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The immune profile of circulating autoreactive CD4 T cells is imprinted through tissue activation during autoimmune liver diseases (minibulk)

GSE270736 Homo sapiens Expression profiling by high throughput sequencing 5 samples Submitted 2024/12/19 Platform GPL30173
Summary
Autoimmune liver diseases (AILD) are immune-mediated disorders in which CD4 T cells play a central role. However, the link between circulating self-antigen-specific CD4 T cells and the targeted tissue has not been extensively studied in AILD. We hypothesized that circulating autoreactive CD4 T cells were clonally and functionally related to dominant intra-hepatic pathogenic CD4 T cell clones. Single cell transcriptomic analysis of circulating self-antigen-specific CD4 T cells revealed a specific B-helper and immuno-exhausted transcriptional profile, which was conserved for different autoantigens, but distinct from several other types of foreign antigen specificities. In the blood, the dominant hepatic CD4 T cell clones had a similar transcriptomic signature and were enriched in the PD-1+ TIGIT+ HLA-DR+ CD4 T cell subset. In a mouse model, antigen-specific CD4 T cells acquired the immuno-exhausted transcriptional profile when they accumulated in the liver after local antigen reactivity. Locally, immune checkpoint molecules controlled the response of antigen-specific CD4 T cells responsible for liver damage. Our study reveals the origin and biology of liver-derived autoreactive CD4 T cells in the blood of AILD patients that are imprinted by the liver environment, and suggest a dysregulation of the immune checkpoint molecules pathways. Our study enables tracking and isolating circulating autoreactive CD4 T cells for future diagnostic and therapeutic purposes.
Published in
Single cell profiling of circulating autoreactive CD4 T cells from patients with autoimmune liver diseases suggests tissue imprinting
Cardon A, Guinebretière T, Dong C et al. · Nature communications 2025 · PMID 39880819 · doi:10.1038/s41467-025-56363-2
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Also filed as BioProject PRJNA1128098 and SRA study SRP516141. Searching any of these in the dataset finder brings you back here.

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