ArticleTranslational psychiatry2019
Dynamical properties of elemental metabolism distinguish attention deficit hyperactivity disorder from autism spectrum disorder.
Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study.medRxiv : the preprint server for health sciences · 2025Article
- Vitamin Interventions in ASD and ADHD: Systematic Review and Meta-Analysis.Neuropsychiatric disease and treatment · 2025Review
- Water, Soil, Noise, and Light Pollution: JACC Focus Seminar, Part 2.Journal of the American College of Cardiology · 2024Review
- Screening autism-associated environmental factors in differentiating human neural progenitors with fractional factorial design-based transcriptomics.Scientific reports · 2023Article
- Associations between Elemental Metabolic Dynamics and Default Mode Network Functional Connectivity Are Altered in Autism.Journal of clinical medicine · 2023Article
- Elemental Dynamics in Hair Accurately Predict Future Autism Spectrum Disorder Diagnosis: An International Multi-Center Study.Journal of clinical medicine · 2022Article
- Altered Periodic Dynamics in the Default Mode Network in Autism and Attention-Deficit/Hyperactivity Disorder.Biological psychiatry · 2022Article
- Association Between Measures Derived From Children's Primary Exfoliated Teeth and Psychopathology Symptoms: Results From a Community-Based Study.Frontiers in dental medicine · 2022Article
- Network Dynamics in Elemental Assimilation and Metabolism.Entropy (Basel, Switzerland) · 2021Article
- Increased iron content in the heart of the Fmr1 knockout mouse.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2021Article
- Metallomics Analysis for Assessment of Toxic Metal Burdens in Infants/Children and Their Mothers: Early Assessment and Intervention Are Essential.Biomolecules · 2020Article
- Disturbances in primary dental enamel in Polish autistic children.Scientific reports · 2020Article
- Dysregulated biodynamics in metabolic attractor systems precede the emergence of amyotrophic lateral sclerosis.PLoS computational biology · 2020Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are neurodevelopmental conditions of overlapping etiologies and phenotypes. For ASD, we recently reported altered elemental metabolic patterns in the form of short and irregular zinc and copper cycles. Here, we extend the application of these biomarkers of prenatal and early postnatal elemental metabolism to distinguish between individuals diagnosed with ADHD and/or ASD and neurotypical controls. We recruited twins discordant for ADHD, ASD and other neurodevelopmental diagnoses from national twin studies in Sweden (N = 74) diagnosed according to DSM-5 clinical consensus and standardized psychiatric instruments. Detailed temporal profiles of exposure to 10 metals over the prenatal and early childhood periods were measured using tooth biomarkers. We used recurrence quantification analysis (RQA) to characterize properties of cyclical metabolic patterns of these metals. Regularity (determinism) and complexity (entropy) of elemental cycles was consistently reduced in ADHD for cobalt, lead, and vanadium (determinism: cobalt, β = -0.03, P = 0.017; lead, β = -0.03, P = 0.016; and vanadium, β = -0.03, P = 0.01. Entropy: cobalt, β = -0.13, P = 0.017; lead, β = -0.18, P = 0.016; and vanadium, β = -0.15, P = 0.008). Further, we found elemental pathways and dynamical features specific to ADHD vs ASD, and unique characteristics associated with ADHD/ASD combined presentation. Dysregulation of cyclical processes in elemental metabolism during prenatal and early postnatal development not only encompasses pathways shared by ADHD and ASD, but also comprise features specific to either condition.
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