肝脏缺血再灌注损伤的ceRNA网络构建和潜在治疗药物筛选
作者:
通讯作者:
作者单位:

1.西南医科大学附属医院,超声医学科,四川 泸州 646000;2.西南医科大学附属医院,肝胆外科,四川 泸州 646000;3.西南医科大学附属医院,健康管理部,四川 泸州 646000

作者简介:

邓家琦,西南医科大学附属医院住院医师,主要从事介入超声(肝脏、甲状腺)方面的研究。

基金项目:

西南医科大学校级科研基金资助项目(2019ZQN013)。


Construction of ceRNA network in liver ischemia/reperfusion injury and screening of the potential therapeutic agents
Author:
Affiliation:

1.Department of Ultrasound Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China;2.Department of Hepatobiliary Surgery, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China;3.Health Management Department, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 音频文件
  • |
  • 视频文件
    摘要:

    背景与目的 肝脏缺血-再灌注(I/R)损伤是肝移植和肝切除手术过程中常涉及的共同病理生理变化。竞争性内源性RNA(ceRNA)调控网络可参与多种疾病的发生发展。然而ceRNA网络在肝脏I/R损伤中的功能仅有少量报道。本研究旨在应用生物信息学方法构建与肝脏I/R损伤相关的ceRNA网络,同时基于差异表达基因筛选潜在治疗药物。方法 从GEO数据库获取肝脏I/R损伤的mRNA及miRNA表达芯片数据。使用R语言中的limma包进行基因差异表达分析,并使用ggplot2包进行散点图、火山图和热图绘制。使用String数据库及Cytoscape软件进行蛋白互作(PPI)网络构建。利用Metascape数据库对筛选出的差异mRNA进行GO/KEGG功能富集分析。通过转录调控网络数据库分析可能调控这些差异基因的转录因子。使用miRTarBase数据库构建miRNA-差异表达基因网络。通过starBase:ceRNA数据库构建ceRNA网络。使用比较毒物基因组学数据库(CTD)筛选对关键差异基因表达具有潜在作用的天然药物。结果 从GEO数据库获得2个肝脏I/R损伤mRNA数据集(GSE10654和GSE117066)和1个肝脏I/R损伤miRNA数据集(GSE72315)。通过limma包及Venn图分析mRNA表达数据集,筛选到16个在I/R组上调表达,在缺血后适应(IPO)组下调表达的基因;7个在I/R组下调表达,在IPO组上调表达的基因。GO/KEGG功能富集分析结果显示差异基因主要参细胞死亡的正调控及对细胞外刺激反应的生物学过程,并参与MAPK信号通路。转录调控网络数据库分析获得6个转录因子(Trp53、Cebpb、Crebbp、Fos、Nfkb1及SP1)可能参与这些差异基因的调控。通过miRTarBase数据库分析,并结合GSE72315数据集中miRNA在I/R损伤后的差异表达,获得两个可能在肝脏I/R损伤中发挥重要的作用miRNA-mRNA轴(mmu-miR-32-5p-Btg2与mmu-miR-9-5p-Mt2)。通过starBase:ceRNA数据库分析,最终获得9条ceRNA网络,分别是:XIST/MEG8/LINC00963/MALAT1-miR-32-5p-Btg2轴、XIST/NEAT1-miR-132-3p-Btg2轴及HSPA9P1/RALGAPA1P1/RPS26P39-miR-9-5p-Dusp6轴。CTD数据库筛选到7种植物药(槲皮素、白藜芦醇、染料木黄酮、香豆雌酚、姜黄素、辣椒素及东莨菪碱)可降低关键基因的表达发挥潜在治疗作用。结论 通过生物信息学方法筛选了肝脏I/R损伤过程中的关键ceRNA网络及治疗的潜在天然药物,为进一步研究肝脏I/R损伤的发病机制及治疗药物提供重要依据。

    Abstract:

    Background and Aims Liver ischemia/reperfusion (I/R) injury is a common pathophysiological change often involved in liver transplantation and hepatectomy. Competing endogenous RNA (ceRNA) regulatory network can participate in the occurrence and development of many diseases. However, there are only a few reports on the function of ceRNA network in liver I/R injury. This study was conducted to construct a ceRNA network related to liver I/R damage via bioinformatics approaches, and meanwhile to screen potential therapeutic drugs based on the differentially expressed genes.Methods The mRNA and miRNA expression chip data of liver I/R damage were obtained from the GEO database. Gene differential expression analysis was performed using the limma package in the R language, and the scatter plots, volcano plots and heat maps were drawn using the ggplot2 package. The protein-protein interaction (PPI) network was constructed using String database and Cytoscape software. The GO/KEGG function enrichment analyses were performed on the differentially expressed mRNAs screened out using Metascape database. The transcription factors that may regulate these differentially expressed genes were analyzed through the transcriptional regulatory network database. The miRNA-differentially expressed gene network was constructed using miRTarBase database. A ceRNA network was constructed through starBase: ceRNA database. The natural medicines that have potential effects on the expressions of key differentially expressed gene were screened using the Comparative Toxicogenomics Database (CTD).Results Two liver I/R injury mRNA data sets (GSE10654 and GSE117066) and one liver I/R injury miRNA data set (GSE72315) were obtained from the GEO database. A total of 16 genes up-regulated in I/R group and down-regulated in ischemic postconditioning (IPO) group, and 7 genes down-regulated in I/R group and up-regulated in IPO group were screened out by analyzing the mRNA expression data set using limma package and Venn diagram. The results of GO/KEGG functional enrichment analyses showed that the differential genes were mainly involved in the positive regulation of cell death and the biological process of response to extracellular stimuli, and participated in the MAPK signaling pathway. Transcription regulatory network database analysis revealed that six transcription factors (Trp53, Cebpb, Crebbp, Fos, Nfkb1 and SP1) may be involved in the regulation of these differentially expressed genes., two miRNA-mRNA axes (mmu-miR-32-5p-Btg2 and mmu-miR-9-5p-Mt2) may play an important role in liver I/R injury were obtained through miRTarBase database analysis and combined with the differential expression of miRNAs after I/R injury in the GSE72315 data set. Through starBase: ceRNA database analysis, 9 ceRNA networks were finally obtained, namely, the XIST/MEG8/LINC00963/MALAT1-miR-32-5p-Btg2 axis, XIST/NEAT1-miR-132-3p-Btg2 axis and HSPA9P1/RALGAPA1P1/RPS26P39-miR-9-5p-Dusp6 axis. Seven botanicals (quercetin, resveratrol, genistein, couestrol, curcumin, capsaicin, and scopolamine) that could exert potential therapeutic effects by reducing the expressions of key genes were screened out in the CTD database.Conclusion The important ceRNA networks in the process of hepatic I/R injury and potential therapeutic drugs are screened through bioinformatics analysis, which provide an important basis for further research of the pathogenesis of liver I/R injury and its therapeutic drugs.

    表 1 改善肝脏I/R损伤的天然药物汇总Table 1 Summary of natural medicines to improve liver I/R injury
    表 3 改善肝脏I/R损伤的化学药物汇总Table 3 Summary of chemical drugs to improve liver I/R injury
    表 2 改善肝脏I/R损伤的天然药物汇总(续)Table 2 Summary of natural medicines to improve liver I/R injury (continued)
    Fig.
    图1 GSE10654与GSE117066数据集基因表达情况 A-B:GSE10654与GSE117066数据集总基因散点图(红色表示基因上调,蓝色表示基因下调);C-D:GSE10654与GSE117066数据集总基因火山图Fig.1 Gene expressions in GSE10654 and GSE117066 datasets A-B: Scatter plot of total genes in GSE10654 and GSE117066 datasets (red color standing for up-regulation of genes, blue color standing for down-regulation of genes); C-D: Total gene volcano map of GSE10654 and GSE117066 datasets
    图2 GSE10654与GSE117066数据集差异基因的表达情况 A:GSE10654与GSE117066上调或下调基因的Venn图分析;B:GSE10654与GSE117066数据集共同上调或下调基因的表达情况Fig.2 The expressions of differential genes between GSE10654 and GSE117066 datasets A: Venn diagram analysis of up-regulated or down-regulated genes between GSE10654 and GSE117066; B: The expression of co-up-regulated or co-down-regulated genes in the GSE10654 and GSE117066 datasets
    图3 与I/R损伤相关的差异基因PPI网络可视化分析 A:GSE117066数据集总基因散点图(红色表示基因上调,蓝色表示基因下调);B:GSE117066数据集总基因火山图;C:Venn图分析;D:PPI网络可视化分析Fig.3 V isualized analysis of PPI network of differential genes related to I/R injury A: Scatter plot of the total genes in the GSE117066 dataset (red color standing for up-regulation of genes, blue color standing for down-regulation of genes); B: Total gene volcano map of GSE117066 dataset; C: Venn diagram analysis; D: PPI network visualization analysis
    图4 与I/R损伤相关的差异基因功能富集分析 A:GO/KEGG功能富集分析;B:转录因子富集分析Fig.4 Function enrichment analysis of differentially expressed genes related to I/R injury A: GO/KEGG function enrichment analysis; B: Transcription factor enrichment analysis
    图5 与I/R损伤相关的差异miRNA A:与差异基因结合的miRNA网络分析;B:miRNA在I/R组中的表达;C:与I/R损伤相关miRNA网络Fig.5 Differentially expressed miRNAs related to I/R injury A: Analysis of miRNA networks combined with differentially expressed genes; B: Expressions of miRNA in I/R group; C: The miRNA network associated with I/R injury
    图6 与I/R损伤相关的ceRNA网络Fig.6 The ceRNA network associated with I/R injury
    图7 与I/R损伤治疗相关的药物-靶点网络 (▲表示药物,⚪表示靶点,红色直线表示下调表达,绿色虚线表示上调表达)Fig.7 Drug-target network related to I/R injury treatment (▲ standing for drug, ⚪ standing for target, the red straight line standing for the down-regulated expression, and the green dashed line standing for up-regulated expression)
    参考文献
    相似文献
    引证文献
引用本文

邓家琦,钱保林,张丽云,况容,李明星.肝脏缺血再灌注损伤的ceRNA网络构建和潜在治疗药物筛选[J].中国普通外科杂志,2021,30(7):822-835.
DOI:10.7659/j. issn.1005-6947.2021.07.009

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:2021-04-02
  • 最后修改日期:2021-06-14
  • 录用日期:
  • 在线发布日期: 2021-08-25