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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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