OBJECTIVE: The diverse differentiation states of mononuclear macrophages are closely associated with the pathogenesis of autoimmune diseases. This study integrates single-cell RNA sequencing data from six autoimmune diseases to characterize shared and disease-specific alterations in mononuclear macrophages, with the aim of enhancing our understanding of the immune landscape in autoimmune diseases and refining clinical treatment strategies. METHODS: We collected single-cell RNA-sequencing data of autoimmune diseases including primary Sjogren's syndrome (pSS), Behçet's disease (BD), juvenile dermatomyositis (JDM), rheumatoid arthritis (RA), relapsing-remitting multiple sclerosis (RRMS), and systemic lupus erythematosus (SLE). We performed scRNA-seq analysis on 350,043 peripheral blood immune cells from autoimmune diseases patients and healthy controls, followed by validations with flow cytometry, immunohistochemical staining, and immunofluorescence. RESULTS: Fifteen mononuclear phagocyte subpopulations were clustered from peripheral blood mononuclear cells (PBMCs), we identified a new subpopulation named CCL3(+) classical monocytes (cMo) that is co-amplified in multiple autoimmune diseases (BD, JDM, pSS, RRMS, SLE). The CCL3(+) cMo cells are characterized by high M1-like score, exhibiting strong inflammatory characteristics and high chemotaxis toward other monocytes. In addition, CCL3(+) cMo cells upregulated antigen presentation-related signaling pathways, and the cytotoxic CD8(+) T or memory CD8(+) T cells were strongly perturbed by their signaling crosstalk. CONCLUSION: This study delineates a comprehensive landscape of mononuclear phagocyte heterogeneity in autoimmune diseases and reveals CCL3(+) cMo as a commonly amplified immune subset associated with multiple autoimmune diseases. These findings highlight its potential role in disease mechanisms and nominate CCL3(+) cMo as a candidate therapeutic target.
Single-Cell Transcriptomics Reveals CCL3(+) Classical Monocyte Subset Linked to Autoimmune Pathogenesis.
阅读:3
作者:Xu Heng, Yuan Kai, Chen Guangyao, Luo Jing, Yan Aimin, Huang Huaijuan, Yu Xinbo, Tao Qingwen, Huang Guangrui, Xu Anlong
| 期刊: | Journal of Inflammation Research | 影响因子: | 4.100 |
| 时间: | 2025 | 起止号: | 2025 Nov 20; 18:16273-16291 |
| doi: | 10.2147/JIR.S547283 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
