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Refined Analysis of Brain Energy Metabolism Using In Vivo Dynamic Enrichment of 13C Multiplets

Dehghani M, Masoumeh; Lanz, Bernard; Duarte, João M N LU ; Kunz, Nicolas and Gruetter, Rolf (2016) In ASN Neuro 8(2).
Abstract

Carbon-13 nuclear magnetic resonance spectroscopy in combination with the infusion of (13)C-labeled precursors is a unique approach to study in vivo brain energy metabolism. Incorporating the maximum information available from in vivo localized (13)C spectra is of importance to get broader knowledge on cerebral metabolic pathways. Metabolic rates can be quantitatively determined from the rate of (13)C incorporation into amino acid neurotransmitters such as glutamate and glutamine using suitable mathematical models. The time course of multiplets arising from (13)C-(13)C coupling between adjacent carbon atoms was expected to provide additional information for metabolic modeling leading to potential improvements in the estimation of... (More)

Carbon-13 nuclear magnetic resonance spectroscopy in combination with the infusion of (13)C-labeled precursors is a unique approach to study in vivo brain energy metabolism. Incorporating the maximum information available from in vivo localized (13)C spectra is of importance to get broader knowledge on cerebral metabolic pathways. Metabolic rates can be quantitatively determined from the rate of (13)C incorporation into amino acid neurotransmitters such as glutamate and glutamine using suitable mathematical models. The time course of multiplets arising from (13)C-(13)C coupling between adjacent carbon atoms was expected to provide additional information for metabolic modeling leading to potential improvements in the estimation of metabolic parameters.The aim of the present study was to extend two-compartment neuronal/glial modeling to include dynamics of (13)C isotopomers available from fine structure multiplets in (13)C spectra of glutamate and glutamine measured in vivo in rats brain at 14.1 T, termed bonded cumomer approach. Incorporating the labeling time courses of (13)C multiplets of glutamate and glutamine resulted in elevated precision of the estimated fluxes in rat brain as well as reduced correlations between them.

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Contribution to journal
publication status
published
keywords
Animals, Brain, Carbon Isotopes, Energy Metabolism, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Male, Models, Biological, Neurotransmitter Agents, Nonlinear Dynamics, Probability, Rats, Rats, Sprague-Dawley, Spectrum Analysis, Time Factors, Journal Article, Research Support, Non-U.S. Gov't
in
ASN Neuro
volume
8
issue
2
publisher
Portland Press Ltd.
external identifiers
  • scopus:84960803000
ISSN
1759-0914
DOI
10.1177/1759091416632342
language
English
LU publication?
no
id
ffec48af-e2d5-4eb9-b4b3-0bda8f9784cb
date added to LUP
2017-10-19 15:07:57
date last changed
2017-11-12 04:36:01
@article{ffec48af-e2d5-4eb9-b4b3-0bda8f9784cb,
  abstract     = {<p>Carbon-13 nuclear magnetic resonance spectroscopy in combination with the infusion of (13)C-labeled precursors is a unique approach to study in vivo brain energy metabolism. Incorporating the maximum information available from in vivo localized (13)C spectra is of importance to get broader knowledge on cerebral metabolic pathways. Metabolic rates can be quantitatively determined from the rate of (13)C incorporation into amino acid neurotransmitters such as glutamate and glutamine using suitable mathematical models. The time course of multiplets arising from (13)C-(13)C coupling between adjacent carbon atoms was expected to provide additional information for metabolic modeling leading to potential improvements in the estimation of metabolic parameters.The aim of the present study was to extend two-compartment neuronal/glial modeling to include dynamics of (13)C isotopomers available from fine structure multiplets in (13)C spectra of glutamate and glutamine measured in vivo in rats brain at 14.1 T, termed bonded cumomer approach. Incorporating the labeling time courses of (13)C multiplets of glutamate and glutamine resulted in elevated precision of the estimated fluxes in rat brain as well as reduced correlations between them.</p>},
  author       = {Dehghani M, Masoumeh and Lanz, Bernard and Duarte, João M N and Kunz, Nicolas and Gruetter, Rolf},
  issn         = {1759-0914},
  keyword      = {Animals,Brain,Carbon Isotopes,Energy Metabolism,Image Processing, Computer-Assisted,Magnetic Resonance Imaging,Magnetic Resonance Spectroscopy,Male,Models, Biological,Neurotransmitter Agents,Nonlinear Dynamics,Probability,Rats,Rats, Sprague-Dawley,Spectrum Analysis,Time Factors,Journal Article,Research Support, Non-U.S. Gov't},
  language     = {eng},
  month        = {03},
  number       = {2},
  publisher    = {Portland Press Ltd.},
  series       = {ASN Neuro},
  title        = {Refined Analysis of Brain Energy Metabolism Using In Vivo Dynamic Enrichment of 13C Multiplets},
  url          = {http://dx.doi.org/10.1177/1759091416632342},
  volume       = {8},
  year         = {2016},
}