期刊
NATURE REVIEWS RHEUMATOLOGY
卷 18, 期 7, 页码 384-397出版社
NATURE PORTFOLIO
DOI: 10.1038/s41584-022-00790-8
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资金
- Research into Inflammatory Arthritis Centre Versus Arthritis UK [22072]
- Versus Arthritis UK [22253, 22273]
- Linea D1 (Universita Cattolica del Sacro Cuore) [R4124500654]
- Ricerca Finalizzata Ministero della Salute [GR-2018-12366992]
Recent advances in single-cell omics have allowed us to discover distinct populations of synovial tissue macrophages (STMs) and redefine our understanding of STM biology. These studies contribute to a better understanding of the pathology of rheumatoid arthritis (RA) and provide new treatment opportunities.
Synovial tissue macrophages (STMs) were principally recognized as having a pro-inflammatory role in rheumatoid arthritis (RA), serving as the main producers of pathogenic tumour necrosis factor (TNF). Recent advances in single-cell omics have facilitated the discovery of distinct STM populations, providing an atlas of discrete phenotypic clusters in the context of healthy and inflamed joints. Interrogation of the functions of distinct STM populations, via ex vivo and experimental mouse models, has re-defined our understanding of STM biology, opening up new opportunities to better understand the pathology of the arthritic joint. These works have identified STM subpopulations that form a protective lining barrier within the synovial membrane and actively participate in the remission of RA. We discuss how distinct functions of STM clusters shape the synovial tissue environment in health, during inflammation and in disease remission, as well as how an increased understanding of STM heterogeneity might aid the prediction of clinical outcomes and inform novel treatments for RA. In this Review, the authors discuss the characterization of distinct synovial tissue macrophage (STM) populations and their functions in the context of the healthy and arthritic joint. They also describe how distinct STMs are specified, how they respond to danger signals and the clinical implications of understanding STM heterogeneity.
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