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转录组测序数据揭示钙化性主动脉瓣疾病中的lncRNA-miRNA-mRNA调控网络。

Transcriptome Sequencing Data Reveal LncRNA-miRNA-mRNA Regulatory Network in Calcified Aortic Valve Disease.

作者信息

Huang Kai, Wu Lujia, Gao Yuan, Li Qin, Wu Hao, Liu Xiaohong, Han Lin

机构信息

Department of Cardiovascular Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China.

出版信息

Front Cardiovasc Med. 2022 May 26;9:886995. doi: 10.3389/fcvm.2022.886995. eCollection 2022.

Abstract

BACKGROUND

Calcified aortic valve disease (CAVD) is one of the most common valvular heart diseases in the elderly population. However, no effective medical treatments have been found to interfere with the progression of CAVD, and specific molecular mechanisms of CAVD remain unclear.

MATERIALS AND METHODS

Transcriptome sequencing data of GSE55492 and GSE148219 were downloaded from the European Nucleotide Archive, and the microarray dataset, GSE12644 was acquired from the Gene Expression Omnibus database. Software, including FastQC, HISAT2, samtools, and featureCounts was applied to generate the read count matrix. The "Limma" package in R was utilized to analyze differentially expressed genes (DEGs). Thereafter, weighted gene co-expression network analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and the protein-protein interaction (PPI) network were used to identify hub genes associated with CAVD, which were further validated by receiver operating characteristic curve (ROC) analysis using GSE12644. The long non-coding RNA (LncRNA)-mediated regulatory network was established based on the differentially expressed LncRNAs and hub genes, which were detected using quantitative real-time PCR (qRT-PCR) in clinical samples and valve interstitial cells. Moreover, CIBERSORT was used to calculate the expression distribution of immune cell infiltration in CAVD.

RESULTS

A total of 126 DEGs were included in the PPI network. PI3K-Akt signaling pathway, ECM-receptor interaction, hematopoietic cell lineage, cell adhesion molecules, and focal adhesion were the most enriched pathways revealed by KEGG. Four LncRNAs, including TRHDE-AS1, LINC00092, LINC01094, and LINC00702 were considered the differentially expressed LncRNA. SPP1, TREM1, GPM6A, CCL19, CR1, NCAM1, CNTN1, TLR8, SDC1, and COL6A6 were the 10 hub genes identified to be associated with CAVD. Moreover, the calcified aortic valve samples had a greater level of Tregs, naïve B cells, and M0 macrophages than the noncalcified ones, whereas CAVD samples had a lower M2 macrophage expression compared to the noncalcified valve tissues.

CONCLUSION

The current study identified SPP1, TREM1, TLR8, SDC1, GPM6A, and CNTN1 as hub genes that could potentially be associated with CAVD. The LINC00702-miR-181b-5p-SPP1 axis might participate in the development of CAVD. Additionally, M2 macrophages, Tregs, naïve B cells, and M0 macrophages might possibly play a role in the initiation of CAVD.

摘要

背景

钙化性主动脉瓣疾病(CAVD)是老年人群中最常见的瓣膜性心脏病之一。然而,尚未发现有效的药物治疗方法来干预CAVD的进展,其具体分子机制仍不清楚。

材料与方法

从欧洲核苷酸档案馆下载GSE55492和GSE148219的转录组测序数据,并从基因表达综合数据库获取微阵列数据集GSE12644。应用包括FastQC、HISAT2、samtools和featureCounts在内的软件生成读数计数矩阵。利用R中的“Limma”包分析差异表达基因(DEG)。此后,采用加权基因共表达网络分析、基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析以及蛋白质-蛋白质相互作用(PPI)网络来鉴定与CAVD相关的枢纽基因,并使用GSE12644通过受试者工作特征曲线(ROC)分析进一步验证。基于差异表达的长链非编码RNA(LncRNA)和枢纽基因建立LncRNA介导的调控网络,并在临床样本和瓣膜间质细胞中使用定量实时PCR(qRT-PCR)进行检测。此外,使用CIBERSORT计算CAVD中免疫细胞浸润的表达分布。

结果

PPI网络共纳入126个DEG。PI3K-Akt信号通路、细胞外基质-受体相互作用、造血细胞谱系、细胞粘附分子和粘着斑是KEGG显示的最富集的通路。包括TRHDE-AS1、LINC00092、LINC01094和LINC00702在内的4种LncRNA被认为是差异表达的LncRNA。鉴定出SPP1、TREM1、GPM6A、CCL19、CR1、NCAM1、CNTN1、TLR8、SDC1和COL6A6这10个与CAVD相关的枢纽基因。此外,钙化主动脉瓣样本中的调节性T细胞、幼稚B细胞和M0巨噬细胞水平高于非钙化样本,而与非钙化瓣膜组织相比,CAVD样本中的M2巨噬细胞表达较低。

结论

本研究确定SPP1、TREM1、TLR8、SDC1、GPM6A和CNTN1为可能与CAVD相关的枢纽基因。LINC00702-miR-181b-5p-SPP1轴可能参与CAVD的发生发展。此外,M2巨噬细胞、调节性T细胞、幼稚B细胞和M0巨噬细胞可能在CAVD的起始中发挥作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38f4/9204424/305f5b546294/fcvm-09-886995-g001.jpg

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