Abstract

Human brain development starts in the embryonic period. Maternal preconception nutrition and nutrient availability to the embryo may influence brain development at this critical period following conception and early cellular differentiation, thereby affecting offspring neurodevelopmental and behavioural disorder risk. However, studying this is challenging due to difficulties in characterizing preconception nutritional status and few studies have objective neurodevelopmental imaging measures in children. We investigated the associations of maternal preconception circulating blood nutrient-related biomarker mixtures (~15 weeks before conception) with child behavioural symptoms (Child Behaviour Checklist (CBCL), aged 3 years) within the Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S-PRESTO) study. The CBCL preschool form evaluates child behaviours based on syndrome scales and Diagnostic and Statistical Manual of Mental Disorders (DSM) oriented scales. These scales consist of internalizing problems, externalizing problems, anxiety problems, pervasive developmental problems, oppositional defiant, etc. We applied data-driven clustering and a method for modelling mixtures (Bayesian kernel machine regression, BKMR) to account for complex, non-linear dependencies between 67 biomarkers. We used effect decomposition analyses to explore the potential mediating role of neonatal (week 1) brain microstructure, specifically orientation dispersion indices (ODI) of 49 cortical and subcortical grey matter regions. We found that higher levels of a nutrient cluster including thiamine, thiamine monophosphate (TMP), pyridoxal phosphate, pyridoxic acid, and pyridoxal were associated with a higher CBCL score for internalizing problems (posterior inclusion probability (PIP) = 0.768). Specifically, thiamine independently influenced CBCL (Conditional PIP = 0.775). Higher maternal preconception thiamine level was also associated with a lower right subthalamic nucleus ODI (P-value = 0.01) while a lower right subthalamic nucleus ODI was associated with higher CBCL scores for multiple domains (P-value < 0.05). One potential mechanism is the suboptimal metabolism of free thiamine to active vitamin B1, but additional follow-up and replication studies in other cohorts are needed.

Details

Title
Maternal preconception circulating blood biomarker mixtures, child behavioural symptom scores and the potential mediating role of neonatal brain microstructure: the S-PRESTO cohort
Author
Huang, Jian 1   VIAFID ORCID Logo  ; Tan, Ai Peng 2   VIAFID ORCID Logo  ; Law, Evelyn 3 ; Godfrey, Keith M. 4   VIAFID ORCID Logo  ; Qiu, Anqi 5   VIAFID ORCID Logo  ; Daniel, Lourdes Mary 6 ; Fortier, Marielle 7 ; Tan, Kok Hian 8   VIAFID ORCID Logo  ; Chan, Jerry Kok Yen 9 ; Cameron-Smith, David 10 ; Chong, Yap Seng 11 ; Chan, Shiao-Yng 12   VIAFID ORCID Logo  ; Eriksson, Johan G. 13 ; Meaney, Michael J. 14 ; Huang, Jonathan 15 

 Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221) 
 Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); National University of Singapore (NUS), Department of Diagnostic Radiology, Yong Loo Lin School of Medicine, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); National University Health System, Department of Diagnostic Imaging, Singapore, Singapore (GRID:grid.410759.e) (ISNI:0000 0004 0451 6143) 
 Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); National University of Singapore, Department of Paediatrics, Yong Loo Lin School of Medicine, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital, Department of Paediatrics, Singapore, Singapore (GRID:grid.412106.0) (ISNI:0000 0004 0621 9599) 
 University of Southampton & University Hospital Southampton NHS Foundation Trust, MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, Southampton, UK (GRID:grid.430506.4) (ISNI:0000 0004 0465 4079) 
 National University of Singapore, Department of Biomedical Engineering, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); National University of Singapore, The N.1 Institute for Health, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); National University of Singapore, NUS (Suzhou) Research Institute, Singapore, China (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); National University of Singapore, Institute of Data Science, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); Johns Hopkins University, Department of Biomedical Engineering, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311) 
 KK Women’s and Children’s Hospital, Department of Child Development, Singapore, Singapore (GRID:grid.414963.d) (ISNI:0000 0000 8958 3388) 
 Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); KK Women’s and Children’s Hospital, Department of Diagnostic & Interventional Imaging, Singapore, Singapore (GRID:grid.414963.d) (ISNI:0000 0000 8958 3388) 
 KK Women’s and Children’s Hospital, Department of Maternal Fetal Medicine, Singapore, Singapore (GRID:grid.414963.d) (ISNI:0000 0000 8958 3388) 
 Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); KK Women’s and Children’s Hospital, KK Research Centre, Singapore, Singapore (GRID:grid.414963.d) (ISNI:0000 0000 8958 3388) 
10  The University of Newcastle, College of Health, Medicine and Wellbeing, Newcastle, Australia (GRID:grid.266842.c) (ISNI:0000 0000 8831 109X) 
11  Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); National University Health System, Department of Obstetrics & Gynaecology, Singapore, Singapore (GRID:grid.410759.e) (ISNI:0000 0004 0451 6143); National University of Singapore, Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) 
12  Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); National University of Singapore, Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) 
13  Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); National University of Singapore, Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); University of Helsinki, Department of general practice and primary health care, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); Folkhälsan Research Center, Helsinki, Finland (GRID:grid.428673.c) (ISNI:0000 0004 0409 6302) 
14  Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); McGill University, Department of Psychiatry, Faculty of Medicine and Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, Montreal, Canada (GRID:grid.14709.3b) (ISNI:0000 0004 1936 8649) 
15  Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Agency for Science, Singapore, Singapore (GRID:grid.185448.4) (ISNI:0000 0004 0637 0221); Duke-NUS Medical School, Centre for Quantitative Medicine, Singapore, Singapore (GRID:grid.428397.3) (ISNI:0000 0004 0385 0924) 
Pages
38
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2772194983
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.