ArticleMetabolomics : Official journal of the Metabolomic Society2017
Integration of metabolomic and transcriptomic networks in pregnant women reveals biological pathways and predictive signatures associated with preeclampsia.
Article in Metabolomics : Official journal of the Metabolomic Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.
- Investigating genetic links between blood metabolites and preeclampsia.BMC women's health · 2024Pooled it
- Procalcitonin metabolomics in the critically ill reveal relationships between inflammation intensity and energy utilization pathways.Scientific reports · 2021Trial
- Metabolomic profiling of lung function in Costa-Rican children with asthma.Biochimica et biophysica acta. Molecular basis of disease · 2017Trial
- OMICmAge quantifies biological age by integrating multi-omics with electronic medical records.Nature aging · 2026Article
- Application of Multiomics in Perinatology: A Metabolomics Integration-Focused Review.International journal of molecular sciences · 2025Review
- BMI modifies the effect of pregnancy complications on risk of small- or large-for-gestational-age newborns.Pediatric research · 2025Article
- Immunomodulatory metabolites in IgE-mediated food allergy and oral immunotherapy outcomes based on metabolomic profiling.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2024Article
- Metabolic theory of preeclampsia: implications for maternal cardiovascular health.American journal of physiology. Heart and circulatory physiology · 2024Review
- OMICmAge: An integrative multi-omics approach to quantify biological age with electronic medical records.bioRxiv : the preprint server for 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
- Article
- High-resolution metabolomics of exposure to tobacco smoke during pregnancy and adverse birth outcomes in the Atlanta African American maternal-child cohort.Environmental pollution (Barking, Essex : 1987) · 2022Article
- A comprehensive analysis of metabolomics and transcriptomics to reveal major metabolic pathways and potential biomarkers of human preeclampsia placenta.Frontiers in genetics · 2022Article
- Identification of Biomarkers for Preeclampsia Based on Metabolomics.Clinical epidemiology · 2022Review
- Early-pregnancy prediction of risk for pre-eclampsia using maternal blood leptin/ceramide ratio: discovery and confirmation.BMJ open · 2021Article
- Longitudinal Metabolic Profiling of Maternal Obesity, Gestational Diabetes, and Hypertensive Pregnancy Disorders.The Journal of clinical endocrinology and metabolism · 2021Article
- C1431T Variant of PPARγ Is Associated with Preeclampsia in Pregnant Women.Life (Basel, Switzerland) · 2021Article
- Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study.Science immunology · 2021Article
- Serum lncRNAs in early pregnancy as potential biomarkers for the prediction of pregnancy-induced hypertension, including preeclampsia.Molecular therapy. Nucleic acids · 2021Article
Corrections and comments
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Authors and funding
17 authors at 3 institutions in 1 country.
Funding
Abstract
introductionPreeclampsia is a leading cause of maternal and fetal mortality worldwide, yet its exact pathogenesis remains elusive.
objectivesThis study, nested within the Vitamin D Antenatal Asthma Reduction Trial (VDAART), aimed to develop integrated omics models of preeclampsia that have utility in both prediction and in the elucidation of underlying biological mechanisms.
methodsMetabolomic profiling was performed on first trimester plasma samples of 47 pregnant women from VDAART who subsequently developed preeclampsia and 62 controls with healthy pregnancies, using liquid-chromatography tandem mass-spectrometry. Metabolomic profiles were generated based on logistic regression models and assessed using Received Operator Characteristic Curve analysis. These profiles were compared to profiles from generated using third trimester samples. The first trimester metabolite profile was then integrated with a pre-existing transcriptomic profile using network methods.
resultsIn total, 72 (0.9%) metabolite features were associated (p<0.01) with preeclampsia after adjustment for maternal age, race, and gestational age. These features had moderate to good discriminatory ability; in ROC curve analyses a summary score based on these features displayed an area under the curve (AUC) of 0.794 (95%CI 0.700, 0.888). This profile retained the ability to distinguish preeclamptic from healthy pregnancies in the third trimester (AUC:0.762 (95% CI 0.663, 0.860)). Additionally, metabolite set enrichment analysis identified common pathways, including glycerophospholipid metabolism, at the two time-points. Integration with the transcriptomic signature refined these results suggesting a particular role for lipid imbalance, immune function and the circulatory system.
conclusionsThese findings suggest it is possible to develop a predictive metabolomic profile of preeclampsia. This profile is characterized by changes in lipid and amino acid metabolism and dysregulation of immune response and can be refined through interaction with transcriptomic data. However validation in larger and more diverse populations is required.
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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.