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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Multiple Sclerosis and Neuroimmunology
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1565379
This article is part of the Research Topic Emerging Insights into Immunological Mechanisms in Neurodegenerative, Neurogenetic, and Neurometabolic Diseases View all articles
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Ischemic stroke, a prevalent cerebrovascular disorder characterized by reduced cerebral blood flow, and systemic lupus erythematosus (SLE), a chronic autoimmune disease impacting various organs, are suspected to overlap etiological mechanisms and genetic predispositions. Our study aimed to identify shared diagnostic biomarkers and molecular mechanisms by analyzing datasets from the GEO database. Genes exhibiting differential expression were pinpointed using the Limma package, and co-expression modules associated with both conditions were identified using WGCNA. Pathway enrichment analysis using GO and KEGG was conducted to identify co-driver genes. LASSO regression was applied to evaluate potential diagnostic markers, and the infiltration of immune cells was quantified utilizing the CIBERSORT computational method. A middle cerebral artery occlusion (MCAO) mice model was developed to assess core gene expression in vivo. We identified 69 shared driver genes linked to stroke and SLE. A PPI network analysis with Cytoscape narrowed it to the top 10 genes. LASSO regression selected EIF2AK2, PARP9, and IFI27 as diagnostic biomarkers, supported by ROC curve analysis. Immune cell infiltration profiles were nearly identical between ischemic stroke and SLE. 9.4T MR imaging, H&E and Nissl staining confirmed ischemic stroke in the MCAO model, and qPCR analysis confirmed elevated expression of the three hub genes. Our study provides evidence for common diagnostic indicators and disease mechanisms in ischemic stroke and SLE, offering novel insights for potential therapeutic strategies targeting their shared immune cell infiltration microenvironments.
Keywords: ischemic stroke, systemic lupus erythematosus, diagnostic biomarkers 3, bioinformatics, Immune infiltration
Received: 23 Jan 2025; Accepted: 31 Mar 2025.
Copyright: © 2025 Ma, Huang and Yan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xiaoyi Ma, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
Huanhuan Yan, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, 518055, Guangdong Province, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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