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1.
Int J Mol Sci ; 24(19)2023 Sep 23.
Article in English | MEDLINE | ID: mdl-37833911

ABSTRACT

After kidney transplantation (KT), donor-specific hyporesponsiveness (DSH) of recipient T cells develops over time. Recently, apoptosis was identified as a possible underlying mechanism. In this study, both transcriptomic profiles and complete V(D)J variable regions of TR transcripts from individual alloreactive T cells of kidney transplant recipients were determined with single-cell RNA sequencing. Alloreactive T cells were identified by CD137 expression after stimulation of peripheral blood mononuclear cells obtained from KT recipients (N = 7) prior to and 3-5 years after transplantation with cells of their donor or a third party control. The alloreactive T cells were sorted, sequenced and the transcriptome and T cell receptor profiles were analyzed using unsupervised clustering. Alloreactive T cells retain a highly polyclonal T Cell Receptor Alpha/Beta repertoire over time. Post transplantation, donor-reactive CD4+ T cells had a specific downregulation of genes involved in T cell cytokine-mediated pathways and apoptosis. The CD8+ donor-reactive T cell profile did not change significantly over time. Single-cell expression profiling shows that activated and pro-apoptotic donor-reactive CD4+ T cell clones are preferentially lost after transplantation in stable kidney transplant recipients.


Subject(s)
Kidney Transplantation , Kidney Transplantation/adverse effects , Leukocytes, Mononuclear , Receptors, Antigen, T-Cell , Apoptosis , Sequence Analysis, RNA
2.
Clin Exp Immunol ; 213(3): 371-383, 2023 Oct 13.
Article in English | MEDLINE | ID: mdl-37070703

ABSTRACT

Acute T-cell-mediated rejection (aTCMR) still remains a clinical problem after kidney transplantation despite significant improvements in immunosuppressive regimens. Polyfunctional T cells, i.e. T cells producing multiple pro-inflammatory cytokines, are believed to be the most relevant T cells in an immune response. The aim of this study was to determine whether polyfunctional donor-reactive T cells are associated with aTCMR. In a case-control study, 49 kidney transplant recipients with a biopsy-proven aTCMR in the first year after transplantation were included, as well as 51 controls without aTCMR. Circulating donor-reactive T cells were identified by the expression of CD137 after short-term co-culture with donor antigen-presenting cells. Polyfunctional donor-reactive T cells were further characterized by dissection into different T-cell subsets encompassing the spectrum of naïve to terminally differentiated effector T cells. Prior to kidney transplantation, proportions of donor-reactive CD4+ (0.03% versus 0.02%; P < 0.01) and CD8+ (0.18% versus 0.10%; P < 0.01) CD137++ T cells were significantly higher in recipients with a biopsy-proven aTCMR versus non-rejectors. Polyfunctionality was higher (P = 0.03) in this subset of CD137-expressing T cells. These cells were predominantly of the EM/EMRA-phenotype, with polyfunctional donor-reactive CD137++CD4+ T cells predominantly co-expressing CD28 whereas approximately half of the polyfunctional CD137++CD8+ T cells co-expressed CD28. In addition, at the time of aTCMR, polyfunctional donor-reactive CD137++ CD4+, but not CD8+, T cells, were specifically decreased by 75% compared to before transplantation in recipients with as well as those without an aTCMR. Prior to transplantation, the proportion of polyfunctional donor-reactive CD137++ T cells is associated with the occurrence of a biopsy-proven aTCMR within the first year after transplantation.

3.
J Immunol ; 209(7): 1389-1400, 2022 10 01.
Article in English | MEDLINE | ID: mdl-36165198

ABSTRACT

Following kidney transplantation, donor-specific hyporesponsiveness (DSH) may develop, defined as a lowered response of alloreactive T cells, specifically directed to donor Ag. This study aimed to characterize the nature of DSH through multiparameter flow cytometric assays measuring changes in phenotype and function of donor-reactive T cells after transplantation. This study characterized donor-reactive T cells, identified by CD137 expression, from the peripheral blood of stable human kidney transplant recipients (n = 47) before, at 3-5 y after, and >5 y after transplantation. The phenotype (T cell subset, differentiation status, and transcription factor expression) and function (proinflammatory cytokine production) of CD4+ and CD8+ donor-reactive CD137+ T cells was evaluated by both supervised and unsupervised analyses. Results demonstrated a decline in CD4+ donor-reactive T cells within the first 3-5 y after transplantation. Predominantly, the population of effector memory T cells capable of producing two or more proinflammatory cytokines was affected. This decline was strongly correlated with reduced proliferation of CD4+ T cells to donor Ag. The donor-reactive CD8+ T cells declined substantially only after >10 y. The frequency of T cells reactive to unrelated alloantigens did not alter significantly after transplantation, excluding an aspecific effect of immunosuppressive medication. After transplantation, an increase in donor Ag-induced apoptosis was found, specifically within the donor-reactive CD4+ memory T cell subsets. In conclusion, a significant decrease in donor-reactive polyfunctional effector memory CD4+ T cells underlies the development of DSH in kidney transplant recipients, which is likely mediated by specific activation-induced cell death.


Subject(s)
Kidney Transplantation , Apoptosis , CD4-Positive T-Lymphocytes , CD8-Positive T-Lymphocytes , Cytokines/pharmacology , Graft Rejection , Humans , Isoantigens , Memory T Cells , Transcription Factors , Transplant Recipients
4.
Front Immunol ; 12: 656846, 2021.
Article in English | MEDLINE | ID: mdl-33995373

ABSTRACT

Development of T-cell hyporesponsiveness to donor antigen may explain the substantial decreased risk for acute rejection in the years following kidney transplantation. The underlying mechanisms of donor-specific hyporesponsiveness (DSH) are largely unknown but may allow for lowering of immunosuppressive medication. Due to the onset of DSH being more rapid and pronounced in older recipients (+55 years), we hypothesized that immunosenescence/exhaustion of T lymphocytes would be a contributing factor. This study tested whether donor-reactive recipient T cells become hyporesponsive due to exhaustion from continuous stimulation by donor antigen. Circulating donor-reactive T cells of both young and elderly stable kidney transplant recipients (N=17) before and 3-5 years after transplantation were analyzed at the single cell level for expression of exhaustion markers by multi-parameter flow cytometry followed by unsupervised and unbiased clustering. Clusters containing cells of a particular expression profile with significant differential abundance after transplantation were identified and further analyzed. Unexpectedly, our results do not demonstrate an increase in exhausted donor antigen-reactive T cells post transplantation. Instead, we demonstrate a significant decrease in donor antigen-reactive CD4+ T cells expressing T cell immunoglobulin and ITIM domain (TIGIT) long after transplantation. Further analysis at earlier timepoints indicated that this decrease is already present at six months post transplantation. Characterization of these CD4+ T donor-reactive cells expressing TIGIT revealed them to have a predominantly central and effector memory T cell phenotype and a highly poly-functional cytokine expression profile. This study has therefore identified TIGIT as a marker for a previously undescribed polyfunctional donor-reactive CD4+ T cell population whose decline following kidney transplantation may explain development of DSH.


Subject(s)
Aging/genetics , Aging/immunology , CD4-Positive T-Lymphocytes/immunology , Gene Expression , Kidney Transplantation , Receptors, Immunologic/genetics , Adult , Age Factors , Aged , Biomarkers , Cell Survival/genetics , Cell Survival/immunology , Female , Humans , Immunophenotyping , Lymphocyte Depletion , Male , Middle Aged , Receptors, Immunologic/metabolism , Tissue Donors , Transplant Recipients , Young Adult
5.
Front Immunol ; 11: 1999, 2020.
Article in English | MEDLINE | ID: mdl-33013853

ABSTRACT

Transcriptomics can be combined with TRA and TRB clonotype analysis at the single cell level. The aim of this study was to validate this approach on the ICELL8 Single-Cell system and to evaluate its usefulness to analyse clinical paucicellular samples. For this purpose, we carefully selected T cell lines with defined TRA/TRB clonotypes as well as clinical samples enriched for CD3+ T cells that possess a complex TCR repertoire. Low cell numbers of the different samples were dispensed in a chip on the ICELL8 Single-Cell System. Two sequencing libraries were generated from each single cell cDNA preparation, one for the TRA/TRB repertoire and one for the 5' ends of transcripts, and subsequently sequenced. Transcriptome analysis revealed that the cell lines on average express 2,268 unique genes/cell and T cells of clinical samples 770 unique genes/cell. The expected combined TRA/TRB clonotype was determined for on average 71% of the cells of the cell lines. In the clinical samples the TRA/TRB repertoire was more complex than those of the cell lines. Furthermore, the TRB clonotype distribution of the clinical samples was positively correlated to frequencies of TCRVß families in CD3+ T cells obtained by a flow cytometry-based approach (Spearman's Rho correlation coefficient 0.81, P = 6.49 * 10-7). Combined analyses showed that transcriptome-based cell type-specific clusters in clinical samples corresponded to clinical features such as CMV status. In conclusion, we showed that the ICELL8 Single-Cell System enabled combined interrogation of both TRA/TRB repertoire and transcriptome of paucicellular clinical samples. This opens the way to study the response of single T cells within heterogeneous samples for both their transcriptome and TRA/TRB clonotypes in disease or upon treatment.


Subject(s)
Receptors, Antigen, T-Cell, alpha-beta/genetics , T-Lymphocytes/physiology , Transcriptome/immunology , Cell Line , Clone Cells , Computational Biology , Flow Cytometry , High-Throughput Nucleotide Sequencing , Humans , Single-Cell Analysis
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