Zhao Boyan, Wu Jianing, Han Mingyang, Rong Xuan, Jin Jin, Liu Shiya, Zhang Cheng, Zhang Ruotian, Chen Xin, Peng Fei, Dong Xingli, Zhao Shiguang
Department of Neurosurgery, Shenzhen University General Hospital, Shenzhen, Guangdong, China.
School of Medicine, Shenzhen University, Shenzhen, Guangdong, China.
Front Neurol. 2025 May 19;16:1517588. doi: 10.3389/fneur.2025.1517588. eCollection 2025.
Ischemic stroke (IS) ranks among the top causes of mortality and disability globally. Exosomes exert a crucial effect on maintaining a complex regulatory balance with neuroinflammation in IS. Hence, this research aimed to elucidate the roles of exosome-related genes IS. We integrated data from five IS-related datasets from the Gene Expression Omnibus (GEO) database and exosome-related genes from ExoCarta. The least absolute shrinkage and selection operator regression and random forest models were performed to detect feature genes. Search Tool for the Retrieval of Interacting Genes and Cytoscape were employed to recognize the hub genes. Enrichment analyses were conducted to examine biological processes. CIBERSORT and MCPcounter were applied to assess immune infiltration, and Principal Component Analysis was utilized to explore the associations of feature genes and hub genes with immune cells. After identified different cell types, we analyzed differentiation, developmental trajectory, and interactions of the cell populations. Middle cerebral artery occlusion models were conducted on mice, followed by quantitative polymerase chain reaction to assess the expression levels of each hub gene. We identified 13 feature genes and 10 hub genes. Through qPCR, LGALS3, CD36, TLR2, ICAM1, and CD14 were significantly upregulated after Middle Cerebral Artery Occlusion surgery. Hub genes were significantly involved in inflammatory responses, as well as chemokine signaling and JAK-STAT signaling. Immuno-infiltration analysis revealed significant differences in immune cell populations between IS and controls. Additionally, neutrophils and monocytes/macrophages were positively correlated with CD14 and LGALS3, respectively. Single-cell analysis revealed 19 cell subpopulations with detailed pseudo-time trajectory predictions, highlighting the developmental importance of MG2 microglial cells. In conclusion, our results illuminate exosomal genes, including LGALS3 and CD14, participate in the progression of IS through neuroinflammation, as well as highlight potential therapeutics to mitigate IS injury.
缺血性中风(IS)是全球死亡和残疾的主要原因之一。外泌体在维持IS中与神经炎症的复杂调节平衡方面发挥着关键作用。因此,本研究旨在阐明外泌体相关基因在IS中的作用。我们整合了来自基因表达综合数据库(GEO)的五个与IS相关数据集的数据以及来自ExoCarta的外泌体相关基因。采用最小绝对收缩和选择算子回归及随机森林模型来检测特征基因。利用检索相互作用基因的搜索工具和Cytoscape来识别枢纽基因。进行富集分析以检查生物学过程。应用CIBERSORT和MCPcounter评估免疫浸润,并利用主成分分析探索特征基因和枢纽基因与免疫细胞的关联。在确定不同细胞类型后,我们分析了细胞群体的分化、发育轨迹和相互作用。对小鼠进行大脑中动脉闭塞模型,然后通过定量聚合酶链反应评估每个枢纽基因的表达水平。我们鉴定出13个特征基因和10个枢纽基因。通过qPCR检测发现,大脑中动脉闭塞手术后,LGALS3、CD36、TLR2、ICAM1和CD14显著上调。枢纽基因显著参与炎症反应以及趋化因子信号传导和JAK-STAT信号传导。免疫浸润分析显示,IS患者与对照组之间免疫细胞群体存在显著差异。此外,中性粒细胞和单核细胞/巨噬细胞分别与CD14和LGALS3呈正相关。单细胞分析揭示了19个细胞亚群,并对其进行了详细的伪时间轨迹预测,突出了MG2小胶质细胞的发育重要性。总之,我们的结果表明,包括LGALS3和CD14在内的外泌体基因通过神经炎症参与IS的进展,并突出了减轻IS损伤的潜在治疗方法。