Metabolic Flux and Compartmentation Analysis in the Brain In vivo.

Détails

Ressource 1Télécharger: BIB_57C0069DFC20.P001.pdf (2613.10 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_57C0069DFC20
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Metabolic Flux and Compartmentation Analysis in the Brain In vivo.
Périodique
Frontiers in Endocrinology
Auteur(s)
Lanz B., Gruetter R., Duarte J.M.
ISSN
1664-2392 (Print)
ISSN-L
1664-2392
Statut éditorial
Publié
Date de publication
2013
Peer-reviewed
Oui
Volume
4
Numéro
156
Pages
1-18
Langue
anglais
Notes
Publication types: REVIEWPublication Status: epublish
Résumé
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.
Mots-clé
neurotransmission,mathematical modeling,brain energy metabolism,MRS,neurotransmitter metabolism
Pubmed
Open Access
Oui
Création de la notice
07/11/2013 8:20
Dernière modification de la notice
20/08/2019 15:11
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