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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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Vicario R, Fragkogianni S, Weber L, Lazarov T, Hu Y, Hayashi SY, Craddock BP, Socci ND, Alberdi A, Baako A, Ay O, Ogishi M, Lopez-Rodrigo E, Kappagantula R, Viale A, Iacobuzio-Donahue CA, Zhou T, Ransohoff RM, Chesworth R, Bank NB, Abdel-Wahab O, Boisson B, Elemento O, Casanova JL, Miller WT, Geissmann F. A microglia clonal inflammatory disorder in Alzheimer's Disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.25.577216. [PMID: 38328106 PMCID: PMC10849735 DOI: 10.1101/2024.01.25.577216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Somatic genetic heterogeneity resulting from post-zygotic DNA mutations is widespread in human tissues and can cause diseases, however few studies have investigated its role in neurodegenerative processes such as Alzheimer's Disease (AD). Here we report the selective enrichment of microglia clones carrying pathogenic variants, that are not present in neuronal, glia/stromal cells, or blood, from patients with AD in comparison to age-matched controls. Notably, microglia-specific AD-associated variants preferentially target the MAPK pathway, including recurrent CBL ring-domain mutations. These variants activate ERK and drive a microglia transcriptional program characterized by a strong neuro-inflammatory response, both in vitro and in patients. Although the natural history of AD-associated microglial clones is difficult to establish in human, microglial expression of a MAPK pathway activating variant was previously shown to cause neurodegeneration in mice, suggesting that AD-associated neuroinflammatory microglial clones may contribute to the neurodegenerative process in patients.
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Affiliation(s)
- Rocio Vicario
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Stamatina Fragkogianni
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Leslie Weber
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Tomi Lazarov
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Yang Hu
- Department of Physiology and Biophysics, Institute for Compxutational Biomedicine,Weill Cornell New York, NY 10021, USA
| | - Samantha Y. Hayashi
- Department of Physiology and Biophysics, Stony Brook University School of Medicine, Stony Brook, NY, 11794-8661
| | - Barbara P. Craddock
- Department of Physiology and Biophysics, Stony Brook University School of Medicine, Stony Brook, NY, 11794-8661
| | - Nicholas D. Socci
- Marie-Josée & Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Araitz Alberdi
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Ann Baako
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Oyku Ay
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Masato Ogishi
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, 10065 NY, USA
| | - Estibaliz Lopez-Rodrigo
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Rajya Kappagantula
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Agnes Viale
- Marie-Josée & Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Christine A. Iacobuzio-Donahue
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Ting Zhou
- SKI Stem Cell Research Core, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | | | | | | | - Omar Abdel-Wahab
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
| | - Bertrand Boisson
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, 10065 NY, USA
| | - Olivier Elemento
- Department of Physiology and Biophysics, Institute for Compxutational Biomedicine,Weill Cornell New York, NY 10021, USA
| | - Jean-Laurent Casanova
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, 10065 NY, USA
| | - W. Todd Miller
- Department of Physiology and Biophysics, Stony Brook University School of Medicine, Stony Brook, NY, 11794-8661
| | - Frederic Geissmann
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA
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3
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Sponaugle A, Weideman AMK, Ranek J, Atassi G, Kuruc J, Adimora AA, Archin NM, Gay C, Kuritzkes DR, Margolis DM, Vincent BG, Stanley N, Hudgens MG, Eron JJ, Goonetilleke N. Dominant CD4 + T cell receptors remain stable throughout antiretroviral therapy-mediated immune restoration in people with HIV. Cell Rep Med 2023; 4:101268. [PMID: 37949070 PMCID: PMC10694675 DOI: 10.1016/j.xcrm.2023.101268] [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: 01/12/2023] [Revised: 06/05/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023]
Abstract
In people with HIV (PWH), the post-antiretroviral therapy (ART) window is critical for immune restoration and HIV reservoir stabilization. We employ deep immune profiling and T cell receptor (TCR) sequencing and examine proliferation to assess how ART impacts T cell homeostasis. In PWH on long-term ART, lymphocyte frequencies and phenotypes are mostly stable. By contrast, broad phenotypic changes in natural killer (NK) cells, γδ T cells, B cells, and CD4+ and CD8+ T cells are observed in the post-ART window. Whereas CD8+ T cells mostly restore, memory CD4+ T subsets and cytolytic NK cells show incomplete restoration 1.4 years post ART. Surprisingly, the hierarchies and frequencies of dominant CD4 TCR clonotypes (0.1%-11% of all CD4+ T cells) remain stable post ART, suggesting that clonal homeostasis can be independent of homeostatic processes regulating CD4+ T cell absolute number, phenotypes, and function. The slow restoration of host immunity post ART also has implications for the design of ART interruption studies.
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Affiliation(s)
- Alexis Sponaugle
- Department of Microbiology & Immunology, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Ann Marie K Weideman
- Department of Biostatistics, UNC Chapel Hill, Chapel Hill, NC, USA; Center for AIDS Research, School of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Jolene Ranek
- Computational Medicine Program, UNC Chapel Hill, Chapel Hill, NC, USA; Curriculum in Bioinformatics and Computational Biology, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Gatphan Atassi
- Lineberger Comprehensive Cancer Center, UNC Chapel Hill, Chapel Hill, NC, USA
| | - JoAnn Kuruc
- Department of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Adaora A Adimora
- Center for AIDS Research, School of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA; Department of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA; Department of Epidemiology, Gillings School of Global Public Health, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Nancie M Archin
- Department of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Cynthia Gay
- Department of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Daniel R Kuritzkes
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - David M Margolis
- Department of Microbiology & Immunology, UNC Chapel Hill, Chapel Hill, NC, USA; Department of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Benjamin G Vincent
- Department of Microbiology & Immunology, UNC Chapel Hill, Chapel Hill, NC, USA; Department of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA; Curriculum in Bioinformatics and Computational Biology, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Natalie Stanley
- Computational Medicine Program, UNC Chapel Hill, Chapel Hill, NC, USA; Department of Computer Science, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Michael G Hudgens
- Department of Biostatistics, UNC Chapel Hill, Chapel Hill, NC, USA; Center for AIDS Research, School of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Joseph J Eron
- Department of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA
| | - Nilu Goonetilleke
- Department of Microbiology & Immunology, UNC Chapel Hill, Chapel Hill, NC, USA; Department of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA.
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Sorosina M, Santoro S, Ferrè L, Mascia E, Clarelli F, Giordano A, Cannizzaro M, Lucia M, Martinelli V, Filippi M, Esposito F. Risk HLA Variants Affect the T-Cell Repertoire in Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2023; 10:10/3/e200093. [PMID: 36792371 PMCID: PMC9931183 DOI: 10.1212/nxi.0000000000200093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 12/14/2022] [Indexed: 02/17/2023]
Abstract
BACKGROUND AND OBJECTIVES The major histocompatibility complex (MHC) locus has a predominant role in the genetic predisposition to multiple sclerosis (MS), with 32 associations found to be involved. We aimed to investigate the impact of MHC MS-risk alleles on T-cell repertoire in patients with MS. METHODS We studied 161 untreated patients with relapsing-remitting MS for whom Class I and II human leukocyte antigen (HLA) alleles were inferred from whole-genome genotyping data, and T-cell receptor (TCR) CDR3 sequences were obtained through next-generation sequencing. T-cell repertoire features including diversity, public clones, and architecture were evaluated. RESULTS We identified 5 MS-risk loci associated with TCR diversity: HLA-DRB1*15:01 (7.65 × 10-3), rs9271366 (1.96 × 10-3), rs766848979 A (1.89 × 10-2), rs9277626 (2.95 × 10-2), and rs11751659 (1.92 × 10-2), with evidence of expanded clonotypes in carriers of risk alleles. Moreover, HLA-DRB1*15:01 (4.99 × 10-3), rs9271366 (6.54 × 10-3), rs1049079 C (4.37 × 10-2), AA DQΒ1 position -5 L (1.05 × 10-3), and AA DQΒ1 position 221 Q (9.39 × 10-4) showed an association with the CDR3 aminoacidic sequence architecture, suggesting an impact on the antigen recognition breadth as well. Evaluating the sharing of clones across MS-risk allele carrier individuals revealed the presence of highly shared clonotypes predicted to target viral antigens, including Epstein-Barr virus. DISCUSSION Our study supports the association between MHC-risk alleles and macrofeatures of the T-cell repertoire in the context of MS. Further studies are needed to understand the underlying molecular mechanisms.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Federica Esposito
- From the Laboratory of Neurological Complex Disorders (M.S., S.S., L.F., E.M., F.C., A.G., M.C., F.E.), Division of Neuroscience, Institute of Experimental Neurology (INSPE), IRCCS San Raffaele Scientific Institute; Neurology and Neurorehabilitation Unit (L.F., A.G., M.C., M.L., V.M., M.F., F.E.), IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University (M.F.); Neurophysiology Unit (M.F.), IRCCS San Raffaele Scientific Institute; and Neuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology (INSPE) (P.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy.
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5
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Zou J, Li B, Li D, Bao HF, She CH, Ye JF, Cai JF, Guan JL. Comprehensive analysis of T-cell receptor repertoires reveals antigen-driven T-cell clusters in patients with Behçet's syndrome. Eur J Immunol 2023; 53:e2250181. [PMID: 36747316 DOI: 10.1002/eji.202250181] [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: 09/13/2022] [Revised: 01/23/2023] [Accepted: 01/31/2023] [Indexed: 02/08/2023]
Abstract
T lymphocytes are the major components of adaptive immunity in Behçet's syndrome (BS) pathology. However, the precise mechanism of T-cell-induced inflammatory condition remains to be determined. We applied bulk sequencing of the T-cell receptor (TCR) β chain in peripheral blood samples from 45 patients with BS and 10 healthy donors as controls. TCR repertoires in BS patients displayed more clonality and less diversity than in healthy donors. Male patients exhibited lower diversity metrics of TCR and had a larger proportion in the top 10 clones than females (p = 0.016). There were no TCR clonality differences in other clinical features, such as age, disease duration, organ involvement, disease severity, and activity. By "Grouping of Lymphocyte Interactions by Paratope Hotspots" (GLIPH2) for antigen prediction, we found distinct 2477 clusters of TCR-β sequences that potentially recognize similar antigens shared between BS patients. We observed clonal T-cell expansion in BS patients. Sexual differences in TCR clonal expansion and public TCR groups deserve further study to reveal the underline T-cell-mediated immunity in BS.
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Affiliation(s)
- Jun Zou
- Division of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Bin Li
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University, Shanghai, China
| | - Dan Li
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University, Shanghai, China
| | - Hua-Fang Bao
- Division of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Chun-Hui She
- Division of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Jing-Fen Ye
- Division of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Jian-Fei Cai
- Division of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Jian-Long Guan
- Division of Rheumatology and Immunology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
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AIRR Community Guide to Planning and Performing AIRR-Seq Experiments. Methods Mol Biol 2022; 2453:261-278. [PMID: 35622331 PMCID: PMC9761540 DOI: 10.1007/978-1-0716-2115-8_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The development of high-throughput sequencing of adaptive immune receptor repertoires (AIRR-seq of IG and TR rearrangements) has provided a new frontier for in-depth analysis of the immune system. The last decade has witnessed an explosion in protocols, experimental methodologies, and computational tools. In this chapter, we discuss the major considerations in planning a successful AIRR-seq experiment together with basic strategies for controlling and evaluating the outcome of the experiment. Members of the AIRR Community have authored several chapters in this edition, which cover step-by-step instructions to successfully conduct, analyze, and share an AIRR-seq project.
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7
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Raghavan SS, Wang JY, Gru AA, Marqueling AL, Teng JMC, Brown RA, Novoa RA, Kim Y, Zehnder J, Zhang BM, Rieger KE. Next-generation sequencing confirms T-cell clonality in a subset of pediatric pityriasis lichenoides. J Cutan Pathol 2021; 49:252-260. [PMID: 34614220 DOI: 10.1111/cup.14143] [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: 05/20/2021] [Revised: 08/10/2021] [Accepted: 09/28/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Pityriasis lichenoides (PL) is a papulosquamous disease that affects both adults and children. Previous studies have shown a subset of this entity to have clonal T-cell populations via PCR-based assays. In this study, we sought to implement next-generation sequencing (NGS) as a more sensitive and specific test to examine for T-cell clonality within the pediatric population. METHODS We identified 18 biopsy specimens from 12 pediatric patients with clinical and histopathologic findings compatible with PL. Patient demographics, clinical features, management, and histopathologic findings were reviewed. All specimens were analyzed for clonality with NGS of T-cell receptor beta (TRB) and gamma (TRG) genes. RESULTS Of the 12 patients, 9 (75%) had complete resolution of lesions at the time of data collection (mean follow-up 31 months). The remaining three patients significantly improved with methotrexate (with or without acitretin). Interestingly, 7 of 12 patients (58%) and 9 of 17 biopsy specimens (53%) showed evidence of T-cell clonality. Two patients showed matching TRB clones from different anatomic sites. CONCLUSIONS T-cell clonality is a common finding in PL, probably representing a "reactive clonality" rather than a true lymphoproliferative disorder. Clonality alone cannot be used as a means to distinguish PL from lymphomatoid papulosis or cutaneous lymphoma.
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Affiliation(s)
- Shyam S Raghavan
- Department of Pathology, University of Virginia Medical Center, Charlottesville, Virginia, USA
| | - Jennifer Y Wang
- Department of Dermatology, Stanford University Medical Center, Stanford, California, USA
| | - Alejandro A Gru
- Department of Pathology, University of Virginia Medical Center, Charlottesville, Virginia, USA
| | - Ann L Marqueling
- Department of Dermatology, Stanford University Medical Center, Stanford, California, USA
| | - Joyce M C Teng
- Department of Dermatology, Stanford University Medical Center, Stanford, California, USA
| | - Ryanne A Brown
- Department of Dermatology, Stanford University Medical Center, Stanford, California, USA.,Department of Pathology, Stanford University Medical Center, Stanford, California, USA
| | - Roberto A Novoa
- Department of Dermatology, Stanford University Medical Center, Stanford, California, USA.,Department of Pathology, Stanford University Medical Center, Stanford, California, USA
| | - Youn Kim
- Department of Dermatology, Stanford University Medical Center, Stanford, California, USA
| | - James Zehnder
- Department of Pathology, Stanford University Medical Center, Stanford, California, USA
| | - Bing Melody Zhang
- Department of Pathology, Stanford University Medical Center, Stanford, California, USA
| | - Kerri E Rieger
- Department of Dermatology, Stanford University Medical Center, Stanford, California, USA.,Department of Pathology, Stanford University Medical Center, Stanford, California, USA
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8
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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: 0.7] [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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9
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Wajda A, Sivitskaya L, Paradowska-Gorycka A. Application of NGS Technology in Understanding the Pathology of Autoimmune Diseases. J Clin Med 2021; 10:3334. [PMID: 34362117 PMCID: PMC8348854 DOI: 10.3390/jcm10153334] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 07/26/2021] [Indexed: 11/16/2022] Open
Abstract
NGS technologies have transformed clinical diagnostics and broadly used from neonatal emergencies to adult conditions where the diagnosis cannot be made based on clinical symptoms. Autoimmune diseases reveal complicate molecular background and traditional methods could not fully capture them. Certainly, NGS technologies meet the needs of modern exploratory research, diagnostic and pharmacotherapy. Therefore, the main purpose of this review was to briefly present the application of NGS technology used in recent years in the understanding of autoimmune diseases paying particular attention to autoimmune connective tissue diseases. The main issues are presented in four parts: (a) panels, whole-genome and -exome sequencing (WGS and WES) in diagnostic, (b) Human leukocyte antigens (HLA) as a diagnostic tool, (c) RNAseq, (d) microRNA and (f) microbiome. Although all these areas of research are extensive, it seems that epigenetic impact on the development of systemic autoimmune diseases will set trends for future studies on this area.
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Affiliation(s)
- Anna Wajda
- Department of Molecular Biology, National Institute of Geriatrics, Rheumatology and Rehabilitation, 02-637 Warsaw, Poland
| | - Larysa Sivitskaya
- Institute of Genetics and Cytology, National Academy of Sciences of Belarus, 220072 Minsk, Belarus
| | - Agnieszka Paradowska-Gorycka
- Department of Molecular Biology, National Institute of Geriatrics, Rheumatology and Rehabilitation, 02-637 Warsaw, Poland
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10
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Song R, Jia X, Zhao J, Du P, Zhang JA. T cell receptor revision and immune repertoire changes in autoimmune diseases. Int Rev Immunol 2021; 41:517-533. [PMID: 34243694 DOI: 10.1080/08830185.2021.1929954] [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: 10/20/2022]
Abstract
Autoimmune disease (AID) is a condition in which the immune system breaks down and starts to attack the body. Some common AIDs include systemic lupus erythematosus, rheumatoid arthritis, type 1 diabetes mellitus and so forth. The changes in T-cell receptor (TCR) repertoire have been found in several autoimmune diseases, and may be responsible for the breakdown of peripheral immune tolerance. In this review, we discussed the processes of TCR revision in peripheral immune environment, the changes in TCR repertoire that occurred in various AIDs, and the specifically expanded T cell clones. We hope our discussion can provide insights for the future studies, helping with the discovery of disease biomarkers and expanding the strategies of immune-targeted therapy. HighlightsRestricted TCR repertoire and biased TCR-usage are found in a variety of AIDs.TCR repertoire shows tissue specificity in a variety of AID diseases.The relationship between TCR repertoire diversity and disease activity is still controversial in AIDs.Dominant TCR clonotypes may help to discover new disease biomarkers and expand the strategies of immune-targeted therapy.
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Affiliation(s)
- Ronghua Song
- Department of Endocrinology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Xi Jia
- Department of Endocrinology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Jing Zhao
- Department of Endocrinology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Peng Du
- Department of Endocrinology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Jin-An Zhang
- Department of Endocrinology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
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11
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Pre-transplant T-cell Clonality: An Observational Study of a Biomarker for Prediction of Sepsis in Liver Transplant Recipients. Ann Surg 2021; 274:411-418. [PMID: 34132702 DOI: 10.1097/sla.0000000000004998] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE This study investigated the ability of pre-transplant T-cell clonality to predict sepsis after liver transplant (LT). SUMMARY BACKGROUND DATA Sepsis is a leading cause of death in LT recipients. Currently, no biomarkers predict sepsis before clinical symptom manifestation. METHODS Between December 2013 and March 2018, our institution performed 478 LTs. After exclusions (eg, patients with marginal donor livers, autoimmune disorders, nonabdominal multi-organ, and liver retransplantations), 180 consecutive LT were enrolled. T-cell characterization was assessed within 48 hours before LT (immunoSEQ Assay, Adaptive Biotechnologies, Seattle, WA). Sepsis-2 and Sepsis-3 cases, defined by presence of acute infection plus ≥2 SIRS criteria, or clinical documentation of sepsis, were identified by chart review. Receiver-operating characteristic analyses determined optimal T-cell repertoire clonality for predicting post-LT sepsis. Kaplan-Meier and Cox proportional hazard modeling assessed outcome-associated prognostic variables. RESULTS Patients with baseline T-cell repertoire clonality ≥0.072 were 3.82 (1.25, 11.40; P = 0.02), and 2.40 (1.00, 5.75; P = 0.049) times more likely to develop sepsis 3 and 12 months post-LT, respectively, when compared to recipients with lower (<0.072) clonality. T-cell repertoire clonality was the only predictor of sepsis 3 months post-LT in multivariate analysis (C-Statistic, 0.75). Adequate treatment resulted in equivalent survival rates between both groups: (93.4% vs 96.2%, respectively, P = 0.41) at 12 months post-LT. CONCLUSIONS T-cell repertoire clonality is a novel biomarker predictor of sepsis before development of clinical symptoms. Early sepsis monitoring and management may reduce post-LT mortality. These findings have implications for developing sepsis-prevention protocols in transplantation and potentially other populations.
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Vieyra-Garcia PA, Cerroni L, Clark RA, Wolf P. Lupus erythematosus tumidus in a patient with mycosis fungoides stage IB after complete response to PUVA. J Eur Acad Dermatol Venereol 2021; 35:e758-e760. [PMID: 34060127 DOI: 10.1111/jdv.17425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/19/2021] [Accepted: 05/20/2021] [Indexed: 11/26/2022]
Affiliation(s)
- P A Vieyra-Garcia
- Department of Dermatology and Venereology, Medical University of Graz, Graz, Austria
| | - L Cerroni
- Department of Dermatology and Venereology, Medical University of Graz, Graz, Austria
| | - R A Clark
- Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - P Wolf
- Department of Dermatology and Venereology, Medical University of Graz, Graz, Austria
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13
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Lin D, Wang D, Li P, Yang X, Liu W, Huang L, Zhang Z, Zhang Y, Zhang W, Zhang N, Zhang M, Huang X. Dynamic analysis of peripheral blood TCR β-chain CDR3 repertoire in occupational medicamentosa-like dermatitis due to trichloroethylene. Sci Rep 2021; 11:9971. [PMID: 33976265 PMCID: PMC8113444 DOI: 10.1038/s41598-021-89431-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 04/27/2021] [Indexed: 11/23/2022] Open
Abstract
Previously, we had cross-sectionally explored the characteristics of T cell receptor (TCR) repertoires from occupational medicamentosa-like dermatitis due to trichloroethylene (OMDT) patients, now we further analyzed the dynamic features of OMDT TCR repertoires. Peripheral blood TCR β-chain complementarity-determining region 3 (CDR3) genes were detected with the high throughput sequencing in 24 OMDT cases in their acute, chronic and recovery stages, respectively, and in 24 trichloroethylene-exposed healthy controls. The TCR repertoire diversity, TRBV/TRBD/TRBJ gene usage and combination, frequencies of CDR3 nucleotide (nt) and amino acid (aa) sequences in the cases in different stages and in the controls were analyzed. TRBV6-4 and TRBV7-9 frequencies significantly differed between the cases and controls (both P < 6.1 × 10-4). TRBV6-4 combination with TRBJ2-1, TRBJ2-2, TRBJ2-3, and TRBJ2-6, and TRBV7-9 combination with TRBJ2-1 were associated with the stage by OMDT severity (all P < 0.001). Ten CDR3-nt and 7 CDR3-aa sequences in TRBV7-9-TRBJ2-1 combination and 1 CDR3-nt and 1 CDR3-aa sequences in TRBV6-4-TRBJ2-1 combination were identified as associated with the severity of OMDT (all P < 0.001). We revealed further how TCR repertoires vary with the severity in the development of OMDT, and severity-related TCRs may provide important therapeutic targets for OMDT in clinical practice.
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Affiliation(s)
- Dafeng Lin
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China.
| | - Dianpeng Wang
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China
| | - Peimao Li
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China
| | - Xiangli Yang
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China
| | - Wei Liu
- Key Laboratory of Modern Toxicology of Shenzhen, Medical Key Laboratory of Guangdong Province, Medical Key Laboratory of Health Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Lu Huang
- Fuyong Prevention and Health Care Center, Bao'an District, Shenzhen, 518103, China
| | - Zhimin Zhang
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China
| | - Yanfang Zhang
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China
| | - Wen Zhang
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China
| | - Naixing Zhang
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China.
| | - Ming Zhang
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China
| | - Xianqing Huang
- Medical Laboratory, Shenzhen Prevention and Treatment Center for Occupational Diseases, 2019 Buxin Rd., Luohu district, Shenzhen, 518020, China
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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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15
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Identifying the Immunological Gene Signatures of Immune Cell Subtypes. BIOMED RESEARCH INTERNATIONAL 2021. [DOI: 10.1155/2021/6639698] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The immune system is a complicated defensive system that comprises multiple functional cells and molecules acting against endogenous and exogenous pathogenic factors. Identifying immune cell subtypes and recognizing their unique immunological functions are difficult because of the complicated cellular components and immunological functions of the immune system. With the development of transcriptomics and high-throughput sequencing, the gene expression profiling of immune cells can provide a new strategy to explore the immune cell subtyping. On the basis of the new profiling data of mouse immune cell gene expression from the Immunological Genome Project (ImmGen), a novel computational pipeline was applied to identify different immune cell subtypes, including αβ T cells, B cells, γδ T cells, and innate lymphocytes. First, the profiling data was analyzed by a powerful feature selection method, Monte-Carlo Feature Selection, resulting in a feature list and some informative features. For the list, the two-stage incremental feature selection method, incorporating random forest as the classification algorithm, was applied to extract essential gene signatures and build an efficient classifier. On the other hand, a rule learning scheme was applied on the informative features to construct quantitative expression rules. A group of gene signatures was found as qualitatively related to the biological processes of four immune cell subtypes. The quantitative expression rules can efficiently cluster immune cells. This work provides a novel computational tool for immune cell quantitative subtyping and biomarker recognition.
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Foth S, Völkel S, Bauersachs D, Zemlin M, Skevaki C. T Cell Repertoire During Ontogeny and Characteristics in Inflammatory Disorders in Adults and Childhood. Front Immunol 2021; 11:611573. [PMID: 33633732 PMCID: PMC7899981 DOI: 10.3389/fimmu.2020.611573] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 12/22/2020] [Indexed: 12/17/2022] Open
Abstract
Since the first day of life, a newborn has to deal with various pathogens from the environment. While passive immune protection is provided by diaplacental maternal antibodies, the development of cellular immunity is ongoing. A mature immune system should be able not only to defend against pathogens, but should also be able to differentiate between self- and non-self-antigens. Dysregulation in the development of cellular immunity can lead to severe disorders like immunodeficiency, autoimmunity and chronic inflammation. In this review, we explain the role of T cell immunity in antigen detection and summarize the characteristics of a mature TCR repertoire as well as the current state of knowledge about the development of the TCR repertoire in ontogenesis. In addition, methods of assessments are outlined, with a focus on the advantages and disadvantages of advanced methods such as next generation sequencing. Subsequently, we provide an overview of various disorders occuring in early childhood like immunodeficiencies, autoimmunity, allergic diseases and chronic infections and outline known changes in the TCR repertoire. Finally, we summarize the latest findings and discuss current research gaps as well as potential future developments.
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Affiliation(s)
- Svenja Foth
- German Center for Lung Research (DZL), Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, Marburg, Germany
| | - Sara Völkel
- German Center for Lung Research (DZL), Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, Marburg, Germany
| | - Daniel Bauersachs
- German Center for Lung Research (DZL), Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, Marburg, Germany
| | - Michael Zemlin
- Department of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany
| | - Chrysanthi Skevaki
- German Center for Lung Research (DZL), Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, Marburg, Germany
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Hayashi F, Isobe N, Glanville J, Matsushita T, Maimaitijiang G, Fukumoto S, Watanabe M, Masaki K, Kira JI. A new clustering method identifies multiple sclerosis-specific T-cell receptors. Ann Clin Transl Neurol 2021; 8:163-176. [PMID: 33400858 PMCID: PMC7818280 DOI: 10.1002/acn3.51264] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 11/06/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To characterize T-cell receptors (TCRs) and identify target epitopes in multiple sclerosis (MS). METHODS Peripheral blood mononuclear cells were obtained from 39 MS patients and 19 healthy controls (HCs). TCR repertoires for α/β/δ/γ chains, TCR diversity, and V/J usage were determined by next-generation sequencing. TCR β chain repertoires were compared with affectation status using a novel clustering method, Grouping of Lymphocyte Interactions by Paratope Hotspots (GLIPH). Cytomegalovirus (CMV)-IgG was measured in an additional 113 MS patients and 93 HCs. Regulatory T cells (Tregs) were measured by flow cytometry. RESULTS TCR diversity for all four chains decreased with age. TCRα and TCRβ diversity was higher in MS patients (P = 0.0015 and 0.024, respectively), even after age correction. TRAJ56 and TRBV4-3 were more prevalent in MS patients than in HCs (pcorr = 0.027 and 0.040, respectively). GLIPH consolidated 208,674 TCR clones from MS patients into 1,294 clusters, among which two candidate clusters were identified. The TRBV4-3 cluster was shared by HLA-DRB1*04:05-positive patients (87.5%) and predicted to recognize CMV peptides (CMV-TCR). MS Severity Score (MSSS) was lower in patients with CMV-TCR than in those without (P = 0.037). CMV-IgG-positivity was associated with lower MSSS in HLA-DRB1*04:05 carriers (P = 0.0053). HLA-DRB1*04:05-positive individuals demonstrated higher CMV-IgG titers than HLA-DRB1*04:05-negative individuals (P = 0.017). CMV-IgG-positive patients had more Tregs than CMV-IgG-negative patients (P = 0.054). INTERPRETATION High TCRα/TCRβ diversity, regardless of age, is characteristic of MS. Association of a CMV-recognizing TCR with mild disability indicates CMV's protective role in HLA-DRB1*04:05-positive MS.
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Affiliation(s)
- Fumie Hayashi
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Noriko Isobe
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jacob Glanville
- Computational and Systems Immunology Program, Stanford University School of Medicine, Stanford, California, USA
| | - Takuya Matsushita
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Shoko Fukumoto
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mitsuru Watanabe
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Katsuhisa Masaki
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun-Ichi Kira
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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18
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Goda S, Hayakawa S, Karakawa S, Okada S, Kawaguchi H, Kobayashi M. Possible involvement of regulatory T cell abnormalities and variational usage of TCR repertoire in children with autoimmune neutropenia. Clin Exp Immunol 2020; 204:1-13. [PMID: 33289074 DOI: 10.1111/cei.13559] [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: 10/11/2020] [Revised: 11/21/2020] [Accepted: 11/23/2020] [Indexed: 01/16/2023] Open
Abstract
Autoimmune neutropenia (AIN) in childhood is characterized by chronic neutropenia and positivity for anti-neutrophil antibodies, resulting in the excessive destruction of neutrophils. In this study, we investigated the involvement of regulatory T cells (Tregs ) in the pathogenesis of AIN in childhood. Tregs have been classified into three subpopulations based on the expressions of CD45RA and forkhead box protein 3 (FoxP3): resting Tregs , activated Tregs and non-suppressive Tregs . The frequency of activated Tregs (CD4+ CD25+ FoxP3high CD45RA- T cells) as well as that of total Tregs (CD4+ CD25+ FoxP3+ T cells) in peripheral blood was significantly decreased in patients with AIN. Analysis of the T cell receptor (TCR)-Vβ repertoire of CD4+ T cells revealed skewed usages in patients with AIN compared with that observed in age-matched control subjects. Regarding T cell subsets, the use of four of 24 TCR-Vβ families in Tregs and one in conventional T cells were increased in patients with AIN. The number of patients with AIN who showed skewed usages of TCR-Vβ family in conventional and Tregs was significantly higher than that reported in control subjects. When the preference between Tregs and conventional T cells in each TCR-Vβ family was individually compared, different use was prominently observed in the TCR-Vβ 9 family in patients with AIN. These results suggest that the quantitative abnormalities of Tregs and the skew of the TCR-Vβ repertoire in CD4+ T cells, including Tregs and conventional T cells, may be related to autoantibody production through a human neutrophil antigen-reactive T cell clone.
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Affiliation(s)
- S Goda
- Department of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - S Hayakawa
- Department of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - S Karakawa
- Department of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - S Okada
- Department of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - H Kawaguchi
- Department of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | - M Kobayashi
- Department of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
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19
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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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Abstract
T cells are an integral component of the adaptive immune response via the recognition of peptides by the cell surface-expressed T cell receptor (TCR). Rearrangement of the TCR genes results in a highly polymorphic repertoire on the T cells within a given individual. Although the diverse repertoire is beneficial for immune responses to foreign pathogens, recognition of self-peptides by T cells can contribute to the development of autoimmune disorders. Increasing evidence supports a pathogenic role for T cells in autoimmune pathology, and it is of interest to determine the TCR repertoires involved in autoimmune disease development. In this review, we summarize methodologies and advancements in the TCR sequencing field and discuss recent studies focused on TCR sequencing in a variety of autoimmune conditions. The rapidly evolving methodology of TCR sequencing has the potential to allow for a better understanding of autoimmune disease pathogenesis, identify disease-specific biomarkers, and aid in developing therapies to prevent and treat a number of these disorders.
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Affiliation(s)
- Angela M Mitchell
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA, 80045
| | - Aaron W Michels
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA, 80045
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21
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Poran A, Scherer J, Bushway ME, Besada R, Balogh KN, Wanamaker A, Williams RG, Prabhakara J, Ott PA, Hu-Lieskovan S, Khondker ZS, Gaynor RB, Rooney MS, Srinivasan L. Combined TCR Repertoire Profiles and Blood Cell Phenotypes Predict Melanoma Patient Response to Personalized Neoantigen Therapy plus Anti-PD-1. CELL REPORTS MEDICINE 2020; 1:100141. [PMID: 33294862 PMCID: PMC7691446 DOI: 10.1016/j.xcrm.2020.100141] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 09/02/2020] [Accepted: 10/22/2020] [Indexed: 01/15/2023]
Abstract
T cells use highly diverse receptors (TCRs) to identify tumor cells presenting neoantigens arising from genetic mutations and establish anti-tumor activity. Immunotherapy harnessing neoantigen-specific T cells to target tumors has emerged as a promising clinical approach. To assess whether a comprehensive peripheral mononuclear blood cell analysis predicts responses to a personalized neoantigen cancer vaccine combined with anti-PD-1 therapy, we characterize the TCR repertoires and T and B cell frequencies in 21 patients with metastatic melanoma who received this regimen. TCR-α/β-chain sequencing reveals that prolonged progression-free survival (PFS) is strongly associated with increased clonal baseline TCR repertoires and longitudinal repertoire stability. Furthermore, the frequencies of antigen-experienced T and B cells in the peripheral blood correlate with repertoire characteristics. Analysis of these baseline immune features enables prediction of PFS following treatment. This method offers a pragmatic clinical approach to assess patients’ immune state and to direct therapeutic decision making. Pre-treatment blood-based factors predict response to immunotherapy TCR repertoire clonality and stability associate with improved clinical outcomes Baseline T and B cell memory phenotypes associate with improved clinical outcomes Combined baseline TCR repertoire and PBMC phenotypes predict immunotherapy response
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Affiliation(s)
- Asaf Poran
- Neon Therapeutics/BioNTech US, Cambridge, MA, USA
- Corresponding author
| | | | | | - Rana Besada
- Neon Therapeutics/BioNTech US, Cambridge, MA, USA
| | | | | | | | | | - Patrick A. Ott
- Dana Farber Cancer Institute, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
| | - Siwen Hu-Lieskovan
- Department of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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22
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Kury P, Führer M, Fuchs S, Lorenz MR, Giorgetti OB, Bakhtiar S, Frei AP, Fisch P, Boehm T, Schwarz K, Speckmann C, Ehl S. Long-term robustness of a T-cell system emerging from somatic rescue of a genetic block in T-cell development. EBioMedicine 2020; 59:102961. [PMID: 32841837 PMCID: PMC7452388 DOI: 10.1016/j.ebiom.2020.102961] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGOUND The potential of a single progenitor cell to establish and maintain long-term protective T-cell immunity in humans is unknown. For genetic disorders disabling T-cell immunity, somatic reversion was shown to support limited T-cell development attenuating the clinical phenotype. However, the cases reported so far deteriorated over time leaving unanswered the important question of long-term activity of revertant precursors and the robustness of the resulting T-cell system. METHODS We applied TCRβ-CDR3 sequencing and mass cytometry on serial samples of a now 18 year-old SCIDX1 patient with somatic reversion to analyse the longitudinal diversification and stability of a T-cell system emerging from somatic gene rescue. FINDINGS We detected close to 105 individual CDR3β sequences in the patient. Blood samples of equal size contained about 10-fold fewer unique CDR3β sequences compared to healthy donors, indicating a surprisingly broad repertoire. Despite dramatic expansions and contractions of individual clonotypes representing up to 30% of the repertoire, stable diversity indices revealed that these transient clonal distortions did not cause long-term repertoire imbalance. Phenotypically, the T-cell system did not show evidence for progressive exhaustion. Combined with immunoglobulin substitution, the limited T-cell system in this patient supported an unremarkable clinical course over 18 years. INTERPRETATION Genetic correction in the appropriate cell type, in our patient most likely in a T-cell biased self-renewing hematopoietic progenitor, can yield a diverse T-cell system that provides long-term repertoire stability, does not show evidence for progressive exhaustion and is capable of providing protective and regulated T-cell immunity for at least two decades. FUNDING DFG EH 145/9-1, DFG SCHW 432/4-1 and the German Research Foundation under Germany's Excellence Strategy-EXC-2189-Project ID: 390939984.
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Affiliation(s)
- Patrick Kury
- Institute for Immunodeficiency, Center for Chronic Immunodeficiency (CCI), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Straße 115, 79106 Freiburg, Germany; Faculty of Biology, University of Freiburg, Schaenzlestrasse 1, D-79104 Freiburg, Germany
| | - Marita Führer
- Institute for Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Service, Baden-Wuerttemberg - Hessen, Ulm, Germany
| | - Sebastian Fuchs
- Roche Pharma Research and Early Development, Immunology, Infectious Diseases and Ophthalmology (I2O) Discovery and Translational Area, Roche Innovation Center Basel, Basel, Switzerland
| | - Myriam R Lorenz
- Institute for Transfusion Medicine, University of Ulm, Ulm, Germany
| | - Orlando Bruno Giorgetti
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics Freiburg, Freiburg, Germany
| | - Shahrzad Bakhtiar
- Division for Pediatric Stem-Cell Transplantation, Immunology and Intensive Medicine, University Hospital Frankfurt, Frankfurt/Main, Germany
| | - Andreas P Frei
- Roche Pharma Research and Early Development, Immunology, Infectious Diseases and Ophthalmology (I2O) Discovery and Translational Area, Roche Innovation Center Basel, Basel, Switzerland
| | - Paul Fisch
- Department of Pathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Thomas Boehm
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics Freiburg, Freiburg, Germany
| | - Klaus Schwarz
- Institute for Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Service, Baden-Wuerttemberg - Hessen, Ulm, Germany; Institute for Transfusion Medicine, University of Ulm, Ulm, Germany
| | - Carsten Speckmann
- Institute for Immunodeficiency, Center for Chronic Immunodeficiency (CCI), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Straße 115, 79106 Freiburg, Germany; Center for Pediatrics, Department of Pediatric Hematology and Oncology, University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stephan Ehl
- Institute for Immunodeficiency, Center for Chronic Immunodeficiency (CCI), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Straße 115, 79106 Freiburg, Germany; CIBBS -Centre for Integrative Biological Signaling Studies, University of Freiburg, Freiburg, Germany.
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23
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Ye X, Wang Z, Ye Q, Zhang J, Huang P, Song J, Li Y, Zhang H, Song F, Xuan Z, Wang K. High-Throughput Sequencing-Based Analysis of T Cell Repertoire in Lupus Nephritis. Front Immunol 2020; 11:1618. [PMID: 32849548 PMCID: PMC7423971 DOI: 10.3389/fimmu.2020.01618] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 06/17/2020] [Indexed: 12/22/2022] Open
Abstract
T cell receptor (TCR)-mediated immune functions are closely related to autoimmune diseases, such as systemic lupus erythematosus (SLE). However, technical challenges used to limit the accurate profiling of TCR diversity in SLE and the characteristics of SLE patients remain largely unknown. In this study, we collected peripheral blood samples from 10 SLE patients with lupus nephritis (LN) who were confirmed by renal biopsy, as well as 10 healthy controls. The TCR repertoire of each sample was assessed by high-throughput sequencing to examine the distinction between SLE subjects and healthy controls. Our results showed statistically significant differences in TCR diversity and usage of TRBV/TRBJ genes between the two groups. A set of signature V–J combinations enabled efficient identification of SLE cases, yielding an area under the curve (AUC) of 0.89 (95% CI: 0.74–1.00). Taken together, our results revealed the potential correlation between the TCR repertoire and SLE status, which may facilitate the development of novel immune biomarkers.
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Affiliation(s)
- Xiaolan Ye
- Department of Pharmacy, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Zhe Wang
- National Engineering Research Center for Protein Drugs, Beijing, China.,GS Medical (Beijing) Technology Development LLC, Beijing, China.,JITRI Applied Adaptome Immunology Institute, Nanjing, China
| | - Qiang Ye
- Department of Pharmacy, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Jing Zhang
- National Engineering Research Center for Protein Drugs, Beijing, China.,GS Medical (Beijing) Technology Development LLC, Beijing, China
| | - Ping Huang
- Department of Pharmacy, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Jingying Song
- Department of Nephrology, Changed Central Hospital, Chengde, China
| | - Yiwen Li
- Department of Nephrology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Hongjuan Zhang
- Department of Nephrology, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Feifeng Song
- Department of Pharmacy, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Zixue Xuan
- Department of Pharmacy, People's Hospital of Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Kejian Wang
- Lin He's Academician Workstation of New Medicine and Clinical Translation at The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
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24
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Moore E, Huang MW, Jain S, Chalmers SA, Macian F, Putterman C. The T Cell Receptor Repertoire in Neuropsychiatric Systemic Lupus Erythematosus. Front Immunol 2020; 11:1476. [PMID: 32765512 PMCID: PMC7379895 DOI: 10.3389/fimmu.2020.01476] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 06/05/2020] [Indexed: 11/13/2022] Open
Abstract
Objective: In systemic lupus erythematosus (SLE), widespread T cell infiltration into target organs contributes to inflammation and organ damage. Autoreactive T cells become aberrantly activated in this disease due to dysfunctional T cell receptor signaling that lowers the activation threshold. Characterizing the T cell repertoire can provide further insight into the specific homing and proliferation of these T cells into lupus target organs. In the spontaneous lupus model, MRL/lpr, the TCR repertoire has not been fully elucidated, especially for T cells infiltrating the brain. Our aim was to investigate and compare the TCR repertoire between MRL/lpr mice and its congenic controls, MRL/MpJ, and within MRL/lpr tissues. Methods: Spleen, salivary gland, and brain choroid plexus were isolated from female MRL/lpr mice and MRL/MpJ mice. The TCRβ CDR3 region was analyzed by multiplex PCRs and sequencing. Results: Significant differences were seen not only between the MRL/lpr and MRL/MpJ spleens, but also between MRL/lpr tissues. The TCR repertoire in MRL/lpr choroid plexus tissues had significantly increased clonality and sequence homology compared to MRL/lpr spleen and salivary gland. The consensus sequence, CASSQDWGGYEQYFF, was identified in the MRL/lpr choroid plexus repertoire. Conclusions: The TCR repertoire in lupus prone mice is not uniform between target organs, and suggests that T cells are specifically recruited into the choroid plexus of MRL/lpr mice. Further studies are needed to determine the antigen specificities for these infiltrating T cells in target organs of lupus mice, and their possible contribution to the pathogenesis of neuropsychiatric disease and other lupus manifestations.
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Affiliation(s)
- Erica Moore
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Michelle W Huang
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Shweta Jain
- Early Discovery and Fundamental Research, Hansoh Bio, Rockville, MD, United States
| | - Samantha A Chalmers
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Fernando Macian
- Department of Pathology, Albert Einstein College of Medicine, New York, NY, United States
| | - Chaim Putterman
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, United States.,Division of Rheumatology, Albert Einstein College of Medicine, Bronx, NY, United States.,Bar-Ilan University Azrieli Faculty of Medicine, Ramat Gan, Israel.,Galilee Medical Center, Nahariya, Israel
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25
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Peptide-Based Vaccination Therapy for Rheumatic Diseases. J Immunol Res 2020; 2020:8060375. [PMID: 32258176 PMCID: PMC7104265 DOI: 10.1155/2020/8060375] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 02/28/2020] [Indexed: 02/06/2023] Open
Abstract
Rheumatic diseases are extremely heterogeneous diseases with substantial risks of morbidity and mortality, and there is a pressing need in developing more safe and cost-effective treatment strategies. Peptide-based vaccination is a highly desirable strategy in treating noninfection diseases, such as cancer and autoimmune diseases, and has gained increasing attentions. This review is aimed at providing a brief overview of the recent advances in peptide-based vaccination therapy for rheumatic diseases. Tremendous efforts have been made to develop effective peptide-based vaccinations against rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE), while studies in other rheumatic diseases are still limited. Peptide-based active vaccination against pathogenic cytokines such as TNF-α and interferon-α (IFN-α) is shown to be promising in treating RA or SLE. Moreover, peptide-based tolerogenic vaccinations also have encouraging results in treating RA or SLE. However, most studies available now have been mainly based on animal models, while evidence from clinical studies is still lacking. The translation of these advances from experimental studies into clinical therapy remains impeded by some obstacles such as species difference in immunity, disease heterogeneity, and lack of safe delivery carriers or adjuvants. Nevertheless, advances in high-throughput technology, bioinformatics, and nanotechnology may help overcome these impediments and facilitate the successful development of peptide-based vaccination therapy for rheumatic diseases.
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26
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Valpione S, Galvani E, Tweedy J, Mundra PA, Banyard A, Middlehurst P, Barry J, Mills S, Salih Z, Weightman J, Gupta A, Gremel G, Baenke F, Dhomen N, Lorigan PC, Marais R. Immune-awakening revealed by peripheral T cell dynamics after one cycle of immunotherapy. NATURE CANCER 2020; 1:210-221. [PMID: 32110781 PMCID: PMC7046489 DOI: 10.1038/s43018-019-0022-x] [Citation(s) in RCA: 129] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 12/17/2019] [Indexed: 12/19/2022]
Abstract
Our understanding of how checkpoint inhibitors (CPI) affect T cell evolution is incomplete, limiting our ability to achieve full clinical benefit from these drugs. Here we analyzed peripheral T cell populations after one cycle of CPI and identified a dynamic awakening of the immune system revealed by T cell evolution in response to treatment. We sequenced T cell receptors (TCR) in plasma cell-free DNA (cfDNA) and peripheral blood mononuclear cells (PBMC) and performed phenotypic analysis of peripheral T cell subsets from metastatic melanoma patients treated with CPI. We found that early peripheral T cell turnover and TCR repertoire dynamics identified which patients would respond to treatment. Additionally, the expansion of a subset of immune-effector peripheral T cells we call TIE cells correlated with response. These events are prognostic and occur within 3 weeks of starting immunotherapy, raising the potential for monitoring patients responses using minimally invasive liquid biopsies."
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Affiliation(s)
- Sara Valpione
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - Elena Galvani
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
| | - Joshua Tweedy
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
| | - Piyushkumar A Mundra
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
| | - Antonia Banyard
- Advanced Imaging and Flow Cytometry, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
| | - Philippa Middlehurst
- Manchester Cancer Research Centre Biobank, The Christie NHS Foundation Trust, Manchester, UK
| | - Jeff Barry
- Advanced Imaging and Flow Cytometry, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
| | - Sarah Mills
- Manchester Cancer Research Centre Biobank, The Christie NHS Foundation Trust, Manchester, UK
| | - Zena Salih
- The Christie NHS Foundation Trust, Manchester, UK
| | - John Weightman
- Molecular Biology Core Facility, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
| | | | - Gabriela Gremel
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
- Boehringer Ingelheim, Vienna, Austria
| | - Franziska Baenke
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
- German Cancer Consortium (DKTK), German Cancer Research Centre (DKFZ), Heidelberg, Germany
- Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany
| | - Nathalie Dhomen
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK
| | | | - Richard Marais
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
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27
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Minervina A, Pogorelyy M, Mamedov I. T‐cell receptor and B‐cell receptor repertoire profiling in adaptive immunity. Transpl Int 2019; 32:1111-1123. [DOI: 10.1111/tri.13475] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 05/09/2019] [Accepted: 06/25/2019] [Indexed: 12/24/2022]
Affiliation(s)
- Anastasia Minervina
- Department of Genomics of Adaptive Immunity M M Shemyakin and Yu A Ovchinnikov Institute of Bioorganic Chemistry RAS Moscow Russia
| | - Mikhail Pogorelyy
- Department of Genomics of Adaptive Immunity M M Shemyakin and Yu A Ovchinnikov Institute of Bioorganic Chemistry RAS Moscow Russia
- Institute of Translational Medicine Pirogov Russian National Research Medical University Moscow Russia
| | - Ilgar Mamedov
- Department of Genomics of Adaptive Immunity M M Shemyakin and Yu A Ovchinnikov Institute of Bioorganic Chemistry RAS Moscow Russia
- Institute of Translational Medicine Pirogov Russian National Research Medical University Moscow Russia
- Laboratory of Molecular Biology Rogachev Federal Scientific and Clinical Centre of Pediatric Hematology Oncology and Immunology Moscow Russia
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28
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Nakagawa R, Muroyama R, Saeki C, Oikawa T, Kaise Y, Koike K, Arai J, Nakano M, Matsubara Y, Takano K, Hirata Y, Saruta M, Zeniya M, Kato N. CD4 + T cells from patients with primary biliary cholangitis show T cell activation and differentially expressed T-cell receptor repertoires. Hepatol Res 2019; 49:653-662. [PMID: 30690835 DOI: 10.1111/hepr.13318] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 01/08/2019] [Accepted: 01/22/2019] [Indexed: 02/08/2023]
Abstract
AIM Primary biliary cholangitis (PBC) is an autoimmune liver disease with unknown pathogenesis. In PBC, activation of T-cell receptor (TCR) signaling is associated with inflammatory cytokine production through N-Ras upregulation. Although the CD4+ T cell TCR repertoire could be associated with PBC pathogenesis, it has not been evaluated. Thus, we analyzed the PBC-CD4+ T cell TCR repertoire using next generation sequencing (NGS). METHODS Four PBC patients (one treatment-naïve and three receiving ursodeoxycholic acid) and three healthy individuals were enrolled. NRAS expression in CD4+ T cells was assessed by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). N-Ras dynamics in CD4+ T cells were assessed by qRT-PCR and GTP-N-Ras activation assay. The TCR α- (TRA) and β-chain (TRB) repertoires on CD4+ T cells were analyzed by NGS and profiled using hierarchical analysis. Motif analysis was undertaken to elucidate the structure of PBC-specific TCRs. RESULTS NRAS was upregulated in PBC relative to control CD4+ T cells (P < 0.05), and N-Ras enhanced T cell activation in CD4+ T cells. Among 2668 TRAs and 841 TRBs, 20 and 11, respectively, were differentially expressed in PBC compared to that in controls (P < 0.05, fold-change >2). Among them, TRAV29/J22, TRBV6-5/J2-6, and TRBV10-1/J2-1 were expressed in PBC but the expression was negligible in the controls, with more mature and longer forms observed in PBC-CD4+ T cells. CONCLUSIONS N-Ras was upregulated in PBC-CD4+ T cells, and it enhanced TCR activation, indicating that PBC-CD4+ T cells were activated by N-Ras upregulation with differentially expressed TCR repertoires on their surfaces.
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Affiliation(s)
- Ryo Nakagawa
- Division of Advanced Genome Medicine, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,Department of Gastroenterology and Hepatology, Jikei University School of Medicine, Tokyo, Japan.,Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Ryosuke Muroyama
- Division of Advanced Genome Medicine, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Chisato Saeki
- Department of Gastroenterology and Hepatology, Jikei University School of Medicine, Tokyo, Japan
| | - Tsunekazu Oikawa
- Department of Gastroenterology and Hepatology, Jikei University School of Medicine, Tokyo, Japan
| | - Yoshimi Kaise
- Division of Advanced Genome Medicine, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Kazuhiko Koike
- Department of Gastroenterology and Hepatology, Jikei University School of Medicine, Tokyo, Japan
| | - Jun Arai
- Division of Advanced Genome Medicine, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Masanori Nakano
- Department of Gastroenterology and Hepatology, Jikei University School of Medicine, Tokyo, Japan
| | - Yasuo Matsubara
- Division of Advanced Genome Medicine, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Keiko Takano
- Department of Gastroenterology and Hepatology, Jikei University School of Medicine, Tokyo, Japan
| | - Yoshihiro Hirata
- Division of Advanced Genome Medicine, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Masayuki Saruta
- Department of Gastroenterology and Hepatology, Jikei University School of Medicine, Tokyo, Japan
| | - Mikio Zeniya
- Sanno Medical Center, International University of Health and Welfare, Tokyo, Japan
| | - Naoya Kato
- Division of Advanced Genome Medicine, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan
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29
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Liu X, Zhang W, Zhao M, Fu L, Liu L, Wu J, Luo S, Wang L, Wang Z, Lin L, Liu Y, Wang S, Yang Y, Luo L, Jiang J, Wang X, Tan Y, Li T, Zhu B, Zhao Y, Gao X, Wan Z, Huang C, Fang M, Li Q, Peng H, Liao X, Chen J, Li F, Ling G, Zhao H, Luo H, Xiang Z, Liao J, Liu Y, Yin H, Long H, Wu H, Yang H, Wang J, Lu Q. T cell receptor β repertoires as novel diagnostic markers for systemic lupus erythematosus and rheumatoid arthritis. Ann Rheum Dis 2019; 78:1070-1078. [DOI: 10.1136/annrheumdis-2019-215442] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 04/30/2019] [Accepted: 04/30/2019] [Indexed: 02/01/2023]
Abstract
ObjectiveT cell receptor (TCR) diversity determines the autoimmune responses in systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) and is closely associated with autoimmune diseases prognosis and prevention. However, the characteristics of variations in TCR diversity and their clinical significance is still unknown. Large series of patients must be studied in order to elucidate the effects of these variations.MethodsPeripheral blood from 877 SLE patients, 206 RA patients and 439 healthy controls (HC) were amplified for the TCR repertoire and sequenced using a high-throughput sequencer. We have developed a statistical model to identify disease-associated TCR clones and diagnose autoimmune diseases.ResultsSignificant differences were identified in variable (V), joining (J) and V-J pairing between the SLE or RA and HC groups. These differences can be utilised to discriminate the three groups with perfect accuracy (V: area under receiver operating curve > 0.99). One hundred ninety-eight SLE-associated and 53 RA-associated TCRs were identified and used for diseases classification by cross validation with high specificity and sensitivity. Disease-associated clones showed common features and high similarity between both autoimmune diseases. SLE displayed higher TCR heterogeneity than RA with several organ specific properties. Furthermore, the association between clonal expansion and the concentration of disease-associated clones with disease severity were identified, and pathogen-related TCRs were enriched in both diseases.ConclusionsThese characteristics of the TCR repertoire, particularly the disease-associated clones, can potentially serve as biomarkers and provide novel insights for disease status and therapeutical targets in autoimmune diseases.
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30
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Qayyum S, Bullock GC, Swerdlow SH, Brower R, Nikiforova M, Aggarwal N. Diagnostic Utility of Isolated Tube C Positivity in T-Cell Receptor β Testing Using BIOMED-2 Primers. Am J Clin Pathol 2019; 151:386-394. [PMID: 30534953 DOI: 10.1093/ajcp/aqy157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
OBJECTIVES T-cell receptor (TCR) gene rearrangement studies are widely used for assessing T-cell clonality. The frequency and significance of clonal peaks restricted to TCR β (TCRB) tube C are uncertain. We retrospectively reviewed 80 TCR studies performed on bone marrow/peripheral blood. METHODS TCRB and TCR γ (TCRG) analyses were performed using BIOMED-2 primers. A peak was considered clonal or atypical if it was reproducible and 5× or more or 3× to 5× polyclonal background, respectively. RESULTS TCRB analysis demonstrated 12 (15%) of 80 cases with one to four isolated peaks in tube C (>3×) with polyclonal pattern in tubes A and B. TCRG analysis was monoclonal in two cases (both definite T-cell neoplasms), polyclonal in four, and oligoclonal in six. Of the 10 cases without clone in TCRG, six had autoimmune disorder and none had T-cell neoplasm. CONCLUSIONS Peaks restricted to TCRB tube C in the TCR analysis may be misleading, as it is often not indicative of an overt T-cell neoplasm.
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Affiliation(s)
- Sohail Qayyum
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Grant C Bullock
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Steven H Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Raven Brower
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Marina Nikiforova
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Nidhi Aggarwal
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
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31
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Martínez T, Garcia-Robledo JE, Plata I, Urbano MA, Posso-Osorio I, Rios-Serna LJ, Barrera MC, Tobón GJ. Mechanisms of action and historical facts on the use of intravenous immunoglobulins in systemic lupus erythematosus. Autoimmun Rev 2019; 18:279-286. [PMID: 30639648 DOI: 10.1016/j.autrev.2018.10.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 10/14/2018] [Indexed: 12/29/2022]
Abstract
The current existing therapies for severe cases of systemic lupus erythematosus (SLE) patients are still limited. Intravenous immunoglobulin (IVIGs), which are purified from the plasma of thousands of healthy human donors, have been profiled as efficacious and life-saving options for SLE patients refractory to conventional therapy. The specific mechanism of action by which IVIGs generate immunomodulation in SLE is not currently understood. In this manuscript, we reviewed some of the hypothesis that have been postulated to explain the IVIG effects, including those on T and B cell intracellular signalling and activation, as well as the interferon signalling pathways involved in the detection of nucleic acids and the defective removal of immune complexes and debris.
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Affiliation(s)
- Tatiana Martínez
- GIRAT: Grupo de Investigación en Reumatología, Autoinmunidad y Medicina traslacional. Fundación Valle del Lili, Univesidad Icesi, Colombia
| | | | - Ilich Plata
- Medical School, Universidad Icesi, Cali, Colombia
| | | | - Ivan Posso-Osorio
- GIRAT: Grupo de Investigación en Reumatología, Autoinmunidad y Medicina traslacional. Fundación Valle del Lili, Univesidad Icesi, Colombia
| | - Lady J Rios-Serna
- GIRAT: Grupo de Investigación en Reumatología, Autoinmunidad y Medicina traslacional. Fundación Valle del Lili, Univesidad Icesi, Colombia
| | - María Claudia Barrera
- GIRAT: Grupo de Investigación en Reumatología, Autoinmunidad y Medicina traslacional. Fundación Valle del Lili, Univesidad Icesi, Colombia
| | - Gabriel J Tobón
- GIRAT: Grupo de Investigación en Reumatología, Autoinmunidad y Medicina traslacional. Fundación Valle del Lili, Univesidad Icesi, Colombia; Laboratory of immunology, Fundación Valle del Lili, Cali, Colombia.
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32
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Jia X, Wang B, Zhai T, Yao Q, Li Q, Zhang JA. WITHDRAWN: T cell receptor revision and immune repertoire changes in autoimmune diseases. Clin Immunol 2018:S1521-6616(18)30724-1. [PMID: 30543918 DOI: 10.1016/j.clim.2018.12.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.
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Affiliation(s)
- Xi Jia
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Bing Wang
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Tianyu Zhai
- Department of Endocrinology, Zhongshan Hospital of Fudan University, Shanghai 201508, China
| | - Qiuming Yao
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Qian Li
- Department of Endocrinology, Jinshan Hospital of Fudan University, Shanghai 201508, China
| | - Jin-An Zhang
- Department of Endocrinology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201318, China.
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Caso F, Costa L, Nucera V, Barilaro G, Masala IF, Talotta R, Caso P, Scarpa R, Sarzi-Puttini P, Atzeni F. From autoinflammation to autoimmunity: old and recent findings. Clin Rheumatol 2018; 37:2305-2321. [PMID: 30014358 DOI: 10.1007/s10067-018-4209-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 07/06/2018] [Accepted: 07/09/2018] [Indexed: 12/13/2022]
Abstract
Autoimmune diseases and autoinflammatory diseases have a number of similar etiopathogenetic and clinical characteristics, including genetic predisposition and recurrent systemic inflammatory flares. The first phase of ADs involves innate immunity: by means of TLRs, autoantigen presentation, B and T cell recruitment and autoantibody synthesis. The second phase involves adaptive immunity, a self-sustaining process in which immune complexes containing nucleic acids and autoantibodies activate self-directed inflammation. The link between autoimmunity and autoinflammation is IL-1ß, which is crucial in connecting the innate immune response due to NLR activation and the adaptive immune responses of T and B cells. In conclusion, although ADs are still considered adaptive immunity-mediated disorders, there is increasing evidence that innate immunity and inflammasomes are also involved. The aim of this review is to highlight the link between the innate and adaptive immune mechanisms involved in autoimmune diseases.
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Affiliation(s)
- Francesco Caso
- Rheumatology Unit, Department of Clinical Medicine and Surgery, University Federico II, Via Sergio Pansini, 5, Naples, Italy
| | - Luisa Costa
- Rheumatology Unit, Department of Clinical Medicine and Surgery, University Federico II, Via Sergio Pansini, 5, Naples, Italy
| | - Valeria Nucera
- Rheumatology Unit, University of Messina, Messina, Italy
| | - Giuseppe Barilaro
- Department of Internal Medicine, IRCCS San Raffaele Pisana, Rome, Italy
| | | | - Rossella Talotta
- Rheumatology Unit, ASST Fatebenefratelli Sacco Buzzi, Milan, Italy
| | - Paolo Caso
- Geriatric Unit, Faculty of Medicine and Psychology, S. Andrea Hospital, "Sapienza" University of Rome, Rome, Italy
| | - Raffaele Scarpa
- Rheumatology Unit, Department of Clinical Medicine and Surgery, University Federico II, Via Sergio Pansini, 5, Naples, Italy.
| | | | - Fabiola Atzeni
- Rheumatology Unit, University of Messina, Messina, Italy
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34
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Cui JH, Jin YB, Lin KR, Xiao P, Chen XP, Pan YM, Lin W, Wu ZC, Guo DM, Mao XF, Zhang CL, Lian WL, Luo W. Characterization of peripheral blood TCR repertoire in patients with ankylosing spondylitis by high-throughput sequencing. Hum Immunol 2018; 79:485-490. [DOI: 10.1016/j.humimm.2018.03.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2017] [Revised: 03/23/2018] [Accepted: 03/23/2018] [Indexed: 10/17/2022]
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35
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Chaara W, Gonzalez-Tort A, Florez LM, Klatzmann D, Mariotti-Ferrandiz E, Six A. RepSeq Data Representativeness and Robustness Assessment by Shannon Entropy. Front Immunol 2018; 9:1038. [PMID: 29868003 PMCID: PMC5962720 DOI: 10.3389/fimmu.2018.01038] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 04/25/2018] [Indexed: 12/30/2022] Open
Abstract
High-throughput sequencing (HTS) has the potential to decipher the diversity of T cell repertoires and their dynamics during immune responses. Applied to T cell subsets such as T effector and T regulatory cells, it should help identify novel biomarkers of diseases. However, given the extreme diversity of TCR repertoires, understanding how the sequencing conditions, including cell numbers, biological and technical sampling and sequencing depth, impact the experimental outcome is critical to proper use of these data. Here, we assessed the representativeness and robustness of TCR repertoire diversity assessment according to experimental conditions. By comparative analyses of experimental datasets and computer simulations, we found that (i) for small samples, the number of clonotypes recovered is often higher than the number of cells per sample, even after removing the singletons; (ii) high-sequencing depth for small samples alters the clonotype distributions, which can be corrected by filtering the datasets using Shannon entropy as a threshold; and (iii) a single sequencing run at high depth does not ensure a good coverage of the clonotype richness in highly polyclonal populations, which can be better covered using multiple sequencing. Altogether, our results warrant better understanding and awareness of the limitation of TCR diversity analyses by HTS and justify the development of novel computational tools for improved modeling of the highly complex nature of TCR repertoires.
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Affiliation(s)
- Wahiba Chaara
- Sorbonne Université, INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (i3), Paris, France.,AP-HP, Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Paris, France
| | - Ariadna Gonzalez-Tort
- Sorbonne Université, INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (i3), Paris, France
| | - Laura-Maria Florez
- Sorbonne Université, INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (i3), Paris, France
| | - David Klatzmann
- Sorbonne Université, INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (i3), Paris, France.,AP-HP, Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Paris, France
| | - Encarnita Mariotti-Ferrandiz
- Sorbonne Université, INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (i3), Paris, France.,AP-HP, Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Paris, France
| | - Adrien Six
- Sorbonne Université, INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (i3), Paris, France.,AP-HP, Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Paris, France
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36
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Christley S, Scarborough W, Salinas E, Rounds WH, Toby IT, Fonner JM, Levin MK, Kim M, Mock SA, Jordan C, Ostmeyer J, Buntzman A, Rubelt F, Davila ML, Monson NL, Scheuermann RH, Cowell LG. VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements. Front Immunol 2018; 9:976. [PMID: 29867956 PMCID: PMC5953328 DOI: 10.3389/fimmu.2018.00976] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 04/19/2018] [Indexed: 11/13/2022] Open
Abstract
Background Recent technological advances in immune repertoire sequencing have created tremendous potential for advancing our understanding of adaptive immune response dynamics in various states of health and disease. Immune repertoire sequencing produces large, highly complex data sets, however, which require specialized methods and software tools for their effective analysis and interpretation. Results VDJServer is a cloud-based analysis portal for immune repertoire sequence data that provide access to a suite of tools for a complete analysis workflow, including modules for preprocessing and quality control of sequence reads, V(D)J gene segment assignment, repertoire characterization, and repertoire comparison. VDJServer also provides sophisticated visualizations for exploratory analysis. It is accessible through a standard web browser via a graphical user interface designed for use by immunologists, clinicians, and bioinformatics researchers. VDJServer provides a data commons for public sharing of repertoire sequencing data, as well as private sharing of data between users. We describe the main functionality and architecture of VDJServer and demonstrate its capabilities with use cases from cancer immunology and autoimmunity. Conclusion VDJServer provides a complete analysis suite for human and mouse T-cell and B-cell receptor repertoire sequencing data. The combination of its user-friendly interface and high-performance computing allows large immune repertoire sequencing projects to be analyzed with no programming or software installation required. VDJServer is a web-accessible cloud platform that provides access through a graphical user interface to a data management infrastructure, a collection of analysis tools covering all steps in an analysis, and an infrastructure for sharing data along with workflows, results, and computational provenance. VDJServer is a free, publicly available, and open-source licensed resource.
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Affiliation(s)
- Scott Christley
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Walter Scarborough
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX, United States
| | - Eddie Salinas
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - William H. Rounds
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Inimary T. Toby
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - John M. Fonner
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX, United States
| | | | - Min Kim
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Stephen A. Mock
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX, United States
| | - Christopher Jordan
- Texas Advanced Computing Center, University of Texas at Austin, Austin, TX, United States
| | - Jared Ostmeyer
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Adam Buntzman
- Bio5 Institute, University of Arizona, Tucson, AZ, United States
| | - Florian Rubelt
- Department of Microbiology and Immunology, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, United States
| | - Marco L. Davila
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Nancy L. Monson
- Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Dallas, TX, United States,Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Richard H. Scheuermann
- J. Craig Venter Institute, La Jolla, CA, United States,Department of Pathology, University of California, San Diego, San Diego, CA, United States,La Jolla Institute for Allergy & Immunology, La Jolla, CA, United States
| | - Lindsay G. Cowell
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States,*Correspondence: Lindsay G. Cowell,
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Liu X, Wu J. History, applications, and challenges of immune repertoire research. Cell Biol Toxicol 2018; 34:441-457. [PMID: 29484527 DOI: 10.1007/s10565-018-9426-0] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 02/14/2018] [Indexed: 12/19/2022]
Abstract
The diversity of T and B cells in terms of their receptor sequences is huge in the vertebrate's immune system and provides broad protection against the vast diversity of pathogens. Immune repertoire is defined as the sum of T cell receptors and B cell receptors (also named immunoglobulin) that makes the organism's adaptive immune system. Before the emergence of high-throughput sequencing, the studies on immune repertoire were limited by the underdeveloped methodologies, since it was impossible to capture the whole picture by the low-throughput tools. The massive paralleled sequencing technology suits perfectly the researches on immune repertoire. In this article, we review the history of immune repertoire studies, in terms of technologies and research applications. Particularly, we discuss several aspects of challenges in this field and highlight the efforts to develop potential solutions, in the era of high-throughput sequencing of the immune repertoire.
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Affiliation(s)
- Xiao Liu
- BGI-Shenzhen, Shenzhen, 518083, China.
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38
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Yu J, Shi B, Ma L, Liu C, Sun S, Ma R, Qiu Y, Yao X. Case report for recurrent and new-onset SLE patients treated by high-dose glucocorticoid therapy: Characteristics of peripheral TCR beta chain CDR3 repertoires. Medicine (Baltimore) 2017; 96:e9022. [PMID: 29245286 PMCID: PMC5728901 DOI: 10.1097/md.0000000000009022] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
RATIONALE High-dose glucocorticoid therapy has been widely applied in clinical practice in systemic lupus erythematosus (SLE)patients, but less is known about the changes of T cells, especially the T cell receptor (TCR) repertoires, during the treatment. The aim of this paper is to describe the changes of TCR that recurrent and new-onset SLE patients treated by high-dose glucocorticoid therapy. PATIENT CONCERNS Drugs of clinical treatment of SLE mainly include glucocorticoid, immunosuppressive agents, nonsteroidal anti-inflammatory drugs and B cell targeted drugs, etc, but the clinical symptoms were in remission and recurrent of onset patients with SLE. DIAGNOSES Refer to the diagnostic criteria for SLE in 2011 by the American society of rheumatology. INTERVENTIONS All patients were treated with High-dose glucocorticoid therapy and surveyed the TCR repertoires at 3 monitoring moments (before treatment, one month after treatment, and 3 months after treatment) to analyze the relationship between the characteristics of TCR repertoire and the highdose glucocorticoid therapy. OUTCOMES We found that high-dose glucocorticoid therapy resulted in clinical symptom remission, as well as change of diversity, highly expanded clones (HEC), usage of TCR beta chain variable gene (TRBV)/TCR beta chain joining gene (TRBJ), and overlapped sequences of TCR beta chain complementarity determining region 3 (CDR3) repertoires. This suggests that the effect of high-dose glucocorticoids on TCR repertoires is closely related to individual autoimmune T cells. LESSONS In this study, we have shown that we could evaluate the effect of therapy, the pathogenesis, and the prognosis for the patients with SLE by monitoring the TCR CDR3 repertoires. It could afford a new method to find the therapeutic target of SLE.
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MESH Headings
- Complementarity Determining Regions/drug effects
- Complementarity Determining Regions/metabolism
- Dose-Response Relationship, Drug
- Glucocorticoids/administration & dosage
- Glucocorticoids/pharmacology
- Glucocorticoids/therapeutic use
- Humans
- Lupus Erythematosus, Systemic/drug therapy
- Lupus Erythematosus, Systemic/immunology
- Receptors, Antigen, T-Cell/drug effects
- Receptors, Antigen, T-Cell/metabolism
- Receptors, Antigen, T-Cell, alpha-beta/drug effects
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
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Affiliation(s)
- Jiang Yu
- Department of Immunology, Research Center for Medicine & Biology, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University
- Cell Engineering Laboratory, The first Affiliated Hospital of ZunYi Medical University
| | - Bin Shi
- Department of Immunology, Research Center for Medicine & Biology, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University
- Department of Laboratory Medicine, Zunyi Medical University
| | - Long Ma
- Department of Immunology, Research Center for Medicine & Biology, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University
| | | | - Suhong Sun
- Department of Breast Surgery, The first Affiliated Hospital of ZunYi Medical University, Zunyi
| | - Rui Ma
- Department of Immunology, Research Center for Medicine & Biology, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University
| | - Yuehong Qiu
- Department of Gastroenterology, Rizhao People's Hospital, Rizhao, China
| | - Xinsheng Yao
- Department of Immunology, Research Center for Medicine & Biology, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University
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39
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Wanchoo A, Voigt A, Sukumaran S, Stewart CM, Bhattacharya I, Nguyen CQ. Single-cell analysis reveals sexually dimorphic repertoires of Interferon-γ and IL-17A producing T cells in salivary glands of Sjögren's syndrome mice. Sci Rep 2017; 7:12512. [PMID: 28970488 PMCID: PMC5624952 DOI: 10.1038/s41598-017-12627-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 09/13/2017] [Indexed: 12/23/2022] Open
Abstract
The development of Sjögren's syndrome (SjS) is a dynamic and temporal process with a female predilection. Following the initial influx of immune cells, T cell clusters develop, accelerating the pathology in the salivary glands. Proinflammatory cytokines, IFN-γ and IL-17A, produced by T cells contribute synergistically to the disease. In this study, we examined the sexual dimorphism in cellular infiltrates of the salivary glands by using functional single-cell microengraving analysis. Using high-throughput sequencing, we investigated the clonal diversity of the T cell receptors (TCRs) of infiltrating IFN-γ and IL-17A-producing T cells in male and female SjS-susceptible (SjSs) C57BL/6.NOD-Aec1Aec2 mice. There were elevated frequencies of IFN-γ and IL-17A-producing effector T cell populations in female SjSS mice compared to male SjSS mice. MEME analysis shows high frequency and unique, sexually dimorphic motifs in the TCR hypervariable regions in the SjSS mice. Male mice selected for TRAV8/TRAJ52 (CATDLNTGANTGKLTFG) TCR genes in Th1 cells and TRBV16/(TRBD1/2)TRBJ1-7 (CGGKRRLESIFR) in Th1 and Th17 cells. Female SjSS mice selected for TRAV8/TRAJ52 (CATDLNTGANTGKLTFG), TRAV13D-2/TRAJ23 (CVYLEHHFE), and TRBV23/(TRBD2)TRBJ2-2 (CRKLHSCATCALNFL) in Th1 cells. These findings suggest that there is an elevated prevalence of pathogenic effector T cells in the glands with a sexually dimorphic selection bias of TCR repertoires.
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Affiliation(s)
- Arun Wanchoo
- Department of Infectious Diseases and Pathology, College of Veterinary Medicine, University of Florida, Gainesville Florida, USA
| | - Alexandria Voigt
- Department of Infectious Diseases and Pathology, College of Veterinary Medicine, University of Florida, Gainesville Florida, USA
| | - Sukesh Sukumaran
- Rheumatology Section, University of Arkansas for Medical Sciences, Arkansas Children's Hospital, Little Rock Arkansas, USA
| | - Carol M Stewart
- Department of Oral and Maxillofacial Diagnostic Sciences, Gainesville Florida, USA
- Center of Orphaned Autoimmune Diseases, University of Florida, Gainesville Florida, USA
| | - Indraneel Bhattacharya
- Department of Oral and Maxillofacial Diagnostic Sciences, Gainesville Florida, USA
- Center of Orphaned Autoimmune Diseases, University of Florida, Gainesville Florida, USA
| | - Cuong Q Nguyen
- Department of Infectious Diseases and Pathology, College of Veterinary Medicine, University of Florida, Gainesville Florida, USA.
- Department of Oral Biology, Gainesville Florida, USA.
- Center of Orphaned Autoimmune Diseases, University of Florida, Gainesville Florida, USA.
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40
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Oftedal BE, Ardesjö Lundgren B, Hamm D, Gan PY, Holdsworth SR, Hahn CN, Schreiber AW, Scott HS. T cell receptor assessment in autoimmune disease requires access to the most adjacent immunologically active organ. J Autoimmun 2017; 81:24-33. [DOI: 10.1016/j.jaut.2017.03.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 02/28/2017] [Accepted: 03/06/2017] [Indexed: 01/22/2023]
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41
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Tickotsky N, Sagiv T, Prilusky J, Shifrut E, Friedman N. McPAS-TCR: a manually curated catalogue of pathology-associated T cell receptor sequences. Bioinformatics 2017; 33:2924-2929. [DOI: 10.1093/bioinformatics/btx286] [Citation(s) in RCA: 161] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 05/02/2017] [Indexed: 11/14/2022] Open
Affiliation(s)
- Nili Tickotsky
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Tal Sagiv
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Jaime Prilusky
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Eric Shifrut
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Nir Friedman
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
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42
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The innate immune system in human systemic lupus erythematosus. Clin Sci (Lond) 2017; 131:625-634. [DOI: 10.1042/cs20160415] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 12/24/2016] [Accepted: 01/11/2017] [Indexed: 12/27/2022]
Abstract
Although the role of adaptive immune mechanisms, e.g. autoantibody formation and abnormal T-cell activation, has been long noted in the pathogenesis of human systemic lupus erythematosus (SLE), the role of innate immunity has been less well characterized. An intricate interplay between both innate and adaptive immune elements exists in protective anti-infective immunity as well as in detrimental autoimmunity. More recently, it has become clear that the innate immune system in this regard not only starts inflammation cascades in SLE leading to disease flares, but also continues to fuel adaptive immune responses throughout the course of the disease. This is why targeting the innate immune system offers an additional means of treating SLE. First trials assessing the efficacy of anti-type I interferon (IFN) therapy or modulators of pattern recognition receptor (PRR) signalling have been attempted. In this review, we summarize the available evidence on the role of several distinct innate immune elements, especially neutrophils and dendritic cells as well as the IFN system, as well as specific innate PRRs along with their signalling pathways. Finally, we highlight recent clinical trials in SLE addressing one or more of the aforementioned components of the innate immune system.
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43
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Morawski PA, Bolland S. Expanding the B Cell-Centric View of Systemic Lupus Erythematosus. Trends Immunol 2017; 38:373-382. [PMID: 28274696 DOI: 10.1016/j.it.2017.02.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Revised: 01/26/2017] [Accepted: 02/08/2017] [Indexed: 12/29/2022]
Abstract
Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by a breakdown of self-tolerance in B cells and the production of antibodies against nuclear self-antigens. Increasing evidence supports the notion that additional cellular contributors beyond B cells are important for lupus pathogenesis. In this review we consider recent advances regarding both the pathogenic and the regulatory role of lymphocytes in SLE beyond the production of IgG autoantibodies. We also discuss various inflammatory effector cell types involved in cytokine production, removal of self-antigens, and responses to autoreactive IgE antibodies. We aim to integrate these ideas to expand the current understanding of the cellular components that contribute to disease progression and ultimately help in the design of novel, targeted therapeutics.
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Affiliation(s)
- Peter A Morawski
- Laboratory of Immunogenetics, National Institute of Allergic and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA
| | - Silvia Bolland
- Laboratory of Immunogenetics, National Institute of Allergic and Infectious Diseases, National Institutes of Health, Rockville, MD 20852, USA.
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44
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Proserpio V, Lönnberg T. Single-cell technologies are revolutionizing the approach to rare cells. Immunol Cell Biol 2015; 94:225-9. [PMID: 26620630 PMCID: PMC4796591 DOI: 10.1038/icb.2015.106] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 11/11/2015] [Accepted: 11/13/2015] [Indexed: 01/17/2023]
Abstract
In the last lustrum single-cell techniques such as single-cell quantitative PCR, RNA and DNA sequencing, and the state-of-the-art cytometry by time of flight (CyTOF) mass cytometer have allowed a detailed analysis of the sub-composition of different organs from the bone marrow hematopoietic compartment to the brain. These fine-grained analyses have highlighted the great heterogeneity within each cell compartment revealing previously unknown subpopulations of cells. In this review, we analyze how this fast technological evolution has improved our understanding of the biological processes with a particular focus on rare cells of the immune system.
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Affiliation(s)
- Valentina Proserpio
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.,European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge, UK
| | - Tapio Lönnberg
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.,European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge, UK
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