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Updated: Dec 11, 2025

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
Systemic sclerosis pathogenesis: contribution of recent advances in genetics
Cindy Orvain1, Servin Assassi2, Jérôme Avouac1,3
1INSERM U1016 UMR 8104, Institut Cochin, Paris, France.
Genetic variants influence systemic sclerosis (SSc) pathophysiology, affecting immunity, vascular, and fibrotic components. Further research into these genes may reveal novel therapeutic targets for SSc patients.
Area of Science:
- Immunogenetics
- Rheumatology
- Genomics
Background:
- Systemic sclerosis (SSc) is a rare autoimmune disease characterized by vasculopathy, immune dysregulation, and fibrosis.
- Genetic studies, including Genome-Wide Association Studies (GWAS) and ImmunoChip studies, have identified genetic variants associated with SSc.
- These variants are predominantly found in noncoding regions and impact various aspects of the immune system.
Purpose of the Study:
- To review susceptibility genes for SSc.
- To understand how these genes integrate into SSc pathophysiology.
- To provide insights for developing innovative therapies.
Main Methods:
- Review of recent Genome-Wide Association Studies (GWAS) and ImmunoChip studies.
- Analysis of identified genetic variants in innate immunity, T and B cell activation, and NF-κB pathways.
- Consideration of genes affecting vascular and fibrotic components.
Main Results:
- Genetic variants in innate immunity (e.g., IRF5, TLR2), T/B cell activation (e.g., CD247, STAT4), and NF-κB pathway (e.g., TNFAIP3) are associated with SSc.
- Genes such as CSK, DDX6, DNASE1L3, and GSDMA/B may also contribute to the vascular and fibrotic aspects of SSc.
- These findings confirm and expand upon previous biological data regarding SSc pathogenesis.
Conclusions:
- Genetic studies underscore the role of immune dysregulation in SSc.
- Future research should focus on functional characterization of identified variants and their impact on vasculopathy and fibrosis.
- Integrated genomic approaches, such as polygenic risk scores, could identify novel therapeutic targets for SSc clinical features.
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