ArticleJournal of translational medicine2020
Metabolic profiling of pre-gestational and gestational diabetes mellitus identifies novel predictors of pre-term delivery.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Systematic Review of Multi-Omics Approaches to Investigate Toxicological Effects in Macrophages.International journal of molecular sciences · 2020Pooled it
- Metabolomics of saliva, serum, and urine for pathogenesis, diagnosis, and prognosis in gestational diabetes mellitus.Nature communications · 2025Article
- Metabonomics of serum bile acids in patients with pre-eclampsia.Scientific reports · 2025Article
- Lipidomic and transcriptomic profiling reveal alterations in the coexistence of gestational diabetes mellitus and preeclampsia impacting maternal and neonatal outcomes.Scientific reports · 2025Article
- Comparison and identification of serum metabolomic profiles in Stage B and Stage C ejection fraction preserved heart failure.Frontiers in cardiovascular medicine · 2025Article
- Combining the Vaginal Microbiome and Serum Metabolome to Screen for Potential Biomarkers of Early Pregnancy in Cows.Metabolites · 2024Article
- Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review.Metabolites · 2024Review
- Prevalence and risk factors of gestational diabetes in the health region of Lleida: a retrospective observational cohort study.Journal of endocrinological investigation · 2023Observational
- Statistical methods and resources for biomarker discovery using metabolomics.BMC bioinformatics · 2023Review
- In utero metabolomic signatures of refined grain intake and risk of gestational diabetes: A metabolome-wide association study.The American journal of clinical nutrition · 2023Article
- Association between very advanced maternal age women with gestational diabetes mellitus and the risks of adverse infant outcomes: a cohort study from the NVSS 2014-2019.BMC pregnancy and childbirth · 2023Article
- Multigenerational diabetes mellitus.Frontiers in endocrinology · 2023Review
- Differential analysis of the bacterial community in colostrum samples from women with gestational diabetes mellitus and obesity.Scientific reports · 2021Article
- Placental metabolic profiling in gestational diabetes mellitus: An important role of fatty acids.Journal of clinical laboratory analysis · 2021Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPregnant women with gestational diabetes mellitus (GDM) or type 2 diabetes mellitus (T2DM) are at increased risks of pre-term labor, hypertension and preeclampsia. In this study, metabolic profiling of blood samples collected from GDM, T2DM and control pregnant women was undertaken to identify potential diagnostic biomarkers in GDM/T2DM and compared to pregnancy outcome.
methodsSixty-seven pregnant women (21 controls, 32 GDM, 14 T2DM) in their second trimester underwent targeted metabolomics of plasma samples using tandem mass spectrometry with the Biocrates MxP
resultsThe gestational age at delivery was 2 weeks earlier in T2DM compared to GDM and controls and correlated negatively with maternal HbA1C and systolic blood pressure and positively with serum albumin. Linear regression models revealed elevated glutamate and branched chain amino acids in GDM + T2DM group compared to controls. Regression models also revealed association of lower levels of triacylglycerols and diacylglycerols containing oleic and linoleic fatty acids with pre-term delivery. A generalized linear model ROC analyses revealed that that glutamate is the best predictors of GDM compared to controls (area under curve; AUC = 0.81). The model also revealed that phosphatidylcholine diacyl C40:2, arachidonic acid, glycochenodeoxycholic acid, and phosphatidylcholine acyl-alkyl C34:3 are the best predictors of GDM + T2DM compared to controls (AUC = 0.90). The model also revealed that the triacylglycerols C17:2/36:4 and C18:1/34:1 are the best predictors of pre-term delivery (≤ 37 weeks) (AUC = 0.84).
conclusionsThis study highlights the metabolite alterations in women in their second trimester with diabetes mellitus and identifies predictive indicators of pre-term delivery. Future studies to confirm these associations in other cohorts and investigate their functional relevance and potential utilization for targeted therapies are warranted.
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