血管样本生物信息学分析鉴定烟雾病相关的潜在关键基因  

Bioinformatics Analysis of Blood Vessel Samples to Identify Potentially Key Genes Associated with Moyamoya Disease

作　　者：刘洋[1] 杨俊华 吴俊[1] 王硕[1] LIU Yang;YANG Junhua;WU Jun;WANG Shuo(Department of Neurosurgery,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China)

机构地区：[1]首都医科大学附属北京天坛医院神经外科,北京100070

出　　处：《中国卒中杂志》2024年第4期431-439,共9页Chinese Journal of Stroke

摘　　要：目的本研究对烟雾病患者血管样本的差异表达基因(differentially expressed genes,DEGs)进行生物信息学鉴定和分析,旨在探讨烟雾病的潜在发病机制。方法本研究以烟雾病和颈内动脉瘤患者大脑血管样本为研究对象。利用R语言线性模型微阵列数据(linear models for microarray data,limma)分析包对基因表达综合数据库(gene expression omnibus,GEO)中的GSE141025数据集进行分析,该数据集涵盖4例烟雾病患者和4例颈内动脉瘤患者的大脑中动脉和颞浅动脉样本各1个,共计16个样本。选择烟雾病患者的大脑中动脉、颞浅动脉及颈内动脉瘤患者的颞浅动脉共12个样本进行DEGs筛选。通过R语言功能富集分析工具包clusterProfiler,对筛选出的DEGs进行基因本体(gene ontology,GO)富集分析和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路分析。利用STRING数据库构建蛋白质-蛋白质相互作用(proteinprotein interaction,PPI)网络,并使用网络可视化软件Cytoscape进行蛋白质网络的可视化和枢纽基因筛选。结果本研究在烟雾病患者的大脑中动脉与颞浅动脉样本间鉴定出138个DEGs,包括18个上调基因和120个下调基因。GO富集分析显示,以上DEGs在细胞外基质、受体配体活性和生长因子活性等方面显著富集,可能与烟雾病相关的血管病变和神经保护机制有关。KEGG通路分析提示,DEGs主要在酪氨酸代谢通路中富集。通过PPI网络分析,共筛选出9个枢纽基因,包括骨膜蛋白(periostin,POSTN)、脑源性神经营养因子(brain derived neurotrophic factor,BDNF)、血小板衍生生长因子受体α(platelet derived growth factor receptor alpha,PDGFRA)、Thy-1细胞表面抗原(Thy-1 cell surface antigen,THY1)、ⅩⅤ型胶原蛋白α1链(collagen typeⅩⅤalpha 1 chain,COL15A1)、成纤维细胞生长因子7(fibroblast growth factor 7,FGF7)、光蛋白聚糖(l umi can,LUM)、层粘连蛋白α2亚基(laminin subunit alpObjective In this study,bioinformatics analysis of differentially expressed genes(DEGs)between blood vessel samples of patients with moyamoya disease were conducted to explore the potential pathogenesis of moyamoya disease.Methods The cerebral blood vessel samples from patients with moyamoya disease and internal carotid aneurysm were taken as research subjects.The linear models for microarray data(limma)package in R was used to analyze the GSE141025 dataset downloaded from the gene expression omnibus(GEO).The dataset included samples from 4 moyamoya disease patients and 4 internal carotid aneurysm patients,providing a total of 16 samples including one middle cerebral artery and one superficial temporal artery from each patient.A total of 12 samples of middle cerebral artery and superficial temporal artery from moyamoya disease patients and superficial temporal artery from internal carotid aneurysm patients were selected for DEGs screening.Gene ontology(GO)enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG)pathway analysis on the DEGs were conducted using the clusterProfiler package in R.The STRING database was utilized to construct the protein-protein interaction(PPI)network,and the network visualization software Cytoscape was used to visualize the protein network and to filter hub genes.Results In the comparison between middle cerebral artery and superficial temporal artery samples from patients with moyamoya disease,138 DEGs were identified,including 18 up-regulated genes and 120 down-regulated genes.GO enrichment analysis revealed that these DEGs were significantly enriched in extracellular matrix,receptor ligand activity,and growth factor activity,suggesting their potential involvement in vasculopathy and neuroprotective mechanisms associated with moyamoya disease.KEGG pathway analysis indicated that DEGs were primarily enriched in the tyrosine metabolic pathway.Through PPI network analysis,9 hub genes were filtered,including periostin(POSTN),brain derived neurotrophic factor(BDNF),platelet

关 键 词：烟雾病 生物信息学分析 基因表达数据 枢纽基因 

分 类 号：R74[医药卫生—神经病学与精神病学]