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Application of Benchtop NMR for Metabolomics Study Using Feces of Mice with DSS-Induced Colitis
Nuclear magnetic resonance (NMR)-based metabolomics, which comprehensively measures metabolites in biological systems and investigates their response to various perturbations, is widely used in research to identify biomarkers and investigate the pathogenesis of underlying diseases. However, further...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224185/ https://www.ncbi.nlm.nih.gov/pubmed/37233652 http://dx.doi.org/10.3390/metabo13050611 |
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author | Song, Zihao Ohnishi, Yuki Osada, Seiji Gan, Li Jiang, Jiaxi Hu, Zhiyan Kumeta, Hiroyuki Kumaki, Yasuhiro Yokoi, Yuki Nakamura, Kiminori Ayabe, Tokiyoshi Yamauchi, Kazuo Aizawa, Tomoyasu |
author_facet | Song, Zihao Ohnishi, Yuki Osada, Seiji Gan, Li Jiang, Jiaxi Hu, Zhiyan Kumeta, Hiroyuki Kumaki, Yasuhiro Yokoi, Yuki Nakamura, Kiminori Ayabe, Tokiyoshi Yamauchi, Kazuo Aizawa, Tomoyasu |
author_sort | Song, Zihao |
collection | PubMed |
description | Nuclear magnetic resonance (NMR)-based metabolomics, which comprehensively measures metabolites in biological systems and investigates their response to various perturbations, is widely used in research to identify biomarkers and investigate the pathogenesis of underlying diseases. However, further applications of high-field superconducting NMR for medical purposes and field research are restricted by its high cost and low accessibility. In this study, we applied a low-field, benchtop NMR spectrometer (60 MHz) employing a permanent magnet to characterize the alterations in the metabolic profile of fecal extracts obtained from dextran sodium sulfate (DSS)-induced ulcerative colitis model mice and compared them with the data acquired from high-field NMR (800 MHz). Nineteen metabolites were assigned to the 60 MHz (1)H NMR spectra. Non-targeted multivariate analysis successfully discriminated the DSS-induced group from the healthy control group and showed high comparability with high-field NMR. In addition, the concentration of acetate, identified as a metabolite with characteristic behavior, could be accurately quantified using a generalized Lorentzian curve fitting method based on the 60 MHz NMR spectra. |
format | Online Article Text |
id | pubmed-10224185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102241852023-05-28 Application of Benchtop NMR for Metabolomics Study Using Feces of Mice with DSS-Induced Colitis Song, Zihao Ohnishi, Yuki Osada, Seiji Gan, Li Jiang, Jiaxi Hu, Zhiyan Kumeta, Hiroyuki Kumaki, Yasuhiro Yokoi, Yuki Nakamura, Kiminori Ayabe, Tokiyoshi Yamauchi, Kazuo Aizawa, Tomoyasu Metabolites Article Nuclear magnetic resonance (NMR)-based metabolomics, which comprehensively measures metabolites in biological systems and investigates their response to various perturbations, is widely used in research to identify biomarkers and investigate the pathogenesis of underlying diseases. However, further applications of high-field superconducting NMR for medical purposes and field research are restricted by its high cost and low accessibility. In this study, we applied a low-field, benchtop NMR spectrometer (60 MHz) employing a permanent magnet to characterize the alterations in the metabolic profile of fecal extracts obtained from dextran sodium sulfate (DSS)-induced ulcerative colitis model mice and compared them with the data acquired from high-field NMR (800 MHz). Nineteen metabolites were assigned to the 60 MHz (1)H NMR spectra. Non-targeted multivariate analysis successfully discriminated the DSS-induced group from the healthy control group and showed high comparability with high-field NMR. In addition, the concentration of acetate, identified as a metabolite with characteristic behavior, could be accurately quantified using a generalized Lorentzian curve fitting method based on the 60 MHz NMR spectra. MDPI 2023-04-28 /pmc/articles/PMC10224185/ /pubmed/37233652 http://dx.doi.org/10.3390/metabo13050611 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Song, Zihao Ohnishi, Yuki Osada, Seiji Gan, Li Jiang, Jiaxi Hu, Zhiyan Kumeta, Hiroyuki Kumaki, Yasuhiro Yokoi, Yuki Nakamura, Kiminori Ayabe, Tokiyoshi Yamauchi, Kazuo Aizawa, Tomoyasu Application of Benchtop NMR for Metabolomics Study Using Feces of Mice with DSS-Induced Colitis |
title | Application of Benchtop NMR for Metabolomics Study Using Feces of Mice with DSS-Induced Colitis |
title_full | Application of Benchtop NMR for Metabolomics Study Using Feces of Mice with DSS-Induced Colitis |
title_fullStr | Application of Benchtop NMR for Metabolomics Study Using Feces of Mice with DSS-Induced Colitis |
title_full_unstemmed | Application of Benchtop NMR for Metabolomics Study Using Feces of Mice with DSS-Induced Colitis |
title_short | Application of Benchtop NMR for Metabolomics Study Using Feces of Mice with DSS-Induced Colitis |
title_sort | application of benchtop nmr for metabolomics study using feces of mice with dss-induced colitis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224185/ https://www.ncbi.nlm.nih.gov/pubmed/37233652 http://dx.doi.org/10.3390/metabo13050611 |
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