MHC-II polymorphisms regulate non-cognate negative selection OF CD4 T cell orchestrators of type-1 diabetes 4733

Abstract Description T cell-mediated autoimmune diseases, such as type-1 diabetes (T1D), occur when breaks in tolerance allow lymphocytes to target healthy tissue. Genetic susceptibility to T1D relies on homozygous expression of MHC-II alleles carrying particular β-chain polymorphisms. Why heterozygous expression of these MHC-II alleles does not confer a similar predisposition remains unresolved. To address how MHC-II alleles influence T1D susceptibility, we mutated the I-Ag7 β56/57 polymorphic residues, His-Ser, to the canonical Pro-Asp, generating non-obese diabetic (NOD) mice that express I-Ag7-PD. While I-Ag7-WT/WT homozygous mice develop T1D, heterozygous I-Ag7-PD/WT mice are T1D-resistant, exhibit a lack of islet-specific CD8 T cell cross-priming, and forego islet-specific CD4 T cell CXCR6+ subset differentiation. Adoptive transfer of the CXCR6+ CD4 T cell populations from NOD mice reveals an ability to induce islet-specific CD8 T cell activation and drive T1D. Additionally, heterozygous expression of the protective I-Ag7-PD allele induces significant thymic deletion of the I-Ag7-WT restricted T cell repertoire. Surprisingly, negative selection of high-affinity islet-specific CD4 T cells occurs despite I-Ag7-PD having a reduced ability to present islet-specific CD4 T cell antigens. These data argue that negative selection of diabetogenic CD4 T cells by disease protective MHC-II molecules occurs through ligands that are distinct from the cognate autoantigen. Topic Categories Basic Autoimmunity (BA)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.2367
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

MHC-II polymorphisms regulate non-cognate negative selection OF CD4 T cell orchestrators of type-1 diabetes 4733

Brian D. Stadinski
The Journal of Immunology
Diabetes and associated disorders
article

MHC-II polymorphisms regulate non-cognate negative selection OF CD4 T cell orchestrators of type-1 diabetes 4733

Brian D. Stadinski
article en

Abstract

Abstract Description T cell-mediated autoimmune diseases, such as type-1 diabetes (T1D), occur when breaks in tolerance allow lymphocytes to target healthy tissue. Genetic susceptibility to T1D relies on homozygous expression of MHC-II alleles carrying particular β-chain polymorphisms. Why heterozygous expression of these MHC-II alleles does not confer a similar predisposition remains unresolved. To address how MHC-II alleles influence T1D susceptibility, we mutated the I-Ag7 β56/57 polymorphic residues, His-Ser, to the canonical Pro-Asp, generating non-obese diabetic (NOD) mice that express I-Ag7-PD. While I-Ag7-WT/WT homozygous mice develop T1D, heterozygous I-Ag7-PD/WT mice are T1D-resistant, exhibit a lack of islet-specific CD8 T cell cross-priming, and forego islet-specific CD4 T cell CXCR6+ subset differentiation. Adoptive transfer of the CXCR6+ CD4 T cell populations from NOD mice reveals an ability to induce islet-specific CD8 T cell activation and drive T1D. Additionally, heterozygous expression of the protective I-Ag7-PD allele induces significant thymic deletion of the I-Ag7-WT restricted T cell repertoire. Surprisingly, negative selection of high-affinity islet-specific CD4 T cells occurs despite I-Ag7-PD having a reduced ability to present islet-specific CD4 T cell antigens. These data argue that negative selection of diabetogenic CD4 T cells by disease protective MHC-II molecules occurs through ligands that are distinct from the cognate autoantigen. Topic Categories Basic Autoimmunity (BA)

The Journal of ImmunologyVol. 214(Supplement_1)
University of Massachusetts Chan Medical School (US)
Openalex Percentile: Top 62%
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.