Th17 immunity in human leukocyte antigen DQ8-restricted islet-reactive T-cells is associated with pathogenesis of type 1 diabetes

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Abstract Summary

Background: Autoimmune diabetes (T1D) is a chronic disease that causes severe loss of insulin-producing β cells in the islet. CD4 T cells have a central role in the destruction of β cells, yet the limited knowledge on the phenotype of circulating islet-reactive CD4 T cells restricts our understanding of T1D and impedes the development of more effective diagnostic approaches.

Methods: A modified tetramer-based assay that improves the sensitivity of direct ex vivo detection was developed to study the rare autoreactive CD4 T cells in the periphery. An integrated immunological and bioinformatics approach was used to characterize islet-reactive CD4 T cells specific for HLA-DQ8-restricted immuno-dominant epitopes. 

Results: A highly heterogeneous population was observed within islet-reactive CD4 T cells. Despite the heterogeneity, increased percentages and frequencies of islet-reactive CD4 T cells expressing the Th17 lineage marker CCR6 were found in at-risk (AAb+) and T1D subjects, compared to healthy controls. Correlated with the skewed CCR6 expression, only islet-reactive CD4 T cells from subjects with T1D but not from healthy controls produced IL-17 and IL-21. Notably, cells from one T1D patient predominantly produced IL-4. Single-cell transcriptome analysis of longitudinal at-risk samples revealed extensive TCR clonotype sharing in islet-reactive CD4 T cells, with no public TCR specificity among subjects. Unique genetic signatures, namely the Th17 and Th2 pathways, were also identified from single-cell transcriptomics. 

Conclusion: Our observations suggest that distinct phenotypes are present during progression of T1D, and immune intervention targeting the Th17 pathway could be a promising treatment for some individuals at-risk of or with T1D. In addition, the HLA-DQ8-restricted islet-reactive CD4 T cells investigated in this study could be potential prognostic and predictive biomarkers for the disease.

Submission ID :
IDS13229
Submission Type
Abstract Topics

Associated Sessions

Benaroya Research Institute
Benaroya Research Institute
Benaroya Research Institute
Benaroya Research Institute
Benaroya Research Institute
Benaroya Research Institute
Benaroya Research Institute
Benaroya Research Institute
Benaroya Research Institute

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IDS75126
Poster Session A
Poster and oral
Dr Michelle So
7 visits

KEY DATES

Event dates:
Thursday 25 October - Monday 29 October 2018

Abstract submission deadline:
Monday 14 May 2018

Abstract notification:
July 2018

Early registration deadline:
Monday 3 September 2018

Registration deadline:
Monday 15 October 2018

Contact
British Society for Immunology
+44 (0)20 3019 5901
congress@immunology.org