High-resolution detection of 13C multiplets from the conscious mouse brain by ex vivo NMR spectroscopy

Isaac Marin-Valencia, Levi B. Good, Qian Ma, F. Mark Jeffrey, Craig R. Malloy, Juan M. Pascual

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Glucose readily supplies the brain with the majority of carbon needed to sustain neurotransmitter production and utilization. The rate of brain glucose metabolism can be computed using 13C nuclear magnetic resonance (NMR) spectroscopy by detecting changes in 13C contents of products generated by cerebral metabolism. As previously observed, scalar coupling between adjacent 13C carbons (multiplets) can provide additional information to 13C contents for the computation of metabolic rates. Most NMR studies have been conducted in large animals (often under anesthesia) because the mass of the target organ is a limiting factor for NMR. Yet, despite the challengingly small size of the mouse brain, NMR studies are highly desirable because the mouse constitutes a common animal model for human neurological disorders. We have developed a method for the ex vivo resolution of NMR multiplets arising from the brain of an awake mouse after the infusion of [1,6- 13C 2]glucose. NMR spectra obtained by this method display favorable signal-to-noise ratios. With this infusion protocol, the 13C multiplets of glutamate, glutamine, GABA and aspartate achieved steady state after 150min. The method enables the accurate resolution of multiplets over time in the awake mouse brain. We anticipate that this method can be broadly applicable to compute brain fluxes in normal and transgenic mouse models of neurological disorders.

Original languageEnglish (US)
Pages (from-to)50-55
Number of pages6
JournalJournal of Neuroscience Methods
Volume203
Issue number1
DOIs
StatePublished - Jan 15 2012

Keywords

  • Brain metabolism
  • C
  • Glucose
  • Glutamate
  • Glutamine
  • Mouse
  • Multiplets
  • NMR spectroscopy
  • Stable isotopes

ASJC Scopus subject areas

  • General Neuroscience

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