A1 Journal article – refereed

Distinct Metabolic Profile in Early Pregnancy of Overweight and Obese Women Developing Gestational Diabetes

List of Authors: Kati Mokkala, Tero Vahlberg, Outi Pellonperä, Noora Houttu, Ella Koivuniemi, Kirsi Laitinen

Publisher: Oxford University Press

Publication year: 2020

Journal: Journal of Nutrition

Journal name in source: The Journal of nutrition

Journal acronym: J Nutr

Volume number: 150

Issue number: 1

Number of pages: 7

ISSN: 0022-3166

eISSN: 1541-6100

DOI: http://dx.doi.org/10.1093/jn/nxz220

Reliable biomarkers for gestational diabetes mellitus (GDM) would be beneficial in the early prevention of adverse metabolic outcomes during pregnancy and beyond.\nThe objective of this study was to investigate whether the early pregnancy serum metabolic profile differs in women developing GDM from those remaining healthy. Furthermore, we evaluated the potential of these metabolites to act as predictive markers for GDM.\nThis was a prospective study investigating overweight and obese [prepregnancy BMI (in kg/m2) ≥25 and >30, respectively] pregnant women (prepregnancy median BMI: 28.5; IQR: 26.4-31.5; n = 357). Fasting serum samples were analyzed with a targeted NMR approach in early pregnancy (median: 14.3 weeks of gestation). GDM was diagnosed on the basis of a 2-h, 75-g oral-glucose-tolerance test at a median of 25.7 weeks of gestation.\nIn early pregnancy, 78 lipid metabolites differed in women who later developed GDM (n = 82) compared with those who remained healthy (n = 275) (ANCOVA, adjusted for confounding factors and corrected for multiple comparisons; false discovery rate <0.05). Higher concentrations of several-sized VLDL particles and medium- and small-sized HDL particles, and lower concentrations of very large-sized HDL particles, were detected in women developing GDM. Furthermore, concentrations of amino acids including 2 branched-chain amino acids, isoleucine and leucine, and GlycA, a marker for low-grade inflammation, were higher in women who developed GDM. Receiver operating characteristic analysis revealed that the most predictive marker for GDM was a higher concentration of small-sized HDL particles (AUC: 0.71; 95% CI: 0.67, 0.77; P < 0.001).\nWe identified a distinct early pregnancy metabolomic profile especially attributable to small HDL particles in women developing GDM. The aberrant metabolic profile could represent a novel way to allow early identification of this most common medical condition affecting pregnant women. This trial was registered at clinicaltrials.gov as NCT01922791.\nBACKGROUND\nOBJECTIVES\nMETHODS\nRESULTS\nCONCLUSIONS

Last updated on 2021-24-06 at 08:54