Related Experiment Video
Updated: Jan 18, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
Published on: May 2, 2025
Characterizing metabolic dysregulation in early-stage chronic kidney disease for diagnostic insights
Upasna Gupta1,2, Amrita Sahu1,2, Dharmendra Singh Bhadauria3
1Centre of Biomedical Research, Sanjay Gandhi Post Institute of Medical Sciences Campus, Raebareli Road, Lucknow, Uttar Pradesh, 226014, India. neerajcbmr@gmail.com.
Insights
Early diagnosis of chronic kidney disease (CKD) is difficult. This study identified ten key metabolites in serum using metabolomics, offering potential biomarkers for early CKD detection and personalized treatment strategies.
Area of Science:
- * Biochemistry and metabolomics
- * Renal medicine and diagnostics
Background:
- * Chronic kidney disease (CKD) presents diagnostic challenges in early stages (G1-G3) using conventional methods like serum creatinine.
- * Early detection and identification of biomarkers for personalized treatment in early CKD remain underexplored.
- * Glomerular filtration rate (GFR) ≥30 mL/min/1.73 m² defines early-stage CKD, indicating normal to moderate kidney function.
Purpose of the Study:
- * To identify novel biomarkers for early detection of chronic kidney disease (CKD).
- * To investigate physiological changes associated with early-stage CKD.
- * To explore potential for personalized treatment strategies in early CKD management.
Main Methods:
- * A metabolomic analysis utilizing proton nuclear magnetic resonance (1H NMR) on 115 human serum samples (24 healthy controls, 91 early-stage CKD patients).
- * Data pre-processing and statistical analyses performed using MetaboAnalyst 6.0, including PCA, PLS-DA, OPLS-DA, ANOVA, and Wilcoxon Mann-Whitney test.
- * Random forest modeling for CKD stage differentiation, KEGG database for pathway enrichment, and ROC analysis for metabolite diagnostic value assessment.
Main Results:
- * Ten metabolites (myo-Inositol, glycerol, pyruvate, carnitine, phenylalanine, tyrosine, histidine, TMAO, 2-hydroxyisobutyrate, 3-hydroxyisobutyrate) showed significant changes across CKD stages (p < 0.05, VIP > 1).
- * Receiver operating characteristic (ROC) curve analysis indicated diagnostic potential with AUC values > 0.7 for identified metabolites.
- * Pathway analysis revealed significant dysregulation in inositol phosphate, tyrosine, histidine, pyruvate metabolism, and phenylalanine, tryptophan, and tyrosine biosynthesis.
Conclusions:
- * This metabolomics study successfully identified potential biomarkers for early-stage chronic kidney disease (CKD).
- * Significant metabolic abnormalities and pathway dysregulations were observed in early CKD patients.
- * The findings support the development of individualized care strategies for managing early CKD.
Abstract:
The progressive illness known as chronic kidney disease (CKD) can often be challenging to diagnose in its early stages with conventional diagnostic approaches such as serum creatinine and albumin assessment. Early-stage CKD (stages G1-G3) is defined by a GFR of ≥30 mL min-1/1.73 m2, which indicates normal to moderately reduced kidney function with or without symptoms of impaired kidney function. Identifying possible biomarkers for early detection and personalised treatment, as well as physiological changes linked to early CKD-an area that has not been fully investigated before-is the goal of the study to address this gap. We performed a metabolomic analysis using 1H NMR on 115 human serum samples (24 healthy controls and 91 patients with early-stage CKD). MetaboAnalyst 6.0 was used for data pre-processing and statistical analyses (PCA, PLS-DA, OPLS-DA, ANOVA, and Wilcoxon Mann-Whitney test). Strong differentiation between CKD stages was achieved by random forest modelling. The KEGG database was used to perform pathway enrichment, and ROC analysis was used to evaluate the diagnostic value of important metabolites. Across CKD stages, significant changes were observed in ten different metabolites: myo-Inositol, glycerol, pyruvate, carnitine, phenylalanine, tyrosine, histidine, TMAO, 2-hydroxyisobutyrate, and 3-hydroxyisobutyrate (p < 0.05, VIP > 1). AUC values > 0.7 from ROC curves demonstrated its potential for diagnosis. Pathway analysis revealed significant dysregulation in the metabolism of inositol phosphate, tyrosine, histidine, and pyruvate, and biosynthesis of phenylalanine, tryptophan and tyrosine. This comprehensive metabolomics investigation identified potential early-stage CKD biomarkers in addition to significant metabolic abnormalities. These findings could help provide individualized care for early CKD management.
Related Concept Videos
Chronic Kidney Disease I: Introduction
Chronic Kidney Disease III: Interprofessional Care
Chronic Kidney Disease II: Clinical Manifestations
Chronic Kidney Disease IV: Nursing Management
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

