{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["14"],"submitter":["Vernocchi P"],"pubmed_abstract":["<h4>Background</h4>Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental disorder. Major interplays between the gastrointestinal (GI) tract and the central nervous system (CNS) seem to be driven by gut microbiota (GM). Herein, we provide a GM functional characterization, based on GM metabolomics, mapping of bacterial biochemical pathways, and anamnestic, clinical, and nutritional patient metadata.<h4>Methods</h4>Fecal samples collected from children with ASD and neurotypical children were analyzed by gas-chromatography mass spectrometry coupled with solid phase microextraction (GC-MS/SPME) to determine volatile organic compounds (VOCs) associated with the metataxonomic approach by 16S rRNA gene sequencing. Multivariate and univariate statistical analyses assessed differenti"],"journal":["Frontiers in microbiology"],"pagination":["1287350"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10773764"],"repository":["biostudies-literature"],"pubmed_title":["Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors."],"pmcid":["PMC10773764"],"pubmed_authors":["Putignani L","Ianiro G","Marangelo C","Vicari S","Gasbarrini A","Conte F","Del Chierico F","Guarrasi V","Gardini S","Vernocchi P","Paci P","Guerrera S"],"additional_accession":[]},"is_claimable":false,"name":"Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.","description":"<h4>Background</h4>Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental disorder. Major interplays between the gastrointestinal (GI) tract and the central nervous system (CNS) seem to be driven by gut microbiota (GM). Herein, we provide a GM functional characterization, based on GM metabolomics, mapping of bacterial biochemical pathways, and anamnestic, clinical, and nutritional patient metadata.<h4>Methods</h4>Fecal samples collected from children with ASD and neurotypical children were analyzed by gas-chromatography mass spectrometry coupled with solid phase microextraction (GC-MS/SPME) to determine volatile organic compounds (VOCs) associated with the metataxonomic approach by 16S rRNA gene sequencing. Multivariate and univariate statistical analyses assessed differenti","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023","modification":"2026-07-15T04:49:04.335Z","creation":"2024-11-15T23:18:32.74Z"},"accession":"S-EPMC10773764","cross_references":{"pubmed":["38192296"],"doi":["10.3389/fmicb.2023.1287350"]}}