High-Speed Tracer Analysis of Metabolism (HS-TrAM) [version 1; referees: 1 approved, 2 approved with reservations]

• Main Authors: Thomas Brendan Smith, Kamlesh Patel, Haydn Munford, Andrew Peet, Daniel A. Tennant, Mark Jeeves, Christian Ludwig
• Format: Article
• Language: English
• Published: Wellcome 2018-01-01
• Series: Wellcome Open Research
• Online Access: https://wellcomeopenresearch.org/articles/3-5/v1

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) offers high resolution data, yet 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 due to J-coupling in 1H,13C-HSQC NMR spectra, which allow the rapid collection of NMR 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 novel 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, and also show how the use of multiple nutrients, differentially labelled with 13C and 15N, can be used to provide additional information with which to profile metabolic pathways.