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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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-08-01
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Series: | Frontiers in Genetics |
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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. |
first_indexed | 2024-04-11T11:11:11Z |
format | Article |
id | doaj.art-d810413b4db04d1fbbf4bf54c1b4127d |
institution | Directory Open Access Journal |
issn | 1664-8021 |
language | English |
last_indexed | 2024-04-11T11:11:11Z |
publishDate | 2022-08-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Genetics |
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 |
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