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Uhlemann H, Epp K, Klesse C, Link-Rachner CS, Surendranath V, Günther UP, Schetelig J, Heidenreich F. Shape of the art: TCR-repertoire after allogeneic hematopoietic cell transplantation. Best Pract Res Clin Haematol 2024; 37:101558. [PMID: 39098804 DOI: 10.1016/j.beha.2024.101558] [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: 12/30/2023] [Revised: 05/03/2024] [Accepted: 06/27/2024] [Indexed: 08/06/2024]
Abstract
The human adaptive immune repertoire is characterized by specificity and diversity to provide immunity against past and future tasks. Such tasks are mainly infections but also malignant transformations of cells. With its multiple lines of defense, the human immune system contains both, rapid reaction forces and the potential to capture, disassemble and analyze strange structures in order to teach the adaptive immune system and mount a specific immune response. Prevention and mitigation of autoimmunity is of equal importance. In the context of allogeneic hematopoietic cell transplantation (HCT) specific challenges exist with the transfer of cells from the adapted donor immune system to the immunosuppressed recipient. Those challenges are immunogenetic disparity between donor and host, reconstitution of immunity early after HCT by expansion of mature immune effector cells, and impaired thymic function, if the recipient is an adult (as it is the case in most HCTs). The possibility to characterize the adaptive immune repertoire by massively parallel sequencing of T-cell receptor gene rearrangements allows for a much more detailed characterization of the T-cell repertoire. In addition, high-dimensional characterization of immune effector cells based on their immunophenotype and single cell RNA sequencing allow for much deeper insights in adaptive immune responses. We here review, existing - still incomplete - information on immune reconstitution after allogeneic HCT. Building on the technological advances much deeper insights into immune recovery after HCT and adaptive immune responses and can be expected in the coming years.
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Affiliation(s)
- Heike Uhlemann
- University Hospital Carl Gustav Carus, Dresden, Germany; DKMS Group gGmbH, Clinical Trials Unit, Dresden, Germany.
| | - Katharina Epp
- University Hospital Carl Gustav Carus, Dresden, Germany
| | | | | | | | | | - Johannes Schetelig
- University Hospital Carl Gustav Carus, Dresden, Germany; DKMS Group gGmbH, Clinical Trials Unit, Dresden, Germany
| | - Falk Heidenreich
- University Hospital Carl Gustav Carus, Dresden, Germany; DKMS Group gGmbH, Clinical Trials Unit, Dresden, Germany
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2
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Liang H, Gong S, Gui G, Wang H, Jiang L, Li X, Fan J. Secretion of IFN-γ by specific T cells in HCMV infection. Heliyon 2024; 10:e28177. [PMID: 38533049 PMCID: PMC10963622 DOI: 10.1016/j.heliyon.2024.e28177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 03/13/2024] [Accepted: 03/13/2024] [Indexed: 03/28/2024] Open
Abstract
One major risk for recipients undergoing allogeneic hematopoietic stem cell transplants (allo-HSCTs) is infection with the human cytomegalovirus (HCMV). For HCMV treatment, it is especially crucial to be able to differentiate between recipients who are at high risk of reactivation and those who are not. In this study, HCMV-DNA was collected from 60 HLA-A*02 allo-HSCT recipients before and after transplantation. After transplantation, the release of interferon (IFN)-γ by T cells specific to HCMV was assessed using the enzyme-linked immunospot assay (ELISPOT). The results show that the median viral load (VL) was significantly higher in the HCMV persistent-infection group compared to the non-persistent-infection group (p = 0.002), and that the late-infection rate was considerably higher in the high-VL group compared to the low-VL group (p = 0.014). The uninfected group had a considerably higher median IFN-γ spot-forming cell (SFC) count than the persistent-infection group (p = 0.001), and IFN-γ SFC counts correlated negatively and linearly with VLs (r = -0.397, p = 0.002). The immune-response groups showed significantly difference in median VL (p = 0.018), and the high immune response group had a reduced late-infection rate than the no/low immune response groups (p = 0.049). Our study showed that allo-HSCT recipients with a high VL at an early transplantation stage were at high risk for late HCMV infection. Further HCMV reactivation can be prevented by HCMV-specific T cells secreting enough IFN-γ.
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Affiliation(s)
- Hanying Liang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, PR China
| | - Shengnan Gong
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, PR China
| | - Genyong Gui
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, PR China
| | - Huiqi Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, PR China
| | - Lili Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, PR China
| | - Xuejie Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, PR China
| | - Jun Fan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, PR China
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3
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Weng NP. Numbers and odds: TCR repertoire size and its age changes impacting on T cell functions. Semin Immunol 2023; 69:101810. [PMID: 37515916 PMCID: PMC10530048 DOI: 10.1016/j.smim.2023.101810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/31/2023]
Abstract
A vast array of αβ T cell receptors (TCRs) is generated during T cell development in the thymus through V(D)J recombination, which involves the rearrangement of multiple V, D, and J genes and the pairing of α and β chains. These diverse TCRs provide protection to the human body against a multitude of foreign pathogens and internal cancer cells. The entirety of TCRs present in an individual's T cells is referred to as the TCR repertoire. Despite an estimated 4 × 1011 T cells in the adult human body, the lower bound estimate for the TCR repertoire is 3.8 × 108. While the number of circulating T cells may slightly decrease with age, the changes in the diversity of the TCR repertoire is more apparent. Here, I review recent advancements in TCR repertoire studies, the methods used to measure it, how richness and diversity change as humans age, and some of the known consequences associated with these changes.
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MESH Headings
- Adult
- Humans
- T-Lymphocytes/metabolism
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/metabolism
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Affiliation(s)
- Nan-Ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA.
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4
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Potential of TCR sequencing in graft-versus-host disease. Bone Marrow Transplant 2023; 58:239-246. [PMID: 36477111 PMCID: PMC10005964 DOI: 10.1038/s41409-022-01885-2] [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: 03/22/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022]
Abstract
Graft-versus-host disease (GvHD) remains one of the major complications following allogeneic haematopoietic stem cell transplantation (allo-HSCT). GvHD can occur in almost every tissue, with the skin, liver, and intestines being the mainly affected organs. T cells are implicated in initiating GvHD. T cells identify a broad range of antigens and mediate the immune response through receptors on their surfaces (T cell receptors, TCRs). The composition of TCRs within a T cell population defines the TCR repertoire of an individual, and this repertoire represents exposure to self and non-self proteins. Monitoring the changes in the TCR repertoire using TCR sequencing can provide an indication of the dynamics of a T cell population. Monitoring the frequency and specificities of specific TCR clonotypes longitudinally in different conditions and specimens (peripheral blood, GvHD-affected tissue samples) can provide insights into factors modulating immune reactions following allogeneic transplantation and will help to understand the underlying mechanisms mediating GvHD. This review provides insights into current studies of the TCR repertoire in GvHD and potential future clinical implications of TCR sequencing.
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5
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Wong P, Cina DP, Sherwood KR, Fenninger F, Sapir-Pichhadze R, Polychronakos C, Lan J, Keown PA. Clinical application of immune repertoire sequencing in solid organ transplant. Front Immunol 2023; 14:1100479. [PMID: 36865546 PMCID: PMC9971933 DOI: 10.3389/fimmu.2023.1100479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/25/2023] [Indexed: 02/16/2023] Open
Abstract
Background Measurement of T cell receptor (TCR) or B cell receptor (BCR) gene utilization may be valuable in monitoring the dynamic changes in donor-reactive clonal populations following transplantation and enabling adjustment in therapy to avoid the consequences of excess immune suppression or to prevent rejection with contingent graft damage and to indicate the development of tolerance. Objective We performed a review of current literature to examine research in immune repertoire sequencing in organ transplantation and to assess the feasibility of this technology for clinical application in immune monitoring. Methods We searched MEDLINE and PubMed Central for English-language studies published between 2010 and 2021 that examined T cell/B cell repertoire dynamics upon immune activation. Manual filtering of the search results was performed based on relevancy and predefined inclusion criteria. Data were extracted based on study and methodology characteristics. Results Our initial search yielded 1933 articles of which 37 met the inclusion criteria; 16 of these were kidney transplant studies (43%) and 21 were other or general transplantation studies (57%). The predominant method for repertoire characterization was sequencing the CDR3 region of the TCR β chain. Repertoires of transplant recipients were found to have decreased diversity in both rejectors and non-rejectors when compared to healthy controls. Rejectors and those with opportunistic infections were more likely to have clonal expansion in T or B cell populations. Mixed lymphocyte culture followed by TCR sequencing was used in 6 studies to define an alloreactive repertoire and in specialized transplant settings to track tolerance. Conclusion Methodological approaches to immune repertoire sequencing are becoming established and offer considerable potential as a novel clinical tool for pre- and post-transplant immune monitoring.
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Affiliation(s)
- Paaksum Wong
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Davide P Cina
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Karen R Sherwood
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Franz Fenninger
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ruth Sapir-Pichhadze
- Department of Medicine, Division of Nephrology, McGill University, Montreal, QC, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Constantin Polychronakos
- Department of Pediatrics, The Research Institute of the McGill University Health Centre and the Montreal Children's Hospital, Montreal, QC, Canada
| | - James Lan
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Paul A Keown
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
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6
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Bachireddy P, Azizi E, Burdziak C, Nguyen VN, Ennis CS, Maurer K, Park CY, Choo ZN, Li S, Gohil SH, Ruthen NG, Ge Z, Keskin DB, Cieri N, Livak KJ, Kim HT, Neuberg DS, Soiffer RJ, Ritz J, Alyea EP, Pe'er D, Wu CJ. Mapping the evolution of T cell states during response and resistance to adoptive cellular therapy. Cell Rep 2021; 37:109992. [PMID: 34758319 PMCID: PMC9035342 DOI: 10.1016/j.celrep.2021.109992] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 06/23/2021] [Accepted: 10/21/2021] [Indexed: 01/06/2023] Open
Abstract
To elucidate mechanisms by which T cells eliminate leukemia, we study donor lymphocyte infusion (DLI), an established immunotherapy for relapsed leukemia. We model T cell dynamics by integrating longitudinal, multimodal data from 94,517 bone marrow-derived single T cell transcriptomes in addition to chromatin accessibility and single T cell receptor sequencing from patients undergoing DLI. We find that responsive tumors are defined by enrichment of late-differentiated T cells before DLI and rapid, durable expansion of early differentiated T cells after treatment, highly similar to "terminal" and "precursor" exhausted subsets, respectively. Resistance, in contrast, is defined by heterogeneous T cell dysfunction. Surprisingly, early differentiated T cells in responders mainly originate from pre-existing and novel clonotypes recruited to the leukemic microenvironment, rather than the infusion. Our work provides a paradigm for analyzing longitudinal single-cell profiling of scenarios beyond adoptive cell therapy and introduces Symphony, a Bayesian approach to infer regulatory circuitry underlying T cell subsets, with broad relevance to exhaustion antagonists across cancers.
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Affiliation(s)
- Pavan Bachireddy
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Department of Hematopoietic Biology & Malignancy, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Cancer Prevention and Research Institute of Texas (CPRIT) Scholar in Cancer Research, Austin, TX 78701, USA.
| | - Elham Azizi
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Biomedical Engineering and Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA.
| | - Cassandra Burdziak
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Vinhkhang N Nguyen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Christina S Ennis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Katie Maurer
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Cameron Y Park
- Department of Biomedical Engineering and Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA
| | - Zi-Ning Choo
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Shuqiang Li
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Satyen H Gohil
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Neil G Ruthen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Zhongqi Ge
- Department of Hematopoietic Biology & Malignancy, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Derin B Keskin
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Nicoletta Cieri
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Kenneth J Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Haesook T Kim
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Donna S Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Robert J Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Edwin P Alyea
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Dana Pe'er
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Parker Institute of Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
| | - Catherine J Wu
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA.
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7
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Impact of CMV reactivation on relapse of acute myeloid leukemia after HCT is dependent on disease stage and ATG. Blood Adv 2021; 6:28-36. [PMID: 34619756 PMCID: PMC8753205 DOI: 10.1182/bloodadvances.2021005509] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 08/26/2021] [Indexed: 11/20/2022] Open
Abstract
The impact of CMV reactivation on hematologic relapse after HCT is modulated by AML stage (CR1 or advanced) and in vivo T cell depletion. Following CMV reactivation, NRM was increased in CR1 patients without ATG, but not in patients with ATG or advanced disease stages.
Cytomegalovirus (CMV) reactivation is a frequent complication after allogeneic hematopoietic cell transplantation (HCT), whose impact on clinical outcome, in particular on leukemic relapse, is controversial. We retrospectively analyzed 687 HCT recipients with acute myeloid leukemia (AML) and ciclosporin-based immunosuppression to better understand the differential impact of CMV on transplant outcomes depending on AML disease stage and in vivo T cell depletion with antithymocyte globulin (ATG). Without ATG, CMV reactivation associated with significantly reduced relapse, yet its effect was more pronounced for advanced disease AML (P = .0002) than for patients in first complete remission (CR1, P = .0169). Depending on the disease stage, ATG exposure abrogated relapse protection following CMV reactivation in advanced stages (P = .796), while it inverted its effect into increased relapse for CR1 patients (P = .0428). CMV reactivation was associated with significantly increased nonrelapse mortality in CR1 patients without ATG (P = .0187) but not in those with advanced disease and ATG. Following CMV reactivation, only patients with advanced disease had significantly higher event-free survival rates as compared with patients without CMV. Overall, our data suggest that both ATG and disease stage modulate the impact of post-HCT CMV reactivation in opposite directions, revealing a level of complexity that warrants future studies regarding the interplay between antivirus and antitumor immunity.
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Liang H, Xia J, Zhang R, Yang B, Wu J, Gui G, Huang Y, Chen X, Yang R, Wang H, Gong S, Fan J. ELISPOT assay of interferon-γ secretion for evaluating human cytomegalovirus reactivation risk in allo-HSCT recipients. J Med Virol 2021; 93:6301-6308. [PMID: 34076905 DOI: 10.1002/jmv.27120] [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: 12/08/2020] [Revised: 05/08/2021] [Accepted: 05/31/2021] [Indexed: 11/12/2022]
Abstract
Human cytomegalovirus (HCMV) is a common cause of significant morbidity and mortality in transplant recipients after allogeneic hematopoietic stem cell transplantation (allo-HSCT). We evaluated interferon-γ (IFN-γ) secretion by HCMV NLV-specific CD8+ T cells in HCMV-reactivated allo-HSCT recipients using an enzyme-linked immunospot (ELISPOT) assay at 3 months post-transplantation. Blood samples from 47 recipients were tested for HCMV DNAemia, HCMV pp65 antigenemia, and anti-HCMV immunoglobulins (IgG/IgM) over 3 months post-transplantation. Of the 47 transplant recipients, 26 were HLA-A*02 positive and 21 were HLA-A*02 negative. The results were essentially consistent between the 47 transplant recipients and the HLA-A*02-positive recipients. HCMV DNAemia was not linearly correlated with IFN-γ spot-forming cells (SFCs) counts; IFN-γ SFCs counts did not differ significantly between the HCMV DNAemia-positive and -negative groups, whereas the HCMV-DNA virus loads were inversely correlated with the IFN-γ SFCs counts. HCMV pp65 antigenemia was not linearly correlated with IFN-γ SFCs counts; IFN-γ SFCs counts in the HCMV pp65 antigenemia-positive and -negative groups were similar. More IFN-γ SFCs counts were detected in transplant recipients with high anti-HCMV-IgG antibody titers than in those with low anti-HCMV-IgG titers pre-transplantation in the 47 recipients. Anti-HCMV-IgG antibody titers were positively linearly correlated with IFN-γ SFCs counts in HLA-A*02-positive recipients. The HCMV infection indicators used to monitor HCMV reactivation had different values in transplant recipients. The use of the IFN-γ SFCs counts measured by ELISPOT to evaluate the risk of HCMV reactivation needs further study.
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Affiliation(s)
- Hanying Liang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jintao Xia
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Runan Zhang
- Department of Clinical Laboratory, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Bing Yang
- Key Laboratory of Combined Multi-organ Transplantation, Ministry of Public Health, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jian Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Genyong Gui
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yaping Huang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaoming Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Rong Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Huiqi Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shengnan Gong
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jun Fan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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9
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T-cell receptor repertoire of cytomegalovirus-specific cytotoxic T-cells after allogeneic stem cell transplantation. Sci Rep 2020; 10:22218. [PMID: 33335252 PMCID: PMC7747720 DOI: 10.1038/s41598-020-79363-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 12/08/2020] [Indexed: 02/07/2023] Open
Abstract
Cytomegalovirus (CMV) infection is a major complication during allogeneic stem cell transplantation (allo-SCT). However, mechanisms of adaptive immunity that drive this remain unclear. To define early immunological responses to CMV after transplantation, we using next-generation sequencing to examine the repertoire of T-cell receptors in CD8+/CMV pp65 tetramer+ cells (CMV-CTLs) in peripheral blood samples obtained from 16 allo-SCT recipients with HLA-A*24:02 at the time of CMV reactivation. In most patients, TCR beta repertoire of CMV-CTLs was highly skewed (median Inverse Simpson's index: 1.595) and, 15 of 16 patients shared at least one TCR-beta clonotype with ≥ 2 patients. The shared TCRs were dominant in 12 patients and, two clonotypes were shared by about half of the patients. Similarity analysis showed that CDR3 sequences of shared TCRs were more similar than unshared TCRs. TCR beta repertoires of CMV-CTLs in 12 patients were also analyzed after 2-4 weeks to characterize the short-term dynamics of TCR repertoires. In ten patients, we observed persistence of prevailing clones. In the other two patients, TCR repertoires became more diverse, major clones declined, and new private clones subsequently emerged. These results provided the substantive clue to understand the immunological behavior against CMV reactivation after allo-SCT.
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10
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The Identity Card of T Cells-Clinical Utility of T-cell Receptor Repertoire Analysis in Transplantation. Transplantation 2020; 103:1544-1555. [PMID: 31033649 DOI: 10.1097/tp.0000000000002776] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
There is a clear medical need to change the current strategy of "one-size-fits-all" immunosuppression for controlling transplant rejection to precision medicine and targeted immune intervention. As T cells play a key role in both undesired graft rejection and protection, a better understanding of the fate and function of both alloreactive graft-deteriorating T cells and those protecting to infections is required. The T-cell receptor (TCR) is the individual identity card of each T cell clone and can help to follow single specificities. In this context, tracking of lymphocytes with certain specificity in blood and tissue in clinical follow up is of especial importance. After overcoming technical limitations of the past, novel molecular technologies opened new avenues of diagnostics. Using advantages of next generation sequencing, a method was established for T-cell tracing by detection of variable TCR region as identifiers of individual lymphocyte clones. The current review describes principles of laboratory and computational methods of TCR repertoire analysis, and gives an overview on applications for the basic understanding of transplant biology and immune monitoring. The review also delineates methodological pitfalls and challenges. With the outlook on prediction of antigens in immune-mediated processes including those of unknown causative pathogens, monitoring the fate and function of individual T cell clones, and the adoptive transfer of protective effector or regulatory T cells, this review highlights the current and future capability of TCR repertoire analysis.
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11
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Shah O, Tamaresis JS, Kenyon LJ, Xu L, Zheng P, Gupta P, Rangarajan K, Lee S, Spellman S, Nikiforow S, Zehnder J, Meyer EH. Analysis of the Whole CDR3 T Cell Receptor Repertoire after Hematopoietic Stem Cell Transplantation in 2 Clinical Cohorts. Biol Blood Marrow Transplant 2020; 26:1050-1070. [PMID: 32081787 DOI: 10.1016/j.bbmt.2020.01.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 01/12/2020] [Accepted: 01/27/2020] [Indexed: 01/19/2023]
Abstract
A major cause of morbidity and mortality for patients who undergo hematologic stem cell transplantation (HSCT) is acute graft-versus-host disease (aGVHD), a mostly T cell-mediated disease. Examination of the T cell receptor (TCR) repertoire of HSCT recipients and the use of next-generation nucleotide sequencing have raised the question of whether features of TCR repertoire reconstitution might reproducibly associate with aGVHD. We hypothesized that the peripheral blood TCR repertoire of patients with steroid-nonresponsive aGVHD would be less diverse. We also hypothesized that patients with GVHD who shared HLA might also share common clones at the time of GVHD diagnosis, thereby potentially providing potential clinical indicators for treatment stratification. We further hypothesized that HSCT recipients with the same HLA mismatch might share a more similar TCR repertoire based on a potentially shared focus of alloreactive responses. We studied 2 separate patient cohorts and 2 separate platforms for measuring TCR repertoire. The first cohort of patients was from a multicenter Phase III randomized double-blinded clinical trial of patients who developed aGVHD (NCT01002742). The second cohort comprised samples from biobanks from 2 transplantation centers and the Center for International Blood and Marrow Transplant Research of patients who underwent mismatched HSCT. There were no statistically significant differences in the TCR diversity of steroid responders and nonresponders among patients with aGVHD on the day of diagnosis. Most clones in the repertoire were unique to each patient, but a small number of clones were found to be both exclusive to and shared among aGVHD nonresponders. We were also able to show a strong correlation between the presence of Vβ20 and Vβ29 and steroid responsiveness. Using the Bhattacharya coefficient, those patients who shared the same HLA mismatch were shown to be no more similar to one another than to those who had a completely different mismatch. Using 2 separate clinical cohorts and 2 separate platforms for analyzing the TCR repertoire, we have shown that the sampled human TCR repertoire is largely unique to each patient but contains glimmers of common clones of subsets of clones based on responsiveness to steroids in aGVHD on the day of diagnosis. These studies are informative for future strategies to assess for reproducible TCR responses in human alloreactivity and possible markers of GVHD responsiveness to therapy.
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Affiliation(s)
- Omid Shah
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - John S Tamaresis
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California
| | - Laura Jean Kenyon
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - Liwen Xu
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Pingping Zheng
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - Puja Gupta
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - Krish Rangarajan
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California
| | - Stephanie Lee
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephen Spellman
- National Marrow Donor Program/C Center for International Blood and Marrow Transplant Research, Minneapolis, Minnesota
| | | | - James Zehnder
- Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Everett H Meyer
- Division of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, California.
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12
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Aschauer C, Jelencsics K, Hu K, Heinzel A, Vetter J, Fraunhofer T, Schaller S, Winkler S, Pimenov L, Gualdoni GA, Eder M, Kainz A, Regele H, Reindl-Schwaighofer R, Oberbauer R. Next generation sequencing based assessment of the alloreactive T cell receptor repertoire in kidney transplant patients during rejection: a prospective cohort study. BMC Nephrol 2019; 20:346. [PMID: 31477052 PMCID: PMC6719356 DOI: 10.1186/s12882-019-1541-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 08/27/2019] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Kidney transplantation is the optimal treatment in end stage renal disease but the allograft survival is still hampered by immune reactions against the allograft. This process is driven by the recognition of allogenic antigens presented to T-cells and their unique T-cell receptor (TCR) via the major histocompatibility complex (MHC), which triggers a complex immune response potentially leading to graft injury. Although the immune system and kidney transplantation have been studied extensively, the subtlety of alloreactive immune responses has impeded sensitive detection at an early stage. Next generation sequencing of the TCR enables us to monitor alloreactive T-cell populations and might thus allow the detection of early rejection events. METHODS/DESIGN This is a prospective cohort study designed to sequentially evaluate the alloreactive T cell repertoire after kidney transplantation. The TCR repertoire of patients who developed biopsy confirmed acute T cell mediated rejection (TCMR) will be compared to patients without rejection. To track the alloreactive subsets we will perform a mixed lymphocyte reaction between kidney donor and recipient before transplantation and define the alloreactive TCR repertoire by next generation sequencing of the complementary determining region 3 (CDR3) of the T cell receptor beta chain. After initial clonotype assembly from sequencing reads, TCR repertoire diversity and clonal expansion of T cells of kidney transplant recipients in periphery and kidney biopsy will be analyzed for changes after transplantation, during, prior or after a rejection. The goal of this study is to describe changes of overall T cell repertoire diversity, clonality in kidney transplant recipients, define and track alloreactive T cells in the posttransplant course and decipher patterns of expanded alloreactive T cells in acute cellular rejection to find an alternative monitoring to invasive and delayed diagnostic procedures. DISCUSSION Changes of the T cell repertoire and tracking of alloreactive T cell clones after combined bone marrow and kidney transplant has proven to be of potential use to monitor the donor directed alloresponse. The dynamics of the donor specific T cells in regular kidney transplant recipients in rejection still rests elusive and can give further insights in human alloresponse. TRIAL REGISTRATION Clinicaltrials.gov: NCT03422224 , registered February 5th 2018.
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Affiliation(s)
- Constantin Aschauer
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Kira Jelencsics
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Karin Hu
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Andreas Heinzel
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Julia Vetter
- Bioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 13, 4232, Hagenberg im Muehlkreis, Austria
| | - Thomas Fraunhofer
- Bioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 13, 4232, Hagenberg im Muehlkreis, Austria
| | - Susanne Schaller
- Bioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 13, 4232, Hagenberg im Muehlkreis, Austria
| | - Stephan Winkler
- Bioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 13, 4232, Hagenberg im Muehlkreis, Austria
| | - Lisabeth Pimenov
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Guido A Gualdoni
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Michael Eder
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Alexander Kainz
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Heinz Regele
- Department of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Roman Reindl-Schwaighofer
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Rainer Oberbauer
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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13
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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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14
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Stern L, Withers B, Avdic S, Gottlieb D, Abendroth A, Blyth E, Slobedman B. Human Cytomegalovirus Latency and Reactivation in Allogeneic Hematopoietic Stem Cell Transplant Recipients. Front Microbiol 2019; 10:1186. [PMID: 31191499 PMCID: PMC6546901 DOI: 10.3389/fmicb.2019.01186] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Accepted: 05/09/2019] [Indexed: 12/14/2022] Open
Abstract
Human cytomegalovirus (HCMV) reactivation is a major infectious cause of morbidity and mortality after allogeneic hematopoietic stem cell transplantation (HSCT). HCMV is a ubiquitous beta-herpesvirus which asymptomatically infects immunocompetent individuals but establishes lifelong latency, with the potential to reactivate to a life-threatening productive infection when the host immune system is suppressed or compromised. Opportunistic HCMV reactivation is the most common viral complication following engraftment after HSCT and is associated with a marked increase in non-relapse mortality, which appears to be linked to complex effects on post-transplant immune recovery. This minireview explores the cellular sites of HCMV latency and reactivation in HSCT recipients and provides an overview of the risk factors for HCMV reactivation post-HSCT. The impact of HCMV in shaping post-transplant immune reconstitution and its relationship with patient outcomes such as relapse and graft-versus-host disease will be discussed. Finally, we survey current and emerging strategies to prevent and control HCMV reactivation in HSCT recipients, with recent developments including adoptive T cell therapies to accelerate HCMV-specific T cell reconstitution and new anti-HCMV drug therapy for HCMV reactivation after HSCT.
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Affiliation(s)
- Lauren Stern
- Discipline of Infectious Diseases and Immunology, Sydney Medical School, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Barbara Withers
- Department of Haematology, St Vincent's Hospital, Darlinghurst, NSW, Australia
| | - Selmir Avdic
- Westmead Institute of Medical Research, University of Sydney, Sydney, NSW, Australia.,Sydney Cellular Therapies Laboratory, Westmead, NSW, Australia
| | - David Gottlieb
- Westmead Institute of Medical Research, University of Sydney, Sydney, NSW, Australia.,Sydney Cellular Therapies Laboratory, Westmead, NSW, Australia.,Blood and Marrow Transplant Unit, Westmead Hospital, Sydney, NSW, Australia
| | - Allison Abendroth
- Discipline of Infectious Diseases and Immunology, Sydney Medical School, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Emily Blyth
- Westmead Institute of Medical Research, University of Sydney, Sydney, NSW, Australia.,Sydney Cellular Therapies Laboratory, Westmead, NSW, Australia.,Blood and Marrow Transplant Unit, Westmead Hospital, Sydney, NSW, Australia
| | - Barry Slobedman
- Discipline of Infectious Diseases and Immunology, Sydney Medical School, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
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15
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Schober K, Buchholz VR, Busch DH. TCR repertoire evolution during maintenance of CMV-specific T-cell populations. Immunol Rev 2019; 283:113-128. [PMID: 29664573 DOI: 10.1111/imr.12654] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
During infections and cancer, the composition of the T-cell receptor (TCR) repertoire of antigen-specific CD8+ T cells changes over time. TCR avidity is thought to be a major driver of this process, thereby interacting with several additional regulators of T-cell responses to form a composite immune response architecture. Infections with latent viruses, such as cytomegalovirus (CMV), can lead to large T-cell responses characterized by an oligoclonal TCR repertoire. Here, we review the current status of experimental studies and theoretical models of TCR repertoire evolution during CMV infection. We will particularly discuss the degree to which this process may be determined through structural TCR avidity. As engineered TCR-redirected T cells have moved into the spotlight for providing more effective immunotherapies, it is essential to understand how the key features of a given TCR influence T-cell expansion and maintenance in settings of infection or malignancy. Deeper insights into these mechanisms will improve our basic understanding of T-cell immunology and help to identify optimal TCRs for immunotherapy.
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Affiliation(s)
- Kilian Schober
- Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München (TUM), Munich, Germany
| | - Veit R Buchholz
- Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München (TUM), Munich, Germany
| | - Dirk H Busch
- Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München (TUM), Munich, Germany.,Focus Group 'Clinical Cell Processing and Purification', Institute for Advanced Study, TUM, Munich, Germany.,National Centre for Infection Research (DZIF), Munich, Germany
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16
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Bradley P, Thomas PG. Using T Cell Receptor Repertoires to Understand the Principles of Adaptive Immune Recognition. Annu Rev Immunol 2019; 37:547-570. [PMID: 30699000 DOI: 10.1146/annurev-immunol-042718-041757] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Adaptive immune recognition is mediated by antigen receptors on B and T cells generated by somatic recombination during lineage development. The high level of diversity resulting from this process posed technical limitations that previously limited the comprehensive analysis of adaptive immune recognition. Advances over the last ten years have produced data and approaches allowing insights into how T cells develop, evolutionary signatures of recombination and selection, and the features of T cell receptors that mediate epitope-specific binding and T cell activation. The size and complexity of these data have necessitated the generation of novel computational and analytical approaches, which are transforming how T cell immunology is conducted. Here we review the development and application of novel biological, theoretical, and computational methods for understanding T cell recognition and discuss the potential for improved models of receptor:antigen interactions.
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Affiliation(s)
- Philip Bradley
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA; .,Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA;
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17
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Link-Rachner CS, Eugster A, Rücker-Braun E, Heidenreich F, Oelschlägel U, Dahl A, Klesse C, Kuhn M, Middeke JM, Bornhäuser M, Bonifacio E, Schetelig J. T-cell receptor-α repertoire of CD8+ T cells following allogeneic stem cell transplantation using next-generation sequencing. Haematologica 2018; 104:622-631. [PMID: 30262565 PMCID: PMC6395323 DOI: 10.3324/haematol.2018.199802] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 09/25/2018] [Indexed: 12/01/2022] Open
Abstract
Alloreactivity or opportunistic infections following allogeneic stem cell transplantation are difficult to predict and contribute to post-transplantation mortality. How these immune reactions result in changes to the T-cell receptor repertoire remains largely unknown. Using next-generation sequencing, the T-cell receptor alpha (TRα) repertoire of naïve and memory CD8+ T cells from 25 patients who had received different forms of allogeneic transplantation was analyzed. In parallel, reconstitution of the CD8+/CD4+ T-cell subsets was mapped using flow cytometry. When comparing the influence of anti-T-cell therapy, a delay in the reconstitution of the naïve CD8+ T-cell repertoire was observed in patients who received in vivo T-cell depletion using antithymocyte globulin or post-transplantation cyclophosphamide in case of haploidentical transplantation. Sequencing of the TRα identified a repertoire consisting of more dominant clonotypes (>1% of reads) in these patients at 6 and 18 months post transplantation. When comparing donor and recipient, approximately 50% and approximately 80% of the donors’ memory repertoire were later retrieved in the naïve and memory CD8+ T-cell receptor repertoire of the recipients, respectively. Although there was a remarkable expansion of single clones observed in the recipients’ memory CD8+ TRα repertoire, no clear association between graft-versus-host disease or cytomegalovirus infection and T-cell receptor diversity was identified. A lower TRα diversity was observed in recipients of a cytomegalovirus-seropositive donor (P=0.014). These findings suggest that CD8+ T-cell reconstitution in transplanted patients is influenced by the use of T-cell depletion or immunosuppression and the donor repertoire.
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Affiliation(s)
- Cornelia S Link-Rachner
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden .,DFG Research Center for Regenerative Therapies Dresden, TU Dresden
| | - Anne Eugster
- DFG Research Center for Regenerative Therapies Dresden, TU Dresden
| | - Elke Rücker-Braun
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden
| | - Falk Heidenreich
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden.,DKMS Clinical Trials Unit, Dresden
| | - Uta Oelschlägel
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden
| | - Andreas Dahl
- DFG Research Center for Regenerative Therapies Dresden, TU Dresden.,BIOTEChnology Center, TU Dresden
| | | | - Matthias Kuhn
- Institut für Medizinische Informatik und Biometrie (IMB), Medizinische Fakultät der TU Dresden, Germany
| | - Jan Moritz Middeke
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden
| | - Martin Bornhäuser
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden.,DFG Research Center for Regenerative Therapies Dresden, TU Dresden
| | - Ezio Bonifacio
- DFG Research Center for Regenerative Therapies Dresden, TU Dresden
| | - Johannes Schetelig
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden.,DKMS Clinical Trials Unit, Dresden
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18
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Attaf M, Sewell AK. Disease etiology and diagnosis by TCR repertoire analysis goes viral. Eur J Immunol 2017; 46:2516-2519. [PMID: 27813075 DOI: 10.1002/eji.201646649] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 09/21/2016] [Accepted: 10/10/2016] [Indexed: 12/24/2022]
Abstract
The importance of T-cell receptor (TCR) repertoire diversity is highlighted in murine models of immunodeficiency and in many human pathologies. However, the true extent of TCR diversity and how this diversity varies in health and disease is poorly understood. In a previous issue of the European Journal of Immunology, Lossius et al. [Eur. J. Immunol. 2014. 44: 3439-3452] dissected the composition of the TCR repertoire in the context of multiple sclerosis (MS) using high-throughput sequencing of TCR-β chains in cerebrospinal fluid samples and blood. The authors demonstrated that the TCR repertoire of the CSF was largely distinct from the blood and enriched in EBV-reactive CD8+ T cells in MS patients. Studies of this kind have long been hindered by technical limitations and remain scarce in the literature. However, TCR sequencing methodologies are progressing apace and will undoubtedly shed light on the genetic basis of T-cell responses and the ontogeny of T-cell-mediated diseases, such as MS.
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Affiliation(s)
- Meriem Attaf
- Division of Infection and Immunity and Systems Immunity Research Institute, Cardiff University School of Medicine, Cardiff, UK.
| | - Andrew K Sewell
- Division of Infection and Immunity and Systems Immunity Research Institute, Cardiff University School of Medicine, Cardiff, UK
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19
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Ogonek J, Verma K, Schultze-Florey C, Varanasi P, Luther S, Schweier P, Kühnau W, Göhring G, Dammann E, Stadler M, Ganser A, Koehl U, Koenecke C, Weissinger EM, Hambach L. Characterization of High-Avidity Cytomegalovirus-Specific T Cells with Differential Tetramer Binding Coappearing after Allogeneic Stem Cell Transplantation. THE JOURNAL OF IMMUNOLOGY 2017. [DOI: 10.4049/jimmunol.1601992] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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20
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Chen G, Yang X, Ko A, Sun X, Gao M, Zhang Y, Shi A, Mariuzza RA, Weng NP. Sequence and Structural Analyses Reveal Distinct and Highly Diverse Human CD8 + TCR Repertoires to Immunodominant Viral Antigens. Cell Rep 2017; 19:569-583. [PMID: 28423320 DOI: 10.1016/j.celrep.2017.03.072] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2016] [Revised: 02/02/2017] [Accepted: 03/24/2017] [Indexed: 01/07/2023] Open
Abstract
A diverse T cell receptor (TCR) repertoire is essential for controlling viral infections. However, information about TCR repertoires to defined viral antigens is limited. We performed a comprehensive analysis of CD8+ TCR repertoires for two dominant viral epitopes: pp65495-503 (NLV) of cytomegalovirus and M158-66 (GIL) of influenza A virus. The highly individualized repertoires (87-5,533 α or β clonotypes per subject) comprised thousands of unique TCRα and TCRβ sequences and dozens of distinct complementary determining region (CDR)3α and CDR3β motifs. However, diversity is effectively restricted by preferential V-J combinations, CDR3 lengths, and CDR3α/CDR3β pairings. Structures of two GIL-specific TCRs bound to GIL-HLA-A2 provided a potential explanation for the lower diversity of GIL-specific versus NLV-specific repertoires. These anti-viral TCRs occupied up to 3.4% of the CD8+ TCRβ repertoire, ensuring broad T cell responses to single epitopes. Our portrait of two anti-viral TCR repertoires may inform the development of predictors of immune protection.
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Affiliation(s)
- Guobing Chen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Xinbo Yang
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA
| | - Annette Ko
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Xiaoping Sun
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Mingming Gao
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA
| | - Yongqing Zhang
- Laboratory of Genetics, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Alvin Shi
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Roy A Mariuzza
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA
| | - Nan-Ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD 21224, USA.
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21
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CD8 + T cells specific for the islet autoantigen IGRP are restricted in their T cell receptor chain usage. Sci Rep 2017; 7:44661. [PMID: 28300170 PMCID: PMC5353542 DOI: 10.1038/srep44661] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 02/13/2017] [Indexed: 11/21/2022] Open
Abstract
CD8+ T cells directed against beta cell autoantigens are considered relevant for the pathogenesis of type 1 diabetes. Using single cell T cell receptor sequencing of CD8+ T cells specific for the IGRP265-273 epitope, we examined whether there was expansion of clonotypes and sharing of T cell receptor chains in autoreactive CD8+ T cell repertoires. HLA-A*0201 positive type 1 diabetes patients (n = 19) and controls (n = 18) were analysed. TCR α- and β-chain sequences of 418 patient-derived IGRP265-273-multimer+ CD8+ T cells representing 48 clonotypes were obtained. Expanded populations of IGRP265-273-specific CD8+ T cells with dominant clonotypes that had TCR α-chains shared across patients were observed. The SGGSNYKLTF motif corresponding to TRAJ53 was contained in 384 (91.9%) cells, and in 20 (41.7%) patient-derived clonotypes. TRAJ53 together with TRAV29/DV5 was found in 15 (31.3%) clonotypes. Using next generation TCR α-chain sequencing, we found enrichment of one of these TCR α-chains in the memory CD8+ T cells of patients as compared to healthy controls. CD8+ T cell clones bearing the enriched motifs mediated antigen-specific target cell lysis. We provide the first evidence for restriction of T cell receptor motifs in the alpha chain of human CD8+ T cells with specificity to a beta cell antigen.
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22
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Link CS, Hölig K, Rücker-Braun E, Lang K, Kuhn M, Eugster A, Klesse C, Schmiedgen M, Heidenreich F, Oelschlägel U, Dahl A, Bornhäuser M, Bonifacio E, Schetelig J. Assessment of the T cell receptor repertoire in long-term platelet donors by next generation sequencing. Br J Haematol 2017; 181:389-391. [PMID: 28272738 DOI: 10.1111/bjh.14576] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Cornelia S Link
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany.,DFG Research Centre for Regenerative Therapies Dresden, TU Dresden, Dresden, Germany
| | - Kristina Hölig
- Fachbereich Transfusionsmedizin, Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Elke Rücker-Braun
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | | | - Matthias Kuhn
- Institut für medizinische Informatik und Biometrie (IMB), Medizinische Fakultät der TU Dresden, Dresden, Germany
| | - Anne Eugster
- DFG Research Centre for Regenerative Therapies Dresden, TU Dresden, Dresden, Germany
| | | | - Maria Schmiedgen
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Falk Heidenreich
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Uta Oelschlägel
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Andreas Dahl
- DFG Research Centre for Regenerative Therapies Dresden, TU Dresden, Dresden, Germany.,BIOTEChnology Centre, TU Dresden, Dresden, Germany
| | - Martin Bornhäuser
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany.,DFG Research Centre for Regenerative Therapies Dresden, TU Dresden, Dresden, Germany
| | - Ezio Bonifacio
- DFG Research Centre for Regenerative Therapies Dresden, TU Dresden, Dresden, Germany
| | - Johannes Schetelig
- Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany.,DKMS Clinical Trials Unit, Dresden, Germany
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23
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Laberko A, Bogoyavlenskaya A, Shelikhova L, Shekhovtsova Z, Balashov D, Voronin K, Kurnikova E, Boyakova E, Raykina E, Brilliantova V, Pirumova V, Novichkova G, Maschan A, Maschan M. Risk Factors for and the Clinical Impact of Cytomegalovirus and Epstein-Barr Virus Infections in Pediatric Recipients of TCR-α/β– and CD19-Depleted Grafts. Biol Blood Marrow Transplant 2017; 23:483-490. [DOI: 10.1016/j.bbmt.2016.12.635] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 12/23/2016] [Indexed: 10/20/2022]
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24
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Broad TCR repertoire and diverse structural solutions for recognition of an immunodominant CD8 + T cell epitope. Nat Struct Mol Biol 2017; 24:395-406. [PMID: 28250417 PMCID: PMC5383516 DOI: 10.1038/nsmb.3383] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 01/30/2017] [Indexed: 12/16/2022]
Abstract
A keystone of antiviral immunity is CD8 T-cell recognition of viral peptides bound to MHC-I proteins. The recognition mode of individual T cell receptors (TCRs) has been studied in some detail, but how TCR variation functions in providing a robust response to viral antigen is unclear. The influenza M1 epitope is an immunodominant target of CD8 T cells helping to control influenza in HLA-A2+ individuals. Here, we show that many distinct TCRs are used by CD8 T cells to recognize HLA-A2/M1, encoding different structural solutions to the problem of specifically recognizing a relatively featureless peptide antigen. The vast majority of responding TCRs target small clefts between peptide and MHC. These broad repertoires lead to plasticity in antigen recognition and protection against T cell clonal loss and viral escape.
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25
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Blyth E, Withers B, Clancy L, Gottlieb D. CMV-specific immune reconstitution following allogeneic stem cell transplantation. Virulence 2016; 7:967-980. [PMID: 27580355 DOI: 10.1080/21505594.2016.1221022] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Cytomegalovirus (CMV) remains a major contributor to morbidity and mortality following allogeneic haemopoietic stem cell transplant (HSCT) despite widespread use of viraemia monitoring and pre-emptive antiviral therapy. Uncontrolled viral replication occurs primarily in the first 100 d post transplant but this high risk period can extend to many months if immune recovery is delayed. The re-establishment of a functional population of cellular effectors is essential for control of virus replication and depends on recipient and donor serostatus, the stem cell source, degree of HLA matching and post-transplant factors such as CMV antigen exposure, presence of GVHD and ongoing use of immune suppression. A number of immune monitoring assays exist but have not yet become widely accessible for routine clinical use. Vaccination, adoptive transfer of CMV specific T cells and a number of graft engineering processes are being evaluated to enhance of CMV specific immune recovery post HSCT.
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Affiliation(s)
- Emily Blyth
- a Westmead Institute for Medical Research at the University of Sydney , Westmead , Sydney , Australia.,b Blood and Marrow Transplant Unit, Westmead Hospital , Sydney , Australia.,c Department of Haematology , Westmead , Sydney , Australia
| | - Barbara Withers
- a Westmead Institute for Medical Research at the University of Sydney , Westmead , Sydney , Australia
| | - Leighton Clancy
- a Westmead Institute for Medical Research at the University of Sydney , Westmead , Sydney , Australia.,d Sydney Cellular Therapies Laboratory , Westmead , Sydney , Australia
| | - David Gottlieb
- a Westmead Institute for Medical Research at the University of Sydney , Westmead , Sydney , Australia.,b Blood and Marrow Transplant Unit, Westmead Hospital , Sydney , Australia.,c Department of Haematology , Westmead , Sydney , Australia.,d Sydney Cellular Therapies Laboratory , Westmead , Sydney , Australia
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