Investigation of metabolomic biomarkers for childhood executive function and the role of genetic and dietary factors: The GUSTO cohort
Jian Huang,
Evelyn Law,
Ibrahim Karaman,
Keri McCrickerd,
Anna Fogel,
Mary F.F. Chong,
Lourdes Mary Daniel,
Patricia Pelufo Silveira,
Yap Seng Chong,
Johan G. Eriksson,
Michael J. Meaney,
Jonathan Huang
Affiliations
Jian Huang
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK; Corresponding authors at: Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore 117609.
Evelyn Law
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, Singapore
Ibrahim Karaman
Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
Keri McCrickerd
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore
Anna Fogel
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
Mary F.F. Chong
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore
Lourdes Mary Daniel
Department of Child Development, KK Women's and Children's Hospital, Singapore
Patricia Pelufo Silveira
Department of Psychiatry, Faculty of Medicine and Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Canada
Yap Seng Chong
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics & Gynaecology, National University Health System, Singapore; Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore
Johan G. Eriksson
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
Michael J. Meaney
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Psychiatry, Faculty of Medicine and Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Canada
Jonathan Huang
Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Corresponding authors at: Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore 117609.
Summary: Background: Few studies have investigated molecular biomarkers of specific executive function (EF) skills in children. We aimed to characterise the prospective associations between metabolome and multiple domains of EF using a bidirectional design. Methods: This study was conducted within a longitudinal birth cohort, the Growing Up in Singapore Towards healthy Outcomes (GUSTO). Circulating levels of 165 metabolites were quantified using a nuclear magnetic resonance based metabolomics platform (n = 457 (∼6yrs) and n = 524 (∼8yrs)). Parent-reported EF was available for 495 children (∼7yrs). Multivariate linear regression was used to assess the metabolite-EF relationships. We examined the role of body composition, dietary factors, and genetics in the metabolite-EF associations. Findings: Higher leucine level (∼6yrs) was associated with poorer EF (∼7yrs, Initiate (P = 0.003) and Working Memory (P = 0.004)). EF (∼7yrs) was not associated with leucine (∼8yrs). Importantly, we found weak evidence for associations of dietary factors (∼5yrs) with leucine (∼6yrs) and EF (∼7yrs). Each copy of C allele in rs1260326 (a leucine-related polymorphism) was associated with higher leucine level and poorer Initiate and Working Memory (P < 0.05). Amongst those with less strongly genetically influenced leucine, inverse association between leucine and cognitive regulation were weaker among those with higher BMI. Interpretation: The observed association between higher leucine level and poorer EF may be determined by genetics and may not be easily amenable to dietary interventions. Further research is needed for validation and to understand mechanisms. Funding: Singapore National Research Foundation and Agency for Science, Technology and Research.