首页|脓毒症心肌病B细胞相关基因筛选及ceRNA网络构建

脓毒症心肌病B细胞相关基因筛选及ceRNA网络构建

Screening of B-cell Related Genes and Construction of ceRNA Network in Septic Cardiomyopathys

扫码查看
目的 通过生物信息学分析筛选并验证脓毒症心肌病(septic cardiomyopathy,SCM)中B细胞相关基因(B cell-related genes,BRGs),并对其进行ceRNA网络构建,探讨BRGs在SCM中的作用机制,旨在寻找SCM早期诊断和治疗的新靶点.方法 利用GEO数据库中GSE79962和GSE63920数据集筛选共同差异基因(differential genes,DEGs),然后通过GO及KEGG分析其生物学功能,STRING在线工具分析蛋白之间相互作用,通过CytoScape的CytoHubba插件分析获得核心差异基因(Hub DEGs).另一方面,通过免疫细胞浸润分析及WGCNA分析获得B细胞相关基因模块,与Hub DEGs取交集获得B细胞相关的核心基因(B cell-related hub genes,BRHGs),并在相关数据集中验证其表达情况.最后,通过在线工具及公共数据集构建并验证了 B细胞相关的ceRNA网络.结果 GSE79962及GSE63920共筛选出29个共同DEGs;GO及KEGG富集分析提示其主要是通过细胞迁移、细胞转运及细胞成分运动的负向调控等方面发挥调控作用,其主要参与JAK-STAT信号途径;免疫细胞浸润结果显示,GSE79962数据集中SCM组B细胞含量明显低于对照组(P<0.05);WGC-NA共筛选出1781个BRGs,与CytoScape中筛选的10个Hub DEGs取交集得到BRHG(TIMP1),在线工具预测的miRNA及长链非编码RNA(long non-coding RNA,lncRNA)分别为let-7b-5p和KCNQ1OT1,相应公共数据集验证结果均具有统计学意义.成功构建B细胞相关ceRNA网络(KCNQ1OT1/let-7b-5p/TIMP1).结论 本研究发现并验证了参与SCM发病机制的BRHG(TIMP1),进一步探索了在SCM中B细胞介导的免疫反应可能的分子机制,为SCM的早期诊断和治疗提供了新的分子靶点.
Objective Bioinformatics analysis was used to screen and verify B cell-related genes(BRGs)in septic cardiomyop-athy(SCM),and construct their ceRNA network to explore the mechanism of action of BRGs in SCM.The aim is to find new targets for early diagnosis and treatment of SCM.Methods The data sets GSE79962 and GSE63920 in GEO database were used to screen common differential genes(DEGs),then their biological functions were analyzed by GO and KEGG,and the interaction between pro-teins was analyzed by STRING online tool.Core Differential Genes(Hub DEGs)were obstained via CytoScape's CytoHubba plugin a-nalysis.On the other hand,B-cell-related gene modules were obtained by immune cell infiltration analysis and WGCNA analysis,and B-cell-related hub genes(BRHGs)were obtained by intersection with Hub DEGs,and their expression was verified in related data sets.Finally,we constructed and validated B-cell-related ceRNA networks using online tools and public datasets.Results GSE79962 and GSE63920 selected 29 common DEGs;GO and KEGG enrichment analysis suggested that it plays a regulatory role mainly through cell migration,cell transport and negative regulation of cell component movement,and it is mainly involved in JAK-STAT signaling pathway;the results of immune cell infiltration showed that the content of B cells in SCM group was significantly lower than that in control group in GSE79962 dataset(P<0.05).A total of 1,781 BRGs were selected by WGCNA and intersected with 10 Hub DEGs in CytoScape to obtain BRHG(TIMP1).The miRNA and lncRNA predicted by the online tool were let-7b-5p and KC-NQ1OT1,respectively,and the verification results of corresponding public data sets were statistically significant.B-cell-associated ceRNA network(KCNQ1OT1/let-7b-5p/TIMP1)was successfully constructed.Conclusion This study identified and validated BRHG(TIMP1)involved in the pathogenesis of SCM,further explored the possible molecular mechanism of B cell-mediated immune response in SCM,and provided a new molecular target for the early diagnosis and treatment of SCM.

septic cardiomyopathyB cell related genesceRNA network modelbioinformatics analysis

陈美雪、曹庆飞、李静

展开 >

锦州医科大学附属第一医院,辽宁锦州 121000

脓毒症心肌病 B细胞相关基因 ceRNA网络模型 生物信息学分析

锦州市科技计划项目辽宁省社会科学规划基金项目锦州医科大学横向研究项目

JZ2023B034L22AZZ001H2023003

2024

锦州医科大学学报
辽宁医学院

锦州医科大学学报

影响因子:0.802
ISSN:1674-0424
年,卷(期):2024.45(3)