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Population-level single-cell genomics reveals conserved gene programs in systemic juvenile idiopathic arthritis
Emely L. Verweyen, Kairavee Thakkar, Sanjeev Dhakal, Elizabeth Baker, Kashish Chetal, Daniel Schnell, Scott Canna, Alexei A. Grom, Nathan Salomonis, Grant S. Schulert
Emely L. Verweyen, Kairavee Thakkar, Sanjeev Dhakal, Elizabeth Baker, Kashish Chetal, Daniel Schnell, Scott Canna, Alexei A. Grom, Nathan Salomonis, Grant S. Schulert
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Research Article Inflammation

Population-level single-cell genomics reveals conserved gene programs in systemic juvenile idiopathic arthritis

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Abstract

Systemic autoimmune and autoinflammatory diseases are characterized by genetic and cellular heterogeneity. While current single-cell genomics methods provide insights into known disease subtypes, these analysis methods do not readily reveal novel cell-type perturbation programs shared among distinct patient subsets. Here, we performed single-cell RNA-Seq of PBMCs of patients with systemic juvenile idiopathic arthritis (SJIA) with diverse clinical manifestations, including macrophage activation syndrome (MAS) and lung disease (LD). We introduced two new computational frameworks called UDON and SATAY-UDON, which define patient subtypes based on their underlying disrupted cellular programs as well as associated biomarkers or clinical features. Among twelve independently identified subtypes, this analysis uncovered what we believe to be a novel complement and interferon activation program identified in SJIA-LD monocytes. Extending these analyses to adult and pediatric lupus patients found new but also shared disease programs with SJIA, including interferon and complement activation. Finally, supervised comparison of these programs in a compiled single-cell pan-immune atlas of over 1,000 healthy donors found a handful of normal healthy donors with evidence of early inflammatory activation in subsets of monocytes and platelets, nominating possible biomarkers for early disease detection. Thus, integrative pan-immune single-cell analysis resolved what we believe to be new conserved gene programs underlying inflammatory disease pathogenesis and associated complications.

Authors

Emely L. Verweyen, Kairavee Thakkar, Sanjeev Dhakal, Elizabeth Baker, Kashish Chetal, Daniel Schnell, Scott Canna, Alexei A. Grom, Nathan Salomonis, Grant S. Schulert

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Figure 4

UDON analysis defines new SJIA disease subtypes including complement activation in monocytes in patients with SJIA-LD.

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UDON analysis defines new SJIA disease subtypes including complement act...
(A) Overview of the UDON analysis pipeline, an unsupervised clustering method applied to control normalized patient pseudo-bulks to define disease subtypes. (B) SJIA UDON patient cell subtypes (UDON clusters 1–12), defined by the top cluster marker genes and top enriched pathways (PathwayCommons), are shown in the left heatmap. UDON SJIA subtypes were confirmed from 2 independent bulk SJIA transcriptomics cohorts, as shown to the right of the UDON heatmaps with matching genes, normalized to within-cohort controls. Confirmation of UDON SJIA subtypes from 2 independent large bulk SJIA PBMC transcriptomics cohorts are shown to the right of the UDON heatmap, with matching genes, normalized to within-cohort controls. (C–F) UMAP visualization of control normalized patient pseudobulks for UDON clusters (C), clinical subtypes (D), individual patients (E), and cell populations (F). (G) Gene-to-GO term associations (GO-Elite) for UDON cluster 4 and cluster 6. (H) Serum protein expression of complement component C9 and C5a of healthy controls (n = 10) and patients with SJIA (n = 57) by ELISA. Error bars indicate mean SD. Significant differences calculated by 1-way ANOVA (*Padj ≤ 0.05, **Padj ≤ 0.005, ***Padj ≤ 0.001).

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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