Systemic sclerosis & Raynaud's
Cell Type–Specific Biomarkers of Systemic Sclerosis Disease Severity Capture Cell‐Intrinsic and Cell‐Extrinsic Circuits
Authors' conclusion
Our global systems analyses reveal previously uncharacterized cell-intrinsic and cell-extrinsic signaling coexpression networks underlying SSc severity that involve keratinocytes, myeloid cells, and fibroblasts.
Study context
- Population
- Systemic sclerosis (SSc) patients across the severity spectrum as quantified by the modified Rodnan skin score (MRSS)
- Participants
- 24 patients
- Outcome
- Cell type-specific predictive biomarkers of SSc severity (MRSS)
Methodological detailssingle-cell RNA-sequencing, least absolute shrinkage and selection operator (LASSO)-based predictive machine learning, correlation network analyses
- Single-cell RNA-sequencing
- LASSO-based predictive machine learning
- Correlation network analyses
Main finding
As reported in the abstract
Cell type-specific predictive biomarkers of MRSS
- Biomarkers included previously implicated genes in fibroblast and myeloid cell subsets (e.g., SFPR2+ fibroblasts and monocytes), and novel gene biomarkers of MRSS, especially in keratinocytes
- Correlation network analyses revealed novel cross-talk between immune pathways and implicated keratinocytes, fibroblast and myeloid cells as key cell types in SSc pathogenesis
- Association of keratinocyte markers KRT6A and S100A8 with SSc skin disease severity validated
Original publication
Cell Type–Specific Biomarkers of Systemic Sclerosis Disease Severity Capture Cell‐Intrinsic and Cell‐Extrinsic Circuits. Arthritis Rheumatol. Published 25 July 2023. doi:10.
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