Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome

被引:9
|
作者
Yao, Xinrui [1 ]
Wang, Xiuxia [1 ]
机构
[1] China Med Univ, Shengjing Hosp, Ctr Reprod Med, Shenyang, Peoples R China
基金
中国国家自然科学基金;
关键词
polycystic ovary syndrome; bioinformatics analysis; diagnostic markers; CIBERSORT; immune infiltration; potential therapeutic compounds; DIFFERENTIAL GENE-EXPRESSION; OMENTAL ADIPOSE-TISSUE; INSULIN-RESISTANCE; CYSTIC-FIBROSIS; WOMEN; CELLS; PREVALENCE; MUTATIONS; CRITERIA; SLC26A8;
D O I
10.3389/fgene.2022.937309
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Polycystic ovary syndrome (PCOS) is one of the most common endocrine diseases in reproductive-aged women, and it affects numerous women worldwide. This study aimed to identify potential diagnostic markers and explore the infiltration of immune cells in PCOS, contributing to the development of potential therapeutic drugs for this disease. We identified five key genes: CBLN1 (AUC = 0.924), DNAH5 (AUC = 0.867), HMOX1 (AUC = 0.971), SLC26A8 (AUC = 0,933), and LOC100507250 (AUC = 0.848) as diagnostic markers of PCOS. Compared with paired normal group, naive B cells, gamma delta T cells, resting CD4 memory T cells, and activated CD4 memory T cells were significantly decreased in PCOS while M2 macrophages were significantly increased. Significant correlations were presented between the five key genes and the components of immune infiltrate. The results of CMap suggest that four drugs, ISOX, apicidin, scriptaid, and NSC-94258, have the potential to reverse PCOS. The present study helps provide novel insights for the prevention and treatment of PCOS, and immune cell infiltration plays a role that cannot be ignored in the occurrence and progression of the disease.
引用
收藏
页数:13
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