Literature DB >> 33045922

Cell-free DNA Methylation and Transcriptomic Signature Prediction of Pregnancies with Adverse Outcomes.

Giorgia Del Vecchio1, Qingjiao Li2, Wenyuan Li3, Shanthie Thamotharan1, Anela Tosevska4, Marco Morselli4, Kyunghyun Sung5, Carla Janzen6, Xianghong Zhou3, Matteo Pellegrini4, Sherin U Devaskar1.   

Abstract

Although analysis of maternal plasma cell-free content has been employed for screening of genetic abnormalities within a pregnancy, limited attention has been paid to its use for the detection of adverse pregnancy outcomes (APOs) based on placental function. Here we investigated cell-free DNA and RNA content of 102 maternal and 25 cord plasma samples. Employing a novel deconvolution methodology, we found that during the first trimester, placenta-specific DNA increased prior to the subsequent development of gestational diabetes with no change in patients with preeclampsia while decreasing with maternal obesity. Moreover, using cell-free RNA sequencing, APOs revealed 71 differentially expressed genes early in pregnancy. We noticed the upregulation of S100A8, MS4A3, and MMP8 that have been already associated with APOs but also the upregulation of BCL2L15 and the downregulation of ALPL that have never been associated with APOs. We constructed a classifier with a positive predictive ability (AUC) of 0.91 for APOs, 0.86 for preeclampsia alone and 0.64 for GDM. We conclude that placenta-specific cell-free nucleic acids during early gestation provide the possibility of predicting APOs prior to the emergence of characteristic clinical features.

Entities:  

Keywords:  Cell-free DNA; cell-free RNA; gestational diabetes; gestational hypertension; high-risk pregnancy; preeclampsia

Mesh:

Substances:

Year:  2020        PMID: 33045922      PMCID: PMC8143248          DOI: 10.1080/15592294.2020.1816774

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  40 in total

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Authors:  Tracy Adams; Corinne Yeh; Nadia Bennett-Kunzier; Wendy L Kinzler
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4.  Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments.

Authors:  Kun Sun; Peiyong Jiang; K C Allen Chan; John Wong; Yvonne K Y Cheng; Raymond H S Liang; Wai-kong Chan; Edmond S K Ma; Stephen L Chan; Suk Hang Cheng; Rebecca W Y Chan; Yu K Tong; Simon S M Ng; Raymond S M Wong; David S C Hui; Tse Ngong Leung; Tak Y Leung; Paul B S Lai; Rossa W K Chiu; Yuk Ming Dennis Lo
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6.  Prediction models for preeclampsia: A systematic review.

Authors:  Annelien C De Kat; Jane Hirst; Mark Woodward; Stephen Kennedy; Sanne A Peters
Journal:  Pregnancy Hypertens       Date:  2019-03-11       Impact factor: 2.899

7.  CancerDetector: ultrasensitive and non-invasive cancer detection at the resolution of individual reads using cell-free DNA methylation sequencing data.

Authors:  Wenyuan Li; Qingjiao Li; Shuli Kang; Mary Same; Yonggang Zhou; Carol Sun; Chun-Chi Liu; Lea Matsuoka; Linda Sher; Wing Hung Wong; Frank Alber; Xianghong Jasmine Zhou
Journal:  Nucleic Acids Res       Date:  2018-09-06       Impact factor: 16.971

8.  Gestational diabetes and maternal obesity are associated with epigenome-wide methylation changes in children.

Authors:  Line Hjort; David Martino; Louise Groth Grunnet; Haroon Naeem; Jovana Maksimovic; Anders Henrik Olsson; Cuilin Zhang; Charlotte Ling; Sjurdur Frodi Olsen; Richard Saffery; Allan Arthur Vaag
Journal:  JCI Insight       Date:  2018-09-06

9.  Prenatal Growth Patterns and Birthweight Are Associated With Differential DNA Methylation and Gene Expression of Cardiometabolic Risk Genes in Human Placentas: A Discovery-Based Approach.

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10.  Noninvasive blood tests for fetal development predict gestational age and preterm delivery.

Authors:  Thuy T M Ngo; Mira N Moufarrej; Marie-Louise H Rasmussen; Joan Camunas-Soler; Wenying Pan; Jennifer Okamoto; Norma F Neff; Keli Liu; Ronald J Wong; Katheryne Downes; Robert Tibshirani; Gary M Shaw; Line Skotte; David K Stevenson; Joseph R Biggio; Michal A Elovitz; Mads Melbye; Stephen R Quake
Journal:  Science       Date:  2018-06-08       Impact factor: 47.728

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Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

2.  Evaluation of a Maternal Plasma RNA Panel Predicting Spontaneous Preterm Birth and Its Expansion to the Prediction of Preeclampsia.

Authors:  Carl Philip Weiner; Howard Cuckle; Mark Louis Weiss; Irina Alexandra Buhimschi; Yafeng Dong; Helen Zhou; Risa Ramsey; Robert Egerman; Catalin Sorin Buhimschi
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3.  Integrated analysis of an in vivo model of intra-nasal exposure to instilled air pollutants reveals cell-type specific responses in the placenta.

Authors:  Anela Tosevska; Shubhamoy Ghosh; Amit Ganguly; Monica Cappelletti; Suhas G Kallapur; Matteo Pellegrini; Sherin U Devaskar
Journal:  Sci Rep       Date:  2022-05-19       Impact factor: 4.996

4.  Circulating extracellular vesicles exhibit a differential miRNA profile in gestational diabetes mellitus pregnancies.

Authors:  Shanthie Thamotharan; Shubhamoy Ghosh; Laura James-Allan; Margarida Y Y Lei; Carla Janzen; Sherin U Devaskar
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5.  Development and validation of a transcriptomic signature-based model as the predictive, preventive, and personalized medical strategy for preterm birth within 7 days in threatened preterm labor women.

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6.  Early pregnancy prediction of spontaneous preterm birth before 32 completed weeks of pregnancy using plasma RNA: transcriptome discovery and initial validation of an RNA panel of markers.

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Review 7.  Epigenetic Regulation of Adipogenesis in Development of Metabolic Syndrome.

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Review 8.  Investigating Pregnancy and Its Complications Using Circulating Cell-Free RNA in Women's Blood During Gestation.

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9.  Early prediction of preeclampsia in pregnancy with cell-free RNA.

Authors:  Mira N Moufarrej; Sevahn K Vorperian; Ronald J Wong; Ana A Campos; Cecele C Quaintance; Rene V Sit; Michelle Tan; Angela M Detweiler; Honey Mekonen; Norma F Neff; Courtney Baruch-Gravett; James A Litch; Maurice L Druzin; Virginia D Winn; Gary M Shaw; David K Stevenson; Stephen R Quake
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Review 10.  Global Trends in Research on Cell-Free Nucleic Acids in Obstetrics and Gynecology during 2017-2021.

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  10 in total

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