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-β 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.

中文翻译：

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多囊卵巢综合征相关ceRNA网络的生物信息学分析

简介。多囊卵巢综合征（PCOS）是由子宫内激素环境、代谢异常、遗传等因素引起的，多见于育龄妇女。大量研究报道，lncRNA对癌症的生物学过程很重要，可作为潜在的预后生物标志物。因此，我们在本文中研究了 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 标本和正常标本中 mRNA、miRNA 和 lncRNA 的表达谱。EdgeR软件包用于区分差异表达的lncRNA、miRNA和mRNA。功能富集分析由clusterProfiler R Package进行，lncRNA-miRNA-mRNA相互作用ceRNA网络分别在Cytoscape插件BiNGO和Database for Annotation, Visualization, and Integration Discovery (DAVID)中构建。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。基因本体论（GO）分析结果表明，差异表达的mRNAs（DEMs）主要富集于参与女性妊娠的母体过程、胚胎上皮的形态发生和细胞内类固醇激素受体信号通路。京都基因和基因组百科全书 (KEGG) 通路分析数据显示，DEM 主要富集与 TGF- β相关的通路。信号通路、I 型糖尿病和糖酵解/糖异生。此外，我们选择 NONHSAT123397、ENST00000564619 和 NONHSAT077997 作为关键 lncRNA，因为它们对 PCOS 的影响很大。结论。ceRNA 网络在 PCOS 中发挥重要作用。研究表明，特定的 lncRNA 与 PCOS 的发展有关。NONHSAT123397、ENST00000564619 和 NONHSAT077997 可被视为 PCOS 的潜在诊断机制和生物标志物。这一发现可能为值得进一步探索的 PCOS 机制提供更有效和更新颖的见解。