Abstract
Neurodevelopmental disorders (NDD) are characterized by impairments in brain development that affect motor and cognitive systems. Early identification of NDD risk factors is crucial for prevention. Metabolomic profiling holds promise for early detection but remains underexplored in longitudinal studies. Here, we map the longitudinal metabolomic profiles in 3212 samples covering 683 metabolites from 581 mother-child pairs at six timepoints in the Danish COPSAC2010 cohort to assess childhood NDD risk over a 10-years follow-up period. Cross-validated sPLS models identify metabolic biomarkers and patterns associated with NDD, with maternal gestational week 24 metabolic profile showing the best prediction. Metabolite trajectories prior 18-month of age are linked to NDD risk...
Abstract
Neurodevelopmental disorders (NDD) are characterized by impairments in brain development that affect motor and cognitive systems. Early identification of NDD risk factors is crucial for prevention. Metabolomic profiling holds promise for early detection but remains underexplored in longitudinal studies. Here, we map the longitudinal metabolomic profiles in 3212 samples covering 683 metabolites from 581 mother-child pairs at six timepoints in the Danish COPSAC2010 cohort to assess childhood NDD risk over a 10-years follow-up period. Cross-validated sPLS models identify metabolic biomarkers and patterns associated with NDD, with maternal gestational week 24 metabolic profile showing the best prediction. Metabolite trajectories prior 18-month of age are linked to NDD risk. Quinolinate is consistently associated with NDD across timepoints and mediated the effect of maternal inflammation on NDD. In the single metabolite analysis, no metabolites remained significant after multiple testing correction. In this work, we provide valuable insights into the role of the longitudinal metabolome in neurodevelopment.
Data availability
Source data are provided with this paper. Participant-level personally identifiable data are protected under the Danish data protection act and European Regulation 2016/679 of the European Parliament and of the Council (GDPR) that prohibit distribution even in pseudo-anonymized form. However, participant-level data can be made available under a data transfer agreement as part of a collaboration effort with COPSAC (chawes@copsac.com). Source data are provided with this paper.
Code availability
The custom code employed in this research is freely accessible to the public for transparency and reproducibility purposes. Related codes can be found at https:// github already.https://github.com/tiwa1125/Longitudinal_metabolome and Zenodo (https://doi.org/10.5281/zenodo.17340755).
References
Thapar, A., Cooper, M. & Rutter, M. Neurodevelopmental disorders. Lancet Psychiatry 4, 339–346 (2017).
Parenti, I., Rabaneda, L. G., Schoen, H. & Novarino, G. Neurodevelopmental disorders: from genetics to functional pathways. Trends Neurosci. 43, 608–621 (2020).
Verhoef, E. et al. Discordant associations of educational attainment with ASD and ADHD implicate a polygenic form of pleiotropy. Nat. Commun. 12, 6534 (2021).
Antshel, K. M., Zhang-James, Y., Wagner, K. E., Ledesma, A. & Faraone, S. V. An update on the comorbidity of ADHD and ASD: a focus on clinical management. Expert Rev. Neurother. 16, 279–293 (2016).
Bale, T. L. et al. Early life programming and neurodevelopmental disorders. Biol. Psychiatry 68, 314–319 (2010).
Sayal, K., Prasad, V., Daley, D., Ford, T. & Coghill, D. ADHD in children and young people: prevalence, care pathways, and service provision. Lancet Psychiatry 5, 175–186 (2018).
Tick, B., Bolton, P., Happé, F., Rutter, M. & Rijsdijk, F. Heritability of autism spectrum disorders: a meta-analysis of twin studies. J. Child Psychol. Psychiatry 57, 585–595 (2016).
Wang, K., Gaitsch, H., Poon, H., Cox, N. J. & Rzhetsky, A. Classification of common human diseases derived from shared genetic and environmental determinants. Nat. Genet 49, 1319–1325 (2017).
Sandin, S. et al. The heritability of autism spectrum disorder. JAMA 318, 1182–1184 (2017).
Faraone, S. V. & Larsson, H. Genetics of attention deficit hyperactivity disorder. Mol. Psychiatry 24, 562–575 (2019).
Larsson, H., Chang, Z., D’Onofrio, B. M. & Lichtenstein, P. The heritability of clinically diagnosed attention deficit hyperactivity disorder across the lifespan. Psychol. Med. 44, 2223–2229 (2014).
Needham, B. D. et al. Plasma and fecal metabolite profiles in autism spectrum disorder. Biol. Psychiatry 89, 451–462 (2021).
Wang, L.-J. et al. Novel plasma metabolite markers of attention-deficit/hyperactivity disorder identified using high-performance chemical isotope labelling-based liquid chromatography-mass spectrometry. World J. Biol. Psychiatry 22, 139–148 (2021).
Adams, J. B. et al. Nutritional and metabolic status of children with autism vs. neurotypical children, and the association with autism severity. Nutr. Metab. 8, 34 (2011).
Brunkhorst-Kanaan, N. et al. Sphingolipid and endocannabinoid profiles in adult attention deficit hyperactivity disorder. Biomedicines 9, 1173 (2021).
Ma, L., Chen, Y.-H., Chen, H., Liu, Y.-Y. & Wang, Y.-X. The function of hypothalamus–pituitary–adrenal axis in children with ADHD. Brain Res. 1368, 159–162 (2011).
Spahis, S. et al. Lipid profile, fatty acid composition and pro- and anti-oxidant status in pediatric patients with attention-deficit/hyperactivity disorder. Prostaglandins Leukot. Essent. Fat. Acids 79, 47–53 (2008).
Murakami, Y., Imamura, Y., Saito, K., Sakai, D. & Motoyama, J. Altered kynurenine pathway metabolites in a mouse model of human attention-deficit hyperactivity/autism spectrum disorders: a potential new biological diagnostic marker. Sci. Rep. 9, 13182 (2019).
Ahrens, A. P. et al. Infant microbes and metabolites point to childhood neurodevelopmental disorders. Cell 187, 1853–1873 (2024).
Yap, C. X. et al. Interactions between the lipidome and genetic and environmental factors in autism. Nat. Med. 29, 936–949 (2023).
Engelhard, M. et al. Patterns of health services use before age 1 in children later diagnosed with ADHD. J. Atten. Disord. 25, 1639 (2021).
Polańska, K., Jurewicz, J. & Hanke, W. Exposure to environmental and lifestyle factors and attention-deficit/hyperactivity disorder in children—a review of epidemiological studies. Int. J. Occup. Med. Environ. Health 25, 330–55 (2012). 1.
Yap, C. X. et al. Autism-related dietary preferences mediate autism-gut microbiome associations. Cell 184, 5916–5931 (2021).
Buss, C., Entringer, S. & Wadhwa, P. D. Fetal programming of brain development: intrauterine stress and susceptibility to psychopathology. Sci. Signal. 5, 1–7 (2012).
Graham, A. M., Marr, M., Buss, C., Sullivan, E. L. & Fair, D. A. Understanding vulnerability and adaptation in early brain development using network neuroscience. Trends Neurosci. 44, 276–288 (2021).
Vasung, L. et al. Development of axonal pathways in the human fetal fronto-limbic brain: histochemical characterization and diffusion tensor imaging. J. Anat. 217, 400–417 (2010).
Tau, G. Z. & Peterson, B. S. Normal development of brain circuits. Neuropsychopharmacol 35, 147–168 (2010).
Bruce, M. R. et al. Altered behavior, brain structure, and neurometabolites in a rat model of autism-specific maternal autoantibody exposure. Mol. Psychiatry 28, 2136–2147 (2023).
Cheng, B. et al. Vitamin A deficiency from maternal gestation may contribute to autistic-like behaviors and gastrointestinal dysfunction in rats through the disrupted purine and tryptophan metabolism. Behav. Brain Res. 452, 114520 (2023).
Che, X. et al. Metabolomic analysis of maternal mid-gestation plasma and cord blood in autism spectrum disorders. Mol. Psychiatry 28, 2355–2369 (2023).
Ritz, B. et al. Untargeted metabolomics screen of mid-pregnancy maternal serum and autism in offspring. Autism Res. 13, 1258–1269 (2020).
Horner, D. et al. A western dietary pattern during pregnancy is associated with neurodevelopmental disorders in childhood and adolescence. Nat. Metab. 7, 586–601 (2025).
Wang, T. et al. Maternal inflammatory proteins in pregnancy and neurodevelopmental disorders at age 10 years. JAMA Psychiatry 82, 514–525 (2025).
Mitchell, A., Dunn, G. A. & Sullivan, E. L. The influence of maternal metabolic state and nutrition on offspring neurobehavioral development: a focus on preclinical models. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 7, 450–460 (2022).
Parenti, M. et al. Neurodevelopment and metabolism in the maternal-placental-fetal unit. JAMA Netw. Open 7, e2413399 (2024).
Hertz-Picciotto, I. et al. A prospective study of environmental exposures and early biomarkers in autism spectrum disorder: design, protocols, and preliminary data from the MARBLES study. Environ. Health Perspect. 126, 117004 (2018).
Bell, A. W. & Ehrhardt, R. A. Regulation of placental nutrient transport and implications for fetal growth. Nutr. Res. Rev. 15, 211–230 (2002).
Gaccioli, F., Lager, S., Powell, T. L. & Jansson, T. Placental transport in response to altered maternal nutrition. J. Dev. Orig. Health Dis. 4, 101–115 (2013).
Manchia, M. & Fanos, V. Targeting aggression in severe mental illness: the predictive role of genetic, epigenetic, and metabolomic markers. Prog. Neuro Psychopharmacol. Biol. Psychiatry 77, 32–41 (2017).
Bethlehem, R.aI. et al. Brain charts for the human lifespan. Nature 604, 525–533 (2022).
Johnson, M. H. Functional brain development in humans. Nat. Rev. Neurosci. 2, 475–483 (2001).
Cockcroft, S. Mammalian lipids: structure, synthesis and function. Essays Biochem. 65, 813–845 (2021).
Shramko, V. S., Polonskaya, Y. V., Kashtanova, E. V., Stakhneva, E. M. & Ragino, Y. I. The short overview on the relevance of fatty acids for human cardiovascular disorders. Biomolecules 10, 1127 (2020).
Krogmann, A. et al. Inflammatory response of human coronary artery endothelial cells to saturated long-chain fatty acids. Microvasc. Res. 81, 52–59 (2011).
Lee, J. Y., Sohn, K. H., Rhee, S. H. & Hwang, D. Saturated fatty acids, but not unsaturated fatty acids, induce the expression of cyclooxygenase-2 mediated through toll-like receptor 4. J. Biol. Chem. 276, 16683–16689 (2001).
Liao, S.-L., Yeh, K.-W., Lai, S.-H., Lee, W.-I. & Huang, J.-L. Maturation of toll-like receptor 1–4 responsiveness during early life. Early Hum. Dev. 89, 473–478 (2013).
Zurolo, E. et al. Activation of toll-like receptor, RAGE and HMGB1 signalling in malformations of cortical development. Brain 134, 1015–1032 (2011).
El-Ansary, A. et al. Alpha-synuclein, cyclooxygenase-2 and prostaglandins-EP2 receptors as neuroinflammatory biomarkers of autism spectrum disorders: use of combined ROC curves to increase their diagnostic values. Lipids Health Dis. 20, 155 (2021).
Hernández, R. & Margarita, A. Diet and sleep in children and adolescents with Attention-Deficit Hyperactivity Disorder. Phd thesis, Universitat de Barcelona (2017). 1.
Wołoszynowska-Fraser, M. U., Kouchmeshky, A. & McCaffery, P. Vitamin A and retinoic acid in cognition and cognitive disease. Annu. Rev. Nutr. 40, 247–272 (2020).
Ramakrishna, T. Vitamins and brain development. Physiol. Res. 48, 175–187 (1999).
Li, H.-H. et al. Serum levels of vitamin A and vitamin D and their association with symptoms in children with attention deficit hyperactivity disorder. Front. Psychiatry 11, 599958 (2020). 1.
Gürbüz, M. & Aktaç, Ş Understanding the role of vitamin A and its precursors in the immune system. Nutr. Clin. Métab. 36, 89–98 (2022).
Moeini, F., Mostaghimi, M., Honarvar, M. R. & Sharifi, A. Comparison of dietary intake of vitamin A in children with autism spectrum disorders with healthy children in Gorgan city in 2021: a case-control study. Pajouhan Sci. J. 21, 97–103 (2023).
Miodownik, C. & Lerner, V. The neuroprotective efficacy of vitamins. in Brain Protection in Schizophrenia, Mood and Cognitive Disorders (ed Ritsner, M. S.) 505–553 https://doi.org/10.1007/978-90-481-8553-5_17 (Springer Nature, 2010). 1.
El-Ansary, A. et al. The role of lipidomics in autism spectrum disorder. Mol. Diagn. Ther. 24, 31–48 (2020).
Stone, T. W. & Darlington, L. G. Endogenous kynurenines as targets for drug discovery and development. Nat. Rev. Drug Discov. 1, 609–620 (2002).
Ruddick, J. P. et al. Tryptophan metabolism in the central nervous system: medical implications. Expert Rev. Mol. Med. 8, 1–27 (2006).
Moffett, J. R. et al. Quinolinate as a marker for kynurenine metabolite formation and the unresolved question of NAD+ synthesis during inflammation and infection. Front. Immunol. 11, 31 (2020). 1.
Stone, T. W. & Darlington, L. G. The kynurenine pathway as a therapeutic target in cognitive and neurodegenerative disorders. Br. J. Pharmacol. 169, 1211–1227 (2013).
Heyes, M. P. et al. Quinolinic acid and kynurenine pathway metabolism in inflammatory and non-inflammatory neurological disease. Brain 115, 1249–1273 (1992).
Lima, S., Gawandi, V., Momany, C. & Phillips, R. S. Crystal structure of the Homo sapiens kynureninase-2-amino-3-hydroxyhippuric acid inhibitor complex. FASEB J. 20, A895–A895 (2006).
Chang, J. P.-C., Lane, H.-Y. & Tsai, G. E. Attention deficit hyperactivity disorder and N-methyl-D-aspartate (NMDA) dysregulation. Curr. Pharm. Des. 20, 5180–5185 (2014).
Dessus-Gilbert, M.-L. et al. NMDA antagonist agents for the treatment of symptoms in autism spectrum disorder: a systematic review and meta-analysis. Front. Pharmacol. 15, 1395867 (2024). 1.
Sandström, K. O. et al. Add-on MEmaNtine to dopamine antagonism to improve negative symptoms at first psychosis-the AMEND trial protocol. Front. Psychiatry 13, 889572 (2022). 1.
Stone, T. W. Neuropharmacology of quinolinic and kynurenic acids. Pharmacol. Rev. 45, 309–379. 1.
Sapko, M. T. et al. Endogenous kynurenate controls the vulnerability of striatal neurons to quinolinate: Implications for Huntington’s disease. Exp. Neurol. 197, 31–40 (2006).
Ting, K. K., Brew, B. J. & Guillemin, G. J. Effect of quinolinic acid on human astrocytes morphology and functions: implications in Alzheimer’s disease. J. Neuroinflammation 6, 36 (2009).
Hestad, K., Alexander, J., Rootwelt, H. & Aaseth, J. O. The role of tryptophan dysmetabolism and quinolinic acid in depressive and neurodegenerative diseases. Biomolecules 12, 998 (2022).
Guillemin, G. J. Quinolinic acid: neurotoxicity. FEBS J. 279, 1355–1355 (2012).
Muneer, A. Kynurenine pathway of tryptophan metabolism in neuropsychiatric disorders: pathophysiologic and therapeutic considerations. Clin. Psychopharmacol. Neurosci. 18, 507–526 (2020).
Schwarcz, R. & Stone, T. W. The kynurenine pathway and the brain: challenges, controversies and promises. Neuropharmacology 112, 237–247 (2017).
Bilbo, S. D. & Schwarz, J. M. The immune system and developmental programming of brain and behavior. Front. Neuroendocrinol. 33, 267–286 (2012).
Matsumura, Y., Kitabatake, M., Kayano, S. & Ito, T. Dietary phenolic compounds: their health benefits and association with the gut microbiota. Antioxidants 12, 880 (2023).
Thapliyal, S. et al. A review on potential footprints of ferulic acid for treatment of neurological disorders. Neurochem. Res. 46, 1043–1057 (2021).
Di Giacomo, S. et al. Recent advances in the neuroprotective properties of ferulic acid in Alzheimer’s disease: a narrative review. Nutrients 14, 3709 (2022).
Zduńska, K., Dana, A., Kolodziejczak, A. & Rotsztejn, H. Antioxidant properties of ferulic acid and its possible application. Skin Pharmacol. Physiol. 31, 332–336 (2018).
Bilbo, S. D., Block, C. L., Bolton, J. L., Hanamsagar, R. & Tran, P. K. Beyond infection-maternal immune activation by environmental factors, microglial development, and relevance for autism spectrum disorders. Exp. Neurol. 299, 241–251 (2018).
Carlsson, T., Molander, F., Taylor, M. J., Jonsson, U. & Bölte, S. Early environmental risk factors for neurodevelopmental disorders–a systematic review of twin and sibling studies. Dev. Psychopathol. 33, 1448–1495 (2021).
Kim, B. ora et al. Prenatal exposure to paternal smoking and likelihood for autism spectrum disorder. Autism 25, 1946–1959 (2021).
Bisgaard, H. et al. Deep phenotyping of the unselected COPSAC 2010 birth cohort study. Clin. Exp. Allergy 43, 1384–1394 (2013).
Mohammadzadeh, P. et al. Effects of prenatal nutrient supplementation and early life exposures on neurodevelopment at age 10: a randomised controlled trial-the COPSYCH study protocol. BMJ Open 12, e047706 (2022).
Bell, C. C. DSM-IV: diagnostic and statistical manual of mental disorders. JAMA 272, 828–829 (1994).
World Health Organization. The ICD-10 Classification of Mental and Behavioural Disorders: Clinical Descriptions and Diagnostic Guidelines. (2009). 1.
Kaufman, J. & Schweder, A. E. The Schedule for Affective Disorders and Schizophrenia for School-Age Children: Present and Lifetime Version (K-SADS-PL) (eds. Hilsenroth, M. J. & Segal, D. L.) 247–255 (John Wiley & Sons, Inc., 2004). 1.
DuPaul, G. J., Power, T. J., Anastopoulos, A. D. & Reid, R. ADHD Rating Scale—IV: Checklists, Norms, and Clinical Interpretation Vol. 79, (The Guilford Press, 1998). 1.
Makransky, G. & Bilenberg, N. Psychometric properties of the parent and teacher ADHD rating scale (ADHD-RS): measurement invariance across gender, age, and informant. Assessment 21, 694–705 (2014).
Bruni, T. P. Test review: social responsiveness scale–second edition (SRS-2). J. Psychoeduc. Assess. 32, 365–369 (2014).
Bisgaard, H. et al. Fish oil–derived fatty acids in pregnancy and wheeze and asthma in offspring. N. Engl. J. Med. 375, 2530–2539 (2016).
Chawes, B. L. et al. Effect of vitamin D3 supplementation during pregnancy on risk of persistent wheeze in the offspring: a randomized clinical trial. JAMA 315, 353–361 (2016).
Evans, A. M., DeHaven, C. D., Barrett, T., Mitchell, M. & Milgram, E. Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems. Anal. Chem. 81, 6656–6667 (2009).
Rohart, F., Gautier, B., Singh, A. & Cao, K.-A. L. mixOmics: an R package for ‘omics feature selection and multiple data integration. PLoS Comput. Biol. 13, e1005752 (2017).
Kuhn, M. Building predictive models in R using the caret package. J. Stat. Softw. 28, 1–26 (2008).
Leal Rodríguez, C. et al. The infant gut virome is associated with preschool asthma risk independently of bacteria. Nat. Med. 30, 138–148 (2023).
Acknowledgements
We thank the children and families of the COPSAC2010 cohort study for all their support and commitment. We acknowledge and appreciate the efforts of the COPSAC research team. All funding received by COPSAC is listed on www.copsac.com. T.W., M.A., and B.C. are supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 946228). The COPSYCH study was funded by The Lundbeck Foundation (grant no R269-2017-5), and The Capital Region Research Foundation has provided core support to the COPSAC research Center.
Author information
Author notes
These authors jointly supervised this work: Bjørn H. Ebdrup, Bo Chawes.
Authors and Affiliations
COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
Tingting Wang, Rebecca Vinding, Nicklas Brustad, Liang Chen, María Hernández-Lorca, Mina Ali, Julie Bøjstrup Rosenberg, Parisa Mohammadzadeh, Michael Widdowson, Parvaneh Ebrahimi, Morten A. Rasmussen, Jonathan Thorsen, Klaus Bønnelykke & Bo Chawes 1.
Mental Health Centre Glostrup, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) & Center for Neuropsychiatric Schizophrenia Research (CNSR), University of Copenhagen, Glostrup, Denmark
Jens Richardt Møllegaard Jepsen, María Hernández-Lorca, Julie Bøjstrup Rosenberg, Parisa Mohammadzadeh & Bjørn H. Ebdrup 1.
Mental Health Centre for Child and Adolescent Psychiatry-Research unit, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
Jens Richardt Møllegaard Jepsen 1.
Department of Food Science, Section of Food Microbiology, Gut health and Fermentation, University of Copenhagen, Copenhagen, Denmark
Parvaneh Ebrahimi & Morten A. Rasmussen 1.
Department of Health Technology, Section of Bioinformatics, Technical University of Denmark, Lyngby, Denmark
Parvaneh Ebrahimi 1.
Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Jonathan Thorsen, Klaus Bønnelykke, Bjørn H. Ebdrup & Bo Chawes
Authors
- Tingting Wang
- Jens Richardt Møllegaard Jepsen
- Rebecca Vinding
- Nicklas Brustad
- Liang Chen
- María Hernández-Lorca
- Mina Ali
- Julie Bøjstrup Rosenberg
- Parisa Mohammadzadeh
- Michael Widdowson
- Parvaneh Ebrahimi
- Morten A. Rasmussen
- Jonathan Thorsen
- Klaus Bønnelykke
- Bjørn H. Ebdrup
- Bo Chawes
Contributions
T.W. performed all analyses and has written the first draft of the manuscript, under supervision from B.E. and B.C. T.W. and B.C. formulated the research question, concept and design. P.M. and J.B.R. were the primary clinical investigators in the COPSYCH 10-year follow-up visit and substantial contributors to the data collection. J.R.M., R.V., N.B., L.C., M.H., M.A., J.B.R., P.M., M.W., P.E., M.A.R., J.T., K.B., B.H., and B.C. rigorously reviewed and revised the manuscript, providing substantial intellectual input and contributing to the analysis plan and interpretation of results. Approval of the final manuscript, ensuring its accuracy and integrity, was unanimous among all authors. The corresponding author had full access to the data and had final responsibility for the decision to submit for publication. No honorarium, grant, or other form of payment was given to any of the authors to produce this manuscript.
Corresponding authors
Correspondence to Tingting Wang or Bo Chawes.
Ethics declarations
Competing interests
B.H.E. is part of the Advisory Board of Boehringer Ingelheim, Lundbeck Pharma A/S; and has received lecture fees from Boehringer Ingelheim, Otsuka Pharma Scandinavia AB, and Lundbeck Pharma A/S. J.T. has received a lecture fee from AstraZeneca. The remaining authors declare no conflicts of interest, whether potential, perceived, or actual, pertaining to the content of this manuscript.
Peer review
Peer review information
Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. A peer review file is available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in t