Xuyang Chen1,2, Jamie V de Seymour3, Ting-Li Han1,3, Yinyin Xia4, Chang Chen1,5, Ting Zhang1,2, Hua Zhang6,7, Philip N Baker1,8. 1. Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. 2. State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China. 3. Liggins Institute, The University of Auckland, Auckland, 1023, New Zealand. 4. School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China. 5. Institute of Life Sciences, Chongqing Medical University, Chongqing, 400016, China. 6. Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. zh2844@gmail.com. 7. State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China. zh2844@gmail.com. 8. College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, UK.
Abstract
INTRODUCTION: Gestational diabetes mellitus (GDM) is impaired glucose tolerance first recognised during pregnancy; its development is associated with many adverse outcomes. Mechanisms of GDM development are not fully elucidated and few studies have used Chinese participants. OBJECTIVES: The aim of this study was to investigate the maternal metabolome associated with GDM in a Chinese population, and explore the relationship with maternal diet. METHODS: Ninety-three participants were recruited at 26-28 weeks' gestation from Chongqing, China. Maternal urine, serum, and hair metabolomes were analysed using gas and liquid chromatography-mass spectrometry. Dietary intake was assessed using a 96-item food frequency questionnaire. RESULTS: Of the 1064 metabolites identified, 73 were significantly different between cases and controls (P < 0.05), but only 2-aminobutyric acid had both a p- and q-value < 0.05. A "snack-based-dietary-pattern" was associated with an increased likelihood of GDM (odds ratio 2·1; 95% confidence interval 1.1-3.9). The association remained significant after adjustment for calorie intake but not food volume. CONCLUSION: This study provides a comprehensive characterization of the maternal metabolome. The snack-based dietary pattern associated with GDM suggests that timing and frequency of consumption are important factors in the relationship between maternal diet and GDM.
INTRODUCTION:Gestational diabetes mellitus (GDM) is impaired glucose tolerance first recognised during pregnancy; its development is associated with many adverse outcomes. Mechanisms of GDM development are not fully elucidated and few studies have used Chinese participants. OBJECTIVES: The aim of this study was to investigate the maternal metabolome associated with GDM in a Chinese population, and explore the relationship with maternal diet. METHODS: Ninety-three participants were recruited at 26-28 weeks' gestation from Chongqing, China. Maternal urine, serum, and hair metabolomes were analysed using gas and liquid chromatography-mass spectrometry. Dietary intake was assessed using a 96-item food frequency questionnaire. RESULTS: Of the 1064 metabolites identified, 73 were significantly different between cases and controls (P < 0.05), but only 2-aminobutyric acid had both a p- and q-value < 0.05. A "snack-based-dietary-pattern" was associated with an increased likelihood of GDM (odds ratio 2·1; 95% confidence interval 1.1-3.9). The association remained significant after adjustment for calorie intake but not food volume. CONCLUSION: This study provides a comprehensive characterization of the maternal metabolome. The snack-based dietary pattern associated with GDM suggests that timing and frequency of consumption are important factors in the relationship between maternal diet and GDM.
Authors: Boyd E Metzger; Steven G Gabbe; Bengt Persson; Thomas A Buchanan; Patrick A Catalano; Peter Damm; Alan R Dyer; Alberto de Leiva; Moshe Hod; John L Kitzmiler; Lynn P Lowe; H David McIntyre; Jeremy J N Oats; Yasue Omori; Maria Ines Schmidt Journal: Diabetes Care Date: 2010-03 Impact factor: 17.152
Authors: Alysha M De Livera; Marko Sysi-Aho; Laurent Jacob; Johann A Gagnon-Bartsch; Sandra Castillo; Julie A Simpson; Terence P Speed Journal: Anal Chem Date: 2015-03-06 Impact factor: 6.986
Authors: Thorsten Bauersachs; Justine Compaoré; Ellen C Hopmans; Lucas J Stal; Stefan Schouten; Jaap S Sinninghe Damsté Journal: Phytochemistry Date: 2009-09-19 Impact factor: 4.072
Authors: Walter E Gall; Kirk Beebe; Kay A Lawton; Klaus-Peter Adam; Matthew W Mitchell; Pamela J Nakhle; John A Ryals; Michael V Milburn; Monica Nannipieri; Stefania Camastra; Andrea Natali; Ele Ferrannini Journal: PLoS One Date: 2010-05-28 Impact factor: 3.240
Authors: Li Wen; Huisheng Ge; Juan Qiao; Lan Zhang; Xuyang Chen; Mark D Kilby; Ying Zhou; Jie Gan; Richard Saffery; Jianying Yan; Chao Tong; Hongbo Qi; Philip N Baker Journal: Nutr J Date: 2020-02-10 Impact factor: 3.271
Authors: Russell J de Souza; Meera Shanmuganathan; Amel Lamri; Stephanie A Atkinson; Allan Becker; Dipika Desai; Milan Gupta; Piush J Mandhane; Theo J Moraes; Katherine M Morrison; Padmaja Subbarao; Koon K Teo; Stuart E Turvey; Natalie C Williams; Philip Britz-McKibbin; Sonia S Anand Journal: Curr Dev Nutr Date: 2020-09-02
Authors: Xiyao Liu; Huijia Fu; Li Wen; Fangyu Zhu; Yue Wu; Zhi Chen; Richard Saffery; Chang Chen; Hongbo Qi; Chao Tong; Philip N Baker; Mark D Kilby Journal: Front Mol Biosci Date: 2022-04-08