Unknown

Dataset Information

A universal predictive and mechanistic urinary peptide signature in acute kidney injury.


ABSTRACT:

Background

The delayed diagnosis of acute kidney injury (AKI) episodes and the lack of specificity of current single AKI biomarkers hamper its management. Urinary peptidome analysis may help to identify early molecular changes in AKI and grasp its complexity to identify potential targetable molecular pathways.

Methods

In derivation and validation cohorts totalizing 1170 major cardiac bypass surgery patients and in an external cohort of 1569 intensive care unit (ICU) patients, a peptide-based score predictive of AKI (7-day KDIGO classification) was developed, validated, and compared to the reference biomarker urinary NGAL and NephroCheck and clinical scores.

Results

A set of 204 urinary peptides derived from 48 proteins related to hemolysis, inflammation, immune cells

SUBMITTER: Piedrafita A 

PROVIDER: S-EPMC9640896 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature