Concordant and Discordant Transcriptomic Signatures of Twin Placentas in the Setting of Preeclampsia

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Authors: William E. Ackerman, Irina Alexandra Buhimschi, Hongwu Jing, Thomas L. Brown, Guomao Zhao, Catalin Sorin Buhimschi
Cited by: 1
References: 69

Abstract

BACKGROUND: Multifetal pregnancies have increased preeclampsia risk, but the underlying pathogenesis may differ from that of singletons. It remains unclear whether twin placentas show molecular signs of preeclampsia synchronously. METHODS: We performed RNA sequencing on 32 individual placental samples from twin gestations grouped by preeclampsia status: 24 dichorionic twin (DT) and 8 monochorionic twin gestations. Ten singleton placentas from preeclamptic pregnancies were also analyzed. A benchmark data set (GSE203507, GSE114691, and GSE1482410) and a test data set (GSE190973) comprised 71 early onset preeclampsia and 69 control singleton placentas. Differential abundance analysis was conducted, and machine learning was used to derive a novel 98-transcript classification signature (accuracy >0.97 in benchmark and test data sets). RESULTS: Across 7 groups, 2946 transcripts were differentially modulated (likelihood-ratio test; false discovery rate

Fields of Study & Subjects

Pregnancy and preeclampsia studies Prenatal Screening and Diagnostics Preterm Birth and Chorioamnionitis

Publication details

Journal / source
Hypertension
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
83
Issue
6
Pages
e25854–e25854
Publication date
5 February 2026
Language
EN