Imperial College London
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DrPanteleimonTakis

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Honorary Research Associate
 
 
 
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Contact

 

p.takis Website

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chasapi:2022:10.3390/metabo12060490,
author = {Chasapi, SA and Karagkouni, E and Kalavrizioti, D and Vamvakas, S and Zompra, A and Takis, PG and Goumenos, DS and Spyroulias, GA},
doi = {10.3390/metabo12060490},
journal = {Metabolites},
pages = {1--14},
title = {NMR-based metabolomics in differential diagnosis of Chronic Kidney Disease (CKD) subtypes},
url = {http://dx.doi.org/10.3390/metabo12060490},
volume = {12},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Chasapi,SA
AU  - Karagkouni,E
AU  - Kalavrizioti,D
AU  - Vamvakas,S
AU  - Zompra,A
AU  - Takis,PG
AU  - Goumenos,DS
AU  - Spyroulias,GA
DO  - 10.3390/metabo12060490
EP  - 14
PY  - 2022///
SN  - 2218-1989
SP  - 1
TI  - NMR-based metabolomics in differential diagnosis of Chronic Kidney Disease (CKD) subtypes
T2  - Metabolites
UR  - http://dx.doi.org/10.3390/metabo12060490
UR  - https://www.mdpi.com/2218-1989/12/6/490
UR  - http://hdl.handle.net/10044/1/97098
VL  - 12
ER  -
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