ArticleFrontiers in psychiatry2022
Urinary Metabolomic Study in a Healthy Children Population and Metabolic Biomarker Discovery of Attention-Deficit/Hyperactivity Disorder (ADHD).
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Metabolomic Markers in Attention-Deficit/Hyperactivity Disorder (ADHD) among Children and Adolescents-A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Targeted and Untargeted Urinary Metabolomic Analyses of Organophosphate Pesticides Exposure and Attention-Deficit/Hyperactivity Disorder in Children.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Untargeted metabolomics reveals distinct metabolic profiles in MUT-type methylmalonic acidemia.Molecular and cellular pediatrics · 2026Article
- A comprehensive overview of the biological foundations of ADHD.Bioscience reports · 2026Review
- Mass Spectrometry-Based Metabolomics in Pediatric Health and Disease.Metabolites · 2026Review
- Urinary Metabolic Biomarkers of Attentional Control in Children With Attention-Deficit/Hyperactivity Disorder: A Dimensional Approach ThroughNMR in biomedicine · 2025Article
- Metabolomics analysis of children with spastic cerebral palsy: a case-control study.BMC pediatrics · 2025Article
- Identifying novel metabolites in children with attention-deficit hyperactivity disorder through metabolome profiling.Translational psychiatry · 2025Article
- Impact of prenatal phthalate exposure on newborn metabolome and infant neurodevelopment.Nature communications · 2025Article
- Metabolomic Insights into Attention Deficit Hyperactivity Disorder: A Scoping Review.Metabolites · 2025Review
- Article
- The early-life gut microbiome in common pediatric diseases: roles and therapeutic implications.Frontiers in nutrition · 2025Review
- A new type of sulfation reaction:PNAS nexus · 2024Article
- Translational bioinformatics and data science for biomarker discovery in mental health: an analytical review.Briefings in bioinformatics · 2024Review
- Exogenous ketone bodies and the ketogenic diet as a treatment option for neurodevelopmental disorders.Frontiers in nutrition · 2024Review
- Precision pharmacotherapy of atomoxetine in children with ADHD: how to ensure the right dose for the right person?Frontiers in pharmacology · 2024Review
- Alterations in the Glycan Composition of Serum Glycoproteins in Attention-Deficit Hyperactivity Disorder.International journal of molecular sciences · 2023Article
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Knowledge of the urinary metabolomic profiles of healthy children and adolescents plays a promising role in the field of pediatrics. Metabolomics has also been used to diagnose disease, discover novel biomarkers, and elucidate pathophysiological pathways. Attention-deficit/hyperactivity disorder (ADHD) is one of the most common psychiatric disorders in childhood. However, large-sample urinary metabolomic studies in children with ADHD are relatively rare. In this study, we aimed to identify specific biomarkers for ADHD diagnosis in children and adolescents by urinary metabolomic profiling. Methods: We explored the urine metabolome in 363 healthy children aged 1-18 years and 76 patients with ADHD using high-resolution mass spectrometry. Results: Metabolic pathways, such as arachidonic acid metabolism, steroid hormone biosynthesis, and catecholamine biosynthesis, were found to be related to sex and age in healthy children. The urinary metabolites displaying the largest differences between patients with ADHD and healthy controls belonged to the tyrosine, leucine, and fatty acid metabolic pathways. A metabolite panel consisting of FAPy-adenine, 3-methylazelaic acid, and phenylacetylglutamine was discovered to have good predictive ability for ADHD, with a receiver operating characteristic area under the curve (ROC-AUC) of 0.918. A panel of FAPy-adenine, N-acetylaspartylglutamic acid, dopamine 4-sulfate, aminocaproic acid, and asparaginyl-leucine was used to establish a robust model for ADHD comorbid tic disorders and controls with an AUC of 0.918.
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