The signals detected during physiological activation of the brain with F-deoxyglucose DG PET reflect predominantly uptake of this tracer into astrocytes. This notion provides a cellular and molecular basis for the FDG PET technique. Although in recent years the functional brain imaging has experienced enormous advances, the cellular and, in particular, the molecular mechanisms generating the signals detected by these techniques are not completely known. In this paper, we present a computational model that attempts to disentangle the intricate nature of the molecular interactions governing the brain energy metabolism. The model describes the glutamate-stimulated glucose uptake and use into astrocytes. It consists of a set of ordinary dif- ferential equations, each of which specifying the time-behavior of the main molecular species involved in the astrocytic glucose use (i. e. glutamate, glucose, Na+, beta-threohydroxyaspartate) and the dynam- ical rates of glutamate, glucose and Na+ uptake. The kinetic rates constants of the model have been identified on a set of dynamic PET images. As far as we know, a mathematical and computational model of the brain energy metabolism at the molecular level has been never proposed. The relevance of such a model to the PET functional brain imaging consists in providing an in silico framework, in which to experiment the molecular glucose dynamics and elucidate their still elusive aspects. This is the preliminary version of a paper that was published in Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science, Springer. The original version of the publication is available at http://www.springerlink.com/content/28543x414441760p/

Molecular Mechanism of Energy Metabolism in Astrocytes: A Parametric Model from FDG PET Images / Lecca, Paola; Lecca, Michela. - ELETTRONICO. - (2007), pp. 1-20.

Molecular Mechanism of Energy Metabolism in Astrocytes: A Parametric Model from FDG PET Images

Lecca, Paola;
2007-01-01

Abstract

The signals detected during physiological activation of the brain with F-deoxyglucose DG PET reflect predominantly uptake of this tracer into astrocytes. This notion provides a cellular and molecular basis for the FDG PET technique. Although in recent years the functional brain imaging has experienced enormous advances, the cellular and, in particular, the molecular mechanisms generating the signals detected by these techniques are not completely known. In this paper, we present a computational model that attempts to disentangle the intricate nature of the molecular interactions governing the brain energy metabolism. The model describes the glutamate-stimulated glucose uptake and use into astrocytes. It consists of a set of ordinary dif- ferential equations, each of which specifying the time-behavior of the main molecular species involved in the astrocytic glucose use (i. e. glutamate, glucose, Na+, beta-threohydroxyaspartate) and the dynam- ical rates of glutamate, glucose and Na+ uptake. The kinetic rates constants of the model have been identified on a set of dynamic PET images. As far as we know, a mathematical and computational model of the brain energy metabolism at the molecular level has been never proposed. The relevance of such a model to the PET functional brain imaging consists in providing an in silico framework, in which to experiment the molecular glucose dynamics and elucidate their still elusive aspects. This is the preliminary version of a paper that was published in Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science, Springer. The original version of the publication is available at http://www.springerlink.com/content/28543x414441760p/
2007
Trento
The Microsoft Research - University of Trento Centre for Computational and Systems Biology
Molecular Mechanism of Energy Metabolism in Astrocytes: A Parametric Model from FDG PET Images / Lecca, Paola; Lecca, Michela. - ELETTRONICO. - (2007), pp. 1-20.
Lecca, Paola; Lecca, Michela
File in questo prodotto:
File Dimensione Formato  
TR-07-2007.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.37 MB
Formato Adobe PDF
1.37 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/358844
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact