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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 / Daniel KRSI?KA in Autism Research, 10-8 (August 2017)
[article]
Titre : 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 Type de document : Texte imprimé et/ou numérique Auteurs : Daniel KRSI?KA, Auteur ; Jan GERYK, Auteur ; Markéta VL?KOVÁ, Auteur ; Marketa HAVLOVICOVA, Auteur ; Milan MACEK, Auteur ; Radka POUROVÁ, Auteur Article en page(s) : p.1424-1435 Langues : Anglais (eng) Mots-clés : autism spectrum disorders cerebral folate deficiency knowledge databases folate genetic variation interaction modeling metabolic pathways Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1002/aur.1780 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=310
in Autism Research > 10-8 (August 2017) . - p.1424-1435[article] 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 [Texte imprimé et/ou numérique] / Daniel KRSI?KA, Auteur ; Jan GERYK, Auteur ; Markéta VL?KOVÁ, Auteur ; Marketa HAVLOVICOVA, Auteur ; Milan MACEK, Auteur ; Radka POUROVÁ, Auteur . - p.1424-1435.
Langues : Anglais (eng)
in Autism Research > 10-8 (August 2017) . - p.1424-1435
Mots-clés : autism spectrum disorders cerebral folate deficiency knowledge databases folate genetic variation interaction modeling metabolic pathways Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1002/aur.1780 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=310 Depicting the composition of gut microbiota in children with tic disorders: an exploratory study / W. XI in Journal of Child Psychology and Psychiatry, 62-10 (October 2021)
[article]
Titre : Depicting the composition of gut microbiota in children with tic disorders: an exploratory study Type de document : Texte imprimé et/ou numérique Auteurs : W. XI, Auteur ; X. GAO, Auteur ; H. ZHAO, Auteur ; X. LUO, Auteur ; J. LI, Auteur ; X. TAN, Auteur ; L. WANG, Auteur ; J. B. ZHAO, Auteur ; J. WANG, Auteur ; G. YANG, Auteur ; L. Y. LIU, Auteur ; Y. Y. WANG, Auteur ; L. PENG, Auteur ; L. P. ZOU, Auteur ; Y. YANG, Auteur Article en page(s) : p.1246-1254 Langues : Anglais (eng) Mots-clés : Bacteroides Child Gastrointestinal Microbiome Humans Prevotella Ruminococcus Streptococcus Tic Disorders dopamine receptor antagonists gut microbiota metabolic pathways metagenomics Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptom improvement in children with tic disorder (TD) following fecal microbiota transplantation led us to investigate the gut microbiota in TD. This exploratory study aims to depict the gut microbial profile in patients with TD and explore the impact of dopamine receptor antagonist (DRA) drugs on the composition and metabolic function of the gut microbiota. METHODS: The gut microbiota were profiled in fecal samples of 49 children with TD and 50 matched healthy controls (HC) using shotgun metagenomic sequencing. A random forest (RF) model was constructed using the gut bacterial species to distinguish TD from HC. Associations between clinical metadata and microbial abundance or function were analyzed using MaAsLin2 and Spearman correlation. RESULTS: The gut microbiota in children with TD was featured by higher abundances of Bacteroides plebeius and Ruminococcus lactaris (a potential pro-inflammatory taxon) and lower abundances of Prevotella stercorea and Streptococcus lutetiensis compared to HC. The constructed RF model accurately distinguished TD from HC based on the gut microbiota profile, resulting in an AUC of 0.884. Significant correlations were observed between tic symptom severity and the abundances of multiple bacterial species and gut microbiota metabolic functions. Multivariate analysis identified an upregulation of 4-aminobutanoate (GABA) degradation in the gut microbiota associated with TD status. The gut microbiota of DRA-treated TD children showed a distinct gut microbiota compared to the treatment-naïve group, represented by an increase in some potential enteric pathogens such as Escherichia coli, a decline in several species including Akkermansia muciniphila, and alterations in various metabolic functions. CONCLUSIONS: Bacterial species promoting inflammatory responses and those modulating neurotransmitters such as GABA may be involved in the pathogenesis of TD. The use of DRA drugs is likely to induce overgrowth of some enteric pathogens and alter the gut microbiota metabolism. En ligne : http://dx.doi.org/10.1111/jcpp.13409 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 62-10 (October 2021) . - p.1246-1254[article] Depicting the composition of gut microbiota in children with tic disorders: an exploratory study [Texte imprimé et/ou numérique] / W. XI, Auteur ; X. GAO, Auteur ; H. ZHAO, Auteur ; X. LUO, Auteur ; J. LI, Auteur ; X. TAN, Auteur ; L. WANG, Auteur ; J. B. ZHAO, Auteur ; J. WANG, Auteur ; G. YANG, Auteur ; L. Y. LIU, Auteur ; Y. Y. WANG, Auteur ; L. PENG, Auteur ; L. P. ZOU, Auteur ; Y. YANG, Auteur . - p.1246-1254.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-10 (October 2021) . - p.1246-1254
Mots-clés : Bacteroides Child Gastrointestinal Microbiome Humans Prevotella Ruminococcus Streptococcus Tic Disorders dopamine receptor antagonists gut microbiota metabolic pathways metagenomics Index. décimale : PER Périodiques Résumé : BACKGROUND: Symptom improvement in children with tic disorder (TD) following fecal microbiota transplantation led us to investigate the gut microbiota in TD. This exploratory study aims to depict the gut microbial profile in patients with TD and explore the impact of dopamine receptor antagonist (DRA) drugs on the composition and metabolic function of the gut microbiota. METHODS: The gut microbiota were profiled in fecal samples of 49 children with TD and 50 matched healthy controls (HC) using shotgun metagenomic sequencing. A random forest (RF) model was constructed using the gut bacterial species to distinguish TD from HC. Associations between clinical metadata and microbial abundance or function were analyzed using MaAsLin2 and Spearman correlation. RESULTS: The gut microbiota in children with TD was featured by higher abundances of Bacteroides plebeius and Ruminococcus lactaris (a potential pro-inflammatory taxon) and lower abundances of Prevotella stercorea and Streptococcus lutetiensis compared to HC. The constructed RF model accurately distinguished TD from HC based on the gut microbiota profile, resulting in an AUC of 0.884. Significant correlations were observed between tic symptom severity and the abundances of multiple bacterial species and gut microbiota metabolic functions. Multivariate analysis identified an upregulation of 4-aminobutanoate (GABA) degradation in the gut microbiota associated with TD status. The gut microbiota of DRA-treated TD children showed a distinct gut microbiota compared to the treatment-naïve group, represented by an increase in some potential enteric pathogens such as Escherichia coli, a decline in several species including Akkermansia muciniphila, and alterations in various metabolic functions. CONCLUSIONS: Bacterial species promoting inflammatory responses and those modulating neurotransmitters such as GABA may be involved in the pathogenesis of TD. The use of DRA drugs is likely to induce overgrowth of some enteric pathogens and alter the gut microbiota metabolism. En ligne : http://dx.doi.org/10.1111/jcpp.13409 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456