Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases

We identified distinct systemic proteome signatures for primary glomerular diseases, where disease subtype served as a major determinant of proteomic variance alongside conventional clinical markers. Machine learning models demonstrated robust discriminatory performance for minimal change disease, membranous nephropathy, and IgA nephropathy, underscoring the potential for proteome-based classification.

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Publication Details

Journal
Journal of the American Society of Nephrology
Published
2026-03-04
DOI
https://doi.org/10.1681/asn.0000001054
Primary Topic
Renal Diseases and Glomerulopathies
Type
article
Field-Weighted Citation Impact
0.00
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article

Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases

S. Park, Jung Hun Koh, J Lee, J. Oh et al.
Journal of the American Society of Nephrology
Renal Diseases and Glomerulopathies
article

Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases

S. Park, Jung Hun Koh, J Lee, J. Oh, Kyeonghun Jeong, jung tak park, Hyun Je Kim, Jin Kyung Kwon, D. Kim, Semin Cho, Kwangsoo Kim, Hajeong Lee, Ji In Park, Yaerim Kim, On behalf of the BEAT-BK Investigators, Jeong Min Cho
article en

Abstract

We identified distinct systemic proteome signatures for primary glomerular diseases, where disease subtype served as a major determinant of proteomic variance alongside conventional clinical markers. Machine learning models demonstrated robust discriminatory performance for minimal change disease, membranous nephropathy, and IgA nephropathy, underscoring the potential for proteome-based classification.

Journal of the American Society of Nephrology
Seoul National University (KR), Yonsei University (KR), Seoul National University Hospital (KR), SNUH SMG-SNU Boramae Medical Center (KR), Kangwon National University Hospital (KR), Chung-Ang University Hospital (KR), Keimyung University (KR)
Openalex Percentile: Top 42%
Renal Diseases and Glomerulopathies
DOISourceOpenAlex
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Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases — S. Park, Jung Hun Koh, et al. · Journal of the American Society of Nephrology (2026) | TGRS Research Map | TGRS