Zhou Yali, Wu Yongzhuo, Yang Binbin, Zhu Qinghuan, Long Haojun, Yuan Limei, Cao Wenting, Deng Danqi
Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming, People's Republic of China.
Int J Gen Med. 2025 Jun 15;18:3193-3206. doi: 10.2147/IJGM.S522871. eCollection 2025.
Abnormal cell-mediated immunoregulation plays a central role in the pathogenesis of systemic lupus erythematosus (SLE). Identifying distinct cellular subtypes and key genes is critical for understanding disease mechanisms.
Peripheral blood scRNA-seq was performed on six SLE patients and six controls. The GSE82221 transcriptomic dataset was integrated with scRNA-seq data for a comprehensive analysis. Differentially expressed genes (bulk DEGs) and different immune cells (DICs) were identified from bulk RNA-seq analysis using differential expression and single-sample gene set enrichment analysis (ssGSEA). Key cell populations that showed similar differential patterns to DICs were identified from scRNA-seq data, and a second set of DEGs (single-cell DEGs) was obtained. Key genes were defined as the intersection of bulk and single-cell DEGs with an area under the ROC curve (AUC) > 0.7. Functional enrichment, single-cell expression analysis, methylation analysis, and protein-protein interaction (PPI) network construction were performed on the key genes.
From GSE82221, 2041 bulk DEGs and 14 DICs were identified. Memory B cells exhibited consistent differences between SLE and controls in both datasets. Nineteen single-cell DEGs were identified in memory B cells, with six key genes (MX1, IFI44L, ISG15, OAS1, IFI6, IFI27) showing AUC > 0.7. PPI analysis revealed their involvement in antiviral responses. Functional enrichment highlighted pathways such as Epstein-Barr virus infection and NK cell-mediated cytotoxicity. Methylation analysis showed distinct gene regulation patterns, and pseudotime analysis demonstrated dynamic expression of IFI44L and MX1 during B cell differentiation.
This study integrated single-cell and bulk transcriptomic data to identify six key genes (MX1, IFI44L, ISG15, OAS1, IFI6, and IFI27) involved in SLE pathogenesis and highlighted the central role of memory B cells. Our findings offer new insights into SLE mechanisms and provide a theoretical basis for developing targeted therapeutic strategies.
异常的细胞介导免疫调节在系统性红斑狼疮(SLE)的发病机制中起核心作用。识别不同的细胞亚型和关键基因对于理解疾病机制至关重要。
对6例SLE患者和6例对照进行外周血单细胞RNA测序(scRNA-seq)。将GSE82221转录组数据集与scRNA-seq数据整合进行综合分析。使用差异表达和单样本基因集富集分析(ssGSEA)从批量RNA测序分析中鉴定差异表达基因(批量DEG)和不同免疫细胞(DIC)。从scRNA-seq数据中鉴定出与DIC表现出相似差异模式的关键细胞群体,并获得第二组DEG(单细胞DEG)。关键基因定义为批量和单细胞DEG的交集,其ROC曲线下面积(AUC)>0.7。对关键基因进行功能富集、单细胞表达分析、甲基化分析和蛋白质-蛋白质相互作用(PPI)网络构建。
从GSE82221中鉴定出2041个批量DEG和14个DIC。在两个数据集中,记忆B细胞在SLE患者和对照之间均表现出一致的差异。在记忆B细胞中鉴定出19个单细胞DEG,其中6个关键基因(MX1、IFI44L、ISG15、OAS1、IFI6、IFI27)的AUC>0.7。PPI分析显示它们参与抗病毒反应。功能富集突出了如爱泼斯坦-巴尔病毒感染和NK细胞介导的细胞毒性等途径。甲基化分析显示出不同的基因调控模式,拟时间分析证明IFI44L和MX1在B细胞分化过程中的动态表达。
本研究整合单细胞和批量转录组数据,鉴定出6个参与SLE发病机制的关键基因(MX1、IFI44L、ISG15、OAS1、IFI6和IFI27),并突出了记忆B细胞的核心作用。我们的发现为SLE机制提供了新见解,并为制定靶向治疗策略提供了理论基础。