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自身免疫性疾病相关的枢纽基因是子宫内膜异位症的潜在生物标志物并与免疫微环境相关。

Autoimmune Disease-Related Hub Genes are Potential Biomarkers and Associated with Immune Microenvironment in Endometriosis.

作者信息

Yang Yin-Ting, Jiang Xi-Ya, Xu Hong-Liang, Chen Guo, Wang Sen-Lin, Zhang He-Ping, Hong Lin, Jin Qin-Qin, Yao Hui, Zhang Wei-Yu, Zhu Yu-Ting, Mei Jie, Tian Lu, Ying Jie, Hu Jing-Jing, Zhou Shu-Guang

机构信息

Department of Gynecology and Obstetrics, Maternity and Child Healthcare Hospital Affiliated to Anhui Medical University, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui, 230001, People's Republic of China.

Department of Gynecology and Obstetrics, The Fifth Clinical College of Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.

出版信息

Int J Gen Med. 2023 Jul 10;16:2897-2921. doi: 10.2147/IJGM.S417430. eCollection 2023.

Abstract

BACKGROUND

Endometriosis, a common gynecological condition, can cause symptoms such as dysmenorrhea, infertility, and abnormal bleeding, which can negatively affect a woman's quality of life. In the current study, the pathophysiological mechanisms of endometriosis are unknown, but this study suggests that endometriosis is associated with dysregulation of the autoimmune system. This study identify hub genes involved in the prevalence, identification and diagnostic value of endometriosis and autoimmune diseases, and explore the central genes and immune infiltrates, the diagnosis of endometriosis provides a new sight of thinking about diagnosis and treatment.

METHODS AND RESULTS

The relevant datasets for endometriosis GSE141549, GSE7305 and autoimmune disease-related genes (AIDGs) were downloaded from online database. Using the "limma" package and WGCNA to screen out the autoimmune disease related genes and endometriosis related genes, the autoimmune disease gene-related differential genes (AID-DEGs) progressive GO, KEGG enrichment analysis, and then using the protein interaction network and Cytoscape software to select hub genes (CXCL12, PECAM1, NGF, CTGF, WNT5A), using the "pROC" package to analyze the hub genes for the diagnostic value of endometriosis. The difference in the importance of hub genes for the diagnosis of endometriosis was analyzed by machine learning random forest, and the combined diagnostic value of hub genes was analyzed by using the Support Vector Machine (SVM) algorithm. The eutopic (EU) and ectopic endometrium (EC) immune microenvironment of endometriosis was evaluated using CIBERSORT, the correlation of hub genes to the immune microenvironment was analyzed.

CONCLUSION

The hub genes associated with AIDGs are differentially expressed in EC and EU of endometriosis and possess important value for the diagnosis of endometriosis. The hub genes have a very important impact on the immune microenvironment of endometriosis, which is important for exploring the connection between endometriosis and autoimmune diseases and provides a new insight for the subsequent study of immunotherapy and diagnosis of endometriosis.

摘要

背景

子宫内膜异位症是一种常见的妇科疾病,可引起痛经、不孕和异常出血等症状,会对女性生活质量产生负面影响。在当前研究中,子宫内膜异位症的病理生理机制尚不清楚,但本研究表明子宫内膜异位症与自身免疫系统失调有关。本研究确定了与子宫内膜异位症和自身免疫性疾病的患病率、识别及诊断价值相关的核心基因,并探索了核心基因和免疫浸润情况,为子宫内膜异位症的诊断提供了新的思路。

方法与结果

从在线数据库下载子宫内膜异位症相关数据集GSE141549、GSE7305以及自身免疫性疾病相关基因(AIDGs)。使用“limma”软件包和WGCNA筛选出自身免疫性疾病相关基因和子宫内膜异位症相关基因,对自身免疫性疾病基因相关差异基因(AID-DEGs)进行渐进式GO、KEGG富集分析,然后利用蛋白质相互作用网络和Cytoscape软件选择核心基因(CXCL12、PECAM1、NGF、CTGF、WNT5A),使用“pROC”软件包分析核心基因对子宫内膜异位症的诊断价值。通过机器学习随机森林分析核心基因对子宫内膜异位症诊断重要性的差异,利用支持向量机(SVM)算法分析核心基因的联合诊断价值。使用CIBERSORT评估子宫内膜异位症的在位(EU)和异位内膜(EC)免疫微环境,分析核心基因与免疫微环境的相关性。

结论

与AIDGs相关的核心基因在子宫内膜异位症的EC和EU中存在差异表达,对子宫内膜异位症的诊断具有重要价值。核心基因对子宫内膜异位症的免疫微环境有非常重要的影响,这对于探索子宫内膜异位症与自身免疫性疾病之间的联系具有重要意义,并为后续子宫内膜异位症的免疫治疗和诊断研究提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0a4/10348380/adb4917724c5/IJGM-16-2897-g0001.jpg

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