HLA A*24:02–restricted T cell receptors cross-recognize bacterial and preproinsulin peptides in type 1 diabetes

CD8+ T cells destroy insulin-producing pancreatic β cells in type 1 diabetes through HLA class I-restricted presentation of self-antigens. Combinatorial peptide library screening was used to produce a preferred peptide recognition landscape for a patient-derived T cell receptor (TCR) that recognized the preproinsulin-derived (PPI-derived) peptide sequence LWMRLLPLL in the context of disease risk allele HLA A*24:02. Data were used to generate a strong superagonist peptide, enabling production of an autoimmune HLA A*24:02-peptide-TCR structure by crystal seeding. TCR binding to the PPI epitope was strongly focused on peptide residues Arg4 and Leu5, with more flexibility at other positions, allowing the TCR to strongly engage many peptides derived from pathogenic bacteria. We confirmed an epitope from Klebsiella that was recognized by PPI-reactive T cells from 3 of 3 HLA A*24:02+ patients. Remarkably, the same epitope selected T cells from 7 of 8 HLA A*24+ healthy donors that cross-reacted with PPI, leading to recognition and killing of HLA A*24:02+ cells expressing PPI. These data provide a mechanism by which molecular mimicry between pathogen and self-antigens could have resulted in the breaking of self-tolerance to initiate disease.

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Publication Details

Journal
Journal of Clinical Investigation
Published
2024-09-16
DOI
https://doi.org/10.1172/jci164535
Citations
8
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
4.40

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article

HLA A*24:02–restricted T cell receptors cross-recognize bacterial and preproinsulin peptides in type 1 diabetes

Aaron Wall, Théo Morin, Andrew Kelvin Sewell, Anna Bulek et al.
8 citations
Journal of Clinical Investigation
Diabetes and associated disorders
4.40
article

HLA A*24:02–restricted T cell receptors cross-recognize bacterial and preproinsulin peptides in type 1 diabetes

Aaron Wall, Théo Morin, Andrew Kelvin Sewell, Anna Bulek, Thomas Whalley, P.J. Rizkallah, David K. Cole, Lucy C. Jones, Anna Fuller, Katie Topley, Barbara Szomolay, Jade R. Hopkins, Nirupa D’Souza, Garry Dolton, Md Samiul Hasan, Hugo A. van den Berg, Deborah Kronenberg‐Versteeg, Mark Peakman, Nader Omidvar, Sarah A. E. Galloway, O. Brad Spiller, Shikha Jain, Cristina Rius, Li Rong Tan, Thomas Hodges-Hoyland, Hannah Thomas
article en
8 citations

Abstract

CD8+ T cells destroy insulin-producing pancreatic β cells in type 1 diabetes through HLA class I-restricted presentation of self-antigens. Combinatorial peptide library screening was used to produce a preferred peptide recognition landscape for a patient-derived T cell receptor (TCR) that recognized the preproinsulin-derived (PPI-derived) peptide sequence LWMRLLPLL in the context of disease risk allele HLA A*24:02. Data were used to generate a strong superagonist peptide, enabling production of an autoimmune HLA A*24:02-peptide-TCR structure by crystal seeding. TCR binding to the PPI epitope was strongly focused on peptide residues Arg4 and Leu5, with more flexibility at other positions, allowing the TCR to strongly engage many peptides derived from pathogenic bacteria. We confirmed an epitope from Klebsiella that was recognized by PPI-reactive T cells from 3 of 3 HLA A*24:02+ patients. Remarkably, the same epitope selected T cells from 7 of 8 HLA A*24+ healthy donors that cross-reacted with PPI, leading to recognition and killing of HLA A*24:02+ cells expressing PPI. These data provide a mechanism by which molecular mimicry between pathogen and self-antigens could have resulted in the breaking of self-tolerance to initiate disease.

Journal of Clinical InvestigationVol. 134(18)
King's College London (GB), Cwm Taf University Health Board (GB), University of Warwick (GB), University of Wales Institute Cardiff (SG), Pontydysgu (GB), Cardiff University (GB)
Wellcome, Diamond Light Source, Health and Care Research Wales, Research Councils UK, Cardiff University, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council
Good health and well-being
Openalex Percentile: Top 5%
Diabetes and associated disorders
4.40
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