Integrative machine learning and multi-omics framework identifies shared biomarkers for rheumatoid arthritis and ulcerative colitis
This integrative approach identifies DUOX2, IDO1, NPY1R, and SELL as shared RA-UC biomarkers potentially linked to macrophage-driven inflammation and VEGF signaling. These findings provide insights into the common pathogenesis and potential targets for dual-disease diagnostics and therapeutics.
Authors
- Meili Liu (ORCID: https://orcid.org/0009-0005-8817-2775)
- Cheng Bi Zhao (ORCID: https://orcid.org/0000-0002-8973-9164)
- Yi Liu
- Jun Ge
- Zhenhua Wu (ORCID: https://orcid.org/0000-0003-4552-883X)
- Lei Guo (ORCID: https://orcid.org/0009-0006-9773-4829)
- Zenggen Liu (ORCID: https://orcid.org/0000-0002-3629-0383)
Institutions
- Hubei University of Chinese Medicine (CN)
- Wuhan College (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1371/journal.pone.0336243
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation