Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction

Background. There is evidence that the immune system plays a key critical role in the pathogenesis of myocardial infarction (MI). However, the exact mechanisms associated with immunity have not been systematically uncovered. Methods. This study used the weighted gene coexpression network analysis (W...

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Autores principales:	Lei Zhang, Qiqi Wang, Xudong Xie
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/fa30cf4d22e646a48d9ec994203f9e8e
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spelling	oai:doaj.org-article:fa30cf4d22e646a48d9ec994203f9e8e2021-11-15T01:20:15ZIdentification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction1875-863010.1155/2021/2227067https://doaj.org/article/fa30cf4d22e646a48d9ec994203f9e8e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2227067https://doaj.org/toc/1875-8630Background. There is evidence that the immune system plays a key critical role in the pathogenesis of myocardial infarction (MI). However, the exact mechanisms associated with immunity have not been systematically uncovered. Methods. This study used the weighted gene coexpression network analysis (WGCNA) and the CIBERSORT algorithm to analyze the MI expression data from the Gene Expression Omnibus database and then identify the module associated with immune cell infiltration. In addition, we built the coexpression network and protein-protein interactions network analysis to identify the hub genes. Furthermore, the relationship between hub genes and NK cell resting was validated by using another dataset GSE123342. Finally, receiver operating characteristic (ROC) curve analyses were used to assess the diagnostic value of verified hub genes. Results. Monocytes and neutrophils were markedly increased, and T cell CD8, T cell CD4 naive, T cell CD4 memory resting, and NK cell resting were significantly decreased in MI groups compared with stable coronary artery disease (CAD) groups. The WGCNA results showed that the pink model had the highest correlation with the NK cell resting infiltration level. We identified 11 hub genes whose expression correlated to the NK cell resting infiltration level, among which, 7 hub genes (NKG7, TBX21, PRF1, CD247, KLRD1, FASLG, and EOMES) were successfully validated in GSE123342. And these 7 genes had diagnostic value to distinguish MI and stable CAD. Conclusions. NKG7, TBX21, PRF1, CD247, KLRD1, FASLG, and EOMES may be a diagnostic biomarker and therapeutic target associated with NK cell resting infiltration in MI.Lei ZhangQiqi WangXudong XieHindawi LimitedarticleMedicine (General)R5-920ENDisease Markers, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920
spellingShingle	Medicine (General) R5-920 Lei Zhang Qiqi Wang Xudong Xie Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction
description	Background. There is evidence that the immune system plays a key critical role in the pathogenesis of myocardial infarction (MI). However, the exact mechanisms associated with immunity have not been systematically uncovered. Methods. This study used the weighted gene coexpression network analysis (WGCNA) and the CIBERSORT algorithm to analyze the MI expression data from the Gene Expression Omnibus database and then identify the module associated with immune cell infiltration. In addition, we built the coexpression network and protein-protein interactions network analysis to identify the hub genes. Furthermore, the relationship between hub genes and NK cell resting was validated by using another dataset GSE123342. Finally, receiver operating characteristic (ROC) curve analyses were used to assess the diagnostic value of verified hub genes. Results. Monocytes and neutrophils were markedly increased, and T cell CD8, T cell CD4 naive, T cell CD4 memory resting, and NK cell resting were significantly decreased in MI groups compared with stable coronary artery disease (CAD) groups. The WGCNA results showed that the pink model had the highest correlation with the NK cell resting infiltration level. We identified 11 hub genes whose expression correlated to the NK cell resting infiltration level, among which, 7 hub genes (NKG7, TBX21, PRF1, CD247, KLRD1, FASLG, and EOMES) were successfully validated in GSE123342. And these 7 genes had diagnostic value to distinguish MI and stable CAD. Conclusions. NKG7, TBX21, PRF1, CD247, KLRD1, FASLG, and EOMES may be a diagnostic biomarker and therapeutic target associated with NK cell resting infiltration in MI.
format	article
author	Lei Zhang Qiqi Wang Xudong Xie
author_facet	Lei Zhang Qiqi Wang Xudong Xie
author_sort	Lei Zhang
title	Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction
title_short	Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction
title_full	Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction
title_fullStr	Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction
title_full_unstemmed	Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction
title_sort	identification of biomarkers related to immune cell infiltration with gene coexpression network in myocardial infarction
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/fa30cf4d22e646a48d9ec994203f9e8e
work_keys_str_mv	AT leizhang identificationofbiomarkersrelatedtoimmunecellinfiltrationwithgenecoexpressionnetworkinmyocardialinfarction AT qiqiwang identificationofbiomarkersrelatedtoimmunecellinfiltrationwithgenecoexpressionnetworkinmyocardialinfarction AT xudongxie identificationofbiomarkersrelatedtoimmunecellinfiltrationwithgenecoexpressionnetworkinmyocardialinfarction
_version_	1718428902738624512

Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction

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