Construction of a diagnostic model for ischemic stroke based 
on immune-related genes

Yingfeng Weng; Bin Liu; Zhibin Chen; Yangbo Hou; Dan Wu; Lin Ma; Guoyi Li

doi:10.5114/fn.2024.135846

eISSN: 1509-572x
ISSN: 1641-4640

Folia Neuropathologica

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abstract:

Original paper

Construction of a diagnostic model for ischemic stroke based on immune-related genes

Yingfeng Weng

¹

,

Bin Liu

²

,

Zhibin Chen

¹

,

Yangbo Hou

¹

,

Dan Wu

³

,

Lin Ma

⁴

,

Guoyi Li

¹

Department of Neurology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
Department of Neurology, Shanghai Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
Department of Radiology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
Department of Interventional Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China

Folia Neuropathol 2024; 62 (2): 171-186

DOI: https://doi.org/10.5114/fn.2024.135846

Online publish date: 2024/07/12

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Introduction:
This study aimed to screen immune-related marker genes of ischemic stroke (IS).

Material and methods:
Two IS-related gene expression datasets were downloaded. The significantly differentially expressed genes (DEGs) and miRNAs (DEMs) between IS and control groups were selected. The differential immune cells were analysed. Weighted gene co-expression network analysis (WGCNA) was applied to analyse immune-related genes, followed by function analysis and interaction network construction. Then, key genes were further screened using optimization algorithm to construct a diagnostic model. Finally, miRNA regulatory network of several key genes was established.

Results:
In total 321 DEGs and 140 DEMs were obtained. 11 immune cell types were significantly different between IS and control groups. WGCNA identified two key modules, involving 202 differential immune genes. The greenyellow module was enriched in biological processes and pathways associated with T cells, while the midnightblue module was mainly associated with apoptosis, and inflammatory response-related functions and pathways. Protein interaction network identified 10 hub nodes, such as CD8A, ITGAM and TLR4. LASSO regression selected 8 key feature genes, and a risk score model was established. Key model genes were enriched in 63 GO biological processes, such as microglial cell activation, and B cell apoptotic process, and 3 KEGG pathways, such as negative regulation of nuclear cell cycle DNA replication, and hematopoietic cell lineage. Finally, a total of 25 miRNA-target relationship pairs were obtained.

Conclusions:
This study identified some immune-related marker genes and constructed a diagnostic model based on 8 immune-related genes in IS.

keywords:

Construction of a diagnostic model for ischemic stroke based on immune-related genes

Yingfeng Weng 1 , Bin Liu 2 , Zhibin Chen 1 , Yangbo Hou 1 , Dan Wu 3 , Lin Ma 4 , Guoyi Li 1

ischemic stroke, gene, immune, diagnostic model

Yingfeng Weng

¹

,

Bin Liu

²

,

Zhibin Chen

¹

,

Yangbo Hou

¹

,

Dan Wu

³

,

Lin Ma

⁴

,

Guoyi Li

¹