Zhai Junyu, Guo Fanli, Zhou Xiaonan, Zhu Kai, Li Jun, Wang Chunsheng
Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Department of Plastic Surgery, Huashan Hospital, Fudan University, Shanghai, China.
J Thorac Dis. 2023 Mar 31;15(3):1353-1363. doi: 10.21037/jtd-23-189. Epub 2023 Mar 27.
Competing endogenous RNA (ceRNA) networks play important roles in the mechanism and development of a variety of diseases. This study aimed to construct a ceRNA network of hypertrophic cardiomyopathy (HCM).
We searched the Gene Expression Omnibus (GEO) database and then analyzed the RNAs of 353 samples to explore differentially expressed lncRNAs (DELs), microRNAs (miRNAs; DEMs), and messenger RNAs (DEmRNAs) during the progression of HCM. Weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and transcription factor (TF) prediction of miRNAs were also performed, and the GO terms, KEGG pathway terms, protein-protein interaction (PPI) network, and Pearson correlation network of the DEGs were visualized with the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and through Pearson analysis. In addition, a ceRNA network related to HCM was constructed on the basis of the DELs, DEMs, and DEs. Finally, the function of the ceRNA network was explored via GO and KEGG enrichment analyses.
Through our analysis, 93 DELs (77 upregulated and 16 downregulated), 163 DEMs (91 upregulated and 72 downregulated), and 432 DEGs (238 upregulated and 194 downregulated) were screened. The functional enrichment analysis results for miRNAs showed that the miRNAs were mainly related to the VEGFR signaling network and the INFr pathway and were mainly regulated by TFs such as SOX1, TEAD1, and POU2F1. Gene set enrichment analysis (GSEA), GO analysis, and KEGG enrichment analysis showed that the DEGs were enriched in the Hedgehog signaling pathway, IL-17 signaling pathway, and TNF signaling pathway. In addition, a ceRNA network including 8 lncRNAs (e.g., LINC00324, SNHG12, and ALMS1-IT1), 7 miRNAs (e.g., hsa-miR-217, hsa-miR-184, and hsa-miR-140-5p), and 52 mRNAs (e.g., IGFBP5, TMED5, and MAGT1) was constructed. The results revealed that SNHG12, hsa-miR-140-5p, hsa-miR-217, TFRC, HDAC4, TJP1, IGFBP5, and CREB5 may form an important network involved in the pathology of HCM.
The novel ceRNA network that we have demonstrated will provide new research points about molecular mechanisms of HCM.
竞争性内源RNA(ceRNA)网络在多种疾病的发生机制和发展过程中发挥着重要作用。本研究旨在构建肥厚型心肌病(HCM)的ceRNA网络。
我们检索了基因表达综合数据库(GEO),然后分析了353个样本的RNA,以探索肥厚型心肌病进展过程中差异表达的长链非编码RNA(DEL)、微小RNA(miRNA;DEM)和信使RNA(DEmRNA)。还进行了加权基因共表达网络分析(WGCNA)、基因本体(GO)分析、京都基因与基因组百科全书(KEGG)通路分析以及miRNA的转录因子(TF)预测,并使用检索相互作用基因/蛋白质的搜索工具(STRING)数据库并通过Pearson分析对DEG的GO术语、KEGG通路术语、蛋白质-蛋白质相互作用(PPI)网络和Pearson相关网络进行可视化。此外,基于DEL、DEM和DE构建了与肥厚型心肌病相关的ceRNA网络。最后,通过GO和KEGG富集分析探索ceRNA网络的功能。
通过我们的分析,筛选出93个DEL(77个上调和16个下调)、163个DEM(91个上调和72个下调)和432个DEG(238个上调和194个下调)。miRNA的功能富集分析结果表明,miRNA主要与VEGFR信号网络和INFr通路相关,并且主要受SOX1、TEAD1和POU2F1等TF调控。基因集富集分析(GSEA)、GO分析和KEGG富集分析表明,DEG在刺猬信号通路、IL-17信号通路和TNF信号通路中富集。此外,构建了一个包含8个lncRNA(如LINC00324、SNHG12和ALMS1-IT1)、7个miRNA(如hsa-miR-217、hsa-miR-184和hsa-miR-140-5p)和52个mRNA(如IGFBP5、TMED5和MAGT1)的ceRNA网络。结果显示,SNHG12、hsa-miR-140-5p、hsa-miR-217、TFRC、HDAC4、TJP1、IGFBP5和CREB5可能形成一个参与肥厚型心肌病病理过程的重要网络。
我们所展示的新型ceRNA网络将为肥厚型心肌病的分子机制提供新的研究切入点。