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The Shared Mechanism and Candidate Drugs of Multiple Sclerosis and Sjögren's Syndrome Analyzed by Bioinformatics Based on GWAS and Transcriptome Data.
Hong, Xiangxiang; Wang, Xin; Rang, Xinming; Yin, Xinyue; Zhang, Xuemei; Wang, Rui; Wang, Duo; Zhao, Tingting; Fu, Jin.
Affiliation
  • Hong X; Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wang X; Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Rang X; Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Yin X; Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zhang X; Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wang R; Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Wang D; Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Zhao T; Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Fu J; Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Front Immunol ; 13: 857014, 2022.
Article in En | MEDLINE | ID: mdl-35356004
Objective: This study aimed to explore the shared mechanism and candidate drugs of multiple sclerosis (MS) and Sjögren's syndrome (SS). Methods: MS- and SS-related susceptibility genes and differentially expressed genes (DEGs) were identified by bioinformatics analysis based on genome-wide association studies (GWAS) and transcriptome data from GWAS catalog and Gene Expression Omnibus (GEO) database. Pathway enrichment, Gene Ontology (GO) analysis, and protein-protein interaction analysis for susceptibility genes and DEGs were performed. The drugs targeting common pathways/genes were obtained through Comparative Toxicogenomics Database (CTD), DrugBank database, and Drug-Gene Interaction (DGI) Database. The target genes of approved/investigational drugs for MS and SS were obtained through DrugBank and compared with the common susceptibility genes. Results: Based on GWAS data, we found 14 hub common susceptibility genes (HLA-DRB1, HLA-DRA, STAT3, JAK1, HLA-B, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DRB5, HLA-DPA1, HLA-DPB1, TYK2, IL2RA, and MAPK1), with 8 drugs targeting two or more than two genes, and 28 common susceptibility pathways, with 15 drugs targeting three or more than three pathways. Based on transcriptome data, we found 3 hub common DEGs (STAT1, GATA3, PIK3CA) with 3 drugs and 10 common risk pathways with 435 drugs. "JAK-STAT signaling pathway" was included in common susceptibility pathways and common risk pathways at the same time. There were 133 overlaps including JAK-STAT inhibitors between agents from GWAS and transcriptome data. Besides, we found that IL2RA and HLA-DRB1, identified as hub common susceptibility genes, were the targets of daclizumab and glatiramer that were used for MS, indicating that daclizumab and glatiramer may be therapeutic for SS. Conclusion: We observed the shared mechanism of MS and SS, in which JAK-STAT signaling pathway played a vital role, which may be the genetic and molecular bases of comorbidity of MS with SS. Moreover, JAK-STAT inhibitors were potential therapies for MS and SS, especially for their comorbidity.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sjogren's Syndrome / Multiple Sclerosis Limits: Humans Language: En Journal: Front Immunol Year: 2022 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sjogren's Syndrome / Multiple Sclerosis Limits: Humans Language: En Journal: Front Immunol Year: 2022 Document type: Article Affiliation country: China Country of publication: Switzerland