Toward dynamic isotopomer analysis in the rat brain in vivo: Automatic quantitation of 13C NMR spectra using LCModel

Pierre-Gilles Henry, Gulin Oz, Stephen Provencher, Rolf Gruetter

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58 Scopus citations

Abstract

The LCModel method was adapted to analyze localized in vivo 13C NMR spectra obtained from the rat brain in vivo at 9.4 T. Prior knowledge of chemical-shifts, J-coupling constants and J-evolution was included in the analysis. Up to 50 different isotopomer signals corresponding to 10 metabolites were quantified simultaneously in 400 μl volumes in the rat brain in vivo during infusion of [1,6-13C2]glucose. The analysis remained accurate even at low signal-to-noise ratio of the order of 3:1. The relative distribution of isotopomers in glutamate, glutamine and aspartate determined in vivo in 22 min was in excellent agreement with that measured in brain extracts. Quantitation of time series of 13C spectra yielded time courses of total 13C label incorporation into up to 16 carbon positions, as well as time courses of individual isotopomer signals, with a temporal resolution as low as 5 min (dynamic isotopomer analysis). The possibility of measuring in vivo a wealth of information that was hitherto accessible only in extracts is likely to expand the scope of metabolic studies in the intact brain.

Original languageEnglish (US)
Pages (from-to)400-412
Number of pages13
JournalNMR in biomedicine
Volume16
Issue number6-7
DOIs
StatePublished - 2003

Bibliographical note

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Brain
  • C NMR spectroscopy
  • In vivo
  • Isotopomers
  • LCModel
  • Prior knowledge
  • quantitation

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