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A metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear MR: a qualitative and quantitative tool
PURPOSE: The aim of this study is to generate a metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning (HRMAS) nuclear MR (NMR). METHODS: Seventy‐six metabolites, classically found in human biopsy samples, were prepared in aqueous solution at a known co...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594138/ https://www.ncbi.nlm.nih.gov/pubmed/30847981 http://dx.doi.org/10.1002/mrm.27696 |
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author | Ruhland, Elisa Bund, Caroline Outilaft, Hassiba Piotto, Martial Namer, Izzie‐Jacques |
author_facet | Ruhland, Elisa Bund, Caroline Outilaft, Hassiba Piotto, Martial Namer, Izzie‐Jacques |
author_sort | Ruhland, Elisa |
collection | PubMed |
description | PURPOSE: The aim of this study is to generate a metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning (HRMAS) nuclear MR (NMR). METHODS: Seventy‐six metabolites, classically found in human biopsy samples, were prepared in aqueous solution at a known concentration and analyzed by HRMAS NMR. The spectra were recorded under the same conditions as the ones used for the analysis of biopsy specimens routinely performed in our hospital. RESULTS: For each metabolite, a complete set of NMR spectra (1D (1)H, 1D (1)H‐CPMG, 2D J‐Resolved, 2D TOCSY, and 2D (1)H‐(13)C HSQC) was recorded at 500 MHz and 277 K. All spectra were manually assigned using the information contained in the different spectra and existing databases. Experiments to measure the T(1) and the T(2) of the different protons present in the 76 metabolites were also recorded. CONCLUSION: This new HRMAS metabolic database is a useful tool for all scientists working on human biopsy specimens, particularly in the field of oncology. It will make the identification of metabolites in biopsy specimens faster and more reliable. Additionally, the knowledge of the T(1) and T(2) values will allow to obtain a more accurate quantification of the metabolites present in biopsy specimens. |
format | Online Article Text |
id | pubmed-6594138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65941382019-07-10 A metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear MR: a qualitative and quantitative tool Ruhland, Elisa Bund, Caroline Outilaft, Hassiba Piotto, Martial Namer, Izzie‐Jacques Magn Reson Med Note—Spectroscopic Methodology PURPOSE: The aim of this study is to generate a metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning (HRMAS) nuclear MR (NMR). METHODS: Seventy‐six metabolites, classically found in human biopsy samples, were prepared in aqueous solution at a known concentration and analyzed by HRMAS NMR. The spectra were recorded under the same conditions as the ones used for the analysis of biopsy specimens routinely performed in our hospital. RESULTS: For each metabolite, a complete set of NMR spectra (1D (1)H, 1D (1)H‐CPMG, 2D J‐Resolved, 2D TOCSY, and 2D (1)H‐(13)C HSQC) was recorded at 500 MHz and 277 K. All spectra were manually assigned using the information contained in the different spectra and existing databases. Experiments to measure the T(1) and the T(2) of the different protons present in the 76 metabolites were also recorded. CONCLUSION: This new HRMAS metabolic database is a useful tool for all scientists working on human biopsy specimens, particularly in the field of oncology. It will make the identification of metabolites in biopsy specimens faster and more reliable. Additionally, the knowledge of the T(1) and T(2) values will allow to obtain a more accurate quantification of the metabolites present in biopsy specimens. John Wiley and Sons Inc. 2019-03-07 2019-07 /pmc/articles/PMC6594138/ /pubmed/30847981 http://dx.doi.org/10.1002/mrm.27696 Text en © 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Note—Spectroscopic Methodology Ruhland, Elisa Bund, Caroline Outilaft, Hassiba Piotto, Martial Namer, Izzie‐Jacques A metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear MR: a qualitative and quantitative tool |
title | A metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear MR: a qualitative and quantitative tool |
title_full | A metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear MR: a qualitative and quantitative tool |
title_fullStr | A metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear MR: a qualitative and quantitative tool |
title_full_unstemmed | A metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear MR: a qualitative and quantitative tool |
title_short | A metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear MR: a qualitative and quantitative tool |
title_sort | metabolic database for biomedical studies of biopsy specimens by high‐resolution magic angle spinning nuclear mr: a qualitative and quantitative tool |
topic | Note—Spectroscopic Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594138/ https://www.ncbi.nlm.nih.gov/pubmed/30847981 http://dx.doi.org/10.1002/mrm.27696 |
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