Shen, Ruxin Qin, Kun Zhang, Yu Qiao, Youjin Chi, Yifan |
author_facet | Li, Zhaoshui Wang, Jumiao Yu, Qiao Shen, Ruxin Qin, Kun Zhang, Yu Qiao, Youjin Chi, Yifan |
author_sort | Li, Zhaoshui |
collection | PubMed |
description | Background: Stanford type A aortic dissection (ATAAD) is a common life-threatening event in the aorta. Recently, immune disorder has been linked to the risk factors that cause ATAAD at the molecular level. However, the specific immune-related gene signature during the progression is unclear. Methods: The GSE52093 and GSE98770 datasets related to ATAAD from the Gene Expression Omnibus (GEO) database were acquired. The immune gene expression levels were analyzed by single sample gene set enrichment analysis (ssGSEA). The correlations between gene networks and immune scores were determined by weighted gene correlation network analysis (WGCNA). The different immune subgroups were finally divided by consensus clustering. The differentially expressed genes (DEGs) were identified and subsequent functional enrichment analyses were conducted. The hub genes were identified by protein–protein interaction (PPI) network and functional similarities analyses. The immune cell infiltration proportion was determined by the CIBERSORT algorithm. Results: According to the ssGSEA results, the 13 ATAAD samples from the GEO database were divided into high- and low-immune subgroups according to the ssGSEA, WGCNA, and consensus clustering analysis results. Sixty-eight immune-related DEGs (IRDEGs) between the two subgroups were enriched in inflammatory-immune response biological processes, including leukocyte cell–cell adhesion, mononuclear cell migration, and myeloid leukocyte migration. Among these IRDEGs, 8 genes (CXCR4, LYN, CCL19, CCL3L3, SELL, F11R, DPP4, and VAV3) were identified as hub genes that represented immune-related signatures in ATAAD after the PPI and functional similarities analyses. The proportions of infiltrating CD8 T cells and M1 macrophages were significantly higher in ATAAD patients in the immune-high group than the immune-low group. Conclusion: Eight immune-related genes were identified as hub genes representing potential biomarkers and therapeutic targets linked to the immune response in ATAAD patients. |
format | Online Article Text |
id | pubmed-9252449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92524492022-07-05 Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection Li, Zhaoshui Wang, Jumiao Yu, Qiao Shen, Ruxin Qin, Kun Zhang, Yu Qiao, Youjin Chi, Yifan Front Genet Genetics Background: Stanford type A aortic dissection (ATAAD) is a common life-threatening event in the aorta. Recently, immune disorder has been linked to the risk factors that cause ATAAD at the molecular level. However, the specific immune-related gene signature during the progression is unclear. Methods: The GSE52093 and GSE98770 datasets related to ATAAD from the Gene Expression Omnibus (GEO) database were acquired. The immune gene expression levels were analyzed by single sample gene set enrichment analysis (ssGSEA). The correlations between gene networks and immune scores were determined by weighted gene correlation network analysis (WGCNA). The different immune subgroups were finally divided by consensus clustering. The differentially expressed genes (DEGs) were identified and subsequent functional enrichment analyses were conducted. The hub genes were identified by protein–protein interaction (PPI) network and functional similarities analyses. The immune cell infiltration proportion was determined by the CIBERSORT algorithm. Results: According to the ssGSEA results, the 13 ATAAD samples from the GEO database were divided into high- and low-immune subgroups according to the ssGSEA, WGCNA, and consensus clustering analysis results. Sixty-eight immune-related DEGs (IRDEGs) between the two subgroups were enriched in inflammatory-immune response biological processes, including leukocyte cell–cell adhesion, mononuclear cell migration, and myeloid leukocyte migration. Among these IRDEGs, 8 genes (CXCR4, LYN, CCL19, CCL3L3, SELL, F11R, DPP4, and VAV3) were identified as hub genes that represented immune-related signatures in ATAAD after the PPI and functional similarities analyses. The proportions of infiltrating CD8 T cells and M1 macrophages were significantly higher in ATAAD patients in the immune-high group than the immune-low group. Conclusion: Eight immune-related genes were identified as hub genes representing potential biomarkers and therapeutic targets linked to the immune response in ATAAD patients. Frontiers Media S.A. 2022-06-16 /pmc/articles/PMC9252449/ /pubmed/35795203 http://dx.doi.org/10.3389/fgene.2022.911750 Text en Copyright © 2022 Li, Wang, Yu, Shen, Qin, Zhang, Qiao and Chi. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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. |
spellingShingle | Genetics Li, Zhaoshui Wang, Jumiao Yu, Qiao Shen, Ruxin Qin, Kun Zhang, Yu Qiao, Youjin Chi, Yifan Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection |
title | Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection |
title_full | Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection |
title_fullStr | Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection |
title_full_unstemmed | Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection |
title_short | Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection |
title_sort | identification of immune-related gene signature in stanford type a aortic dissection |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252449/ https://www.ncbi.nlm.nih.gov/pubmed/35795203 http://dx.doi.org/10.3389/fgene.2022.911750 |
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