Integrated metabolomics and proteomics reveal biomarkers associated with hemodialysis in end-stage kidney disease.

ABSTRACT: Background: We hypothesize that the poor survival outcomes of end-stage kidney disease (ESKD) patients undergoing hemodialysis are associated with a low filtering efficiency and selectivity. The current gold standard criteria using single or several markers show an inability to predict or disclose the treatment effect and disease progression accurately. Methods: We performed an integrated mass spectrometry-based metabolomic and proteomic workflow capable of detecting and quantifying circulating small molecules and proteins in the serum of ESKD patients. Markers linked to cardiovascular disease (CVD) were validated on human induced pluripotent stem cell (iPSC)-derived cardiomyocytes. Results: We identified dozens of elevated molecules in the serum of patients compared w

SUBMITTER: Lin W 

PROVIDER: S-EPMC10715419 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature