Dermatomyositis: immunological landscape, biomarkers, and potential candidate drugs

Yin, Ruxue; Wang, Gangjian; Zhang, Lei; Li, Tianfang; Liu, Shengyun

doi:10.1007/s10067-020-05568-5

Cited by 4 publications

(1 citation statement)

References 55 publications

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“…In 2018, Shuoshan Xie et al discovered that IFITM2, LY6E, DDX58, and IFI6 were expressed at higher levels in the muscle tissue of patients with DM, indicating the important role of the interferon (IFN) signaling pathway in the pathogenesis of DM [ 11 ]. In 2020, one bioinformatic study has concluded that DEGs between DM and healthy control (HC) are primarily enriched in immune-related pathways [ 12 ]. Another bioinformatic study has revealed 10 hub genes, including ISG15, DDX58, IFIT3, CXCL10, and STAT1, and indicated that proinflammatory factors and IFN family proteins are highly associated with DM [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

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

Xiao

Lin

2021

PLoS ONE

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Objective 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. Method 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. Result 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. Conclusion Our work identified 10 valuable genes as potential biomarkers for the diagnosis of DM and explored the potential underlying molecular mechanism of the disease.

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Section: Introductionmentioning

confidence: 99%