Title :

Disruption of tca cycle and glutamate metabolism identified by metabolomics in an in vitro model of amyotrophic lateral sclerosis

Author(s) :

Veyrat-Durebex, Charlotte [Auteur]
Corcia, Philippe [Auteur]
Piver, Eric [Auteur]
DEVOS, DAVID [Auteur]
Troubles cognitifs dégénératifs et vasculaires - U1171
Troubles cognitifs dégénératifs et vasculaires - U 1171 [TCDV]
Troubles cognitifs dégénératifs et vasculaires - U 1171 [TCDV]
Dangoumau, Audrey [Auteur]
Gouel, Flore [Auteur]
Vourc'h, Patrick [Auteur]
Emond, Patrick [Auteur]
Laumonnier, Frederic [Auteur]
Nadal-Desbarats, Lydie [Auteur]
Gordon, Paul H. [Auteur]
Andres, Christian R. [Auteur]
Blasco, Helene [Auteur]

Journal title :

Molecular neurobiology

Abbreviated title :

Mol. Neurobiol.

Volume number :

53

Pages :

6910-6924

Publication date :

2016-12-01

ISSN :

0893-7648

English keyword(s) :

Metabolomics
Oxidative stress
Co-culture
Astrocytes
GC-MS
Motor neurons

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

This study aims to develop a cellular metabolomics model that reproduces the pathophysiological conditions found in amyotrophic lateral sclerosis in order to improve knowledge of disease physiology. We used a co-culture ...
Show more >This study aims to develop a cellular metabolomics model that reproduces the pathophysiological conditions found in amyotrophic lateral sclerosis in order to improve knowledge of disease physiology. We used a co-culture model combining the motor neuron-like cell line NSC-34 and the astrocyte clone C8-D1A, with each over-expressing wild-type or G93C mutant human SOD1, to examine amyotrophic lateral sclerosis (ALS) physiology. We focused on the effects of mutant human SOD1 as well as oxidative stress induced by menadione on intracellular metabolism using a metabolomics approach through gas chromatography coupled with mass spectrometry (GC-MS) analysis. Preliminary non-supervised analysis by Principal Component Analysis (PCA) revealed that cell type, genetic environment, and time of culture influenced the metabolomics profiles. Supervised analysis using orthogonal partial least squares discriminant analysis (OPLS-DA) on data from intracellular metabolomics profiles of SOD1G93CShow less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CHU Lille
CNRS
Inserm
Université de Lille

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172

Research team(s) :

Troubles cognitifs dégénératifs et vasculaires

Submission date :

2019-11-27T13:38:12Z