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Updated: Jul 19, 2025

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Integrating bioinformatic resources to identify characteristics of rheumatoid arthritis-related usual interstitial
Yulu Qiu1, Chang Liu1, Yumeng Shi1
1Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Background:
Rheumatoid arthritis (RA) is often accompanied by a common extra-articular manifestation known as RA-related usual interstitial pneumonia (RA-UIP), which is associated with a poor prognosis. However, the mechanism remains unclear. To identify potential mechanisms, we conducted bioinformatics analysis based on high-throughput sequencing of the Gene Expression Omnibus (GEO) database.
Results:
Weighted gene co-expression network analysis (WGCNA) analysis identified 2 RA-positive related modules and 4 idiopathic pulmonary fibrosis (IPF)-positive related modules. A total of 553 overlapped differentially expressed genes (DEG) were obtained, of which 144 in the above modules were further analyzed. The biological process of "oxidative phosphorylation" was found to be the most relevant with both RA and IPF. Additionally, 498 up-regulated genes in lung tissues of RA-UIP were screened out and enriched by 7 clusters, of which 3 were closely related to immune regulation. The analysis of immune infiltration showed a characteristic distribution of peripheral immune cells in RA-UIP, compared with IPF-UIP in lung tissues.
Conclusions:
These results describe the complex molecular and functional landscape of RA-UIP, which will help illustrate the molecular pathological mechanism of RA-UIP and identify new biomarkers and therapeutic targets for RA-UIP in the future.
Insights
Rheumatoid arthritis-associated interstitial pneumonia (RA-UIP) mechanisms were explored using bioinformatics. Oxidative phosphorylation and immune regulation pathways were identified as key players in RA-UIP pathogenesis.
Area of Science:
- Pulmonary Medicine
- Rheumatology
- Bioinformatics
Background:
- Rheumatoid arthritis (RA) frequently presents with RA-related usual interstitial pneumonia (RA-UIP), a condition linked to poor patient outcomes.
- The underlying mechanisms driving RA-UIP remain largely unknown.
- Bioinformatics analysis of high-throughput sequencing data was employed to investigate these mechanisms.
Purpose of the Study:
- To elucidate the molecular mechanisms of RA-UIP.
- To identify potential biomarkers and therapeutic targets for RA-UIP.
Main Methods:
- Weighted gene co-expression network analysis (WGCNA) was performed on Gene Expression Omnibus (GEO) database data.
- Differentially expressed genes (DEGs) common to RA and idiopathic pulmonary fibrosis (IPF) were identified.
- Gene enrichment analysis and immune infiltration analysis were conducted on RA-UIP lung tissues.
Main Results:
- WGCNA identified RA- and IPF-associated gene modules.
- "Oxidative phosphorylation" emerged as a significantly relevant biological process in both RA and IPF.
- Analysis revealed 498 upregulated genes in RA-UIP lungs, with 3 clusters linked to immune regulation and distinct peripheral immune cell infiltration patterns compared to IPF-UIP.
Conclusions:
- The study delineates the intricate molecular and functional characteristics of RA-UIP.
- Findings provide insights into the molecular pathology of RA-UIP.
- This research may facilitate the discovery of novel biomarkers and therapeutic strategies for RA-UIP.
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