ArticleBMC medicine2013
Integrating multiple 'omics' analyses identifies serological protein biomarkers for preeclampsia.
Article in BMC medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- Epigenetic landscape of placental tissue in preeclampsia: a systematic review of DNA methylation profiles.BMC pregnancy and childbirth · 2025Pooled it
- Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.Briefings in bioinformatics · 2021Pooled it
- Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence.Journal of pharmacokinetics and pharmacodynamics · 2020Pooled it
- A review of omics approaches to study preeclampsia.Placenta · 2020Pooled it
- Machine Learning and Blood-Targeted Proteomics Enable Early Prediction and Etiological Discrimination of Hypertensive Pregnancy Disorders.International journal of molecular sciences · 2026Article
- Proteome-Based Maternal Plasma and Serum Biomarkers for Preeclampsia: A Systematic Review and Meta-Analysis.Life (Basel, Switzerland) · 2025Review
- Preeclampsia prediction and diagnosis: a comprehensive historical review from clinical insights to omics perspectives.Frontiers in medicine · 2025Review
- Placenta: an old organ with new functions.Frontiers in immunology · 2024Review
- Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data.NPJ digital medicine · 2022Article
- Gestational Dating by Urine Metabolic Profile at High Resolution Weekly Sampling Timepoints: Discovery and Validation.Frontiers in molecular medicine · 2022Article
- A comprehensive analysis of metabolomics and transcriptomics to reveal major metabolic pathways and potential biomarkers of human preeclampsia placenta.Frontiers in genetics · 2022Article
- Blood biomarkers representing maternal-fetal interface tissues used to predict early-and late-onset preeclampsia but not COVID-19 infection.Computational and structural biotechnology journal · 2022Article
- Early-pregnancy prediction of risk for pre-eclampsia using maternal blood leptin/ceramide ratio: discovery and confirmation.BMJ open · 2021Article
- [Clinical features of very preterm small-for-gestational-age infants born due to severe preeclampsia].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021Article
- Complement and coagulation cascades activation is the main pathophysiological pathway in early-onset severe preeclampsia revealed by maternal proteomics.Scientific reports · 2021Article
- Early-pregnancy transcriptome signatures of preeclampsia: from peripheral blood to placenta.Scientific reports · 2020Article
- Changes in pregnancy-related serum biomarkers early in gestation are associated with later development of preeclampsia.PloS one · 2020Article
- Comparative Analysis of the Transcriptome and Proteome during Mouse Placental Development.Journal of proteome research · 2019Article
- Open data informatics and data repurposing for IBD.Nature reviews. Gastroenterology & hepatology · 2018Article
- Integrated Systems Biology Approach Identifies Novel Maternal and Placental Pathways of Preeclampsia.Frontiers in immunology · 2018Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPreeclampsia (PE) is a pregnancy-related vascular disorder which is the leading cause of maternal morbidity and mortality. We sought to identify novel serological protein markers to diagnose PE with a multi-'omics' based discovery approach.
methodsSeven previous placental expression studies were combined for a multiplex analysis, and in parallel, two-dimensional gel electrophoresis was performed to compare serum proteomes in PE and control subjects. The combined biomarker candidates were validated with available ELISA assays using gestational age-matched PE (n=32) and control (n=32) samples. With the validated biomarkers, a genetic algorithm was then used to construct and optimize biomarker panels in PE assessment.
resultsIn addition to the previously identified biomarkers, the angiogenic and antiangiogenic factors (soluble fms-like tyrosine kinase (sFlt-1) and placental growth factor (PIGF)), we found 3 up-regulated and 6 down-regulated biomakers in PE sera. Two optimal biomarker panels were developed for early and late onset PE assessment, respectively.
conclusionsBoth early and late onset PE diagnostic panels, constructed with our PE biomarkers, were superior over sFlt-1/PIGF ratio in PE discrimination. The functional significance of these PE biomarkers and their associated pathways were analyzed which may provide new insights into the pathogenesis of PE.
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