炎症和铁代谢对缺血性中风基因表达改变的影响:一种生物信息学方法

The impact of inflammation and iron metabolism on gene expression alterations in ischemic stroke: a bioinformatics approach.

作者信息

Wang Shengwu, Li Xuemei, Bi Youcai, Yan Chao, Chen Yunbo

机构信息

Department of Neurology, Zigong Fourth People's Hospital, Zigong, Sichuan, PR China.

Department of Vascular Surgery, Zigong Fourth People's Hospital, Zigong, Sichuan, PR China.

出版信息

Sci Rep. 2025 Apr 30;15(1):15233. doi: 10.1038/s41598-025-00369-9.

Abstract

This study explores the differential expression of inflammation and iron metabolism-related genes (IIMRDEGs) in Ischemic Stroke (IS), a major contributor to global morbidity and mortality. Using the Gene Expression Omnibus (GEO) query tool, we integrated gene expression datasets GSE22255 and GSE16561. We identified 56 differentially expressed genes (DEGs), including 42 that were upregulated and 14 downregulated, according to criteria of |logFC| > 0.5 and p < 0.05. An intersection with known IIMRDEGs revealed 16 genes with significant relevance to IS, such as SLC22A4 and DUSP1. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses indicated that these genes are mainly involved in leukocyte chemotaxis and responses to bacterial molecules, in addition to IL-17 and TNF signaling pathways. A protein-protein interaction (PPI) network of 12 IIMRDEGs identified 8 hub genes, including IL7R and ADM, which exhibited significant expression differences (p < 0.001) and potential diagnostic utility with AUC values between 0.7 and 0.9 in ROC curve analysis. Furthermore, immune infiltration analysis showed notable differences in 7 immune cell types between IS and control samples. Our findings advance the understanding of ischemic stroke mechanisms and present potential biomarkers for improving diagnosis and therapeutic strategies.

摘要

本研究探讨了炎症和铁代谢相关基因(IIMRDEGs)在缺血性中风(IS)中的差异表达,缺血性中风是全球发病和死亡的主要原因。使用基因表达综合数据库(GEO)查询工具,我们整合了基因表达数据集GSE22255和GSE16561。根据|logFC|>0.5和p<0.05的标准,我们鉴定出56个差异表达基因(DEGs),其中42个上调,14个下调。与已知的IIMRDEGs进行交集分析,发现16个与IS显著相关的基因,如SLC22A4和DUSP1。基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析表明,这些基因除了参与IL-17和TNF信号通路外,还主要参与白细胞趋化作用和对细菌分子的反应。12个IIMRDEGs的蛋白质-蛋白质相互作用(PPI)网络鉴定出8个枢纽基因,包括IL7R和ADM,它们表现出显著的表达差异(p<0.001),并且在ROC曲线分析中AUC值在0.7至0.9之间,具有潜在的诊断效用。此外,免疫浸润分析显示,IS样本与对照样本之间在7种免疫细胞类型上存在显著差异。我们的研究结果增进了对缺血性中风机制的理解,并提出了改善诊断和治疗策略的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07eb/12044060/f7fe5743fc5b/41598_2025_369_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索