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Cytosine methylation profiling in small and large for gestational age newborns

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

PROVIDER: PRJNA998060 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR25408100.fastq.gz	Fastqsanger.gz
	SRR25408101.fastq.gz	Fastqsanger.gz
	SRR25408102.fastq.gz	Fastqsanger.gz
	SRR25408103.fastq.gz	Fastqsanger.gz
	SRR25408104.fastq.gz	Fastqsanger.gz

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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.

2023-07-26 | GSE238155 | GEO

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

Environmental Factors Influence the Epigenetic Signature of Newborns from Mothers with Gestational Diabetes

Project description:Here we investigated the degree by which epigenetic signatures in children from mothers with obesity or gestational diabetes mellitus are influenced by environmental factors. We profiled the DNA methylation signature of whole blood from lean, obese and gestational diabetes mellitus mothers and their respective newborns. DNA methylation profiles of mothers showed high similarity across groups, while on the contrary, newborns from GDM mothers showed a marked distinct epigenetic profile compared to newborns of both lean and obese mothers. Analysis of variance in DNA methylation levels between newborns showed higher variance in the GDM group. Our work suggest that environmental factors, rather than direct transmission of epigenetic marks from the mother, are involved in establishing the epigenetic signature associated with GDM.

2019-08-22 | GSE128289 | GEO

High-throughput microarray reveals the epitranscriptome-wide landscape of m6A-circRNA in large for gestational age placental tissues.

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.

2024-08-01 | GSE212958 | GEO

Dataset for Placental Genomic and Epigenomic Signatures in Infants Borns at Extremely Low Gestational Age [DNA methylation]

Project description:These analyses set out to evaluate placental genomic and epigenomic signatures in newborns from the Extremely Low Gestational Age Newborns (ELGAN) cohort. Genome-wide mRNA, microRNA, and DNA methylation profiles were obtained from placenta samples collected at birth. Analyses were conducted to better understand placental molecular signatures and relate these to placental, maternal, infant, and later-in-life health indices.

2021-03-01 | GSE167885 | GEO

Dataset for Placental Genomic and Epigenomic Signatures in Infants Borns at Extremely Low Gestational Age [mRNA and microRNA sequencing]

2020-07-22 | GSE154829 | GEO

Determining gestational age using genome methylation profile

Project description:Determining gestational age using genome methylation profile

| PRJNA431353 | ENA

Prenatal Exposure to Metals Alters the Placental Inflammatory Proteome in a Sex-Dependent Manner in Extremely Low Gestational Age Newborns

Project description:Prenatal exposure to toxic metals is associated with altered placental function and adverse health outcomes. The underlying mechanisms linking in utero toxic metal exposures with later-in-life health remain unclear, though placental inflammation is posited as a potential driver. The aim of this study was to evaluate whether in utero metals presence is associated with sex-specific changes in placental protein expression. We hypothesized that sex-specific patterns of metal-associated placental protein expression would be observed, and metals presence would be positively associated with the altered expression of inflammation-associated pathways Using samples banked from the Extremely Low Gestational Age Newborn Study (ELGAN), umbilical cord tissue samples were analyzed via ICP-MS/MS for trace elements, and placental samples underwent a global untargeted proteomics analysis via LC-MS/MS. This work highlights the linkage between prenatal metals exposure and an altered placental proteome, revealing that metals in cord tissue were associated with largely distinct differences in placental protein expression, in a sexually-dimorphic manner.

2023-10-24 | PXD041694 | Pride

Plasma Glycated CD59 Predicts Early Gestational Diabetes and Large for Gestational Age Newborns.

Project description:ContextGestational diabetes mellitus (GDM) diagnosed in early pregnancy is a health care challenge because it increases the risk of adverse outcomes. Plasma-glycated CD59 (pGCD59) is an emerging biomarker for diabetes and GDM. The aim of this study was to assess the performance of pGCD59 as a biomarker of early GDM and its association with delivering a large for gestational age (LGA) infant.ObjectivesTo assess the performance of pGCD59 to identify women with GDM in early pregnancy (GDM < 20) and assess the association of pGCD59 with LGA and potentially others adverse neonatal outcomes linked to GDM.MethodsBlood levels of pGCD59 were measured in samples from 693 obese women (body mass index > 29) undergoing a 75-g, 2-hour oral glucose tolerance test (OGTT) at <20 weeks' gestation in the Vitamin D and Lifestyle Intervention study: the main analyses included 486 subjects who had normal glucose tolerance throughout the pregnancy, 207 who met criteria for GDM at <20 weeks, and 77 diagnosed with GDM at pregnancy weeks 24 through 28. Reference tests were 75-g, 2-hour OGTT adjudicated based on International Association of Diabetes and Pregnancy Study Group criteria. The index test was a pGCD59 ELISA.ResultsMean pGCD59 levels were significantly higher (P < 0.001) in women with GDM < 20 (3.9 ± 1.1 standard peptide units [SPU]) than in those without (2.7 ± 0.7 SPU). pGCD59 accurately identified GDM in early pregnancy with an area under the curve receiver operating characteristic curves of 0.86 (95% confidence interval [CI], 0.83-0.90). One-unit increase in maternal pGCD59 level was associated with 36% increased odds of delivering an LGA infant (odds ratio for LGA vs non-LGA infant: 1.4; 95% CI, 1.1-1.8; P = 0.016).ConclusionOur results indicate that pGCD59 is a simple and accurate biomarker for detection of GDM in early pregnancy and risk assessment of LGA.

| S-EPMC7082084 | biostudies-literature

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

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

| PRJNA556242 | ENA

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