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Updated: Sep 7, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
NMR-Based Metabolomics in Differential Diagnosis of Chronic Kidney Disease (CKD) Subtypes
Styliani A Chasapi1, Evdokia Karagkouni1, Dimitra Kalavrizioti2
1Department of Pharmacy, University of Patras, 26504 Patras, Greece.
Insights
Early-stage Chronic Kidney Disease (CKD) urine metabolomics can help identify specific causes. Nuclear Magnetic Resonance (NMR) analysis distinguished IgA Nephropathy from other CKD types, aiding diagnosis.
Area of Science:
- Nephrology
- Metabolomics
- Biochemistry
Background:
- Chronic Kidney Disease (CKD) is a significant global health issue.
- Early diagnosis and treatment are crucial for delaying CKD progression and kidney failure.
- Understanding CKD etiology is vital for targeted therapeutic strategies.
Purpose of the Study:
- To investigate if urine metabolomics can reflect the etiology of early-stage CKD.
- To analyze the urine metabolic fingerprint of patients with common CKD types using NMR spectroscopy.
- To differentiate between Chronic Glomerulonephritis, Diabetic Nephropathy (DN), and Hypertensive Nephrosclerosis (HN) based on urinary metabolic profiles.
Main Methods:
- Collected urine samples from 108 CKD patients.
- Utilized Nuclear Magnetic Resonance (NMR) spectroscopy for metabolomic analysis.
- Compared metabolic profiles across different CKD etiologies and control groups.
Main Results:
- Successfully clustered patients with Chronic Glomerulonephritis.
- Identified a distinct urine metabolome for IgA Nephropathy, suggesting its unique origin.
- Found no specific metabolic patterns for Diabetic Nephropathy (DN) and Hypertensive Nephrosclerosis (HN), aligning with their shared clinical presentation.
- Characterized metabolic fluctuations between CKD subtypes and controls.
Conclusions:
- Urine metabolomics shows promise for identifying the etiology of early-stage CKD, particularly IgA Nephropathy.
- NMR-based metabolomics can aid in differentiating CKD subtypes.
- Findings support improved diagnostic and prognostic approaches for CKD and offer insights into its pathology.
Abstract:
Chronic Kidney Disease (CKD) is considered as a major public health problem as it can lead to end-stage kidney failure, which requires replacement therapy. A prompt and accurate diagnosis, along with the appropriate treatment, can delay CKD's progression, significantly. Herein, we sought to determine whether CKD etiology can be reflected in urine metabolomics during its early stage. This is achieved through the analysis of the urine metabolic fingerprint from 108 CKD patients by means of Nuclear Magnetic Resonance (NMR) spectroscopy metabolomic analysis. We report the first NMR-metabolomics data regarding the three most common etiologies of CKD: Chronic Glomerulonephritis (IgA and Membranous Nephropathy), Diabetic Nephropathy (DN) and Hypertensive Nephrosclerosis (HN). Analysis aided a moderate glomerulonephritis clustering, providing characterization of the metabolic fluctuations between the CKD subtypes and control disease. The urine metabolome of IgA Nephropathy reveals a specific metabolism, reflecting its different etiology or origin and is useful for determining the origin of the disease. In contrast, urine metabolomes from DN and HN patients did not reveal any indicative metabolic pattern, which is consistent with their fused clinical phenotype. These findings may contribute to improving diagnostics and prognostic approaches for CKD, as well as improving our understanding of its pathology.
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