ArticleFrontiers in physiology2022
Integrated Metabolomic and Lipidomic Analysis in the Placenta of Preeclampsia.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 66 citations in OpenAlex.
- Exploring cardiometabolic markers in adverse pregnancy outcomes: insights from the GROWell study.Research square · 2026Article
- Phenotypic subclassification of preeclampsia through cluster analysis of preterm birth-related factors.BMC medical informatics and decision making · 2026Article
- The impact and mechanisms of preeclampsia on offspring neurodevelopment.Cell & bioscience · 2026Review
- Article
- Integrating urine metabolomic biomarkers and machine learning algorithms to predict preeclampsia.European journal of medical research · 2025Article
- The Role of Ferroptosis in Women's Health and Diseases.MedComm · 2025Review
- Lipid metabolism dysregulation in umbilical cord plasma of newborns from mothers with preeclampsia is associated with neonatal physical parameters at birth.BMC pediatrics · 2025Article
- Advanced multi-modal mass spectrometry imaging reveals functional differences of placental villous compartments at microscale resolution.Nature communications · 2025Article
- Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients.Scientific reports · 2025Article
- Metabolic disorder of nutrients-an emerging field in the pathogenesis of preeclampsia.Frontiers in nutrition · 2025Review
- Molecular signatures of preeclampsia subtypes determined through integrated weighted gene co-expression network analysis and differential gene expression analysis of placental transcriptomics.Frontiers in cell and developmental biology · 2025Article
- Spatial metabolomics and transcriptomics reveal cell type-specific dynamics in the placenta of patients with late-onset preeclampsia.Frontiers in cell and developmental biology · 2025Article
- Preeclampsia prediction and diagnosis: a comprehensive historical review from clinical insights to omics perspectives.Frontiers in medicine · 2025Review
- Tracing the Lipid Fingerprints of Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2025Review
- Maternal Serum Metabolomics in Mid-Pregnancy Identifies Lipid Pathways as a Key Link to Offspring Obesity in Early Childhood.International journal of molecular sciences · 2024Article
- Lipidomic signatures in patients with early-onset and late-onset Preeclampsia.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Predicting the onset of preeclampsia by longitudinal monitoring of metabolic changes throughout pregnancy with Raman spectroscopy.Bioengineering & translational medicine · 2024Article
- LC-MS/MS untargeted lipidomics uncovers placenta lipid signatures from intrahepatic cholestasis of pregnancy.Frontiers in physiology · 2024Article
- Decreased Fatty Acid Oxidation Gene Expression in Pre-Eclampsia According to the Onset and Presence of Intrauterine Growth Restriction.Nutrients · 2023Article
- Chewing the fat: How lipidomics is changing our understanding of human health and disease in 2022.Analytical science advances · 2023Review
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preeclampsia is one of the most common severe pregnancy complications in obstetrics, which is considered a placental source disease. However, the mechanisms underlying preeclampsia remain largely unknown. In this study, UPLC-MS/MS-based metabolomic and lipidomic analysis was used to explore the characteristic placental metabolites in preeclampsia. The results revealed that there were significant changes in metabolites between preeclampsia and normotensive placentas. Weighted correlation network analysis (WGCNA) identified the correlation network module of metabolites highly related to preeclampsia and the clinical traits reflecting disease severity. The metabolic perturbations were primarily associated with glycerophospholipid and glutathione metabolism, which might influent membrane structures of organisms and mitochondria function. Using linear models, three metabolites had an area under receiver operating characteristic curves (AUROC) ≥ 0.80 and three lipids had an AUROC ≥ 0.90. Therefore, metabolomics and lipidomics may offer a novel insight for a better understanding of preeclampsia and provide a useful molecular mechanism underlying preeclampsia.
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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.