POS0390 GENES OF “DEFENSE RESPONSE TO VIRUS” IN PERIPHERAL BLOOD OF ANTI-MDA5 POSITIVE DERMATOMYOSITIS WERE UPREGULATED AS COMPARE WITH OTHER FORMS OF DERMATOMYOSITIS. ~SUPPRESSING RIG-I LIKE RECEPTOR SIGNALING OR TYPE 1/2 INTERFERON SIGNALING WERE THE KEYS FOR SURVIVAL.

Abstract

BackgroundAnti-melanoma differentiation-associated gene 5–positive dermatomyositis (MDA5 DM) is a rare but distinct subtype of idiopathic inflammatory myopathy (IIM) that is characterized by high mortality due to rapid progressive interstitial lung disease (ILD). MDA5 is a cytosolic protein and a family of retinoic-acid inducible gene-I (RIG-I) like receptor, which functions as a virus RNA sensor and induces the production of type I interferons (IFN-I) and proinflammatory cytokines. This leads to the death of infected cells and the activation of the antigen-specific antiviral immune response. Although the pathogenesis of MDA5 DM is largely unknown, a hypothesis that pathogenic involvement of anti-MDA5 antibodies has been proposed. Recently, similarities have been noted between multifaceted features of COVID-19 and MDA5 DM, which suggests shared underlying autoinflammatory mechanisms.ObjectivesTo detect the critical actors in the pathogenesis of MDA5 DM by gene expression analysis of peripheral blood.MethodsTotal of 31 DM cases were investigated, including anti-aminoacyl-tRNA synthetase positive (ARS) DM (n=12), MDA5 DM (n=7, survivor=3) and others (n=12). Peripheral blood was drawn at baseline and 2 to 3 months after treatments. Total RNAs were then extracted with using PAXgene miRNA kit. After quantifying the expressions of transcripts by multiplex sequencing. And then, hierarchical clustering analysis, enrichment analysis using gene ontology (GO) terms, single sample gene set enrichment analysis (ssGSEA) and weighted gene co-expression network analysis (WGCNA) were performed.ResultsThe hierarchical clustering with expression profiles of peripheral blood at baseline showed major 3 clusters. Interestingly, ARS DM cases were segregated into right side of the 3rd cluster while MDA5 DM cases fell into 1st and 2nd clusters. ARS and MDA5 DM were clearly discriminated if differentially expressed genes (DEGs) between these subtypes of DM were analyzed. By GO enrichment analysis, the terms, such as related to “defense response to virus” including “type1 interferon signaling pathway” were found in the DEGs. In the MDA5 DM cases, ssGSEA revealed that genes of “Fcγ receptor mediated phagocytosis pathway” or “complement and coagulation cascade” were significantly enriched and WGCNA showed that pathways of “T-cell antigen receptor signaling” or “lung fibrosis” were significantly upregulated. Next, we also investigated the DEGs of peripheral blood at 2-3 months after treatment between survival and fatal cases in MDA5 DM. We found that suppressing RIG-I like receptor and type 1 and type 2 interferon (IFN) signaling were the keys for survival.ConclusionMDA5 is a key sensor of several RNA viruses including coronavirus families and then activate antiviral gene transcription such as type 1 IFN genes, leading to establish an antiviral host response. As the pulmonary damage of COVID-19 is known to be difficult to distinguish from the ILD associated with anti-MDA5 DM, the life-threating ILD of MDA5 DM may be caused by the over-activation of RIG-I like receptor signaling via MDA5. The hypothesis is supported by our findings that the defining features of MDA5 DM are activation of “type 1 IFN pathways” and antigen-specific antiviral immune responses including “Fcγ receptor mediated phagocytosis pathway” or “T-cell antigen receptor signaling”. As the levels of anti-MDA5 antibodies reported to be important prognostic parameter, it may be involved in pathogenesis of MDA5 DM. As we found that suppression of type 1 and type 2 IFN signaling were the keys for survival, it seems to be reasonable to use inhibitors of Janus Kinases (JAK) for treatment of MDA5 DM.Disclosure of InterestsYoshinobu Koyama Speakers bureau: Abbvie, Asahikasei, Ayumi, BMS, Eli-Lilly, Mitsubishi Tanabe, Grant/research support from: Abbvie, GSK, Yoshiharu Sato: None declared, Moe Sakamoto: None declared