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Updated: Mar 2, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
Published on: May 2, 2025
A metabolite-GWAS (mGWAS) approach to unveil chronic kidney disease progression
Guanshi Zhang1, Rintaro Saito1, Kumar Sharma2
1Center for Renal Translational Medicine, Division of Nephrology-Hypertension, Institute of Metabolomic Medicine, University of California-San Diego, La Jolla, California, USA.
Abstract:
In this issue, McMahon et al. report that, by combining phenotypic, metabolomic, and genetic data, they could better detect chronic kidney disease at the early stages and provide insight into its pathobiology. The most significant findings of the study are that several urinary metabolites (e.g., glycine and histidine) were identified as early risk factors for chronic kidney disease, and metabolites with genomewide association study analysis identified associations of urinary metabolites (i.e., lysine and NG-monomethyl-l-arginine) with single-nucleotide polymorphisms of SLC7A9.
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