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Dunlap G, Wagner A, Meednu N, Wang R, Zhang F, Ekabe JC, Jonsson AH, Wei K, Sakaue S, Nathan A, Bykerk VP, Donlin LT, Goodman SM, Firestein GS, Boyle DL, Holers VM, Moreland LW, Tabechian D, Pitzalis C, Filer A, Raychaudhuri S, Brenner MB, Thakar J, McDavid A, Rao DA, Anolik JH. Clonal associations between lymphocyte subsets and functional states in rheumatoid arthritis synovium. Nat Commun 2024; 15:4991. [PMID: 38862501 PMCID: PMC11167034 DOI: 10.1038/s41467-024-49186-0] [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: 06/04/2023] [Accepted: 05/20/2024] [Indexed: 06/13/2024] Open
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease involving antigen-specific T and B cells. Here, we perform single-cell RNA and repertoire sequencing on paired synovial tissue and blood samples from 12 seropositive RA patients. We identify clonally expanded CD4 + T cells, including CCL5+ cells and T peripheral helper (Tph) cells, which show a prominent transcriptomic signature of recent activation and effector function. CD8 + T cells show higher oligoclonality than CD4 + T cells, with the largest synovial clones enriched in GZMK+ cells. CD8 + T cells with possibly virus-reactive TCRs are distributed across transcriptomic clusters. In the B cell compartment, NR4A1+ activated B cells, and plasma cells are enriched in the synovium and demonstrate substantial clonal expansion. We identify synovial plasma cells that share BCRs with synovial ABC, memory, and activated B cells. Receptor-ligand analysis predicted IFNG and TNFRSF members as mediators of synovial Tph-B cell interactions. Together, these results reveal clonal relationships between functionally distinct lymphocyte populations that infiltrate the synovium of patients with RA.
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Grants
- Funding for AMP RA/SLE work was provided through grants from the National Institutes of Health (UH2-AR067676, UH2-AR067677, UH2-AR067679, UH2-AR067681, UH2-AR067685, UH2-AR067688, UH2-AR067689, UH2-AR067690, UH2-AR067691, UH2-AR067694, and UM2-AR067678).
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Affiliation(s)
- Garrett Dunlap
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Aaron Wagner
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Nida Meednu
- Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center, Rochester, NY, USA
| | - Ruoqiao Wang
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, 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, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, 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
| | - Jabea Cyril Ekabe
- Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center, Rochester, NY, 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
| | - Kevin Wei
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, 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, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, 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, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Vivian P Bykerk
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Laura T Donlin
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Susan M Goodman
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Gary S Firestein
- Division of Rheumatology, Allergy and Immunology, University of California, San Diego;, La Jolla, CA, USA
| | - David L Boyle
- Division of Rheumatology, Allergy and Immunology, University of California, San Diego;, La Jolla, CA, USA
| | - V Michael Holers
- Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, 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
| | - Darren Tabechian
- Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center, Rochester, NY, USA
| | - Costantino Pitzalis
- Centre for Experimental Medicine & 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
| | - Andrew Filer
- Rheumatology Research Group, Institute for Inflammation and Ageing, University of Birmingham, NIHR Birmingham Biomedical Research Center and Clinical Research Facility, University of Birmingham, Queen Elizabeth Hospital, 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
| | - 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, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 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
| | - Juilee Thakar
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Andrew McDavid
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, 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, University of Rochester Medical Center, Rochester, NY, USA.
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
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Liu WC, Chang CM, Zhang Y, Liao HT, Chang WC. Dynamics of T-cell receptor repertoire in patients with ankylosing spondylitis after biologic therapy. Int Immunopharmacol 2024; 127:111342. [PMID: 38101220 DOI: 10.1016/j.intimp.2023.111342] [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: 09/22/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 12/17/2023]
Abstract
INTRODUCTION Ankylosing spondylitis (AS) is a chronic inflammatory autoimmune disease in which T-cell immune responses play important roles. AS has been characterized by altered T-cell receptor (TCR) repertoire profiles, which are thought to be caused by expansion of disease-related TCR clonotypes. However, how biological agents affect the TCR repertoire status and whether their therapeutic outcomes are associated with certain features or dynamic patterns of the TCR repertoire are still elusive. MATERIAL AND METHODS We collected clinical samples from AS patients pre- and post-treatment with biologics. TCR repertoire sequencing was conducted to investigate associations of TCRα and TCRβ repertoire characteristics with disease activity and inflammatory indicators/cytokines. RESULTS Our results showed that good responders were associated with an increase in the TCR repertoire diversity with higher proportions of contracted TCR clonotypes. Additionally, we further identified a positive correlation between TCR repertoire diversity and interleukin (IL)-23 levels in AS patients. A network analysis revealed that contracted AS-associated TCR clonotypes with the same complementary-determining region 3 (CDR3) motifs, which represented high probabilities of sharing TCR specificities to AS-related antigens, were dominant in good responders of AS after treatment with biologic therapies. CONCLUSIONS Our findings suggested an important connection between TCR repertoire changes and therapeutic outcomes in biologic-treated AS patients. The status and dynamics of TCR repertoire profiles are useful for assessing the prognosis of biologic treatments in AS patients.
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Affiliation(s)
- Wei-Chih Liu
- Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan
| | - Che-Mai Chang
- Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan
| | - Yanfeng Zhang
- Genetics Research Division, University of Alabama at Birmingham, USA
| | - Hsien-Tzung Liao
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
| | - Wei-Chiao Chang
- Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Integrative Research Center for Critical Care, Department of Pharmacy, Taipei Medical University-Wanfang Hospital, Taipei, Taiwan; Department of Pharmacy, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
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Anang DC, Walter HAW, Lim J, Niewold ITG, van der Weele L, Aronica E, Eftimov F, Raaphorst J, van Schaik BDC, van Kampen AHC, van der Kooi AJ, de Vries N. TCRβ clones in muscle tissue share structural features in patients with idiopathic inflammatory myopathy and are associated with disease activity. Front Immunol 2024; 14:1279055. [PMID: 38268914 PMCID: PMC10806010 DOI: 10.3389/fimmu.2023.1279055] [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: 08/17/2023] [Accepted: 12/13/2023] [Indexed: 01/26/2024] Open
Abstract
Objectives To characterize the T cell receptor (TCRβ) repertoire in peripheral blood and muscle tissues of treatment naïve patients with newly diagnosed idiopathic inflammatory myopathies (IIMs). Methods High throughput RNA sequencing of the TCRβ chain was performed in peripheral blood and muscle tissue in twenty newly-diagnosed treatment-naïve IIM patients (9 DM, 5 NM/OM, 5 IMNM and 1 ASyS) and healthy controls. Results thereof were correlated with markers of disease activity. Results Muscle tissue of IIM patients shows more expansion of TCRβ clones and decreased diversity when compared to peripheral blood of IIM as well as healthy controls (both p=0.0001). Several expanded TCRβ clones in muscle are tissue restricted and cannot be retrieved in peripheral blood. These clones have significantly longer CDR3 regions when compared to clones (also) found in circulation (p=0.0002), while their CDR3 region is more hydrophobic (p<0.01). Network analysis shows that clonal TCRβ signatures are shared between patients. Increased clonal expansion in muscle tissue is significantly correlated with increased CK levels (p=0.03), while it tends to correlate with decreased muscle strength (p=0.08). Conclusion Network analysis of clones in muscle of IIM patients shows shared clusters of sequences across patients. Muscle-restricted CDR3 TCRβ clones show specific structural features in their T cell receptor. Our results indicate that clonal TCRβ expansion in muscle tissue might be associated with disease activity. Collectively, these findings support a role for specific clonal T cell responses in muscle tissue in the pathogenesis of the IIM subtypes studied.
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Affiliation(s)
- Dornatien C. Anang
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Genome Analysis, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Hannah A. W. Walter
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Johan Lim
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Ilse T. G. Niewold
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Genome Analysis, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Linda van der Weele
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Eleonora Aronica
- Department of (Neuro) Pathology, Amsterdam Neuroscience, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Filip Eftimov
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Joost Raaphorst
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Barbera D. C. van Schaik
- Bioinformatics Laboratory, Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Antoine H. C. van Kampen
- Bioinformatics Laboratory, Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Anneke J. van der Kooi
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Niek de Vries
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
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Zha B, Pan L, Gao N. High-throughput sequencing reveals the change of TCR α chain CDR3 with Takayasu arteritis. Immun Inflamm Dis 2023; 11:e1122. [PMID: 38156386 PMCID: PMC10740332 DOI: 10.1002/iid3.1122] [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: 05/03/2023] [Revised: 11/08/2023] [Accepted: 12/05/2023] [Indexed: 12/30/2023] Open
Abstract
OBJECTIVE Takayasu arteritis (TAK) is an inflammatory disease of blood vessels, and its pathogenesis is not clear at present. In this study, we explored the immunological characteristics of T cell receptor (TCR) α-chain complementarity-determining region 3 (CDR3) in patients with TAK. METHODS Five untreated patients with TAK were collected from June 2019 to December 2019. Four healthy blood samples were matched as the control group. The blood mononuclear cells were separated, and RNA was extracted for reverse transcription to obtain complementary DNA. Then high-throughput sequencing was performed. The quality of samples was evaluated by principal component analysis. We compared the diversity and expression of TCR α-chain between TAK group and control group. R software was used for statistical analysis and drawing, and Mann-Whitney U test was used to analyze the differences between the two groups. RESULTS The results showed that there was a significant difference in the diversity of TCR α-chain CDR3 between the two groups. Three V region genes expression significantly higher in the TAK patients than in the control group. A total of 196 VJ rearrangement genes are significantly different between the two groups, of which 149 rearrangement genes in the TAK group are lower than those in the control group, and 47 rearrangement genes in the TAK group are higher than those in the control group. CONCLUSION Patients with TAK have a unique TCR α-chain CDR3 library. These characteristic genes may be a marker for early diagnosis and provide a new theoretical basis for treating TAK.
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Affiliation(s)
- Bowen Zha
- Department of EducationBeijing Anzhen Hospital, Capital Medical UniversityBeijingChina
| | - Lili Pan
- Department of RheumatologyBeijing Anzhen Hospital, Capital Medical UniversityBeijingChina
| | - Na Gao
- Department of RheumatologyBeijing Anzhen Hospital, Capital Medical UniversityBeijingChina
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Shen Y, Voigt A, Leng X, Rodriguez AA, Nguyen CQ. A current and future perspective on T cell receptor repertoire profiling. Front Genet 2023; 14:1159109. [PMID: 37408774 PMCID: PMC10319011 DOI: 10.3389/fgene.2023.1159109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 06/12/2023] [Indexed: 07/07/2023] Open
Abstract
T cell receptors (TCR) play a vital role in the immune system's ability to recognize and respond to foreign antigens, relying on the highly polymorphic rearrangement of TCR genes. The recognition of autologous peptides by adaptive immunity may lead to the development and progression of autoimmune diseases. Understanding the specific TCR involved in this process can provide insights into the autoimmune process. RNA-seq (RNA sequencing) is a valuable tool for studying TCR repertoires by providing a comprehensive and quantitative analysis of the RNA transcripts. With the development of RNA technology, transcriptomic data must provide valuable information to model and predict TCR and antigen interaction and, more importantly, identify or predict neoantigens. This review provides an overview of the application and development of bulk RNA-seq and single-cell (SC) RNA-seq to examine the TCR repertoires. Furthermore, discussed here are bioinformatic tools that can be applied to study the structural biology of peptide/TCR/MHC (major histocompatibility complex) and predict antigenic epitopes using advanced artificial intelligence tools.
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Affiliation(s)
- Yiran Shen
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Alexandria Voigt
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Xuebing Leng
- Department of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Amy A. Rodriguez
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Cuong Q. Nguyen
- Department of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
- Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL, United States
- Center of Orphaned Autoimmune Diseases, University of Florida, Gainesville, FL, United States
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Dunlap G, Wagner A, Meednu N, Zhang F, Jonsson AH, Wei K, Sakaue S, Nathan A, Bykerk VP, Donlin LT, Goodman SM, Firestein GS, Boyle DL, Holers VM, Moreland LW, Tabechian D, Pitzalis C, Filer A, Raychaudhuri S, Brenner MB, McDavid A, Rao DA, Anolik JH. Clonal associations of lymphocyte subsets and functional states revealed by single cell antigen receptor profiling of T and B cells in rheumatoid arthritis synovium. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.18.533282. [PMID: 36993527 PMCID: PMC10055242 DOI: 10.1101/2023.03.18.533282] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease initiated by antigen-specific T cells and B cells, which promote synovial inflammation through a complex set of interactions with innate immune and stromal cells. To better understand the phenotypes and clonal relationships of synovial T and B cells, we performed single-cell RNA and repertoire sequencing on paired synovial tissue and peripheral blood samples from 12 donors with seropositive RA ranging from early to chronic disease. Paired transcriptomic-repertoire analyses highlighted 3 clonally distinct CD4 T cells populations that were enriched in RA synovium: T peripheral helper (Tph) and T follicular helper (Tfh) cells, CCL5+ T cells, and T regulatory cells (Tregs). Among these cells, Tph cells showed a unique transcriptomic signature of recent T cell receptor (TCR) activation, and clonally expanded Tph cells expressed an elevated transcriptomic effector signature compared to non-expanded Tph cells. CD8 T cells showed higher oligoclonality than CD4 T cells, and the largest CD8 T cell clones in synovium were highly enriched in GZMK+ cells. TCR analyses revealed CD8 T cells with likely viral-reactive TCRs distributed across transcriptomic clusters and definitively identified MAIT cells in synovium, which showed transcriptomic features of TCR activation. Among B cells, non-naive B cells including age-associated B cells (ABC), NR4A1+ activated B cells, and plasma cells, were enriched in synovium and had higher somatic hypermutation rates compared to blood B cells. Synovial B cells demonstrated substantial clonal expansion, with ABC, memory, and activated B cells clonally linked to synovial plasma cells. Together, these results reveal clonal relationships between functionally distinct lymphocyte populations that infiltrate RA synovium.
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Affiliation(s)
- Garrett Dunlap
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital and Harvard Medical School; Boston, MA, USA
| | - Aaron Wagner
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry; Rochester, NY, USA
| | - Nida Meednu
- Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center; Rochester, NY, USA
| | - Fan Zhang
- Division of Rheumatology, Inflammation, and Immunity, 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; 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
| | - A Helena Jonsson
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital and Harvard Medical School; Boston, MA, USA
| | - Kevin Wei
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital and Harvard Medical School; Boston, MA, USA
| | - Saori Sakaue
- Division of Rheumatology, Inflammation, and Immunity, 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; 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, 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; Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School; Boston, MA, USA
- Broad Institute of MIT and Harvard; Cambridge, MA, USA
| | - Vivian P Bykerk
- Hospital for Special Surgery; New York, NY, USA
- Weill Cornell Medicine; New York, NY, USA
| | - Laura T Donlin
- Hospital for Special Surgery; New York, NY, USA
- Weill Cornell Medicine; New York, NY, USA
| | - Susan M Goodman
- Hospital for Special Surgery; New York, NY, USA
- Weill Cornell Medicine; New York, NY, USA
| | - Gary S Firestein
- Division of Rheumatology, Allergy, and Immunology, University of California, San Diego; La Jolla, CA, USA
| | - David L Boyle
- Division of Rheumatology, Allergy, and Immunology, University of California, San Diego; La Jolla, CA, USA
| | - V Michael Holers
- Division of Rheumatology, University of Colorado School of Medicine; Aurora, CO, 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
| | - Darren Tabechian
- Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center; Rochester, NY, USA
| | - Costantino Pitzalis
- Centre for Experimental Medicine & Rheumatology, William Harvey Research Institute, Queen Mary University of London; London, UK
| | - Andrew Filer
- Rheumatology Research Group, Institute for Inflammation and Ageing, University of Birmingham, NIHR Birmingham Biomedical Research Center and Clinical Research Facility, University of Birmingham, Queen Elizabeth Hospital; Birmingham, UK
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation, and Immunity, 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; 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
| | - Michael B Brenner
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital and Harvard Medical School; Boston, MA, USA
| | - Andrew McDavid
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry; Rochester, NY, USA
| | - Deepak A Rao
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital and Harvard Medical School; Boston, MA, USA
| | - Jennifer H Anolik
- Division of Allergy, Immunology and Rheumatology, University of Rochester Medical Center; Rochester, NY, USA
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Zornikova KV, Sheetikov SA, Rusinov AY, Iskhakov RN, Bogolyubova AV. Architecture of the SARS-CoV-2-specific T cell repertoire. Front Immunol 2023; 14:1070077. [PMID: 37020560 PMCID: PMC10067759 DOI: 10.3389/fimmu.2023.1070077] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 03/08/2023] [Indexed: 03/22/2023] Open
Abstract
The T cell response plays an indispensable role in the early control and successful clearance of SARS-CoV-2 infection. However, several important questions remain about the role of cellular immunity in COVID-19, including the shape and composition of disease-specific T cell repertoires across convalescent patients and vaccinated individuals, and how pre-existing T cell responses to other pathogens—in particular, common cold coronaviruses—impact susceptibility to SARS-CoV-2 infection and the subsequent course of disease. This review focuses on how the repertoire of T cell receptors (TCR) is shaped by natural infection and vaccination over time. We also summarize current knowledge regarding cross-reactive T cell responses and their protective role, and examine the implications of TCR repertoire diversity and cross-reactivity with regard to the design of vaccines that confer broader protection against SARS-CoV-2 variants.
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Affiliation(s)
- Ksenia V. Zornikova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Saveliy A. Sheetikov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Alexander Yu Rusinov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Rustam N. Iskhakov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Apollinariya V. Bogolyubova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- *Correspondence: Apollinariya V. Bogolyubova,
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8
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Yang P, He Y, Qing P, Xu W, Xie D, Cazier J, Liu X, Varnai C, Zhou Y, Zhao Y, Tang H, Yin X, Liu Y. Application of T-cell receptor repertoire as a novel monitor in dynamic tracking and assessment: A cohort-study based on RA patients. J Cell Mol Med 2022; 26:6042-6055. [PMID: 36440548 PMCID: PMC9753462 DOI: 10.1111/jcmm.17623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 09/19/2022] [Accepted: 10/21/2022] [Indexed: 11/29/2022] Open
Abstract
T-cell receptor repertoire (TCRR) sequencing has been widely applied in many fields as a novel tool. This study explored characteristics of TCRR in detail with a cohort of 598 rheumatoid arthritis (RA) patients before and after anti-rheumatic treatments. We highlighted the abnormal TCRR distribution in RA characterized by decreased diversity and increased proportion of hyperexpanded clones (HECs), which was potentially attributed to skewed usage of global V/J segments but not a few certain ones. Enriched motifs analysis in RA community demonstrated the huge heterogeneity of CDR3 sequences, so that individual factors are strongly recommended to be taken into consideration when it comes to clinical application of TCRR. Disease-modifying antirheumatic drugs (DMARDs) can regulate immune system through recovery of TCRR richness to relieve symptoms. Remarkably, sensitive gene profile and advantageous gene profile were identified in this study as new biomarkers for different DMARDs regimens.
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Affiliation(s)
- Peiqing Yang
- Department of Rheumatology, West China HospitalSichuan UniversityChengduChina
| | - Yijing He
- Precision Medicine Key Laboratory of Sichuan Province & Precision Medicine CenterWest China Hospital, Sichuan UniversityChengduChina,Laboratory of Nervous System Disease and Brain Functions, Clinical Research InstituteThe Affiliated Hospital of Southwest Medical UniversityLuzhouChina
| | - Pingying Qing
- Department of Rheumatology, West China HospitalSichuan UniversityChengduChina
| | - Wangdong Xu
- Department of Rheumatology, West China HospitalSichuan UniversityChengduChina,Department of Evidence‐Based MedicineSchool of Public Health, Southwest Medical UniversityLuzhouChina
| | - Dan Xie
- Precision Medicine Key Laboratory of Sichuan Province & Precision Medicine CenterWest China Hospital, Sichuan UniversityChengduChina
| | | | - Xiao Liu
- BGI‐Shenzhen and Shenzhen Key Laboratory of Transomics BiotechnologiesBGI‐ShenzhenShenzhenChina
| | - Csilla Varnai
- Center for Computational BiologyUniversity of BirminghamBirminghamUK
| | - Yi Zhou
- Department of Medical Affairs, West China HospitalSichuan UniversityChengduChina
| | - Yi Zhao
- Department of Rheumatology, West China HospitalSichuan UniversityChengduChina
| | - Huairong Tang
- Health Management CenterWest China Hospital of Sichuan UniversityChengduChina
| | | | - Yi Liu
- Department of Rheumatology, West China HospitalSichuan UniversityChengduChina
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9
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Garrido-Mesa J, Brown MA. T cell Repertoire Profiling and the Mechanism by which HLA-B27 Causes Ankylosing Spondylitis. Curr Rheumatol Rep 2022; 24:398-410. [PMID: 36197645 PMCID: PMC9666335 DOI: 10.1007/s11926-022-01090-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/25/2022] [Indexed: 11/25/2022]
Abstract
Purpose of Review Ankylosing spondylitis (AS) is strongly associated with the HLA-B27 gene. The canonical function of HLA-B27 is to present antigenic peptides to CD8 lymphocytes, leading to adaptive immune responses. The ‘arthritogenic peptide’ theory as to the mechanism by which HLA-B27 induces ankylosing spondylitis proposes that HLA-B27 presents peptides derived from exogenous sources such as bacteria to CD8 lymphocytes, which subsequently cross-react with antigens at the site of inflammation of the disease, causing inflammation. This review describes findings of studies in AS involving profiling of T cell expansions and discusses future research opportunities based on these findings. Recent Findings Consistent with this theory, there is an expanding body of data showing that expansion of a restricted pool of CD8 lymphocytes is found in most AS patients yet only in a small proportion of healthy HLA-B27 carriers. Summary These exciting findings strongly support the theory that AS is driven by presentation of antigenic peptides to the adaptive immune system by HLA-B27. They point to new potential approaches to identify the exogenous and endogenous antigens involved and to potential therapies for the disease.
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Affiliation(s)
- Jose Garrido-Mesa
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, England
| | - Matthew A Brown
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, England.
- Genomics England, Charterhouse Square, London, EC1M 6BQ, England.
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10
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Chawla S, Jindal AK, Arora K, Tyagi R, Dhaliwal M, Rawat A. T Cell Abnormalities in X-Linked Agammaglobulinaemia: an Updated Review. Clin Rev Allergy Immunol 2022:10.1007/s12016-022-08949-7. [PMID: 35708830 PMCID: PMC9201264 DOI: 10.1007/s12016-022-08949-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2022] [Indexed: 12/03/2022]
Abstract
X-linked agammaglobulinaemia (XLA) is a primary immunodeficiency (PID) resulting from a defect in the B cell development. It has conventionally been thought that T cells play a major role in the development and function of the B cell compartment. However, it has also been shown that B cells and T cells undergo bidirectional interactions and B cells also influence the structure and function of the T cell compartment. Patients with XLA offer a unique opportunity to understand the effect of absent B cells on the T cell compartment. In this review, we provide an update on abnormalities in the T cell compartment in patients with XLA. Studies have shown impaired memory T cells, follicular helper T cells, T regulatory cells and T helper 17 in patients with XLA. In addition, these patients have also been reported to have abnormal delayed cell-mediated immune responses and vaccine-specific T cell-mediated immune responses; defective T helper cell polarization and impaired T cell receptor diversity. At present, the clinical significance of these T cell abnormalities has not been studied in detail. However, these abnormalities may result in an increased risk of viral infections, autoimmunity, autoinflammation and possibly chronic lung disease. Abnormal response to SARS-Cov2 vaccine in patients with XLA and prolonged persistence of SARS-Cov2 virus in the respiratory tract of these patients may be related to abnormalities in the T cell compartment.
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Affiliation(s)
- Sanchi Chawla
- Allergy Immunology Unit, Department of Paediatrics, Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India
| | - Ankur Kumar Jindal
- Allergy Immunology Unit, Department of Paediatrics, Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India.
| | - Kanika Arora
- Allergy Immunology Unit, Department of Paediatrics, Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India
| | - Rahul Tyagi
- Allergy Immunology Unit, Department of Paediatrics, Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India
| | - Manpreet Dhaliwal
- Allergy Immunology Unit, Department of Paediatrics, Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India
| | - Amit Rawat
- Allergy Immunology Unit, Department of Paediatrics, Advanced Paediatrics Centre, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, 160012, India
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11
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Kim BJ, Ahn JH, Youn DH, Jeon JP. Profiling of T Cell Receptor β-Chain Complimentary Determining Regions 3 Repertoire in Subarachnoid Hemorrhage Patients Using High-Throughput Sequencing. J Korean Neurosurg Soc 2021; 64:505-513. [PMID: 34185982 PMCID: PMC8273768 DOI: 10.3340/jkns.2020.0214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/07/2020] [Indexed: 12/01/2022] Open
Abstract
Objective The adaptive immune response following subarachnoid hemorrhage (SAH) is not well understood. We evaluated and compared the T cell receptor (TCR) immune repertoire of good-grade and poor-grade SAH patients to elucidate the T cell immunology after ictus.
Methods Peripheral blood from six SAH patients was collected at two different times, admission and at the 7-day follow-up. Composition and variation of the TCR β-chain (TCRB) complimentary determining regions (CDR) 3 repertoire was examined using high-throughput sequencing; the analysis was based on sampling time and disease severity (good vs. poor-grade SAH).
Results Clonality at admission and follow-up were 0.059 (0.037–0.038) and 0.027 (0.014–0.082) (median, 25th–75th percentile). Poor-grade SAH (0.025 [0.011–0.038]) was associated with significantly lower clonality than good-grade SAH (0.095 [0.079–0.101]). Poor-grade SAH patients had higher diversity scores than good-grade SAH patients. CDR length was shorter in good-grade SAH vs. poor-grade SAH. Differences in clonotype distribution were more prominent in TCRBV gene segments than TCRBJ segments. TCRBV19-01/TCRBJ02-04 and TCRBV28-01/TCRBJ02-04 were the most increased and the most decreased V-J pairs in the 7-day follow-up compared to admission in good-grade SAH. The most increased and decreased V-J pairs in poor-grade SAH patients were TCRBV28-01/TCRBJ02-06 and TCRBV30-01/TCRBJ02-04, respectively.
Conclusion The TCRB repertoire is dynamic in nature following SAH. TCRB repertoire may facilitate our understanding of adaptive immune response according to SAH severity.
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Affiliation(s)
- Bong Jun Kim
- Institute of New Frontier Stroke Research, Hallym University College of Medicine, Chuncheon, Korea
| | - Jun Hyong Ahn
- Department of Neurosurgery, Hallym University College of Medicine, Chuncheon, Korea
| | - Dong Hyuk Youn
- Institute of New Frontier Stroke Research, Hallym University College of Medicine, Chuncheon, Korea
| | - Jin Pyeong Jeon
- Institute of New Frontier Stroke Research, Hallym University College of Medicine, Chuncheon, Korea.,Department of Neurosurgery, Hallym University College of Medicine, Chuncheon, Korea.,Genetic and Research Inc., Chuncheon, Korea
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12
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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: 1.0] [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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13
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Petro AD, Dougherty J, England BR, Sayles H, Duryee MJ, Hunter CD, Kremer JM, Pappas DA, Robinson WH, Curtis JR, Thiele GM, Mikuls TR. Associations between an expanded autoantibody profile and treatment responses to biologic therapies in patients with rheumatoid arthritis. Int Immunopharmacol 2020; 91:107260. [PMID: 33360371 DOI: 10.1016/j.intimp.2020.107260] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 11/11/2020] [Accepted: 11/26/2020] [Indexed: 11/15/2022]
Abstract
BACKGROUND Although biologics represent a major advance in rheumatoid arthritis (RA), many patients fail to achieve adequate responses to these agents. We examined whether combined positivity to three well-characterized autoantibodies predicts treatment response among RA patients initiating biologics. METHODS The study included biologic-naïve patients initiating anti-TNF treatment, biologic-exposed patients switching to rituximab or tocilizumab, and patients (biologic naïve or exposed) initiating abatacept. Rheumatoid factor (RF), anti-cyclic citrullinated peptide (CCP) antibody, and IgG antibodies to malondialdehyde-acetaldehyde (MAA) were measured using banked enrollment serum. The relationship between the number of autoantibodies positive (0-3) and treatment response (absolute improvement in 28-joint Disease Activity Score [DAS28-CRP] or improvement > 1.2) at 6 months was examined using multivariable linear and logistic regression. RESULTS Of 1,229 patients initiating biologics, 79% were women; 89% were Caucasian. The number of baseline RA-related autoantibodies positive was associated with improved treatment response in a dose-dependent fashion. Compared to patients seronegative for all autoantibodies, adjusting for covariates, those positive for all three were more than twice (OR 2.35; 95% CI 1.57-3.51) as likely to achieve DAS28 improvement > 1.2 units. Associations of autoantibody positivity with biologic treatment response were strongest for anti-CCP antibody, persisted in analyses limited to biologic naïve patients, and did not appear to differ markedly among different agents examined. CONCLUSION An expanded autoantibody profile appears to significantly predict RA treatment response to biologic treatment in a dose-dependent fashion. Incorporating these serologic profiles with additional biomarkers or other informative patient characteristics could provide an opportunity to personalize RA management.
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Affiliation(s)
- Alison D Petro
- University of Nebraska Medical Center & VA Nebraska-Western Iowa Health Care System, 986270 Nebraska Medical Center, Omaha, NE 68198-6270, United States.
| | - Joseph Dougherty
- University of Nebraska Medical Center & VA Nebraska-Western Iowa Health Care System, 986270 Nebraska Medical Center, Omaha, NE 68198-6270, United States.
| | - Bryant R England
- University of Nebraska Medical Center & VA Nebraska-Western Iowa Health Care System, 986270 Nebraska Medical Center, Omaha, NE 68198-6270, United States.
| | - Harlan Sayles
- University of Nebraska Medical Center & VA Nebraska-Western Iowa Health Care System, 986270 Nebraska Medical Center, Omaha, NE 68198-6270, United States.
| | - Michael J Duryee
- University of Nebraska Medical Center & VA Nebraska-Western Iowa Health Care System, 986270 Nebraska Medical Center, Omaha, NE 68198-6270, United States.
| | - Carlos D Hunter
- University of Nebraska Medical Center & VA Nebraska-Western Iowa Health Care System, 986270 Nebraska Medical Center, Omaha, NE 68198-6270, United States.
| | - Joel M Kremer
- Albany Medical College and The Center of Rheumatology, 43 New Scotland Ave, Albany, NY 12208, United States; Corrona LLC, 1440 Main St, Waltham, MA, 02451 and Columbia University, New York, NY 10027, United States.
| | - Dimitrios A Pappas
- Corrona LLC, 1440 Main St, Waltham, MA, 02451 and Columbia University, New York, NY 10027, United States.
| | - William H Robinson
- Stanford University School of Medicine, 269 Campus Dr, Stanford, CA 94305, United States; VA Palo Alto Health Care System, Palo Alto, CA 94304, United States.
| | - Jeffrey R Curtis
- University of Alabama at Birmingham, 1720 University Blvd, Birmingham, AL 35294, United States.
| | - Geoffrey M Thiele
- University of Nebraska Medical Center & VA Nebraska-Western Iowa Health Care System, 986270 Nebraska Medical Center, Omaha, NE 68198-6270, United States.
| | - Ted R Mikuls
- University of Nebraska Medical Center & VA Nebraska-Western Iowa Health Care System, 986270 Nebraska Medical Center, Omaha, NE 68198-6270, United States.
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14
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Servaas NH, Zaaraoui-Boutahar F, Wichers CGK, Ottria A, Chouri E, Affandi AJ, Silva-Cardoso S, van der Kroef M, Carvalheiro T, van Wijk F, Radstake TRDJ, Andeweg AC, Pandit A. Longitudinal analysis of T-cell receptor repertoires reveals persistence of antigen-driven CD4 + and CD8 + T-cell clusters in systemic sclerosis. J Autoimmun 2020; 117:102574. [PMID: 33307312 DOI: 10.1016/j.jaut.2020.102574] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/10/2020] [Accepted: 11/13/2020] [Indexed: 12/11/2022]
Abstract
The T-cell receptor (TCR) is a highly polymorphic surface receptor that allows T-cells to recognize antigenic peptides presented on the major histocompatibility complex (MHC). Changes in the TCR repertoire have been observed in several autoimmune conditions, and these changes are suggested to predispose autoimmunity. Multiple lines of evidence have implied an important role for T-cells in the pathogenesis of Systemic Sclerosis (SSc), a complex autoimmune disease. One of the major questions regarding the roles of T-cells is whether expansion and activation of T-cells observed in the diseases pathogenesis is antigen driven. To investigate the temporal TCR repertoire dynamics in SSc, we performed high-throughput sequencing of CD4+ and CD8+ TCRβ chains on longitudinal samples obtained from four SSc patients collected over a minimum of two years. Repertoire overlap analysis revealed that samples taken from the same individual over time shared a high number of TCRβ sequences, indicating a clear temporal persistence of the TCRβ repertoire in CD4+ as well as CD8+ T-cells. Moreover, the TCRβs that were found with a high frequency at one time point were also found with a high frequency at the other time points (even after almost four years), showing that frequencies of dominant TCRβs are largely consistent over time. We also show that TCRβ generation probability and observed TCR frequency are not related in SSc samples, showing that clonal expansion and persistence of TCRβs is caused by antigenic selection rather than convergent recombination. Moreover, we demonstrate that TCRβ diversity is lower in CD4+ and CD8+ T-cells from SSc patients compared with memory T-cells from healthy individuals, as SSc TCRβ repertoires are largely dominated by clonally expanded persistent TCRβ sequences. Lastly, using "Grouping of Lymphocyte Interactions by Paratope Hotspots" (GLIPH2), we identify clusters of TCRβ sequences with homologous sequences that potentially recognize the same antigens and contain TCRβs that are persist in SSc patients. In conclusion, our results show that CD4+ and CD8+ T-cells are highly persistent in SSc patients over time, and this persistence is likely a result from antigenic selection. Moreover, persistent TCRs form high similarity clusters with other (non-)persistent sequences that potentially recognize the same epitopes. These data provide evidence for an antigen driven expansion of CD4+/CD8+ T-cells in SSc.
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Affiliation(s)
- N H Servaas
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - F Zaaraoui-Boutahar
- Department of Viroscience, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - C G K Wichers
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A Ottria
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - E Chouri
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A J Affandi
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - S Silva-Cardoso
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - M van der Kroef
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - T Carvalheiro
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - F van Wijk
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - T R D J Radstake
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A C Andeweg
- Department of Viroscience, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - A Pandit
- Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
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15
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T-cell repertoire analysis and metrics of diversity and clonality. Curr Opin Biotechnol 2020; 65:284-295. [PMID: 32889231 DOI: 10.1016/j.copbio.2020.07.010] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 07/22/2020] [Indexed: 12/12/2022]
Abstract
The recent developments of high-throughput bulk and single-cell sequencing technologies accelerated the understanding of the complexity of immune repertoire dynamics combined to transcriptomics. Also, profiling of cellular repertoires in health or disease requires statistical metrics to capture clonal diversity characterized by clones frequency, repertoire richness and convergence. Here we present the common technologies of bulk and single-cell sequencing of T-cell receptors (TCRs), discuss current knowledge regarding computational tools clustering and predicting specificity of TCR repertoires based on shared structural motifs and review main indices for repertoire diversity and convergence analyses. These tools represent potential biomarkers to decipher the fitness of immune repertoires in diseased or treated patients but also the presages and promises of computational approaches to revolutionize personalized immunotherapy.
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16
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Chang CM, Liao YM, Lan GY, Chang WC, Yen Y. Using T-cell repertoire profiles as predictor in a primary mucosal melanoma. Clin Transl Med 2020; 10:e136. [PMID: 32779855 PMCID: PMC7438817 DOI: 10.1002/ctm2.136] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 07/11/2020] [Accepted: 07/11/2020] [Indexed: 02/03/2023] Open
Affiliation(s)
- Che-Mai Chang
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Yu-Ming Liao
- Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University and Academia Sinica, Taipei, Taiwan
| | - Gong-Yau Lan
- Section of Diagnostic Radiology, Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan
| | - Wei-Chiao Chang
- Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.,Integrative Therapy Center for Gastroenterologic Cancers, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Yun Yen
- Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.,Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California
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17
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Silva-Freitas ML, Corrêa-Castro G, Cota GF, Giacoia-Gripp C, Rabello A, Teixeira Dutra J, de Vasconcelos ZFM, Savino W, Da-Cruz AM, Santos-Oliveira JR. Impaired Thymic Output Can Be Related to the Low Immune Reconstitution and T Cell Repertoire Disturbances in Relapsing Visceral Leishmaniasis Associated HIV/AIDS Patients. Front Immunol 2020; 11:953. [PMID: 32508833 PMCID: PMC7251171 DOI: 10.3389/fimmu.2020.00953] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 04/23/2020] [Indexed: 12/20/2022] Open
Abstract
Background: Visceral leishmaniasis/HIV-co-infected patients (VL/HIV) accounts for around 8% of VL reported cases in Brazil. Relapses of Leishmania infection after anti-leishmanial treatment constitute a great challenge in the clinical practice because of the disease severity and drug resistance. We have shown that non-relapsing-VL/HIV (NR-) evolved with increase of CD4+ T-cell counts and reduction of activated CD4+ and CD8+ T cells after anti-leishmanial treatment. This immune profile was not observed in relapsing-VL/HIV patients (R-), indicating a more severe immunological compromising degree. Elevated activation status may be related to a deficient immune reconstitution and could help to explain the frequent relapses in VL/HIV co-infection. Our aim was to evaluate if this gain of T cells was related to changes in the peripheral TCRVβ repertoire and inflammatory status, as well as the possible thymus involvement in the replenishment of these newly formed T lymphocytes. Methods: VL/HIV patients, grouped into non-relapsing (NR- = 6) and relapsing (R- = 12) were evaluated from the active phase up to 12 months post-treatment (mpt). HIV-infected patients (non-VL) and healthy subjects (HS) were included. The TCRVβ repertoire was evaluated ex vivo by flow cytometry, whereas the plasmatic cytokine levels were assessed by Luminex assay. To evaluate the thymic output, DNA was extracted from PBMCs for TCR rearrangement excision circles (TREC) quantification by qPCR. Results: VL/HIV cases presented an altered mobilization profile (expansions or retractions) of the TCRVβ families when compared to HS independent of the follow-up phase (p < 0.05). TCRVβ repertoire on CD4+ T-cells was more homogeneous in the NR-VL/HIV cases, but heterogeneous on CD8+ T-cells, since different Vβ-families were mobilized. NR-VL/HIV had the inflammatory pattern reduced after 6 mpt. Importantly, VL/HIV patients showed number of TREC copies lower than controls during all follow-up. An increase of recent thymic emigrants was observed in NR-VL/HIV individuals at 10 mpt compared to R- patients (p < 0.01), who maintained lower TREC contents than the HIV controls. Conclusions: VL/HIV patients that maintain the thymic function, thus generating new T-cells, seem able to replenish the T lymphocyte compartment with effector cells, then enabling parasite control.
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Affiliation(s)
- Maria Luciana Silva-Freitas
- Laboratório Interdisciplinar de Pesquisas Médicas, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Gabriela Corrêa-Castro
- Laboratório Interdisciplinar de Pesquisas Médicas, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil.,Núcleo de Ciências Biomédicas Aplicadas, Instituto Federal de Educação, Ciência e Tecnologia Do Rio de Janeiro (IFRJ), Rio de Janeiro, Brazil
| | - Glaucia Fernandes Cota
- Centro de Referência em Leishmanioses, Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ), Belo Horizonte, Brazil
| | - Carmem Giacoia-Gripp
- Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Ana Rabello
- Centro de Referência em Leishmanioses, Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ), Belo Horizonte, Brazil
| | - Juliana Teixeira Dutra
- Laboratório de Alta Complexidade, Instituto Nacional de Saúde da Mulher, da Criança e Do Adolescente Fernandes Figueira (IFF), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Zilton Farias Meira de Vasconcelos
- Laboratório de Alta Complexidade, Instituto Nacional de Saúde da Mulher, da Criança e Do Adolescente Fernandes Figueira (IFF), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Wilson Savino
- Laboratory on Thymus Research, Oswaldo Cruz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil.,Rede de Pesquisas em Saúde Do Estado Do Rio de Janeiro/FAPERJ, Rio de Janeiro, Brazil
| | - Alda Maria Da-Cruz
- Laboratório Interdisciplinar de Pesquisas Médicas, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil.,Rede de Pesquisas em Saúde Do Estado Do Rio de Janeiro/FAPERJ, Rio de Janeiro, Brazil.,Disciplina de Parasitologia/DMIP, Faculdade de Ciências Médicas, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Joanna Reis Santos-Oliveira
- Laboratório Interdisciplinar de Pesquisas Médicas, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil.,Núcleo de Ciências Biomédicas Aplicadas, Instituto Federal de Educação, Ciência e Tecnologia Do Rio de Janeiro (IFRJ), Rio de Janeiro, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil
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Pawlik A, Malinowski D, Paradowska-Gorycka A, Safranow K, Dziedziejko V. VAV1 Gene Polymorphisms in Patients with Rheumatoid Arthritis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17093214. [PMID: 32380774 PMCID: PMC7246862 DOI: 10.3390/ijerph17093214] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 04/30/2020] [Accepted: 05/02/2020] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Rheumatoid arthritis (RA) is an important public health problem because this disease often causes disability. RA is a chronic, destructive autoimmune disease that leads to joint destruction and the development of extraarticular manifestations. VAV1 is an intracellular signal transduction protein that plays a significant role in signal transduction in T cells and affects T cell development, proliferation and activation. The VAV1 gene contains 27 exons and is located on chromosome 19. In this study, we examined the association between VAV1 rs2546133 and rs2617822 polymorphisms and RA. METHODS We examined 422 patients with RA and 338 healthy subjects as the control group. RESULTS Among RA patients, there was a statistically significant increase in the frequency of VAV1 rs2546133 polymorphism in T allele carriers (TT + CT versus CC, odds ratio: 1.69, 95% confidence interval 1.05-2.73, p = 0.035). There was no statistically significant difference in the distribution of the rs2617822 genotypes and alleles between RA patients and the control group. Additionally, patients who carried the VAV1 rs2546133 T and rs2617822 G allele presented an increased frequency of extraarticular manifestations: vasculitis, amyloidosis and Sjogren syndrome. CONCLUSIONS The results suggest an association between VAV1 gene rs2617822 polymorphism and RA.
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Affiliation(s)
- Andrzej Pawlik
- Department of Physiology, Pomeranian Medical University, 70-111 Szczecin, Poland
- Correspondence:
| | - Damian Malinowski
- Department of Experimental and Clinical Pharmacology, Pomeranian Medical University, 70-111 Szczecin, Poland;
| | - Agnieszka Paradowska-Gorycka
- Department of Molecular Biology, National Institute of Geriatrics, Rheumatology and Rehabilitation, 02-637 Warsaw, Poland;
| | - Krzysztof Safranow
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70-111 Szczecin, Poland; (K.S.); (V.D.)
| | - Violetta Dziedziejko
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70-111 Szczecin, Poland; (K.S.); (V.D.)
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19
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Kim BJ, Youn DH, Kim Y, Jeon JP. Characterization of the TCR β Chain CDR3 Repertoire in Subarachnoid Hemorrhage Patients with Delayed Cerebral Ischemia. Int J Mol Sci 2020; 21:ijms21093149. [PMID: 32365660 PMCID: PMC7246515 DOI: 10.3390/ijms21093149] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 04/23/2020] [Accepted: 04/27/2020] [Indexed: 12/14/2022] Open
Abstract
Little is known of the adaptive immune response to subarachnoid hemorrhage (SAH). This study was the first to investigate whether T cell receptor (TCR) immune repertoire may provide a better understanding of T cell immunology in delayed cerebral ischemia (DCI). We serially collected peripheral blood in five SAH patients with DCI. High-throughput sequencing was used to analyze the TCR β chain (TCRB) complimentary determining regions (CDR) 3 repertoire. We evaluated the compositions and variations of the repertoire between admission and the DCI period, for severe DCI and non-severe DCI patients. Clonality did not differ significantly between admission and DCI. Severe DCI patients had significantly lower clonality than non-severe DCI patients (p value = 0.019). A read frequency of 0.005% ≤ - < 0.05% dominated the clonal expansion in non-severe DCI patients. Regarding repertoire diversity, severe DCI had a higher diversity score on admission than non-severe DCI. The CDR3 lengths were similar between admission and DCI. Among 728 annotated V-J gene pairs, we found that the relative frequencies of two V-J pairs were different at the occurrence of DCI than at admission, with T cells increasing by over 15%. TCRB CDR3 repertoires may serve as biomarkers to identify severe DCI patients.
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Affiliation(s)
- Bong Jun Kim
- Institute of New Frontier Stroke Research, Hallym University College of Medicine, Chuncheon 24253, Korea; (B.J.K.); (D.H.Y.); (Y.K.)
| | - Dong Hyuk Youn
- Institute of New Frontier Stroke Research, Hallym University College of Medicine, Chuncheon 24253, Korea; (B.J.K.); (D.H.Y.); (Y.K.)
| | - Youngmi Kim
- Institute of New Frontier Stroke Research, Hallym University College of Medicine, Chuncheon 24253, Korea; (B.J.K.); (D.H.Y.); (Y.K.)
| | - Jin Pyeong Jeon
- Institute of New Frontier Stroke Research, Hallym University College of Medicine, Chuncheon 24253, Korea; (B.J.K.); (D.H.Y.); (Y.K.)
- Genetic and Research Inc., Chuncheon 24253, Korea
- Department of Neurosurgery, Hallym University College of Medicine, Chuncheon 24253, Korea
- Correspondence: ; Tel.: +82-33-240-5171; Fax: +82-33-240-9970
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20
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Huang Y, Chen K, Yu H, Chen D, Deng L, Zhang Y, Xue X, Pan X. Up-regulated microRNA-411 or declined RIPK1 inhibits proliferation and promotes apoptosis of synoviocytes in rheumatoid arthritis mice via decreased NF-κB pathway. Cell Cycle 2020; 19:666-683. [PMID: 32116107 DOI: 10.1080/15384101.2020.1717033] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Rheumatoid arthritis (RA) is a chronic and inflammatory synovitis systemic disease. Due to the unknown pathogenesis, this study was to investigate the effect of microRNA (miR)-411 on apoptosis and joint function of synoviocytes in RA mice via RIPK1-mediated NF-κB signaling pathway. The collagen-induced arthritis model mice were induced via collagen type II and Freund's adjuvant. The mice were injected with miR-411 mimics, si-RIPK1 or miR-411 mimics + oe-RIPK1 to figure out their roles in cell apoptosis and inflammation of synovial tissues. Synoviocytes were grouped as in animal experiments. Proliferation and apoptosis of synoviocytes were detected upon treatment with overexpressed miR-411 and silenced RIPK1. The expression of miR-411, RIPK1 and NF-κB in synovial tissues and synoviocytes of RA mice was detected by RT-qPCR and Western blot analysis. Poorly expressed miR-411, and highly expressed NF-κB and RIPK1 existed in synovial tissue and synoviocytes of RA. Additionally, it was found that si-RIPK1 decreased NF-κB expression, and miR-411 mimics decreased both RIPK1 and NF-κB. MiR-411 had a targeted relationship with RIPK1. si-RIPK1 or miR-411 mimics promoted cell apoptosis and strained inflammation in synovial tissues of mice with RA. Overexpressed miR-411 or silencing RIPK1 inhibited the proliferation and promoted apoptosis of synoviocytes of RA mice. Up-regulation of miR-411 or down-regulation of RIPK1 had a certain inhibitory effect on RA. This study suggests that up-regulated miR-411 or down-regulated RIPK1 promoted apoptosis and inhibited proliferation of synoviocytes of RA mice, which may be related to the inhibition of NF-κB activation.
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Affiliation(s)
- Yijiang Huang
- Department of Orthopaedic, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China.,Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, Zhejiang Province, China
| | - Kaizhe Chen
- Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, Zhejiang Province, China.,Shanghai Key Laboratory for Bone and Joint Diseases, Shanghai Institute of Orthopaedics and Traumatology, Shanghai Ruijin Hospital, Shanghai jiaotong University School of Medicine, Shanghai 200003, China
| | - Huachen Yu
- Department of Orthopaedic, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China.,Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, Zhejiang Province, China
| | - Daosen Chen
- Department of Orthopaedic, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China.,Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, Zhejiang Province, China
| | - Lianfu Deng
- Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, Zhejiang Province, China.,Shanghai Key Laboratory for Bone and Joint Diseases, Shanghai Institute of Orthopaedics and Traumatology, Shanghai Ruijin Hospital, Shanghai jiaotong University School of Medicine, Shanghai 200003, China
| | - Yu Zhang
- Department of Orthopaedic, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China.,Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, Zhejiang Province, China
| | - Xinghe Xue
- Department of Orthopaedic, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China.,Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, Zhejiang Province, China
| | - Xiaoyun Pan
- Department of Orthopaedic, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China.,Key Laboratory of Orthopaedics of Zhejiang Province, Wenzhou, 325000, Zhejiang Province, China
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