Synovial Tissue Heterogeneity in Japanese Patients With Rheumatoid Arthritis Elucidated Using a Cell‐Type Deconvolution Approach

Author:

Nakajima Sotaro1ORCID,Tsuchiya Haruka1,Ota Mineto2,Ogawa Megumi1,Yamada Saeko1,Yoshida Ryochi1,Maeda Junko1,Shirai Harumi1,Kasai Taro3,Hirose Jun3,Ninagawa Keita4ORCID,Fujieda Yuichiro4ORCID,Iwasaki Takeshi5,Aizaki Yoshimi6,Kajiyama Hiroshi6,Matsushita Masakazu7,Kawakami Eiryo8,Tamura Naoto7,Mimura Toshihide6,Ohmura Koichiro5,Morinobu Akio5,Atsumi Tatsuya4,Tanaka Yoshiya9ORCID,Takeuchi Tsutomu10ORCID,Tanaka Sakae3ORCID,Okamura Tomohisa11,Fujio Keishi1ORCID

Affiliation:

1. Department of Allergy and Rheumatology, Graduate School of Medicine The University of Tokyo Tokyo Japan

2. Department of Allergy and Rheumatology and Department of Functional Genomics and Immunological Diseases, Graduate School of Medicine The University of Tokyo Tokyo Japan

3. Department of Orthopedic Surgery, Graduate School of Medicine The University of Tokyo Tokyo Japan

4. Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine Hokkaido University Sapporo Japan

5. Department of Rheumatology and Clinical Immunology, Graduate School of Medicine Kyoto University Kyoto Japan

6. Department of Rheumatology and Applied Immunology, Faculty of Medicine Saitama Medical University Saitama Japan

7. Department of Internal Medicine and Rheumatology Juntendo University School of Medicine Tokyo Japan

8. Department of Artificial Intelligence Medicine, Chiba University Graduate School of Medicine, Chiba, Japan and Advanced Data Science Project RIKEN Information R&D and Strategy Headquarters, RIKEN Yokohama Japan

9. The First Department of Internal Medicine, School of Medicine University of Occupational and Environmental Health Fukuoka Japan

10. Division of Rheumatology, Department of Internal Medicine Keio University School of Medicine Tokyo Japan

11. Department of Functional Genomics and Immunological Diseases, Graduate School of Medicine The University of Tokyo Tokyo Japan

Abstract

ObjectiveRecent advances in single‐cell RNA sequencing technology have improved our understanding of the immunological landscape of rheumatoid arthritis (RA). We aimed to stratify the synovium from East Asian patients with RA by immune cell compositions and gain insight into the inflammatory drivers of each synovial phenotype.MethodsSynovial tissues were obtained from East Asian patients in Japan with RA (n = 41) undergoing articular surgery. The cellular composition was quantified by a deconvolution approach using a public single‐cell–based reference. Inflammatory pathway activity was calculated by gene set variation analysis, and chromatin accessibility was evaluated using assay of transposase accessible chromatin–sequencing.ResultsWe stratified RA synovium into three distinct subtypes based on the hierarchical clustering of cellular composition data. One subtype was characterized by abundant HLA‐DRAhigh synovial fibroblasts, autoimmune‐associated B cells, GZMK+ GZMB+ CD8+ T cells, interleukin (IL)1‐β+ monocytes, and plasmablasts. In addition, tumor necrosis factor (TNF)‐α, interferons (IFNs), and IL‐6 signaling were highly activated in this subtype, and the expression of various chemokines was significantly enhanced. Moreover, we found an open chromatin region overlapping with RA risk locus rs9405192 near the IRF4 gene, suggesting the genetic background influences the development of this inflammatory synovial state. The other two subtypes were characterized by increased IFNs and IL‐6 signaling, and expression of molecules associated with degeneration, respectively.ConclusionThis study adds insights into the synovial heterogeneity in East Asian patients and shows a promising link with predominant inflammatory signals. Evaluating the site of inflammation has the potential to lead to appropriate drug selection that matches the individual pathology.

Funder

Japan Agency for Medical Research and Development

Publisher

Wiley

Subject

Immunology,Rheumatology,Immunology and Allergy

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