Literature DB >> 32404353

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

Martin Eichmann1, Roman Baptista2,3, Richard J Ellis3, Susanne Heck3, Mark Peakman2,3,4, Craig A Beam5.   

Abstract

We previously reported that costimulation blockade by abatacept limits the decline of β-cell function and the frequency of circulating CD4+ central memory T cells (TCM) (CD45RO+CD62L+) in new-onset type 1 diabetes. In human subjects receiving placebo, we found a significant association between an increase in CD4+ TCM cells and the decline of β-cell function. To extend and refine these findings, we examined changes in human CD4+ and CD8+ naive and memory T cell subsets at greater resolution using polychromatic flow and mass cytometry. In the placebo group, we successfully reproduced the original finding of a significant association between TCM and β-cell function and extended this to other T cell subsets. Furthermore, we show that abatacept treatment significantly alters the frequencies of a majority of CD4+ conventional and regulatory T cell subsets; in general, Ag-naive subsets increase and Ag-experienced subsets decrease, whereas CD8+ T cell subsets are relatively resistant to drug effects, indicating a lesser reliance on CD28-mediated costimulation. Importantly, abatacept uncouples the relationship between changes in T cell subsets and β-cell function that is a component of the natural history of the disease. Although these data suggest immunological markers for predicting change in β-cell function in type 1 diabetes, the finding that abatacept blunts this relationship renders the biomarkers nonpredictive for this type of therapy. In sum, our findings point to a novel mechanism of action for this successful immunotherapy that may guide other disease-modifying approaches for type 1 diabetes.
Copyright © 2020 by The American Association of Immunologists, Inc.

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Year:  2020        PMID: 32404353      PMCID: PMC7378361          DOI: 10.4049/jimmunol.1901439

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  26 in total

1.  CTLA4Ig: bridging the basic immunology with clinical application.

Authors:  Jeffrey A Bluestone; E William St Clair; Laurence A Turka
Journal:  Immunity       Date:  2006-03       Impact factor: 31.745

2.  Dynamic Immune Phenotypes of B and T Helper Cells Mark Distinct Stages of T1D Progression.

Authors:  Tania Habib; S Alice Long; Peter L Samuels; Archana Brahmandam; Megan Tatum; Andrew Funk; Anne M Hocking; Karen Cerosaletti; Michael T Mason; Elizabeth Whalen; David J Rawlings; Carla Greenbaum; Jane H Buckner
Journal:  Diabetes       Date:  2019-03-20       Impact factor: 9.461

3.  Superior T memory stem cell persistence supports long-lived T cell memory.

Authors:  Enrico Lugli; Maria H Dominguez; Luca Gattinoni; Pratip K Chattopadhyay; Diane L Bolton; Kaimei Song; Nichole R Klatt; Jason M Brenchley; Monica Vaccari; Emma Gostick; David A Price; Thomas A Waldmann; Nicholas P Restifo; Genoveffa Franchini; Mario Roederer
Journal:  J Clin Invest       Date:  2013-01-02       Impact factor: 14.808

Review 4.  Understanding Subset Diversity in T Cell Memory.

Authors:  Stephen C Jameson; David Masopust
Journal:  Immunity       Date:  2018-02-20       Impact factor: 31.745

5.  Quiescence of Memory CD8(+) T Cells Is Mediated by Regulatory T Cells through Inhibitory Receptor CTLA-4.

Authors:  Vandana Kalia; Laura Anne Penny; Yevgeniy Yuzefpolskiy; Florian Martin Baumann; Surojit Sarkar
Journal:  Immunity       Date:  2015-06-16       Impact factor: 31.745

Review 6.  The biology of interleukin-2.

Authors:  Thomas R Malek
Journal:  Annu Rev Immunol       Date:  2008       Impact factor: 28.527

Review 7.  Diversity in T cell memory: an embarrassment of riches.

Authors:  Stephen C Jameson; David Masopust
Journal:  Immunity       Date:  2009-12-18       Impact factor: 31.745

Review 8.  Control of peripheral T-cell tolerance and autoimmunity via the CTLA-4 and PD-1 pathways.

Authors:  Brian T Fife; Jeffrey A Bluestone
Journal:  Immunol Rev       Date:  2008-08       Impact factor: 12.988

9.  Costimulation modulation with abatacept in patients with recent-onset type 1 diabetes: follow-up 1 year after cessation of treatment.

Authors:  Tihamer Orban; Brian Bundy; Dorothy J Becker; Linda A Dimeglio; Stephen E Gitelman; Robin Goland; Peter A Gottlieb; Carla J Greenbaum; Jennifer B Marks; Roshanak Monzavi; Antoinette Moran; Mark Peakman; Philip Raskin; William E Russell; Desmond Schatz; Diane K Wherrett; Darrell M Wilson; Jeffrey P Krischer; Jay S Skyler
Journal:  Diabetes Care       Date:  2013-12-02       Impact factor: 19.112

10.  Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry.

Authors:  Jennie H M Yang; Leena Khatri; Marius Mickunas; Evangelia Williams; Danijela Tatovic; Mohammad Alhadj Ali; Philippa Young; Penelope Moyle; Vishal Sahni; Ryan Wang; Rejbinder Kaur; Gillian M Tannahill; Andrew R Beaton; Danielle M Gerlag; Caroline O S Savage; Antonella Napolitano Rosen; Frank Waldron-Lynch; Colin M Dayan; Timothy I M Tree
Journal:  Front Immunol       Date:  2019-10-31       Impact factor: 7.561

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  3 in total

Review 1.  Analyzing high-dimensional cytometry data using FlowSOM.

Authors:  Katrien Quintelier; Artuur Couckuyt; Annelies Emmaneel; Joachim Aerts; Yvan Saeys; Sofie Van Gassen
Journal:  Nat Protoc       Date:  2021-06-25       Impact factor: 13.491

2.  Plasma Membrane Calcium ATPase Regulates Stoichiometry of CD4+ T-Cell Compartments.

Authors:  Maylin Merino-Wong; Barbara A Niemeyer; Dalia Alansary
Journal:  Front Immunol       Date:  2021-05-21       Impact factor: 7.561

Review 3.  Nanotechnology in Immunotherapy for Type 1 Diabetes: Promising Innovations and Future Advances.

Authors:  Saumya Nigam; Jack Owen Bishop; Hanaan Hayat; Tahnia Quadri; Hasaan Hayat; Ping Wang
Journal:  Pharmaceutics       Date:  2022-03-15       Impact factor: 6.321

  3 in total

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