Evidence map›Paper›PMID 39695764›Full record

ArticleClinical epigenetics2024

Advancing diagnosis and early risk assessment of preeclampsia through noninvasive cell-free DNA methylation profiling.

Machteld Baetens, Bram Van Gaever, Stephanie Deblaere, Andries De Koker, Leander Meuris, Nico Callewaert, Sandra Janssens, Kristien Roelens, Ellen Roets, Jo Van Dorpe and 2 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2024. 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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Trophoblast adaptation to hypoxia: balance and dysfunction.Cell communication and signaling : CCS · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Machteld Baetens *Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium. Machteld.baetens@uzgent.be.
Bram Van Gaever *Department of Pathology, Ghent University, Ghent, Belgium.
Stephanie DeblaereDepartment of Obstetrics and Gynaecology, Ghent University Hospital, Ghent, Belgium.
Andries De KokerCenter for Medical Biotechnology, VIB, Ghent, Belgium.
Leander MeurisCenter for Medical Biotechnology, VIB, Ghent, Belgium.
Nico CallewaertCenter for Medical Biotechnology, VIB, Ghent, Belgium.
Sandra JanssensCenter for Medical Genetics, Ghent University Hospital, Ghent, Belgium.
Kristien RoelensDepartment of Obstetrics and Gynaecology, Ghent University Hospital, Ghent, Belgium.
Ellen RoetsDepartment of Obstetrics and Gynaecology, Ghent University Hospital, Ghent, Belgium.
Jo Van DorpeDepartment of Pathology, Ghent University, Ghent, Belgium.
Isabelle Dehaene *Department of Obstetrics and Gynaecology, Ghent University Hospital, Ghent, Belgium.
Björn Menten *Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAberrant embryo implantation and suboptimal placentation can lead to (severe) complications such as preeclampsia and fetal growth restriction later in pregnancy. Current identification of high-risk pregnancies relies on a combination of risk factors, biomarkers, and ultrasound examinations, a relatively inaccurate approach. Previously, aberrant DNA methylation due to placental hypoxia has been identified as a potential marker of placental insufficiency and, hence, potential (future) pregnancy complications. The goal of the Early Prediction of prEgnancy Complications Testing, or the ExPECT study, is to validate a genome-wide, cell-free DNA (cfDNA) methylation strategy to diagnose preeclampsia accurately. More importantly, the predictive potential of this strategy is also explored to reliably identify high-risk pregnancies early in gestation. Furthermore, a longitudinal study was conducted, including sequential blood samples from pregnant individuals experiencing both uneventful and complicated gestations, to assess the methylation dynamics of cfDNA throughout these pregnancies. A significant strength of this study is its enzymatic digest, which enriches CpG-rich regions across the genome without the need for proprietary reagents or prior selection of regions of interest. This makes it useful for the cost-effective discovery of novel markers.

resultsInvestigation of methylation patterns throughout pregnancy showed different methylation trends between unaffected and affected pregnancies. We detected differentially methylated regions (DMRs) in pregnancies complicated with preeclampsia as early as 12 weeks of gestation, with distinct differences in the methylation profile between early and late pregnancy. Two classification models were developed to diagnose and predict preeclampsia, demonstrating promising results on a small set of validation samples.

conclusionsThis study offers valuable insights into methylation changes at specific genomic regions throughout pregnancy, revealing critical differences between normal and complicated pregnancies. The power of noninvasive cfDNA methylation profiling was successfully proven, suggesting the potential to integrate this noninvasive approach into routine prenatal care.

Indexed as

Cell-Free Nucleic AcidsDNA MethylationPre-EclampsiaAdultBiomarkersCpG IslandsFemaleHumansLongitudinal StudiesPregnancyRisk AssessmentBiomarkersCell-Free Nucleic AcidsCell-free DNACfDNA methylationDifferentially methylated regionsDMRsEpigeneticsPlacental insufficiencyPredictionPreeclampsiaPrenatal

Identifiers

PMID39695764
PMCPMC11656954

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Registered trials

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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.