JCI InsightImmunologyPeer-reviewed journal article
Tracking GAD-specific T-cell expansions in Type 1 diabetes by intradermal GAD-Alum challenge
Stephanie Jean HannaiD, Emma Robinson, Terri C. ThayeriD, Maki NakayamaiD, Laurie G. LandryiD, Robert AndrewsiD, Garry M. DoltoniD, Joanne E. DaviesiD, Evangelia Williams, James Alexander PearsoniD, Andrew Kelvin SewelliD, Parth NarendraniD, David Cameron WraithiD, Alexandra Howell, Philippa YoungiD, Mary Hart, Anton Lindqvist, Florence Susan WongiD, Timothy I. M. TreeiD, Colin Mark DayaniD, Danijela TatovićiD
Abstract
Identifying and monitoring autoreactive T cells that drive beta cell destruction remains a major obstacle to developing effective immunotherapies for type 1 diabetes (T1D). These cells are extremely rare in peripheral blood and cannot be accessed directly from the pancreas. We used intradermal injection of GAD-Alum to recruit GAD-specific T cells to accessible sites in the skin and skin-draining lymph nodes (LNs), sampled by skin suction blisters and ultrasound-guided LN aspiration. Peripheral blood samples obtained before GAD injection were restimulated with GAD in vitro to detect reactive CD4+ T cells. Re-expression of selected T cell receptors (TCRs) confirmed antigen specificity. Up to 70% of T cells at the skin injection site were clonally-expanded and 4 of 14 (28%) re-expressed TCRs were GAD-reactive. In draining LNs 1 of 14 (4%) clonally-expanded TCRs was GAD-reactive, representing [~]0.08% of all T-cells. GAD-reactive cells across compartments displayed Th1 and Th17-associated transcription signatures. These results demonstrate the intradermal autoantigen challenge, coupled with scRNAseq, enables direct identification and molecular profiling of autoreactive T cells in vivo. This minimally invasive approach provides a powerful platform for tracking antigen-specific specific T cells to monitor disease activity and evaluate immune interventions in T1D.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
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- FWCI
- 0.00
- Field percentile
- 1th percentile
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