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...
Main Authors: | , , , |
---|---|
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 |
id |
doaj-993909f0bd084912bed297c868e2f756 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT zijianli identifyingthepatternofimmunerelatedcellsandgenesintheperipheralbloodofischemicstroke AT yuerancui identifyingthepatternofimmunerelatedcellsandgenesintheperipheralbloodofischemicstroke AT juanfeng identifyingthepatternofimmunerelatedcellsandgenesintheperipheralbloodofischemicstroke AT yanxiaguo identifyingthepatternofimmunerelatedcellsandgenesintheperipheralbloodofischemicstroke |
_version_ |
1724706606355054592 |