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实验性缺血性卒中关键免疫相关基因的鉴定与分析

Identification and analysis of key immunity-related genes in experimental ischemic stroke.

作者信息

Li Zekun, Li Xiaohan, Guo Hongmin, Zhang Zibo, Ge Yihao, Dong Fang, Zhang Fan, Zhang Feng

机构信息

Department of Rehabilitation Medicine, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, PR China.

Metabolic Diseases and Cancer Research Center, Hebei Medical University, Shijiazhuang, 050017, PR China.

出版信息

Heliyon. 2024 Aug 23;10(17):e36837. doi: 10.1016/j.heliyon.2024.e36837. eCollection 2024 Sep 15.

Abstract

The regulation of the immune system and the occurrence of inflammation are vital factors in the pathophysiology of ischemic stroke. This study aims to screen target molecules which play key roles in alleviating the brain injury following ischemic stroke via regulating neuroinflammation. Several bioinformatics methods were used to identify immune-related genes in ischemic stroke. A total of 218 genes were identified as differentially expressed genes within the GSE97537 dataset. By performing GO, KEGG, and GSEA analyses, DEGs were mainly enriched in pathways related to immunity and inflammation. By utilizing the MCODE plugin in conjunction with Cytoscape software, a total of six crucial genes were identified, including C1qb, C1qc, Fcer1g, Fcgr3a, Tyrobp, and CD14. Based on the above crucial genes, 13 miRNAs were predicted. Furthermore, 71 potential drugs with therapeutic properties that target the crucial genes were screened, including lovastatin, ASPIRIN, and PREDNISOLONE. Moreover, the results of RT-qPCR showed that compared with Sham group, the expressions of C1qb, C1qc, Fcer1g, Fcgr3a, Tyrobp, and CD14 in MCAO group were significantly increased, which was consistent with the expression trend of validation dataset and training dataset. In conclusion, immune-related genes may play a key role in ischemic stroke. In addition, six crucial genes were identified as potential biomarkers and 71 promising drugs were screened to treat ischemic stroke patients.

摘要

免疫系统的调节和炎症的发生是缺血性中风病理生理学中的重要因素。本研究旨在筛选通过调节神经炎症在减轻缺血性中风后脑损伤中起关键作用的靶分子。采用多种生物信息学方法鉴定缺血性中风中的免疫相关基因。在GSE97537数据集中,共鉴定出218个基因作为差异表达基因。通过进行GO、KEGG和GSEA分析,差异表达基因主要富集在与免疫和炎症相关的通路中。利用MCODE插件结合Cytoscape软件,共鉴定出6个关键基因,包括C1qb、C1qc、Fcer1g、Fcgr3a、Tyrobp和CD14。基于上述关键基因,预测了13个miRNA。此外,筛选出71种靶向关键基因的具有治疗特性的潜在药物,包括洛伐他汀、阿司匹林和泼尼松龙。此外,RT-qPCR结果显示,与假手术组相比,大脑中动脉闭塞(MCAO)组中C1qb、C1qc、Fcer1g、Fcgr3a、Tyrobp和CD14的表达显著增加,这与验证数据集和训练数据集的表达趋势一致。总之,免疫相关基因可能在缺血性中风中起关键作用。此外,鉴定出6个关键基因作为潜在生物标志物,并筛选出71种有前景的药物用于治疗缺血性中风患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6dc/11388793/8c025a6b1cc4/ga1.jpg

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