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Anti-CD3 mAb treatment reshapes infiltrating T and β cells in the islets in autoimmune diabetes
Ying Wu, Maxwell Spurrell, Ana Lledó-Delgado, Songyan Deng, Dejiang Wang, Yang Liu, Mahsa Nouri Barkestani, Ana Luisa Perdigoto, Kevan C. Herold
Ying Wu, Maxwell Spurrell, Ana Lledó-Delgado, Songyan Deng, Dejiang Wang, Yang Liu, Mahsa Nouri Barkestani, Ana Luisa Perdigoto, Kevan C. Herold
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Research Article Endocrinology Immunology

Anti-CD3 mAb treatment reshapes infiltrating T and β cells in the islets in autoimmune diabetes

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Abstract

Treatment with anti-CD3 monoclonal antibody (mAb) can delay or prevent type 1 diabetes in mice and humans by modulating the immune-mediated destruction of β cells. A single course of treatment may have lasting efficacy, but the mechanisms that account for these prolonged effects, i.e., “operational tolerance,” are not clear. Here, we used paired single-cell RNA and T cell receptor sequencing to characterize islet-infiltrating T cells and their counterpart in paired pancreatic lymph nodes from anti-CD3 mAb–treated nonobese diabetic (NOD) mice in remission. We found that after anti-CD3 mAb treatment, T cells that infiltrate the islets are more heterogeneous and have hybrid features including characteristics of T stem cell–like memory and reduced effector function compared with those from untreated prediabetic NOD mice. Autoantigen-reactive CD8+ T cells persist after treatment, but they also show features of stemness and reduced pathogenicity. Our findings describe the reshaping of islet-infiltrating and autoreactive T cells and β cells that lead to operational, but tenuous, tolerance to autoimmune diabetes following anti-CD3 mAb treatment.

Authors

Ying Wu, Maxwell Spurrell, Ana Lledó-Delgado, Songyan Deng, Dejiang Wang, Yang Liu, Mahsa Nouri Barkestani, Ana Luisa Perdigoto, Kevan C. Herold

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Figure 2

Single-cell RNA-Seq analysis of islets from anti-CD3–treated remitter NOD mice.

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Single-cell RNA-Seq analysis of islets from anti-CD3–treated remitter NO...
(A) Islets and ppLNs freshly isolated from anti-CD3–treated remitter (n = 5) or prediabetic NOD mice (n = 4) were processed and analyzed by scRNA-Seq. (B) UMAP visualization of immune cell clusters in the islets and ppLNs, integrated from all the mice in single-cell analysis. The ovals identify proliferating cells that are identified in F. (C) Percentage of all the immune cells infiltrating islets of remitter or prediabetic NOD mice. Immune cells were identified based on expression of Ptprc (encoding CD45). Each symbol represents 1 individual mouse. No significant difference was found between the 2 conditions. (D) Percentage of each immune cell cluster (proliferating, myeloid, T or B cells; T cells were identified based on expression of Cd3e/g/d) among total islet infiltrates in remitter or prediabetic NOD (proliferating cluster: *P = 0.026; all other clusters: NS, unpaired, 2-tailed t test). (E) Islet-infiltrating T cells were subgrouped into CD4+, Treg, and CD8+ cells. No significant difference was found in percentage of each T subset among islet immune infiltrates between the 2 conditions. (F) Scatterplot showing percentage of each proliferating subset among total CD45+ immune cells in the islets (****P < 0.0001, 2-way ANOVA). All data are shown as mean ± SEM.

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