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B cell subsets in adult-onset Still’s disease: potential candidates for disease pathogenesis and immunophenotyping

BACKGROUND: Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder of unknown etiology. B cells are critical participants in different rheumatic diseases, and their roles in AOSD are rarely investigated. This study aimed to unveil the B cell subset features in AOSD and provide ev...

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Autores principales: Fang, Xiangyu, Ye, Hua, Xie, Yang, Wei, Chaonan, Liu, Shuyan, Yao, Haihong, Li, Zhanguo, Jia, Yuan, Hu, Fanlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268358/
https://www.ncbi.nlm.nih.gov/pubmed/37322557
http://dx.doi.org/10.1186/s13075-023-03070-2
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author Fang, Xiangyu
Ye, Hua
Xie, Yang
Wei, Chaonan
Liu, Shuyan
Yao, Haihong
Li, Zhanguo
Jia, Yuan
Hu, Fanlei
author_facet Fang, Xiangyu
Ye, Hua
Xie, Yang
Wei, Chaonan
Liu, Shuyan
Yao, Haihong
Li, Zhanguo
Jia, Yuan
Hu, Fanlei
author_sort Fang, Xiangyu
collection PubMed
description BACKGROUND: Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder of unknown etiology. B cells are critical participants in different rheumatic diseases, and their roles in AOSD are rarely investigated. This study aimed to unveil the B cell subset features in AOSD and provide evidence for B cell-based diagnosis and targeted therapies of AOSD. METHODS: B cell subsets in the peripheral blood of AOSD patients and healthy controls (HCs) were detected by flow cytometry. Firstly, the frequencies of B cell subsets were compared. Then, the correlation analysis was performed to explore the correlation between B cell subsets and clinical manifestations in AOSD. Finally, unbiased hierarchical clustering was performed to divide AOSD patients into three groups with different B cell subset features, and the clinical characteristics of the three groups were compared. RESULTS: The frequencies of B cell subsets were altered in AOSD patients. Disease-promoting subsets (such as naïve B cells, double negative B cells (DN B cells), and plasmablasts) increased, and potential regulatory subsets (such as unswitched memory B cells (UM B cells) and CD24(hi)CD27(+) B cells (B10 cells)) decreased in the peripheral blood of AOSD patients. In addition, the altered B cell subsets in AOSD correlated with the clinical and immunological features, such as immune cells, coagulation features, and liver enzymes. Intriguingly, AOSD patients could be divided into three groups with distinct B cell immunophenotyping: group 1 (naïve B cells-dominant), group 2 (CD27(+) memory B cells-dominant), and group 3 (precursors of autoantibody-producing plasma cells-dominant). Moreover, these three group patients demonstrated differential manifestations, including immune cells, liver or myocardial enzymes, coagulation features, and systemic score. CONCLUSIONS: B cell subsets are significantly altered in AOSD patients, potentially contributing to the disease pathogenesis. These findings would inspire B cell-based diagnosis and targeted therapies for this refractory disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-023-03070-2.
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spelling pubmed-102683582023-06-15 B cell subsets in adult-onset Still’s disease: potential candidates for disease pathogenesis and immunophenotyping Fang, Xiangyu Ye, Hua Xie, Yang Wei, Chaonan Liu, Shuyan Yao, Haihong Li, Zhanguo Jia, Yuan Hu, Fanlei Arthritis Res Ther Research BACKGROUND: Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder of unknown etiology. B cells are critical participants in different rheumatic diseases, and their roles in AOSD are rarely investigated. This study aimed to unveil the B cell subset features in AOSD and provide evidence for B cell-based diagnosis and targeted therapies of AOSD. METHODS: B cell subsets in the peripheral blood of AOSD patients and healthy controls (HCs) were detected by flow cytometry. Firstly, the frequencies of B cell subsets were compared. Then, the correlation analysis was performed to explore the correlation between B cell subsets and clinical manifestations in AOSD. Finally, unbiased hierarchical clustering was performed to divide AOSD patients into three groups with different B cell subset features, and the clinical characteristics of the three groups were compared. RESULTS: The frequencies of B cell subsets were altered in AOSD patients. Disease-promoting subsets (such as naïve B cells, double negative B cells (DN B cells), and plasmablasts) increased, and potential regulatory subsets (such as unswitched memory B cells (UM B cells) and CD24(hi)CD27(+) B cells (B10 cells)) decreased in the peripheral blood of AOSD patients. In addition, the altered B cell subsets in AOSD correlated with the clinical and immunological features, such as immune cells, coagulation features, and liver enzymes. Intriguingly, AOSD patients could be divided into three groups with distinct B cell immunophenotyping: group 1 (naïve B cells-dominant), group 2 (CD27(+) memory B cells-dominant), and group 3 (precursors of autoantibody-producing plasma cells-dominant). Moreover, these three group patients demonstrated differential manifestations, including immune cells, liver or myocardial enzymes, coagulation features, and systemic score. CONCLUSIONS: B cell subsets are significantly altered in AOSD patients, potentially contributing to the disease pathogenesis. These findings would inspire B cell-based diagnosis and targeted therapies for this refractory disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-023-03070-2. BioMed Central 2023-06-15 2023 /pmc/articles/PMC10268358/ /pubmed/37322557 http://dx.doi.org/10.1186/s13075-023-03070-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fang, Xiangyu
Ye, Hua
Xie, Yang
Wei, Chaonan
Liu, Shuyan
Yao, Haihong
Li, Zhanguo
Jia, Yuan
Hu, Fanlei
B cell subsets in adult-onset Still’s disease: potential candidates for disease pathogenesis and immunophenotyping
title B cell subsets in adult-onset Still’s disease: potential candidates for disease pathogenesis and immunophenotyping
title_full B cell subsets in adult-onset Still’s disease: potential candidates for disease pathogenesis and immunophenotyping
title_fullStr B cell subsets in adult-onset Still’s disease: potential candidates for disease pathogenesis and immunophenotyping
title_full_unstemmed B cell subsets in adult-onset Still’s disease: potential candidates for disease pathogenesis and immunophenotyping
title_short B cell subsets in adult-onset Still’s disease: potential candidates for disease pathogenesis and immunophenotyping
title_sort b cell subsets in adult-onset still’s disease: potential candidates for disease pathogenesis and immunophenotyping
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268358/
https://www.ncbi.nlm.nih.gov/pubmed/37322557
http://dx.doi.org/10.1186/s13075-023-03070-2
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