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Review of Current Human Genome-Scale Metabolic Models for Brain Cancer and Neurodegenerative Diseases

Authors :
Ali Kishk
Maria Pires Pacheco
Tony Heurtaux
Lasse Sinkkonen
Jun Pang
Sabrina Fritah
Simone P. Niclou
Thomas Sauter
Source :
Cells, Vol 11, Iss 16, p 2486 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Brain disorders represent 32% of the global disease burden, with 169 million Europeans affected. Constraint-based metabolic modelling and other approaches have been applied to predict new treatments for these and other diseases. Many recent studies focused on enhancing, among others, drug predictions by generating generic metabolic models of brain cells and on the contextualisation of the genome-scale metabolic models with expression data. Experimental flux rates were primarily used to constrain or validate the model inputs. Bi-cellular models were reconstructed to study the interaction between different cell types. This review highlights the evolution of genome-scale models for neurodegenerative diseases and glioma. We discuss the advantages and drawbacks of each approach and propose improvements, such as building bi-cellular models, tailoring the biomass formulations for glioma and refinement of the cerebrospinal fluid composition.

Details

Language :
English
ISSN :
20734409
Volume :
11
Issue :
16
Database :
Directory of Open Access Journals
Journal :
Cells
Publication Type :
Academic Journal
Accession number :
edsdoj.832935e117749fea6cbbd17e92b7f65
Document Type :
article
Full Text :
https://doi.org/10.3390/cells11162486