IMR Press / JIN / Volume 21 / Issue 6 / DOI: 10.31083/j.jin2106152
Open Access Original Research
Investigation on Potential Biomarkers and Immune-Related Mechanisms of Ischemic Stroke
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1 Department of Neurology, The First Affiliated Hospital of Harbin Medical University, 150000 Harbin, Heilongjiang, China
2 Department of Neurology, The First Hospital of Harbin, 150000 Harbin, Heilongjiang, China
3 Department of Neurology, The First People’s Hospital of Zhengzhou, 450000 Zhengzhou, Henan, China
4 Department of Neurology, The Second People’s Hospital of Zhengzhou, 450000 Zhengzhou, Henan, China
*Correspondence: conglie75beinei@163.com (Shu-rong Duan)
Academic Editor: Hongmin Wang
J. Integr. Neurosci. 2022, 21(6), 152; https://doi.org/10.31083/j.jin2106152
Submitted: 27 January 2022 | Revised: 28 April 2022 | Accepted: 1 July 2022 | Published: 19 September 2022
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Background: This study aimed to reveal the detailed immune-related mechanisms underlying ischemic stroke (IS) and identify new immune-associated biomarkers for clinical management. Methods: Differentially expressed genes (DEGs) between IS samples and normal controls were identified using the GSE16561 dataset. The feature genes of the immune cells were investigated using the GSE72642 dataset. Weighted correlation network analysis (WGCNA) was performed to reveal module genes, followed by an investigation of common DEGs and a functional enrichment analysis. Potential biomarkers were identified based on hub genes in protein-protein interaction networks and WGCNA. Finally, GSE158312 was used for biomarker verification. Results: In total, 1230 DEGs were identified between the IS samples and normal controls. Seven clinically significant modules were identified using WGCNA. The yellow module genes were positively correlated with polymorphonuclear cells (PMNC), whereas the brown module genes were positively correlated with CD4+ T cells. Eight genes were selected as hub genes. These genes are mainly involved in functions such as the innate immune response. Upregulated TLR2 and ARG1 levels were significantly different between the two groups in the verification dataset. Conclusions: Our findings suggest ARG1 and TLR2 as novel biomarkers for IS. Upregulated TLR2 might play a role in IS development by participating in the innate immune response function.

Keywords
ischemic stroke
weighted correlation network analysis
differentially expressed genes
functional enrichment analysis
immune cells
Figures
Fig. 1.
Funding
ZD201418/ Provincial Natural Science Foundation
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