Institute for Immunity, Transplantation and Infection.
Division of Biomedical Informatics Research.
JCI Insight. 2020 Feb 27;5(4):122312. doi: 10.1172/jci.insight.122312.
Systemic lupus erythematosus (SLE) is a complex autoimmune disease that follows an unpredictable disease course and affects multiple organs and tissues. We performed an integrated, multicohort analysis of 7,471 transcriptomic profiles from 40 independent studies to identify robust gene expression changes associated with SLE. We identified a 93-gene signature (SLE MetaSignature) that is differentially expressed in the blood of patients with SLE compared with healthy volunteers; distinguishes SLE from other autoimmune, inflammatory, and infectious diseases; and persists across diverse tissues and cell types. The SLE MetaSignature correlated significantly with disease activity and other clinical measures of inflammation. We prospectively validated the SLE MetaSignature in an independent cohort of pediatric patients with SLE using a microfluidic quantitative PCR (qPCR) array. We found that 14 of the 93 genes in the SLE MetaSignature were independent of IFN-induced and neutrophil-related transcriptional profiles that have previously been associated with SLE. Pathway analysis revealed dysregulation associated with nucleic acid biosynthesis and immunometabolism in SLE. We further refined a neutropoiesis signature and identified underappreciated transcripts related to immune cells and oxidative stress. In our multicohort, transcriptomic analysis has uncovered underappreciated genes and pathways associated with SLE pathogenesis, with the potential to advance clinical diagnosis, biomarker development, and targeted therapeutics for SLE.
系统性红斑狼疮(SLE)是一种复杂的自身免疫性疾病,具有不可预测的病程,影响多个器官和组织。我们对来自 40 项独立研究的 7471 份转录组谱进行了综合的多队列分析,以确定与 SLE 相关的稳健基因表达变化。我们确定了一个 93 基因的特征(SLE MetaSignature),该特征在 SLE 患者的血液中与健康志愿者相比存在差异表达;将 SLE 与其他自身免疫性、炎症性和感染性疾病区分开来;并在多种组织和细胞类型中持续存在。SLE MetaSignature 与疾病活动度和其他炎症的临床指标显著相关。我们使用微流控定量 PCR(qPCR)阵列在一个独立的儿科 SLE 患者队列中对 SLE MetaSignature 进行了前瞻性验证。我们发现,SLE MetaSignature 中的 93 个基因中有 14 个与 IFN 诱导和中性粒细胞相关的转录谱无关,这些转录谱先前与 SLE 有关。通路分析显示,SLE 中存在与核酸生物合成和免疫代谢相关的失调。我们进一步优化了中性粒细胞生成特征,并确定了与免疫细胞和氧化应激相关的未被充分认识的转录本。在我们的多队列转录组分析中,揭示了与 SLE 发病机制相关的未被充分认识的基因和通路,有可能推进 SLE 的临床诊断、生物标志物开发和靶向治疗。