Extracellular Vesicle-Based Urinary Proteomic Signatures Predict Remission and Relapse in Primary Membranous Nephropathy
The combined model incorporating four noninvasive urinary proteomic signatures and clinical characteristics significantly improved performance of predicting clinical remission in PMN patients compared to the clinical-feature-only model. Furthermore, molecular subtyping of the urinary proteome can identify patients at high risk for relapse. These findings provide a foundation for integrating advanced proteomics into personalized prognostic assessment for PMN patients, pending external validation in larger cohorts.
Authors
- Zengchun Ye (ORCID: https://orcid.org/0000-0001-9413-1762)
- Hui Peng (ORCID: https://orcid.org/0000-0002-0220-3616)
- Hua Tang (ORCID: https://orcid.org/0000-0001-9860-0802)
- Zhaoyong Hu (ORCID: https://orcid.org/0000-0003-4171-3587)
- Tong Han (ORCID: https://orcid.org/0000-0003-4713-4287)
- Yuxiang Sun (ORCID: https://orcid.org/0000-0002-7001-8383)
- Tiantian Liang (ORCID: https://orcid.org/0000-0001-8331-2066)
- Lingyun Zeng
Institutions
- Sun Yat-sen University (CN)
- Baylor College of Medicine (US)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Kidney Diseases
- Published
- 2025-12-11
- DOI
- https://doi.org/10.1159/000549770
- Primary Topic
- Renal Diseases and Glomerulopathies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China