1
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Chandraker A, Regmi A, Gohh R, Sharma A, Woodle ES, Ansari MJ, Nair V, Chen LX, Alhamad T, Norman S, Cibrik D, Singh M, Alper A, Jain D, Zaky Z, Knechtle S, Sharfuddin A, Gupta G, Lonze BE, Young JAH, Adey D, Faravardeh A, Dadhania DM, Rossi AP, Florescu D, Cardarelli F, Ma J, Gilmore S, Vasileiou S, Jindra PT, Wojciechowski D. Posoleucel in Kidney Transplant Recipients with BK Viremia: Multicenter, Randomized, Double-Blind, Placebo-Controlled Phase 2 Trial. J Am Soc Nephrol 2024; 35:618-629. [PMID: 38470444 PMCID: PMC11149047 DOI: 10.1681/asn.0000000000000329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 03/05/2024] [Indexed: 03/13/2024] Open
Abstract
Key Points
Posoleucel was generally safe, well tolerated, and associated with a greater reduction of BK viremia compared with placebo.BK viremia reduction occurred coincident with an increase in the circulating frequency of BK virus–specific T cells in posoleucel recipients.The presence and persistence of posoleucel was confirmed by T-cell receptor variable β sequencing.
Background
Kidney transplant recipients with BK virus infection are at risk of developing BK virus–associated nephropathy, allograft rejection, and subsequent graft loss. There are no approved treatments for BK virus infection. Posoleucel is an off-the-shelf, allogeneic, multivirus-specific T-cell investigational therapy targeting BK virus, as well as five other opportunistic viruses: adenovirus, cytomegalovirus, Epstein–Barr virus, human herpesvirus 6, and John Cunningham virus.
Methods
In this phase 2, double-blind study, kidney transplant recipients with BK viremia were randomized 1:1:1 to receive posoleucel weekly for 3 weeks and then every 14 days (bi-weekly dosing) or every 28 days (monthly dosing) or placebo for 12 weeks. Participants were followed for 12 weeks after completing treatment. The primary objective was safety; the secondary objective was plasma BK viral load reduction.
Results
Sixty-one participants were randomized and dosed. Baseline characteristics were similar across groups. No deaths, graft-versus-host disease, or cytokine release syndrome occurred. The proportion of patients who had adverse events (AEs) judged by the investigators to be treatment-related was slightly lower in recipients of posoleucel: 20% (4 of 20 patients) and 18% (4 of 22) in those infused on a bi-weekly and monthly schedule, respectively, and 26% (5 of 19) in placebo recipients. None of the grade 3–4 AEs or serious AEs in any group were deemed treatment-related. No deaths, graft-versus-host disease, or cytokine release syndrome occurred. Three participants had allograft rejection, but none were deemed treatment-related by investigators. In posoleucel recipients, BK viremia reduction was associated with an increase in the circulating frequency of BK virus–specific T cells, and the presence and persistence of posoleucel was confirmed by T-cell receptor sequencing.
Conclusions
Posoleucel was generally safe, well tolerated, and associated with a larger reduction of BK viremia compared with placebo. Limitations of this study include the relatively short duration of follow-up and lack of power to detect significant differences in clinical outcomes.
Clinical Trial registry name and registration number:
Study of Posoleucel (Formerly Known as ALVR105; Viralym-M) in Kidney Transplant Patients With BK Viremia, NCT04605484.
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Affiliation(s)
- Anil Chandraker
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Renal Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts
| | - Anil Regmi
- Inova Transplant Center, Falls Church, Virginia
| | | | - Akhil Sharma
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | | | - Vinay Nair
- Northwell Health, New Hyde Park, New York
| | - Ling-Xin Chen
- University of California Davis, Sacramento, California
| | - Tarek Alhamad
- Washington University School of Medicine at St. Louis, St. Louis, Missouri
| | | | | | | | | | | | | | | | - Asif Sharfuddin
- Indiana University School of Medicine, Indianapolis, Indiana
| | - Gaurav Gupta
- Virginia Commonwealth University, Richmond, Virginia
| | | | | | - Deborah Adey
- University of California, San Francisco, California
| | - Arman Faravardeh
- SHARP Kidney and Pancreas Transplant Center, San Diego, California
| | | | - Ana P Rossi
- Piedmont Transplant Institute, Atlanta, Georgia
| | | | | | - Julie Ma
- AlloVir, Inc., Waltham, Massachusetts
| | | | - Spyridoula Vasileiou
- AlloVir, Inc., Waltham, Massachusetts
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas
| | - Peter T Jindra
- Immune Evaluation Laboratory, Baylor College of Medicine, Houston, Texas
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2
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Vujkovic A, Ha M, de Block T, van Petersen L, Brosius I, Theunissen C, van Ierssel SH, Bartholomeus E, Adriaensen W, Vanham G, Elias G, Van Damme P, Van Tendeloo V, Beutels P, van Frankenhuijsen M, Vlieghe E, Ogunjimi B, Laukens K, Meysman P, Vercauteren K. Diagnosing Viral Infections Through T-Cell Receptor Sequencing of Activated CD8+ T Cells. J Infect Dis 2024; 229:507-516. [PMID: 37787611 PMCID: PMC10873181 DOI: 10.1093/infdis/jiad430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/26/2023] [Accepted: 09/29/2023] [Indexed: 10/04/2023] Open
Abstract
T-cell-based diagnostic tools identify pathogen exposure but lack differentiation between recent and historical exposures in acute infectious diseases. Here, T-cell receptor (TCR) RNA sequencing was performed on HLA-DR+/CD38+CD8+ T-cell subsets of hospitalized coronavirus disease 2019 (COVID-19) patients (n = 30) and healthy controls (n = 30; 10 of whom had previously been exposed to severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]). CDR3α and CDR3β TCR regions were clustered separately before epitope specificity annotation using a database of SARS-CoV-2-associated CDR3α and CDR3β sequences corresponding to >1000 SARS-CoV-2 epitopes. The depth of the SARS-CoV-2-associated CDR3α/β sequences differentiated COVID-19 patients from the healthy controls with a receiver operating characteristic area under the curve of 0.84 ± 0.10. Hence, annotating TCR sequences of activated CD8+ T cells can be used to diagnose an acute viral infection and discriminate it from historical exposure. In essence, this work presents a new paradigm for applying the T-cell repertoire to accomplish TCR-based diagnostics.
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Affiliation(s)
- Alexandra Vujkovic
- Clinical Virology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
| | - My Ha
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Antwerp Center for Translational Immunology and Virology (ACTIV), Antwerp, Belgium
- Centre for Health Economics Research and Modeling Infectious Diseases (CHERMID), University of Antwerp, Belgium
- Vaccine and Infectious Disease Institute, University of Antwerp, Belgium
| | - Tessa de Block
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Lida van Petersen
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Isabel Brosius
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Caroline Theunissen
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Sabrina H van Ierssel
- Department of General Internal Medicine, Infectious Diseases and Tropical Medicine, University Hospital Antwerp, Belgium
| | - Esther Bartholomeus
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Antwerp Center for Translational Immunology and Virology (ACTIV), Antwerp, Belgium
| | - Wim Adriaensen
- Clinical Immunology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Guido Vanham
- Biomedical Department, Institute of Tropical Medicine, Antwerp, Belgium
| | - George Elias
- Laboratory of Experimental Hematology, Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - Pierre Van Damme
- Vaccine and Infectious Disease Institute, University of Antwerp, Belgium
| | - Viggo Van Tendeloo
- Laboratory of Experimental Hematology, Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - Philippe Beutels
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Antwerp Center for Translational Immunology and Virology (ACTIV), Antwerp, Belgium
- Centre for Health Economics Research and Modeling Infectious Diseases (CHERMID), University of Antwerp, Belgium
| | | | - Erika Vlieghe
- Department of General Internal Medicine, Infectious Diseases and Tropical Medicine, University Hospital Antwerp, Belgium
| | - Benson Ogunjimi
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
- Antwerp Center for Translational Immunology and Virology (ACTIV), Antwerp, Belgium
- Centre for Health Economics Research and Modeling Infectious Diseases (CHERMID), University of Antwerp, Belgium
- Vaccine and Infectious Disease Institute, University of Antwerp, Belgium
- Department of Paediatrics, Antwerp University Hospital, Antwerp, Belgium
| | - Kris Laukens
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
| | - Pieter Meysman
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
| | - Koen Vercauteren
- Clinical Virology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
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3
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Kim IS, Kang CK, Lee SJ, Lee CH, Kim M, Seo C, Kim G, Lee S, Park KS, Chang E, Jung J, Song KH, Choe PG, Park WB, Kim ES, Bin Kim H, Kim NJ, Oh MD, Lee JE, Shin HM, Kim HR. Tracking antigen-specific TCR clonotypes in SARS-CoV-2 infection reveals distinct severity trajectories. J Med Virol 2023; 95:e29199. [PMID: 37916645 DOI: 10.1002/jmv.29199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/13/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023]
Abstract
Despite the importance of antigen-specific T cells in infectious disease, characterizing and tracking clonally amplified T cells during the progression of a patient's symptoms remain unclear. Here, we performed a longitudinal, in-depth single-cell multiomics analysis of samples from asymptomatic, mild, usual severe, and delayed severe patients of SARS-CoV-2 infection. Our in-depth analysis revealed that hyperactive or improper T-cell responses were more aggressive in delayed severe patients. Interestingly, tracking of antigen-specific T-cell receptor (TCR) clonotypes along the developmental trajectory indicated an attenuation in functional T cells upon severity. In addition, increased glycolysis and interleukin-6 signaling in the cytotoxic T cells were markedly distinct in delayed severe patients compared to usual severe patients, particularly in the middle and late stages of infection. Tracking B-cell receptor clonotypes also revealed distinct transitions and somatic hypermutations within B cells across different levels of disease severity. Our results suggest that single-cell TCR clonotype tracking can distinguish the severity of patients through immunological hallmarks, leading to a better understanding of the severity differences in and improving the management of infectious diseases by analyzing the dynamics of immune responses over time.
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Affiliation(s)
- Ik Soo Kim
- Department of Microbiology, Gachon University College of Medicine, Incheon, South Korea
| | - Chang Kyung Kang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | | | - Chang-Han Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- Department of Pharmacology, Seoul National University College of Medicine, Seoul, South Korea
- BK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, South Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
- Wide River Institute of Immunology, Seoul National University, Hongcheon, South Korea
| | - Minji Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- BK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, South Korea
- Department of Anatomy & Cell Biology, Seoul National University College of Medicine, Seoul, South Korea
| | | | - Gwanghun Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- BK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, South Korea
- Department of Anatomy & Cell Biology, Seoul National University College of Medicine, Seoul, South Korea
| | - Soojin Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- BK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, South Korea
- Department of Anatomy & Cell Biology, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyoung Sun Park
- Wide River Institute of Immunology, Seoul National University, Hongcheon, South Korea
| | - Euijin Chang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Jongtak Jung
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Kyoung-Ho Song
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Pyoeng Gyun Choe
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Wan Beom Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Eu Suk Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Hong Bin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Nam Joong Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Myoung-Don Oh
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | | | - Hyun Mu Shin
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- BK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, South Korea
- Wide River Institute of Immunology, Seoul National University, Hongcheon, South Korea
- Medical Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Hang-Rae Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- BK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, South Korea
- Wide River Institute of Immunology, Seoul National University, Hongcheon, South Korea
- Department of Anatomy & Cell Biology, Seoul National University College of Medicine, Seoul, South Korea
- Medical Research Institute, Seoul National University College of Medicine, Seoul, South Korea
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4
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Quan Z, Qi A, Ma S, Li Y, Chen H, Yu X, Dong T, Li K, Qiu Y. Altered T-cell receptor β repertoire in adults with SARS CoV-2 inactivated vaccine of BBIBP-CorV. Mol Immunol 2023; 162:54-63. [PMID: 37647774 DOI: 10.1016/j.molimm.2023.08.005] [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: 04/19/2023] [Revised: 08/03/2023] [Accepted: 08/20/2023] [Indexed: 09/01/2023]
Abstract
OBJECTIVE Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the prolonged and widespread epidemic of coronavirus disease 2019 (COVID-19). The inactivated BBIBP-CorV vaccine has shown safety, efficacy and immunogenicity against COVID-19 in in-vitro studies and clinical trials. However, the characteristics changes of the TCRβ repertoire in patients receiving BBIBP-CorV remain unclear. METHODS TCRβ repertoire difference were analyzed between 54 uninfected subjects who received a third dose of the enhanced BBIBP-CorV vaccine and the 16 healthy donors who did not receive the vaccine and 44 COVID-19 patients with different courses of disease (asymptomatic, symptomatic and convalescent). Furthermore, antibody response, anti-inflammatory and pro-inflammatory cytokines also were examined. RESULTS We found that the third dose inactivated coronavirus vaccine induced widespread changes including the increased TCRβ repertoire diversity, a much shorter CDR3 length and high usage of V-J genes segments. Meanwhile, the vaccine-responding clones were also predicted. The results of the antibody response showed that 90.7 % of the vaccinated individuals were positive for NAb seroconversion and 88.9 % for IgG antibody about 60 days after the third dose. The concentration of IL-2 increased significantly compared to baseline inoculation. CONCLUSION Altered TCRβ repertoire in adults with SARS CoV-2 inactivated vaccine of BBIBP-CorV clarified the specific immunity induced by inactivated vaccines. Our research provides insights into the adaptive immune response induced by the new inactivated SARS-CoV-2 vaccine and strengthens the development of immunotherapy.
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Affiliation(s)
- Zhihui Quan
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China; Translational Medicine Institute of Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China
| | - Aihong Qi
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China
| | - Shuwen Ma
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China
| | - Yanling Li
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China; Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China
| | - Hui Chen
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China; Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China
| | - Xue Yu
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China; Translational Medicine Institute of Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China
| | - Tingyan Dong
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China; Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China.
| | - Kui Li
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China; Translational Medicine Institute of Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China.
| | - Yurong Qiu
- Guangzhou Huayin Medical Laboratory Center Co., Ltd, Guangzhou, China; Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China.
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5
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Frank ML, Lu K, Erdogan C, Han Y, Hu J, Wang T, Heymach JV, Zhang J, Reuben A. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy. Clin Cancer Res 2023; 29:994-1008. [PMID: 36413126 PMCID: PMC10011887 DOI: 10.1158/1078-0432.ccr-22-2469] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/07/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2022]
Abstract
T cells are integral components of the adaptive immune system, and their responses are mediated by unique T-cell receptors (TCR) that recognize specific antigens from a variety of biological contexts. As a result, analyzing the T-cell repertoire offers a better understanding of immune responses and of diseases like cancer. Next-generation sequencing technologies have greatly enabled the high-throughput analysis of the TCR repertoire. On the basis of our extensive experience in the field from the past decade, we provide an overview of TCR sequencing, from the initial library preparation steps to sequencing and analysis methods and finally to functional validation techniques. With regards to data analysis, we detail important TCR repertoire metrics and present several computational tools for predicting antigen specificity. Finally, we highlight important applications of TCR sequencing and repertoire analysis to understanding tumor biology and developing cancer immunotherapies.
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Affiliation(s)
- Meredith L Frank
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
| | - Kaylene Lu
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Can Erdogan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Rice University, Houston, Texas
| | - Yi Han
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Jian Hu
- The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tao Wang
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas.,Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, Texas
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
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6
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Monkeypox infection: The past, present, and future. Int Immunopharmacol 2022; 113:109382. [PMID: 36330915 PMCID: PMC9617593 DOI: 10.1016/j.intimp.2022.109382] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/18/2022] [Accepted: 10/18/2022] [Indexed: 11/05/2022]
Abstract
Monkeypox is a zoonotic illness caused by the monkeypox virus (MPXV) that has a similar etiology to smallpox. The first case of monkeypox was reported in Western and Central Africa in 1971, and in 2003, there was an outbreak of monkeypox viruses outside Africa. According to the World Health Organization (WHO) and Center for Disease Control and Prevention (CDC), monkeypox is transmitted through direct contact with infected animals or persons exposed to infectious sores, scabs, or body fluids. Also, intimate contact between people during sex, kissing, cuddling, or touching parts of the body can result in the spreading of this disease. The use of the smallpox vaccine against monkeypox has several challenges and hence anti-virals such as cidofovir, brincidofovir, and tecovirimat have been used for the symptomatic relief of patients and reversing the lesion formation on the skin. Despite the recent outbreak of monkeypox most especially in hitherto non-endemic countries, there is still a lack of definitive treatment for monkeypox. In the present review, emphasis was focused on etiopathology, transmission, currently available therapeutic agents, and future targets that could be explored to halt the progression of monkeypox. From our review we can postulate that owing to the lack of a definitive cure to this reemerging disorder, there is a need for general awareness about the transmission as well as to develop appropriate diagnostic procedures, immunizations, and antiviral medication.
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Key Words
- monkeypox
- infection
- etiopathology
- prevention
- vaccines
- therapeutic targets
- abs, antibodies
- acip, advisory committee on immunization practices
- cdc, centers for disease control and prevention
- cev, cell-associated enveloped virus
- cfr, case fatality rate
- cpxv, cowpox virus
- drc, democratic republic of the congo
- eev, extracellular enveloped virus
- hsv, herpes simplex virus
- iev, intracellular enveloped virus
- ifn-γ, interferon
- imv, internal mature virus
- mhc, major histocompatibility complex
- mpxv, human monkeypox virus
- nk, natural killer
- opxvs, orthopoxviruses
- pcr, polymerase chain reaction
- pfu, plaque-forming units
- ppe, personal protective equipment
- prep, pre-exposure prophylaxis
- th, t-helper
- tlrs, toll-like receptors
- tnf-α, tumor necrotic factor
- vacv, vaccinia virus
- varv, smallpox virus
- varv, variola major virus
- vzv, varicella-zoster virus
- who, world health organization
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7
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Teng YHF, Quah HS, Suteja L, Dias JML, Mupo A, Bashford-Rogers RJM, Vassiliou GS, Chua MLK, Tan DSW, Lim DWT, Iyer NG. Analysis of T cell receptor clonotypes in tumor microenvironment identifies shared cancer-type-specific signatures. Cancer Immunol Immunother 2022; 71:989-998. [PMID: 34580764 PMCID: PMC8476067 DOI: 10.1007/s00262-021-03047-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 08/25/2021] [Indexed: 12/02/2022]
Abstract
Despite the conventional view that a truly random V(D)J recombination process should generate a highly diverse immune repertoire, emerging reports suggest that there is a certain bias toward the generation of shared/public immune receptor chains. These studies were performed in viral diseases where public T cell receptors (TCR) appear to confer better protective responses. Selective pressures generating common TCR clonotypes are currently not well understood, but it is believed that they confer a growth advantage. As very little is known about public TCR clonotypes in cancer, here we set out to determine the extent of shared TCR clonotypes in the intra-tumor microenvironments of virus- and non-virus-driven head and neck cancers using TCR sequencing. We report that tumor-infiltrating T cell clonotypes were indeed shared across individuals with the same cancer type, where the majority of shared sequences were specific to the cancer type (i.e., viral versus non-viral). These shared clonotypes were not particularly enriched in EBV-associated nasopharynx cancer but, in both cancers, exhibited distinct characteristics, namely shorter CDR3 lengths, restricted V- and J-gene usages, and also demonstrated convergent V(D)J recombination. Many of these shared TCRs were expressed in patients with a shared HLA background. Pattern recognition of CDR3 amino acid sequences revealed strong convergence to specific pattern motifs, and these motifs were uniquely found to each cancer type. This suggests that they may be enriched for specificity to common antigens found in the tumor microenvironment of different cancers. The identification of shared TCRs in infiltrating tumor T cells not only adds to our understanding of the tumor-adaptive immune recognition but could also serve as disease-specific biomarkers and guide the development of future immunotherapies.
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Affiliation(s)
- Yvonne H. F. Teng
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Hong Sheng Quah
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Lisda Suteja
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - João M. L. Dias
- Hutchison/MRC Research Centre, MRC Cancer Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ UK
| | | | | | - George S. Vassiliou
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge, CB2 0AW UK
| | - Melvin L. K. Chua
- Duke-NUS Medical School, Singapore, Singapore
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Daniel S. W. Tan
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Darren W. T. Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Institute of Molecular and Cell Biology, A-STAR, Singapore, Singapore
| | - N. Gopalakrishna Iyer
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Department of Head and Neck Surgery, National Cancer Centre Singapore, Singapore, Singapore
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8
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Rickenbach C, Gericke C. Specificity of Adaptive Immune Responses in Central Nervous System Health, Aging and Diseases. Front Neurosci 2022; 15:806260. [PMID: 35126045 PMCID: PMC8812614 DOI: 10.3389/fnins.2021.806260] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 12/29/2021] [Indexed: 12/25/2022] Open
Abstract
The field of neuroimmunology endorses the involvement of the adaptive immune system in central nervous system (CNS) health, disease, and aging. While immune cell trafficking into the CNS is highly regulated, small numbers of antigen-experienced lymphocytes can still enter the cerebrospinal fluid (CSF)-filled compartments for regular immune surveillance under homeostatic conditions. Meningeal lymphatics facilitate drainage of brain-derived antigens from the CSF to deep cervical lymph nodes to prime potential adaptive immune responses. During aging and CNS disorders, brain barriers and meningeal lymphatic functions are impaired, and immune cell trafficking and antigen efflux are altered. In this context, alterations in the immune cell repertoire of blood and CSF and T and B cells primed against CNS-derived autoantigens have been observed in various CNS disorders. However, for many diseases, a causal relationship between observed immune responses and neuropathological findings is lacking. Here, we review recent discoveries about the association between the adaptive immune system and CNS disorders such as autoimmune neuroinflammatory and neurodegenerative diseases. We focus on the current challenges in identifying specific T cell epitopes in CNS diseases and discuss the potential implications for future diagnostic and treatment options.
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Affiliation(s)
- Chiara Rickenbach
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
| | - Christoph Gericke
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
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9
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Marquez S, Babrak L, Greiff V, Hoehn KB, Lees WD, Luning Prak ET, Miho E, Rosenfeld AM, Schramm CA, Stervbo U. Adaptive Immune Receptor Repertoire (AIRR) Community Guide to Repertoire Analysis. Methods Mol Biol 2022; 2453:297-316. [PMID: 35622333 PMCID: PMC9761518 DOI: 10.1007/978-1-0716-2115-8_17] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Adaptive immune receptor repertoires (AIRRs) are rich with information that can be mined for insights into the workings of the immune system. Gene usage, CDR3 properties, clonal lineage structure, and sequence diversity are all capable of revealing the dynamic immune response to perturbation by disease, vaccination, or other interventions. Here we focus on a conceptual introduction to the many aspects of repertoire analysis and orient the reader toward the uses and advantages of each. Along the way, we note some of the many software tools that have been developed for these investigations and link the ideas discussed to chapters on methods provided elsewhere in this volume.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Chaim A Schramm
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
| | - Ulrik Stervbo
- Center for Translational Medicine, Immunology, and Transplantation, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany. .,Immundiagnostik, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany.
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10
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Mayer-Blackwell K, Schattgen S, Cohen-Lavi L, Crawford JC, Souquette A, Gaevert JA, Hertz T, Thomas PG, Bradley P, Fiore-Gartland A. TCR meta-clonotypes for biomarker discovery with tcrdist3 enabled identification of public, HLA-restricted clusters of SARS-CoV-2 TCRs. eLife 2021; 10:e68605. [PMID: 34845983 PMCID: PMC8631793 DOI: 10.7554/elife.68605] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 11/11/2021] [Indexed: 01/04/2023] Open
Abstract
T-cell receptors (TCRs) encode clinically valuable information that reflects prior antigen exposure and potential future response. However, despite advances in deep repertoire sequencing, enormous TCR diversity complicates the use of TCR clonotypes as clinical biomarkers. We propose a new framework that leverages experimentally inferred antigen-associated TCRs to form meta-clonotypes - groups of biochemically similar TCRs - that can be used to robustly quantify functionally similar TCRs in bulk repertoires across individuals. We apply the framework to TCR data from COVID-19 patients, generating 1831 public TCR meta-clonotypes from the SARS-CoV-2 antigen-associated TCRs that have strong evidence of restriction to patients with a specific human leukocyte antigen (HLA) genotype. Applied to independent cohorts, meta-clonotypes targeting these specific epitopes were more frequently detected in bulk repertoires compared to exact amino acid matches, and 59.7% (1093/1831) were more abundant among COVID-19 patients that expressed the putative restricting HLA allele (false discovery rate [FDR]<0.01), demonstrating the potential utility of meta-clonotypes as antigen-specific features for biomarker development. To enable further applications, we developed an open-source software package, tcrdist3, that implements this framework and facilitates flexible workflows for distance-based TCR repertoire analysis.
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Affiliation(s)
- Koshlan Mayer-Blackwell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Stefan Schattgen
- Department of Immunology, St Jude Children's Research HospitalMemphisUnited States
| | - Liel Cohen-Lavi
- Department of Industrial Engineering and Management, Ben-Gurion University of the NegevBe'er ShevaIsrael
| | - Jeremy C Crawford
- Department of Immunology, St Jude Children's Research HospitalMemphisUnited States
| | | | - Jessica A Gaevert
- Department of Immunology, St Jude Children's Research HospitalMemphisUnited States
| | - Tomer Hertz
- Shraga Segal Department of Microbiology and Immunology, Ben-Gurion University of the NegevBe'er ShevaUnited States
| | - Paul G Thomas
- St Jude Children's Research HospitalMemphisUnited States
| | - Philip Bradley
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Andrew Fiore-Gartland
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
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11
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Zhang J, Wang Y, Yu H, Chen G, Wang L, Liu F, Yuan J, Ni Q, Xia X, Wan Y. Mapping the spatial distribution of T cells in repertoire dimension. Mol Immunol 2021; 138:161-171. [PMID: 34428621 DOI: 10.1016/j.molimm.2021.08.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/01/2021] [Accepted: 08/15/2021] [Indexed: 01/13/2023]
Abstract
T cells mediate adaptive immunity in diverse anatomic compartments through recognition of specific antigens via unique T cell receptor (TCR) structures. However, little is known about the spatial distribution of an organism's TCR repertoire. Here, using high-throughput TCR sequencing (TCRseq), we investigated the TCR repertoires of sixteen tissues in healthy C57B/L6 mice. We found that TCR repertoires generally classified into three categories (lymph nodes, non-lymph node tissues and small intestine) based on sequence similarity. Clonal distribution and diversity analyses showed that small intestine compartment had a more skewed repertoire as compared to lymph nodes and non-lymph node tissues. However, analysis of TRBV and TRBJ gene usage across tissue compartments, as well as comparison of CDR3 length distributions, showed no significant tissue-dependent differences. Interestingly, analysis of clonotype sharing between mice showed that although non-redundant public clonotypes were found more easily in lymph nodes, small intestinal CD4 + T cells harbored more abundant public clonotypes. These findings under healthy physiological conditions offer an important reference dataset, which may contribute to our ability to better manipulate T cell responses against infection and vaccination.
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Affiliation(s)
- Junying Zhang
- School of Pharmaceutical Sciences and Innovative Drug Research Center, Chongqing University, Chongqing, 401331, China
| | - Yu Wang
- Zunyi Medical University, Zunyi, 563003, China
| | - Haili Yu
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China
| | - Gang Chen
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China
| | - Liting Wang
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China
| | - Fang Liu
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China
| | - Jiangbei Yuan
- Hepato-Pancreato-Biliary Surgery, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Guangdong Province, 518036, China
| | - Qingshan Ni
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China.
| | - Xuefeng Xia
- School of Pharmaceutical Sciences and Innovative Drug Research Center, Chongqing University, Chongqing, 401331, China.
| | - Ying Wan
- Biomedical Analysis Center, Army Medical University, Chongqing, 400038, China; Chongqing Key Laboratory of Cytomics, Chongqing, 400038, China; School of Big Data & Software Engineering, Chongqing University, Chongqing, 401331, China.
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12
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Mayer-Blackwell K, Schattgen S, Cohen-Lavi L, Crawford JC, Souquette A, Gaevert JA, Hertz T, Thomas PG, Bradley P, Fiore-Gartland A. TCR meta-clonotypes for biomarker discovery with tcrdist3: identification of public, HLA-restricted SARS-CoV-2 associated TCR features. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021. [PMID: 33398288 PMCID: PMC7781332 DOI: 10.1101/2020.12.24.424260] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
As the mechanistic basis of adaptive cellular antigen recognition, T cell receptors (TCRs) encode clinically valuable information that reflects prior antigen exposure and potential future response. However, despite advances in deep repertoire sequencing, enormous TCR diversity complicates the use of TCR clonotypes as clinical biomarkers. We propose a new framework that leverages antigen-enriched repertoires to form meta-clonotypes - groups of biochemically similar TCRs - that can be used to robustly identify and quantify functionally similar TCRs in bulk repertoires. We apply the framework to TCR data from COVID-19 patients, generating 1831 public TCR meta-clonotypes from the 17 SARS-CoV-2 antigen-enriched repertoires with the strongest evidence of HLA-restriction. Applied to independent cohorts, meta-clonotypes targeting these specific epitopes were more frequently detected in bulk repertoires compared to exact amino acid matches, and 59.7% (1093/1831) were more abundant among COVID-19 patients that expressed the putative restricting HLA allele (FDR < 0.01), demonstrating the potential utility of meta-clonotypes as antigen-specific features for biomarker development. To enable further applications, we developed an open-source software package, tcrdist3, that implements this framework and facilitates flexible workflows for distance-based TCR repertoire analysis.
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Affiliation(s)
- Koshlan Mayer-Blackwell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Stefan Schattgen
- Immunology Department, St. Jude Children's Research Hospital, Memphis, USA
| | - Liel Cohen-Lavi
- Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.,National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Be'er-Sheva, Israel
| | | | - Aisha Souquette
- Immunology Department, St. Jude Children's Research Hospital, Memphis, USA
| | - Jessica A Gaevert
- Immunology Department, St. Jude Children's Research Hospital, Memphis, USA.,St. Jude Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, USA
| | - Tomer Hertz
- Shraga Segal Department of Microbiology and Immunology, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Paul G Thomas
- Immunology Department, St. Jude Children's Research Hospital, Memphis, USA
| | - Philip Bradley
- Public Health Science Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Andrew Fiore-Gartland
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, USA
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13
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Granadier D, Iovino L, Kinsella S, Dudakov JA. Dynamics of thymus function and T cell receptor repertoire breadth in health and disease. Semin Immunopathol 2021; 43:119-134. [PMID: 33608819 PMCID: PMC7894242 DOI: 10.1007/s00281-021-00840-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 01/12/2021] [Indexed: 12/26/2022]
Abstract
T cell recognition of unknown antigens relies on the tremendous diversity of the T cell receptor (TCR) repertoire; generation of which can only occur in the thymus. TCR repertoire breadth is thus critical for not only coordinating the adaptive response against pathogens but also for mounting a response against malignancies. However, thymic function is exquisitely sensitive to negative stimuli, which can come in the form of acute insult, such as that caused by stress, infection, or common cancer therapies; or chronic damage such as the progressive decline in thymic function with age. Whether it be prolonged T cell deficiency after hematopoietic cell transplantation (HCT) or constriction in the breadth of the peripheral TCR repertoire with age; these insults result in poor adaptive immune responses. In this review, we will discuss the importance of thymic function for generation of the TCR repertoire and how acute and chronic thymic damage influences immune health. We will also discuss methods that are used to measure thymic function in patients and strategies that have been developed to boost thymic function.
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Affiliation(s)
- David Granadier
- Program in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Immunotherapy Integrated Research Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
- Department of Molecular and Cellular Biology, University of Washington, Seattle, WA, USA
| | - Lorenzo Iovino
- Program in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Immunotherapy Integrated Research Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sinéad Kinsella
- Program in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Immunotherapy Integrated Research Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jarrod A Dudakov
- Program in Immunology, Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Immunotherapy Integrated Research Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Department of Immunology, University of Washington, Seattle, WA, USA.
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14
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Rajeh A, Wolf K, Schiebout C, Sait N, Kosfeld T, DiPaolo RJ, Ahn TH. iCAT: diagnostic assessment tool of immunological history using high-throughput T-cell receptor sequencing. F1000Res 2021; 10:65. [PMID: 34316355 PMCID: PMC8276190 DOI: 10.12688/f1000research.27214.2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/10/2021] [Indexed: 11/20/2022] Open
Abstract
The pathogen exposure history of an individual is recorded in their T-cell repertoire and can be accessed through the study of T-cell receptors (TCRs) if the tools to identify them were available. For each T-cell, the TCR loci undergoes genetic rearrangement that creates a unique DNA sequence. In theory these unique sequences can be used as biomarkers for tracking T-cell responses and cataloging immunological history. We developed the immune Cell Analysis Tool (iCAT), an R software package that analyzes TCR sequencing data from exposed (positive) and unexposed (negative) samples to identify TCR sequences statistically associated with positive samples. The presence and absence of associated sequences in samples trains a classifier to diagnose pathogen-specific exposure. We demonstrate the high accuracy of iCAT by testing on three TCR sequencing datasets. First, iCAT successfully diagnosed smallpox vaccinated versus naïve samples in an independent cohort of mice with 95% accuracy. Second, iCAT displayed 100% accuracy classifying naïve and monkeypox vaccinated mice. Finally, we demonstrate the use of iCAT on human samples before and after exposure to SARS-CoV-2, the virus behind the COVID-19 global pandemic. We were able to correctly classify the exposed samples with perfect accuracy. These experimental results show that iCAT capitalizes on the power of TCR sequencing to simplify infection diagnostics. iCAT provides the option of a graphical, user-friendly interface on top of usual R interface allowing it to reach a wider audience.
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Affiliation(s)
- Ahmad Rajeh
- Program in Bioinformatics and Computational Biology, Saint Louis University, St. Louis, MO, 63103, USA
| | - Kyle Wolf
- Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA
| | - Courtney Schiebout
- Program in Bioinformatics and Computational Biology, Saint Louis University, St. Louis, MO, 63103, USA
| | - Nabeel Sait
- Computer Science, Saint Louis University, St. Louis, MO, 63103, USA
| | - Tim Kosfeld
- Computer Science, Saint Louis University, St. Louis, MO, 63103, USA
| | - Richard J DiPaolo
- Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA
| | - Tae-Hyuk Ahn
- Program in Bioinformatics and Computational Biology, Saint Louis University, St. Louis, MO, 63103, USA.,Computer Science, Saint Louis University, St. Louis, MO, 63103, USA
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15
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Dupic T, Bensouda Koraichi M, Minervina AA, Pogorelyy MV, Mora T, Walczak AM. Immune fingerprinting through repertoire similarity. PLoS Genet 2021; 17:e1009301. [PMID: 33395405 PMCID: PMC7808657 DOI: 10.1371/journal.pgen.1009301] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 01/14/2021] [Accepted: 12/07/2020] [Indexed: 11/18/2022] Open
Abstract
Immune repertoires provide a unique fingerprint reflecting the immune history of individuals, with potential applications in precision medicine. However, the question of how personal that information is and how it can be used to identify individuals has not been explored. Here, we show that individuals can be uniquely identified from repertoires of just a few thousands lymphocytes. We present "Immprint," a classifier using an information-theoretic measure of repertoire similarity to distinguish pairs of repertoire samples coming from the same versus different individuals. Using published T-cell receptor repertoires and statistical modeling, we tested its ability to identify individuals with great accuracy, including identical twins, by computing false positive and false negative rates < 10-6 from samples composed of 10,000 T-cells. We verified through longitudinal datasets that the method is robust to acute infections and that the immune fingerprint is stable for at least three years. These results emphasize the private and personal nature of repertoire data.
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Affiliation(s)
- Thomas Dupic
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
- Laboratoire de physique de l’École Normale Supérieure, CNRS, Sorbonne Université, Université de Paris, and École normale supérieure (PSL), Paris, France
| | - Meriem Bensouda Koraichi
- Laboratoire de physique de l’École Normale Supérieure, CNRS, Sorbonne Université, Université de Paris, and École normale supérieure (PSL), Paris, France
| | | | - Mikhail V. Pogorelyy
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - Thierry Mora
- Laboratoire de physique de l’École Normale Supérieure, CNRS, Sorbonne Université, Université de Paris, and École normale supérieure (PSL), Paris, France
- * E-mail: (TM); (AMW)
| | - Aleksandra M. Walczak
- Laboratoire de physique de l’École Normale Supérieure, CNRS, Sorbonne Université, Université de Paris, and École normale supérieure (PSL), Paris, France
- * E-mail: (TM); (AMW)
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16
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Diagnostic differentiation of Zika and dengue virus exposure by analyzing T cell receptor sequences from peripheral blood of infected HLA-A2 transgenic mice. PLoS Negl Trop Dis 2020; 14:e0008896. [PMID: 33270635 PMCID: PMC7738164 DOI: 10.1371/journal.pntd.0008896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 12/15/2020] [Accepted: 10/15/2020] [Indexed: 11/19/2022] Open
Abstract
Zika virus (ZIKV) is a significant global health threat due to its potential for rapid emergence and association with severe congenital malformations during infection in pregnancy. Despite the urgent need, accurate diagnosis of ZIKV infection is still a major hurdle that must be overcome. Contributing to the inaccuracy of most serologically-based diagnostic assays for ZIKV, is the substantial geographic and antigenic overlap with other flaviviruses, including the four serotypes of dengue virus (DENV). Within this study, we have utilized a novel T cell receptor (TCR) sequencing platform to distinguish between ZIKV and DENV infections. Using high-throughput TCR sequencing of lymphocytes isolated from DENV and ZIKV infected mice, we were able to develop an algorithm which could identify virus-associated TCR sequences uniquely associated with either a prior ZIKV or DENV infection in mice. Using this algorithm, we were then able to separate mice that had been exposed to ZIKV or DENV infection with 97% accuracy. Overall this study serves as a proof-of-principle that T cell receptor sequencing can be used as a diagnostic tool capable of distinguishing between closely related viruses. Our results demonstrate the potential for this innovative platform to be used to accurately diagnose Zika virus infection and potentially the next emerging pathogen(s). Diagnostic differentiation between dengue virus and Zika virus infections is a challenge due to serological cross-reactivity. In this study, we used a novel T cell receptor sequencing platform to identify T cell receptor sequences significantly associated with either dengue or Zika virus infection in HLA-A2 transgenic mice. These libraries were used to computationally train diagnostic classifiers which were capable of distinguishing between dengue and Zika virus in independent cohorts of infected mice.
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17
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Smith NL, Nahrendorf W, Sutherland C, Mooney JP, Thompson J, Spence PJ, Cowan GJM. A Conserved TCRβ Signature Dominates a Highly Polyclonal T-Cell Expansion During the Acute Phase of a Murine Malaria Infection. Front Immunol 2020; 11:587756. [PMID: 33329568 PMCID: PMC7719809 DOI: 10.3389/fimmu.2020.587756] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/27/2020] [Indexed: 01/31/2023] Open
Abstract
CD4+ αβ T-cells are key mediators of the immune response to a first Plasmodium infection, undergoing extensive activation and splenic expansion during the acute phase of an infection. However, the clonality and clonal composition of this expansion has not previously been described. Using a comparative infection model, we sequenced the splenic CD4+ T-cell receptor repertoires generated over the time-course of a Plasmodium chabaudi infection. We show through repeat replicate experiments, single-cell RNA-seq, and analyses of independent RNA-seq data, that following a first infection - within a highly polyclonal expansion - T-effector repertoires are consistently dominated by TRBV3 gene usage. Clustering by sequence similarity, we find the same dominant clonal signature is expanded across replicates in the acute phase of an infection, revealing a conserved pathogen-specific T-cell response that is consistently a hallmark of a first infection, but not expanded upon re-challenge. Determining the host or parasite factors driving this conserved response may uncover novel immune targets for malaria therapeutic purposes.
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Affiliation(s)
- Natasha L. Smith
- Institute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
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18
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Sauer K, Harris T. An Effective COVID-19 Vaccine Needs to Engage T Cells. Front Immunol 2020; 11:581807. [PMID: 33117391 PMCID: PMC7549399 DOI: 10.3389/fimmu.2020.581807] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 08/27/2020] [Indexed: 12/28/2022] Open
Affiliation(s)
- Karsten Sauer
- Repertoire Immune Medicines, Cambridge, MA, United States
| | - Tim Harris
- Repertoire Immune Medicines, Cambridge, MA, United States
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19
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Kumar A, Suryadevara NC, Wolf KJ, Wilson JT, Di Paolo RJ, Brien JD, Joyce S. Heterotypic immunity against vaccinia virus in an HLA-B*07:02 transgenic mousepox infection model. Sci Rep 2020; 10:13167. [PMID: 32759969 PMCID: PMC7406653 DOI: 10.1038/s41598-020-69897-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 07/13/2020] [Indexed: 12/25/2022] Open
Abstract
Vaccination with vaccinia virus (VACV) elicits heterotypic immunity to smallpox, monkeypox, and mousepox, the mechanistic basis for which is poorly understood. It is generally assumed that heterotypic immunity arises from the presentation of a wide array of VACV-derived, CD8+ T cell epitopes that share homology with other poxviruses. Herein this assumption was tested using a large panel of VACV-derived peptides presented by HLA-B*07:02 (B7.2) molecules in a mousepox/ectromelia virus (ECTV)-infection, B7.2 transgenic mouse model. Most dominant epitopes recognized by ECTV- and VACV-reactive CD8+ T cells overlapped significantly without altering immunodominance hierarchy. Further, several epitopes recognized by ECTV-reactive CD8+ T cells were not recognized by VACV-reactive CD8+ T cells, and vice versa. In one instance, the lack of recognition owed to a N72K variation in the ECTV C4R70–78 variant of the dominant VACV B8R70–78 epitope. C4R70–78 does not bind to B7.2 and, hence, it was neither immunogenic nor antigenic. These findings provide a mechanistic basis for VACV vaccination-induced heterotypic immunity which can protect against Variola and Monkeypox disease. The understanding of how cross-reactive responses develop is essential for the rational design of a subunit-based vaccine that would be safe, and effectively protect against heterologous infection.
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Affiliation(s)
- Amrendra Kumar
- Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN, USA.,Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Naveen Chandra Suryadevara
- Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN, USA.,Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Centre, Nashville, TN, USA
| | - Kyle J Wolf
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - John T Wilson
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
| | - Richard J Di Paolo
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - James D Brien
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, USA
| | - Sebastian Joyce
- Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN, USA. .,Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Centre, Nashville, TN, USA.
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20
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Gutierrez L, Beckford J, Alachkar H. Deciphering the TCR Repertoire to Solve the COVID-19 Mystery. Trends Pharmacol Sci 2020; 41:518-530. [PMID: 32576386 PMCID: PMC7305739 DOI: 10.1016/j.tips.2020.06.001] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/02/2020] [Accepted: 06/02/2020] [Indexed: 01/08/2023]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected several millions and killed more than quarter of a million worldwide to date. Important questions have remained unanswered: why some patients develop severe disease, while others do not; and what roles do genetic variabilities play in the individual immune response to this viral infection. Here, we discuss the critical role T cells play in the orchestration of the antiviral response underlying the pathogenesis of the disease, COVID-19. We highlight the scientific rationale for comprehensive and longitudinal TCR analyses in COVID-19 and reason that analyzing TCR repertoire in COVID-19 patients would reveal important findings that may explain the outcome disparity observed in these patients. Finally, we provide a framework describing the different strategies, the advantages, and the challenges involved in obtaining useful TCR repertoire data to advance our fight against COVID-19.
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Affiliation(s)
- Lucas Gutierrez
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089-9121, USA
| | - John Beckford
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089-9121, USA
| | - Houda Alachkar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089-9121, USA.
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