Chia, Ai-Ru, de Seymour, Jamie V., Wong, Gerard, Sulek, Karolina, Han, Ting-Li, McKenzie, Elizabeth J., Aris, Izzuddin M., Godfrey, Keith M., Yap, Fabian, Tan, Kok Hian, Shek, Lynette Pei-Chi, Lee, Yung Seng, Kramer, Michael S., Karnani, Neerja, Chong, Mary Foong-Fong and Baker, Philip N. (2020) Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics: The GUSTO study. Scientific Reports, 10. ISSN 2045-2322
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Abstract
Infant adiposity may be related to later metabolic health. Maternal metabolite profiling reflects both genetic and environmental influences and allows elucidation of metabolic pathways associated with infant adiposity. In this multi-ethnic Asian cohort, we aimed to (i) identify maternal plasma metabolites associated with infant adiposity and other birth outcomes and (ii) investigate the maternal characteristics associated with those metabolites. In 940 mother-offspring pairs, we performed gas chromatography-mass spectrometry and identified 134 metabolites in maternal fasting plasma at 26–28 weeks of gestation. At birth, neonatal triceps and subscapular skinfold thicknesses were measured by trained research personnel, while weight and length measures were abstracted from delivery records. Gestational age was estimated from first-trimester dating ultrasound. Associations were assessed by multivariable linear regression, with p-values corrected using the Benjamini-Hochberg approach. At a false discovery rate of 5%, we observed associations between 28 metabolites and neonatal sum of skinfold thicknesses (13 amino acid-related, 4 non-esterified fatty acids, 6 xenobiotics, and 5 unknown compounds). Few associations were observed with gestational duration, birth weight, or birth length. Maternal ethnicity, pre-pregnancy BMI, and diet quality during pregnancy had the strongest associations with the specific metabolome related to infant adiposity. Further studies are warranted to replicate our findings and to understand the underlying mechanisms.
Item Type: | Article |
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Additional Information: | Data availability: Data are available upon request because data request for analysis must be assessed and approved by the executive committee of the GUSTO study and administered by the main GUSTO study team of data management, which is a third-party source. Any matter related to data request, please contact Mary Chong Foong Fong at mary_chong@nus.edu.sg. Funding information: This research is supported by the Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore; and the Ministry of Business, Innovation, and Employment (MBIE), New Zealand, through the International Relationships Fund. GUSTO is financially supported under Translational Clinical Research (TCR) Flagship Programme on Developmental Pathways to Metabolic Disease (NMRC/TCR/004-NUS/2008; NMRC/TCR/012-NUHS/2014) funded by the National Research Foundation (NRF) and administered by the National Medical Research Council (NMRC), Singapore. Additional funding is provided by the Singapore Institute for Clinical Sciences, A*STAR, Singapore. K.M.G. is supported by the National Institute for Health Research through the NIHR Southampton Biomedical Research Centre and the European Union’s Erasmus+ Capacity-building ENeASEA Project and Seventh Framework Programme (FP7/2007–2013), projects EarlyNutrition and ODIN (grant numbers 289346 and 613977). Study sponsors were not involved in the design of the study, statistical analysis and results interpretation. |
Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
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Depositing User: | LivePure Connector |
Date Deposited: | 10 Jun 2025 13:30 |
Last Modified: | 10 Jun 2025 13:30 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/99434 |
DOI: | 10.1038/s41598-020-66026-5 |
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