Leenders, J, Grootveld, M, Percival, B ORCID: https://orcid.org/0000-0002-8769-8979, Gibson, M, Casanova, F and Wilson, PB ORCID: https://orcid.org/0000-0003-0207-2246, 2020. Benchtop low-frequency 60 MHz NMR analysis of urine: a comparative metabolomics investigation. Metabolites, 10 (4): 155. ISSN 2218-1989
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Abstract
Metabolomics techniques are now applied in numerous fields, with the ability to provide information concerning a large number of metabolites from a single sample in a short timeframe. Although high-frequency (HF) nuclear magnetic resonance (NMR) analysis represents a common method of choice to perform such studies, few investigations employing low-frequency (LF) NMR spectrometers have yet been published. Herein, we apply and contrast LF and HF 1 H-NMR metabolomics approaches to the study of urine samples collected from type 2 diabetic patients (T2D), and apply a comparative investigation with healthy controls. Additionally, we explore the capabilities of LF 1 H-1 H 2D correlation spectroscopy (COSY) experiments regarding the determination of metabolites, their resolution and associated analyses in human urine samples. T2D samples were readily distinguishable from controls, with several metabolites, particularly glucose, being associated with this distinction. Comparable results were obtained with HF and LF spectrometers. Linear correlation analyses were performed to derive relationships between the intensities of 1D and 2D resonances of several metabolites, and R 2 values obtained were able to confirm these, an observation attesting to the validity of employing 2D LF experiments for future applications in metabolomics studies. Our data suggest that LF spectrometers may prove to be easy-to-use, compact and inexpensive tools to perform routine metabolomics analyses in laboratories and 'point-of-care' sites. Furthermore, the quality of 2D spectra obtained from these instruments in half an hour would broaden the horizon of their potential applications.
Item Type: | Journal article |
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Publication Title: | Metabolites |
Creators: | Leenders, J., Grootveld, M., Percival, B., Gibson, M., Casanova, F. and Wilson, P.B. |
Publisher: | MDPI |
Date: | 16 April 2020 |
Volume: | 10 |
Number: | 4 |
ISSN: | 2218-1989 |
Identifiers: | Number Type 10.3390/metabo10040155 DOI 1317082 Other |
Rights: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
Divisions: | Schools > School of Animal, Rural and Environmental Sciences |
Record created by: | Jonathan Gallacher |
Date Added: | 16 Jun 2020 21:20 |
Last Modified: | 17 Mar 2022 15:24 |
URI: | https://irep.ntu.ac.uk/id/eprint/40013 |
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