Aperçu: G.M.
Récemment,
le déficit en folate cérébral (CFD) a été suggéré d'être impliqué dans
la pathogenèse des troubles du spectre de l'autisme (TSA). Cependant,
le rôle exact du métabolisme des folates dans la pathogenèse des TSA,
l'identification des mécanismes pathogènes sous-jacents et des voies
métaboliques altérées restent inexpliqués. Le but de l'étude était
d'identifier les liens entre les TSA et le métabolisme cérébral
perturbé en mettant l'accent sur le métabolismae anormal du folate.
La stratégie
de modélisation utilisée a identifié des interactions déjà connues
soutenues par des analyses fondées sur des preuves, mais
aussi de nouvelles interactions plausibles qui pourraient être validées
dans des études fonctionnelles et / ou cliniques ultérieures
Autism Res. 2017 Mar 24. doi: 10.1002/aur.1780.
Identification of likely associations between cerebral folate deficiency and complex genetic- and metabolic pathogenesis of autism spectrum disorders by utilization of a pilot interaction modeling approach
Krsička D1, Geryk J1, Vlčková M1, Havlovicová M1, Macek M Jr1, Pourová R1.
Author information
- 1
- Department of Biology and Medical Genetics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, V Úvalu 84, 150 06 Prague, Czech Republic.
Abstract
Recently, cerebral folate deficiency (CFD) was suggested to be involved in the pathogenesis of autism
spectrum disorders (ASD). However, the exact role of folate metabolism
in the pathogenesis of ASD, identification of underlying pathogenic
mechanisms and impaired metabolic pathways remain unexplained. The aim
of our study was to develop and test a novel, unbiased, bioinformatics
approach in order to identify links between ASD and disturbed cerebral
metabolism by focusing on abnormal folate metabolism, which could foster
patient stratification and novel therapeutic interventions. An
unbiased, automatable, computational workflow interaction model was
developed using available data from public databases. The interaction
network model of ASD-associated genes with known cerebral expression and
function (SFARI) and metabolic networks (MetScape), including
connections to known metabolic substrates, metabolites and cofactors
involving folates, was established. Intersection of bioinformatically
created networks resulted in a limited amount of interaction modules
pointing to common disturbed metabolic pathways, linking ASD to CFD. Two
independent interaction modules (comprising three pathways) covering
enzymes encoded by ASD-related genes and folate cofactors utilizing
enzymes were generated. Module 1 suggested possible interference of CFD
with serine and lysine metabolism, while module 2 identified
correlations with purine metabolism and inosine monophosphate
production. Since our approach was primarily conceived as a proof of
principle, further amendments of the presented initial model are
necessary to obtain additional actionable outcomes. Our modelling
strategy identified not only previously known interactions supported by
evidence-based analyses, but also novel plausible interactions, which
could be validated in subsequent functional and/or clinical studies. Autism Res 2017. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
© 2017 International Society for Autism Research, Wiley Periodicals, Inc.
- PMID: 28339176
- DOI: 10.1002/aur.1780
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