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Determining gestational age using genome methylation profile

ABSTRACT: Determining gestational age using genome methylation profile

PROVIDER: PRJNA431353 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR6505810_1.fastq.gz	Fastqsanger.gz
	SRR6505810_2.fastq.gz	Fastqsanger.gz
	SRR6505820_1.fastq.gz	Fastqsanger.gz
	SRR6505820_2.fastq.gz	Fastqsanger.gz
	SRR6505830_1.fastq.gz	Fastqsanger.gz

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Determining gestational age using genome methylation profile

Project description:Background: Gestational age determination by traditional tools (last menstrual period, ultrasonography measurements and Ballard Maturational Assessment in newborns) have major limitations and therefore there is a need to find molecular marker approaches that can be used to determine the accurate gestational age of the newborn. Methods: We performed RRBS (Reduced Representation Bisulfite Sequencing) on 41 cord blood and matching placenta samples. Results: We identified a set of 316 Differentially Methylated Regions (DMRs) that undergo demethylation in late gestational age in cord blood cells and can predict the gestational age (r = -0.7, p value<0.0001). Once the set of 411 DMRs that undergo de novo methylation in late gestational age was used in combination with the first set it generated a more accurate clock (r=0.77, p value=1.87E-05). Conclusion: Taken together, this study demonstrates that DNA methylation can accurately predict gestational age. The clinical use of this predictor should be further investigated.

2019-07-18 | GSE109538 | GEO

Cytosine methylation profiling in small and large for gestational age newborns

Project description:In 1990, David Barker proposed that prenatal nutrition is directly linked to adult cardiovascular disease. Since then, the relationship between adult cardiovascular risk, metabolic syndrome and birth weight has been widely documented. Here we used the TruSeq Methyl Capture EPIC platform to compare the methylation patterns in cord blood from large for gestational age (LGA), small for gestational age (SGA) and adequate for gestational age/Control (AGA/Ctl) newborns. We found several differentially methylated CpGs (DMCs) and differentially methylated regions (DMRs) between LGA, SGA and AGA groups. A system biology approach identified several biological processes significantly enriched with genes in association with DMCs including Regulation of transcription, Regulation of epinephrine secretion, Norepinephrine biosynthesis, Receptor transactivation, Forebrain regionalization and several terms related with kidney and cardiovascular development. Gene ontology analysis of the genes in association with the DMRs identified several significantly enriched biological processes related with kidney development including Mesonephric duct development and Nephron tubule development. Furthermore, our dataset identified several DNA methylation markers enriched at gene networks involved in biological pathways and rare diseases of the cardiovascular system, kidneys and metabolism. Our study identified several DMCs/DMRs in association with fetal growth patterns. The use of cord blood as material for the identification of DNA methylation biomarkers gives us the possibility to perform follow up studies on the same patients as they enter childhood and puberty. These studies will not only help us understand how the methylome responds to continuum postnatal growth but also link early alterations of the DNA methylome with later clinical markers of growth and metabolic fitness.

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Cytosine methylation profiling in small and large for gestational age newborns

Project description:Cytosine methylation profiling in small and large for gestational age newborns

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Hydrolyzed Fat Formula Increases Brain White Matter in Small for Gestational Age and Appropriate for Gestational Age Neonatal Piglets

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Project description:We report an epitranscriptome-wide mapping of m6A-modified circRNAs (m6A-circRNA) in large for gestational age(LGA) placental tissues versus normal gestational age (NGA). Utilizing the data of m6A-circRNAs epitranscriptomic microarray analysis, we found that m6A-circRNAs exhibited their particular modification style in LGA.

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Integrative analysis of DNA methylation and gene expression data among preterm and/or small for gestational age infants during perinatal period [methylation]

Project description:Preterm or small for gestational age (SGA) infants are to be at high risk of noncommunicable diseases in adolescence, because they are exposed to hypoxia and malnutrition in and ex utero during perinatal period. Epigenetics could be one of the most important mechanisms of DOHaD.In the field of premature babies, previous studies investigated the methylation alterations related to gestational age and birthweight by using cord blood samples. In the field of preterm or SGA babies, there were few EWAS studies that examine whether methylation changes relate to RNA expression using cord blood samples, and the interpretation of postnatal blood methylation were different by studies.The objective is to investigate the epigenetic alterations associated with preterm birth and SGA by using methylation and expression microarray, and to explore the epigenetic changes which may persist after birth.

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Maternal whole blood expression changes with gestational age in normal pregnancy by Human Transcriptome Arrays

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Maternal whole blood expression changes with gestational age and labor in normal pregnancy [array]

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