Literature DB >> 22069252

Immunology of Diabetes Society T-Cell Workshop: HLA class II tetramer-directed epitope validation initiative.

E A James1, R Mallone, N C Schloot, M C Gagnerault, J Thorpe, L Fitzgerald-Miller, J Reichow, R Wagner, M N Pham, N Jospe, O Lou, P A Gottlieb, B M Brooks-Worrell, Ivana Durinovic-Belló.   

Abstract

BACKGROUND: Islet-antigen-specific CD4+ T cells are known to promote auto-immune destruction in T1D. Measuring T-cell number and function provides an important biomarker. In response to this need, we evaluated responses to proinsulin and GAD epitopes in a multicentre study.
METHODS: A tetramer-based assay was used in five participating centres to measure T-cell reactivities to DR0401-restricted epitopes. Three participating centres concurrently performed ELISPOT or immunoblot assays. Each centre used blind-coded, centrally distributed peptide and tetramer reagents.
RESULTS: All participating centres detected responses to auto-antigens and the positive control antigen, and in some cases cloned the corresponding T cells. However, response rates varied among centres. In total, 74% of patients were positive for at least one islet epitope. The most commonly recognized epitope was GAD270-285. Only a minority of the patients tested by tetramer and ELISPOT were concordant for both assays.
CONCLUSIONS: This study successfully detected GAD and proinsulin responses using centrally distributed blind-coded reagents. Centres with little previous experience using class II tetramer reagents implemented the assay. The variability in response rates observed for different centres suggests technical difficulties and/or heterogeneity within the local patient populations tested. Dual analysis by tetramer and ELISPOT or immunoblot assays was frequently discordant, suggesting that these assays detect distinct cell populations. Future efforts should investigate shared blood samples to evaluate assay reproducibility and longitudinal samples to identify changes in T-cell phenotype that correlate with changes in disease course.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 22069252     DOI: 10.1002/dmrr.1244

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  9 in total

1.  Is there evidence for post-translational modification of beta cell autoantigens in the aetiology and pathogenesis of type 1 diabetes?

Authors:  Ake Lernmark
Journal:  Diabetologia       Date:  2013-09-11       Impact factor: 10.122

2.  Standardizing T-Cell Biomarkers in Type 1 Diabetes: Challenges and Recent Advances.

Authors:  Simi Ahmed; Karen Cerosaletti; Eddie James; S Alice Long; Stuart Mannering; Cate Speake; Maki Nakayama; Timothy Tree; Bart O Roep; Kevan C Herold; Todd M Brusko
Journal:  Diabetes       Date:  2019-07       Impact factor: 9.461

Review 3.  Autoimmune Responses to Exosomes and Candidate Antigens Contribute to Type 1 Diabetes in Non-Obese Diabetic Mice.

Authors:  Yang D Dai; Huiming Sheng; Peter Dias; M Jubayer Rahman; Roman Bashratyan; Danielle Regn; Kristi Marquardt
Journal:  Curr Diab Rep       Date:  2017-10-28       Impact factor: 4.810

Review 4.  Pathogenic and regulatory T cells in type 1 diabetes: losing self-control, restoring it, and how to take the temperature.

Authors:  Slobodan Culina; Roberto Mallone
Journal:  Curr Diab Rep       Date:  2011-10       Impact factor: 4.810

5.  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

Review 6.  Vaccine against autoimmune disease: antigen-specific immunotherapy.

Authors:  Robert P Anderson; Bana Jabri
Journal:  Curr Opin Immunol       Date:  2013-03-13       Impact factor: 7.486

Review 7.  SCT for severe autoimmune diseases: consensus guidelines of the European Society for Blood and Marrow Transplantation for immune monitoring and biobanking.

Authors:  T Alexander; A Bondanza; P A Muraro; R Greco; R Saccardi; T Daikeler; M Kazmi; C Hawkey; B P Simoes; K Leblanc; W E Fibbe; J Moore; E Snarski; T Martin; F Hiepe; A Velardi; A Toubert; J A Snowden; D Farge
Journal:  Bone Marrow Transplant       Date:  2014-11-10       Impact factor: 5.483

8.  Identification of Unique Antigenic Determinants in the Amino Terminus of IA-2 (ICA512) in Childhood and Adult Autoimmune Diabetes: New Biomarker Development.

Authors:  Maria Acevedo-Calado; Eddie A James; Michael P Morran; Susan L Pietropaolo; Qin Ouyang; David Arribas-Layton; Marco Songini; Marco Liguori; Anna Casu; Richard J Auchus; Shuai Huang; Liping Yu; Aaron Michels; Roberto Gianani; Massimo Pietropaolo
Journal:  Diabetes Care       Date:  2017-02-07       Impact factor: 19.112

9.  Optimization of a Method to Detect Autoantigen-Specific T-Cell Responses in Type 1 Diabetes.

Authors:  Yassmin Musthaffa; Hendrik J Nel; Nishta Ramnoruth; Swati Patel; Emma E Hamilton-Williams; Mark Harris; Ranjeny Thomas
Journal:  Front Immunol       Date:  2020-12-07       Impact factor: 7.561

  9 in total

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