Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/41486
Title: Cell-free DNA methylome analysis for early preeclampsia prediction
Authors: De Borre, Marie
Che, Huiwen
Yu, Qian
Lannoo, Lore
De Ridder, Kobe
Vancoillie, Leen
DREESEN, Pauline 
Van Den Ackerveken, Mika
Aerden, Mio
Galle, Eva
Breckpot, Jeroen
Van Keirsbilck, Joachim
GYSELAERS, Wilfried 
Devriendt, Koen
Vermeesch, Joris Robert
Van Calsteren, Kristel
Thienpont, Bernard
Issue Date: 2023
Publisher: NATURE PORTFOLIO
Source: NATURE MEDICINE, 29 (9) , p. 2206 -2215
Abstract: Preeclampsia (PE) is a leading cause for peripartal morbidity, especially if developing early in gestation. To enable prophylaxis in the prevention of PE, pregnancies at risk of PE must be identified early-in the first trimester. To identify at-risk pregnancies we profiled methylomes of plasma-derived, cell-free DNA from 498 pregnant women, of whom about one-third developed early-onset PE. We detected DNA methylation differences between control and PE pregnancies that enabled risk stratification at PE diagnosis but also presymptomatically, at around 12 weeks of gestation (range 9-14 weeks). The first-trimester risk prediction model was validated in an external cohort collected from two centers (area under the curve (AUC) = 0.75) and integrated with routinely available maternal risk factors (AUC = 0.85). The combined risk score correctly predicted 72% of patients with early-onset PE at 80% specificity. These preliminary results suggest that cell-free DNA methylation profiling is a promising tool for presymptomatic PE risk assessment, and has the potential to improve treatment and follow-up in the obstetric clinic.
Notes: Thienpont, B (corresponding author), Katholieke Univ Leuven, Dept Human Genet, Lab Funct Epigenet, Leuven, Belgium.
bernard.thienpont@kuleuven.be
Keywords: Pregnancy;Humans;Female;Epigenome;Area Under Curve;DNA Methylation;Pre-Eclampsia;Cell-Free Nucleic Acids
Document URI: http://hdl.handle.net/1942/41486
ISSN: 1078-8956
e-ISSN: 1546-170X
DOI: 10.1038/s41591-023-02510-5
ISI #: 001063746200001
Rights: The Author(s), under exclusive licence to Springer Nature America, Inc. 2023
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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