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Identification of potential biomarkers associated with CD4(+) T cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis
BACKGROUND: Myocardial ischemia-reperfusion injury (MIRI) is often part of clinical events such as cardiac arrest, resuscitation, and reperfusion after coronary artery occlusion. Recently, more and more studies have shown that the immune microenvironment is an integral part of ischemia-reperfusion i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636474/ https://www.ncbi.nlm.nih.gov/pubmed/37969273 http://dx.doi.org/10.21037/jtd-23-1335 |
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author | Wang, Wenmiao Kang, Li Li, Houqiang Sha, Xinyu Li, Jing He, Shuai |
author_facet | Wang, Wenmiao Kang, Li Li, Houqiang Sha, Xinyu Li, Jing He, Shuai |
author_sort | Wang, Wenmiao |
collection | PubMed |
description | BACKGROUND: Myocardial ischemia-reperfusion injury (MIRI) is often part of clinical events such as cardiac arrest, resuscitation, and reperfusion after coronary artery occlusion. Recently, more and more studies have shown that the immune microenvironment is an integral part of ischemia-reperfusion injury (IRI), and CD4(+) T-cell infiltration plays an important role, but there are no relevant molecular targets for clinical diagnosis and treatment. METHODS: The transcriptome data and matched group information were retrieved from the Gene Expression Omnibus (GEO) database. The ImmuCellAI-mouse (Immune Cell Abundance Identifier for mouse) algorithm was used to calculate each symbol’s CD4(+) T cell infiltration score. The time period with the greatest change in the degree of CD4(+) T cell infiltration [ischemia-reperfusion 6 hours (IR6h)-ischemia-reperfusion 24 hours (IR24h)] was selected for the next analysis. Weighted gene co-expression network analysis (WGCNA) and differential expression analysis were performed to screen out CD4(+) T cell-related genes and from which the gene CLEC5A was screened for the highest correlation with CD4(+) T cell infiltration. The potential regulatory mechanism of CD4(+) T cells in MIRI was discussed through various enrichment analysis. Finally, we analyzed the expression and molecular function (MF) of CLEC5A and its related genes in MIRI. RESULTS: A total of 406 CD4(+) T cell-related genes were obtained by intersecting the results of WGCNA and differential expression analysis. Functional enrichment analysis indicated that the CD4(+) T cell-related genes were mainly involved in chemokine signaling pathway and cell cycle. By constructing a protein-protein interaction (PPI) network, a total of 12 hub genes were identified as candidate genes for further analysis. Through the correlation analysis between the 12 candidate genes found in the PPI network and CD4(+) T cell infiltration fraction, we determined the core gene CLEC5A. Finally, a gene interaction network was constructed to decipher the biological functions of CLEC5A using GeneMANIA. CONCLUSIONS: In this study, RNA sequencing (RNA-Seq) data at different time points after reperfusion were subjected to a series of bioinformatics methods such as PPI network, WGCNA module, etc., and CLEC5A, a pivotal gene associated with CD4(+) T-cells, was found, which may serve as a new target for diagnosis or treatment. |
format | Online Article Text |
id | pubmed-10636474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-106364742023-11-15 Identification of potential biomarkers associated with CD4(+) T cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis Wang, Wenmiao Kang, Li Li, Houqiang Sha, Xinyu Li, Jing He, Shuai J Thorac Dis Original Article BACKGROUND: Myocardial ischemia-reperfusion injury (MIRI) is often part of clinical events such as cardiac arrest, resuscitation, and reperfusion after coronary artery occlusion. Recently, more and more studies have shown that the immune microenvironment is an integral part of ischemia-reperfusion injury (IRI), and CD4(+) T-cell infiltration plays an important role, but there are no relevant molecular targets for clinical diagnosis and treatment. METHODS: The transcriptome data and matched group information were retrieved from the Gene Expression Omnibus (GEO) database. The ImmuCellAI-mouse (Immune Cell Abundance Identifier for mouse) algorithm was used to calculate each symbol’s CD4(+) T cell infiltration score. The time period with the greatest change in the degree of CD4(+) T cell infiltration [ischemia-reperfusion 6 hours (IR6h)-ischemia-reperfusion 24 hours (IR24h)] was selected for the next analysis. Weighted gene co-expression network analysis (WGCNA) and differential expression analysis were performed to screen out CD4(+) T cell-related genes and from which the gene CLEC5A was screened for the highest correlation with CD4(+) T cell infiltration. The potential regulatory mechanism of CD4(+) T cells in MIRI was discussed through various enrichment analysis. Finally, we analyzed the expression and molecular function (MF) of CLEC5A and its related genes in MIRI. RESULTS: A total of 406 CD4(+) T cell-related genes were obtained by intersecting the results of WGCNA and differential expression analysis. Functional enrichment analysis indicated that the CD4(+) T cell-related genes were mainly involved in chemokine signaling pathway and cell cycle. By constructing a protein-protein interaction (PPI) network, a total of 12 hub genes were identified as candidate genes for further analysis. Through the correlation analysis between the 12 candidate genes found in the PPI network and CD4(+) T cell infiltration fraction, we determined the core gene CLEC5A. Finally, a gene interaction network was constructed to decipher the biological functions of CLEC5A using GeneMANIA. CONCLUSIONS: In this study, RNA sequencing (RNA-Seq) data at different time points after reperfusion were subjected to a series of bioinformatics methods such as PPI network, WGCNA module, etc., and CLEC5A, a pivotal gene associated with CD4(+) T-cells, was found, which may serve as a new target for diagnosis or treatment. AME Publishing Company 2023-10-27 2023-10-31 /pmc/articles/PMC10636474/ /pubmed/37969273 http://dx.doi.org/10.21037/jtd-23-1335 Text en 2023 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Wang, Wenmiao Kang, Li Li, Houqiang Sha, Xinyu Li, Jing He, Shuai Identification of potential biomarkers associated with CD4(+) T cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis |
title | Identification of potential biomarkers associated with CD4(+) T cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis |
title_full | Identification of potential biomarkers associated with CD4(+) T cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis |
title_fullStr | Identification of potential biomarkers associated with CD4(+) T cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis |
title_full_unstemmed | Identification of potential biomarkers associated with CD4(+) T cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis |
title_short | Identification of potential biomarkers associated with CD4(+) T cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis |
title_sort | identification of potential biomarkers associated with cd4(+) t cell infiltration in myocardial ischemia-reperfusion injury using bioinformation analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636474/ https://www.ncbi.nlm.nih.gov/pubmed/37969273 http://dx.doi.org/10.21037/jtd-23-1335 |
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