SynthesisPlacenta2020
A review of omics approaches to study preeclampsia.
Synthesis in Placenta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed, 84 citations in OpenAlex.
- Second-trimester multimetabolite panel for early preeclampsia rule-out.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Eclampsia risk prediction across diverse U.S. populations using CDC data: machine learning versus ACOG checklists.AJOG global reports · 2026Article
- Cord blood DNA methylation and cell-type composition are not significantly associated with severe preeclampsia after cell-type and clinical covariate adjustment.GigaScience · 2026Article
- Expert consensus on pre-eclampsia risk screening tools for low- and middle-income countries: Development of a new Target Product Profile.PLOS global public health · 2026Article
- Genetic factors in the risk assessment of preeclampsia: a review of recent findings.Molecular biology reports · 2025Review
- CPMOAD: comprehensive preeclampsia multi-omics analysis database.Journal of translational medicine · 2025Article
- Cell type proportions rather than DNA methylation in the cord blood show significant associations with severe preeclampsia.medRxiv : the preprint server for health sciences · 2025Article
- Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest model.BMC pregnancy and childbirth · 2025Article
- Predicting interval from diagnosis to delivery in preeclampsia using electronic health records.Nature communications · 2025Article
- Preeclampsia prediction and diagnosis: a comprehensive historical review from clinical insights to omics perspectives.Frontiers in medicine · 2025Review
- Article
- Discover overlooked complications after preeclampsia from three real-world medical record datasets of over 100,000 pregnancies.medRxiv : the preprint server for health sciences · 2024Article
- Construction of a pathway-level model for preeclampsia based on gene expression data.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- Placental Origins of Preeclampsia: Insights from Multi-Omic Studies.International journal of molecular sciences · 2024Review
- Five-Feature Models to Predict Preeclampsia Onset Time From Electronic Health Record Data: Development and Validation Study.Journal of medical Internet research · 2024Article
- Metabolomic prediction of severe maternal and newborn complications in preeclampsia.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Discover overlooked complications after preeclampsia using electronic health records.Research square · 2024Article
- An update review of the application of single-cell RNA sequencing in pregnancy-related diseases.Frontiers in endocrinology · 2024Review
- Placental transcriptome analysis of hypertensive pregnancies identifies distinct gene expression profiles of preeclampsia superimposed on chronic hypertension.BMC medical genomics · 2023Article
- A cross-sectional analysis of syncytiotrophoblast membrane extracellular vesicles-derived transcriptomic biomarkers in early-onset preeclampsia.Frontiers in cardiovascular medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Preeclampsia is a medical condition affecting 5-10% of pregnancies. It has serious effects on the health of the pregnant mother and developing fetus. While possible causes of preeclampsia are speculated, there is no consensus on its etiology. The advancement of big data and high-throughput technologies enables to study preeclampsia at the new and systematic level. In this review, we first highlight the recent progress made in the field of preeclampsia research using various omics technology platforms, including epigenetics, genome-wide association studies (GWAS), transcriptomics, proteomics and metabolomics. Next, we integrate the results in individual omic level studies, and show that despite the lack of coherent biomarkers in all omics studies, inhibin is a potential preeclamptic biomarker supported by GWAS, transcriptomics and DNA methylation evidence. Using network analysis on the biomarkers of all the literature reviewed here, we identify four striking sub-networks with clear biological functions supported by previous molecular-biology and clinical observations. In summary, omics integration approach offers the promise to understand molecular mechanisms in preeclampsia.
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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.