IMR Press / FBE / Volume 2 / Issue 2 / DOI: 10.2741/E132

Frontiers in Bioscience-Elite (FBE) is published by IMR Press from Volume 13 Issue 2 (2021). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on imrpress.com as a courtesy and upon agreement with Frontiers in Bioscience.

Open Access Article

1H NMR-based metabolic profiling of urine from children with nephrouropathies

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1 Department of Toxicology, University of Cagliari, Italy
2 Department of Pediatrics and Clinical Medicine-Section of Neonatal Intensive Care Unit, University of Cagliari, Italy
3 Department of Neurological Sciences, University of Cagliari, Italy
4 Department of Chemical Sciences, University of Cagliari, Italy
5 Pediatric Division, Pescia Hospital, Italy
6 Department of Biological Sciences, University of Calgary, Canada

*Author to whom correspondence should be addressed.

Academic Editor: Giovanni Li Volti

Front. Biosci. (Elite Ed) 2010, 2(2), 725–732; https://doi.org/10.2741/E132
Published: 1 January 2010
(This article belongs to the Special Issue Biochemical markers in biological fluids)
Abstract

Pediatric nephrourological diseases are associated with functional alterations frequently related to inflammatory states. A feedback loop adjusts urinary system function while forcing adaptation to internal and external influences during disease development and as a result of treatment. We hypothesized that nephrourological dysfunction would alter the urine metabolite pattern in children in a defined manner. To characterize the metabolite patterns associated with nephrouropathies, a proton nuclear magnetic resonance (1H NMR)-based metabonomic analysis was performed on urine samples obtained from twenty-one children affected by nephrouropathies and 19 healthy controls. Urine samples were analyzed with a 400 MHz Varian spectrometer and multivariate statistical techniques were applied for data interpretation. Linear discriminant analysis–based classification of the spectral data demonstrated high accuracy (95%) in the separation of the two groups of samples. By extension, the urine metabolite profiles were shown to correlate with nephrourological disorders in our model. In conclusion, 1H NMR-based metabonomic analysis of urine appears to be a promising, non-invasive approach for investigating and monitoring pediatric nephrourological diseases.

Keywords
Metabonomics
Nephrourological Diseases
Non Invasive Analysis
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