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
{"title":"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。","authors":"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","doi":"10.1038/s41467-025-64215-2","DOIUrl":null,"url":null,"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.","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"54 1","pages":"9208"},"PeriodicalIF":15.7000,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Maternal plasma cell-free RNA as a predictor of early and late-onset preeclampsia throughout pregnancy.\",\"authors\":\"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\",\"doi\":\"10.1038/s41467-025-64215-2\",\"DOIUrl\":null,\"url\":null,\"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. 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Maternal plasma cell-free RNA as a predictor of early and late-onset preeclampsia throughout pregnancy.
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.
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.