Cloutier2009 - Brain Energy Metabolism

Cloutier2009 - Brain Energy Metabolism

This model was taken from the 
CellML
repository
 and
automatically converted to SBML.  Following the
submission the parameters are manually encoded and annotated as
spices and global quantities by BioModels curators. 

The
original model was: 

Cloutier M, Bolger FB, Lowry JP, Wellstead P. (2009) -
version=1.0 

The
original CellML model was created by: 

Catherine
Lloyd

[e-mail] 

The
University of Auckland 

This model is described in the article:

An integrative dynamic model
of brain energy metabolism using in vivo neurochemical
measurements.

Cloutier M, Bolger FB, Lowry JP,
Wellstead P.
J Comput Neurosci 2009 Dec; 27(3):
391-414
Abstract:

An integrative, systems approach to the modelling of brain
energy metabolism is presented. Mechanisms such as glutamate
cycling between neurons and astrocytes and glycogen storage in
astrocytes have been implemented. A unique feature of the model
is its calibration using in vivo data of brain glucose and
lactate from freely moving rats under various stimuli. The
model has been used to perform simulated perturbation
experiments that show that glycogen breakdown in astrocytes is
significantly activated during sensory (tail pinch)
stimulation. This mechanism provides an additional input of
energy substrate during high consumption phases. By way of
validation, data from the perfusion of 50 microM propranolol in
the rat brain was compared with the model outputs. Propranolol
affects the glucose dynamics during stimulation, and this was
accurately reproduced in the model by a reduction in the
glycogen breakdown in astrocytes. The model's predictive
capacity was verified by using data from a sensory stimulation
(restraint) that was not used for model calibration. Finally, a
sensitivity analysis was conducted on the model parameters,
this showed that the control of energy metabolism and transport
processes are critical in the metabolic behaviour of cerebral
tissue.

This model is hosted on
BioModels Database
and identified by:
BIOMD0000000554.
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BioModels Database:
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quantitative kinetic models.

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neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.