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ORIGINAL RESEARCH article
Front. Neurol.
Sec. Neurogenetics
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1567902
This article is part of the Research Topic Genetic Insights and Diagnostic Innovations in Cerebrovascular and Cerebrospinal Fluid Disorders View all 4 articles
Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke
Provisionally accepted- 1 Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
- 2 School of Medicine, Tongji University, Shanghai, Shanghai Municipality, China
- 3 Department of Neurology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
Introduction: This study aimed to investigate the shared molecular mechanisms underlying cardioembolic stroke (CS) and ischemic stroke (IS) using integrated bioinformatics analysis. Methods: Microarray datasets for the CS(GSE58294, blood samples from CS and controls) and IS (GSE16561, blood from IS and controls; GSE22255, peripheral blood mononuclear cells from IS and matched controls) and IS were acquired from the Gene Expression Omnibus database. Differential expression analysis and weighted gene co-expression network analysis were utilized to identify shared genes between the two diseases. Protein-protein interaction (PPI) network and topology analyses were conducted to identify the core shared genes. Three machine learning algorithms were employed to detect biomarkers from the core shared genes, and the diagnostic value of the hub genes was evaluated by establishing a predictive nomogram. Immune infiltration was evaluated using single-sample gene set enrichment analysis (ssGSEA), and pathways were analyzed with gene set enrichment analysis. Results: There were 125 shared up-regulated genes and 2 shared downregulated between CS and IS, which were mainly involved in immune inflammatory response-related biological functions. The Maximum Clique Centrality algorithm identified 25 core shared genes in the PPI network constructed using the shared genes. ABCA1, CLEC4E, and IRS2 were identified as biomarkers for both CS and IS and performed well in predicting the onset risk of CS and IS. All three biomarkers were highly expressed in both CS and IS compared to their corresponding controls. These biomarkers significantly correlated with neutrophil infiltration and autophagy activation in both CS and IS. Particularly, all three biomarkers were associated with the activation of neutrophil
Keywords: Cardioembolic stroke, ischemic stroke, biomarker, Autophagy, Neutrophil
Received: 28 Jan 2025; Accepted: 24 Mar 2025.
Copyright: © 2025 Wang and Liu. 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:
Xueyuan Liu, Department of Neurology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, 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.