Decoding the hypoxia-exosome-immune triad in OSA: PRCP/UCHL1/BTG2-driven metabolic dysregulation revealed by interpretable machine learning
This study identifies PRCP, UCHL1, and BTG2 as key exosome-related biomarkers in OSA that regulate immune-metabolic disruption. By integrating transcriptomic data, machine learning, and immune analysis, we uncover an "exosome-immune" axis in OSA pathophysiology.
Authors
- Riken Chen (ORCID: https://orcid.org/0000-0001-6101-7891)
- Weilong Ye
- Weimin Yao (ORCID: https://orcid.org/0000-0002-2403-741X)
- Yunan Wang (ORCID: https://orcid.org/0009-0008-6065-7086)
- Xiaoxi Lin (ORCID: https://orcid.org/0000-0002-7325-1367)
- Yi Yang (ORCID: https://orcid.org/0000-0002-9400-1850)
- Bo Chen (ORCID: https://orcid.org/0000-0002-9926-4377)
- Lianfang Du
- J. Pan (ORCID: https://orcid.org/0000-0002-0664-9199)
- Wei‐Chi Liao (ORCID: https://orcid.org/0000-0003-2279-9231)
- F M Chen (ORCID: https://orcid.org/0000-0003-0260-779X)
Institutions
- Guangdong Medical College (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-10-27
- DOI
- https://doi.org/10.3389/fimmu.2025.1587522
- Primary Topic
- Cancer-related gene regulation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universidade de Macau