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de Vries C, Huang W, Sharma RK, Wangriatisak K, Turcinov S, Cîrciumaru A, Rönnblom L, Grönwall C, Hensvold A, Lundberg K, Malmström V. Rheumatoid Arthritis Related B-Cell Changes Are Found Already in the Risk-RA Phase. Eur J Immunol 2025; 55:e202451391. [PMID: 39931747 PMCID: PMC11811808 DOI: 10.1002/eji.202451391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 01/15/2025] [Accepted: 01/16/2025] [Indexed: 02/13/2025]
Abstract
Anti-cyclic citrullinated peptide2 (CCP2) antibody positivity in rheumatoid arthritis (RA) and in the predisease phase, together with the success of B-cell depletion, support a crucial role for B cells in RA pathogenesis. Yet, knowledge of B cells in the transition from autoimmunity to RA is limited, and therefore we here investigated B-cell changes during the risk-RA phase. B-cell phenotypes in 18 CCP2-positive risk-RA individuals with musculoskeletal complaints were studied, parallel with ten CCP2-positive RA patients and nine healthy controls. Nine of the risk-RA individuals progressed to RA. B-cell phenotypes were investigated using spectral flow cytometry. The results demonstrate that unswitched and switched memory B-cell frequencies in the risk-RA cohort were more similar to controls than RA patients. Yet, risk-RA progressors displayed an early activation profile amongst naïve B cells. Deeper characterization of the memory compartment revealed expansion of CD27-negative IgG+ B cells both in RA compared with controls (p = 0.0172) and in risk-RA progressors versus non-progressors (p = 0.0295). Overall, we demonstrate that the phenotypic distribution of B cells is altered in the risk-RA phase. This includes changes in CD27-negative class-switched B cells, which have been attributed to autoreactive and anergic features implicating a possible contribution to RA development.
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Affiliation(s)
- Charlotte de Vries
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
| | - Wenqi Huang
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
| | - Ravi Kumar Sharma
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
| | - Kittikorn Wangriatisak
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
| | - Sara Turcinov
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
| | - Alexandra Cîrciumaru
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
- Center for RheumatologyAcademic Specialist Center, Stockholm Health ServicesRegion StockholmSweden
| | - Lars Rönnblom
- Department of Medical SciencesRheumatology, Science for Life LaboratoryUppsalaSweden
| | - Caroline Grönwall
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
| | - Aase Hensvold
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
- Center for RheumatologyAcademic Specialist Center, Stockholm Health ServicesRegion StockholmSweden
| | - Karin Lundberg
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
| | - Vivianne Malmström
- Division of RheumatologyDepartment of Medicine SolnaKarolinska Institutet and Center for Molecular MedicineKarolinska University HospitalStockholmSweden
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2
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Fan F, Liu S, Wang B, Song X, Wang W. Integrated analyses uncover new features of atypical memory B cells and novel targets for intervention. Immunobiology 2025; 230:152877. [PMID: 39938454 DOI: 10.1016/j.imbio.2025.152877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2024] [Revised: 12/21/2024] [Accepted: 01/28/2025] [Indexed: 02/14/2025]
Abstract
BACKGROUND Atypical memory B (AMB) is a novel subset of B lymphocytes, but its immune features and pathogenetic roles in systemic rheumatic diseases are still largely elusive. This study aimed to characterize transcriptomic features, immune phenotypes and potential signaling pathways of AMB, and also to confirm its alternations in systemic rheumatic diseases via combined transcriptome analyses. METHOD B cell subsets and their transcriptomic signatures were identified via analyses of single cell RNA-sequencing (scRNA-seq) data. Functional characterization of AMB was performed with bioinformatics and CyTOF-based phenotyping. Alternation of AMB in systemic lupus erythematosus (SLE), rheumatoid arthritis (RA) and Sjögren's syndrome (SjS) was evaluated via bioinformatic approaches. RESULT A total of 11 B cell subsets including AMB were identified through scRNA-seq transcriptome analyses. Both transcriptome analyses and CyTOF-based immune phenotyping confirmed that AMB had increased levels of TBX21 (T-bet), ITGAX (CD11c), CD19, CD20 and CXCR3 (P < 0.05), and it had decreased expressions of CD27, CD38, CXCR4, CXCR5 and CD62L (P < 0.05). More than 50 % of T-bet+ B cells did not express CD11c, and more than 30 % expressed CD27. AMB was characterized by activated mTORC1 signaling and increased p-P38 level (P < 0.05). AMB transcriptional signature was significantly enriched in the peripheral blood and disease tissues of patients of SLE, RA and SjS (P < 0.05), suggesting the expanded AMB cells in those patients. CONCLUSION This study defines the transcriptomic signature, immune phenotypes and potential signaling pathways of AMB, and also confirms the involvement of AMB in systemic rheumatic diseases including SLE, RA and SjS via transcriptomic approaches. mTORC1 signaling and P38/MAPK signaling are promising therapeutic targets for systemic rheumatic diseases mediated by AMB.
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Affiliation(s)
- Fuli Fan
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China
| | - Shubei Liu
- Department of Rheumatology and Immunology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Bin Wang
- Central Laboratory, Weifang People's Hospital, Shandong Second Medical University, Weifang 261000, China; Department of Traumatology and Orthopaedics, Weifang People's Hospital, Shandong Second Medical University, Weifang 261000, China.
| | - Xiaojian Song
- Weiriver Novel Research Association, Weifang 262212, China
| | - Wei Wang
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266000, China.
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Terhaar H, Jiminez V, Grant E, Collins C, Khass M, Yusuf N. Immune Repertoires in Various Dermatologic and Autoimmune Diseases. Genes (Basel) 2024; 15:1591. [PMID: 39766858 PMCID: PMC11675122 DOI: 10.3390/genes15121591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Revised: 12/02/2024] [Accepted: 12/04/2024] [Indexed: 01/11/2025] Open
Abstract
The immune repertoire (IR) is a term that defines the combined unique genetic rearrangements of antigen receptors expressed by B and T lymphocytes. The IR determines the ability of the immune system to identify and respond to foreign antigens while preserving tolerance to host antigens. When immune tolerance is disrupted, development of autoimmune diseases can occur due to the attack of self-antigens. Recent technical advances in immune profiling allowed identification of common patterns and shared antigen-binding sequences unique to diverse array of diseases. However, there is no current literature to date evaluates IR findings in autoimmune and skin inflammatory conditions. In this review, we provide an overview of the past and current research findings of IR in various autoimmune and dermatologic conditions. Enriching our understanding of IRs in these conditions is critical for understanding the pathophysiology behind autoimmune skin disease onset and progression. Furthermore, understanding B-cell and T-cell IR will help devise therapeutic treatments in the hopes of restoring immune tolerance and preventing disease onset and progression.
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Affiliation(s)
- Hanna Terhaar
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Victoria Jiminez
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Emily Grant
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Camden Collins
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Mohamed Khass
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Department of Endodontics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Department of Dermatology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Nabiha Yusuf
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Department of Dermatology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
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Townsend HA, Rosenberger KJ, Vanderlinden LA, Inamo J, Zhang F. Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity. Front Immunol 2024; 15:1454263. [PMID: 39703500 PMCID: PMC11655331 DOI: 10.3389/fimmu.2024.1454263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 11/07/2024] [Indexed: 12/21/2024] Open
Abstract
Background Understanding genetic underpinnings of immune-mediated inflammatory diseases is crucial to improve treatments. Single-cell RNA sequencing (scRNA-seq) identifies cell states expanded in disease, but often overlooks genetic causality due to cost and small genotyping cohorts. Conversely, large genome-wide association studies (GWAS) are commonly accessible. Methods We present a 3-step robust benchmarking analysis of integrating GWAS and scRNA-seq to identify genetically relevant cell states and genes in inflammatory diseases. First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. While previous studies focused on coarse cell types, we used disease-specific, fine-grained single-cell atlases (183,742 and 228,211 cells) and GWAS data (Ns of 97,173 and 45,975) for rheumatoid arthritis (RA) and ulcerative colitis (UC). Second, given the lack of scRNA-seq for many diseases with GWAS, we further tested the tools' resolution limits by differentiating between similar diseases with only one fine-grained scRNA-seq atlas. Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls. Results We first found that single-cell based tools scDRS and scPagwas called superior numbers of supported cell states that were overlooked by scGWAS. While scGWAS and scPagwas were advantageous for gene exploration, scDRS effectively accounted for batch effect and captured cellular heterogeneity of disease-relevance without single-cell genotyping. For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). Even when directly incorporating noncoding SNPs through 5' scRNA-seq measures of regulatory elements, non disease-specific atlases gave misleading results by not containing disease-tissue specific transcriptomic patterns. Despite this criticality of tissue-specific scRNA-seq, we showed that scDRS enabled deconvolution of two similar diseases with a single fine-grained scRNA-seq atlas and separate GWAS. Indeed, we identified supported and novel genetic-phenotype linkages separating RA and ankylosing spondylitis, and UC and crohn's disease. Overall, while noting evolving single-cell technologies, our study provides key findings for integrating expanding fine-grained scRNA-seq, GWAS, and noncoding SNP resources to unravel the complexities of inflammatory diseases.
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Affiliation(s)
- Hope A. Townsend
- Biofrontiers Institute, University of Colorado Boulder, Boulder, CO, United States
- Department of Molecular, Cellular, Developmental Biology, University of Colorado Boulder, Boulder, CO, United States
| | - Kaylee J. Rosenberger
- Biofrontiers Institute, University of Colorado Boulder, Boulder, CO, United States
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, United States
| | - Lauren A. Vanderlinden
- Department of Medicine, Division of Rheumatology, University of Colorado Anschutz Medical Campus, Denver, CO, United States
- Department of Biomedical Informatics, Center for Health AI, University of Colorado Anschutz Medical Campus, Denver, CO, United States
| | - Jun Inamo
- Department of Medicine, Division of Rheumatology, University of Colorado Anschutz Medical Campus, Denver, CO, United States
- Department of Biomedical Informatics, Center for Health AI, University of Colorado Anschutz Medical Campus, Denver, CO, United States
| | - Fan Zhang
- Biofrontiers Institute, University of Colorado Boulder, Boulder, CO, United States
- Department of Medicine, Division of Rheumatology, University of Colorado Anschutz Medical Campus, Denver, CO, United States
- Department of Biomedical Informatics, Center for Health AI, University of Colorado Anschutz Medical Campus, Denver, CO, United States
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Figueiredo ML. Applications of single-cell RNA sequencing in rheumatoid arthritis. Front Immunol 2024; 15:1491318. [PMID: 39600707 PMCID: PMC11588722 DOI: 10.3389/fimmu.2024.1491318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Accepted: 10/18/2024] [Indexed: 11/29/2024] Open
Abstract
Single cell RNA sequencing (scRNA-seq) is a relatively new technology that provides an unprecedented, detailed view of cellular heterogeneity and function by delineating the transcriptomic difference among individual cells. This will allow for mapping of cell-type-specific signaling during physiological and pathological processes, to build highly specific models of cellular signaling networks between the many discrete clusters that are present. This technology therefore provides a powerful approach to dissecting the cellular and molecular mechanisms that contribute to autoimmune diseases, including rheumatoid arthritis (RA). scRNA-seq can offer valuable insights into RA unique cellular states and transitions, potentially enabling development of novel drug targets. However, some challenges that still limit its mainstream utilization and include higher costs, a lower sensitivity for low-abundance transcripts, and a relatively complex data analysis workflow relative to bulk or traditional RNA-seq. This minireview explores the emerging application of scRNA-seq in RA research, highlighting its role in producing important insights that can help pave the way for innovative and more effective therapeutic strategies.
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Affiliation(s)
- Marxa L. Figueiredo
- Department of Basic Medical Sciences, College of Veterinary Medicine, Purdue
University, West Lafayette, IN, United States
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6
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Nellore A, Zumaquero E, Seifert M. T-bet + B Cells in Humans: Protective and Pathologic Functions. Transplantation 2024; 108:1709-1714. [PMID: 38051131 PMCID: PMC11150333 DOI: 10.1097/tp.0000000000004889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 10/28/2023] [Accepted: 10/31/2023] [Indexed: 12/07/2023]
Abstract
The humoral immune system comprises B cells and plasma cells, which play important roles in organ transplantation, ranging from the production of both protective and injurious antibodies as well as cytokines that can promote operational tolerance. Recent data from conditions outside of transplantation have identified a novel human B-cell subset that expresses the transcription factor T-bet and exerts pleiotropic functions by disease state. Here, we review the generation, activation, and functions of the T-bet + B-cell subset outside of allotransplantation, and consider the relevance of this subset as mediators of allograft injury.
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Affiliation(s)
- Anoma Nellore
- Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, AL
| | - Esther Zumaquero
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL
| | - Michael Seifert
- Division of Pediatric Nephrology, University of Alabama at Birmingham, Birmingham, AL
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7
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Raposo B, Klareskog L, Robinson WH, Malmström V, Grönwall C. The peculiar features, diversity and impact of citrulline-reactive autoantibodies. Nat Rev Rheumatol 2024; 20:399-416. [PMID: 38858604 DOI: 10.1038/s41584-024-01124-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/10/2024] [Indexed: 06/12/2024]
Abstract
Since entering the stage 25 years ago as a highly specific serological biomarker for rheumatoid arthritis, anti-citrullinated protein antibodies (ACPAs) have been a topic of extensive research. This hallmark B cell response arises years before disease onset, displays interpatient autoantigen variability, and is associated with poor clinical outcomes. Technological and scientific advances have revealed broad clonal diversity and intriguing features including high levels of somatic hypermutation, variable-domain N-linked glycosylation, hapten-like peptide interactions, and clone-specific multireactivity to citrullinated, carbamylated and acetylated epitopes. ACPAs have been found in different isotypes and subclasses, in both circulation and tissue, and are secreted by both plasmablasts and long-lived plasma cells. Notably, although some disease-promoting features have been reported, results now demonstrate that certain monoclonal ACPAs therapeutically block arthritis and inflammation in mouse models. A wealth of functional studies using patient-derived polyclonal and monoclonal antibodies have provided evidence for pathogenic and protective effects of ACPAs in the context of arthritis. To understand the roles of ACPAs, one needs to consider their immunological properties by incorporating different facets such as rheumatoid arthritis B cell biology, environmental triggers and chronic antigen exposure. The emerging picture points to a complex role of citrulline-reactive autoantibodies, in which the diversity and dynamics of antibody clones could determine clinical progression and manifestations.
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Affiliation(s)
- Bruno Raposo
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lars Klareskog
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - William H Robinson
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Vivianne Malmström
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
| | - Caroline Grönwall
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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8
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Hu Y, Huang J, Wang S, Sun X, Wang X, Yu H. Deciphering Autoimmune Diseases: Unveiling the Diagnostic, Therapeutic, and Prognostic Potential of Immune Repertoire Sequencing. Inflammation 2024:10.1007/s10753-024-02079-2. [PMID: 38914737 DOI: 10.1007/s10753-024-02079-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/31/2024] [Accepted: 06/08/2024] [Indexed: 06/26/2024]
Abstract
Autoimmune diseases (AIDs) are immune system disorders where the body exhibits an immune response to its own antigens, causing damage to its own tissues and organs. The pathogenesis of AIDs is incompletely understood. However, recent advances in immune repertoire sequencing (IR-seq) technology have opened-up a new avenue to study the IR. These studies have revealed the prevalence in IR alterations, potentially inducing AIDs by disrupting immune tolerance and thereby contributing to our comprehension of AIDs. IR-seq harbors significant potential for the clinical diagnosis, personalized treatment, and prognosis of AIDs. This article reviews the application and progress of IR-seq in diseases, such as multiple sclerosis, systemic lupus erythematosus, rheumatoid arthritis, and type 1 diabetes, to enhance our understanding of the pathogenesis of AIDs and offer valuable references for the diagnosis and treatment of AIDs.
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Affiliation(s)
- Yuelin Hu
- Department of Immunology, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, P.R. China
| | - Jialing Huang
- Department of Immunology, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, P.R. China
| | - Shuqing Wang
- Department of Immunology, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, P.R. China
| | - Xin Sun
- School of Basic Medical Sciences, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, P.R. China
| | - Xin Wang
- School of Basic Medical Sciences, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, P.R. China
| | - Hongsong Yu
- Department of Immunology, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, P.R. China.
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Chatterjee A, Jayaprakasan M, Chakrabarty AK, Lakkaniga NR, Bhatt BN, Banerjee D, Narwaria A, Katiyar CK, Dubey SK. Comprehensive insights into rheumatoid arthritis: Pathophysiology, current therapies and herbal alternatives for effective disease management. Phytother Res 2024; 38:2764-2799. [PMID: 38522945 DOI: 10.1002/ptr.8187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/14/2024] [Accepted: 03/01/2024] [Indexed: 03/26/2024]
Abstract
Rheumatoid arthritis is a chronic autoimmune inflammatory disease characterized by immune response overexpression, causing pain and swelling in the synovial joints. This condition is caused by auto-reactive antibodies that attack self-antigens due to their incapacity to distinguish between self and foreign molecules. Dysregulated activity within numerous signalling and immunological pathways supports the disease's development and progression, elevating its complexity. While current treatments provide some alleviation, their effectiveness is accompanied by a variety of adverse effects that are inherent in conventional medications. As a result, there is a deep-rooted necessity to investigate alternate therapeutic strategies capable of neutralizing these disadvantages. Medicinal herbs display a variety of potent bioactive phytochemicals that are effective in the complementary management of disease, thus generating an enormous potency for the researchers to delve deep into the development of novel phytomedicine against autoimmune diseases, although additional evidence and understanding are required in terms of their efficacy and pharmacodynamic mechanisms. This literature-based review highlights the dysregulation of immune tolerance in rheumatoid arthritis, analyses the pathophysiology, elucidates relevant signalling pathways involved, evaluates present and future therapy options and underscores the therapeutic attributes of a diverse array of medicinal herbs in addressing this severe disease.
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Affiliation(s)
- Amrita Chatterjee
- Department of Chemistry and Chemical Biology, Indian Institute of Technology (Indian School of Mines), Dhanbad, India
| | - Monisha Jayaprakasan
- Department of Chemistry and Chemical Biology, Indian Institute of Technology (Indian School of Mines), Dhanbad, India
| | | | - Naga Rajiv Lakkaniga
- Department of Chemistry and Chemical Biology, Indian Institute of Technology (Indian School of Mines), Dhanbad, India
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10
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Weinand K, Sakaue S, Nathan A, Jonsson AH, Zhang F, Watts GFM, Al Suqri M, Zhu Z, Rao DA, Anolik JH, Brenner MB, Donlin LT, Wei K, Raychaudhuri S. The chromatin landscape of pathogenic transcriptional cell states in rheumatoid arthritis. Nat Commun 2024; 15:4650. [PMID: 38821936 PMCID: PMC11143375 DOI: 10.1038/s41467-024-48620-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/02/2024] [Indexed: 06/02/2024] Open
Abstract
Synovial tissue inflammation is a hallmark of rheumatoid arthritis (RA). Recent work has identified prominent pathogenic cell states in inflamed RA synovial tissue, such as T peripheral helper cells; however, the epigenetic regulation of these states has yet to be defined. Here, we examine genome-wide open chromatin at single-cell resolution in 30 synovial tissue samples, including 12 samples with transcriptional data in multimodal experiments. We identify 24 chromatin classes and predict their associated transcription factors, including a CD8 + GZMK+ class associated with EOMES and a lining fibroblast class associated with AP-1. By integrating with an RA tissue transcriptional atlas, we propose that these chromatin classes represent 'superstates' corresponding to multiple transcriptional cell states. Finally, we demonstrate the utility of this RA tissue chromatin atlas through the associations between disease phenotypes and chromatin class abundance, as well as the nomination of classes mediating the effects of putatively causal RA genetic variants.
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Affiliation(s)
- Kathryn Weinand
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saori Sakaue
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aparna Nathan
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anna Helena Jonsson
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine Division of Rheumatology and Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Gerald F M Watts
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Majd Al Suqri
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zhu Zhu
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Deepak A Rao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jennifer H Anolik
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael B Brenner
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura T Donlin
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Kevin Wei
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
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11
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Hu W, Song X, Yu H, Fan S, Shi A, Sun J, Wang H, Zhao L, Zhao Y. Suppression of B-Cell Activation by Human Cord Blood-Derived Stem Cells (CB-SCs) through the Galectin-9-Dependent Mechanism. Int J Mol Sci 2024; 25:1830. [PMID: 38339108 PMCID: PMC10855911 DOI: 10.3390/ijms25031830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
We developed the Stem Cell Educator therapy among multiple clinical trials based on the immune modulations of multipotent cord blood-derived stem cells (CB-SCs) on different compartments of immune cells, such as T cells and monocytes/macrophages, in type 1 diabetes and other autoimmune diseases. However, the effects of CB-SCs on the B cells remained unclear. To better understand the molecular mechanisms underlying the immune education of CB-SCs, we explored the modulations of CB-SCs on human B cells. CB-SCs were isolated from human cord blood units and confirmed by flow cytometry with different markers for their purity. B cells were purified by using anti-CD19 immunomagnetic beads from human peripheral blood mononuclear cells (PBMCs). Next, the activated B cells were treated in the presence or absence of coculture with CB-SCs for 7 days before undergoing flow cytometry analysis of phenotypic changes with different markers. Reverse transcription-polymerase chain reaction (RT-PCR) was utilized to evaluate the levels of galectin expressions on CB-SCs with or without treatment of activated B cells in order to find the key galectin that was contributing to the B-cell modulation. Flow cytometry demonstrated that the proliferation of activated B cells was markedly suppressed in the presence of CB-SCs, leading to the downregulation of immunoglobulin production from the activated B cells. Phenotypic analysis revealed that treatment with CB-SCs increased the percentage of IgD+CD27- naïve B cells, but decreased the percentage of IgD-CD27+ switched B cells. The transwell assay showed that the immune suppression of CB-SCs on B cells was dependent on the galectin-9 molecule, as confirmed by the blocking experiment with the anti-galectin-9 monoclonal antibody. Mechanistic studies demonstrated that both calcium levels of cytoplasm and mitochondria were downregulated after the treatment with CB-SCs, causing the decline in mitochondrial membrane potential in the activated B cells. Western blot exhibited that the levels of phosphorylated Akt and Erk1/2 signaling proteins in the activated B cells were also markedly reduced in the presence of CB-SCs. CB-SCs displayed multiple immune modulations on B cells through the galectin-9-mediated mechanism and calcium flux/Akt/Erk1/2 signaling pathways. The data advance our current understanding of the molecular mechanisms underlying the Stem Cell Educator therapy to treat autoimmune diseases in clinics.
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Affiliation(s)
- Wei Hu
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA; (W.H.)
| | - Xiang Song
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA; (W.H.)
| | - Haibo Yu
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA; (W.H.)
| | - Sophia Fan
- Throne Biotechnologies, Paramus, NJ 07652, USA
| | - Andrew Shi
- Throne Biotechnologies, Paramus, NJ 07652, USA
| | - Jingyu Sun
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ 07030, USA; (J.S.); (H.W.)
| | - Hongjun Wang
- Department of Chemistry and Chemical Biology, Stevens Institute of Technology, Hoboken, NJ 07030, USA; (J.S.); (H.W.)
| | - Laura Zhao
- Throne Biotechnologies, Paramus, NJ 07652, USA
| | - Yong Zhao
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ 07110, USA; (W.H.)
- Throne Biotechnologies, Paramus, NJ 07652, USA
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12
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Neys SFH, Heutz JW, van Hulst JAC, Vink M, Bergen IM, de Jong PHP, Lubberts E, Hendriks RW, Corneth OBJ. Aberrant B cell receptor signaling in circulating naïve and IgA + memory B cells from newly-diagnosed autoantibody-positive rheumatoid arthritis patients. J Autoimmun 2024; 143:103168. [PMID: 38350168 DOI: 10.1016/j.jaut.2024.103168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 02/15/2024]
Abstract
OBJECTIVE Altered B cell receptor (BCR) signaling has been implicated in the pathogenesis of rheumatoid arthritis (RA). Here we aimed to identify signaling aberrations in autoantibody-positive and autoantibody-negative RA patients by performing a comprehensive analysis of the BCR signaling cascade in different B cell subsets. METHODS We first optimized phosphoflow cytometry for an in-depth analysis of BCR signaling across immunoglobulin isotypes in healthy donors. Subsequently, we compared BCR signaling in circulating B cell subsets from treatment-naïve, newly-diagnosed autoantibody-positive RA and autoantibody-negative RA patients and healthy controls (HCs). RESULTS We observed subset-specific phosphorylation patterns of the BCR signalosome in circulating B cells from healthy donors. Compared with HCs, autoantibody-positive RA patients displayed enhanced responses to BCR stimulation for multiple signaling proteins, specifically in naïve and IgA+ memory B cells. Whereas in unstimulated healthy donor B cells, the phosphorylation status of individual signaling proteins showed only limited correlation, BCR stimulation enhanced the interconnectivity in phosphorylation within the BCR signalosome. However, this strong interconnectivity within the BCR signalosome in stimulated B cells from HCs was lost in RA, especially in autoantibody-positive RA patients. Finally, we observed strong correlations between SYK and BTK protein expression, and IgA and IgG anti-citrullinated protein antibody concentrations in serum from autoantibody-positive RA patients. CONCLUSION Collectively, the isotype-specific analysis of multiple key components of the BCR signalosome identified aberrant BCR signaling responses in treatment-naïve autoantibody-positive RA patients, particularly in naïve B cells and IgA+ memory B cells. Our findings support differential involvement of dysregulated BCR signaling in the pathogenesis of autoantibody-positive and autoantibody-negative RA.
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Affiliation(s)
- Stefan F H Neys
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Judith W Heutz
- Department of Rheumatology, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | | | - Madelief Vink
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Ingrid M Bergen
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Pascal H P de Jong
- Department of Rheumatology, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Erik Lubberts
- Department of Rheumatology, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Rudi W Hendriks
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Odilia B J Corneth
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands.
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13
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Wang Q, Feng D, Jia S, Lu Q, Zhao M. B-Cell Receptor Repertoire: Recent Advances in Autoimmune Diseases. Clin Rev Allergy Immunol 2024; 66:76-98. [PMID: 38459209 DOI: 10.1007/s12016-024-08984-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 03/10/2024]
Abstract
In the field of contemporary medicine, autoimmune diseases (AIDs) are a prevalent and debilitating group of illnesses. However, they present extensive and profound challenges in terms of etiology, pathogenesis, and treatment. A major reason for this is the elusive pathophysiological mechanisms driving disease onset. Increasing evidence suggests the indispensable role of B cells in the pathogenesis of autoimmune diseases. Interestingly, B-cell receptor (BCR) repertoires in autoimmune diseases display a distinct skewing that can provide insights into disease pathogenesis. Over the past few years, advances in high-throughput sequencing have provided powerful tools for analyzing B-cell repertoire to understand the mechanisms during the period of B-cell immune response. In this paper, we have provided an overview of the mechanisms and analytical methods for generating BCR repertoire diversity and summarize the latest research progress on BCR repertoire in autoimmune diseases, including systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), primary Sjögren's syndrome (pSS), multiple sclerosis (MS), and type 1 diabetes (T1D). Overall, B-cell repertoire analysis is a potent tool to understand the involvement of B cells in autoimmune diseases, facilitating the creation of innovative therapeutic strategies targeting specific B-cell clones or subsets.
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Affiliation(s)
- Qian Wang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Delong Feng
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China
| | - Sujie Jia
- Department of Pharmacy, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, China
| | - Qianjin Lu
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, China.
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China.
| | - Ming Zhao
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
- Clinical Medical Research Center of Major Skin Diseases and Skin Health of Hunan Province, Changsha, China.
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, China.
- Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences, Nanjing, China.
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14
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Morales-Núñez JJ, Muñoz-Valle JF, García-Chagollán M, Cerpa-Cruz S, Martínez-Bonilla GE, Medina-Rosales VM, Díaz-Pérez SA, Nicoletti F, Hernández-Bello J. Aberrant B-cell activation and B-cell subpopulations in rheumatoid arthritis: analysis by clinical activity, autoantibody seropositivity, and treatment. Clin Exp Immunol 2023; 214:314-327. [PMID: 37464892 PMCID: PMC10719220 DOI: 10.1093/cei/uxad076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/13/2023] [Accepted: 07/17/2023] [Indexed: 07/20/2023] Open
Abstract
Few studies analyze the role of B-cell subpopulations in rheumatoid arthritis (RA) pathophysiology. Therefore, this study aimed to analyze the differences in B-cell subpopulations and B-cell activation according to disease activity, RA subtype, and absence of disease-modifying antirheumatic drugs (DMARDs) therapy. These subgroups were compared with control subjects (CS). One hundred and thirty-nine subjects were included, of which 114 were RA patients, and 25 were controls. Patients were divided into 99 with seropositive RA, 6 with seronegative RA, and 9 without DMARDs. The patients with seropositive RA were subclassified based on the DAS28 index. A seven-color multicolor flow cytometry panel was used to identify B-cell immunophenotypes and cell activation markers. There were no changes in total B-cell frequencies between RA patients and controls. However, a lower frequency of memory B cells and pre-plasmablasts was observed in seropositive RA compared to controls (P < 0.0001; P = 0.0043, respectively). In contrast, a higher frequency of mature B cells was observed in RA than in controls (P = 0.0002). Among patients with RA, those with moderate activity had a higher percentage of B cells (P = 0.0021). The CD69+ marker was increased (P < 0.0001) in RA compared to controls, while the CD40+ frequency was decreased in patients (P < 0.0001). Transitional, naïve, and double-negative B-cell subpopulations were higher in seronegative RA than in seropositive (P < 0.01). In conclusion, in seropositive and seronegative RA patients, there are alterations in B-cell activation and B-cell subpopulations, independently of clinical activity and DMARDs therapy.
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Affiliation(s)
- José Javier Morales-Núñez
- Centro Universitario de Ciencias de la Salud, Doctorado en Ciencias Biomédicas, Universidad de Guadalajara, Jalisco, Mexico
- Centro Universitario de Ciencias de la Salud, Instituto de Investigación en Ciencias Biomédicas (IICB), Universidad de Guadalajara, Jalisco, Mexico
| | - José Francisco Muñoz-Valle
- Centro Universitario de Ciencias de la Salud, Instituto de Investigación en Ciencias Biomédicas (IICB), Universidad de Guadalajara, Jalisco, Mexico
| | - Mariel García-Chagollán
- Centro Universitario de Ciencias de la Salud, Doctorado en Ciencias Biomédicas, Universidad de Guadalajara, Jalisco, Mexico
- Centro Universitario de Ciencias de la Salud, Instituto de Investigación en Ciencias Biomédicas (IICB), Universidad de Guadalajara, Jalisco, Mexico
| | - Sergio Cerpa-Cruz
- Hospital Civil de Guadalajara “Fray Antonio Alcalde”, Servicio de Reumatología, Jalisco, Mexico
| | | | - Vianey Monserrat Medina-Rosales
- Centro Universitario de Ciencias de la Salud, Licenciatura en Médico, Cirujano y Partero, Universidad de Guadalajara, Jalisco, Mexico
| | - Saúl Alberto Díaz-Pérez
- Centro Universitario de Ciencias de la Salud, Doctorado en Ciencias Biomédicas, Universidad de Guadalajara, Jalisco, Mexico
- Centro Universitario de Ciencias de la Salud, Instituto de Investigación en Ciencias Biomédicas (IICB), Universidad de Guadalajara, Jalisco, Mexico
| | - Ferdinando Nicoletti
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Jorge Hernández-Bello
- Centro Universitario de Ciencias de la Salud, Instituto de Investigación en Ciencias Biomédicas (IICB), Universidad de Guadalajara, Jalisco, Mexico
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15
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Chaudhary R, Prasad A, Agarwal V, Rehman M, Kumar A, Kaushik AS, Srivastava S, Srivastava S, Mishra V. Chronic stress predisposes to the aggravation of inflammation in autoimmune diseases with focus on rheumatoid arthritis and psoriasis. Int Immunopharmacol 2023; 125:111046. [PMID: 37879231 DOI: 10.1016/j.intimp.2023.111046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/27/2023] [Accepted: 10/08/2023] [Indexed: 10/27/2023]
Abstract
The global incidence of autoimmune diseases is on the rise, and many healthcare professionals believe that chronic stress plays a prominent role in both the aggravation and remission of these conditions. It is believed that prolonged exposure to stress is associated with neuroimmune axis malfunction, which eventually dysregulates multiple immunological factors as well as deregulates autoimmune responses that play a central role in various autoimmune diseases, including rheumatoid arthritis and psoriasis. Herein, we performed validation of an 8-week long rat model of chronic unpredictable stress (CUS) which consisted of exposing groups of rats to random stressors daily for 8 weeks. Additionally, we developed a novel rat model combining 8-week long random stressor-induced CUS with CIA-triggered arthritis and IMQ-triggered psoriasis and have successfully used both these models to assess the role of chronic stress in the aggravation of arthritis and psoriasis, respectively. Notably, the 8-week CUS protocol extensively aggravated and prolonged both arthritis and psoriasis condition in the rat model by upregulating the release of different pro-inflammatory cytokines, dysregulation of immune cell responses and oxidative stress system, which were all related to severe inflammation. Further, CUS aggravated macroscopic features and the increase in destruction of joint tissue and epidermal thickness induced by CIA and IMQ, respectively, in rats. In conclusion, this study suggests that exposure to an 8-week long CUS paradigm aggravates the distinctive characteristics of rheumatoid arthritis and psoriasis in rats via amplifying the inflammatory circuits and immune cell responses linked to these autoimmune diseases.
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Affiliation(s)
- Rishabh Chaudhary
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India
| | - Ajay Prasad
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India
| | - Vipul Agarwal
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India
| | - Mujeeba Rehman
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India
| | - Anand Kumar
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India
| | - Arjun Singh Kaushik
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India
| | - Siddhi Srivastava
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India
| | - Sukriti Srivastava
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India
| | - Vikas Mishra
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, U.P., India.
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16
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Sahlström P, Joshua V, Valkovskaia V, Biese C, Stålesen R, Israelsson L, Végvári Á, Scheel-Toellner D, Klareskog L, Hansson M, Hensvold A, Malmström V, Grönwall C. Autoreactive B cells against malondialdehyde-induced protein cross-links are present in the joint, lung, and bone marrow of rheumatoid arthritis patients. J Biol Chem 2023; 299:105320. [PMID: 37802315 PMCID: PMC10641667 DOI: 10.1016/j.jbc.2023.105320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 09/28/2023] [Indexed: 10/08/2023] Open
Abstract
Autoantibodies to malondialdehyde (MDA) proteins constitute a subset of anti-modified protein autoantibodies in rheumatoid arthritis (RA), which is distinct from citrulline reactivity. Serum anti-MDA IgG levels are commonly elevated in RA and correlate with disease activity, CRP, IL6, and TNF-α. MDA is an oxidation-associated reactive aldehyde that together with acetaldehyde mediates formation of various immunogenic amino acid adducts including linear MDA-lysine, fluorescent malondialdehyde acetaldehyde (MAA)-lysine, and intramolecular cross-linking. We used single-cell cloning, generation of recombinant antibodies (n = 356 from 25 donors), and antigen-screening to investigate the presence of class-switched MDA/MAA+ B cells in RA synovium, bone marrow, and bronchoalveolar lavage. Anti-MDA/MAA+ B cells were found in bone marrow plasma cells of late disease and in the lung of both early disease and risk-individuals and in different B cell subsets (memory, double negative B cells). These were compared with previously identified anti-MDA/MAA from synovial memory and plasma cells. Seven out of eight clones carried somatic hypermutations and all bound MDA/MAA-lysine independently of protein backbone. However, clones with somatic hypermutations targeted MAA cross-linked structures rather than MDA- or MAA-hapten, while the germline-encoded synovial clone instead bound linear MDA-lysine in proteins and peptides. Binding patterns were maintained in germline converted clones. Affinity purification of polyclonal anti-MDA/MAA from patient serum revealed higher proportion of anti-MAA versus anti-MDA compared to healthy controls. In conclusion, IgG anti-MDA/MAA show distinct targeting of different molecular structures. Anti-MAA IgG has been shown to promote bone loss and osteoclastogenesis in vivo and may contribute to RA pathogenesis.
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Affiliation(s)
- Peter Sahlström
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Vijay Joshua
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Viktoriia Valkovskaia
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Charlotte Biese
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Ragnhild Stålesen
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lena Israelsson
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Ákos Végvári
- Division of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Dagmar Scheel-Toellner
- Rheumatology Research Group, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Lars Klareskog
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Monika Hansson
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Aase Hensvold
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden; Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
| | - Vivianne Malmström
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Caroline Grönwall
- Division of Rheumatology, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
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17
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Zhang F, Jonsson AH, Nathan A, Millard N, Curtis M, Xiao Q, Gutierrez-Arcelus M, Apruzzese W, Watts GFM, Weisenfeld D, Nayar S, Rangel-Moreno J, Meednu N, Marks KE, Mantel I, Kang JB, Rumker L, Mears J, Slowikowski K, Weinand K, Orange DE, Geraldino-Pardilla L, Deane KD, Tabechian D, Ceponis A, Firestein GS, Maybury M, Sahbudin I, Ben-Artzi A, Mandelin AM, Nerviani A, Lewis MJ, Rivellese F, Pitzalis C, Hughes LB, Horowitz D, DiCarlo E, Gravallese EM, Boyce BF, Moreland LW, Goodman SM, Perlman H, Holers VM, Liao KP, Filer A, Bykerk VP, Wei K, Rao DA, Donlin LT, Anolik JH, Brenner MB, Raychaudhuri S. Deconstruction of rheumatoid arthritis synovium defines inflammatory subtypes. Nature 2023; 623:616-624. [PMID: 37938773 PMCID: PMC10651487 DOI: 10.1038/s41586-023-06708-y] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 10/03/2023] [Indexed: 11/09/2023]
Abstract
Rheumatoid arthritis is a prototypical autoimmune disease that causes joint inflammation and destruction1. There is currently no cure for rheumatoid arthritis, and the effectiveness of treatments varies across patients, suggesting an undefined pathogenic diversity1,2. Here, to deconstruct the cell states and pathways that characterize this pathogenic heterogeneity, we profiled the full spectrum of cells in inflamed synovium from patients with rheumatoid arthritis. We used multi-modal single-cell RNA-sequencing and surface protein data coupled with histology of synovial tissue from 79 donors to build single-cell atlas of rheumatoid arthritis synovial tissue that includes more than 314,000 cells. We stratified tissues into six groups, referred to as cell-type abundance phenotypes (CTAPs), each characterized by selectively enriched cell states. These CTAPs demonstrate the diversity of synovial inflammation in rheumatoid arthritis, ranging from samples enriched for T and B cells to those largely lacking lymphocytes. Disease-relevant cell states, cytokines, risk genes, histology and serology metrics are associated with particular CTAPs. CTAPs are dynamic and can predict treatment response, highlighting the clinical utility of classifying rheumatoid arthritis synovial phenotypes. This comprehensive atlas and molecular, tissue-based stratification of rheumatoid arthritis synovial tissue reveal new insights into rheumatoid arthritis pathology and heterogeneity that could inform novel targeted treatments.
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Affiliation(s)
- Fan Zhang
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology and the Center for Health Artificial Intelligence, University of Colorado School of Medicine, Aurora, CO, USA
| | - Anna Helena Jonsson
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Aparna Nathan
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nghia Millard
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michelle Curtis
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Qian Xiao
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Maria Gutierrez-Arcelus
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Immunology, Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - William Apruzzese
- Accelerating Medicines Partnership Program: Rheumatoid Arthritis and Systemic Lupus Erythematosus (AMP RA/SLE) Network, Bethesda, MD, USA
| | - Gerald F M Watts
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Dana Weisenfeld
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Saba Nayar
- Rheumatology Research Group, Institute for Inflammation and Ageing, University of Birmingham, Birmingham, UK
- Birmingham Tissue Analytics, Institute of Translational Medicine, University of Birmingham, Birmingham, UK
| | - Javier Rangel-Moreno
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Nida Meednu
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Kathryne E Marks
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ian Mantel
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Joyce B Kang
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Laurie Rumker
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joseph Mears
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kamil Slowikowski
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital (MGH), Boston, MA, USA
| | - Kathryn Weinand
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dana E Orange
- Hospital for Special Surgery, New York, NY, USA
- Laboratory of Molecular Neuro-Oncology, The Rockefeller University, New York, NY, USA
| | - Laura Geraldino-Pardilla
- Division of Rheumatology, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Kevin D Deane
- Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Darren Tabechian
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Arnoldas Ceponis
- Division of Rheumatology, Allergy and Immunology, University of California, San Diego, La Jolla, CA, USA
| | - Gary S Firestein
- Division of Rheumatology, Allergy and Immunology, University of California, San Diego, La Jolla, CA, USA
| | - Mark Maybury
- Rheumatology Research Group, Institute for Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Center and Clinical Research Facility, University of Birmingham, Queen Elizabeth Hospital, Birmingham, UK
| | - Ilfita Sahbudin
- Rheumatology Research Group, Institute for Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Center and Clinical Research Facility, University of Birmingham, Queen Elizabeth Hospital, Birmingham, UK
| | - Ami Ben-Artzi
- Division of Rheumatology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Arthur M Mandelin
- Division of Rheumatology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alessandra Nerviani
- Centre for Experimental Medicine and Rheumatology, EULAR Centre of Excellence, William Harvey Research Institute, Queen Mary University of London, London, UK
- Barts Health NHS Trust, Barts Biomedical Research Centre (BRC), National Institute for Health and Care Research (NIHR), London, UK
| | - Myles J Lewis
- Centre for Experimental Medicine and Rheumatology, EULAR Centre of Excellence, William Harvey Research Institute, Queen Mary University of London, London, UK
- Barts Health NHS Trust, Barts Biomedical Research Centre (BRC), National Institute for Health and Care Research (NIHR), London, UK
| | - Felice Rivellese
- Centre for Experimental Medicine and Rheumatology, EULAR Centre of Excellence, William Harvey Research Institute, Queen Mary University of London, London, UK
- Barts Health NHS Trust, Barts Biomedical Research Centre (BRC), National Institute for Health and Care Research (NIHR), London, UK
| | - Costantino Pitzalis
- Centre for Experimental Medicine and Rheumatology, EULAR Centre of Excellence, William Harvey Research Institute, Queen Mary University of London, London, UK
- Barts Health NHS Trust, Barts Biomedical Research Centre (BRC), National Institute for Health and Care Research (NIHR), London, UK
- Department of Biomedical Sciences, Humanitas University and Humanitas Research Hospital, Milan, Italy
| | - Laura B Hughes
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Diane Horowitz
- Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York, NY, USA
| | - Edward DiCarlo
- Department of Pathology and Laboratory Medicine, Hospital for Special Surgery, New York, NY, USA
| | - Ellen M Gravallese
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Brendan F Boyce
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Larry W Moreland
- Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
- Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Susan M Goodman
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Harris Perlman
- Division of Rheumatology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - V Michael Holers
- Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Katherine P Liao
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Andrew Filer
- Rheumatology Research Group, Institute for Inflammation and Ageing, University of Birmingham, Birmingham, UK
- Birmingham Tissue Analytics, Institute of Translational Medicine, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Center and Clinical Research Facility, University of Birmingham, Queen Elizabeth Hospital, Birmingham, UK
| | - Vivian P Bykerk
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Kevin Wei
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Deepak A Rao
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura T Donlin
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Jennifer H Anolik
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael B Brenner
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA.
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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18
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Joshua V, Loberg Haarhaus M, Hensvold A, Wähämaa H, Gerstner C, Hansson M, Israelsson L, Stålesen R, Sköld M, Grunewald J, Klareskog L, Grönwall C, Réthi B, Catrina A, Malmström V. Rheumatoid Arthritis-Specific Autoimmunity in the Lung Before and at the Onset of Disease. Arthritis Rheumatol 2023; 75:1910-1922. [PMID: 37192126 DOI: 10.1002/art.42549] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/14/2023] [Accepted: 04/18/2023] [Indexed: 05/18/2023]
Abstract
OBJECTIVE The lung is implicated as a site for breach of tolerance prior to onset of seropositive rheumatoid arthritis (RA). To substantiate this, we investigated lung-resident B cells in bronchoalveolar lavage (BAL) samples from untreated early RA patients and anti-citrullinated protein antibody (ACPA)-positive individuals at risk for developing RA. METHODS Single B cells (n = 7,680) were phenotyped and isolated from BAL samples from individuals at risk of RA (n = 3) and at RA diagnosis (n = 9). The immunoglobulin variable region transcripts were sequenced and selected for expression as monoclonal antibodies (n = 141). Monoclonal ACPAs were tested for reactivity patterns and binding to neutrophils. RESULTS Using our single-cell approach, we found significantly increased proportions of B lymphocytes in ACPA+ compared to ACPA- individuals. Memory and double-negative B cells were prominent in all subgroups. Upon antibody re-expression, 7 highly mutated citrulline-autoreactive clones originating from different memory B cell subsets were identified, both in individuals at risk of RA and early RA patients. Lung IgG variable gene transcripts from ACPA+ individuals carried frequent mutation-induced N-linked Fab glycosylation sites (P < 0.001), often in the framework 3 of the variable region. Two of the lung ACPAs bound to activated neutrophils, 1 from an individual at risk of RA and 1 from an early RA patient. CONCLUSION T cell-driven B cell differentiation resulting in local class switching and somatic hypermutation are evident in lungs before as well as in early stages of ACPA+ RA. Our findings add to the notion of lung mucosa being a site for initiation of citrulline autoimmunity preceding seropositive RA.
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Affiliation(s)
- Vijay Joshua
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Malena Loberg Haarhaus
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Aase Hensvold
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Heidi Wähämaa
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Christina Gerstner
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Monika Hansson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lena Israelsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Ragnhild Stålesen
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Magnus Sköld
- Division of Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Department of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden
| | - Johan Grunewald
- Division of Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Lars Klareskog
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Caroline Grönwall
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Bence Réthi
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Anca Catrina
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Vivianne Malmström
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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19
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Ye Z, Wang Y, Xiang B, Wang H, Tao H, Zhang C, Zhang S, Sun D, Luo F, Song L. Roles of the Siglec family in bone and bone homeostasis. Biomed Pharmacother 2023; 165:115064. [PMID: 37413904 DOI: 10.1016/j.biopha.2023.115064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/23/2023] [Accepted: 06/23/2023] [Indexed: 07/08/2023] Open
Abstract
Tremendous progress has been seen in the study of the role of sialic acid binding im-munoglobulin type lectins (Siglecs) in osteoimmunology in the past two decades. Interest in Siglecs as immune checkpoints has grown from the recognition that Siglecs have relevance to human disease. Siglecs play important roles in inflammation and cancer, and play key roles in immune cell signaling. By recognizing common sialic acid containing glycans on glycoproteins and glycolipids as regulatory receptors for immune cell signals, Siglecs are expressed on most immune cells and play important roles in normal homeostasis and self-tolerance. In this review, we describe the role that the siglec family plays in bone and bone homeostasis, including the regulation of osteoclast differentiation as well as recent advances in inflammation, cancer and osteoporosis. Particular emphasis is placed on the relevant functions of Siglecs in self-tolerance and as pattern recognition receptors in immune responses, thereby potentially providing emerging strategies for the treatment of bone related diseases.
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Affiliation(s)
- Zi Ye
- The Fourth Corps of Students of the Basic Medical College, Army Medical University, Chongqing 400037, China
| | - Yetong Wang
- The Fourth Corps of Students of the Basic Medical College, Army Medical University, Chongqing 400037, China
| | - Binqing Xiang
- Department of Surgical Anesthesia, First Affiliated Hospital, Army Medical University, Chongqing 400038, China
| | - Heng Wang
- Army Border Defense 331st Brigade, Dandong 118000, China
| | - Haiyan Tao
- Health Management Center, First Affiliated Hospital, Army Medical University, Chongqing 400038, China
| | - Chengmin Zhang
- Department of Orthopaedics, First Affiliated Hospital, Army Medical University, Chongqing 400038, China
| | - Shuai Zhang
- Department of Orthopaedics, First Affiliated Hospital, Army Medical University, Chongqing 400038, China
| | - Dong Sun
- Department of Orthopaedics, First Affiliated Hospital, Army Medical University, Chongqing 400038, China.
| | - Fei Luo
- Department of Orthopaedics, First Affiliated Hospital, Army Medical University, Chongqing 400038, China.
| | - Lei Song
- Department of Orthopaedics, First Affiliated Hospital, Army Medical University, Chongqing 400038, China.
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20
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Satitsuksanoa P, Iwasaki S, Boersma J, Bel Imam M, Schneider SR, Chang I, van de Veen W, Akdis M. B cells: The many facets of B cells in allergic diseases. J Allergy Clin Immunol 2023; 152:567-581. [PMID: 37247640 DOI: 10.1016/j.jaci.2023.05.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 03/30/2023] [Accepted: 05/16/2023] [Indexed: 05/31/2023]
Abstract
B cells play a key role in our immune system through their ability to produce antibodies, suppress a proinflammatory state, and contribute to central immune tolerance. We aim to provide an in-depth knowledge of the molecular biology of B cells, including their origin, developmental process, types and subsets, and functions. In allergic diseases, B cells are well known to induce and maintain immune tolerance through the production of suppressor cytokines such as IL-10. Similarly, B cells protect against viral infections such as severe acute respiratory syndrome coronavirus 2 that caused the recent coronavirus disease 2019 pandemic. Considering the unique and multifaceted functions of B cells, we hereby provide a comprehensive overview of the current knowledge of B-cell biology and its clinical applications in allergic diseases, organ transplantation, and cancer.
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Affiliation(s)
- Pattraporn Satitsuksanoa
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland.
| | - Sayuri Iwasaki
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland; Wageningen University & Research, Wageningen, The Netherlands
| | - Jolien Boersma
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland; Wageningen University & Research, Wageningen, The Netherlands
| | - Manal Bel Imam
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland
| | - Stephan R Schneider
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland
| | - Iris Chang
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland; Sean N. Parker Centre for Allergy and Asthma Research, Department of Medicine, Stanford University, Palo Alto, Calif
| | - Willem van de Veen
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland
| | - Mübeccel Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland.
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21
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Moysidou E, Lioulios G, Christodoulou M, Xochelli A, Stai S, Iosifidou M, Iosifidou A, Briza S, Briza DI, Fylaktou A, Stangou M. Increase in Double Negative B Lymphocytes in Patients with Systemic Lupus Erythematosus in Remission and Their Correlation with Early Differentiated T Lymphocyte Subpopulations. Curr Issues Mol Biol 2023; 45:6667-6681. [PMID: 37623240 PMCID: PMC10453294 DOI: 10.3390/cimb45080421] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/05/2023] [Accepted: 08/08/2023] [Indexed: 08/26/2023] Open
Abstract
B and T lymphocytes demonstrate important alterations in patients with systemic lupus erythematous (SLE), with a significant upregulation of double negative (DN) B cells. The aim of this study was to evaluate the correlation of T cell immunity changes with the distinct B-cell-pattern SLE. In the present study, flow cytometry was performed in 30 patients in remission of SLE and 31 healthy controls to detect DN B cells (CD19+IgD-CD27-) and a wide range of T lymphocyte subpopulations based on the presence of CD45RA, CCR7, CD31, CD28, and CD57, defined as naive, memory, and advanced differentiated/senescent T cells. Both B and T lymphocytes were significantly reduced in SLE patients. However, the percentage of DN B cells were increased compared to HC (12.9 (2.3-74.2) vs. 8 (1.7-35), p = 0.04). The distribution of CD4 and CD8 lymphocytes demonstrated a shift to advanced differentiated subsets. The population of DN B cells had a significant positive correlation with most of the early differentiated T lymphocytes, CD4CD31+, CD4CD45RA+CD28+, CD4CD45RA+CD57-, CD4CD45RA-CD57-, CD4CD28+CD57-, CD4CD28+CD57+, CD4 CM, CD8 CD31+, CD8 NAÏVE, CD8CD45RA-CD57-, CD8CD28+CD57-, and CD8CD28+CD57+. Multiple regression analysis revealed CD4CD31+, CD8CD45RA-CD57-, and CD8CD28+CD57- cells as independent parameters contributing to DN B cells, with adjusted R2 = 0.534 and p < 0.0001. The predominance of DN B cells in patients with SLE is closely associated with early differentiated T lymphocyte subsets, indicating a potential causality role of DN B cells in T lymphocyte activation.
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Affiliation(s)
- Eleni Moysidou
- School of Medicine, Aristotle University of Thessaloniki, 45636 Thessaloniki, Greece; (E.M.); (G.L.); (M.C.); (S.S.); (M.I.); (A.I.)
- Department of Nephrology, General Hospital “Hippokration”, 54642 Thessaloniki, Greece
| | - Georgios Lioulios
- School of Medicine, Aristotle University of Thessaloniki, 45636 Thessaloniki, Greece; (E.M.); (G.L.); (M.C.); (S.S.); (M.I.); (A.I.)
- Department of Nephrology, General Hospital “Hippokration”, 54642 Thessaloniki, Greece
| | - Michalis Christodoulou
- School of Medicine, Aristotle University of Thessaloniki, 45636 Thessaloniki, Greece; (E.M.); (G.L.); (M.C.); (S.S.); (M.I.); (A.I.)
- Department of Nephrology, General Hospital “Hippokration”, 54642 Thessaloniki, Greece
| | - Aliki Xochelli
- Department of Immunology, National Histocompatibility Center, General Hospital “Hippokration”, 54642 Thessaloniki, Greece; (A.X.); (A.F.)
| | - Stamatia Stai
- School of Medicine, Aristotle University of Thessaloniki, 45636 Thessaloniki, Greece; (E.M.); (G.L.); (M.C.); (S.S.); (M.I.); (A.I.)
- Department of Nephrology, General Hospital “Hippokration”, 54642 Thessaloniki, Greece
| | - Myrto Iosifidou
- School of Medicine, Aristotle University of Thessaloniki, 45636 Thessaloniki, Greece; (E.M.); (G.L.); (M.C.); (S.S.); (M.I.); (A.I.)
| | - Artemis Iosifidou
- School of Medicine, Aristotle University of Thessaloniki, 45636 Thessaloniki, Greece; (E.M.); (G.L.); (M.C.); (S.S.); (M.I.); (A.I.)
| | - Sophia Briza
- Department of Architecture, School of Engineering, University of Thessaly, 38334 Thessaly, Greece;
| | - Dimitria Ioanna Briza
- School of Informatics, Aristotle University of Thessaloniki, 45636 Thessaloniki, Greece;
| | - Asimina Fylaktou
- Department of Immunology, National Histocompatibility Center, General Hospital “Hippokration”, 54642 Thessaloniki, Greece; (A.X.); (A.F.)
| | - Maria Stangou
- School of Medicine, Aristotle University of Thessaloniki, 45636 Thessaloniki, Greece; (E.M.); (G.L.); (M.C.); (S.S.); (M.I.); (A.I.)
- Department of Nephrology, General Hospital “Hippokration”, 54642 Thessaloniki, Greece
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22
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Lima K, Ribas GT, Riella LV, Borges TJ. Inhibitory innate receptors and their potential role in transplantation. Transplant Rev (Orlando) 2023; 37:100776. [PMID: 37451057 DOI: 10.1016/j.trre.2023.100776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/18/2023]
Abstract
The regulatory arm of the immune system plays a crucial role in maintaining immune tolerance and preventing excessive immune responses. Immune regulation comprises various regulatory cells and molecules that work together to suppress or regulate immune responses. The programmed cell death protein 1 (PD-1) and cytotoxic T lymphocyte-associated protein 4 (CTLA-4) are examples of inhibitory receptors that counteract activating signals and fine-tune immune responses. While most of the discoveries of immune regulation have been related to T cells and the adaptive immune system, the innate arm of the immune system also has a range of inhibitory receptors that can counteract activating signals and suppress the effector immune responses. Targeting these innate inhibitory receptors may provide a complementary therapeutic approach in several immune-related conditions, including transplantation. In this review, we will explore the potential role of innate inhibitory receptors in controlling alloimmunity during solid organ transplantation.
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Affiliation(s)
- Karina Lima
- Center for Transplantation Sciences, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Departamento de Ciências Básicas da Saúde, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil
| | - Guilherme T Ribas
- Center for Transplantation Sciences, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Professional and Technological Education Sector, Federal University of Paraná, Curitiba, Paraná, Brazil
| | - Leonardo V Riella
- Center for Transplantation Sciences, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Thiago J Borges
- Center for Transplantation Sciences, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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23
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Han L, Zhang L. CCL21/CCR7 axis as a therapeutic target for autoimmune diseases. Int Immunopharmacol 2023; 121:110431. [PMID: 37331295 DOI: 10.1016/j.intimp.2023.110431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/19/2023] [Accepted: 05/30/2023] [Indexed: 06/20/2023]
Abstract
Chemokine receptor 7 (CCR7) is a G protein-coupled receptor containing 7 transmembrane domains that is expressed on various cells, such as naive T/B cells, central memory T cells, regulatory T cells, immature/mature dendritic cells (DCs), natural killer cells, and a minority of tumor cells. Chemokine ligand 21 (CCL21) is the known high-affinity ligand that binds to CCR7 and drives cell migration in tissues. CCL21 is mainly produced by stromal cells and lymphatic endothelial cells, and its expression is significantly increased under inflammatory conditions. Genome-wide association studies (GWAS) have shown a strong association between CCL21/CCR7 axis and disease severity in patients with rheumatoid arthritis, sjogren's syndrome, systemic lupus erythematosus, polymyositis, ankylosing spondylitis, and asthma. Disrupting CCL21/CCR7 interaction with antibodies or inhibitors prevents the migration of CCR7-expressing immune and non-immune cells at the site of inflammation and reduces disease severity. This review emphasizes the importance of the CCL21 /CCR7 axis in autoimmune diseases and evaluates its potential as a novel therapeutic target for these conditions.
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Affiliation(s)
- Le Han
- Department of Pharmacy, The Affiliated Jiangyin Hospital of Southeast University Medical College, Jiangyin 214400, China
| | - Lingling Zhang
- Institute of Clinical Pharmacology, Anhui Medical University, Key Laboratory of Anti-Inflammatory and Immune Medicine, Ministry of Education, Anhui Collaborative Innovation Centre of Anti-Inflammatory and Immune Medicine, Center of Rheumatoid Arthritis of Anhui Medical University, Hefei 230032, China.
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24
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Weinand K, Sakaue S, Nathan A, Jonsson AH, Zhang F, Watts GFM, Zhu Z, Rao DA, Anolik JH, Brenner MB, Donlin LT, Wei K, Raychaudhuri S. The Chromatin Landscape of Pathogenic Transcriptional Cell States in Rheumatoid Arthritis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.07.536026. [PMID: 37066336 PMCID: PMC10104143 DOI: 10.1101/2023.04.07.536026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Synovial tissue inflammation is the hallmark of rheumatoid arthritis (RA). Recent work has identified prominent pathogenic cell states in inflamed RA synovial tissue, such as T peripheral helper cells; however, the epigenetic regulation of these states has yet to be defined. We measured genome-wide open chromatin at single cell resolution from 30 synovial tissue samples, including 12 samples with transcriptional data in multimodal experiments. We identified 24 chromatin classes and predicted their associated transcription factors, including a CD8+ GZMK+ class associated with EOMES and a lining fibroblast class associated with AP-1. By integrating an RA tissue transcriptional atlas, we found that the chromatin classes represented 'superstates' corresponding to multiple transcriptional cell states. Finally, we demonstrated the utility of this RA tissue chromatin atlas through the associations between disease phenotypes and chromatin class abundance as well as the nomination of classes mediating the effects of putatively causal RA genetic variants.
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Affiliation(s)
- Kathryn Weinand
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saori Sakaue
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aparna Nathan
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anna Helena Jonsson
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Fan Zhang
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Rheumatology and the Center for Health Artificial Intelligence, University of Colorado School of Medicine, Aurora, CO, USA
| | - Gerald F. M. Watts
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Zhu Zhu
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Deepak A. Rao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jennifer H. Anolik
- Division of Allergy, Immunology and Rheumatology; Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael B. Brenner
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura T. Donlin
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Kevin Wei
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Center for Data Sciences, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
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25
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Hensvold A, Horuluoglu B, Sahlström P, Thyagarajan R, Diaz Boada JS, Hansson M, Mathsson-Alm L, Gerstner C, Sippl N, Israelsson L, Wedin R, Steen J, Klareskog L, Réthi B, Catrina AI, Diaz-Gallo LM, Malmström V, Grönwall C. The human bone marrow plasma cell compartment in rheumatoid arthritis - Clonal relationships and anti-citrulline autoantibody producing cells. J Autoimmun 2023; 136:103022. [PMID: 37001434 DOI: 10.1016/j.jaut.2023.103022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/24/2023] [Accepted: 02/27/2023] [Indexed: 03/31/2023]
Abstract
A majority of circulating IgG is produced by plasma cells residing in the bone marrow (BM). Long-lived BM plasma cells constitute our humoral immune memory and are essential for infection-specific immunity. They may also provide a reservoir of potentially pathogenic autoantibodies, including rheumatoid arthritis (RA)-associated anti-citrullinated protein autoantibodies (ACPA). Here we investigated paired human BM plasma cell and peripheral blood (PB) B-cell repertoires in seropositive RA, four ACPA+ RA patients and one ACPA- using two different single-cell approaches, flow cytometry sorting, and transcriptomics, followed by recombinant antibody generation. Immunoglobulin (Ig) analysis of >900 paired heavy-light chains from BM plasma cells identified by either surface CD138 expression or transcriptome profiles (including gene expression of MZB1, JCHAIN and XBP1) demonstrated differences in IgG/A repertoires and N-linked glycosylation between patients. For three patients, we identified clonotypes shared between BM plasma cells and PB memory B cells. Notably, four individuals displayed plasma cells with identical heavy chains but different light chains, which may indicate receptor revision or clonal convergence. ACPA-producing BM plasma cells were identified in two ACPA+ patients. Three of 44 recombinantly expressed monoclonal antibodies from ACPA+ RA BM plasma cells were CCP2+, specifically binding to citrullinated peptides. Out of these, two clones reacted with citrullinated histone-4 and activated neutrophils. In conclusion, single-cell investigation of B-cell repertoires in RA bone marrow provided new understanding of human plasma cells clonal relationships and demonstrated pathogenically relevant disease-associated autoantibody expression in long-lived plasma cells.
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Affiliation(s)
- Aase Hensvold
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden; Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
| | - Begum Horuluoglu
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Peter Sahlström
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Radha Thyagarajan
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Juan Sebastian Diaz Boada
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Monika Hansson
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Linda Mathsson-Alm
- Thermo Fisher Scientific, Uppsala, Sweden; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Christina Gerstner
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Natalie Sippl
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lena Israelsson
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Rikard Wedin
- Department of Trauma and Reparative Medicine, Karolinska University Hospital, and Department of Molecular Medicine and Surgery, Karolinska Institutet, Sweden
| | - Johanna Steen
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lars Klareskog
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Bence Réthi
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Anca I Catrina
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden; Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
| | - Lina-Marcela Diaz-Gallo
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Vivianne Malmström
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Caroline Grönwall
- Department of Medicine, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
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26
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García-Valiente R, Merino Tejero E, Stratigopoulou M, Balashova D, Jongejan A, Lashgari D, Pélissier A, Caniels TG, Claireaux MAF, Musters A, van Gils MJ, Rodríguez Martínez M, de Vries N, Meyer-Hermann M, Guikema JEJ, Hoefsloot H, van Kampen AHC. Understanding repertoire sequencing data through a multiscale computational model of the germinal center. NPJ Syst Biol Appl 2023; 9:8. [PMID: 36927990 PMCID: PMC10019394 DOI: 10.1038/s41540-023-00271-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 02/20/2023] [Indexed: 03/18/2023] Open
Abstract
Sequencing of B-cell and T-cell immune receptor repertoires helps us to understand the adaptive immune response, although it only provides information about the clonotypes (lineages) and their frequencies and not about, for example, their affinity or antigen (Ag) specificity. To further characterize the identified clones, usually with special attention to the particularly abundant ones (dominant), additional time-consuming or expensive experiments are generally required. Here, we present an extension of a multiscale model of the germinal center (GC) that we previously developed to gain more insight in B-cell repertoires. We compare the extent that these simulated repertoires deviate from experimental repertoires established from single GCs, blood, or tissue. Our simulations show that there is a limited correlation between clonal abundance and affinity and that there is large affinity variability among same-ancestor (same-clone) subclones. Our simulations suggest that low-abundance clones and subclones, might also be of interest since they may have high affinity for the Ag. We show that the fraction of plasma cells (PCs) with high B-cell receptor (BcR) mRNA content in the GC does not significantly affect the number of dominant clones derived from single GCs by sequencing BcR mRNAs. Results from these simulations guide data interpretation and the design of follow-up experiments.
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Affiliation(s)
- Rodrigo García-Valiente
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, The Netherlands
| | - Elena Merino Tejero
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, The Netherlands
| | - Maria Stratigopoulou
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Amsterdam UMC location University of Amsterdam, Medical Microbiology and Infection Prevention, Meibergdreef 9, Amsterdam, The Netherlands
| | - Daria Balashova
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, The Netherlands
| | - Aldo Jongejan
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, The Netherlands
| | - Danial Lashgari
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, The Netherlands
| | - Aurélien Pélissier
- IBM Research Zurich, 8803, Rüschlikon, Switzerland
- Department of Biosystems Science and Engineering, ETH Zurich, 4058, Basel, Switzerland
| | - Tom G Caniels
- Amsterdam UMC location University of Amsterdam, Medical Microbiology and Infection Prevention, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
| | - Mathieu A F Claireaux
- Amsterdam UMC location University of Amsterdam, Medical Microbiology and Infection Prevention, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
| | - Anne Musters
- Amsterdam UMC location University of Amsterdam, Experimental Immunology, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands
| | - Marit J van Gils
- Amsterdam UMC location University of Amsterdam, Medical Microbiology and Infection Prevention, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Infection and Immunity, Infectious Diseases, Amsterdam, The Netherlands
| | | | - Niek de Vries
- Amsterdam UMC location University of Amsterdam, Experimental Immunology, Meibergdreef 9, Amsterdam, The Netherlands
- Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands
| | - Michael Meyer-Hermann
- Department for Systems Immunology and Braunschweig Integrated Centre of Systems Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- Institute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, Braunschweig, Germany
| | - Jeroen E J Guikema
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Amsterdam UMC location University of Amsterdam, Pathology, Lymphoma and Myeloma Center Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Huub Hoefsloot
- Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Antoine H C van Kampen
- Amsterdam UMC location University of Amsterdam, Epidemiology and Data Science, Meibergdreef 9, Amsterdam, The Netherlands.
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands.
- Amsterdam Infection and Immunity, Inflammatory Diseases, Amsterdam, The Netherlands.
- Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
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27
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Beckers L, Somers V, Fraussen J. IgD -CD27 - double negative (DN) B cells: Origins and functions in health and disease. Immunol Lett 2023; 255:67-76. [PMID: 36906182 DOI: 10.1016/j.imlet.2023.03.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 03/11/2023]
Abstract
Human B cells can be divided into four main subsets based on differential expression of immunoglobulin (Ig)D and CD27. IgD-CD27- double negative (DN) B cells make up a heterogeneous group of B cells that have first been described in relation to aging and systemic lupus erythematosus but have been mostly disregarded in B cell research. Over the last few years, DN B cells have gained a lot of interest because of their involvement in autoimmune and infectious diseases. DN B cells can be divided into different subsets that originate via different developmental processes and have different functional properties. Further research into the origin and function of different DN subsets is needed to better understand the role of these B cells in normal immune responses and how they could be targeted in specific pathologies. In this review, we give an overview of both phenotypic and functional properties of DN B cells and provide insight into the currently proposed origins of DN B cells. Moreover, their involvement in normal aging and different pathologies is discussed.
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Affiliation(s)
- Lien Beckers
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - Veerle Somers
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - Judith Fraussen
- University MS Center (UMSC), Hasselt-Pelt, Hasselt, Belgium; Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium.
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28
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Chen L, Li Z, Wu H. CeDAR: incorporating cell type hierarchy improves cell type-specific differential analyses in bulk omics data. Genome Biol 2023; 24:37. [PMID: 36855165 PMCID: PMC9972684 DOI: 10.1186/s13059-023-02857-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 01/17/2023] [Indexed: 03/02/2023] Open
Abstract
Bulk high-throughput omics data contain signals from a mixture of cell types. Recent developments of deconvolution methods facilitate cell type-specific inferences from bulk data. Our real data exploration suggests that differential expression or methylation status is often correlated among cell types. Based on this observation, we develop a novel statistical method named CeDAR to incorporate the cell type hierarchy in cell type-specific differential analyses of bulk data. Extensive simulation and real data analyses demonstrate that this approach significantly improves the accuracy and power in detecting cell type-specific differential signals compared with existing methods, especially in low-abundance cell types.
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Affiliation(s)
- Luxiao Chen
- Department of Biostatistics and Bioinformatics, Emory University, GA 30322 Atlanta, USA
| | - Ziyi Li
- Department of Biostatistics, The University of MD Anderson Cancer Center, 77030 Houston, TX, USA
| | - Hao Wu
- Faculty of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, 518055 P.R. China
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29
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Effect of climatic environment on immunological features of rheumatoid arthritis. Sci Rep 2023; 13:1304. [PMID: 36693893 PMCID: PMC9873807 DOI: 10.1038/s41598-022-27153-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/27/2022] [Indexed: 01/25/2023] Open
Abstract
The aim of this study was to clarify the effect of climatic environment on the immunological features of rheumatoid arthritis (RA). Blood samples were collected from patients with RA and healthy controls (HCs), matched by age and sex, living in two locations, Tsukuba and Karuizawa, which differ in their altitude and average air temperature and atmospheric pressure. Analysis of peripheral blood mononuclear cells (PBMCs) revealed that the proportion of T and B cell subpopulations in HCs and RA patients were significantly different between two sites. Inverse probability weighting adjustment with propensity scores was used to control for potential confounding factors. The results revealed that, in comparison with RA patients in Tsukuba, those in Karuizawa showed a significant increase in cTh1, cTfh1, and Tph cells, and significant decrease in cTh17, cTh17.1, and CD8+ Treg in T cell subpopulations, and a significant increase in DNB, DN1, DN2, and class-switched memory B cells, and a significant decrease in unswitched memory B, naïve B cells, and ABCs in B cell subpopulations. Our results suggest the possibility that climatic environment might have an effect on immune cell proportion and function, and be related to the pathogenic mechanism of RA.
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30
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Velounias RL, Tull TJ. Human B-cell subset identification and changes in inflammatory diseases. Clin Exp Immunol 2022; 210:201-216. [PMID: 36617261 PMCID: PMC9985170 DOI: 10.1093/cei/uxac104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 10/19/2022] [Accepted: 11/15/2022] [Indexed: 01/09/2023] Open
Abstract
Our understanding of the B-cell subsets found in human blood and their functional significance has advanced greatly in the past decade. This has been aided by the evolution of high dimensional phenotypic tools such as mass cytometry and single-cell RNA sequencing which have revealed heterogeneity in populations that were previously considered homogenous. Despite this, there is still uncertainty and variation between studies as to how B-cell subsets are identified and named. This review will focus on the most commonly encountered subsets of B cells in human blood and will describe gating strategies for their identification by flow and mass cytometry. Important changes to population frequencies and function in common inflammatory and autoimmune diseases will also be described.
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Affiliation(s)
- Rebekah L Velounias
- Department of Immunobiology, King’s College London, Guy’s Hospital Campus, London, UK
| | - Thomas J Tull
- St John’s Institute of Dermatology, King’s College London, Guy’s Hospital Campus, London, UK
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31
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Gatto M, Bjursten S, Jonsson CA, Agelii ML, Jonell C, McGrath S, Lönnblom E, Sareila O, Holmdahl R, Rudin A, Levin M, Gjertsson I. Early Increase of Circulating Transitional B Cells and Autoantibodies to Joint-Related Proteins in Patients With Metastatic Melanoma Developing Checkpoint Inhibitor-Induced Inflammatory Arthritis. Arthritis Rheumatol 2022; 75:856-863. [PMID: 36409578 DOI: 10.1002/art.42406] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/20/2022] [Accepted: 11/08/2022] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To investigate potential associations between B cell-related immunologic changes and development of inflammatory arthritis (IA) after treatment with immune checkpoint inhibitors (ICIs). METHODS Patients who developed ICI-induced IA (ICI-IA) and patients who did not develop immune-related adverse events (non-IRAE) after receiving ICIs to treat metastatic melanoma were consecutively recruited. Blood samples were collected at the time of ICI-IA occurrence and at different time points during treatment. Peripheral blood B cell subsets during ICI treatment were analyzed by flow cytometry. Rheumatoid factor, anti-citrullinated protein antibodies, and antibodies against joint-related proteins were measured. RESULTS Proportions of CD19+ B cells were higher in patients with ICI-IA (n = 7) compared to patients with non-IRAE (n = 15) (median 11.7% [interquartile range (IQR) 9.7-16.2%] versus 8.1% [IQR 5.7-11.0%]; P = 0.03). The proportion and absolute numbers of transitional CD19+CD10+CD24high CD38high B cells were increased in patients with ICI-IA compared to non-IRAE patients (median 8.1% [IQR 4.9-12.1%] versus 3.6% [IQR 1.9-4.9%]; median 10.7 cells/μl [IQR 8.9-19.6] versus 4.4 cells/μl [IQR 2.3-6.6]; P < 0.01 for both). In addition, higher levels of transitional B cells were associated with development of ICI-IA (odds ratio 2.25 [95% confidence interval 1.03-4.9], P = 0.04). Transitional B cells increased before the onset of overt ICI-IA and decreased between the active and quiescent stages of ICI-IA (P = 0.02). Autoantibodies to type II collagen epitopes were detected in up to 43% of ICI-IA patients compared to none of the non-IRAE patients (P = 0.02). CONCLUSION Development of ICI-IA is accompanied by an increase in transitional B cells and by production of autoantibodies to joint-related proteins. Monitoring of B cell-driven abnormalities upon ICI treatment may help earlier recognition of ICI-IA.
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Affiliation(s)
- Mariele Gatto
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, and Department of Medicine, Unit of Rheumatology, University of Padova, Italy
| | - Sara Bjursten
- Department of Oncology, Sahlgrenska University Hospital, and Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Charlotte A Jonsson
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Monica Leu Agelii
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Caroline Jonell
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Sarah McGrath
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Erik Lönnblom
- Department of Medical Biochemistry and Biophysics, Section for Medical Inflammation Research, Karolinska Institute, Stockholm, Sweden
| | - Outi Sareila
- Department of Medical Biochemistry and Biophysics, Section for Medical Inflammation Research, Karolinska Institute, Stockholm, Sweden
| | - Rikard Holmdahl
- Department of Medical Biochemistry and Biophysics, Section for Medical Inflammation Research, Karolinska Institute, Stockholm, Sweden
| | - Anna Rudin
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Max Levin
- Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden, Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, and Wallenberg Laboratory for Cardiovascular Research, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Inger Gjertsson
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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32
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Yoshitomi H. Peripheral Helper T Cell Responses in Human Diseases. Front Immunol 2022; 13:946786. [PMID: 35880181 PMCID: PMC9307902 DOI: 10.3389/fimmu.2022.946786] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
A series of rheumatoid arthritis (RA) studies established a PD-1hiCXCR5-CD4+ T-cell subset that was coined peripheral helper T (Tph) cells. CXCL13 production is a key feature of Tph cells and may contribute to the formation of tertiary lymphoid structures (TLS) in inflamed tissues. In addition, Tph cells provide help to B cells in situ as efficiently as follicular helper T (Tfh) cells, and these features would implicate Tph cells in the pathogenesis of RA. Subsequent studies have revealed that Tph cells are involved in various human diseases such as autoimmune diseases, infectious diseases, and cancers. Although the analysis of human immunity has various limitations, accumulating evidence demonstrated the expansion of B cells with low somatic hypermutation and a link between TLS and immune functions in these diseases. We discuss about the emerging roles of the Tph cell and its relevant immune responses in peripheral tissues including B-cell expansion with atypical features.
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33
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Abuhattum S, Kotzbeck P, Schlüßler R, Harger A, Ariza de Schellenberger A, Kim K, Escolano JC, Müller T, Braun J, Wabitsch M, Tschöp M, Sack I, Brankatschk M, Guck J, Stemmer K, Taubenberger AV. Adipose cells and tissues soften with lipid accumulation while in diabetes adipose tissue stiffens. Sci Rep 2022; 12:10325. [PMID: 35725987 PMCID: PMC9209483 DOI: 10.1038/s41598-022-13324-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 05/23/2022] [Indexed: 12/14/2022] Open
Abstract
Adipose tissue expansion involves both differentiation of new precursors and size increase of mature adipocytes. While the two processes are well balanced in healthy tissues, obesity and diabetes type II are associated with abnormally enlarged adipocytes and excess lipid accumulation. Previous studies suggested a link between cell stiffness, volume and stem cell differentiation, although in the context of preadipocytes, there have been contradictory results regarding stiffness changes with differentiation. Thus, we set out to quantitatively monitor adipocyte shape and size changes with differentiation and lipid accumulation. We quantified by optical diffraction tomography that differentiating preadipocytes increased their volumes drastically. Atomic force microscopy (AFM)-indentation and -microrheology revealed that during the early phase of differentiation, human preadipocytes became more compliant and more fluid-like, concomitant with ROCK-mediated F-actin remodelling. Adipocytes that had accumulated large lipid droplets were more compliant, and further promoting lipid accumulation led to an even more compliant phenotype. In line with that, high fat diet-induced obesity was associated with more compliant adipose tissue compared to lean animals, both for drosophila fat bodies and murine gonadal adipose tissue. In contrast, adipose tissue of diabetic mice became significantly stiffer as shown not only by AFM but also magnetic resonance elastography. Altogether, we dissect relative contributions of the cytoskeleton and lipid droplets to cell and tissue mechanical changes across different functional states, such as differentiation, nutritional state and disease. Our work therefore sets the basis for future explorations on how tissue mechanical changes influence the behaviour of mechanosensitive tissue-resident cells in metabolic disorders.
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Affiliation(s)
- Shada Abuhattum
- Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Tatzberg 47-51, 01307, Dresden, Germany
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum Für Physik Und Medizin, Staudtstr. 2, 91058, Erlangen, Germany
| | - Petra Kotzbeck
- Institute for Diabetes and Obesity, Helmholtz Zentrum München, Deutsches Forschungszentrum Für Gesundheit Und Umwelt GmbH, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Division of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, Auenbruggerplatz 2, 8036, Graz, Austria
| | - Raimund Schlüßler
- Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Tatzberg 47-51, 01307, Dresden, Germany
| | - Alexandra Harger
- Institute for Diabetes and Obesity, Helmholtz Zentrum München, Deutsches Forschungszentrum Für Gesundheit Und Umwelt GmbH, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Angela Ariza de Schellenberger
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Kyoohyun Kim
- Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Tatzberg 47-51, 01307, Dresden, Germany
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum Für Physik Und Medizin, Staudtstr. 2, 91058, Erlangen, Germany
| | - Joan-Carles Escolano
- Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Tatzberg 47-51, 01307, Dresden, Germany
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum Für Physik Und Medizin, Staudtstr. 2, 91058, Erlangen, Germany
| | - Torsten Müller
- JPK Instruments/Bruker, Colditzstr. 34-36, 12099, Berlin, Germany
| | - Jürgen Braun
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Martin Wabitsch
- Pediatric Endocrinology and Diabetes, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Eythstr. 24, 89075, Ulm, Germany
| | - Matthias Tschöp
- Institute for Diabetes and Obesity, Helmholtz Zentrum München, Deutsches Forschungszentrum Für Gesundheit Und Umwelt GmbH, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Ingolf Sack
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Marko Brankatschk
- Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Tatzberg 47-51, 01307, Dresden, Germany
| | - Jochen Guck
- Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Tatzberg 47-51, 01307, Dresden, Germany
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum Für Physik Und Medizin, Staudtstr. 2, 91058, Erlangen, Germany
| | - Kerstin Stemmer
- Institute for Diabetes and Obesity, Helmholtz Zentrum München, Deutsches Forschungszentrum Für Gesundheit Und Umwelt GmbH, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
- Molecular Cell Biology, Institute of Theoretical Medicine, Medical Faculty, University of Augsburg, Universitätsstrasse 2, 86159, Augsburg, Germany
| | - Anna V Taubenberger
- Biotechnology Center, Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Tatzberg 47-51, 01307, Dresden, Germany.
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Derksen VFAM, Allaart CF, Van der Helm-Van Mil AHM, Huizinga TWJ, Toes REM, van der Woude D. In rheumatoid arthritis patients, total IgA1 and IgA2 levels are elevated: implications for the mucosal origin hypothesis. Rheumatology (Oxford) 2022; 62:407-416. [PMID: 35416963 PMCID: PMC9788813 DOI: 10.1093/rheumatology/keac237] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 04/03/2022] [Accepted: 04/03/2022] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE Mucosal initiated immune responses may be involved in the pathophysiology of RA. The most abundant immunoglobulin at mucosal surfaces is IgA, of which two subclasses exist: IgA1 and IgA2. IgA2 is mainly present at mucosal sites and has been ascribed pro-inflammatory properties. As IgA subclasses might provide insights into mucosal involvement and pro-inflammatory mechanisms, we investigated IgA responses in sera of RA patients. METHODS In two cohorts of RA patients, the EAC and IMPROVED, total IgA1 and IgA2 were measured by ELISA. Furthermore, IgA subclass levels of RF and anti-citrullinated protein antibodies (anti-CCP2) were determined. The association of these IgA subclass levels with CRP and smoking was investigated. RESULTS Total IgA1 and IgA2 were increased in RA patients compared with healthy donors in both cohorts. This increase was more pronounced in seropositive RA vs seronegative RA. For RF and anti-CCP2, both IgA1 and IgA2 could be detected. No strong associations were found between IgA subclasses (total, RF and anti-CCP2) and CRP. In smoking RA patients, a trend towards a selective increase in total IgA2 and RF IgA1 and IgA2 was observed. CONCLUSION RA patients have raised IgA1 and IgA2 levels. No shift towards IgA2 was observed, indicating that the increase in total IgA is not due to translocation of mucosal IgA into the bloodstream. However, mucosal inflammation might play a role, given the association between smoking and total IgA2 levels. Despite its pro-inflammatory properties, IgA2 does not associate strongly with pro-inflammatory markers in RA patients.
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Affiliation(s)
- Veerle F A M Derksen
- Correspondence to: Veerle Derksen, Department of Rheumatology, Leiden University Medical Center, C1-R-041, Albinusdreef 2, PO Box 9600, 2300 RC Leiden, The Netherlands. E-mail:
| | | | - Annette H M Van der Helm-Van Mil
- Department of Rheumatology, Leiden University Medical Center, Leiden,Department of Rheumatology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tom W J Huizinga
- Department of Rheumatology, Leiden University Medical Center, Leiden
| | - René E M Toes
- Department of Rheumatology, Leiden University Medical Center, Leiden
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Tout I, Miossec P. The role of B cells and their interactions with stromal cells in the context of inflammatory autoimmune diseases. Clin Exp Rheumatol 2022; 21:103098. [PMID: 35417796 DOI: 10.1016/j.autrev.2022.103098] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 04/08/2022] [Indexed: 02/07/2023]
Abstract
Interactions between B cells and stromal cells have essential functions in immune cell development and responses. During chronic inflammation, the pro-inflammatory microenvironment leads to changes in stromal cells, which acquire a pathogenic phenotype specific to each organ and disease. B cells are recruited to the site of inflammation and interact with these pathogenic stromal cells contributing to the disease's severity. In addition to producing autoantibodies, B cells contribute to the pathogenesis of autoimmune inflammatory diseases by serving as professional antigen-presenting cells, producing cytokines, and through additional mechanisms. This review describes the role of B cells and their interactions with stromal cells in chronic inflammation, with a focus on human disease, using three selected autoimmune inflammatory diseases: rheumatoid arthritis, systemic lupus erythematosus and multiple sclerosis. Understanding B cells roles and their interaction with stromal cells will help develop new therapeutic options for the treatment of autoimmune diseases.
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Affiliation(s)
- Issam Tout
- Department of Clinical Immunology and Rheumatology, Immunogenomics and Inflammation Research Unit, University of Lyon, Hospices Civils de Lyon, Edouard Herriot Hospital, 5 Place d'Arsonval, 69437 Lyon, France
| | - Pierre Miossec
- Department of Clinical Immunology and Rheumatology, Immunogenomics and Inflammation Research Unit, University of Lyon, Hospices Civils de Lyon, Edouard Herriot Hospital, 5 Place d'Arsonval, 69437 Lyon, France.
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36
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Perdaens O, van Pesch V. Molecular Mechanisms of Immunosenescene and Inflammaging: Relevance to the Immunopathogenesis and Treatment of Multiple Sclerosis. Front Neurol 2022; 12:811518. [PMID: 35281989 PMCID: PMC8913495 DOI: 10.3389/fneur.2021.811518] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/27/2021] [Indexed: 12/18/2022] Open
Abstract
Aging is characterized, amongst other features, by a complex process of cellular senescence involving both innate and adaptive immunity, called immunosenescence and associated to inflammaging, a low-grade chronic inflammation. Both processes fuel each other and partially explain increasing incidence of cancers, infections, age-related autoimmunity, and vascular disease as well as a reduced response to vaccination. Multiple sclerosis (MS) is a lifelong disease, for which considerable progress in disease-modifying therapies (DMTs) and management has improved long-term survival. However, disability progression, increasing with age and disease duration, remains. Neurologists are now involved in caring for elderly MS patients, with increasing comorbidities. Aging of the immune system therefore has relevant implications for MS pathogenesis, response to DMTs and the risks mediated by these treatments. We propose to review current evidence regarding markers and molecular mechanisms of immunosenescence and their relevance to understanding MS pathogenesis. We will focus on age-related changes in the innate and adaptive immune system in MS and other auto-immune diseases, such as systemic lupus erythematosus and rheumatoid arthritis. The consequences of these immune changes on MS pathology, in interaction with the intrinsic aging process of central nervous system resident cells will be discussed. Finally, the impact of immunosenescence on disease evolution and on the safety and efficacy of current DMTs will be presented.
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Affiliation(s)
- Océane Perdaens
- Laboratory of Neurochemistry, Institute of Neuroscience, Université catholique de Louvain (UCLouvain), Brussels, Belgium
| | - Vincent van Pesch
- Laboratory of Neurochemistry, Institute of Neuroscience, Université catholique de Louvain (UCLouvain), Brussels, Belgium
- Department of Neurology, Cliniques universitaires Saint-Luc, Université catholique de Louvain (UCLouvain), Brussels, Belgium
- *Correspondence: Vincent van Pesch
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37
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Koppejan H, Hameetman M, Beyrend G, van Unen V, Kwekkeboom JC, van der Helm-van Mil AH, Toes REM, van Gaalen FA. Immunoprofiling of early, untreated rheumatoid arthritis using mass cytometry reveals an activated basophil subset inversely linked to ACPA status. Arthritis Res Ther 2021; 23:272. [PMID: 34715910 PMCID: PMC8555233 DOI: 10.1186/s13075-021-02630-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 09/19/2021] [Indexed: 11/24/2022] Open
Abstract
Background Autoantibody production is a hallmark of rheumatoid arthritis (RA). Anti-citrullinated protein antibodies (ACPA) are highly disease-specific, and their presence is associated with more severe disease and poor prognosis compared to ACPA-negative patients. However, the immune cell composition associated with antibody-positive/negative disease is incompletely defined. Mass cytometry (MC) is a high-dimensional technique offering new possibilities in the determination of the immune cell composition in rheumatic diseases. Here, we set up a broad phenotyping panel to study the immune cell profile of early untreated RA to investigate if specific immune cell subsets are associated with ACPA+ versus ACPA− RA. Methods Freshly obtained PBMCs of early, untreated RA patients (8 ACPA+ and 7 ACPA−) were analysed using a 36-marker MC panel, including markers related to various immune lineages. Data were processed using Cytosplore for dimensional reduction (HSNE) and clustering. Groups were compared using Cytofast. A second validation cohort of cryopreserved PBMCs obtained from early RA patients (27 ACPA+ and 20 ACPA−) was used to confirm MC data by flow cytometry (FC). FC data were processed and analysed using both an unsupervised analysis pipeline and through manual gating. Results MC indicated no differences when comparing major immune lineages (i.e. monocytes, T and B cells), but highlighted two innate subsets: CD62L+ basophils (p = 0.33) and a subset of CD16− NK cells (p = 0.063). Although the NK cell subset did not replicate by FC, FC replication confirmed the difference in CD62L+ basophil frequency when comparing ACPA+ to ACPA− patients (mean 0.32% vs. 0.13%; p = 0.01). Conclusions Although no differences in major lineages were found between early ACPA+ and ACPA− RA, this study identified the reduced presence of activated basophils in ACPA-negative disease as compared to ACPA-positive disease and thereby provides the first evidence for a connection between activated basophils and ACPA status. Supplementary Information The online version contains supplementary material available at 10.1186/s13075-021-02630-8.
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Affiliation(s)
- H Koppejan
- Department of Rheumatology, Leiden University Medical Center, PO box 9600 (Zone C1-R), Albinusdreef 2, 2233, ZA, Leiden, The Netherlands.
| | - M Hameetman
- Department of Rheumatology, Leiden University Medical Center, PO box 9600 (Zone C1-R), Albinusdreef 2, 2233, ZA, Leiden, The Netherlands.,Flow Core Facility, Leiden University Medical Center, Leiden, The Netherlands
| | - G Beyrend
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - V van Unen
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands.,Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - J C Kwekkeboom
- Department of Rheumatology, Leiden University Medical Center, PO box 9600 (Zone C1-R), Albinusdreef 2, 2233, ZA, Leiden, The Netherlands
| | - A H van der Helm-van Mil
- Department of Rheumatology, Leiden University Medical Center, PO box 9600 (Zone C1-R), Albinusdreef 2, 2233, ZA, Leiden, The Netherlands
| | - R E M Toes
- Department of Rheumatology, Leiden University Medical Center, PO box 9600 (Zone C1-R), Albinusdreef 2, 2233, ZA, Leiden, The Netherlands
| | - F A van Gaalen
- Department of Rheumatology, Leiden University Medical Center, PO box 9600 (Zone C1-R), Albinusdreef 2, 2233, ZA, Leiden, The Netherlands
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Nogueira Almeida L, Clauder AK, Meng L, Ehlers M, Arce S, Manz RA. MHC haplotype and B cell autoimmunity: Correlation with pathogenic IgG autoantibody subclasses and Fc glycosylation patterns. Eur J Immunol 2021; 52:197-203. [PMID: 34609741 DOI: 10.1002/eji.202149279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 08/20/2021] [Accepted: 09/28/2021] [Indexed: 12/21/2022]
Abstract
Genome-wide association studies (GWAS) have identified many genes that are associated with the development of certain autoimmune disorders, but the MHC haplotypes still represent the most prevalent genetic risk factor for many autoimmune diseases. The mechanisms by which MHC-associated genetic susceptibility translates into B cell autoimmunity and the development of autoimmune diseases are complex. There is increasing evidence that the MHC haplotype modulates autoreactive B cell responses in multiple ways. Instead of merely inhibiting the production of IgG autoantibodies and mediating complete immunological tolerance, the non-permitting MHC haplotypes seem to facilitate the production of IgG autoantibodies exhibiting Fc glycosylation patterns that are associated with reduced pathogenicity and a protective cytokine profile of T follicular helper (Tfh) cells. Here, we discuss mechanisms linking MHC haplotypes to the production of pathogenic IgG autoantibodies, which could be relevant for the development of improved diagnosis, particularly in the context of individual medicine.
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Affiliation(s)
| | - Ann-Katrin Clauder
- Institute for Systemic Inflammation Research, University of Lübeck, Lübeck, Germany
| | - Lingzhang Meng
- Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise City (Bose), Guangxi Zhuang, Autonomous Region, China
| | - Marc Ehlers
- Laboratories of Immunology and Antibody Glycan Analysis, Institute for Nutritional Medicine, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - Sergio Arce
- Department of Biomedical Sciences, University of South Carolina School of Medicine-Greenville, Greenville, SC, USA
| | - Rudolf Armin Manz
- Institute for Systemic Inflammation Research, University of Lübeck, Lübeck, Germany
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Boegel S, Castle JC, Schwarting A. Current status of use of high throughput nucleotide sequencing in rheumatology. RMD Open 2021; 7:rmdopen-2020-001324. [PMID: 33408124 PMCID: PMC7789458 DOI: 10.1136/rmdopen-2020-001324] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 09/15/2020] [Accepted: 11/24/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Here, we assess the usage of high throughput sequencing (HTS) in rheumatic research and the availability of public HTS data of rheumatic samples. METHODS We performed a semiautomated literature review on PubMed, consisting of an R-script and manual curation as well as a manual search on the Sequence Read Archive for public available HTS data. RESULTS Of the 699 identified articles, rheumatoid arthritis (n=182 publications, 26%), systemic lupus erythematous (n=161, 23%) and osteoarthritis (n=152, 22%) are among the rheumatic diseases with the most reported use of HTS assays. The most represented assay is RNA-Seq (n=457, 65%) for the identification of biomarkers in blood or synovial tissue. We also find, that the quality of accompanying clinical characterisation of the sequenced patients differs dramatically and we propose a minimal set of clinical data necessary to accompany rheumatological-relevant HTS data. CONCLUSION HTS allows the analysis of a broad spectrum of molecular features in many samples at the same time. It offers enormous potential in novel personalised diagnosis and treatment strategies for patients with rheumatic diseases. Being established in cancer research and in the field of Mendelian diseases, rheumatic diseases are about to become the third disease domain for HTS, especially the RNA-Seq assay. However, we need to start a discussion about reporting of clinical characterisation accompany rheumatological-relevant HTS data to make clinical meaningful use of this data.
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Affiliation(s)
- Sebastian Boegel
- Department of Internal Medicine, University Center of Autoimmunity, University Medical Center Mainz, Mainz, Germany
| | | | - Andreas Schwarting
- Department of Internal Medicine, University Center of Autoimmunity, University Medical Center Mainz, Mainz, Germany.,Division of Rheumatology and Clinical Immunology, University Hospital Mainz, Mainz, Germany.,Acura Rheumatology Center Rhineland Palatinate, Bad Kreuznach, Germany
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40
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Mouat IC, Morse ZJ, Shanina I, Brown KL, Horwitz MS. Latent gammaherpesvirus exacerbates arthritis through modification of age-associated B cells. eLife 2021; 10:e67024. [PMID: 34080972 PMCID: PMC8337075 DOI: 10.7554/elife.67024] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 05/31/2021] [Indexed: 12/16/2022] Open
Abstract
Epstein-Barr virus (EBV) infection is associated with rheumatoid arthritis (RA) in adults, though the nature of the relationship remains unknown. Herein, we have examined the contribution of viral infection to the severity of arthritis in mice. We have provided the first evidence that latent gammaherpesvirus infection enhances clinical arthritis, modeling EBV's role in RA. Mice latently infected with a murine analog of EBV, gammaherpesvirus 68 (γHV68), develop more severe collagen-induced arthritis and a Th1-skewed immune profile reminiscent of human disease. We demonstrate that disease enhancement requires viral latency and is not due to active virus stimulation of the immune response. Age-associated B cells (ABCs) are associated with several human autoimmune diseases, including arthritis, though their contribution to disease is not well understood. Using ABC knockout mice, we have provided the first evidence that ABCs are mechanistically required for viral enhancement of disease, thereby establishing that ABCs are impacted by latent gammaherpesvirus infection and provoke arthritis.
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Affiliation(s)
- Isobel C Mouat
- Department of Microbiology and Immunology, The University of British ColumbiaVancouverCanada
| | - Zachary J Morse
- Department of Microbiology and Immunology, The University of British ColumbiaVancouverCanada
| | - Iryna Shanina
- Department of Microbiology and Immunology, The University of British ColumbiaVancouverCanada
| | - Kelly L Brown
- Department of Pediatrics, Division of Rheumatology, and British Columbia Children's Hospital Research Institute, The University of British ColumbiaVancouverCanada
| | - Marc S Horwitz
- Department of Microbiology and Immunology, The University of British ColumbiaVancouverCanada
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Grönwall C, Liljefors L, Bang H, Hensvold AH, Hansson M, Mathsson-Alm L, Israelsson L, Joshua V, Svärd A, Stålesen R, Titcombe PJ, Steen J, Piccoli L, Sherina N, Clavel C, Svenungsson E, Gunnarsson I, Saevarsdottir S, Kastbom A, Serre G, Alfredsson L, Malmström V, Rönnelid J, Catrina AI, Lundberg K, Klareskog L. A Comprehensive Evaluation of the Relationship Between Different IgG and IgA Anti-Modified Protein Autoantibodies in Rheumatoid Arthritis. Front Immunol 2021; 12:627986. [PMID: 34093522 PMCID: PMC8173192 DOI: 10.3389/fimmu.2021.627986] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 04/26/2021] [Indexed: 12/25/2022] Open
Abstract
Seropositive rheumatoid arthritis (RA) is characterized by the presence of rheumatoid factor (RF) and anti-citrullinated protein autoantibodies (ACPA) with different fine-specificities. Yet, other serum anti-modified protein autoantibodies (AMPA), e.g. anti-carbamylated (Carb), -acetylated (KAc), and malondialdehyde acetaldehyde (MAA) modified protein antibodies, have been described. In this comprehensive study, we analyze 30 different IgG and IgA AMPA reactivities to Cit, Carb, KAc, and MAA antigens detected by ELISA and autoantigen arrays in N=1985 newly diagnosed RA patients. Association with patient characteristics such as smoking and disease activity were explored. Carb and KAc reactivities by different assays were primarily seen in patients also positive for anti-citrulline reactivity. Modified vimentin (mod-Vim) peptides were used for direct comparison of different AMPA reactivities, revealing that IgA AMPA recognizing mod-Vim was mainly detected in subsets of patients with high IgG anti-Cit-Vim levels and a history of smoking. IgG reactivity to acetylation was mainly detected in a subset of patients with Cit and Carb reactivity. Anti-acetylated histone reactivity was RA-specific and associated with high anti-CCP2 IgG levels, multiple ACPA fine-specificities, and smoking status. This reactivity was also found to be present in CCP2+ RA-risk individuals without arthritis. Our data further demonstrate that IgG autoreactivity to MAA was increased in RA compared to controls with highest levels in CCP2+ RA, but was not RA-specific, and showed low correlation with other AMPA. Anti-MAA was instead associated with disease activity and was not significantly increased in CCP2+ individuals at risk of RA. Notably, RA patients could be subdivided into four different subsets based on their AMPA IgG and IgA reactivity profiles. Our serology results were complemented by screening of monoclonal antibodies derived from single B cells from RA patients for the same antigens as the RA cohort. Certain CCP2+ clones had Carb or Carb+KAc+ multireactivity, while such reactivities were not found in CCP2- clones. We conclude that autoantibodies exhibiting different patterns of ACPA fine-specificities as well as Carb and KAc reactivity are present in RA and may be derived from multireactive B-cell clones. Carb and KAc could be considered reactivities within the "Cit-umbrella" similar to ACPA fine-specificities, while MAA reactivity is distinctly different.
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Affiliation(s)
- Caroline Grönwall
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lisa Liljefors
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | | | - Aase H. Hensvold
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Monika Hansson
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Linda Mathsson-Alm
- Thermo Fisher Scientific, Immuno Diagnostics Division, Uppsala, Sweden
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Lena Israelsson
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Vijay Joshua
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Svärd
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Center for Clinical Research Dalarna, Uppsala University, Uppsala, Sweden
| | - Ragnhild Stålesen
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Philip J. Titcombe
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- The Center for Immunology and Division of Rheumatic and Autoimmune Diseases, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Johanna Steen
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Luca Piccoli
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Natalia Sherina
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Cyril Clavel
- Unité Différenciation Épithéliale et Autoimmunité Rhumatoïde, INSERM - Université de Toulouse, Toulouse, France
| | - Elisabet Svenungsson
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Iva Gunnarsson
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Saedis Saevarsdottir
- Department of Medicine Solna, Division of Clinical Epidemiology, Karolinska Institutet, Stockholm, Sweden
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Alf Kastbom
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Guy Serre
- Unité Différenciation Épithéliale et Autoimmunité Rhumatoïde, INSERM - Université de Toulouse, Toulouse, France
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm Health Region, Stockholm, Sweden
| | - Vivianne Malmström
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Johan Rönnelid
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Anca I. Catrina
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Karin Lundberg
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lars Klareskog
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
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Zhu Q, Rui K, Wang S, Tian J. Advances of Regulatory B Cells in Autoimmune Diseases. Front Immunol 2021; 12:592914. [PMID: 33936028 PMCID: PMC8082147 DOI: 10.3389/fimmu.2021.592914] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Accepted: 03/22/2021] [Indexed: 12/12/2022] Open
Abstract
With the ability to induce T cell activation and elicit humoral responses, B cells are generally considered as effectors of the immune system. However, the emergence of regulatory B cells (Bregs) has given new insight into the role of B cells in immune responses. Bregs exhibit immunosuppressive functions via diverse mechanisms, including the secretion of anti-inflammatory cytokines and direct cell contact. The balance between Bregs and effector B cells is important for the immune tolerance. In this review, we focus on recent advances in the characteristics of Bregs and their functional roles in autoimmunity.
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Affiliation(s)
- Qiugang Zhu
- Department of Immunology, Jiangsu Key Laboratory of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Ke Rui
- Department of Laboratory Medicine, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Shengjun Wang
- Department of Immunology, Jiangsu Key Laboratory of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Jie Tian
- Department of Immunology, Jiangsu Key Laboratory of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
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Heinicke F, Zhong X, Flåm ST, Breidenbach J, Leithaug M, Mæhlen MT, Lillegraven S, Aga AB, Norli ES, Mjaavatten MD, Haavardsholm EA, Zucknick M, Rayner S, Lie BA. MicroRNA Expression Differences in Blood-Derived CD19+ B Cells of Methotrexate Treated Rheumatoid Arthritis Patients. Front Immunol 2021; 12:663736. [PMID: 33897713 PMCID: PMC8062711 DOI: 10.3389/fimmu.2021.663736] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 03/17/2021] [Indexed: 12/13/2022] Open
Abstract
Rheumatoid arthritis (RA) is a complex disease with a wide range of underlying susceptibility factors. Recently, dysregulation of microRNAs (miRNAs) in RA have been reported in several immune cell types from blood. However, B cells have not been studied in detail yet. Given the autoimmune nature of RA with the presence of autoantibodies, CD19+ B cells are a key cell type in RA pathogenesis and alterations in CD19+ B cell subpopulations have been observed in patient blood. Therefore, we aimed to reveal the global miRNA repertoire and to analyze miRNA expression profile differences in homogenous RA patient phenotypes in blood-derived CD19+ B cells. Small RNA sequencing was performed on CD19+ B cells of newly diagnosed untreated RA patients (n=10), successfully methotrexate (MTX) treated RA patients in remission (MTX treated RA patients, n=18) and healthy controls (n=9). The majority of miRNAs was detected across all phenotypes. However, significant expression differences between MTX treated RA patients and controls were observed for 27 miRNAs, while no significant differences were seen between the newly diagnosed patients and controls. Several of the differentially expressed miRNAs were previously found to be dysregulated in RA including miR-223-3p, miR-486-3p and miR-23a-3p. MiRNA target enrichment analysis, using the differentially expressed miRNAs and miRNA-target interactions from miRTarBase as input, revealed enriched target genes known to play important roles in B cell activation, differentiation and B cell receptor signaling, such as STAT3, PRDM1 and PTEN. Interestingly, many of those genes showed a high degree of correlated expression in CD19+ B cells in contrast to other immune cell types. Our results suggest important regulatory functions of miRNAs in blood-derived CD19+ B cells of MTX treated RA patients and motivate for future studies investigating the interactive mechanisms between miRNA and gene targets, as well as the possible predictive power of miRNAs for RA treatment response.
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Affiliation(s)
- Fatima Heinicke
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Xiangfu Zhong
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Siri T Flåm
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Johannes Breidenbach
- Norwegian Institute for Bioeconomy Research, National Forest Inventory, Ås, Norway
| | - Magnus Leithaug
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Marthe T Mæhlen
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Siri Lillegraven
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Anna-Birgitte Aga
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Ellen S Norli
- Department of Rheumatology, Martina Hansens Hospital, Bærum, Norway
| | - Maria D Mjaavatten
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | | | - Manuela Zucknick
- Department of Biostatistics, Oslo Centre for Biostatistics and Epidemiology, University of Oslo, Oslo, Norway
| | - Simon Rayner
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Benedicte A Lie
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
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Wu M, Zhao M, Wu H, Lu Q. Immune repertoire: Revealing the "real-time" adaptive immune response in autoimmune diseases. Autoimmunity 2021; 54:61-75. [PMID: 33650440 DOI: 10.1080/08916934.2021.1887149] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The diversity of the immune repertoire (IR) enables the human immune system to distinguish multifarious antigens (Ags) that humans may encounter throughout life. At the same time, bias or abnormalities in the IR also pay a contribution to the pathogenesis of autoimmune diseases. Rapid advancements in high-throughput sequencing (HTS) technology have ushered in a new era of immune studies, revealing novel molecules and pathways that might result in autoimmunity. In the field of IR, HTS can monitor the immune response status and identify disease-specific immune repertoires. In this review, we summarize updated progress on the mechanisms of the IR and current related studies on four autoimmune diseases, particularly focusing on systemic lupus erythematosus (SLE). These autoimmune diseases can exhibit slightly or significantly skewed IRs and provide novel insights that inform our comprehending of disease pathogenesis and provide potential targets for diagnosis and treatment.
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Affiliation(s)
- Meiyu Wu
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Ming Zhao
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Haijing Wu
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Qianjin Lu
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hunan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China.,Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China
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45
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Anaparti V, Smolik I, Meng X, O'Neil L, Jantz MA, Fritzler MJ, El-Gabalawy H. Expansion of Alternative Autoantibodies Does Not Follow the Evolution of Anti-Citrullinated Protein Antibodies in Preclinical Rheumatoid Arthritis: An Analysis in At-Risk First Degree Relatives. Arthritis Rheumatol 2021; 73:740-749. [PMID: 33538122 DOI: 10.1002/art.41675] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 01/28/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Co-occurrence of autoantibodies specific for ≥1 autoimmune disease is widely prevalent in rheumatoid arthritis (RA) patients. To understand the prevalence of polyautoimmunity in preclinical RA, we performed a comprehensive autoantibody assessment in a First Nations cohort of at-risk first-degree relatives (FDR) of RA patients, a subset of whom subsequently developed RA (progressors). METHODS Venous blood was collected from all study participants (n = 50 RA patients and 64 FDR) at scheduled visits, and serum was stored at -20°C. High-sensitivity C-reactive protein level, anti-citrullinated protein antibody (ACPA) status, and autoantibody status were determined using commercially available enzyme-linked immunosorbent assay kits. Rheumatoid factor (RF) was detected by nephelometry. Antinuclear autoantibodies (ANA) were identified using Hep-2 indirect immunofluorescence assay (IFA) and classified according to international consensus nomenclature as various anti-cell (AC) patterns. RESULTS Of our study cohort, 78.9% had positive ANA reactivity (≥1:80), which was either a homogenous, fine-speckled (AC-1 and AC-4) or mixed IFA pattern. Importantly, the AC-4 and mixed ANA patterns were also observed in progressors at the time of disease onset. While all of the RA patients showed a high prevalence of arthritis-associated autoantibodies, they also had a high prevalence of extractable nuclear antigen-positive autoantibodies to other autoantigens. In FDR, we did not observe any increase in serum autoreactivity to nonarthritis autoantigens, either cross-sectionally or in samples collected longitudinally from progressors prior to RA onset. CONCLUSION While alternative autoimmunity and ANA positivity are widely prevalent in First Nations populations, including asymptomatic, seronegative FDR, expansion of alternative autoimmunity does not occur in parallel with ACPA expansion in FDR and is restricted to patients with established RA.
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Affiliation(s)
| | - Irene Smolik
- University of Manitoba, Winnipeg, Manitoba, Canada
| | - Xiaobo Meng
- University of Manitoba, Winnipeg, Manitoba, Canada
| | - Liam O'Neil
- University of Manitoba, Winnipeg, Manitoba, Canada
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Jani PK, Kubagawa H, Melchers F. A rheostat sets B-cell receptor repertoire selection to distinguish self from non-self. Curr Opin Immunol 2020; 67:42-49. [PMID: 32916645 DOI: 10.1016/j.coi.2020.07.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 07/17/2020] [Accepted: 07/20/2020] [Indexed: 12/21/2022]
Abstract
In bone marrow VDJ-recombination continuously generates original repertoires of immature B cells expressing IgM-B cell receptor (BcR), in which each cell recognizes the wide variety of self and non-self antigens with an individually different spectrum of avidities. High avidity self-reactive B cells try to edit their BcRs by secondary or multiple VL-rearrangements to JL-rearrangements. If they do not manage to change their self reactivity, they are deleted by apoptosis. Low avidity self-reactive B cells are anergized, while B cells with no avidity to self are ignored. A rheostat crosslinking antigen-binding BcRs, self antigen complexed with pentameric IgM and Fcμ-receptor monitors high, low or no binding. PI3K and PTEN are the effectors of this self antigen-sensing device. In mature B cells this rheostat continues to function in the activation of resting B cells by foreign antigens which crosslink BcR, antigen and pentameric IgM with Fcμ-receptors.
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Affiliation(s)
- Peter K Jani
- Deutsches Rheuma-Forschungszentrum, Charitéplatz 1, D-10117 Berlin, Germany.
| | - Hiromi Kubagawa
- Deutsches Rheuma-Forschungszentrum, Charitéplatz 1, D-10117 Berlin, Germany
| | - Fritz Melchers
- Deutsches Rheuma-Forschungszentrum, Charitéplatz 1, D-10117 Berlin, Germany
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