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Updated: Aug 5, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
11:02

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

598

Untargeted plasma 1H NMR-based metabolomic profiling in different stages of chronic kidney disease

Renato Itamar Duarte Fonseca1, Leociley Rocha Alencar Menezes2, Arquimedes Paixão Santana-Filho2

  • 1Department of Basic Pathology, Universidade Federal do Paraná, Curitiba 80050-540, Brazil.

Journal of Pharmaceutical and Biomedical Analysis
|March 24, 2023
PubMed

Insights

Nuclear Magnetic Resonance Spectroscopy (NMR) identified distinct metabolic profiles in chronic kidney disease (CKD) patients. These changes, including specific metabolites, can help track disease progression and inform treatment strategies.

Area of Science:

  • Biochemistry
  • Metabolomics
  • Nephrology

Background:

  • Chronic kidney disease (CKD) is a global health concern.
  • Current diagnostic methods like eGFR and albuminuria offer limited insight into CKD progression mechanisms.
  • Understanding CKD's metabolic underpinnings is crucial for improved management.

Purpose of the Study:

  • To identify specific changes in plasma metabolomic profiles associated with advancing stages of chronic kidney disease (CKD).
  • To explore the potential of Nuclear Magnetic Resonance (NMR) spectroscopy for metabolic assessment in CKD patients.

Main Methods:

  • Analyzed 77 plasma samples from CKD patients and controls using 1D and 2D NMR spectroscopy.
  • Employed Principal Component Analysis (PCA) for data clustering and identification of discriminating metabolites.
  • Utilized MetaboAnalyst 4.0 for pathway analysis on CKD stage 5 (G5) plasma samples.

Main Results:

  • Significant differences in metabolomic profiles were observed between CKD patients and controls.
  • PCA successfully clustered patients into control, early-to-mid stage CKD (G1-G4), and late-stage CKD (G5) groups.
  • Specific metabolites like lactate, glucose, acetate, and creatinine differentiated CKD stages, while TMAO generation was highlighted in G5.

Conclusions:

  • NMR-based metabolomic profiling can effectively distinguish between different stages of CKD.
  • Metabolic pathway analysis revealed key pathways, including glycolysis and gluconeogenesis, involved in CKD.
  • The findings support the feasibility of using NMR for monitoring CKD progression and treatment response.

Keywords:
Chronic kidney diseaseMetabolomicsNuclear Magnetic ResonanceStatistical analysis

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