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Analysis of chemical exchange saturation transfer contributions from brain metabolites to the Z-spectra at various field strengths and pH
Chemical exchange saturation transfer (CEST) exploits the chemical exchange of labile protons of an endogenous or exogenous compound with water to image the former indirectly through the water signal. Z-spectra of the brain have traditionally been analyzed for two most common saturation phenomena: d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355971/ https://www.ncbi.nlm.nih.gov/pubmed/30705355 http://dx.doi.org/10.1038/s41598-018-37295-y |
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author | Khlebnikov, Vitaliy van der Kemp, Wybe J. M. Hoogduin, Hans Klomp, Dennis W. J. Prompers, Jeanine J. |
author_facet | Khlebnikov, Vitaliy van der Kemp, Wybe J. M. Hoogduin, Hans Klomp, Dennis W. J. Prompers, Jeanine J. |
author_sort | Khlebnikov, Vitaliy |
collection | PubMed |
description | Chemical exchange saturation transfer (CEST) exploits the chemical exchange of labile protons of an endogenous or exogenous compound with water to image the former indirectly through the water signal. Z-spectra of the brain have traditionally been analyzed for two most common saturation phenomena: downfield amide proton transfer (APT) and upfield nuclear Overhauser enhancement (NOE). However, a great body of brain metabolites, many of interest in neurology and oncology, contributes to the downfield saturation in Z-spectra. The extraction of these “hidden” metabolites from Z-spectra requires careful design of CEST sequences and data processing models, which is only possible by first obtaining CEST signatures of the brain metabolites possessing labile protons. In this work, we measured exchange rates of all major-for-CEST brain metabolites in the physiological pH range at 37 °C. Analysis of their contributions to Z-spectra revealed that regardless of the main magnetic field strength and pH, five main contributors, i.e. myo-inositol, creatine, phosphocreatine, glutamate, and mobile (poly)peptides, account for ca. 90% of downfield CEST effect. The fundamental CEST parameters presented in this study can be exploited in the design of novel CEST sequences and Z-spectra processing models, which will enable simultaneous and quantitative CEST imaging of multiple metabolites: multicolor CEST. |
format | Online Article Text |
id | pubmed-6355971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63559712019-02-04 Analysis of chemical exchange saturation transfer contributions from brain metabolites to the Z-spectra at various field strengths and pH Khlebnikov, Vitaliy van der Kemp, Wybe J. M. Hoogduin, Hans Klomp, Dennis W. J. Prompers, Jeanine J. Sci Rep Article Chemical exchange saturation transfer (CEST) exploits the chemical exchange of labile protons of an endogenous or exogenous compound with water to image the former indirectly through the water signal. Z-spectra of the brain have traditionally been analyzed for two most common saturation phenomena: downfield amide proton transfer (APT) and upfield nuclear Overhauser enhancement (NOE). However, a great body of brain metabolites, many of interest in neurology and oncology, contributes to the downfield saturation in Z-spectra. The extraction of these “hidden” metabolites from Z-spectra requires careful design of CEST sequences and data processing models, which is only possible by first obtaining CEST signatures of the brain metabolites possessing labile protons. In this work, we measured exchange rates of all major-for-CEST brain metabolites in the physiological pH range at 37 °C. Analysis of their contributions to Z-spectra revealed that regardless of the main magnetic field strength and pH, five main contributors, i.e. myo-inositol, creatine, phosphocreatine, glutamate, and mobile (poly)peptides, account for ca. 90% of downfield CEST effect. The fundamental CEST parameters presented in this study can be exploited in the design of novel CEST sequences and Z-spectra processing models, which will enable simultaneous and quantitative CEST imaging of multiple metabolites: multicolor CEST. Nature Publishing Group UK 2019-01-31 /pmc/articles/PMC6355971/ /pubmed/30705355 http://dx.doi.org/10.1038/s41598-018-37295-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Khlebnikov, Vitaliy van der Kemp, Wybe J. M. Hoogduin, Hans Klomp, Dennis W. J. Prompers, Jeanine J. Analysis of chemical exchange saturation transfer contributions from brain metabolites to the Z-spectra at various field strengths and pH |
title | Analysis of chemical exchange saturation transfer contributions from brain metabolites to the Z-spectra at various field strengths and pH |
title_full | Analysis of chemical exchange saturation transfer contributions from brain metabolites to the Z-spectra at various field strengths and pH |
title_fullStr | Analysis of chemical exchange saturation transfer contributions from brain metabolites to the Z-spectra at various field strengths and pH |
title_full_unstemmed | Analysis of chemical exchange saturation transfer contributions from brain metabolites to the Z-spectra at various field strengths and pH |
title_short | Analysis of chemical exchange saturation transfer contributions from brain metabolites to the Z-spectra at various field strengths and pH |
title_sort | analysis of chemical exchange saturation transfer contributions from brain metabolites to the z-spectra at various field strengths and ph |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355971/ https://www.ncbi.nlm.nih.gov/pubmed/30705355 http://dx.doi.org/10.1038/s41598-018-37295-y |
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