Urinary metabolic phenotyping differentiates children with autism from their unaffected siblings and age-matched

Ivan K S Yap1, Manya Angley, Kirill A Veselkov

  • 1Biomolecular Medicine, Division of Surgery and Cancer, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington Campus, London, United Kingdom.

Insights

Autism is linked to altered metabolism, with unique urinary profiles in children. These findings reveal changes in nicotinic acid, amino acid, and gut microbial metabolite pathways, offering potential for monitoring interventions.

Area of Science:

  • Biochemistry
  • Metabolomics
  • Developmental Neuroscience

Background:

  • Autism Spectrum Disorder (ASD) is a neurodevelopmental condition impacting social behavior, often accompanied by metabolic abnormalities.
  • Previous research suggests metabolic dysregulation may play a role in ASD pathogenesis and presentation.

Purpose of the Study:

  • To characterize urinary metabolic phenotypes in children with autism compared to siblings and healthy controls.
  • To identify novel metabolic biomarkers associated with autism.

Main Methods:

  • Utilized proton nuclear magnetic resonance ((1)H NMR) spectroscopy and pattern recognition techniques.
  • Analyzed urinary samples from autistic children (n=39), their nonautistic siblings (n=28), and age-matched healthy controls (n=34).
  • Performed multivariate statistical analysis to compare metabolic profiles between groups.

Main Results:

  • Identified increased urinary excretion of N-methyl-2-pyridone-5-carboxamide, N-methyl nicotinic acid, and N-methyl nicotinamide, indicating altered tryptophan-nicotinic acid metabolism.
  • Observed significant differences in urinary glutamate and taurine levels, with autistic children showing lower glutamate and higher taurine, suggesting sulfur and amino acid metabolism perturbations.
  • Detected distinct metabolic phenotype (metabotype) differences linked to mammalian-microbial cometabolites, including dimethylamine, hippurate, and phenyacetylglutamine.

Conclusions:

  • Autism is associated with significant perturbations in nicotinic acid, amino acid, and gut microbial metabolite pathways.
  • These urinary metabolic differences may reflect gut microbiota dysbiosis and gastrointestinal dysfunction in autistic individuals.
  • The identified metabolic signatures could serve as potential biomarkers for monitoring therapeutic interventions in autism.

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