ArticleDiabetes2016
A Predictive Metabolic Signature for the Transition From Gestational Diabetes Mellitus to Type 2 Diabetes.
Article in Diabetes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 98 papers, 8 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
SWIFT: Study of Women, Infant Feeding and Type 2 Diabetes After GDM Pregnancy
Exploring Nutritype Signature of Type 2 Diabetes Risks in Women Post-Gestational Diabetes Mellitus
Who cites it
98 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Prediction Models for Maternal and Offspring Short- and Long-Term Outcomes Following Gestational Diabetes: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis.BMC medical informatics and decision making · 2025Pooled it
- Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review.Current diabetes reports · 2023Pooled it
- Serum acylcarnitines levels as a potential predictor for gestational diabetes: a systematic review and meta-analysis.Frontiers in public health · 2023Pooled it
- Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta-analysis.Journal of diabetes investigation · 2022Pooled it
- Characteristics of the gut microbiome in women with gestational diabetes mellitus: A systematic review.PloS one · 2022Pooled it
- Circulating chemerin levels and gestational diabetes mellitus: a systematic review and meta-analysis.Lipids in health and disease · 2018Pooled it
- Shared mechanisms of musculoskeletal dysfunction in type 2 diabetes mellitus: Insights into future therapeutic directions (Review).International journal of molecular medicine · 2026Review
- Metabolite Signatures in Postpartum Prediabetes and Diabetes Among Indian Women With Prior Gestational Diabetes Mellitus: Insights From CHIP-F Study.Diabetes/metabolism research and reviews · 2026Article
- A three-metabolite microbiota-associated signature for early risk stratification of gestational diabetes mellitus.Cardiovascular diabetology · 2026Article
- Type 2 diabetes prevention across the life course.Nature medicine · 2026Review
- Lipidomic signatures in gestational diabetes mellitus and postpartum type 2 diabetes mellitus: a narrative review of etiologic and predictive implications.EBioMedicine · 2026Review
- Galacto-oligosaccharides enrich galactosidase-encoded rather than all Lachnospiraceae bacteria to redress abnormal gut microbiota and lipid metabolism in pregnancy.Science China. Life sciences · 2026Article
- Prognostic biomarkers of future diabetes in South Asian women diagnosed with gestational diabetes: a prospective cohort study.BMC endocrine disorders · 2026Article
- Emerging Insights into the Liver-Pancreas Axis: A Central Hub in the Pathogenesis of Diabetes and Metabolic Diseases.Biomolecules · 2026Review
- Traditional statistics and artificial intelligence-based prognostic models for predicting type 2 diabetes mellitus after gestational diabetes: a systematic review.Diagnostic and prognostic research · 2026Review
- Maternal BCAA overnutrition programs persistent dysglycemia in lean adult offspring.Molecular metabolism · 2026Article
- Chemerin Normal Function and Roles in Metabolic and Nonmetabolic Disorders: An Up-To-Date Comprehensive Review.Biochemistry research international · 2026Review
- Risk factors for gestational diabetes mellitus and postpartum glucose intolerance: a retrospective study from a hospital specializing in infertility treatment.Scientific reports · 2025Article
38 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Gestational diabetes mellitus (GDM) affects 3-14% of pregnancies, with 20-50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study sought to develop a metabolomics signature to predict the transition from GDM to T2D. A prospective cohort of 1,035 women with GDM pregnancy were enrolled at 6-9 weeks postpartum (baseline) and were screened for T2D annually for 2 years. Of 1,010 women without T2D at baseline, 113 progressed to T2D within 2 years. T2D developed in another 17 women between 2 and 4 years. A nested case-control design used 122 incident case patients matched to non-case patients by age, prepregnancy BMI, and race/ethnicity. We conducted metabolomics with baseline fasting plasma and identified 21 metabolites that significantly differed by incident T2D status. Machine learning optimization resulted in a decision tree modeling that predicted T2D incidence with a discriminative power of 83.0% in the training set and 76.9% in an independent testing set, which is far superior to measuring fasting plasma glucose levels alone. The American Diabetes Association recommends T2D screening in the early postpartum period via oral glucose tolerance testing after GDM, which is a time-consuming and inconvenient procedure. Our metabolomics signature predicted T2D incidence from a single fasting blood sample. This study represents the first metabolomics study of the transition from GDM to T2D validated in an independent testing set, facilitating early interventions.
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Registered trials
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.