Cross-disease comparison of dermatomyositis and lupus skin identifies inflammatory monocytes and JAK-1 signaling as drivers of vasculopathy in dermatomyositis
Osborne, G.; Zhang, L.; Ma, F.; Gharaee-Kermani, M.; Turnier, J.; Victory, A. N.; Hurst, A.; Xu, B.; Pedersen, E. A.; Bogle, R.; Berthier, C.; Ognenovski, V.; Nakamura, M.; Tsoi, L. C.; Billi, A.; Gudjonsson, J.; Klein, B.; Tsou, P.-S.; Kahlenberg, J. M.
Show abstract
Dermatomyositis (DM) is a rare yet devastating autoimmune disease characterized by inflammatory and vasculopathic changes in skin and muscle. DM and systemic lupus erythematosus (lupus) skin lesions have overlapping clinical and histopathological features, yet disparate responses to available therapeutics. DM skin disease is often relapsing and recalcitrant. To investigate DM immunopathogenesis, non-lesional skin, lesional skin, and circulating immune cells from DM patients were analyzed using single-cell RNA-sequencing. Samples were analyzed in parallel with lesional and non-lesional lupus skin, healthy control skin, and peripheral blood. We demonstrate a pervasive type I interferon (IFN) signature in DM stroma that persists in culture and is distinguished from lupus by upregulation of VEGF and IL-18 signaling in DM keratinocytes. Furthermore, endothelial cells (ECs) in lesional DM exhibit decreased proliferation that was not observed in lupus. Using cell communication networks, we identified a population of DM-specific monocytes interacting with non-proliferating DM ECs. Co-culture of monocytes from DM patients with ECs resulted in increased EC apoptosis inhibited by JAK1 blockade. JAK1 inhibition also resulted in reversal of DM-stromal and inflammatory signatures. Together, our data provide a comprehensive cross-disease characterization of lesional and non-lesional skin of DM compared to lupus and implicate monocyte-mediated EC dysfunction in DM vasculopathy and support JAK inhibition for refractory skin disease.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Novel human IL-23A Overexpressing Mouse Model of Systemic Lupus Erythematosus 95%
- Aberrant naive CD4+ T Cell differentiation in systemic juvenile idiopathic arthritis is committed to B cell help 94%
- Serum proteome analysis of systemic JIA and related pulmonary alveolar proteinosis identifies distinct inflammatory programs 94%
Similar papers in this journal
- Single cell transcriptomics reveals distinct effector profiles of infiltrating T cells in lupus skin and kidney 96%
- Coordinated immune dysregulation in Juvenile Dermatomyositis revealed by single-cell genomics 96%
- Tertiary Lymphoid Structures Sustain Cutaneous B cell Activity in Hidradenitis Suppurativa 94%
Similar papers in this journal
- Cutaneous lupus features specialized stromal niches and altered retroelement expression 98%
- T cells promote distinct transcriptional programs of cutaneous inflammatory disease in keratinocytes and dermal fibroblasts 95%
- Mucosal associated invariant T cells are altered in patients with Hidradenitis Suppurativa and contribute to the inflammatory milieu 95%
Similar papers in this journal
- Interleukin-36 upregulates type-I interferon responses in systemic lupus erythematosus by promoting the accumulation of self-nucleic acids 94%
- TCR repertoire profiling revealed antigen-driven CD8+ T cell clonal groups shared in synovial fluid of patients with spondyloarthritis 94%
- Neutrophil-fibroblast crosstalk drives immunofibrosis in Crohn’s disease through IFNα pathway 93%
Similar papers in this journal
- Angiopoietin-like protein 2 mediates vasculopathy driven fibrogenesis in a mouse model of systemic sclerosis 93%
- Blood immunophenotyping identifies distinct kidney histopathology and outcomes in patients with lupus nephritis 93%
- The COVID-19 immune landscape is dynamically and reversibly correlated with disease severity 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.