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Bioinformatics Analysis of Gene Expression Profiles of Sex Differences in Ischemic Stroke

Ischemic stroke (IS) is a complex disease with sex differences in epidemiology, presentations, and outcomes. However, the sex-specific mechanism underlying IS remains unclear. The purpose of this study was to identify key genes contributing to biological differences between sexes. First, we download...

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Detalles Bibliográficos
Autores principales: Zhu, Wenhao, Nan, Yinan, Wang, Shaoqing, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515108/
https://www.ncbi.nlm.nih.gov/pubmed/31183363
http://dx.doi.org/10.1155/2019/2478453
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author Zhu, Wenhao
Nan, Yinan
Wang, Shaoqing
Liu, Wei
author_facet Zhu, Wenhao
Nan, Yinan
Wang, Shaoqing
Liu, Wei
author_sort Zhu, Wenhao
collection PubMed
description Ischemic stroke (IS) is a complex disease with sex differences in epidemiology, presentations, and outcomes. However, the sex-specific mechanism underlying IS remains unclear. The purpose of this study was to identify key genes contributing to biological differences between sexes. First, we downloaded the gene expression data of GSE22255 from Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were identified using R software and related packages. Second, DEGs were separately analyzed by Gene Ontology enrichment and pathways analyses. Third, protein-protein interaction (PPI) network was constructed to further investigate the interactions of DEGs. A total of 123 DEGs were identified between sexes, including 8 upregulated and 115 downregulated genes. In the PPI network, ten key genes were identified, including IL1α, IL1β, IL6, IL8, CXCL1, CXCL2, CXCL20, CCL4, ICAM1, and PTGS2. Functional enrichment analysis revealed that these genes were mainly enriched in biological processes of immune response and apoptotic process, also in pathways of TNF and NOD-like receptor signaling. In conclusion, the above ten genes may have a protective effect on IS females through their direct or indirect involvement in biological processes of immune response and apoptotic process, as well as in TNF and NOD-like receptor signaling pathways. The results of this study may help to gain new insights into the sex-specific mechanisms underlying IS females and may suggest potential therapeutic targets for disease treatment.
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spelling pubmed-65151082019-06-10 Bioinformatics Analysis of Gene Expression Profiles of Sex Differences in Ischemic Stroke Zhu, Wenhao Nan, Yinan Wang, Shaoqing Liu, Wei Biomed Res Int Research Article Ischemic stroke (IS) is a complex disease with sex differences in epidemiology, presentations, and outcomes. However, the sex-specific mechanism underlying IS remains unclear. The purpose of this study was to identify key genes contributing to biological differences between sexes. First, we downloaded the gene expression data of GSE22255 from Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were identified using R software and related packages. Second, DEGs were separately analyzed by Gene Ontology enrichment and pathways analyses. Third, protein-protein interaction (PPI) network was constructed to further investigate the interactions of DEGs. A total of 123 DEGs were identified between sexes, including 8 upregulated and 115 downregulated genes. In the PPI network, ten key genes were identified, including IL1α, IL1β, IL6, IL8, CXCL1, CXCL2, CXCL20, CCL4, ICAM1, and PTGS2. Functional enrichment analysis revealed that these genes were mainly enriched in biological processes of immune response and apoptotic process, also in pathways of TNF and NOD-like receptor signaling. In conclusion, the above ten genes may have a protective effect on IS females through their direct or indirect involvement in biological processes of immune response and apoptotic process, as well as in TNF and NOD-like receptor signaling pathways. The results of this study may help to gain new insights into the sex-specific mechanisms underlying IS females and may suggest potential therapeutic targets for disease treatment. Hindawi 2019-04-30 /pmc/articles/PMC6515108/ /pubmed/31183363 http://dx.doi.org/10.1155/2019/2478453 Text en Copyright © 2019 Wenhao Zhu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhu, Wenhao
Nan, Yinan
Wang, Shaoqing
Liu, Wei
Bioinformatics Analysis of Gene Expression Profiles of Sex Differences in Ischemic Stroke
title Bioinformatics Analysis of Gene Expression Profiles of Sex Differences in Ischemic Stroke
title_full Bioinformatics Analysis of Gene Expression Profiles of Sex Differences in Ischemic Stroke
title_fullStr Bioinformatics Analysis of Gene Expression Profiles of Sex Differences in Ischemic Stroke
title_full_unstemmed Bioinformatics Analysis of Gene Expression Profiles of Sex Differences in Ischemic Stroke
title_short Bioinformatics Analysis of Gene Expression Profiles of Sex Differences in Ischemic Stroke
title_sort bioinformatics analysis of gene expression profiles of sex differences in ischemic stroke
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515108/
https://www.ncbi.nlm.nih.gov/pubmed/31183363
http://dx.doi.org/10.1155/2019/2478453
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