Department of Rheumatoid and Immunology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China.
Biomed Res Int. 2020 Oct 17;2020:7176515. doi: 10.1155/2020/7176515. eCollection 2020.
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that can affect all organs in the body. It is characterized by overexpression of antibodies against autoantigen. Although previous bioinformatics analyses have identified several genetic factors underlying SLE, they did not discriminate between naive and individuals exposed to anti-SLE drugs. Here, we evaluated specific genes and pathways in active and recently diagnosed SLE population.
GSE46907 matrix downloaded from Gene Expression Omnibus (GEO) was analyzed using R, Metascape, STRING, and Cytoscape to identify differentially expressed genes (DEGs), enrichment pathways, protein-protein interaction (PPI), and hub genes between naive SLE individuals and healthy controls.
A total of 134 DEGs were identified, in which 29 were downregulated, whereas 105 were upregulated in active and newly diagnosed SLE cases. GO term analysis revealed that transcriptional induction of the DEGs was particularly enhanced in response to secretion of interferon- and interferon- and regulation of cytokine production innate immune responses among others. KEGG pathway analysis showed that the expression of DEGs was particularly enhanced in interferon signaling, IFN antiviral responses by activated genes, class I major histocompatibility complex (MHC-I) mediated antigen processing and presentation, and amyloid fiber formation. STAT1, IRF7, MX1, OASL, ISG15, IFIT3, IFIH1, IFIT1, OAS2, and GBP1 were the top 10 DEGs.
Our findings suggest that interferon-related gene expression and pathways are common features for SLE pathogenesis, and IFN- and IFN--inducible GBP1 gene in naive SLE were emphasized. Together, the identified genes and cellular pathways have expanded our understanding on the mechanism underlying development of SLE. They have also opened a new frontier on potential biomarkers for diagnosis, biotherapy, and prognosis for SLE.
系统性红斑狼疮(SLE)是一种慢性自身免疫性疾病,可影响体内所有器官。其特征是针对自身抗原的抗体过度表达。尽管之前的生物信息学分析已经确定了几个导致 SLE 的遗传因素,但它们并没有区分处于初始状态和接触过抗 SLE 药物的个体。在这里,我们评估了处于活动期和近期诊断为 SLE 的人群中的特定基因和通路。
使用 R、Metascape、STRING 和 Cytoscape 分析从基因表达综合数据库(GEO)下载的 GSE46907 矩阵,以鉴定处于初始状态的 SLE 个体与健康对照之间的差异表达基因(DEG)、富集通路、蛋白质-蛋白质相互作用(PPI)和枢纽基因。
共鉴定出 134 个 DEG,其中 29 个下调,105 个上调。GO 术语分析显示,DEG 的转录诱导在干扰素分泌和干扰素反应中得到特别增强,同时还包括对细胞因子产生的固有免疫反应的调控。KEGG 通路分析显示,DEG 的表达在干扰素信号转导、激活基因的 IFN 抗病毒反应、I 类主要组织相容性复合体(MHC-I)介导的抗原加工和呈递以及淀粉样纤维形成中得到特别增强。STAT1、IRF7、MX1、OASL、ISG15、IFIT3、IFIH1、IFIT1、OAS2 和 GBP1 是前 10 个 DEG。
我们的研究结果表明,干扰素相关基因表达和通路是 SLE 发病机制的共同特征,在处于初始状态的 SLE 中强调了 IFN-和 IFN-诱导的 GBP1 基因。综上所述,所鉴定的基因和细胞通路扩展了我们对 SLE 发展机制的理解。它们还为 SLE 的诊断、生物治疗和预后提供了新的潜在生物标志物。