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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
636
Identification of Metabolite Markers Associated with Kidney Function.
Hongquan Peng1, Xun Liu2, Chiwa Aoieong1
1Department of Nephrology, Kiang Wu Hospital, Macau, China.
Journal of Immunology Research
|August 5, 2022
Summary
This study identified novel serum metabolites linked to chronic kidney disease (CKD) progression. These biomarkers could improve glomerular filtration rate (GFR) estimation and understanding of kidney disease.
Area of Science:
- Biochemistry
- Nephrology
- Metabolomics
Background:
- Chronic kidney disease (CKD) poses a significant global health challenge.
- Accurate glomerular filtration rate (GFR) estimation is crucial for CKD diagnosis and management.
- Discovering novel biomarkers can enhance molecular-level understanding and GFR assessment in CKD.
Purpose of the Study:
- To identify novel small molecule metabolites associated with varying kidney function.
- To discover potential biomarkers for improved diagnosis and understanding of CKD.
- To explore metabolites that correlate with glomerular filtration rate (GFR).
Main Methods:
- Serum samples from 53 participants with a wide range of measured GFR (mGFR) were analyzed.
- Ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was employed for untargeted metabolomics.
- Random forest methods and other statistical analyses were used to identify key metabolites.
Main Results:
- Significant differences in serum metabolite profiles were observed across CKD stages.
- Six novel metabolites (erythonate, gulonate, C-glycosyltryptophan, N-acetylserine, N6-carbamoylthreonyladenosine, pseudouridine) were reproducibly associated with mGFR.
- Hydroxyasparagine showed a strong association with mGFR and CKD, unique to this study.
Conclusions:
- Global serum metabolite profiling identified potential biomarkers for different stages of CKD.
- These biomarkers may offer insights into CKD pathophysiology and progression.
- The identified metabolites could potentially improve GFR estimation accuracy.
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