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Coordinated immune dysregulation in juvenile dermatomyositis revealed by single-cell genomics
Gabrielle Rabadam, Camilla Wibrand, Emily Flynn, George C. Hartoularos, Yang Sun, Chioma Madubata, Gabriela K. Fragiadakis, Chun Jimmie Ye, Susan Kim, Zev J. Gartner, Marina Sirota, Jessica Neely
Gabrielle Rabadam, Camilla Wibrand, Emily Flynn, George C. Hartoularos, Yang Sun, Chioma Madubata, Gabriela K. Fragiadakis, Chun Jimmie Ye, Susan Kim, Zev J. Gartner, Marina Sirota, Jessica Neely
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Research Article

Coordinated immune dysregulation in juvenile dermatomyositis revealed by single-cell genomics

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Abstract

Juvenile dermatomyositis (JDM) is one of several childhood-onset autoimmune disorders characterized by a type I IFN response and autoantibodies. Treatment options are limited due to an incomplete understanding of how the disease emerges from dysregulated cell states across the immune system. We therefore investigated the blood of patients with JDM at different stages of disease activity using single-cell transcriptomics paired with surface protein expression. By immunophenotyping peripheral blood mononuclear cells, we observed skewing of the B cell compartment toward an immature naive state as a hallmark of JDM at diagnosis. Furthermore, we find that these changes in B cells are paralleled by T cell signatures suggestive of Th2-mediated inflammation that persist despite disease quiescence. We applied network analysis to reveal that hyperactivation of the type I IFN response in all immune populations is coordinated with previously masked cell states including dysfunctional protein processing in CD4+ T cells and regulation of cell death programming in NK cells, CD8+ T cells, and γδ T cells. Together, these findings unveil the coordinated immune dysregulation underpinning JDM and provide insight into strategies for restoring balance in immune function.

Authors

Gabrielle Rabadam, Camilla Wibrand, Emily Flynn, George C. Hartoularos, Yang Sun, Chioma Madubata, Gabriela K. Fragiadakis, Chun Jimmie Ye, Susan Kim, Zev J. Gartner, Marina Sirota, Jessica Neely

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Figure 3

Type I IFN–induced gene and protein expression is associated with disease activity in JDM in CD14+ monocytes.

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Type I IFN–induced gene and protein expression is associated with diseas...
(A) Heatmap of average IFN score per cell type and sample. Hierarchical clustering was performed using Euclidean distance and the complete clustering method. IFN score was calculated based on average expression of IFN module across all cells per sample. (B) Spearman correlation between IFN score and Physician Global VAS colored by disease group. (C) Scatter plot showing Spearman correlation between CD169 (SIGLEC-1) expression in CD14+ monocytes and Physician Global VAS. (D) Scatter plot showing Spearman correlation between IFN score and Physician Global VAS. (E) Scatter plot showing Spearman correlation between CD169 expression and IFN score in CD14+ monocytes.

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