外周血单核细胞中涉及 LINC00482 和 PRRC2B 的 ceRNA 调控网络的鉴定和特征描述:对慢性阻塞性肺病发病机制和诊断的影响》。

IF 2.7 3区 医学 Q2 RESPIRATORY SYSTEM
Wenjie Huang, Ting Luo, Mengqiu Lan, Wenting Zhou, Ming Zhang, Lihong Wu, Zhenni Lu, Li Fan
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引用次数: 0

摘要

目的:慢性阻塞性肺疾病(COPD)是全球第三大死亡原因,其特征是免疫细胞(巨噬细胞和单核细胞)在肺部的大量浸润。现有研究强调了竞争性内源性 RNA(ceRNA)调控网络在慢性阻塞性肺病发展过程中的关键作用,但单核细胞中 ceRNA 网络的复杂性和特点仍未得到探讨:我们从基因表达总库(GEO)数据库的GSE146560、GSE102915和GSE71220中下载了信使RNA(mRNA)、微RNA(miRNA)和长非编码RNA(lncRNA)芯片数据。这些数据用于鉴定差异表达的 mRNA(DEmRNA)、miRNA(DEmiRNA)和 lncRNA(DElncRNA)。与 DElncRNA 结合的预测 miRNA 与 DEmiRNA 相交,形成一组相交的 miRNA。然后用这组mRNA预测潜在的结合mRNA,与DEmRNA相交,并使用R软件和STRING数据库进行功能富集分析。最后利用 Cytoscape 构建了三重调控网络和枢纽基因。比较毒物组学数据库(CTD)被用于疾病相关性预测,ROC曲线分析评估了诊断的准确性:我们的研究确定了 5 个 lncRNA、4 个 miRNA 和 149 个 mRNA 的差异表达。我们构建了一个lncRNA-miRNA-mRNA调控网络,并通过枢纽分析选出了枢纽基因。富集分析突出了与细胞运动和基因表达调控相关的术语。我们建立了一个与慢性阻塞性肺病诊断相关的 LINC00482-has-miR-6088-PRRC2B ceRNA 网络。ROC 分析证明了这些基因的诊断价值。此外,在 COPD PBMCs 中观察到 LINC00482 和 PRRC2B 的表达呈正相关。CTD 数据库表明它们参与了炎症反应:总之,我们的研究不仅发现了慢性阻塞性肺病外周血单核细胞(PBMCs)中的关键枢纽基因,还构建了一个 ceRNA 调控网络。这有助于通过生物信息学分析了解慢性阻塞性肺病的病理生理过程,扩展我们对慢性阻塞性肺病的认识,并为慢性阻塞性肺病的潜在诊断和治疗靶点奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification and Characterization of a ceRNA Regulatory Network Involving LINC00482 and PRRC2B in Peripheral Blood Mononuclear Cells: Implications for COPD Pathogenesis and Diagnosis.

Purpose: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide, characterized by intense lung infiltrations of immune cells (macrophages and monocytes). While existing studies have highlighted the crucial role of the competitive endogenous RNA (ceRNA) regulatory network in COPD development, the complexity and characteristics of the ceRNA network in monocytes remain unexplored.

Methods: We downloaded messenger RNA (mRNA), microRNA (miRNA), and long noncoding RNA (lncRNA) microarray data from GSE146560, GSE102915, and GSE71220 in the Gene Expression Omnibus (GEO) database. This data was used to identify differentially expressed mRNAs (DEmRNAs), miRNAs (DEmiRNAs), and lncRNAs (DElncRNAs). Predicted miRNAs that bind to DElncRNAs were intersected with DEmiRNAs, forming a set of intersecting miRNAs. This set was then used to predict potential binding mRNAs, intersected with DEmRNAs, and underwent functional enrichment analysis using R software and the STRING database. The resulting triple regulatory network and hub genes were constructed using Cytoscape. Comparative Toxicomics Database (CTD) was utilized for disease correlation predictions, and ROC curve analysis assessed diagnostic accuracy.

Results: Our study identified 5 lncRNAs, 4 miRNAs, and 149 mRNAs as differentially expressed. A lncRNA-miRNA-mRNA regulatory network was constructed, and hub genes were selected through hub analysis. Enrichment analysis highlighted terms related to cell movement and gene expression regulation. We established a LINC00482-has-miR-6088-PRRC2B ceRNA network with diagnostic relevance for COPD. ROC analysis demonstrated the diagnostic value of these genes. Moreover, a positive correlation between LINC00482 and PRRC2B expression was observed in COPD PBMCs. The CTD database indicated their involvement in inflammatory responses.

Conclusion: In summary, our study not only identified pivotal hub genes in peripheral blood mononuclear cells (PBMCs) of COPD but also constructed a ceRNA regulatory network. This contributes to understanding the pathophysiological processes of COPD through bioinformatics analysis, expanding our knowledge of COPD, and providing a foundation for potential diagnostic and therapeutic targets for COPD.

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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
372
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed journal of therapeutics and pharmacology focusing on concise rapid reporting of clinical studies and reviews in COPD. Special focus will be given to the pathophysiological processes underlying the disease, intervention programs, patient focused education, and self management protocols. This journal is directed at specialists and healthcare professionals
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