Department of Rheumatology and Immunology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Institute of Clinical Immunology, Academy of Orthopedics, Guangdong Province, Guangzhou, China.
Clin Rheumatol. 2020 Feb;39(2):425-434. doi: 10.1007/s10067-019-04751-7. Epub 2019 Nov 1.
Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by autoantibody production and multi-system involvement, but the etiology is largely unclear. This study aimed to elucidate candidate genes and pathways involved in SLE.
Three original datasets GSE72509, GSE20864, and GSE39088 were downloaded from Gene Expression Omnibus (GEO) and the data were further integrated and analyzed. Subsequently, differentially expressed genes (DEGs) between SLE patients and healthy people were identified. And then we performed gene ontology (GO) function and pathway enrichment analyses of common DEGs, and constructed a protein-protein interaction (PPI) network with STRING database. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was carried out to validate the expression levels of candidate genes in blood samples from SLE patients and healthy controls.
In total, 321 common DEGs were identified in SLE patients compared with healthy controls, including 231 upregulated and 90 downregulated genes. GO function analysis revealed that 321 common DEGs were mainly enriched in innate immune response, defense response, cytokine-mediated signaling pathway, response to interferon-alpha, and I-kappaB kinase/NF-kappaB signaling. Additionally, pathway enrichment analysis indicated that DEGs were mainly enriched in several signaling pathways associated with immune system and apoptosis, including RIG-I-like receptor signaling pathway, antigen processing and presentation, and p53 signaling pathway. The expression levels of candidate genes RPL26L1, FBXW11, FOXO1, and SMAD7 were validated by RT-qPCR analysis.
The four hub genes including RPL26L1, FBXW11, FOXO1, and SMAD7 may play key roles in the pathogenesis and development of SLE. RIG-I-like receptor signaling pathway, antigen processing and presentation pathway, and p53 signaling pathway may be closely implicated in SLE pathogenesis. Collectively, these results may provide valuable novel markers or targets for the diagnosis and treatment of SLE.Key Points• Integrated bioinformatics analysis of three profile datasets based on SLE patients and healthy controls was performed and 321 common DEGs were identified.• The 321 common DEGs were mainly enriched in biological processes related to immune responses and inflammatory responses, including innate immune response, defense response, cytokine-mediated signaling pathway, response to interferon-alpha, I-kappaB kinase/NF-kappaB signaling, whereas the three most significant cellular components were oxidoreductase complex, AIM2 inflammasome complex, and ubiquitin ligase complex.• KEGG pathway enrichment analysis indicated that common DEGs were mainly enriched in several signaling pathways associated with immune system and apoptosis, including RIG-I-like receptor signaling pathway, antigen processing and presentation, and p53 signaling pathway.• Candidate genes RPL26L1, FBXW11, FOXO1, and SMAD7 may be closely involved in the pathogenesis and development of SLE and may provide valuable novel markers or targets for the diagnosis and treatment of SLE.
系统性红斑狼疮(SLE)是一种以自身抗体产生和多系统受累为特征的复杂自身免疫性疾病,但病因在很大程度上尚不清楚。本研究旨在阐明 SLE 相关的候选基因和通路。
从基因表达综合数据库(GEO)中下载了三个原始数据集 GSE72509、GSE20864 和 GSE39088,并对其进行了进一步的整合和分析。随后,鉴定了 SLE 患者与健康人之间的差异表达基因(DEGs)。然后,我们对常见 DEGs 进行了基因本体论(GO)功能和通路富集分析,并使用 STRING 数据库构建了蛋白质-蛋白质相互作用(PPI)网络。采用逆转录定量聚合酶链反应(RT-qPCR)验证了候选基因在 SLE 患者和健康对照者血液样本中的表达水平。
与健康对照组相比,SLE 患者中共有 321 个共同的 DEGs,包括 231 个上调和 90 个下调基因。GO 功能分析显示,321 个共同 DEGs 主要富集于固有免疫反应、防御反应、细胞因子介导的信号通路、干扰素-α反应和 IκB 激酶/NF-κB 信号通路。此外,通路富集分析表明,DEGs 主要富集于几个与免疫系统和细胞凋亡相关的信号通路,包括 RIG-I 样受体信号通路、抗原加工和呈递以及 p53 信号通路。通过 RT-qPCR 分析验证了候选基因 RPL26L1、FBXW11、FOXO1 和 SMAD7 的表达水平。
包括 RPL26L1、FBXW11、FOXO1 和 SMAD7 在内的四个枢纽基因可能在 SLE 的发病机制和发展中发挥关键作用。RIG-I 样受体信号通路、抗原加工和呈递途径以及 p53 信号通路可能与 SLE 的发病机制密切相关。总之,这些结果可能为 SLE 的诊断和治疗提供有价值的新型标志物或靶点。
基于 SLE 患者和健康对照者的三个基因表达谱数据集进行了综合的生物信息学分析,鉴定出 321 个共同的 DEGs。
321 个共同的 DEGs 主要富集于与免疫反应和炎症反应相关的生物学过程,包括固有免疫反应、防御反应、细胞因子介导的信号通路、干扰素-α反应和 IκB 激酶/NF-κB 信号通路,而三个最显著的细胞成分是氧化还原酶复合物、AIM2 炎性小体复合物和泛素连接酶复合物。
KEGG 通路富集分析表明,共同的 DEGs 主要富集于几个与免疫系统和细胞凋亡相关的信号通路,包括 RIG-I 样受体信号通路、抗原加工和呈递以及 p53 信号通路。
候选基因 RPL26L1、FBXW11、FOXO1 和 SMAD7 可能与 SLE 的发病机制和发展密切相关,可能为 SLE 的诊断和治疗提供有价值的新型标志物或靶点。