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Differentially expressed genes between systemic sclerosis and rheumatoid arthritis

BACKGROUND: Evidence is accumulating to characterise the key differences between systemic sclerosis (SSc) and rheumatoid arthritis (RA), which are similar but distinct systemic autoimmune diseases. However, the differences at the genetic level are not yet clear. Therefore, the aim of the present stu...

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Autores principales: Sun, Zhenyu, Wang, Wenjuan, Yu, Degang, Mao, Yuanqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549285/
https://www.ncbi.nlm.nih.gov/pubmed/31178673
http://dx.doi.org/10.1186/s41065-019-0091-y
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author Sun, Zhenyu
Wang, Wenjuan
Yu, Degang
Mao, Yuanqing
author_facet Sun, Zhenyu
Wang, Wenjuan
Yu, Degang
Mao, Yuanqing
author_sort Sun, Zhenyu
collection PubMed
description BACKGROUND: Evidence is accumulating to characterise the key differences between systemic sclerosis (SSc) and rheumatoid arthritis (RA), which are similar but distinct systemic autoimmune diseases. However, the differences at the genetic level are not yet clear. Therefore, the aim of the present study was to identify key differential genes between patients with SSc and RA. METHODS: The Gene Expression Omnibus database was used to identify differentially expressed genes (DEGs) between SSc and RA biopsies. The DEGs were then functionally annotated using Gene Ontology (GO) terms and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways with the Database for Annotation, Visualization and Integrated Discovery (DAVID) tools. A protein–protein interaction (PPI) network was constructed with Cytoscape software. The Molecular Complex Detection (MCODE) plugin was also used to evaluate the biological importance of the constructed gene modules. RESULTS: A total of 13,556 DEGs were identified between the five SSc patients and seven RA patients, including 13,465 up-regulated genes and 91 down-regulated genes. Interestingly, the most significantly enriched GO terms of up- and down-regulated genes were related to extracellular involvement and immune activity, respectively, and the top six highly enriched KEGG pathways were related to the same processes. In the PPI network, the top 10 hub nodes and top four modules harboured the most relevant genes contributing to the differences between SSc and RA, including key genes such as IL6, EGF, JUN, FGF2, BMP2, FOS, BMP4, LRRK2, CTNNB1, EP300, CD79, and CXCL13. CONCLUSIONS: These genes such as IL6, EGF, JUN, FGF2, BMP2, FOS, BMP4, LRRK2, CTNNB1, EP300, CD79, and CXCL13 can serve as new targets for focused research on the distinct molecular pathogenesis of SSc and RA. Furthermore, these genes could serve as potential biomarkers for differential diagnoses or therapeutic targets for treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41065-019-0091-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-65492852019-06-07 Differentially expressed genes between systemic sclerosis and rheumatoid arthritis Sun, Zhenyu Wang, Wenjuan Yu, Degang Mao, Yuanqing Hereditas Research BACKGROUND: Evidence is accumulating to characterise the key differences between systemic sclerosis (SSc) and rheumatoid arthritis (RA), which are similar but distinct systemic autoimmune diseases. However, the differences at the genetic level are not yet clear. Therefore, the aim of the present study was to identify key differential genes between patients with SSc and RA. METHODS: The Gene Expression Omnibus database was used to identify differentially expressed genes (DEGs) between SSc and RA biopsies. The DEGs were then functionally annotated using Gene Ontology (GO) terms and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways with the Database for Annotation, Visualization and Integrated Discovery (DAVID) tools. A protein–protein interaction (PPI) network was constructed with Cytoscape software. The Molecular Complex Detection (MCODE) plugin was also used to evaluate the biological importance of the constructed gene modules. RESULTS: A total of 13,556 DEGs were identified between the five SSc patients and seven RA patients, including 13,465 up-regulated genes and 91 down-regulated genes. Interestingly, the most significantly enriched GO terms of up- and down-regulated genes were related to extracellular involvement and immune activity, respectively, and the top six highly enriched KEGG pathways were related to the same processes. In the PPI network, the top 10 hub nodes and top four modules harboured the most relevant genes contributing to the differences between SSc and RA, including key genes such as IL6, EGF, JUN, FGF2, BMP2, FOS, BMP4, LRRK2, CTNNB1, EP300, CD79, and CXCL13. CONCLUSIONS: These genes such as IL6, EGF, JUN, FGF2, BMP2, FOS, BMP4, LRRK2, CTNNB1, EP300, CD79, and CXCL13 can serve as new targets for focused research on the distinct molecular pathogenesis of SSc and RA. Furthermore, these genes could serve as potential biomarkers for differential diagnoses or therapeutic targets for treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41065-019-0091-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-04 /pmc/articles/PMC6549285/ /pubmed/31178673 http://dx.doi.org/10.1186/s41065-019-0091-y Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Sun, Zhenyu
Wang, Wenjuan
Yu, Degang
Mao, Yuanqing
Differentially expressed genes between systemic sclerosis and rheumatoid arthritis
title Differentially expressed genes between systemic sclerosis and rheumatoid arthritis
title_full Differentially expressed genes between systemic sclerosis and rheumatoid arthritis
title_fullStr Differentially expressed genes between systemic sclerosis and rheumatoid arthritis
title_full_unstemmed Differentially expressed genes between systemic sclerosis and rheumatoid arthritis
title_short Differentially expressed genes between systemic sclerosis and rheumatoid arthritis
title_sort differentially expressed genes between systemic sclerosis and rheumatoid arthritis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549285/
https://www.ncbi.nlm.nih.gov/pubmed/31178673
http://dx.doi.org/10.1186/s41065-019-0091-y
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