ArticleClinical epigenetics2018
Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia.
Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.
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Who cites it
60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- Meta-analysis examining fetal sex-specific placental DNA methylation intensities and estimated cell composition post IVF.Molecular human reproduction · 2025Pooled it
- Current approaches and developments in transcript profiling of the human placenta.Human reproduction update · 2020Pooled it
- A review of omics approaches to study preeclampsia.Placenta · 2020Pooled it
- Placental molecular subtypes of severe preeclampsia reveal divergent aging trajectories and fetal growth outcomes.medRxiv : the preprint server for health sciences · 2026Article
- Large-Scale Proteomics Reveals New Candidate Biomarkers for Late-Onset Preeclampsia.Hypertension (Dallas, Tex. : 1979) · 2026Article
- Integrative Analysis of Placental Methylomes Identifies Epigenetically Regulated Genes Implicated in Fetal Growth Restriction.International journal of molecular sciences · 2026Article
- Integrated bioinformatics and single-cell transcriptomics identify mitochondrial dysfunction-driven biomarkers for preeclampsia diagnosis.Frontiers in molecular biosciences · 2026Article
- Article
- A placental DNA methylation score associated with early-onset preeclampsia and maternal vascular malperfusion pathology.Frontiers in epigenetics and epigenomics · 2026Article
- Role of epigenetic markers in cardiovascular disease following hypertensive disorders of pregnancy.Epigenomics · 2025Review
- Adverse neonatal outcomes are associated with a sex-specific placental inflammatory profile†.Biology of reproduction · 2025Article
- AttBiomarker: unveiling preeclampsia biomarkers and molecular pathways through two-stage gene selection techniques and attention-based CNN with gene regulatory network analysis.Briefings in bioinformatics · 2025Article
- Placental epigenetic clocks derived from crowdsourcing: Implications for the study of accelerated aging in obstetrics.iScience · 2025Article
- Deciphering the Molecular Dialogue: Mitochondria, Epigenetics, and Extracellular Vesicles in Placental Function and Pregnancy Complications.Comprehensive Physiology · 2025Review
- Extracellular Vesicles Alter Trophoblast Function in Pregnancies Complicated by COVID-19.Journal of extracellular vesicles · 2025Article
- An assessment of organophosphate ester mixtures and the placental transcriptome.Environment international · 2025Article
- High rates of placental inflammation among samples collected by the Multi-Omics for Mothers and Infants consortium.American journal of obstetrics and gynecology · 2025Article
- Article
- Epigenome-wide association study of placental co-methylated regions in newborns for prenatal opioid exposure.Environmental epigenetics · 2025Article
- Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
Background: Preeclampsia (PE) is a heterogeneous, hypertensive disorder of pregnancy, with no robust biomarkers or effective treatments. We hypothesized that this heterogeneity is due to the existence of multiple subtypes of PE and, in support of this hypothesis, we recently identified five clusters of placentas within a large gene expression microarray dataset ( Results: We subjected 48 of our samples from transcriptional clusters 1, 2, 3, and 5 to Infinium HumanMethylation450 arrays. Samples belonging to transcriptional clusters 1-3 still showed visible relationships to each other by methylation, but cluster 5, with known chromosomal abnormalities, no longer formed a cohesive group. Within transcriptional clusters 2 and 3, controlling for fetal sex and gestational age in the identification of differentially methylated sites, compared to the healthier cluster 1, dramatically reduced the number of significant sites, but increased the percentage that demonstrated a strong linear correlation with gene expression (from 5% and 2% to 9% and 8%, respectively). Locations exhibiting a positive relationship between methylation and gene expression were most frequently found in CpG open sea enhancer regions within the gene body, while those with a significant negative correlation were often annotated to the promoter in a CpG shore region. Integrated transcriptome and epigenome analysis revealed modifications in TGF-beta signaling, cell adhesion, oxidative phosphorylation, and metabolism pathways in cluster 2 placentas, and aberrations in antigen presentation, allograft rejection, and cytokine-cytokine receptor interaction in cluster 3 samples. Conclusions: Overall, we have established DNA methylation alterations underlying a portion of the transcriptional development of "canonical" PE in cluster 2 and "immunological" PE in cluster 3. However, a significant number of the observed methylation changes were not associated with corresponding changes in gene expression, and vice versa, indicating that alternate methods of gene regulation will need to be explored to fully comprehend these PE subtypes.
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