Tang Xiuqin, Ji Jinghua, Zhu Lili, Sun Fei, Wang Lihong, Xu Wenting
Department of Reproduction, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.
Department of Infection Management, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.
J Assist Reprod Genet. 2024 Dec;41(12):3517-3537. doi: 10.1007/s10815-024-03286-4. Epub 2024 Oct 13.
Polycystic ovary syndrome (PCOS) is a common reproductive and endocrine disorder; however, the understanding of the pathogenesis of PCOS remains unclear. Necroptosis is a newly discovered mechanism of cell death, and it is closely related to reproductive endocrine-related diseases. This study aimed to investigate the hub necroptosis-related genes in PCOS patients and its correlation with immune cell infiltration by bioinformatics methods.
The gene expression chip result matrix and the annotation matrix files of the GSE34526, GSE8157, and GSE5090 datasets were downloaded from the GEO database. We analyzed the expression and correlation of the necroptosis-related genes in all samples, constructed a diagnostic model based on all necroptosis-related genes and genes with significant differences, performed unsupervised clustering of samples and gene enrichment analysis, and evaluated the correlations between the hub gene and immune cell infiltration levels by the R packages GSVA and CIBERSORT. Finally, PPI networks were constructed using the Cytoscape software GeneMANIA plug-in, and the miRNA, transcription factors, RBP, and drugs were predicted.
Necroptosis-related genes have important relationships in the development of PCOS and are potentially associated with immune infiltration in PCOS patients.
多囊卵巢综合征(PCOS)是一种常见的生殖和内分泌紊乱疾病;然而,对PCOS发病机制的了解仍不清楚。坏死性凋亡是一种新发现的细胞死亡机制,它与生殖内分泌相关疾病密切相关。本研究旨在通过生物信息学方法研究PCOS患者中与坏死性凋亡相关的核心基因及其与免疫细胞浸润的相关性。
从GEO数据库下载GSE34526、GSE8157和GSE5090数据集的基因表达芯片结果矩阵和注释矩阵文件。我们分析了所有样本中与坏死性凋亡相关基因的表达和相关性,基于所有与坏死性凋亡相关的基因和具有显著差异的基因构建诊断模型,对样本进行无监督聚类和基因富集分析,并通过R包GSVA和CIBERSORT评估核心基因与免疫细胞浸润水平之间的相关性。最后,使用Cytoscape软件的GeneMANIA插件构建蛋白质-蛋白质相互作用(PPI)网络,并预测微小RNA(miRNA)、转录因子、RNA结合蛋白(RBP)和药物。
与坏死性凋亡相关的基因在PCOS的发生发展中具有重要关系,并且可能与PCOS患者的免疫浸润有关。