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Publication Detail

Title: Metabolomics analysis of children with autism, idiopathic-developmental delays, and Down syndrome.

Authors: Orozco, Jennie Sotelo; Hertz-Picciotto, Irva; Abbeduto, Leonard; Slupsky, Carolyn M

Published In Transl Psychiatry, (2019 10 03)

Abstract: Although developmental delays affect learning, language, and behavior, some evidence suggests the presence of disturbances in metabolism are associated with psychiatric disorders. Here, the plasma metabolic phenotype of children with autism spectrum disorder (ASD, n = 167), idiopathic-developmental delay (i-DD, n = 51), and Down syndrome (DS, n = 31), as compared to typically developed (TD, n = 193) controls was investigated in a subset of children from the case-control Childhood Autism Risk from Genetics and the Environment (CHARGE) Study. Metabolome profiles were obtained using nuclear magnetic resonance spectroscopy and analyzed in an untargeted manner. Forty-nine metabolites were identified and quantified in each sample that included amino acids, organic acids, sugars, and other compounds. Multiple linear regression analysis revealed significant associations between 11 plasma metabolites and neurodevelopmental outcome. Despite the varied origins of these developmental disabilities, we observed similar perturbation in one-carbon metabolism pathways among DS and ASD cases. Similarities were also observed in the DS and i-DD cases in the energy-related tricarboxylic acid cycle. Other metabolites and pathways were uniquely associated with DS or ASD. By comparing metabolic signatures between these conditions, the current study expands on extant literature demonstrating metabolic alterations associated with developmental disabilities and provides a better understanding of overlapping vs specific biological perturbations associated with these disorders.

PubMed ID: 31582732 Exiting the NIEHS site

MeSH Terms: Autism Spectrum Disorder/genetics*; California; Case-Control Studies; Child, Preschool; Developmental Disabilities/genetics*; Down Syndrome/genetics*; Female; Humans; Linear Models; Magnetic Resonance Spectroscopy; Male; Metabolome*; Metabolomics

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