Identification and validation of shared biomarkers and drug repurposing in psoriasis and Crohn’s disease: integrating bioinformatics, machine learning, and experimental approaches
This study integrates bioinformatics, machine learning, and molecular validation to identify the shared molecular mechanisms of psoriasis and CD, uncovering novel biomarkers and potential combined therapeutic candidates. These findings provide valuable insights into potential treatment strategies for these diseases.
Authors
- Hui Cao (ORCID: https://orcid.org/0000-0003-2821-605X)
- Qingbo Liu (ORCID: https://orcid.org/0009-0003-2893-5596)
- Jian Tu (ORCID: https://orcid.org/0000-0002-8478-5292)
- Bin Liang (ORCID: https://orcid.org/0000-0003-2786-3140)
- Jintao Gao (ORCID: https://orcid.org/0000-0002-3991-9706)
- Junfeng Hou (ORCID: https://orcid.org/0000-0003-3635-5332)
- Xiaolong Li (ORCID: https://orcid.org/0000-0002-6450-1184)
- Mutian Niu
Institutions
- Guangxi Medical University (CN)
- Guilin Medical University (CN)
- Guangxi Academy of Special Crops (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-05-08
- DOI
- https://doi.org/10.3389/fimmu.2025.1587705
- Citations
- 1
- Primary Topic
- Psoriasis: Treatment and Pathogenesis
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- Natural Science Foundation of Guangxi Zhuang Autonomous Region
- National Natural Science Foundation of China