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生物信息学分析多囊卵巢综合征相关 ceRNA 网络。

Bioinformatics Analysis of ceRNA Network Related to Polycystic Ovarian Syndrome.

机构信息

Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.

Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, China.

出版信息

Comput Math Methods Med. 2021 Jun 9;2021:9988347. doi: 10.1155/2021/9988347. eCollection 2021.

DOI:10.1155/2021/9988347
PMID:34211581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8208863/
Abstract

INTRODUCTION

Polycystic ovary syndrome (PCOS) is caused by the hormonal environment in utero, abnormal metabolism, and genetics, and it is common in women of childbearing age. A large number of studies have reported that lncRNA is important to the biological process of cancer and can be used as a potential prognostic biomarker. Thus, we studied lncRNAs' roles in PCOS in this article.

METHODS

We obtained mRNAs', miRNAs', and lncRNAs' expression profiles in PCOS specimens and normal specimens from the National Biotechnology Information Gene Expression Comprehensive Center database. The EdgeR software package is used to distinguish the differentially expressed lncRNAs, miRNAs, and mRNAs. Functional enrichment analysis was carried out by the clusterProfiler R Package, and the lncRNA-miRNA-mRNA interaction ceRNA network was built in Cytoscape plug-in BiNGO and Database for Annotation, Visualization, and Integration Discovery (DAVID), respectively.

RESULTS

We distinguished differentially expressed RNAs, including 1087 lncRNAs, 14 miRNAs, and 566 mRNAs in PCOS. Among them, 410 lncRNAs, 11 miRNAs, and 185 mRNAs were contained in the ceRNA regulatory network. The outcomes from Gene Ontology (GO) analysis showed that the differentially expressed mRNAs (DEMs) were mainly enriched in response to the maternal process involved in female pregnancy, morphogenesis of embryonic epithelium, and the intracellular steroid hormone receptor signaling pathway. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis data showed that DEMs were primarily enriched in pathways related to the TGF- signaling pathway, Type I diabetes mellitus, and glycolysis/gluconeogenesis. In addition, we chose NONHSAT123397, ENST00000564619, and NONHSAT077997 as key lncRNAs due to their high bearing on PCOS.

CONCLUSION

ceRNA networks play an important role in PCOS. The research indicated that specific lncRNAs were related to PCOS development. NONHSAT123397, ENST00000564619, and NONHSAT077997 could be regarded as potential diagnostic mechanisms and biomarkers for PCOS. This discovery might provide more effective and more novel insights into the mechanisms of PCOS worthy of further exploration.

摘要

简介

多囊卵巢综合征(PCOS)是由宫内激素环境、代谢异常和遗传因素引起的,常见于育龄妇女。大量研究表明,lncRNA 对癌症的生物过程很重要,可作为潜在的预后生物标志物。因此,本文我们研究了 lncRNA 在 PCOS 中的作用。

方法

我们从国家生物技术信息基因表达综合中心数据库中获得了 PCOS 标本和正常标本的 mRNAs、miRNAs 和 lncRNAs 的表达谱。EdgeR 软件包用于区分差异表达的 lncRNAs、miRNAs 和 mRNAs。clusterProfiler R 包进行功能富集分析,Cytoscape 插件 BiNGO 和数据库注释、可视化和综合发现(DAVID)分别构建 lncRNA-miRNA-mRNA 相互作用 ceRNA 网络。

结果

我们区分了差异表达的 RNA,包括 PCOS 中的 1087 个 lncRNA、14 个 miRNA 和 566 个 mRNA。其中,ceRNA 调控网络中包含 410 个 lncRNA、11 个 miRNA 和 185 个 mRNA。GO 分析结果表明,差异表达的 mRNAs(DEMs)主要富集在参与女性妊娠、胚胎上皮形态发生和细胞内甾体激素受体信号通路的母体过程中。KEGG 通路分析数据表明,DEMs 主要富集在与 TGF-β 信号通路、I 型糖尿病和糖酵解/糖异生相关的通路中。此外,我们选择 NONHSAT123397、ENST00000564619 和 NONHSAT077997 作为关键 lncRNA,因为它们与 PCOS 关系密切。

结论

ceRNA 网络在 PCOS 中起着重要作用。研究表明,特定的 lncRNA 与 PCOS 的发生有关。NONHSAT123397、ENST00000564619 和 NONHSAT077997 可以作为 PCOS 的潜在诊断机制和生物标志物。这一发现可能为 PCOS 的机制提供更有效、更新颖的见解,值得进一步探索。

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