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High-Speed Tracer Analysis of Metabolism (HS-TrAM)

Tracing the fate of stable isotopically-enriched nutrients is a sophisticated method of describing and quantifying the activity of metabolic pathways. Nuclear Magnetic Resonance (NMR) spectroscopy offers high resolution data in terms of resolving metabolic pathway utilisation. Despite this, NMR spec...

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Autores principales: Smith, Thomas Brendan, Patel, Kamlesh, Munford, Haydn, Peet, Andrew, Tennant, Daniel A., Jeeves, Mark, Ludwig, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811808/
https://www.ncbi.nlm.nih.gov/pubmed/29503875
http://dx.doi.org/10.12688/wellcomeopenres.13387.2
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author Smith, Thomas Brendan
Patel, Kamlesh
Munford, Haydn
Peet, Andrew
Tennant, Daniel A.
Jeeves, Mark
Ludwig, Christian
author_facet Smith, Thomas Brendan
Patel, Kamlesh
Munford, Haydn
Peet, Andrew
Tennant, Daniel A.
Jeeves, Mark
Ludwig, Christian
author_sort Smith, Thomas Brendan
collection PubMed
description Tracing the fate of stable isotopically-enriched nutrients is a sophisticated method of describing and quantifying the activity of metabolic pathways. Nuclear Magnetic Resonance (NMR) spectroscopy offers high resolution data in terms of resolving metabolic pathway utilisation. Despite this, NMR spectroscopy is under-utilised due to length of time required to collect the data, quantification requiring multiple samples and complicated analysis. Here we present two techniques, quantitative spectral filters and enhancement of the splitting of  (13)C signals due to homonuclear  (13)C, (13)C or heteronuclear  (13)C, (15)N J-coupling in  (1)H, (13)C-HSQC NMR spectra. Together, these allow the rapid collection of NMR spectroscopy data in a quantitative manner on a single sample. The reduced duration of HSQC spectra data acquisition opens up the possibility of real-time tracing of metabolism including the study of metabolic pathways  in vivo. We show how these techniques can be used to trace the fate of labelled nutrients in a whole organ model of kidney preservation prior to transplantation using a porcine kidney as a model organ. In addition, we show how the use of multiple nutrients, differentially labelled with  (13)C and  (15)N, can be used to provide additional information with which to profile metabolic pathways.
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spelling pubmed-58118082018-03-01 High-Speed Tracer Analysis of Metabolism (HS-TrAM) Smith, Thomas Brendan Patel, Kamlesh Munford, Haydn Peet, Andrew Tennant, Daniel A. Jeeves, Mark Ludwig, Christian Wellcome Open Res Method Article Tracing the fate of stable isotopically-enriched nutrients is a sophisticated method of describing and quantifying the activity of metabolic pathways. Nuclear Magnetic Resonance (NMR) spectroscopy offers high resolution data in terms of resolving metabolic pathway utilisation. Despite this, NMR spectroscopy is under-utilised due to length of time required to collect the data, quantification requiring multiple samples and complicated analysis. Here we present two techniques, quantitative spectral filters and enhancement of the splitting of  (13)C signals due to homonuclear  (13)C, (13)C or heteronuclear  (13)C, (15)N J-coupling in  (1)H, (13)C-HSQC NMR spectra. Together, these allow the rapid collection of NMR spectroscopy data in a quantitative manner on a single sample. The reduced duration of HSQC spectra data acquisition opens up the possibility of real-time tracing of metabolism including the study of metabolic pathways  in vivo. We show how these techniques can be used to trace the fate of labelled nutrients in a whole organ model of kidney preservation prior to transplantation using a porcine kidney as a model organ. In addition, we show how the use of multiple nutrients, differentially labelled with  (13)C and  (15)N, can be used to provide additional information with which to profile metabolic pathways. F1000 Research Limited 2018-08-22 /pmc/articles/PMC5811808/ /pubmed/29503875 http://dx.doi.org/10.12688/wellcomeopenres.13387.2 Text en Copyright: © 2018 Smith TB et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method Article
Smith, Thomas Brendan
Patel, Kamlesh
Munford, Haydn
Peet, Andrew
Tennant, Daniel A.
Jeeves, Mark
Ludwig, Christian
High-Speed Tracer Analysis of Metabolism (HS-TrAM)
title High-Speed Tracer Analysis of Metabolism (HS-TrAM)
title_full High-Speed Tracer Analysis of Metabolism (HS-TrAM)
title_fullStr High-Speed Tracer Analysis of Metabolism (HS-TrAM)
title_full_unstemmed High-Speed Tracer Analysis of Metabolism (HS-TrAM)
title_short High-Speed Tracer Analysis of Metabolism (HS-TrAM)
title_sort high-speed tracer analysis of metabolism (hs-tram)
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811808/
https://www.ncbi.nlm.nih.gov/pubmed/29503875
http://dx.doi.org/10.12688/wellcomeopenres.13387.2
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