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Preterm Birth Buccal Cell Epigenetic Biomarkers to Facilitate Preventative Medicine

ABSTRACT: Preterm Birth Buccal Cell Epigenetic Biomarkers to Facilitate Preventative Medicine

PROVIDER: PRJNA799768 | ENA |

REPOSITORIES: ENA

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Preterm Birth Buccal Cell Epigenetic Biomarkers to Facilitate Preventative Medicine

Project description:Preterm birth is the major cause of newborn and infant mortality affecting nearly one in every ten live births. This study was designed to develop an epigenetic biomarker for susceptibility of preterm birth using buccal cells from the mother, father, and child (triads). MeDIP-seq was used to identify differential DNA methylation regions (DMRs) using a comparison of control term birth versus preterm birth triads. Epigenetic DMR associations with preterm birth were identified for both the mother and father that were distinct and suggest potential epigenetic contributions from both parents. The mother (165 DMRs) and female child (136 DMRs) at p<1e-04 had the highest number of DMRs and were highly similar suggesting potential epigenetic inheritance of the epimutations. The male child had negligible DMR associations. The DMR associated genes for each group involve previously identified preterm birth associated genes.

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Preterm birth CVF proteomics discovery

Project description:Preterm birth, defined as birth <37 weeks of gestation, is a leading cause of infant morbidity and mortality. In the United States, approximately 12% of all births are preterm.1 Despite decades of research, there has been little progress in developing effective interventions to prevent preterm birth. In fact, the rate of preterm birth has increased slightly over the last several decades.2 The ultimate goal of the Genomic and Proteomic Network for Preterm Birth Research (GPN-PBR) is to identify possible biomarkers that could predict the susceptibility to spontaneous preterm birth (SPTB) as well as to shed light on the molecular mechanisms involved in its etiologies. Understanding those mechanisms will help us predict SPTB and may facilitate the introduction of more effective prevention and treatment strategies.

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Epigenome analysis of buccal cells from monozygotic and dizygotic twins

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Quantitative Proteomic Profiling of Cervicovaginal Fluid from Pregnant Women with Term and Preterm Birth

Project description:Preterm birth (PTB) is one of major causes of perinatal mortality and neonatal morbidity, but knowledge of its complex etiology is still limited. Here we present cervicovaginal fluid (CVF) protein profiles of pregnant women who subsequently delivered at spontaneous preterm or term, aiming to identify differentially expressed CVF proteins in PTB and term birth. The CVF proteome of women who sequentially delivered at preterm and term was analyzed using isobaric tags for relative and absolute quantitation (iTRAQ) coupled with two-dimensional nanoflow liquid chromatography-tandem mass spectrometry (2D-nLC-MS/MS). We compared the CVF proteome of PTB (n=5) and control subjects (term birth, n=7) using pooled control CVF (term birth, n=20) as spike-in standard. We identified 1294 CVF proteins, of which 605 were newly identified proteins. Of 990 proteins quantified in both PTB and term birth, 52 proteins were significantly up/down-regulated in PTB compared to term birth. The differentially expressed proteins were functionally associated to immune response, endopeptidase inhibitors and structural constituent of cytoskeleton. Taken together, our study provide quantitative CVF proteome profiles of pregnant women who ultimately delivered at preterm and term. These promising results could help to improve the understanding of PTB etiology and to discover biomarkers for asymptomatic PTB.

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Epigenome analysis of buccal cells from monozygotic and dizygotic twins

Project description:Using the Infinium HM450 platform, we have performed a longitudinal study of DNA methylation at birth and age 18 months in DNA from buccal swabs from 10 monozygotic (MZ) and 5 dizygotic (DZ) twin pairs from the Peri/postnatal Epigenetic Twins Study (PETS) cohort. Beta methylation measurements from bisulphite-converted DNA and raw intensity values from 53 samples. Samples were collected at birth ('_B') or 18 months ('_18m'). Data were preprocessed using the Minfi package in R by the 'illumina' method and normalized to control probes. Subset quantile normalization was performed on type 1 and type 2 probes. Probes failing P detection cutoff of <0.01 were removed. Probes on the X and Y chromosomes have been removed from the processed data. Outlier samples were removed. Between-array quantile normalization was performed to arrive at the final data set of 330168 probes and 53 samples.

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