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基于生物信息学分析鉴别高雄激素与正常雄激素多囊卵巢综合征的枢纽基因和生物标志物。

Identification of Hub Genes and Biomarkers between Hyperandrogen and Normoandrogen Polycystic Ovary Syndrome by Bioinformatics Analysis.

机构信息

Department of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361003, P.R. China.

Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361003, P.R. China.

出版信息

Comb Chem High Throughput Screen. 2023;26(1):126-134. doi: 10.2174/1386207325666220404101009.

DOI:10.2174/1386207325666220404101009
PMID:35379124
Abstract

BACKGROUND

The common and divergent genetic mechanisms of hyperandrogen (HA) and normoandrogen (NA) polycystic ovary syndrome (PCOS) are currently unknown.

OBJECTIVE

This study aimed to explore the hub genes and potential mechanisms of HA and NA PCOS through bioinformatics analysis.

METHODS

The GSE137684 dataset was downloaded from the Gene Expression Omnibus (GEO) database. The co-expressed genes and differentially expressed genes (DEGs) between HA and NA PCOS samples were functionally annotated by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The protein-protein interaction (PPI) network of the DEGs was constructed and visualized using STRING and Cytoscape, respectively, and the hub genes were screened using the Cytohubba plug-in. The transcription factors (TFs) of these hub genes were identified with the JASPAR database, and the hub gene-TF regulatory network was constructed.

RESULTS

A total of 327 DEGs, including 191 upregulated and 136 downregulated genes, were identified in HA PCOS relative to NA PCOS. Ten hub genes were screened, of which MYC, CAV1, and HGF were mainly enriched in the Proteoglycans in the cancer pathway. In addition, 47 TFs were identified that were found to be involved in the regulation of hub genes.

CONCLUSION

MYC, CAV1, and HGF are potential diagnostic biomarkers and therapeutic targets for HA PCOS.

摘要

背景

高雄激素(HA)和正常雄激素(NA)多囊卵巢综合征(PCOS)的常见和不同遗传机制目前尚不清楚。

目的

本研究旨在通过生物信息学分析探讨 HA 和 NA PCOS 的枢纽基因和潜在机制。

方法

从基因表达综合数据库(GEO)下载 GSE137684 数据集。通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析对 HA 和 NA PCOS 样本之间的共表达基因和差异表达基因(DEGs)进行功能注释。使用 STRING 和 Cytoscape 分别构建和可视化 DEGs 的蛋白质-蛋白质相互作用(PPI)网络,并使用 Cytohubba 插件筛选枢纽基因。使用 JASPAR 数据库鉴定这些枢纽基因的转录因子(TFs),并构建枢纽基因-TF 调控网络。

结果

与 NA PCOS 相比,HA PCOS 中鉴定出 327 个 DEGs,包括 191 个上调基因和 136 个下调基因。筛选出 10 个枢纽基因,其中 MYC、CAV1 和 HGF 主要富集在癌症途径中的蛋白聚糖中。此外,还鉴定出 47 个 TF,它们被发现参与调节枢纽基因。

结论

MYC、CAV1 和 HGF 可能是 HA PCOS 的潜在诊断生物标志物和治疗靶点。

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