ArticleFrontiers in cellular neuroscience2019
Altered Urinary Amino Acids in Children With Autism Spectrum Disorders.
Article in Frontiers in cellular neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Systematic Review and Bioinformatic Analysis of microRNA Expression in Autism Spectrum Disorder Identifies Pathways Associated With Cancer, Metabolism, Cell Signaling, and Cell Adhesion.Frontiers in psychiatry · 2021Pooled it
- Composition of Gut Microbiota in Children with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis.Nutrients · 2020Pooled it
- Article
- Metabolomic signatures of SSRI exposure during neural differentiation and correlation of lysophosphatidylcholines with early symptoms of neurodevelopmental disorders.EBioMedicine · 2026Article
- Newborn metabolomics linking prenatal air pollution exposure and autism spectrum disorder risk in children.Journal of exposure science & environmental epidemiology · 2026Article
- Article
- Selective Plasmatic Amino Acid Alterations as a Potential Biomarker for Pathological Stratification in Autism Spectrum Disorders.Biomedicines · 2026Article
- Urinary metabolomic profiling in 22q11.2 deletion syndrome reveals microbial and mitochondrial signatures related to autism and psychosis risk.PCN reports : psychiatry and clinical neurosciences · 2025Article
- Digestive Neurobiology in Autism: From Enteric and Central Nervous System Interactions to Shared Genetic Pathways.International journal of molecular sciences · 2025Review
- Urinary Metabolomic Profile in Children with Autism Spectrum Disorder.International journal of molecular sciences · 2025Article
- Comprehensive analysis of gut microbiota and fecal metabolites in patients with autism spectrum disorder.Frontiers in microbiology · 2025Article
- Dysregulated metabolic pathways associated with air pollution exposure and the risk of autism: Evidence from epidemiological studies.Environmental pollution (Barking, Essex : 1987) · 2024Review
- The Association of Neonatal Gut Microbiota Community State Types with Birth Weight.Children (Basel, Switzerland) · 2024Article
- Article
- Metabolomic changes in children with autism.World journal of clinical pediatrics · 2024Article
- A Clinical Study of Urine Amino Acids in Children with Autism Spectrum Disorder.Life (Basel, Switzerland) · 2024Article
- Article
- Review
- Untargeted urine metabolomics and machine learning provide potential metabolic signatures in children with autism spectrum disorder.Frontiers in psychiatry · 2024Article
- Metabolomics: Perspectives on Clinical Employment in Autism Spectrum Disorder.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 [
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.