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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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Detalles Bibliográficos
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
Descripción
Sumario: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.