Article (Scientific journals)
Mechanistic multiscale modelling of energy metabolism in human astrocytes reveals the impact of morphology changes in Alzheimer's Disease.
FARINA, Sofia; VOORSLUIJS, Valerie; FIXEMER, Sonja et al.
2023In PLoS Computational Biology, 19 (9), p. 1011464
Peer Reviewed verified by ORBi Dataset
 

Files


Full Text
Manuscript.pdf
Author postprint (7.24 MB)
Download
Full Text Parts
pcbi.1011464.s001.pdf
Author postprint (6.54 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Humans; Astrocytes/metabolism; Brain/metabolism; Energy Metabolism; Alzheimer Disease/metabolism; Alzheimer; Disease progression; Homoeostasis; Mechanistics; Metabolic function; Molecular changes; Morphological changes; Morphology changes; Multiscale modeling; Alzheimer Disease; Astrocytes; Brain; Modeling and Simulation; Molecular Biology; Cellular and Molecular Neuroscience; Computational Theory and Mathematics
Abstract :
[en] Astrocytes with their specialised morphology are essential for brain homeostasis as metabolic mediators between blood vessels and neurons. In neurodegenerative diseases such as Alzheimer's disease (AD), astrocytes adopt reactive profiles with molecular and morphological changes that could lead to the impairment of their metabolic support and impact disease progression. However, the underlying mechanisms of how the metabolic function of human astrocytes is impaired by their morphological changes in AD are still elusive. To address this challenge, we developed and applied a metabolic multiscale modelling approach integrating the dynamics of metabolic energy pathways and physiological astrocyte morphologies acquired in human AD and age-matched control brain samples. The results demonstrate that the complex cell shape and intracellular organisation of energetic pathways determine the metabolic profile and support capacity of astrocytes in health and AD conditions. Thus, our mechanistic approach indicates the importance of spatial orchestration in metabolism and allows for the identification of protective mechanisms against disease-associated metabolic impairments.
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
FARINA, Sofia ;  University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Engineering > Team Stéphane BORDAS
VOORSLUIJS, Valerie  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Integrative Cell Signalling
FIXEMER, Sonja  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine > Integrative Cell Signalling > Team Alexander SKUPIN ; Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg
BOUVIER, David  ;  University of Luxembourg ; Luxembourg Center of Neuropathology (LCNP), Dudelange, Luxembourg ; Laboratoire national de santé (LNS), National Center of Pathology (NCP), Dudelange, Luxembourg
Claus, Susanne;  Onera, Palaiseau, France
Ellisman, Mark H;  Department of Neurosciences, University of California San Diego, California, United States of America
BORDAS, Stéphane ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
SKUPIN, Alexander  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Integrative Cell Signalling ; Department of Neurosciences, University of California San Diego, California, United States of America
External co-authors :
yes
Language :
English
Title :
Mechanistic multiscale modelling of energy metabolism in human astrocytes reveals the impact of morphology changes in Alzheimer's Disease.
Publication date :
20 September 2023
Journal title :
PLoS Computational Biology
ISSN :
1553-734X
eISSN :
1553-7358
Publisher :
Public Library of Science, United States
Volume :
19
Issue :
9
Pages :
e1011464
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
Funders :
Luxembourg National Research Fund
Luxembourg National Research Found
NIH
NIH
Funding number :
PRIDE17/12252781/DRIVEN; PRIDE17/12244779/PARK-QC; 1U24NS120055-01; R24 GM137200
Funding text :
S Farina and S Fixemer were supported by the PRIDE program of the Luxembourg National Research Found through the grants PRIDE17/12252781/DRIVEN and PRIDE17/12244779/PARK-QC, respectively. ME obtained support through NIH NINDS (1U24NS120055-01) and NIGMS (R24 GM137200). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No author received direct salary from any funder.
Data Set :
The code and data associated with the simulations are available at the following repository

The code and data associated with the simulations are available at the following repository

Available on ORBilu :
since 23 December 2023

Statistics


Number of views
146 (2 by Unilu)
Number of downloads
90 (1 by Unilu)

Scopus citations®
 
4
Scopus citations®
without self-citations
2
OpenAlex citations
 
6

Bibliography


Similar publications



Contact ORBilu