OP0114 IDENTIFICATION AND FUNCTIONAL PREDICTION OF LONG NONCODING RNA RELATED TO CONNECTIVE TISSUE DISEASE-ASSOCIATED INTERSTITIAL LUNG DISEASES

Background Recently, the role of long noncoding RNA (lncRNA) in rheumatic immune diseases has attracted widespread attention 1 . However, knowledge lncRNA connective tissue disease-associated interstitial lung disease (CTD-ILD) is limited. Objectives To explore expression profile peripheral blood mononuclear cells (PBMCs) CTD-ILD patients and possible mechanisms significantly differentially expressed involved CTD-ILD, especially systemic sclerosis (SSc)-ILD rheumatoid arthritis (RA)-ILD. Methods LncRNA microarray analysis was used to identify pattern dysregulation between without associated (CTD-NILD). Differential genes were identified by bioinformatic analysis. Relative levels five lncRNAs 120 SSc RA with or ILD detected quantitative reverse-transcription PCR (qRT-PCR). Results The differential gene revealed 46 upregulated while 194 downregulated group compared CTD-NILD (Figure 1). Gene Ontology Kyoto Encyclopedia Genes Genomes pathway analyses several significant biological processes signaling pathways, including NF-kappa B pathway, IL-17 Toll-like receptor cell pathway. QRT-PCR confirmed that selected target different groups. In particular, ENST00000604692 level higher than NILD (p<0.05, Figure 1); T311354 arginase-1were group; Furthermore, area under receiver operating characteristic curve for predicting from 0.797 Conclusion This research demonstrated, first time, specific PBMCs potential signal pathways related pathogenesis CTD-ILD. can effectively distinguish group,which may be a diagnostic indicator SSc-ILD RA-ILD. References [1]Guo CJ, Xu G, Chen LL. Mechanisms Long Noncoding Nuclear Retention. Trends Biochem Sci (2020) 45(11):947-60. doi: 10.1016/j.tibs.2020.07.001. Disclosure Interests None declared