Ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.

<h4>Objective</h4>This study aimed to identify the biomarkers and mechanisms for dermatomyositis (DM) progression at the transcriptome level through a combination of microarray and bioinformatic analyses.<h4>Method</h4>Microarray datasets for skeletal muscle of DM and healthy...

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Autores principales:	Lu Xiao, Wei Xiao, Shudian Lin
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/90207680447d4f7cae82d89a938da0d4
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spelling	oai:doaj.org-article:90207680447d4f7cae82d89a938da0d42021-12-02T20:16:07ZTen genes are considered as potential biomarkers for the diagnosis of dermatomyositis.1932-620310.1371/journal.pone.0260511https://doaj.org/article/90207680447d4f7cae82d89a938da0d42021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0260511https://doaj.org/toc/1932-6203<h4>Objective</h4>This study aimed to identify the biomarkers and mechanisms for dermatomyositis (DM) progression at the transcriptome level through a combination of microarray and bioinformatic analyses.<h4>Method</h4>Microarray datasets for skeletal muscle of DM and healthy control (HC) were downloaded from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified by using GEO2R. Enrichment analyses were performed to understand the functions and enriched pathways of DEGs. A protein-protein interaction network was constructed to identify hub genes. The top 10 hub genes were validated by other GEO datasets. The diagnostic accuracy of the top 10 hub genes for DM was evaluated using the area under the curve of the receiver operating characteristic curve.<h4>Result</h4>A total of 63 DEGs were identified between 10 DM samples and 9 HC samples. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that DEGs are mostly enriched in response to virus, defense response to virus, and type I interferon signaling pathway. 10 hub genes and 3 gene cluster modules were identified by Cytoscape. The identified hub genes were verified by GSE1551 and GSE11971 datasets and proven to be potential biomarkers for the diagnosis of DM.<h4>Conclusion</h4>Our work identified 10 valuable genes as potential biomarkers for the diagnosis of DM and explored the potential underlying molecular mechanism of the disease.Lu XiaoWei XiaoShudian LinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0260511 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lu Xiao Wei Xiao Shudian Lin Ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.
description	<h4>Objective</h4>This study aimed to identify the biomarkers and mechanisms for dermatomyositis (DM) progression at the transcriptome level through a combination of microarray and bioinformatic analyses.<h4>Method</h4>Microarray datasets for skeletal muscle of DM and healthy control (HC) were downloaded from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were identified by using GEO2R. Enrichment analyses were performed to understand the functions and enriched pathways of DEGs. A protein-protein interaction network was constructed to identify hub genes. The top 10 hub genes were validated by other GEO datasets. The diagnostic accuracy of the top 10 hub genes for DM was evaluated using the area under the curve of the receiver operating characteristic curve.<h4>Result</h4>A total of 63 DEGs were identified between 10 DM samples and 9 HC samples. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that DEGs are mostly enriched in response to virus, defense response to virus, and type I interferon signaling pathway. 10 hub genes and 3 gene cluster modules were identified by Cytoscape. The identified hub genes were verified by GSE1551 and GSE11971 datasets and proven to be potential biomarkers for the diagnosis of DM.<h4>Conclusion</h4>Our work identified 10 valuable genes as potential biomarkers for the diagnosis of DM and explored the potential underlying molecular mechanism of the disease.
format	article
author	Lu Xiao Wei Xiao Shudian Lin
author_facet	Lu Xiao Wei Xiao Shudian Lin
author_sort	Lu Xiao
title	Ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.
title_short	Ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.
title_full	Ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.
title_fullStr	Ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.
title_full_unstemmed	Ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.
title_sort	ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/90207680447d4f7cae82d89a938da0d4
work_keys_str_mv	AT luxiao tengenesareconsideredaspotentialbiomarkersforthediagnosisofdermatomyositis AT weixiao tengenesareconsideredaspotentialbiomarkersforthediagnosisofdermatomyositis AT shudianlin tengenesareconsideredaspotentialbiomarkersforthediagnosisofdermatomyositis
_version_	1718374539817123840

Ten genes are considered as potential biomarkers for the diagnosis of dermatomyositis.

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