Maternal Early Pregnancy Serum Metabolites and Risk of Gestational Diabetes Mellitus

• Published in: The journal of clinical endocrinology and metabolism Vol. 100; no. 11; pp. 4348 - 4356
• Main Authors: Enquobahrie, Daniel A, Denis, Marie, Tadesse, Mahlet G, Gelaye, Bizu, Ressom, Habtom W, Williams, Michelle A
• Format: Journal Article
• Language: English
• Published: United States Endocrine Society 01.11.2015; Copyright by The Endocrine Society
• Subjects: Adult; Age Factors; Biomarkers - blood; Body Mass Index; Case-Control Studies; Cohort Studies; Diabetes, Gestational - blood; Diabetes, Gestational - epidemiology; Ethnic Groups; Female; Gas Chromatography-Mass Spectrometry; Humans; Original; Pregnancy - blood; Quality Control; Risk Assessment; Risk Factors; Smoking - adverse effects
• ISSN: 0021-972X; 1945-7197
• DOI: 10.1210/jc.2015-2862

Context: Significant gaps remain in the understanding of genetic and environmental risk factors, as well as related mechanisms that contribute to gestational diabetes mellitus (GDM). Objectives: This study aimed to investigate early pregnancy maternal serum metabolites and subsequent risk of GDM. Design: Information on participant characteristics and GDM diagnosis was collected using in-person interviews and medical record abstraction, respectively. Early pregnancy serum samples were used for nontargeted metabolite profiling using a gas chromatography–mass spectrometry platform. Lasso regression was used to select a set of metabolites that are jointly associated with GDM case-control status. We evaluated the predictive performance of the set of selected metabolites using a receiver operating characteristics curve and area under the curve. Participants: A total of 178 GDM cases and 180 controls participated in a pregnancy cohort study. Results: A set of 17 metabolites (linoleic acid, oleic acid, myristic acid, d-galactose, d-sorbitol, o-phosphocolamine, l-alanine, l-valine, 5-hydroxy-l-tryptophan, l-serine, sarcosine, l-pyroglutamic acid, l-mimosine, l-lactic acid, glycolic acid, fumaric acid, and urea) differentiated GDM cases from controls. Fold changes of relative abundance of these metabolites among GDM cases compared with controls ranged from 1.47 (linoleic acid) to 0.78 (5-hydroxy-l-tryptophan). Addition of these selected metabolites to a set of well-known GDM risk factors improved the area under the curve significantly from 0.71 to 0.87 (P = 3.97E-07). Conclusions: We identified combinations of metabolites in early pregnancy that are associated with subsequent risk of GDM. Replication of findings may improve understanding of GDM pathogenesis and may have implications for the design of GDM prevention and early diagnosis protocols.