Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke

Abstract Background Ischemic stroke (IS) is the second leading cause of death worldwide which is a serious hazard to human health. Evidence suggests that the immune system plays a key role in the pathophysiology of IS. However, the precisely immune related mechanisms were still not been systematical...

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Main Authors: Zijian Li, Yueran Cui, Juan Feng, Yanxia Guo
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Journal of Translational Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12967-020-02463-0
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spelling doaj-993909f0bd084912bed297c868e2f7562020-11-25T02:58:24ZengBMCJournal of Translational Medicine1479-58762020-08-0118111710.1186/s12967-020-02463-0Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic strokeZijian Li0Yueran Cui1Juan Feng2Yanxia Guo3Department of Neurology, Shengjing Hospital of China Medical UniversityDepartment of Neurology, Shengjing Hospital of China Medical UniversityDepartment of Neurology, Shengjing Hospital of China Medical UniversityDepartment of Neurology, Shengjing Hospital of China Medical UniversityAbstract Background Ischemic stroke (IS) is the second leading cause of death worldwide which is a serious hazard to human health. Evidence suggests that the immune system plays a key role in the pathophysiology of IS. However, the precisely immune related mechanisms were still not been systematically understood. Methods In this study, we aim to identify the immune related modules and genes that might play vital role in the occurrence and development of IS by using the weighted gene co-expression network analysis (WGCNA). Meanwhile, we applied a kind of deconvolution algorithm to reveal the proportions of 22 subsets of immune cells in the blood samples. Results There were total 128 IS patients and 67 healthy control samples in the three Gene Expression Omnibus (GEO) datasets. Under the screening criteria, 1082 DEGs (894 up-regulated and 188 down-regulated) were chosen for further analysis. A total of 11 clinically significant modules were identified, from which immune-related hub modules and hub genes were further explored. Finally, 16 genes were selected as real hub genes for further validation analysis. Furthermore, these CIBERSORT results suggest that detailed analysis of the immune subtype distribution pattern has the potential to enhance clinical prediction and to identify candidates for immunotherapy. More specifically, we identified that neutrophil emerge as a promising target for IS therapies. Conclusions In the present study, we investigated the immune related gene expression modules, in which the SLAMF1, IL7R and NCF4 may be novel therapeutic targets to promote functional and histological recovery after ischemic stroke. Furthermore, these hub genes and neutrophils may become important biological targets in the drug screening and drug designing.http://link.springer.com/article/10.1186/s12967-020-02463-0Ischemic strokeWeighted gene co-expression network analysisBioinformatics analysisImmune cell subtype distribution patternPathological process
collection DOAJ
language English
format Article
sources DOAJ
author Zijian Li
Yueran Cui
Juan Feng
Yanxia Guo
spellingShingle Zijian Li
Yueran Cui
Juan Feng
Yanxia Guo
Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke
Journal of Translational Medicine
Ischemic stroke
Weighted gene co-expression network analysis
Bioinformatics analysis
Immune cell subtype distribution pattern
Pathological process
author_facet Zijian Li
Yueran Cui
Juan Feng
Yanxia Guo
author_sort Zijian Li
title Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke
title_short Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke
title_full Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke
title_fullStr Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke
title_full_unstemmed Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke
title_sort identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke
publisher BMC
series Journal of Translational Medicine
issn 1479-5876
publishDate 2020-08-01
description Abstract Background Ischemic stroke (IS) is the second leading cause of death worldwide which is a serious hazard to human health. Evidence suggests that the immune system plays a key role in the pathophysiology of IS. However, the precisely immune related mechanisms were still not been systematically understood. Methods In this study, we aim to identify the immune related modules and genes that might play vital role in the occurrence and development of IS by using the weighted gene co-expression network analysis (WGCNA). Meanwhile, we applied a kind of deconvolution algorithm to reveal the proportions of 22 subsets of immune cells in the blood samples. Results There were total 128 IS patients and 67 healthy control samples in the three Gene Expression Omnibus (GEO) datasets. Under the screening criteria, 1082 DEGs (894 up-regulated and 188 down-regulated) were chosen for further analysis. A total of 11 clinically significant modules were identified, from which immune-related hub modules and hub genes were further explored. Finally, 16 genes were selected as real hub genes for further validation analysis. Furthermore, these CIBERSORT results suggest that detailed analysis of the immune subtype distribution pattern has the potential to enhance clinical prediction and to identify candidates for immunotherapy. More specifically, we identified that neutrophil emerge as a promising target for IS therapies. Conclusions In the present study, we investigated the immune related gene expression modules, in which the SLAMF1, IL7R and NCF4 may be novel therapeutic targets to promote functional and histological recovery after ischemic stroke. Furthermore, these hub genes and neutrophils may become important biological targets in the drug screening and drug designing.
topic Ischemic stroke
Weighted gene co-expression network analysis
Bioinformatics analysis
Immune cell subtype distribution pattern
Pathological process
url http://link.springer.com/article/10.1186/s12967-020-02463-0
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