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

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 potent...

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Main Authors: Xinrui Yao, Xiuxia Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.937309/full
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author Xinrui Yao
Xiuxia Wang
author_facet Xinrui Yao
Xiuxia Wang
author_sort Xinrui Yao
collection DOAJ
description 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, naïve 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.
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spelling doaj.art-d810413b4db04d1fbbf4bf54c1b4127d2022-12-22T04:27:33ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-08-011310.3389/fgene.2022.937309937309Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndromeXinrui YaoXiuxia WangPolycystic 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, naïve 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.https://www.frontiersin.org/articles/10.3389/fgene.2022.937309/fullpolycystic ovary syndromebioinformatics analysisdiagnostic markersCIBERSORTimmune infiltrationpotential therapeutic compounds
spellingShingle Xinrui Yao
Xiuxia Wang
Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
Frontiers in Genetics
polycystic ovary syndrome
bioinformatics analysis
diagnostic markers
CIBERSORT
immune infiltration
potential therapeutic compounds
title Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
title_full Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
title_fullStr Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
title_full_unstemmed Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
title_short Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
title_sort bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
topic polycystic ovary syndrome
bioinformatics analysis
diagnostic markers
CIBERSORT
immune infiltration
potential therapeutic compounds
url https://www.frontiersin.org/articles/10.3389/fgene.2022.937309/full
work_keys_str_mv AT xinruiyao bioinformaticssearchingofdiagnosticmarkersandimmuneinfiltrationinpolycysticovarysyndrome
AT xiuxiawang bioinformaticssearchingofdiagnosticmarkersandimmuneinfiltrationinpolycysticovarysyndrome