Identification of potential biomarkers for diabetic nephropathy via UPLC-MS/MS-based metabolomics.

ABSTRACT:

Objective

Diabetes mellitus (DM) is a prevalent chronic disease, with diabetic nephropathy (DN) being a significant complication. Early detection of DN is critical for effective management. Current diagnostic methods, such as urinary albumin-to-creatinine ratio (uACR) and estimated glomerular filtration rate (eGFR), have limitations. Metabolomics offers a promising alternative by identifying specific metabolic signatures associated with DM and DN. This study aimed to identify potential metabolic biomarkers of DN using metabolomics.

Methods

A total of 100 participants were recruited, including 20 healthy controls and 80 DM patients, who were classified into three groups based on uACR: normoalbuminuria (DM), microalbuminuria (DN-1), and macroalbuminuria (DN-2). Metabolomic pro

SUBMITTER: Chen H 

PROVIDER: S-EPMC12433848 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature