Predictive values of serum metabolites in early pregnancy and their possible pathways for gestational diabetes: A nested case-control study in Tianjin,China |
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| Institution: | 1. Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China;2. Project Office, Tianjin Women and Children''s Health Center, Tianjin 300070, China;3. Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax 15000, Canada;4. Department of Medicine and Therapeutics and Li Ka Shing Institute of Health Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong 999077, China;5. Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA;6. Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China;1. Marmara University School of Medicine, Department of Endocrinology and Metabolism, Istanbul, Turkey;2. Marmara University School of Medicine, Department of Public Health, Istanbul, Turkey;3. Marmara University School of Medicine, Department of Biochemistry, Istanbul, Turkey;1. University of Latvia, Faculty of Medicine, Jelgavas iela 3, LV 1004 Riga, Latvia;2. Pauls Stradi?? Clinical University Hospital, Endocrinology Department, Pilso?u iela 13, LV 1002 Riga, Latvia;3. Riga Stradi?? University, Faculty of Residency, Dzirciema iela 16, LV 1007 Riga, Latvia;4. University of Latvia, Faculty of Physics, Mathematics and Optometry, Jelgavas iela 3, LV 1004 Riga, Latvia;5. Pauls Stradi?? Clinical University Hospital, Centre of Nephrology, Pilso?u iela 13, LV 1002 Riga, Latvia;1. Madras Diabetes Research Foundation & Dr. Mohan''s Diabetes Specialities Centre, ICMR Centre for Advanced Research on Diabetes, Chennai, India;2. Directorate of Health Services, Imphal, India;3. Pondicherry Institute of Medical Sciences, Puducherry, India;4. Christian Medical College & Hospital, Ludhiana, India;5. Government Medical College, Agartala, India;6. Civil Hospital, Aizawl, India;7. S.C.B Medical College & Hospital, Cuttack, India;8. Himalayan Institute of Medical Sciences, Dehradun, India;9. Indira Gandhi Medical College, Shimla, India;10. Goa Medical College, Bambolim, India;11. Apollo Hospitals, Bilaspur, India;12. Non-Communicable Disease Division, Indian Council of Medical Research, New Delhi, India;1. Vorarlberg Institute for Vascular Investigation and Treatment (VIVIT), Carinagasse 47, AT-6800 Feldkirch, Austria;2. Private University of the Principality of Liechtenstein, Dorfstrasse 24, FL-9495 Triesen, Liechtenstein;3. Department of Medicine I, Academic Teaching Hospital Feldkirch, Carinagasse 47, AT-6800 Feldkirch, Austria;4. Drexel University College of Medicine, 2900 W Queen Ln, PA 19129, Philadelphia, USA;1. Department of Clinical Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua city, Zhejiang Province, China;2. Central Laboratory, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua city, Zhejiang Province, China;1. First Department of Internal Medicine, Diabetes Center, Division of Endocrinology and Metabolism, AHEPA University Hospital, Thessaloniki, Greece;2. Section of Endocrinology and Metabolism, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, United States of America |
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| Abstract: | AimsTo investigate the associations and predictive values of serum metabolites in early pregnancy for later development of gestational diabetes mellitus (GDM), and further explore their metabolic pathways to GDM.MethodsWe conducted a 1:1 nested case-control study including 486 pregnant women from Tianjin, China, and collected blood samples at their first registration (median at 10th gestational week). Liquid chromatography-tandem mass spectrometry was used to measure serum metabolites. Orthogonal partial least squares discriminant analysis was used to select specific metabolites associated with GDM, and pathway analysis was used to identify the metabolic pathways related to GDM.ResultsA total of 64 serum metabolites were included in this analysis, 17 of which were identified as specific metabolites associated with GDM. Ten metabolites increased and seven metabolites decreased GDM risk. Inclusion of these specific metabolites to the model of traditional risk factors greatly increased the predictive value from 0.69 (95% confidence interval: 0.64–0.74) to 0.92 (0.90–0.95). In addition, we found that glycerophospholipid metabolism, sphingolipid metabolism and primary bile acid biosynthesis were main metabolic pathways related to GDM.ConclusionWe identified a set of serum metabolites and their metabolic pathways in early pregnancy associated with GDM, which provided a theoretical basis for further research on the molecular pathways to GDM and early identification of GDM. |
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