Literature DB >> 31815738

Autoreactive CD8+ T cell exhaustion distinguishes subjects with slow type 1 diabetes progression.

Alice E Wiedeman1, Virginia S Muir2, Mario G Rosasco2, Hannah A DeBerg2, Scott Presnell2, Bertrand Haas2, Matthew J Dufort2, Cate Speake3, Carla J Greenbaum3, Elisavet Serti4, Gerald T Nepom1,4, Gabriele Blahnik1, Anna M Kus1, Eddie A James1, Peter S Linsley2, S Alice Long1.   

Abstract

Although most patients with type 1 diabetes (T1D) retain some functional insulin-producing islet β cells at the time of diagnosis, the rate of further β cell loss varies across individuals. It is not clear what drives this differential progression rate. CD8+ T cells have been implicated in the autoimmune destruction of β cells. Here, we addressed whether the phenotype and function of autoreactive CD8+ T cells influence disease progression. We identified islet-specific CD8+ T cells using high-content, single-cell mass cytometry in combination with peptide-loaded MHC tetramer staining. We applied a new analytical method, DISCOV-R, to characterize these rare subsets. Autoreactive T cells were phenotypically heterogeneous, and their phenotype differed by rate of disease progression. Activated islet-specific CD8+ memory T cells were prevalent in subjects with T1D who experienced rapid loss of C-peptide; in contrast, slow disease progression was associated with an exhaustion-like profile, with expression of multiple inhibitory receptors, limited cytokine production, and reduced proliferative capacity. This relationship between properties of autoreactive CD8+ T cells and the rate of T1D disease progression after onset make these phenotypes attractive putative biomarkers of disease trajectory and treatment response and reveal potential targets for therapeutic intervention.

Entities:  

Keywords:  Autoimmune diseases; Autoimmunity; Diabetes; Immunology; T cells

Year:  2020        PMID: 31815738      PMCID: PMC6934185          DOI: 10.1172/JCI126595

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  69 in total

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Journal:  J Autoimmun       Date:  2013-12-30       Impact factor: 7.094

Review 2.  The primacy of CD8 T lymphocytes in type 1 diabetes and implications for therapies.

Authors:  Denise L Faustman; Miriam Davis
Journal:  J Mol Med (Berl)       Date:  2009-08-21       Impact factor: 4.599

3.  An Anti-CD3 Antibody, Teplizumab, in Relatives at Risk for Type 1 Diabetes.

Authors:  Kevan C Herold; Brian N Bundy; S Alice Long; Jeffrey A Bluestone; Linda A DiMeglio; Matthew J Dufort; Stephen E Gitelman; Peter A Gottlieb; Jeffrey P Krischer; Peter S Linsley; Jennifer B Marks; Wayne Moore; Antoinette Moran; Henry Rodriguez; William E Russell; Desmond Schatz; Jay S Skyler; Eva Tsalikian; Diane K Wherrett; Anette-Gabriele Ziegler; Carla J Greenbaum
Journal:  N Engl J Med       Date:  2019-06-09       Impact factor: 91.245

4.  Combinatorial tetramer staining and mass cytometry analysis facilitate T-cell epitope mapping and characterization.

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Journal:  Nat Biotechnol       Date:  2013-06-09       Impact factor: 54.908

5.  Simultaneous detection of circulating autoreactive CD8+ T-cells specific for different islet cell-associated epitopes using combinatorial MHC multimers.

Authors:  Jurjen H Velthuis; Wendy W Unger; Joana R F Abreu; Gaby Duinkerken; Kees Franken; Mark Peakman; Arnold H Bakker; Sine Reker-Hadrup; Bart Keymeulen; Jan Wouter Drijfhout; Ton N Schumacher; Bart O Roep
Journal:  Diabetes       Date:  2010-03-31       Impact factor: 9.461

6.  Beta 2-microglobulin-deficient NOD mice do not develop insulitis or diabetes.

Authors:  L S Wicker; E H Leiter; J A Todd; R J Renjilian; E Peterson; P A Fischer; P L Podolin; M Zijlstra; R Jaenisch; L B Peterson
Journal:  Diabetes       Date:  1994-03       Impact factor: 9.461

7.  Clinical manifestations and beta cell function in Swedish diabetic children have remained unchanged during the last 25 years.

Authors:  Maria Nordwall; Johnny Ludvigsson
Journal:  Diabetes Metab Res Rev       Date:  2008-09       Impact factor: 4.876

8.  Identification and Analysis of Islet Antigen-Specific CD8+ T Cells with T Cell Libraries.

Authors:  Hideki Ogura; Paula Preston-Hurlburt; Ana Luisa Perdigoto; Matthew Amodio; Smita Krishnaswamy; Pamela Clark; Hua Yu; Dieter Egli; Alexandra Fouts; Andrea K Steck; Kevan C Herold
Journal:  J Immunol       Date:  2018-08-06       Impact factor: 5.422

9.  β-cell-specific CD8 T cell phenotype in type 1 diabetes reflects chronic autoantigen exposure.

Authors:  Ania Skowera; Kristin Ladell; David A Price; Mark Peakman; James E McLaren; Garry Dolton; Katherine K Matthews; Emma Gostick; Deborah Kronenberg-Versteeg; Martin Eichmann; Robin R Knight; Susanne Heck; Jake Powrie; Polly J Bingley; Colin M Dayan; John J Miles; Andrew K Sewell
Journal:  Diabetes       Date:  2014-09-23       Impact factor: 9.461

10.  flowCore: a Bioconductor package for high throughput flow cytometry.

Authors:  Florian Hahne; Nolwenn LeMeur; Ryan R Brinkman; Byron Ellis; Perry Haaland; Deepayan Sarkar; Josef Spidlen; Errol Strain; Robert Gentleman
Journal:  BMC Bioinformatics       Date:  2009-04-09       Impact factor: 3.169

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  43 in total

Review 1.  Inhibitory receptor agonists: the future of autoimmune disease therapeutics?

Authors:  Stephanie Grebinoski; Dario Aa Vignali
Journal:  Curr Opin Immunol       Date:  2020-06-30       Impact factor: 7.486

2.  T-Cell Epitopes and Neo-epitopes in Type 1 Diabetes: A Comprehensive Update and Reappraisal.

Authors:  Eddie A James; Roberto Mallone; Sally C Kent; Teresa P DiLorenzo
Journal:  Diabetes       Date:  2020-07       Impact factor: 9.461

3.  Costimulation Blockade Disrupts CD4+ T Cell Memory Pathways and Uncouples Their Link to Decline in β-Cell Function in Type 1 Diabetes.

Authors:  Martin Eichmann; Roman Baptista; Richard J Ellis; Susanne Heck; Mark Peakman; Craig A Beam
Journal:  J Immunol       Date:  2020-05-13       Impact factor: 5.422

4.  Guidelines for standardizing T-cell cytometry assays to link biomarkers, mechanisms, and disease outcomes in type 1 diabetes.

Authors:  Jennie H M Yang; Kirsten A Ward-Hartstonge; Daniel J Perry; J Lori Blanchfield; Amanda L Posgai; Alice E Wiedeman; Kirsten Diggins; Adeeb Rahman; Timothy I M Tree; Todd M Brusko; Megan K Levings; Eddie A James; Sally C Kent; Cate Speake; Dirk Homann; S Alice Long
Journal:  Eur J Immunol       Date:  2022-01-28       Impact factor: 5.532

5.  Spontaneous and Immune Checkpoint Inhibitor-Induced Autoimmune Diseases: Analysis of Temporal Information by Using the Japanese Adverse Drug Event Report Database.

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Journal:  Clin Drug Investig       Date:  2021-06-10       Impact factor: 2.859

6.  Tracking immunodynamics by identification of S-G2/M-phase T cells in human peripheral blood.

Authors:  Miguel Muñoz-Ruiz; Irma Pujol-Autonell; Hefin Rhys; Heather M Long; Maria Greco; Mark Peakman; Tim Tree; Adrian C Hayday; Francesca Di Rosa
Journal:  J Autoimmun       Date:  2020-05-12       Impact factor: 7.094

Review 7.  Modeling Type 1 Diabetes Using Pluripotent Stem Cell Technology.

Authors:  Kriti Joshi; Fergus Cameron; Swasti Tiwari; Stuart I Mannering; Andrew G Elefanty; Edouard G Stanley
Journal:  Front Endocrinol (Lausanne)       Date:  2021-04-01       Impact factor: 5.555

8.  CD8+ T Cells Variably Recognize Native Versus Citrullinated GRP78 Epitopes in Type 1 Diabetes.

Authors:  Marie Eliane Azoury; Fatoumata Samassa; Mijke Buitinga; Laura Nigi; Noemi Brusco; Aïsha Callebaut; Matthieu Giraud; Magali Irla; Ana Ines Lalanne; Alexia Carré; Georgia Afonso; Zhicheng Zhou; Barbara Brandao; Maikel L Colli; Guido Sebastiani; Francesco Dotta; Maki Nakayama; Decio L Eizirik; Sylvaine You; Sheena Pinto; Mark J Mamula; Yann Verdier; Joelle Vinh; Soren Buus; Chantal Mathieu; Lut Overbergh; Roberto Mallone
Journal:  Diabetes       Date:  2021-09-24       Impact factor: 9.461

9.  A human mutation in STAT3 promotes type 1 diabetes through a defect in CD8+ T cell tolerance.

Authors:  Jeremy T Warshauer; Julia A Belk; Alice Y Chan; Jiaxi Wang; Alexander R Gupta; Quanming Shi; Nikolaos Skartsis; Yani Peng; Jonah D Phipps; Dante Acenas; Jennifer A Smith; Stanley J Tamaki; Qizhi Tang; James M Gardner; Ansuman T Satpathy; Mark S Anderson
Journal:  J Exp Med       Date:  2021-06-11       Impact factor: 14.307

10.  Enrichment and Detection of Antigen-Binding B Cells for Mass Cytometry.

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Journal:  Magnetochemistry       Date:  2021-06-23
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