ArticleFrontiers in molecular biosciences2017
Combined Metabolomic Analysis of Plasma and Urine Reveals AHBA, Tryptophan and Serotonin Metabolism as Potential Risk Factors in Gestational Diabetes Mellitus (GDM).
Article in Frontiers in molecular biosciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 72 citations in OpenAlex.
- Machine learning and data-driven inverse modeling of metabolomics unveil key processes of active aging.NPJ systems biology and applications · 2025Trial
- The placental tryptophan pathway across gestation: implications for pregnancy outcomes.Human reproduction update · 2026Review
- Pregnancy complications affect kynurenine pathway metabolite concentrations in umbilical cord blood.Reproductive biology and endocrinology : RB&E · 2025Article
- Urinary kynurenine,tryptophan, and neopterin concentrations during physiological pregnancy.Scientific reports · 2025Article
- Article
- Advancement in predictive biomarkers for gestational diabetes mellitus diagnosis and related outcomes: a scoping review.BMJ open · 2024Article
- The Effect of Oxidative Stress and Antioxidants Treatment on Gestational Diabetes Mellitus Outcome: A Scoping Review.Cell biochemistry and biophysics · 2024Article
- The association between circulating phenylalanine and the temporal risk of impaired insulin markers in gestational diabetes mellitus.Molecular genetics and metabolism reports · 2024Article
- Enzymatic detection of α-hydroxybutyrate, an important marker of insulin resistance, and comparison with LC-MS/MS detection.Practical laboratory medicine · 2024Article
- First-trimester metabolic profiling of gestational diabetes mellitus: insights into early-onset and late-onset cases compared with healthy controls.Frontiers in molecular biosciences · 2024Article
- Serotonin and Interleukin 10 Can Influence the Blood and Urine Viscosity in Gestational Diabetes Mellitus and Pregnancy-Specific Urinary Incontinence.International journal of molecular sciences · 2023Article
- Type I Diabetes Pathoetiology and Pathophysiology: Roles of the Gut Microbiome, Pancreatic Cellular Interactions, and the 'Bystander' Activation of Memory CD8International journal of molecular sciences · 2023Review
- Biochemical and molecular biomarkers: unraveling their role in gestational diabetes mellitus.Diabetology & metabolic syndrome · 2023Review
- Tryptophan and serotonin levels as potent biomarkers in diabetes mellitus complications: a new approach of diagnostic role.Journal of diabetes and metabolic disorders · 2022Review
- A Study of the Metabolic Pathways Affected by Gestational Diabetes Mellitus: Comparison with Type 2 Diabetes.Diagnostics (Basel, Switzerland) · 2022Article
- Role of Serotonin (5-HT) in GDM Prediction Considering Islet and Liver Interplay in Prediabetic Mice during Gestation.International journal of molecular sciences · 2022Article
- Maternal and Fetal Metabolites in Gestational Diabetes Mellitus: A Narrative Review.Metabolites · 2022Review
- Article
- The Role of the Kynurenine Pathway in the (Patho) physiology of Maternal Pregnancy and Fetal Outcomes: A Systematic Review.International journal of tryptophan research : IJTR · 2022Review
- Identification of the Active Compound of Liu Wei Di Huang Wan for Treatment of Gestational Diabetes Mellitus via Network Pharmacology and Molecular Docking.Journal of diabetes research · 2022Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gestational diabetes mellitus during pregnancy has severe implications for the health of the mother and the fetus. Therefore, early prediction and an understanding of the physiology are an important part of prenatal care. Metabolite profiling is a long established method for the analysis and prediction of metabolic diseases. Here, we applied untargeted and targeted metabolomic protocols to analyze plasma and urine samples of pregnant women with and without GDM. Univariate and multivariate statistical analyses of metabolomic profiles revealed markers such as 2-hydroxybutanoic acid (AHBA), 3-hydroxybutanoic acid (BHBA), amino acids valine and alanine, the glucose-alanine-cycle, but also plant-derived compounds like sitosterin as different between control and GDM patients. PLS-DA and VIP analysis revealed tryptophan as a strong variable separating control and GDM. As tryptophan is biotransformed to serotonin we hypothesized whether serotonin metabolism might also be altered in GDM. To test this hypothesis we applied a method for the analysis of serotonin, metabolic intermediates and dopamine in urine by stable isotope dilution direct infusion electrospray ionization mass spectrometry (SID-MS). Indeed, serotonin and related metabolites differ significantly between control and GDM patients confirming the involvement of serotonin metabolism in GDM. Clustered correlation coefficient visualization of metabolite correlation networks revealed the different metabolic signatures between control and GDM patients. Eventually, the combination of selected blood plasma and urine sample metabolites improved the AUC prediction accuracy to 0.99. The detected GDM candidate biomarkers and the related systemic metabolic signatures are discussed in their pathophysiological context. Further studies with larger cohorts are necessary to underpin these observations.
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