Abstract：
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.
摘要：
类风湿性关节炎（RA）是炎性关节炎的主要表现，以发病率和死亡率不断增加的负担为特征。涉及RA患者滑膜炎症的基因和信号通路的复杂相互作用仍未被充分理解。本研究旨在确定坏死在RA中的作用。以及它们与免疫细胞浸润的联系。差异表达分析和加权基因共表达网络分析（WGCNA）用于鉴定RA的中心基因。在这项研究中,在RA中鉴定出总共28个差异表达基因(DEGs)。利用WGCNA,生成了两个共表达模块，其中一个模块显示与RA的相关性最强。通过整合差异基因表达分析,共发现5个交叉基因。这5个中心基因，即融合在肉瘤(FUS)中，变压器2β同系物（TRA2B），真核翻译延伸因子2（EEF2），通过受试者工作特征（ROC）曲线分析，发现裂解和聚腺苷酸化特异性因子6（CPSF6）以及信号转导和转录激活因子3（STAT3）具有显着的诊断价值。各种免疫细胞浓度之间的紧密关联预计将有助于RA的诊断和治疗。此外，前面提到的免疫细胞的浸润可能对这种疾病的发生产生重大影响。
