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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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Autores principales: Yao, Xinrui, Wang, Xiuxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471256/
https://www.ncbi.nlm.nih.gov/pubmed/36118901
http://dx.doi.org/10.3389/fgene.2022.937309
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author Yao, Xinrui
Wang, Xiuxia
author_facet Yao, Xinrui
Wang, Xiuxia
author_sort Yao, Xinrui
collection PubMed
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 pubmed-94712562022-09-15 Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome Yao, Xinrui Wang, Xiuxia Front Genet Genetics 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. Frontiers Media S.A. 2022-08-31 /pmc/articles/PMC9471256/ /pubmed/36118901 http://dx.doi.org/10.3389/fgene.2022.937309 Text en Copyright © 2022 Yao and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Yao, Xinrui
Wang, Xiuxia
Bioinformatics searching of diagnostic markers and immune infiltration in polycystic ovary syndrome
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 Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471256/
https://www.ncbi.nlm.nih.gov/pubmed/36118901
http://dx.doi.org/10.3389/fgene.2022.937309
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