Abstract: SA-PO0830
Urinary Extracellular Vesicle Multi-Omics via Epigallocatechin Gallate (EGCG)-Based Automated Enrichment Identifies Protein and miRNA Biomarkers Discriminating IgAN and ESRD
Session Information
- Glomerular Diseases: Management, Evolving Strategies, and Practice-Changing Advances
October 24, 2026 | Location: Exhibit Hall A, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Glomerular Diseases
- 1402 Glomerular Diseases: Clinical, Outcomes, and Therapeutics
Authors
- Cho, Byoung-Soo, Dr.Cho's Kidney Center, Seoul, Korea (the Republic of)
- Cho, Won-Hee, Vetran's Hospital Services, Seoul, Korea (the Republic of)
- Jung, Sung min, Dr.Cho's Kidney Center, Seoul, Korea (the Republic of)
- Kim, Minlee, Genolution, Incheon, Korea (the Republic of)
- Lyu, Jaemyun, Genolution, Incheon, Korea (the Republic of)
- Shin, Heejong, Genolution, Incheon, Korea (the Republic of)
- Park, Junghoon, Genolution, Incheon, Korea (the Republic of)
- Kim, Giok, Genolution, Incheon, Korea (the Republic of)
Background
Renal biopsy remains the gold standard for diagnosis as yet, however liquid biopsy are becoming essential for tracking kidney disease activity and predicting progression. Urinary extracellular vesicles (uEVs) carry kidney-derived multi-omics cargo, but conventional isolation methods (UC, PEG, SEC) suffer from yield–purity trade-offs that hinder clinical translation. We applied an EGCG-based magnetic-bead enrichment platform (Geno-Exo) on an automated liquid-handling system (NX-Jr) to profile the urinary EV proteome and small RNA landscape in CKD
Methods
Urine samples from 27 subjects (Normal, n=11; CKD, n=16 [IgAN, n=11; ESRD, n=5]) were processed through the Geno-Exo workflow (EGCG-magnetic bead complex; protein in ~30 min, RNA in ~50 min from a single prep). Proteomics was performed by LC-MS/MS with proDA-based differential analysis (|log2FC| ≥1, FDR <0.05). Small RNA-Seq libraries underwent adapter/length filtering, host RNA depletion, and miRNA alignment. Candidate biomarkers were defined by AUC ≥0.90, p ≤0.05, and fold change ≥1.5 or ≤0.67.
Results
A total of 5,121 proteins were quantified across all samples. CKD vs Normal comparison yielded 60 differentially expressed proteins (20 up, 40 down). GO enrichment highlighted glomerular filtration, renal filtration, positive regulation of exosomal secretion, and B-cell receptor signaling. Eight proteins met biomarker criteria at AUC ≥0.90, with the top candidate reaching AUC 0.979; six showed upregulation in CKD (including mitochondrial respiratory chain components and immunoglobulin heavy-chain variants), while two membrane-associated proteins were significantly downregulated (log2FC −1.66 to −3.01). Small RNA-Seq revealed altered RNA composition in CKD (increased miRNA and snoRNA fractions) and identified candidate miRNAs separating IgAN from ESRD by hierarchical clustering.
Conclusion
EGCG-based automated uEV enrichment enables reproducible, proteomics-grade multi-omics profiling from a single urine prep. The platform identified protein and miRNA candidates discriminating CKD from controls and IgAN from ESRD, supporting its utility for non-invasive CKD subtyping. Independent cohort validation is underway.