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ABSTRACT: Background
Urine proteomics may provide mechanistic insights on why patients experience a higher risk of kidney function decline after hospitalization.Methods
In 174 patients with and without acute kidney injury (AKI) from the Assessment, Serial Evaluation, and Subsequent Sequelae in AKI (ASSESS-AKI) cohort, we used Olink to profile 2783 urinary proteins collected at 3 months after hospitalization and determined their association with estimated glomerular filtration rate (eGFR) decline during median [IQR] of 5.1 [4.0 to 6.0] years follow-up. In 4 independent cohorts, including the Kidney Precision Medicine Project (KPMP), we determined whether proteins were differentially expressed with AKI. We used weighted correlation network analysis to determine proteins' cellular enric
SUBMITTER: Wen Y
PROVIDER: S-EPMC12487845 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature