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Islet-autoreactive CD4+ T cells are linked with response to alefacept in type 1 diabetes
Elisa Balmas, Janice Chen, Alex K. Hu, Hannah A. DeBerg, Mario G. Rosasco, Vivian H. Gersuk, Elisavet Serti, Cate Speake, Carla J. Greenbaum, Gerald T. Nepom, Peter S. Linsley, Karen Cerosaletti
Elisa Balmas, Janice Chen, Alex K. Hu, Hannah A. DeBerg, Mario G. Rosasco, Vivian H. Gersuk, Elisavet Serti, Cate Speake, Carla J. Greenbaum, Gerald T. Nepom, Peter S. Linsley, Karen Cerosaletti
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Research Article

Islet-autoreactive CD4+ T cells are linked with response to alefacept in type 1 diabetes

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Abstract

Variation in the preservation of β cell function in clinical trials in type 1 diabetes (T1D) has emphasized the need to define biomarkers to predict treatment response. The T1DAL trial targeted T cells with alefacept (LFA-3–Ig) and demonstrated C-peptide preservation in approximately 30% of new-onset T1D individuals. We analyzed islet antigen–reactive (IAR) CD4+ T cells in PBMC samples collected prior to treatment from alefacept- and placebo-treated individuals using flow cytometry and single-cell RNA sequencing. IAR CD4+ T cells at baseline had heterogeneous phenotypes. Transcript profiles formed phenotypic clusters of cells along a trajectory based on increasing maturation and activation, and T cell receptor (TCR) chains showed clonal expansion. Notably, the frequency of IAR CD4+ T cells with a memory phenotype and a unique transcript profile (cluster 3) were inversely correlated with C-peptide preservation in alefacept-treated, but not placebo-treated, individuals. Cluster 3 cells had a proinflammatory phenotype characterized by expression of the transcription factor BHLHE40 and the cytokines GM-CSF and TNF-α, and shared TCR chains with effector memory–like clusters. Our results suggest IAR CD4+ T cells as a potential baseline biomarker of response to therapies targeting the CD2 pathway and warrant investigation for other T cell–related therapies.

Authors

Elisa Balmas, Janice Chen, Alex K. Hu, Hannah A. DeBerg, Mario G. Rosasco, Vivian H. Gersuk, Elisavet Serti, Cate Speake, Carla J. Greenbaum, Gerald T. Nepom, Peter S. Linsley, Karen Cerosaletti

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Figure 2

scRNA-seq profiles from IAR CD4+ T cells form a trajectory following differentiation and activation.

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scRNA-seq profiles from IAR CD4+ T cells form a trajectory following dif...
(A) UMAP plot of Leiden clustering of scRNA-seq profiles of IAR CD4+ T cells (n = 1,014 cells) from T1DAL participants (n = 18) defines 5 clusters of cells with unique phenotypes (Supplemental Table 3). Each symbol represents an individual cell from a study participant. The black line denotes a trajectory graph calculated using Monocle 3. (B) Monocle 3 trajectory graph depicted without cells to show inferred transcriptome phenotypes of IAR CD4+ T cells: naive (Tn), central memory (Tcm), effector memory (Tem), and activated (act) T cells. (C) Pseudotime plots (Monocle 3) of indicated marker transcript levels (log10 transformed) versus clusters. Genes were defined by the top_marker function of Monocle 3. (D) Bubble plot of marker genes in C. The color scale indicates mean log expression level of each gene, and the size of each circle indicates the percentage of cells in the indicated cluster that express the gene according to the legend. (E) Pseudotime plots of transcript levels for the indicated transcription factor genes versus clusters. (F) Bubble plot of transcription factors in E.

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