ArticleInternational journal of molecular sciences2015
First Trimester Urine and Serum Metabolomics for Prediction of Preeclampsia and Gestational Hypertension: A Prospective Screening Study.
Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Untargeted metabolomics for the early detection of preeclampsia: A systematic review of human studies.PloS one · 2026Pooled it
- Investigating genetic links between blood metabolites and preeclampsia.BMC women's health · 2024Pooled it
- A review of omics approaches to study preeclampsia.Placenta · 2020Pooled it
- Metabolic consequences of perioperative oral carbohydrates in breast cancer patients - an explorative study.BMC cancer · 2019Trial
- Trial
- First-trimester plasma targeted metabolomics for eicosanoids reveals predictive potential and preventive targets for severe preeclampsia: a nested case-control study.BMC pregnancy and childbirth · 2026Article
- Serum metabolomics in early pregnancy differentiates between gestational hypertension and preeclampsia.BMC pregnancy and childbirth · 2026Article
- Amino Acid Restriction Impairs Human Endometrial Stromal Cell Decidualization and Is Rescued by Proline Supplementation.Journal of cellular and molecular medicine · 2025Article
- Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients.Scientific reports · 2025Article
- Tracing the Lipid Fingerprints of Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2025Review
- Identification of genes involved in energy metabolism in preeclampsia and discovery of early biomarkers.Frontiers in immunology · 2025Article
- Relationship between the concentration of ergothioneine in plasma and the likelihood of developing pre-eclampsia.Bioscience reports · 2023Article
- Discovery of novel metabolic signatures for early identification of women at risk of developing gestational hypertension.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- First-trimester urinary extracellular vesicles as predictors of preterm birth: an insight into immune programming.Frontiers in cell and developmental biology · 2023Article
- Early prediction and longitudinal modeling of preeclampsia from multiomics.Patterns (New York, N.Y.) · 2022Article
- Associations of Early Pregnancy Metabolite Profiles with Gestational Blood Pressure Development.Metabolites · 2022Article
- Postpartum Assessment of the Correlation between Serum Hormone Levels of Estradiol, Progesterone, Prolactin and ß-HCG and Blood Pressure Measurements in Pre-Eclampsia Patients.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- Elevated mid-trimester 4-h postprandial triglycerides for predicting late-onset preeclampsia: a prospective screening study.Journal of translational medicine · 2022Article
- Analysis of serum fatty acid, amino acid, and organic acid profiles in gestational hypertension and gestational diabetes mellitusFrontiers in nutrition · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypertensive disorders of pregnancy, including preeclampsia, are major contributors to maternal morbidity. The goal of this study was to evaluate the potential of metabolomics to predict preeclampsia and gestational hypertension from urine and serum samples in early pregnancy, and elucidate the metabolic changes related to the diseases. Metabolic profiles were obtained by nuclear magnetic resonance spectroscopy of serum and urine samples from 599 women at medium to high risk of preeclampsia (nulliparous or previous preeclampsia/gestational hypertension). Preeclampsia developed in 26 (4.3%) and gestational hypertension in 21 (3.5%) women. Multivariate analyses of the metabolic profiles were performed to establish prediction models for the hypertensive disorders individually and combined. Urinary metabolomic profiles predicted preeclampsia and gestational hypertension at 51.3% and 40% sensitivity, respectively, at 10% false positive rate, with hippurate as the most important metabolite for the prediction. Serum metabolomic profiles predicted preeclampsia and gestational hypertension at 15% and 33% sensitivity, respectively, with increased lipid levels and an atherogenic lipid profile as most important for the prediction. Combining maternal characteristics with the urinary hippurate/creatinine level improved the prediction rates of preeclampsia in a logistic regression model. The study indicates a potential future role of clinical importance for metabolomic analysis of urine in prediction of preeclampsia.
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