Epigenomic signatures of accelerated epigenetic aging are associated with congenital heart disease in newborns
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PROVIDER: PRJNA1246529 | ENA |
REPOSITORIES: ENA
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Project description:Background: Congenital heart disease (CHD) lesions are the most common birth defects and are associated with life-long neurodevelopmental risks. The exact mechanism by which CHD and neurodevelopment are linked remains unclear; exploring the epigenome in these cases may provide novel insights into predictive biomarkers contributing to outcomes. The present study characterizes the impact of CHD on the newborn epigenome and uncovers potential differences in epigenetic age that may underpin long-term neurodevelopmental disabilities in this high-risk population. Methods: This is a prospective, single-site case-control study conducted at Children’s National Hospital with subjects enrolled from the Washington DC Metropolitan area. Genomic samples were collected between 2018 and 2024 and analyzed using the Illumina MethylationEPIC BeadChip array platform. PedBE was used to assess infant biological age acceleration. Results: Using a methylation array approach, analysis of 33 newborns with complex CHD requiring neonatal cardiac surgery and 26 healthy controls. There was a significant accelerated epigenetic age in newborns with CHD compared to newborns from uncomplicated pregnancies (p < 0.001). Further subgroup analysis within the CHD cohort revealed that both single- and two-ventricle CHD displayed significant accelerated epigenetic age, with transposition of the great arteries (TGA) cases specifically having the greatest accelerated age (107.2 days, p = 0.0001). Further analysis of the CHD group revealed significant age acceleration associated with low blood oxygen saturation. Conclusions: The present study reveals novel epigenomic signatures newborns with CHD. The functional significance of these findings, specifically accelerated epigenetic age, should be the focus of future analyses to uncover correlations associated with related outcomes. These studies aim to advance our understanding of mechanisms underlying long-term neurodevelopmental and behavioral impairment in these patients.
2025-07-09 | GSE293799 | GEO
Project description:Congenital heart disease (CHD) is the most frequent birth defect and affects nearly 1% of newborns. The etiology of CHD is largely unknown and only a small percentage can be assigned to environmental risk factors such as maternal diseases or exposure to mutagenic agents during pregnancy. Chromosomal imbalances have been identified in many forms of syndromic CHD, but next to nothing is known about the impact of DNA copy number changes in non-syndromic CHD. Here we present a sub-megabase resolution array CGH screen of a cohort with CHD as the sole abnormality at the time of diagnosis. Keywords: array CGH In this BAC array CGH study 104 patients with congenital heart disease and some of their parents were screened for DNA copy number changes at submegabase resolution. No dye swap was performed.
2008-05-11 | E-GEOD-7527 | biostudies-arrayexpress
Project description:Accelerated Epigenetic Aging and DNA Methylation Alterations in Berardinelli-Seip Congenital Lipodystrophy
| PRJNA884841 | ENA
Project description:BackgroundCongenital heart defects (CHDs) affect approximately half of individuals with Down syndrome (DS), but the molecular reasons for incomplete penetrance are unknown. Previous studies have largely focused on identifying genetic risk factors associated with CHDs in individuals with DS, but comprehensive studies of the contribution of epigenetic marks are lacking. We aimed to identify and characterize DNA methylation differences from newborn dried blood spots (NDBS) of DS individuals with major CHDs compared to DS individuals without CHDs.MethodsWe used the Illumina EPIC array and whole-genome bisulfite sequencing (WGBS) to quantitate DNA methylation for 86 NDBS samples from the California Biobank Program: (1) 45 DS-CHD (27 female, 18 male) and (2) 41 DS non-CHD (27 female, 14 male). We analyzed global CpG methylation and identified differentially methylated regions (DMRs) in DS-CHD versus DS non-CHD comparisons (both sex-combined and sex-stratified) corrected for sex, age of blood collection, and cell-type proportions. CHD DMRs were analyzed for enrichment in CpG and genic contexts, chromatin states, and histone modifications by genomic coordinates and for gene ontology enrichment by gene mapping. DMRs were also tested in a replication dataset and compared to methylation levels in DS versus typical development (TD) WGBS NDBS samples.ResultsWe found global CpG hypomethylation in DS-CHD males compared to DS non-CHD males, which was attributable to elevated levels of nucleated red blood cells and not seen in females. At a regional level, we identified 58, 341, and 3938 CHD-associated DMRs in the Sex Combined, Females Only, and Males Only groups, respectively, and used machine learning algorithms to select 19 Males Only loci that could distinguish CHD from non-CHD. DMRs in all comparisons were enriched for gene exons, CpG islands, and bivalent chromatin and mapped to genes enriched for terms related to cardiac and immune functions. Lastly, a greater percentage of CHD-associated DMRs than background regions were differentially methylated in DS versus TD samples.ConclusionsA sex-specific signature of DNA methylation was detected in NDBS of DS-CHD compared to DS non-CHD individuals. This supports the hypothesis that epigenetics can reflect the variability of phenotypes in DS, particularly CHDs.
| S-EPMC10559462 | biostudies-literature
Project description:BackgroundCongenital heart defects (CHDs) affect approximately half of individuals with Down syndrome (DS) but the molecular reasons for incomplete penetrance are unknown. Previous studies have largely focused on identifying genetic risk factors associated with CHDs in individuals with DS, but comprehensive studies of the contribution of epigenetic marks are lacking. We aimed to identify and characterize DNA methylation differences from newborn dried blood spots (NDBS) of DS individuals with major CHDs compared to DS individuals without CHDs.MethodsWe used the Illumina EPIC array and whole-genome bisulfite sequencing (WGBS) to quantitate DNA methylation for 86 NDBS samples from the California Biobank Program: 1) 45 DS-CHD (27 female, 18 male) and 2) 41 DS non-CHD (27 female, 14 male). We analyzed global CpG methylation and identified differentially methylated regions (DMRs) in DS-CHD vs DS non-CHD comparisons (both sex-combined and sex-stratified) corrected for sex, age of blood collection, and cell type proportions. CHD DMRs were analyzed for enrichment in CpG and genic contexts, chromatin states, and histone modifications by genomic coordinates and for gene ontology enrichment by gene mapping. DMRs were also tested in a replication dataset and compared to methylation levels in DS vs typical development (TD) WGBS NDBS samples.ResultsWe found global CpG hypomethylation in DS-CHD males compared to DS non-CHD males, which was attributable to elevated levels of nucleated red blood cells and not seen in females. At a regional level, we identified 58, 341, and 3,938 CHD-associated DMRs in the Sex Combined, Females Only, and Males Only groups, respectively, and used machine learning algorithms to select 19 Males Only loci that could distinguish CHD from non-CHD. DMRs in all comparisons were enriched for gene exons, CpG islands, and bivalent chromatin and mapped to genes enriched for terms related to cardiac and immune functions. Lastly, a greater percentage of CHD-associated DMRs than background regions were differentially methylated in DS vs TD samples.ConclusionsA sex-specific signature of DNA methylation was detected in NDBS of DS-CHD compared to DS non-CHD individuals. This supports the hypothesis that epigenetics can reflect the variability of phenotypes in DS, particularly CHDs.
| S-EPMC10187438 | biostudies-literature
Project description:Congenital heart disease (CHD) is the most frequent birth defect and affects nearly 1% of newborns. The etiology of CHD is largely unknown and only a small percentage can be assigned to environmental risk factors such as maternal diseases or exposure to mutagenic agents during pregnancy. Chromosomal imbalances have been identified in many forms of syndromic CHD, but next to nothing is known about the impact of DNA copy number changes in non-syndromic CHD. Here we present a sub-megabase resolution array CGH screen of a cohort with CHD as the sole abnormality at the time of diagnosis. Keywords: array CGH
2008-05-12 | GSE7527 | GEO
Project description:Genome wide DNA methylation profiling of Congenital Lipodystrophy type 2 patients, mutation carriers , and healthy control samples .The Infinium MethylationEPIC Kit was used to measure genome-wide DNA methylation across > 868,000 CpG sites.
2023-08-08 | GSE214297 | GEO
Project description:Comparison of the transcriptome of naive (CD45RA+ CD27+) and differentiated (CD27-CD28-) CD4+ lymphocytes from newborns with congenital human cytomegalovirus infection (cord blood samples) and pregnant women diagnosed with primary CMV infection. Naive cells from HCMV uninfected newborns were used as a control.
2015-01-18 | E-MEXP-3473 | biostudies-arrayexpress
Project description:Molecular Alterations of Extracellular Matrix in the Brain of Newborns with Congenital Zika Syndrome
| PRJNA516806 | ENA
Project description:Accelerated aging is a hallmark of Down syndrome (DS), with adults experiencing early-onset Alzheimer's disease and premature aging of the skin, hair, and immune and endocrine systems. Accelerated epigenetic aging has been found in the blood and brain tissue of adults with DS but when premature aging in DS begins remains unknown. We investigated whether accelerated aging in DS is already detectable in blood at birth. We assessed the association between age acceleration and DS using five epigenetic clocks in 346 newborns with DS and 567 newborns without DS using Illumina MethylationEPIC DNA methylation array data. We compared two epigenetic aging clocks (DNAmSkinBloodClock and pan-tissue DNAmAge) and three epigenetic gestational age clocks (Haftorn, Knight, and Bohlin) between DS and non-DS newborns using linear regression adjusting for observed age, sex, batch, deconvoluted blood cell proportions, and genetic ancestry. Targeted sequencing of GATA1 was performed in a subset of 184 newborns with DS to identify somatic mutations associated with transient abnormal myelopoiesis. DS was significantly associated with increased DNAmSkinBloodClock (effect estimate = 0.2442, p < 0.0001), with an epigenetic age acceleration of 244 days in newborns with DS after adjusting for potential confounding factors (95% confidence interval: 196-292 days). We also found evidence of epigenetic age acceleration associated with somatic GATA1 mutations among newborns with DS (p = 0.015). DS was not associated with epigenetic gestational age acceleration. We demonstrate that accelerated epigenetic aging in the blood of DS patients begins prenatally, with implications for the pathophysiology of immunosenescence and other aging-related traits in DS.
| S-EPMC9282838 | biostudies-literature