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

Type 1 diabetes (T1D) is a T cell-mediated disease with a strong immunogenetic human leukocyte antigen (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 TCRβ chain repertoire from 2250 HLA-typed participants across three cross-sectional cohorts, including individuals with T1D and healthy related and unrelated controls. We found that HLA risk alleles show higher restriction of TCR repertoires in individuals with T1D. 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 individuals with T1D. Collectively, our data demonstrate T1D-related TCR motif enrichment based on genetic risk, offering a potential metric for autoreactivity and groundwork for TCR-based diagnostics and therapeutics.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2026-02-13
DOI
https://doi.org/10.1126/sciadv.adx7448
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Kartik Motwani, Leandro Balzano, Sebastiaan Valkiers, Amanda L. Posgai et al.
Science Advances
Diabetes and associated disorders
article

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

Kartik Motwani, Leandro Balzano, Sebastiaan Valkiers, Amanda L. Posgai, Michael Widrich, Milena Pavlović, Andrew Fioré-Gartland, K Motwani, Melanie R. Shapiro, Koshlan Mayer-Blackwell, Leeana D. Peters, Gnter Klambauer, Ghadi S. Al Hajj, Maria Chernigovskaya, Giulio Isacchini, Ryan Emerson, Lonneke Scheffer, Laura M. Jacobsen, Camryn M. Pettenger-Willey, Victor Greiff, Puneet Rawat, Todd M. Brusko, G K Sandve, Desmond A. Schatz, Michael J. Haller, Clive H. Wasserfall, Chakravarthi Kanduri
article en

Abstract

Type 1 diabetes (T1D) is a T cell-mediated disease with a strong immunogenetic human leukocyte antigen (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 TCRβ chain repertoire from 2250 HLA-typed participants across three cross-sectional cohorts, including individuals with T1D and healthy related and unrelated controls. We found that HLA risk alleles show higher restriction of TCR repertoires in individuals with T1D. 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 individuals with T1D. Collectively, our data demonstrate T1D-related TCR motif enrichment based on genetic risk, offering a potential metric for autoreactivity and groundwork for TCR-based diagnostics and therapeutics.

Science AdvancesVol. 12(7)
Sprint (United States) (US), Johannes Kepler University of Linz (AT), La Jolla Institute for Immunology (US), Whitman College (US), University of Antwerp (BE), University of Oslo (NO), University of Washington (US), University of Florida (US), Fred Hutch Cancer Center (US)
Good health and well-being
Openalex Percentile: Top 54%
Diabetes and associated disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.