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Altered Urinary Amino Acids in Children With Autism Spectrum Disorders.

ABSTRACT: Autism spectrum disorders (ASD) affect 1% of children. Although there is no cure, early diagnosis and behavioral intervention can relieve the symptoms. The clinical heterogeneity of ASD has created a need for improved sensitive and specific laboratory diagnostic methods. Liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based analysis of the metabolome has shown great potential to uncover biomarkers for complex diseases such as ASD. Here, we used a two-step discovery-validation approach to identify potential novel metabolic biomarkers for ASD. Urine samples from 57 children with ASD and 81 matched children with typical development (TD) were analyzed by LS-MS/MS to assess differences in urinary amino acids and their metabolites (referred to as UAA indicators). A total of 63 UAA indicators were identified, of which 21 were present at significantly different levels in the urine of ASD children compared with TD children. Of these 21, the concentrations of 19 and 10 were higher and lower, respectively, in the urine of ASD children compared with TD children. Using support vector machine modeling and receiver operating characteristic curve analysis, we identified a panel of 7 UAA indicators that discriminated between the samples from ASD and TD children (lysine, 2-aminoisobutyric acid, 5-hydroxytryptamine, proline, aspartate, arginine/ornithine, and 4-hydroxyproline). Among the significantly changed pathways in ASD children were the ornithine/urea cycle (decreased levels of the excitatory amino acid aspartate [p = 2.15 × 10-10] and increased arginine/ornithine [p = 5.21 × 10-9]), tryptophan metabolism (increased levels of inhibitory 5-hydroxytryptamine p = 3.62 × 10-9), the methionine cycle (increased methionine sulfoxide [p = 1.46 × 10-10] and decreased homocysteine [p = 2.73 × 10-7]), and lysine metabolism (reduced lysine [p = 7.8 × 10-9], ?-aminoadipic acid [p = 1.16 × 10-9], and 5-aminovaleric acid [p = 1.05 × 10-5]). Collectively, the data presented here identify a possible imbalance between excitatory and inhibitory amino acid metabolism in ASD children. The significantly altered UAA indicators could therefore be potential diagnostic biomarkers for ASD.

SUBMITTER: Liu A

PROVIDER: S-EPMC6354128 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Altered Urinary Amino Acids in Children With Autism Spectrum Disorders.

Liu Aiping A Zhou Wei W Qu Liuhong L He Fusheng F Wang Hui H Wang Yan Y Cai Chunquan C Li Xiaoge X Zhou Wenhao W Wang Mingbang M

Frontiers in cellular neuroscience 20190125

Autism spectrum disorders (ASD) affect 1% of children. Although there is no cure, early diagnosis and behavioral intervention can relieve the symptoms. The clinical heterogeneity of ASD has created a need for improved sensitive and specific laboratory diagnostic methods. Liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based analysis of the metabolome has shown great potential to uncover biomarkers for complex diseases such as ASD. Here, we used a two-step discovery-validation approach ...[more]

PMID: 30733669

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Project description:Flourishing is an indicator of positive mental health and is important for children's development and well-being. We used variables from the National Survey of Children's Health 2016 as indicators of flourishing (difficulty making friends, is bullied, bullies others, shares ideas with family, argues, finishes tasks, does all homework, shows curiosity, stays calm, and cares about doing well in school) to compare differences in parent perceptions of their children with and without autism spectrum disorder (ASD). We anticipate that these findings will help identify intervention targets to support the well-being of individuals with ASD. Children between 6 and 17 years of age, without intellectual disability, brain injury, cerebral palsy, or Down syndrome were included. Total participants were 34,171 controls (male/female = 17,116/17,155) and 812 with ASD (male/female = 668/144). Factor analysis resulted in three-factor structures (social competence, behavioral control, and school motivation) with good model fit (root mean square error of approximation = 0.08, comparative fit index = 0.92, Tucker-Lewis index = 0.89). The multivariate regression model and propensity score with inverse probability of treatment weighting (PS-IPTW) method revealed that children with ASD had lower scores in the social competence and behavioral control factors compared to the control group (all P < 0.05). However, no significant differences were found in the school motivation factor between the two groups (P > 0.05) in both multivariate regression model and PS-IPTW method. Findings suggest that social competence and behavioral control are indicators of flourishing and are important intervention targets to increase flourishing among children with ASD. Autism Res 2019, 12: 952-966. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Flourishing is an indicator of positive mental health and is important for children's development and well-being. We used variables from The National Survey of Children's Health 2016 to examine differences in parent perceptions of the indicators of flourishing (difficulty making friends, is bullied, bullies others, shares ideas with family, argues, finishes tasks, does all homework, shows curiosity, stays calm, and cares about doing well in school) between children with and without autism spectrum disorders (ASD). We anticipate that this information will help to identify therapeutic targets to support the well-being of individuals with ASD. Children between 6 and 17 years old, without intellectual disability (ID), brain injury (BI), cerebral palsy (CP), or Down syndrome (DS) were included. From the total (N = 50,212), we excluded children under age 6 (n = 14,494), those who once, but do not currently have ASD (n = 81), and those with ID (n = 432), BI (n = 170), CP (n = 35), and DS (n = 17), resulting in 34,983 records used. Total participants, age 6-17 years, were 34,171 controls (male/female = 17,116/17,155) and 812 with ASD (male/female = 668/144). Factor analysis resulted in the identification of three flourishing categories among the indicator variables (social competence, behavioral control, and school motivation). Children with ASD had lower scores in the social competence and behavioral control factors compared to the control group. However, there were no significant differences in the school motivation factor between the two groups. Findings suggest that social competence and behavioral control are indicators of flourishing and are important intervention targets to increase flourishing among children with ASD.

Project description:BackgroundAutism spectrum disorder (ASD) is a type of neurodevelopmental disease that is frequently accompanied by sleep disorder. Herein, we investigated changes in the gut microbiota and its metabolites correlated with core symptoms and sleep problems in children with ASD.MethodsOne hundred and twenty children diagnosed with ASD based on Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria were enrolled in our study. The Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), and Childhood Autism Rating Scale (CARS) were used to assess autism symptoms, and the Children Sleep Habits Questionnaire (CSHQ) was employed to evaluate sleep problems in children with ASD. The 120 children were divided into a sleep disorder group (n = 60) and a control group without sleep disorder (n = 60) according to the CSHQ answers. Illumina MiSeq analysis of 16S rRNA genes was used to compare differences in gut microbiota, and metabolomics analysis was employed to asses associated metabolites.ResultsSRS and CARS scores for the sleep disorder group were significantly higher than for the control group (p < 0.05). The abundances of butyrate-producing bacteria Faecalibacterium and Agathobacter were reduced significantly in the sleep disorder group (p < 0.05), and this was negatively correlated with CSHQ score (p = 0.007 and p = 0.014, respectively). The abundance of Agathobacter was also negatively associated with the ABC language score (p = 0.044). Furthermore, levels of 3-hydroxybutyric acid and melatonin were significantly lower (p < 0.05) while serotonin levels were higher (p < 0.05) in the sleep disorder group. The 3-hydroxybutyric acid level was positively associated with Faecalibacterium abundance (p = 0.000), and melatonin was positively associated with the abundance of Faecalibacterium (p = 0.036) and Agathobacter (p = 0.041). We also observed negative correlations between 3-hydroxybutyric acid and CSHQ (p = 0.000) and CARS (p = 0.009), between melatonin and CSHQ (p = 0.002) and ABC sensory score (p = 0.021), and a positive correlation between serotonin and CSHQ (p = 0.002) and ABC sensory score (p = 0.025).ConclusionsASD children with sleep disorder exhibited declines in the abundance of Faecalibacterium and Agathobacter, decreased levels of 3-hydroxybutyric acid and melatonin, and an increase in serotonin. These changes may aggravate sleep problems and core symptoms in children with ASD.

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Altered Urinary Amino Acids in Children With Autism Spectrum Disorders.

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Altered Urinary Amino Acids in Children With Autism Spectrum Disorders.

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