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Identification of a type 1 diabetes-associated T cell receptor repertoire signature from the human peripheral blood

Rawat, P.; Shapiro, M. R.; Peters, L. D.; Widrich, M.; Mayer-Blackwell, K.; Motwani, K.; Pavlovi, M.; al Hajj, G.; Posgai, A. L.; Kanduri, C.; Isacchini, G.; Chernigovskaya, M.; Scheffer, L.; Motwani, K.; Balzano-Nogueira, L.; Pettenger-Willey, C. M.; Valkiers, S.; Jacobsen, L. M.; Haller, M. J.; Schatz, D. A.; Wasserfall, C. H.; Emerson, R. O.; Fiore-Gartland, A. J.; Atkinson, M. A.; Klambauer, G.; Sandve, G. K.; Greiff, V.; Brusko, T. M.

2024-12-12 genetic and genomic medicine
10.1101/2024.12.10.24318751 medRxiv
Show abstract

Type 1 Diabetes (T1D) is a T-cell mediated disease with a strong immunogenetic HLA dependence. HLA allelic influence on the T cell receptor (TCR) repertoire shapes thymic selection and controls activation of diabetogenic clones, yet remains largely unresolved in T1D. We sequenced the circulating TCR{beta} chain repertoire from 2250 HLA-typed individuals across three cross-sectional cohorts, including T1D patients, and healthy related and unrelated controls. We found that HLA risk alleles show higher restriction of TCR repertoires in T1D individuals. We leveraged deep learning to identify T1D-associated TCR subsequence motifs that were also observed in independent TCR cohorts residing in pancreas-draining lymph nodes of T1D individuals. Collectively, our data demonstrate T1D-related TCR motif enrichment based on genetic risk, offering a potential metric for autoreactivity and basis for TCR-based diagnostics and therapeutics.

Published in Science Advances (predicted rank #9) · training set

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