ArticleMetabolites2021
Do Mass Spectrometry-Derived Metabolomics Improve the Prediction of Pregnancy-Related Disorders? Findings from a UK Birth Cohort with Independent Validation.
Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study.BMC medicine · 2023Pooled it
- A metabolomic signature of maternal BMI is associated with pregnancy complications across two independent pregnancy cohorts.Communications medicine · 2025Article
- Social inequalities in pregnancy metabolic profile: findings from the multi-ethnic Born in Bradford cohort study.BMC pregnancy and childbirth · 2024Article
- Association between fetal abdominal growth trajectories, maternal metabolite signatures early in pregnancy, and childhood growth and adiposity: prospective observational multinational INTERBIO-21st fetal study.The lancet. Diabetes & endocrinology · 2022Observational
- The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses.Journal of cardiovascular development and disease · 2022Article
- Metabolomic Identification of a Novel, Externally Validated Predictive Test for Gestational Diabetes Mellitus.The Journal of clinical endocrinology and metabolism · 2022Article
- Clinical tools and biomarkers to predict preeclampsia.EBioMedicine · 2022Review
- Identification of Biomarkers for Preeclampsia Based on Metabolomics.Clinical epidemiology · 2022Review
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Many women who experience gestational diabetes (GDM), gestational hypertension (GHT), pre-eclampsia (PE), have a spontaneous preterm birth (sPTB) or have an offspring born small/large for gestational age (SGA/LGA) do not meet the criteria for high-risk pregnancies based upon certain maternal risk factors. Tools that better predict these outcomes are needed to tailor antenatal care to risk. Recent studies have suggested that metabolomics may improve the prediction of these pregnancy-related disorders. These have largely been based on targeted platforms or focused on a single pregnancy outcome. The aim of this study was to assess the predictive ability of an untargeted platform of over 700 metabolites to predict the above pregnancy-related disorders in two cohorts. We used data collected from women in the Born in Bradford study (BiB; two sub-samples,
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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.