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1.
J Autoimmun ; 79: 63-73, 2017 May.
Article in English | MEDLINE | ID: mdl-28117148

ABSTRACT

Based on the success in animal models of type 1 diabetes (T1D), clinical trials of adoptive regulatory T cell (Treg) therapy are underway using ex vivo expanded polyclonal Tregs. However, pre-clinical data also demonstrate that islet-specific Tregs are more potent than polyclonal Tregs at reversing T1D. Translation of this approach into man will require methods to generate large populations of islet-specific Tregs which, to date, has proved to be a major hurdle. Here we demonstrate the feasibility of lentiviral-mediated T cell receptor (TCR) gene transfer to confer antigen specificity on polyclonal human Tregs. Targeting has been achieved using TCRs isolated from human islet-specific and viral-specific CD4+ T cell clones. Engineered T cells demonstrated expression of ectopically-delivered TCRs, resulting in endowment of cognate antigen-specific responses. This enabled antigen-specific suppression at increased potency compared to polyclonal Tregs. However, cells transduced with islet-specific TCRs were less responsive to cognate antigen than viral-specific TCRs, and in some cases, required additional methods to isolate functional antigen-specific Tregs. This study demonstrates the potential of TCR gene transfer to develop islet-specific Treg therapies for effective treatment of T1D, but also highlights that additional optimisation may be required to achieve its full potential.


Subject(s)
Islets of Langerhans/immunology , Receptors, Antigen, T-Cell/genetics , T-Cell Antigen Receptor Specificity/genetics , T-Lymphocytes, Regulatory/immunology , T-Lymphocytes, Regulatory/metabolism , Animals , Cell Line , Diabetes Mellitus, Type 1/genetics , Diabetes Mellitus, Type 1/immunology , Diabetes Mellitus, Type 1/metabolism , Diabetes Mellitus, Type 1/therapy , Disease Models, Animal , Epitopes, T-Lymphocyte/immunology , Gene Order , Gene Transfer Techniques , Genetic Therapy , Genetic Vectors/genetics , Humans , Jurkat Cells , Lentivirus/genetics , Mice , Transduction, Genetic
3.
Diabetes ; 63(11): 3835-45, 2014 Nov.
Article in English | MEDLINE | ID: mdl-24939426

ABSTRACT

Studies in type 1 diabetes indicate potential disease heterogeneity, notably in the rate of ß-cell loss, responsiveness to immunotherapies, and, in limited studies, islet pathology. We sought evidence for different immunological phenotypes using two approaches. First, we defined blood autoimmune response phenotypes by combinatorial, multiparameter analysis of autoantibodies and autoreactive T-cell responses in 33 children/adolescents with newly diagnosed diabetes. Multidimensional cluster analysis showed two equal-sized patient agglomerations characterized by proinflammatory (interferon-γ-positive, multiautoantibody-positive) and partially regulated (interleukin-10-positive, pauci-autoantibody-positive) responses. Multiautoantibody-positive nondiabetic siblings at high risk of disease progression showed similar clustering. Additionally, pancreas samples obtained post mortem from a separate cohort of 21 children/adolescents with recently diagnosed type 1 diabetes were examined immunohistologically. This revealed two distinct types of insulitic lesions distinguishable by the degree of cellular infiltrate and presence of B cells that we termed "hyper-immune CD20Hi" and "pauci-immune CD20Lo." Of note, subjects had only one infiltration phenotype and were partitioned by this into two equal-sized groups that differed significantly by age at diagnosis, with hyper-immune CD20Hi subjects being 5 years younger. These data indicate potentially related islet and blood autoimmune response phenotypes that coincide with and precede disease. We conclude that different immunopathological processes (endotypes) may underlie type 1 diabetes, carrying important implications for treatment and prevention strategies.


Subject(s)
Autoimmunity/immunology , Diabetes Mellitus, Type 1/immunology , Adolescent , Autoantibodies/immunology , Autoantibodies/metabolism , Autoantigens/immunology , Autoantigens/metabolism , CD4-Positive T-Lymphocytes/metabolism , Child , Child, Preschool , Diabetes Mellitus, Type 1/metabolism , Female , Humans , Male
4.
J Immunol ; 191(11): 5430-40, 2013 Dec 01.
Article in English | MEDLINE | ID: mdl-24163407

ABSTRACT

Extensive diversity in the human repertoire of TCRs for Ag is both a cornerstone of effective adaptive immunity that enables host protection against a multiplicity of pathogens and a weakness that gives rise to potential pathological self-reactivity. The complexity arising from diversity makes detection and tracking of single Ag-specific CD4 T cells (ASTs) involved in these immune responses challenging. We report a tandem, multistep process to quantify rare TCRß-chain variable sequences of ASTs in large polyclonal populations. The approach combines deep high-throughput sequencing (HTS) within functional CD4 T cell compartments, such as naive/memory cells, with shallow, multiple identifier-based HTS of ASTs identified by activation marker upregulation after short-term Ag stimulation in vitro. We find that clonotypes recognizing HLA class II-restricted epitopes of both pathogen-derived Ags and self-Ags are oligoclonal and typically private. Clonotype tracking within an individual reveals private AST clonotypes resident in the memory population, as would be expected, representing clonal expansions (identical nucleotide sequence; "ultraprivate"). Other AST clonotypes share CDR3ß amino acid sequences through convergent recombination and are found in memory populations of multiple individuals. Tandem HTS-based clonotyping will facilitate studying AST dynamics, epitope spreading, and repertoire changes that arise postvaccination and following Ag-specific immunotherapies for cancer and autoimmune disease.


Subject(s)
CD4-Positive T-Lymphocytes/immunology , Cell Tracking/methods , Diabetes Mellitus, Type 1/immunology , Immunotherapy, Adoptive , Receptors, Antigen, T-Cell, alpha-beta/genetics , T-Lymphocyte Subsets/immunology , Autoantigens/immunology , Autoantigens/metabolism , Clonal Selection, Antigen-Mediated/genetics , Clone Cells , Diabetes Mellitus, Type 1/therapy , Epitopes, T-Lymphocyte/metabolism , Genetic Variation/immunology , HLA-DR4 Antigen/metabolism , High-Throughput Nucleotide Sequencing , Humans , Immunologic Memory , Insulin-Secreting Cells/metabolism , Interferon-gamma/metabolism , Protein Binding/immunology , Receptors, Antigen, T-Cell, alpha-beta/immunology , T-Cell Antigen Receptor Specificity/genetics
5.
Diabetes ; 61(7): 1752-9, 2012 Jul.
Article in English | MEDLINE | ID: mdl-22522618

ABSTRACT

Type 1 diabetes results from T cell-mediated ß-cell destruction. The HLA-A*24 class I gene confers significant risk of disease and early onset. We tested the hypothesis that HLA-A24 molecules on islet cells present preproinsulin (PPI) peptide epitopes to CD8 cytotoxic T cells (CTLs). Surrogate ß-cell lines secreting proinsulin and expressing HLA-A24 were generated and their peptide ligandome examined by mass spectrometry to discover naturally processed and HLA-A24-presented PPI epitopes. A novel PPI epitope was identified and used to generate HLA-A24 tetramers and examine the frequency of PPI-specific T cells in new-onset HLA-A*24(+) patients and control subjects. We identified a novel naturally processed and HLA-A24-presented PPI signal peptide epitope (PPI(3-11); LWMRLLPLL). HLA-A24 tetramer analysis reveals a significant expansion of PPI(3-11)-specific CD8 T cells in the blood of HLA-A*24(+) recent-onset patients compared with HLA-matched control subjects. Moreover, a patient-derived PPI(3-11)-specific CD8 T-cell clone shows a proinflammatory phenotype and kills surrogate ß-cells and human HLA-A*24(+) islet cells in vitro. These results indicate that the type 1 diabetes susceptibility molecule HLA-A24 presents a naturally processed PPI signal peptide epitope. PPI-specific, HLA-A24-restricted CD8 T cells are expanded in patients with recent-onset disease. Human islet cells process and present PPI(3-11), rendering themselves targets for CTL-mediated killing.


Subject(s)
CD8-Positive T-Lymphocytes/immunology , Diabetes Mellitus, Type 1/immunology , HLA-A24 Antigen/immunology , Insulin-Secreting Cells/immunology , Insulin/immunology , Protein Precursors/immunology , Protein Sorting Signals , Adult , Autoantibodies/blood , Autoantibodies/immunology , Cell Death/immunology , Cell Line , Epitopes, T-Lymphocyte/immunology , Female , Glutamate Decarboxylase/immunology , Humans , Insulin/blood , Male , Middle Aged , Protein Precursors/blood , Young Adult
6.
Microbiology (Reading) ; 156(Pt 11): 3445-3455, 2010 Nov.
Article in English | MEDLINE | ID: mdl-20688819

ABSTRACT

Chaperone and protease systems play essential roles in cellular homeostasis and have vital functions in controlling the abundance of specific cellular proteins involved in processes such as transcription, replication, metabolism and virulence. Bacteria have evolved accurate regulatory systems to control the expression and function of chaperones and potentially destructive proteases. Here, we have used a combination of transcriptomics, proteomics and targeted mutagenesis to reveal that the clp gene regulator (ClgR) of Mycobacterium tuberculosis activates the transcription of at least ten genes, including four that encode protease systems (ClpP1/C, ClpP2/C, PtrB and HtrA-like protease Rv1043c) and three that encode chaperones (Acr2, ClpB and the chaperonin Rv3269). Thus, M. tuberculosis ClgR controls a larger network of protein homeostatic and regulatory systems than ClgR in any other bacterium studied to date. We demonstrate that ClgR-regulated transcriptional activation of these systems is essential for M. tuberculosis to replicate in macrophages. Furthermore, we observe that this defect is manifest early in infection, as M. tuberculosis lacking ClgR is deficient in the ability to control phagosome pH 1 h post-phagocytosis.


Subject(s)
Bacterial Proteins/metabolism , Gene Expression Regulation, Bacterial , Molecular Chaperones/genetics , Mycobacterium tuberculosis/genetics , Peptide Hydrolases/genetics , Regulon , Animals , Bacterial Proteins/genetics , Binding Sites , Cells, Cultured , Gene Deletion , Gene Expression Profiling , Genes, Regulator , Genetic Complementation Test , Macrophages/microbiology , Mice , Mycobacterium tuberculosis/metabolism , Phagosomes/microbiology , Proteomics , Transcriptional Activation
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