Integrated identification of immune-related therapeutic targets for interstitial cystitis via multi-algorithm machine learning: transcriptomic profiling and in vivo experimental validation
This multi-omics study deciphered immune dysregulation in IC/BPS and established a robust diagnostic framework. The validation of IFI27-targeting compounds in alleviating inflammation highlights translational potential for repurposed therapeutics. Our findings advance precision immunotherapy strategies for IC/BPS.
Authors
- Xuanhan Hu (ORCID: https://orcid.org/0000-0003-2019-0799)
- Alin Ji (ORCID: https://orcid.org/0000-0001-7960-2044)
- Changfang Zhou (ORCID: https://orcid.org/0000-0002-8003-0562)
- Qi Zhang (ORCID: https://orcid.org/0000-0002-7237-1674)
- Xinyu Zhang (ORCID: https://orcid.org/0000-0002-9109-1889)
- Yifan Wang (ORCID: https://orcid.org/0000-0002-2829-5985)
- Yun Yang (ORCID: https://orcid.org/0000-0002-6989-7560)
- Miao Jia (ORCID: https://orcid.org/0000-0003-4034-197X)
- Facai Zhang
Institutions
- Zhejiang Chinese Medical University (CN)
- Hangzhou Medical College (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-07-24
- DOI
- https://doi.org/10.3389/fimmu.2025.1636855
- Citations
- 1
- Primary Topic
- Urinary Bladder and Prostate Research
- Type
- article
- Field-Weighted Citation Impact
- 1.84