Frontiers in Endocrinology · 2022 · 17 citations · 24 references
MedicineEndocrinologyObstetricsGestational DiabetesHigh-risk PregnancyMaternal NutritionAmino Acid CompositionGestational Diabetes MellitusGestational Diabetes Risk AssessmentPregnancyPregnancy EndocrinologyPrenatal Risk AssessmentAmino AcidsBiochemical Marker AssessmentBranched-chain Amino Acid MetabolismBranched-chain Amino AcidsEarly Detection BiomarkersEarly Pregnancy Risk ScreeningLiquid Chromatography-mass SpectrometryLiquid Chromatography-mass Spectrometry Analysis
Objective: Branched-chain amino acids (BCAAs) are closely associated with type 2 diabetes mellitus, but their roles in gestational diabetes mellitus (GDM) are still controversial. This study aims to explore the dynamic changes of BCAAs during pregnancy and identify potential early biomarkers for GDM. Methods: This study is a nested case-control study involved 49 women with GDM and 50 age- and body mass index (BMI)-matched healthy pregnant women. The dynamic changes of valine (Val), isoleucine (Ile), and leucine (Leu) were detected in the first (8-12 weeks) and second trimesters (24-28 weeks) by liquid chromatography-mass spectrometry. Results: Serum Val, Ile, and Leu were higher in GDM patients than in controls in the first trimester. Compared with the first trimester, the serum Val, Ile, and Leu in GDM patients were decreased in the second trimester. In addition, Val, Ile, and Leu in the first trimester were the risk factors for GDM, and Ile presented a high predictive value for GDM. Ile + age (≥ 35) + BMI (≥ 24) exhibited the highest predictive value for GDM (AUC = 0.902, sensitivity = 93.9%, specificity = 80%). Conclusion: Maternal serum Ile in the first trimester was a valuable biomarker for GDM. Ile combined with advanced maternal age and overweight may be used for the early prediction of GDM.
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Metabolite profiles and the risk of developing diabetes
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