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Low-Field, Benchtop NMR Spectroscopy as a Potential Tool for Point-of-Care Diagnostics of Metabolic Conditions: Validation, Protocols and Computational Models

Novel sensing technologies for liquid biopsies offer promising prospects for the early detection of metabolic conditions through omics techniques. Indeed, high-field nuclear magnetic resonance (NMR) facilities are routinely used for metabolomics investigations on a range of biofluids in order to rap...

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Autores principales: Percival, Benita C., Grootveld, Martin, Gibson, Miles, Osman, Yasan, Molinari, Marco, Jafari, Fereshteh, Sahota, Tarsem, Martin, Mark, Casanova, Federico, Mather, Melissa L., Edgar, Mark, Masania, Jinit, Wilson, Philippe B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480726/
https://www.ncbi.nlm.nih.gov/pubmed/30591692
http://dx.doi.org/10.3390/ht8010002
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author Percival, Benita C.
Grootveld, Martin
Gibson, Miles
Osman, Yasan
Molinari, Marco
Jafari, Fereshteh
Sahota, Tarsem
Martin, Mark
Casanova, Federico
Mather, Melissa L.
Edgar, Mark
Masania, Jinit
Wilson, Philippe B.
author_facet Percival, Benita C.
Grootveld, Martin
Gibson, Miles
Osman, Yasan
Molinari, Marco
Jafari, Fereshteh
Sahota, Tarsem
Martin, Mark
Casanova, Federico
Mather, Melissa L.
Edgar, Mark
Masania, Jinit
Wilson, Philippe B.
author_sort Percival, Benita C.
collection PubMed
description Novel sensing technologies for liquid biopsies offer promising prospects for the early detection of metabolic conditions through omics techniques. Indeed, high-field nuclear magnetic resonance (NMR) facilities are routinely used for metabolomics investigations on a range of biofluids in order to rapidly recognise unusual metabolic patterns in patients suffering from a range of diseases. However, these techniques are restricted by the prohibitively large size and cost of such facilities, suggesting a possible role for smaller, low-field NMR instruments in biofluid analysis. Herein we describe selected biomolecule validation on a low-field benchtop NMR spectrometer (60 MHz), and present an associated protocol for the analysis of biofluids on compact NMR instruments. We successfully detect common markers of diabetic control at low-to-medium concentrations through optimised experiments, including α-glucose (≤2.8 mmol/L) and acetone (25 µmol/L), and additionally in readily accessible biofluids, particularly human urine. We present a combined protocol for the analysis of these biofluids with low-field NMR spectrometers for metabolomics applications, and offer a perspective on the future of this technique appealing to ‘point-of-care’ applications.
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spelling pubmed-64807262019-05-02 Low-Field, Benchtop NMR Spectroscopy as a Potential Tool for Point-of-Care Diagnostics of Metabolic Conditions: Validation, Protocols and Computational Models Percival, Benita C. Grootveld, Martin Gibson, Miles Osman, Yasan Molinari, Marco Jafari, Fereshteh Sahota, Tarsem Martin, Mark Casanova, Federico Mather, Melissa L. Edgar, Mark Masania, Jinit Wilson, Philippe B. High Throughput Article Novel sensing technologies for liquid biopsies offer promising prospects for the early detection of metabolic conditions through omics techniques. Indeed, high-field nuclear magnetic resonance (NMR) facilities are routinely used for metabolomics investigations on a range of biofluids in order to rapidly recognise unusual metabolic patterns in patients suffering from a range of diseases. However, these techniques are restricted by the prohibitively large size and cost of such facilities, suggesting a possible role for smaller, low-field NMR instruments in biofluid analysis. Herein we describe selected biomolecule validation on a low-field benchtop NMR spectrometer (60 MHz), and present an associated protocol for the analysis of biofluids on compact NMR instruments. We successfully detect common markers of diabetic control at low-to-medium concentrations through optimised experiments, including α-glucose (≤2.8 mmol/L) and acetone (25 µmol/L), and additionally in readily accessible biofluids, particularly human urine. We present a combined protocol for the analysis of these biofluids with low-field NMR spectrometers for metabolomics applications, and offer a perspective on the future of this technique appealing to ‘point-of-care’ applications. MDPI 2018-12-27 /pmc/articles/PMC6480726/ /pubmed/30591692 http://dx.doi.org/10.3390/ht8010002 Text en © 2018 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/).
spellingShingle Article
Percival, Benita C.
Grootveld, Martin
Gibson, Miles
Osman, Yasan
Molinari, Marco
Jafari, Fereshteh
Sahota, Tarsem
Martin, Mark
Casanova, Federico
Mather, Melissa L.
Edgar, Mark
Masania, Jinit
Wilson, Philippe B.
Low-Field, Benchtop NMR Spectroscopy as a Potential Tool for Point-of-Care Diagnostics of Metabolic Conditions: Validation, Protocols and Computational Models
title Low-Field, Benchtop NMR Spectroscopy as a Potential Tool for Point-of-Care Diagnostics of Metabolic Conditions: Validation, Protocols and Computational Models
title_full Low-Field, Benchtop NMR Spectroscopy as a Potential Tool for Point-of-Care Diagnostics of Metabolic Conditions: Validation, Protocols and Computational Models
title_fullStr Low-Field, Benchtop NMR Spectroscopy as a Potential Tool for Point-of-Care Diagnostics of Metabolic Conditions: Validation, Protocols and Computational Models
title_full_unstemmed Low-Field, Benchtop NMR Spectroscopy as a Potential Tool for Point-of-Care Diagnostics of Metabolic Conditions: Validation, Protocols and Computational Models
title_short Low-Field, Benchtop NMR Spectroscopy as a Potential Tool for Point-of-Care Diagnostics of Metabolic Conditions: Validation, Protocols and Computational Models
title_sort low-field, benchtop nmr spectroscopy as a potential tool for point-of-care diagnostics of metabolic conditions: validation, protocols and computational models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480726/
https://www.ncbi.nlm.nih.gov/pubmed/30591692
http://dx.doi.org/10.3390/ht8010002
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