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Updated: Jun 8, 2026

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Molecular signatures and new candidates to target the pathogenesis of rheumatoid arthritis
U Ungethuem1, T Haeupl, H Witt
1Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, CharitéUniversitätsmedizin Berlin, Germany. Ute.Ungethuem@Charite.de
Abstract:
Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced interpatient heterogeneity. To characterize RA at the molecular level and to uncover pathomechanisms, we performed genome-wide gene expression analysis. We identified a set of 1,054 genes significantly deregulated in pair-wise comparisons between RA and osteoarthritis (OA) patients, RA and normal donors (ND), or OA and ND. Correlation analysis revealed gene sets regulated identically in all three groups. As a prominent example secreted phosphoprotein 1 (SPP1) was identified to be significantly upregulated in RA compared with both OA and ND. SPP1 expression was found to correlate with genes expressed during an inflammatory response, T-cell activation and apoptosis, suggesting common underlying regulatory networks. A subclassification of RA patients was achieved on the basis of proteoglycan 4 (PRG4) expression, distinguishing PRG4 high and low expressors and reflecting the heterogeneity of the disease. In addition, we found that low PRG4 expression was associated with a more aggressive disease stage, which is in accordance with PRG4 loss-of-function mutations causing camptodactyly-arthropathy-coxa vara-pericarditis syndrome. Altogether we provide evidence for molecular signatures of RA and RA subclasses, sets of new candidate genes as well as for candidate gene networks, which extend our understanding of disease mechanisms and may lead to an improved diagnosis.
Insights
This study reveals molecular signatures in rheumatoid arthritis (RA) by analyzing gene expression. Key findings include identifying specific genes and networks that may improve RA diagnosis and understanding its complex mechanisms.
Area of Science:
- Molecular biology
- Genomics
- Immunology
Background:
- Rheumatoid arthritis (RA) is a chronic inflammatory joint disease with unknown causes and significant patient variability.
- Understanding RA's molecular underpinnings is crucial for uncovering disease mechanisms.
Purpose of the Study:
- To characterize RA at the molecular level using genome-wide gene expression analysis.
- To identify molecular signatures and pathomechanisms contributing to RA heterogeneity.
Main Methods:
- Genome-wide gene expression analysis comparing RA patients, osteoarthritis (OA) patients, and normal donors (ND).
- Correlation analysis to identify co-regulated gene sets.
- Subclassification of RA patients based on proteoglycan 4 (PRG4) expression levels.
Main Results:
- Identified 1,054 significantly deregulated genes in RA compared to OA and ND.
- Discovered secreted phosphoprotein 1 (SPP1) upregulated in RA, correlating with inflammatory and immune response genes.
- Established a subclassification of RA patients based on PRG4 expression, linking low PRG4 to more aggressive disease stages.
Conclusions:
- Provided molecular signatures and candidate gene networks for RA, enhancing understanding of disease mechanisms.
- Identified potential molecular markers for RA subclasses, suggesting avenues for improved diagnosis.
- Highlighted the role of SPP1 and PRG4 in RA pathogenesis and heterogeneity.
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