Maternal plasma cell-free RNA as a predictor of early and late-onset preeclampsia throughout pregnancy.

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Nerea Castillo-Marco,Teresa Cordero,Marina Igual,Irene Muñoz-Blat,Carla Gómez-Álvarez,Neus Bernat-González,Ángela Gaspar-Doménech,Érika Ortiz-Domingo,Alba Vives,Sheila Ortega-Sanchís,Rogelio Monfort-Ortiz,Petr Volkov,Juan Luis Delgado,Laura Hernandez-Hernandez,Esther Canovas,Maria Del Mar Gil,Belén Santacruz,Nieves Luisa Gonzalez-Gonzalez,Walter Plasencia,Alfredo Perales-Marín,Beatriz Marcos-Puig,Ana María Palacios-Marqués,Íñigo Melchor,Alicia Martin-Martinez,Taysa Benitez-Delgado, ,Carlos Simón,Tamara Garrido-Gómez
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引用次数: 0

Abstract

Early- and late-onset preeclampsia (EOPE and LOPE) pose serious maternal-fetal risks, yet non-invasive early prediction remains challenging. In a prospective cohort of 9,586 pregnancies, we analyze trimester-specific plasma cell-free RNA (cfRNA) profiles from 42 EOPE and 43 LOPE cases versus 131 normotensive controls. Organ-specific transcriptomic shifts distinguish EOPE from LOPE. Predictive models based on cfRNA signatures identify EOPE up to 18.0 weeks before clinical onset in the first-trimester (T1) (AUC = 0.88), and 8.5 weeks in the second trimester (T2) (AUC = 0.89). LOPE is predicted 14.9 weeks in advance using T2 data (AUC = 0.90), while T1 performance is lower (AUC = 0.68). External validation confirms robust EOPE prediction (AUC = 0.87 at T1; 0.81 at T2) and acceptable LOPE performance (AUC = 0.63 at T1; AUC = 0.77 at T2). EOPE models are enriched for decidual transcripts, suggesting early maternal involvement; LOPE models reflect broader tissue contributions. These findings offer a path to early, non-invasive, subtype-specific preeclampsia risk stratification and prevention.
母体血浆无细胞RNA作为妊娠早期和晚发型子痫前期的预测因子。
早发性和晚发性先兆子痫(EOPE和LOPE)构成严重的母胎风险,但无创早期预测仍然具有挑战性。在一项包含9586例妊娠的前瞻性队列研究中,我们分析了42例EOPE和43例LOPE患者与131例正常对照组的妊娠期特异性血浆无细胞RNA (cfRNA)谱。器官特异性转录组变化区分了EOPE和LOPE。基于cfRNA特征的预测模型在妊娠早期(T1)临床发病前18.0周(AUC = 0.88)和妊娠中期(T2) 8.5周(AUC = 0.89)诊断出EOPE。使用T2数据提前14.9周预测LOPE (AUC = 0.90),而T1表现较低(AUC = 0.68)。外部验证证实了稳健的EOPE预测(T1时AUC = 0.87; T2时AUC = 0.81)和可接受的LOPE性能(T1时AUC = 0.63; T2时AUC = 0.77)。个体转录本丰富了EOPE模型,表明母体早期参与;LOPE模型反映了更广泛的组织贡献。这些发现为早期、非侵入性、亚型特异性子痫前期风险分层和预防提供了途径。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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