Identification the role of necroptosis in rheumatoid arthritis by WGCNA network

• Published in: Autoimmunity (Chur, Switzerland) Vol. 57; no. 1; p. 2358069
• Main Authors: Nian, Feige, Wang, Yiwen, Yang, Mingfeng, Zhang, Bin
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis Group 01.12.2024
• Subjects: Arthritis, Rheumatoid - genetics; Arthritis, Rheumatoid - immunology; Arthritis, Rheumatoid - metabolism; Arthritis, Rheumatoid - pathology; Biomarkers; Computational Biology - methods; Gene Expression Profiling; Gene Expression Regulation; Gene Regulatory Networks; hub genes; Humans; immune cells; necroptosis; Necroptosis - immunology; Rheumatoid arthritis; ROC Curve; Signal Transduction - immunology; STAT3 Transcription Factor - genetics; STAT3 Transcription Factor - metabolism; Transcriptome; WGCNA; immune cells; hub genes; WGCNA; Rheumatoid arthritis; necroptosis
• ISSN: 1607-842X; 0891-6934; 1607-842X
• DOI: 10.1080/08916934.2024.2358069

Rheumatoid arthritis (RA) is the predominant manifestation of inflammatory arthritis, distinguished by an increasing burden of morbidity and mortality. The intricate interplay of genes and signalling pathways involved in synovial inflammation in patients with RA remains inadequately comprehended. This study aimed to ascertain the role of necroptosis in RA, as along with their associations with immune cell infiltration. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify central genes for RA. In this study, identified total of 28 differentially expressed genes (DEGs) were identified in RA. Utilising WGCNA, two co-expression modules were generated, with one module demonstrating the strongest correlation with RA. Through the integration of differential gene expression analysis, a total of 5 intersecting genes were discovered. These 5 hub genes, namely fused in sarcoma (FUS), transformer 2 beta homolog (TRA2B), eukaryotic translation elongation factor 2 (EEF2), cleavage and polyadenylation specific factor 6 (CPSF6) and signal transducer and activator of transcription 3 (STAT3) were found to possess significant diagnostic value as determined by receiver operating characteristic (ROC) curve analysis. The close association between the concentrations of various immune cells is anticipated to contribute to the diagnosis and treatment of RA. Furthermore, the infiltration of immune cells mentioned earlier is likely to exert a substantial influence on the initiation of this disease.