Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study

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 metab...

Full description

Saved in:
Bibliographic Details
Main Authors: 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, Baker, Philip N.
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/146110
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-146110
record_format dspace
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Molecular Biology
Paediatrics
spellingShingle Science::Medicine
Molecular Biology
Paediatrics
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
Baker, Philip N.
Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study
description 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.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
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
Baker, Philip N.
format Article
author 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
Baker, Philip N.
author_sort Chia, Ai-Ru
title Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study
title_short Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study
title_full Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study
title_fullStr Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study
title_full_unstemmed Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study
title_sort maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the gusto study
publishDate 2021
url https://hdl.handle.net/10356/146110
_version_ 1759856418551234560
spelling sg-ntu-dr.10356-1461102023-03-05T16:47:53Z Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study 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 Baker, Philip N. Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine Molecular Biology Paediatrics 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. Agency for Science, Technology and Research (A*STAR) National Medical Research Council (NMRC) National Research Foundation (NRF) Published version All authors thank the GUSTO study group, GUSTO study team, Department of Diagnostic and Interventional Imaging, KKH, Department of Diagnostic Imaging, NUH and the study participants; parents and their neonates for their valuable contribution in this study. The GUSTO study group includes Allan Sheppard, Amutha Chinnadurai, Anne Eng Neo Goh, Anne Rifkin-Graboi, Anqi Qiu, Arijit Biswas, Bee Wah Lee, Birit F.P. Broekman, Boon Long Quah, Borys Shuter, Chai Kiat Chng, Cheryl Ngo, Choon Looi Bong, Christiani Jeyakumar Henry, Cornelia Yin Ing Chee, Yam Thiam Daniel Goh, Doris Fok, Fabian Yap, George Seow Heong Yeo, Helen Chen, Hugo P S van Bever, Iliana Magiati, Inez Bik Yun Wong, Ivy Yee-Man Lau, Jeevesh Kapur, Jenny L. Richmond, Jerry Kok Yen Chan, Joanna D. Holbrook, Joshua J. Gooley, Keith M. Godfrey, Kenneth Kwek, Kok Hian Tan, Krishnamoorthy Niduvaje, Leher Singh, Lin Lin Su, Lourdes Mary Daniel, Lynette Pei-Chi Shek, Marielle V. Fortier, Mark Hanson, Mary Foong-Fong Chong, Mary Rauff, Mei Chien Chua, Michael Meaney, Mya Thway Tint, Neerja Karnani, Ngee Lek, Oon Hoe Teoh, P. C. Wong, Peter D. Gluckman, Pratibha Agarwal, Rob M. van Dam, Salome A. Rebello, Seang-Mei Saw, Shang Chee Chong, Shirong Cai, Shu-E Soh, Sok Bee Lim, Chin-Ying Stephen Hsu, Victor Samuel Rajadurai, Walter Stunkel, Wee Meng Han, Wei Wei Pang, Yap-Seng Chong, Yin Bun Cheung, Yiong Huak Chan and Yung Seng Lee. 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. 2021-01-26T09:16:19Z 2021-01-26T09:16:19Z 2020 Journal Article Chia, A.-R., de Seymour, J. V., Wong, G., Sulek, K., Han, T.-L., McKenzie, E. J., . . . Baker, P. N. (2020). Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics : the GUSTO study. Scientific Reports, 10(1), 9422-. doi:10.1038/s41598-020-66026-5 2045-2322 https://hdl.handle.net/10356/146110 10.1038/s41598-020-66026-5 32523012 2-s2.0-85086342713 1 10 en NMRC/TCR/004-NUS/2008 NMRC/TCR/012-NUHS/2014 Scientific Reports © 2020 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. application/pdf