Cargando…
Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome
Background: Polycystic ovary syndrome (PCOS) is the most common metabolic and endocrinopathies disorder in women of reproductive age and non-alcoholic fatty liver (NAFLD) is one of the most common liver diseases worldwide. Previous research has indicated potential associations between PCOS and NAFLD...
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/PMC9174783/ https://www.ncbi.nlm.nih.gov/pubmed/35693550 http://dx.doi.org/10.3389/fmolb.2022.888194 |
_version_ | 1784722314913382400 |
---|---|
author | Chen, Yong Ma, Leikai Ge, Zhouling Pan, Yizhao Xie, Lubin |
author_facet | Chen, Yong Ma, Leikai Ge, Zhouling Pan, Yizhao Xie, Lubin |
author_sort | Chen, Yong |
collection | PubMed |
description | Background: Polycystic ovary syndrome (PCOS) is the most common metabolic and endocrinopathies disorder in women of reproductive age and non-alcoholic fatty liver (NAFLD) is one of the most common liver diseases worldwide. Previous research has indicated potential associations between PCOS and NAFLD, but the underlying pathophysiology is still not clear. The present study aims to identify the differentially expressed genes (DEGs) between PCOS and NAFLD through the bioinformatics method, and explore the associated molecular mechanisms. Methods: The microarray datasets GSE34526 and GSE63067 were downloaded from Gene Expression Omnibus (GEO) database and analyzed to obtain the DEGs between PCOS and NAFLD with the GEO2R online tool. Next, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for the DEGs were performed. Then, the protein-protein interaction (PPI) network was constructed and the hub genes were identified using the STRING database and Cytoscape software. Finally, NetworkAnalyst was used to construct the network between the targeted microRNAs (miRNAs) and the hub genes. Results: A total of 52 genes were identified as DEGs in the above two datasets. GO and KEGG enrichment analysis indicated that DEGs are mostly enriched in immunity and inflammation related pathways. In addition, nine hub genes, including TREM1, S100A9, FPR1, NCF2, FCER1G, CCR1, S100A12, MMP9, and IL1RN were selected from the PPI network by using the cytoHubba and MCODE plug-in. Then, four miRNAs, including miR-20a-5p, miR-129-2-3p, miR-124-3p, and miR-101-3p, were predicted as possibly the key miRNAs through the miRNA-gene network construction. Conclusion: In summary, we firstly constructed a miRNA-gene regulatory network depicting interactions between the predicted miRNA and the hub genes in NAFLD and PCOS, which provides novel insights into the identification of potential biomarkers and valuable therapeutic leads for PCOS and NAFLD. |
format | Online Article Text |
id | pubmed-9174783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91747832022-06-09 Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome Chen, Yong Ma, Leikai Ge, Zhouling Pan, Yizhao Xie, Lubin Front Mol Biosci Molecular Biosciences Background: Polycystic ovary syndrome (PCOS) is the most common metabolic and endocrinopathies disorder in women of reproductive age and non-alcoholic fatty liver (NAFLD) is one of the most common liver diseases worldwide. Previous research has indicated potential associations between PCOS and NAFLD, but the underlying pathophysiology is still not clear. The present study aims to identify the differentially expressed genes (DEGs) between PCOS and NAFLD through the bioinformatics method, and explore the associated molecular mechanisms. Methods: The microarray datasets GSE34526 and GSE63067 were downloaded from Gene Expression Omnibus (GEO) database and analyzed to obtain the DEGs between PCOS and NAFLD with the GEO2R online tool. Next, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for the DEGs were performed. Then, the protein-protein interaction (PPI) network was constructed and the hub genes were identified using the STRING database and Cytoscape software. Finally, NetworkAnalyst was used to construct the network between the targeted microRNAs (miRNAs) and the hub genes. Results: A total of 52 genes were identified as DEGs in the above two datasets. GO and KEGG enrichment analysis indicated that DEGs are mostly enriched in immunity and inflammation related pathways. In addition, nine hub genes, including TREM1, S100A9, FPR1, NCF2, FCER1G, CCR1, S100A12, MMP9, and IL1RN were selected from the PPI network by using the cytoHubba and MCODE plug-in. Then, four miRNAs, including miR-20a-5p, miR-129-2-3p, miR-124-3p, and miR-101-3p, were predicted as possibly the key miRNAs through the miRNA-gene network construction. Conclusion: In summary, we firstly constructed a miRNA-gene regulatory network depicting interactions between the predicted miRNA and the hub genes in NAFLD and PCOS, which provides novel insights into the identification of potential biomarkers and valuable therapeutic leads for PCOS and NAFLD. Frontiers Media S.A. 2022-05-25 /pmc/articles/PMC9174783/ /pubmed/35693550 http://dx.doi.org/10.3389/fmolb.2022.888194 Text en Copyright © 2022 Chen, Ma, Ge, Pan and Xie. 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 | Molecular Biosciences Chen, Yong Ma, Leikai Ge, Zhouling Pan, Yizhao Xie, Lubin Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome |
title | Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome |
title_full | Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome |
title_fullStr | Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome |
title_full_unstemmed | Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome |
title_short | Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome |
title_sort | key genes associated with non-alcoholic fatty liver disease and polycystic ovary syndrome |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174783/ https://www.ncbi.nlm.nih.gov/pubmed/35693550 http://dx.doi.org/10.3389/fmolb.2022.888194 |
work_keys_str_mv | AT chenyong keygenesassociatedwithnonalcoholicfattyliverdiseaseandpolycysticovarysyndrome AT maleikai keygenesassociatedwithnonalcoholicfattyliverdiseaseandpolycysticovarysyndrome AT gezhouling keygenesassociatedwithnonalcoholicfattyliverdiseaseandpolycysticovarysyndrome AT panyizhao keygenesassociatedwithnonalcoholicfattyliverdiseaseandpolycysticovarysyndrome AT xielubin keygenesassociatedwithnonalcoholicfattyliverdiseaseandpolycysticovarysyndrome |