ArticleDiabetologia2016
First-trimester multimarker prediction of gestational diabetes mellitus using targeted mass spectrometry.
Article in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- The effect of circulating adiponectin levels on incident gestational diabetes mellitus: systematic review and meta‑analysis.Annals of medicine · 2023Pooled it
- Association Of Blood Lipocalin-2 Levels with Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2022Pooled it
- The Lipocalin Apolipoprotein D Functional Portrait: A Systematic Review.Frontiers in physiology · 2021Pooled it
- Article
- The CKM-GDM multi-organ precision model: reframing gestational diabetes as an early cardiovascular-kidney-metabolic event in Southeast Asia.Frontiers in endocrinology · 2026Review
- Article
- A systematically investigation of plasma complement and coagulation-related proteins and adiponectin in gestational diabetes mellitus by multiple reaction monitoring technology.Acta diabetologica · 2025Article
- Associations between maternal visceral fat in mid-pregnancy and subsequent gestational diabetes mellitus in a Chinese population: a cohort study.BMC pregnancy and childbirth · 2025Article
- The cardio-metabolic protein profile is associated with development of type 2 diabetes at long term follow-up after gestational diabetes mellitus: Results from the OGFUS study.Diabetes, obesity & metabolism · 2025Article
- Maternal circulating metabolic biomarkers and their prediction performance for gestational diabetes mellitus related macrosomia.BMC pregnancy and childbirth · 2023Article
- Role of increased plasminogen activator inhibitor-1 and vitronectin in gestational diabetes mellitus.Revista da Associacao Medica Brasileira (1992) · 2023Article
- Cardiovascular Disease-Associated MicroRNAs as Novel Biomarkers of First-Trimester Screening for Gestational Diabetes Mellitus in the Absence of Other Pregnancy-Related Complications.International journal of molecular sciences · 2022Article
- Proteomics Studies in Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2022Article
- Adipose-Derived Lipid-Binding Proteins: The Good, the Bad and the Metabolic Diseases.International journal of molecular sciences · 2021Review
- Discovery of metabolic biomarkers for gestational diabetes mellitus in a Chinese population.Nutrition & metabolism · 2021Article
- Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.The Journal of clinical endocrinology and metabolism · 2021Article
- MiRNAs in Gestational Diabetes Mellitus: Potential Mechanisms and Clinical Applications.Journal of diabetes research · 2021Review
- Gas Chromatography-Mass Spectroscopy-Based Metabolomics Analysis Reveals Potential Biochemical Markers for Diagnosis of Gestational Diabetes Mellitus.Frontiers in pharmacology · 2021Article
- Molecular pathophysiology of diabetes mellitus during pregnancy with antenatal complications.Scientific reports · 2020Article
- Maternal serum level of resistin is associated with risk for gestational diabetes mellitus: A meta-analysis.World journal of clinical cases · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisGestational diabetes mellitus (GDM) is associated with an increased risk of pre-eclampsia, macrosomia and the future development of type 2 diabetes mellitus in both mother and child. Although an early and accurate prediction of GDM is needed to allow intervention and improve perinatal outcome, no single protein biomarker has yet proven useful for this purpose. In the present study, we hypothesised that multimarker panels of serum proteins can improve first-trimester prediction of GDM among obese and non-obese women compared with single markers.
methodsA nested case-control study was performed on first-trimester serum samples from 199 GDM cases and 208 controls, each divided into an obese group (BMI ≥27 kg/m(2)) and a non-obese group (BMI <27 kg/m(2)). Based on their biological relevance to GDM or type 2 diabetes mellitus or on their previously reported potential as biomarkers for these diseases, a number of proteins were selected for targeted nano-flow liquid chromatography (LC) MS analysis. This resulted in the development and validation of a 25-plex multiple reaction monitoring (MRM) MS assay.
resultsAfter false discovery rate correction, six proteins remained significantly different (p<0.05) between obese GDM patients (n=135) and BMI-matched controls (n=139). These included adiponectin, apolipoprotein M and apolipoprotein D. Multimarker models combining protein levels and clinical data were then constructed and evaluated by receiver operating characteristic (ROC) analysis. For the obese, non-obese and all GDM groups, these models achieved marginally higher AUCs compared with adiponectin alone. CONCLUSIONS/
interpretationMultimarker models combining protein markers and clinical data have the potential to predict women at a high risk of developing GDM.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.