Comprehensive and quantitative urinary metabolomic profiling for improved characterization of diabetic nephropathy.

ABSTRACT:

Introduction

Diabetic nephropathy (DN) is a major cause of chronic kidney disease and end-stage renal failure worldwide. The current diagnostic marker, albuminuria, lacks specificity and often detects renal damage only at advanced stages.

Objectives

This study aimed to characterize urinary metabolic alterations associated with DN and explore metabolite panels with diagnostic potential.

Methods

A targeted urinary metabolomics analysis was performed using the validated TMIC Urine MEGA Assay, quantifying 268 metabolites in 60 participants (20 controls, 20 type 2 diabetes mellitus [DM-2], and 20 DN patients). Data were analyzed by Partial Least Squares Discriminant Analysis (PLS-DA) for visualization, and penalized regression algorithms [Least Absolute Shrinkage and Selec

SUBMITTER: Lopez-Hernandez Y 

PROVIDER: S-EPMC12619831 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature