ArticleBMC pregnancy and childbirth2022
The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine.
Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 16 citations in OpenAlex.
- Association between Lipid Profile, Anthropometric Parameters, and Gestational Diabetes Mellitus: A cross-sectional analysis of NHANES 2015-2023.Pakistan journal of medical sciences · 2026Article
- Comparative metabolomic profiling reveals distinct metabolic signatures in amniotic fluid and umbilical cord blood between advanced and young maternal age pregnancies.BMC pregnancy and childbirth · 2025Article
- The role of lipid dysregulation in gestational diabetes mellitus: Early prediction and postpartum prognosis.Journal of diabetes investigation · 2024Review
- An early prediction model for gestational diabetes mellitus based on metabolomic biomarkers.Diabetology & metabolic syndrome · 2023Article
- Predictive Gestational Diabetes Biomarkers With Sustained Alterations Throughout Pregnancy.Journal of the Endocrine Society · 2022Review
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Authors and funding
14 authors at 6 institutions in 4 countries.
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Abstract
backgroundGestational diabetes mellitus (GDM) is defined as impaired glucose tolerance in pregnancy and without a history of diabetes mellitus. While there are limited metabolomic studies involving advanced maternal age in China, we aim to investigate the metabolomic profiling of plasma and urine in pregnancies complicated with GDM aged at 35-40 years at early and late gestation.
methodsTwenty normal and 20 GDM pregnant participants (≥ 35 years old) were enlisted from the Complex Lipids in Mothers and Babies (CLIMB) study. Maternal plasma and urine collected at the first and third trimester were detected using gas chromatography-mass spectrometry (GC-MS).
resultsOne hundred sixty-five metabolites and 192 metabolites were found in plasma and urine respectively. Urine metabolomic profiles were incapable to distinguish GDM from controls, in comparison, there were 14 and 39 significantly different plasma metabolites between the two groups in first and third trimester respectively. Especially, by integrating seven metabolites including cysteine, malonic acid, alanine, 11,14-eicosadienoic acid, stearic acid, arachidic acid, and 2-methyloctadecanoic acid using multivariant receiver operating characteristic models, we were capable of discriminating GDM from normal pregnancies with an area under curve of 0.928 at first trimester.
conclusionThis study explores metabolomic profiles between GDM and normal pregnancies at the age of 35-40 years longitudinally. Several compounds have the potential to be biomarkers to predict GDM with advanced maternal age. Moreover, the discordant metabolome profiles between the two groups could be useful to understand the etiology of GDM with advanced maternal age.
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