Prospective Tracking of Donor-Reactive T-Cell Clones in the Circulation and Rejecting Human Kidney Allografts
Antigen recognition of allo-peptides and HLA molecules leads to the activation of donor-reactive T-cells following transplantation, potentially causing T-cell-mediated rejection (TCMR). Sequencing of the T-cell receptor (TCR) repertoire can be used to track the donor-reactive repertoire in blood and...
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Published in | Frontiers in immunology Vol. 12; p. 750005 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Switzerland
Frontiers Media S.A
14.10.2021
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ISSN | 1664-3224 1664-3224 |
DOI | 10.3389/fimmu.2021.750005 |
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Abstract | Antigen recognition of allo-peptides and HLA molecules leads to the activation of donor-reactive T-cells following transplantation, potentially causing T-cell-mediated rejection (TCMR). Sequencing of the T-cell receptor (TCR) repertoire can be used to track the donor-reactive repertoire in blood and tissue of patients after kidney transplantation.
In this prospective cohort study, 117 non-sensitized kidney transplant recipients with anti-CD25 induction were included. Peripheral mononuclear cells (PBMCs) were sampled pre-transplant and at the time of protocol or indication biopsies together with graft tissue. Next-generation sequencing (NGS) of the CDR3 region of the TCRbeta chain was performed after donor stimulation in mixed lymphocyte reactions to define the donor-reactive TCR repertoire. Blood and tissue of six patients experiencing a TCMR and six patients without rejection on protocol biopsies were interrogated for these TCRs. To elucidate common features of T-cell clonotypes, a network analysis of the TCR repertoires was performed.
After transplantation, the frequency of circulating donor-reactive CD4 T-cells increased significantly from 0.86 ± 0.40% to 2.06 ± 0.40% of all CD4 cells (p < 0.001, mean dif.: -1.197, CI: -1.802, -0.593). The number of circulating donor-reactive CD4 clonotypes increased from 0.72 ± 0.33% to 1.89 ± 0.33% (p < 0.001, mean dif.: -1.168, CI: -1.724, -0.612). No difference in the percentage of donor-reactive T-cells in the circulation at transplant biopsy was found between subjects experiencing a TCMR and the control group [p = 0.64 (CD4
), p = 0.52 (CD8
)]. Graft-infiltrating T-cells showed an up to six-fold increase of donor-reactive T-cell clonotypes compared to the blood at the same time (3.7
0.6% and 2.4
1.5%), but the infiltrating TCR repertoire was not reflected by the composition of the circulating TCR repertoire despite some overlap. Network analysis showed a distinct segregation of the donor-reactive repertoire with higher modularity than the overall TCR repertoire in the blood. These findings indicate an unchoreographed process of diverse T-cell clones directed against numerous non-self antigens found in the allograft.
Donor-reactive T-cells are enriched in the kidney allograft during a TCMR episode, and dominant tissue clones are also found in the blood.
Clinicaltrials.gov: NCT: 03422224 (https://clinicaltrials.gov/ct2/show/NCT03422224). |
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AbstractList | BackgroundAntigen recognition of allo-peptides and HLA molecules leads to the activation of donor-reactive T-cells following transplantation, potentially causing T-cell-mediated rejection (TCMR). Sequencing of the T-cell receptor (TCR) repertoire can be used to track the donor-reactive repertoire in blood and tissue of patients after kidney transplantation.Methods/DesignIn this prospective cohort study, 117 non-sensitized kidney transplant recipients with anti-CD25 induction were included. Peripheral mononuclear cells (PBMCs) were sampled pre-transplant and at the time of protocol or indication biopsies together with graft tissue. Next-generation sequencing (NGS) of the CDR3 region of the TCRbeta chain was performed after donor stimulation in mixed lymphocyte reactions to define the donor-reactive TCR repertoire. Blood and tissue of six patients experiencing a TCMR and six patients without rejection on protocol biopsies were interrogated for these TCRs. To elucidate common features of T-cell clonotypes, a network analysis of the TCR repertoires was performed.ResultsAfter transplantation, the frequency of circulating donor-reactive CD4 T-cells increased significantly from 0.86 ± 0.40% to 2.06 ± 0.40% of all CD4 cells (p < 0.001, mean dif.: -1.197, CI: -1.802, -0.593). The number of circulating donor-reactive CD4 clonotypes increased from 0.72 ± 0.33% to 1.89 ± 0.33% (p < 0.001, mean dif.: -1.168, CI: -1.724, -0.612). No difference in the percentage of donor-reactive T-cells in the circulation at transplant biopsy was found between subjects experiencing a TCMR and the control group [p = 0.64 (CD4+), p = 0.52 (CD8+)]. Graft-infiltrating T-cells showed an up to six-fold increase of donor-reactive T-cell clonotypes compared to the blood at the same time (3.7 vs. 0.6% and 2.4 vs. 1.5%), but the infiltrating TCR repertoire was not reflected by the composition of the circulating TCR repertoire despite some overlap. Network analysis showed a distinct segregation of the donor-reactive repertoire with higher modularity than the overall TCR repertoire in the blood. These findings indicate an unchoreographed process of diverse T-cell clones directed against numerous non-self antigens found in the allograft.ConclusionDonor-reactive T-cells are enriched in the kidney allograft during a TCMR episode, and dominant tissue clones are also found in the blood.Trial RegistrationClinicaltrials.gov: NCT: 03422224 (https://clinicaltrials.gov/ct2/show/NCT03422224). Antigen recognition of allo-peptides and HLA molecules leads to the activation of donor-reactive T-cells following transplantation, potentially causing T-cell-mediated rejection (TCMR). Sequencing of the T-cell receptor (TCR) repertoire can be used to track the donor-reactive repertoire in blood and tissue of patients after kidney transplantation.BackgroundAntigen recognition of allo-peptides and HLA molecules leads to the activation of donor-reactive T-cells following transplantation, potentially causing T-cell-mediated rejection (TCMR). Sequencing of the T-cell receptor (TCR) repertoire can be used to track the donor-reactive repertoire in blood and tissue of patients after kidney transplantation.In this prospective cohort study, 117 non-sensitized kidney transplant recipients with anti-CD25 induction were included. Peripheral mononuclear cells (PBMCs) were sampled pre-transplant and at the time of protocol or indication biopsies together with graft tissue. Next-generation sequencing (NGS) of the CDR3 region of the TCRbeta chain was performed after donor stimulation in mixed lymphocyte reactions to define the donor-reactive TCR repertoire. Blood and tissue of six patients experiencing a TCMR and six patients without rejection on protocol biopsies were interrogated for these TCRs. To elucidate common features of T-cell clonotypes, a network analysis of the TCR repertoires was performed.Methods/DesignIn this prospective cohort study, 117 non-sensitized kidney transplant recipients with anti-CD25 induction were included. Peripheral mononuclear cells (PBMCs) were sampled pre-transplant and at the time of protocol or indication biopsies together with graft tissue. Next-generation sequencing (NGS) of the CDR3 region of the TCRbeta chain was performed after donor stimulation in mixed lymphocyte reactions to define the donor-reactive TCR repertoire. Blood and tissue of six patients experiencing a TCMR and six patients without rejection on protocol biopsies were interrogated for these TCRs. To elucidate common features of T-cell clonotypes, a network analysis of the TCR repertoires was performed.After transplantation, the frequency of circulating donor-reactive CD4 T-cells increased significantly from 0.86 ± 0.40% to 2.06 ± 0.40% of all CD4 cells (p < 0.001, mean dif.: -1.197, CI: -1.802, -0.593). The number of circulating donor-reactive CD4 clonotypes increased from 0.72 ± 0.33% to 1.89 ± 0.33% (p < 0.001, mean dif.: -1.168, CI: -1.724, -0.612). No difference in the percentage of donor-reactive T-cells in the circulation at transplant biopsy was found between subjects experiencing a TCMR and the control group [p = 0.64 (CD4+), p = 0.52 (CD8+)]. Graft-infiltrating T-cells showed an up to six-fold increase of donor-reactive T-cell clonotypes compared to the blood at the same time (3.7 vs. 0.6% and 2.4 vs. 1.5%), but the infiltrating TCR repertoire was not reflected by the composition of the circulating TCR repertoire despite some overlap. Network analysis showed a distinct segregation of the donor-reactive repertoire with higher modularity than the overall TCR repertoire in the blood. These findings indicate an unchoreographed process of diverse T-cell clones directed against numerous non-self antigens found in the allograft.ResultsAfter transplantation, the frequency of circulating donor-reactive CD4 T-cells increased significantly from 0.86 ± 0.40% to 2.06 ± 0.40% of all CD4 cells (p < 0.001, mean dif.: -1.197, CI: -1.802, -0.593). The number of circulating donor-reactive CD4 clonotypes increased from 0.72 ± 0.33% to 1.89 ± 0.33% (p < 0.001, mean dif.: -1.168, CI: -1.724, -0.612). No difference in the percentage of donor-reactive T-cells in the circulation at transplant biopsy was found between subjects experiencing a TCMR and the control group [p = 0.64 (CD4+), p = 0.52 (CD8+)]. Graft-infiltrating T-cells showed an up to six-fold increase of donor-reactive T-cell clonotypes compared to the blood at the same time (3.7 vs. 0.6% and 2.4 vs. 1.5%), but the infiltrating TCR repertoire was not reflected by the composition of the circulating TCR repertoire despite some overlap. Network analysis showed a distinct segregation of the donor-reactive repertoire with higher modularity than the overall TCR repertoire in the blood. These findings indicate an unchoreographed process of diverse T-cell clones directed against numerous non-self antigens found in the allograft.Donor-reactive T-cells are enriched in the kidney allograft during a TCMR episode, and dominant tissue clones are also found in the blood.ConclusionDonor-reactive T-cells are enriched in the kidney allograft during a TCMR episode, and dominant tissue clones are also found in the blood.Clinicaltrials.gov: NCT: 03422224 (https://clinicaltrials.gov/ct2/show/NCT03422224).Trial RegistrationClinicaltrials.gov: NCT: 03422224 (https://clinicaltrials.gov/ct2/show/NCT03422224). Antigen recognition of allo-peptides and HLA molecules leads to the activation of donor-reactive T-cells following transplantation, potentially causing T-cell-mediated rejection (TCMR). Sequencing of the T-cell receptor (TCR) repertoire can be used to track the donor-reactive repertoire in blood and tissue of patients after kidney transplantation. In this prospective cohort study, 117 non-sensitized kidney transplant recipients with anti-CD25 induction were included. Peripheral mononuclear cells (PBMCs) were sampled pre-transplant and at the time of protocol or indication biopsies together with graft tissue. Next-generation sequencing (NGS) of the CDR3 region of the TCRbeta chain was performed after donor stimulation in mixed lymphocyte reactions to define the donor-reactive TCR repertoire. Blood and tissue of six patients experiencing a TCMR and six patients without rejection on protocol biopsies were interrogated for these TCRs. To elucidate common features of T-cell clonotypes, a network analysis of the TCR repertoires was performed. After transplantation, the frequency of circulating donor-reactive CD4 T-cells increased significantly from 0.86 ± 0.40% to 2.06 ± 0.40% of all CD4 cells (p < 0.001, mean dif.: -1.197, CI: -1.802, -0.593). The number of circulating donor-reactive CD4 clonotypes increased from 0.72 ± 0.33% to 1.89 ± 0.33% (p < 0.001, mean dif.: -1.168, CI: -1.724, -0.612). No difference in the percentage of donor-reactive T-cells in the circulation at transplant biopsy was found between subjects experiencing a TCMR and the control group [p = 0.64 (CD4 ), p = 0.52 (CD8 )]. Graft-infiltrating T-cells showed an up to six-fold increase of donor-reactive T-cell clonotypes compared to the blood at the same time (3.7 0.6% and 2.4 1.5%), but the infiltrating TCR repertoire was not reflected by the composition of the circulating TCR repertoire despite some overlap. Network analysis showed a distinct segregation of the donor-reactive repertoire with higher modularity than the overall TCR repertoire in the blood. These findings indicate an unchoreographed process of diverse T-cell clones directed against numerous non-self antigens found in the allograft. Donor-reactive T-cells are enriched in the kidney allograft during a TCMR episode, and dominant tissue clones are also found in the blood. Clinicaltrials.gov: NCT: 03422224 (https://clinicaltrials.gov/ct2/show/NCT03422224). |
Author | Jelencsics, Kira Oberbauer, Rainer Huppa, Johannes Bernhard Gregorich, Mariella Gloria Hu, Karin Wekerle, Thomas Gualdoni, Guido A. Winkler, Stephan M. Heinzel, Andreas Schaller, Susanne Regele, Heinz Weinberger, Johannes Pimenov, Lisabeth Sykes, Megan Reindl-Schwaighofer, Roman Vetter, Julia Aschauer, Constantin Troescher, Anna Regina Eder, Michael Kainz, Alexander |
AuthorAffiliation | 6 Department of Pathology, Medical University of Vienna , Vienna , Austria 2 Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna , Vienna , Austria 1 Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna , Vienna , Austria 3 Bioinformatics Research Group, University of Applied Sciences Upper Austria , Hagenberg im Muehlkreis , Austria 7 Department of General Surgery, Division of Transplantation, Section of Transplantation Immunology, Medical University of Vienna , Vienna , Austria 9 Columbian Center for Translational Immunology, Department of Medicine, Columbia University , New York City, NY , United States 4 Research Laboratory of Infection Biology, Department of Medicine, Medical University of Vienna , Vienna , Austria 5 Department of Neuroimmunology, Medical University of Vienna , Vienna , Austria 8 Center for Pathophysiology, Infectiology and Immunology, Institute for Hygie |
AuthorAffiliation_xml | – name: 4 Research Laboratory of Infection Biology, Department of Medicine, Medical University of Vienna , Vienna , Austria – name: 7 Department of General Surgery, Division of Transplantation, Section of Transplantation Immunology, Medical University of Vienna , Vienna , Austria – name: 3 Bioinformatics Research Group, University of Applied Sciences Upper Austria , Hagenberg im Muehlkreis , Austria – name: 1 Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna , Vienna , Austria – name: 9 Columbian Center for Translational Immunology, Department of Medicine, Columbia University , New York City, NY , United States – name: 8 Center for Pathophysiology, Infectiology and Immunology, Institute for Hygiene and Applied Immunology, Medical University of Vienna , Vienna , Austria – name: 5 Department of Neuroimmunology, Medical University of Vienna , Vienna , Austria – name: 6 Department of Pathology, Medical University of Vienna , Vienna , Austria – name: 2 Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna , Vienna , Austria |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34721420$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Copyright | Copyright © 2021 Aschauer, Jelencsics, Hu, Heinzel, Gregorich, Vetter, Schaller, Winkler, Weinberger, Pimenov, Gualdoni, Eder, Kainz, Troescher, Regele, Reindl-Schwaighofer, Wekerle, Huppa, Sykes and Oberbauer. Copyright © 2021 Aschauer, Jelencsics, Hu, Heinzel, Gregorich, Vetter, Schaller, Winkler, Weinberger, Pimenov, Gualdoni, Eder, Kainz, Troescher, Regele, Reindl-Schwaighofer, Wekerle, Huppa, Sykes and Oberbauer 2021 Aschauer, Jelencsics, Hu, Heinzel, Gregorich, Vetter, Schaller, Winkler, Weinberger, Pimenov, Gualdoni, Eder, Kainz, Troescher, Regele, Reindl-Schwaighofer, Wekerle, Huppa, Sykes and Oberbauer |
Copyright_xml | – notice: Copyright © 2021 Aschauer, Jelencsics, Hu, Heinzel, Gregorich, Vetter, Schaller, Winkler, Weinberger, Pimenov, Gualdoni, Eder, Kainz, Troescher, Regele, Reindl-Schwaighofer, Wekerle, Huppa, Sykes and Oberbauer. – notice: Copyright © 2021 Aschauer, Jelencsics, Hu, Heinzel, Gregorich, Vetter, Schaller, Winkler, Weinberger, Pimenov, Gualdoni, Eder, Kainz, Troescher, Regele, Reindl-Schwaighofer, Wekerle, Huppa, Sykes and Oberbauer 2021 Aschauer, Jelencsics, Hu, Heinzel, Gregorich, Vetter, Schaller, Winkler, Weinberger, Pimenov, Gualdoni, Eder, Kainz, Troescher, Regele, Reindl-Schwaighofer, Wekerle, Huppa, Sykes and Oberbauer |
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Keywords | T-cell receptor kidney transplant network analysis alloreactivity next generation sequencing rejection |
Language | English |
License | Copyright © 2021 Aschauer, Jelencsics, Hu, Heinzel, Gregorich, Vetter, Schaller, Winkler, Weinberger, Pimenov, Gualdoni, Eder, Kainz, Troescher, Regele, Reindl-Schwaighofer, Wekerle, Huppa, Sykes and Oberbauer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 Reviewed by: Canan Kuscu, University of Tennessee Health Science Center (UTHSC), United States; Zhenwu Luo, Medical University of South Carolina, United States This article was submitted to Alloimmunity and Transplantation, a section of the journal Frontiers in Immunology Edited by: Yongxia Wu, Medical University of South Carolina, United States |
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SubjectTerms | Allografts - immunology alloreactivity Female Graft Rejection - immunology Humans Immunology kidney transplant Kidney Transplantation Male network analysis next generation sequencing Receptors, Antigen, T-Cell - genetics Receptors, Antigen, T-Cell - immunology rejection T-cell receptor T-Lymphocytes - immunology Tissue Donors |
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Title | Prospective Tracking of Donor-Reactive T-Cell Clones in the Circulation and Rejecting Human Kidney Allografts |
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