Metabolic Flux and Compartmentation Analysis in the Brain In vivo.


Autoria(s): Lanz B.; Gruetter R.; Duarte J.M.
Data(s)

2013

Resumo

Through significant developments and progresses in the last two decades, in vivo localized nuclear magnetic resonance spectroscopy (MRS) became a method of choice to probe brain metabolic pathways in a non-invasive way. Beside the measurement of the total concentration of more than 20 metabolites, (1)H MRS can be used to quantify the dynamics of substrate transport across the blood-brain barrier by varying the plasma substrate level. On the other hand, (13)C MRS with the infusion of (13)C-enriched substrates enables the characterization of brain oxidative metabolism and neurotransmission by incorporation of (13)C in the different carbon positions of amino acid neurotransmitters. The quantitative determination of the biochemical reactions involved in these processes requires the use of appropriate metabolic models, whose level of details is strongly related to the amount of data accessible with in vivo MRS. In the present work, we present the different steps involved in the elaboration of a mathematical model of a given brain metabolic process and its application to the experimental data in order to extract quantitative brain metabolic rates. We review the recent advances in the localized measurement of brain glucose transport and compartmentalized brain energy metabolism, and how these reveal mechanistic details on glial support to glutamatergic and GABAergic neurons.

Identificador

http://serval.unil.ch/?id=serval:BIB_57C0069DFC20

isbn:1664-2392 (Print)

pmid:24194729

doi:10.3389/fendo.2013.00156

http://my.unil.ch/serval/document/BIB_57C0069DFC20.pdf

http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_57C0069DFC208

Idioma(s)

en

Direitos

info:eu-repo/semantics/openAccess

Fonte

Frontiers in Endocrinology, vol. 4, no. 156, pp. 1-18

Palavras-Chave #neurotransmission,mathematical modeling,brain energy metabolism,MRS,neurotransmitter metabolism
Tipo

info:eu-repo/semantics/review

article