Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1784789030934675456 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9471256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yaoxinrui bioinformaticssearchingofdiagnosticmarkersandimmuneinfiltrationinpolycysticovarysyndrome AT wangxiuxia bioinformaticssearchingofdiagnosticmarkersandimmuneinfiltrationinpolycysticovarysyndrome |