ALADDIN Birth cohort
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB84944 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:CIDR Preterm Birth Boston Cohort
| PRJNA75541 | ENA
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.
2022-03-09 | GSE194227 | GEO
Project description:LC-MS/MS analysis formula was performed for sera from 22 mother-infant dyads with HLA-conferred susceptibility to type 1 diabetes that were weaned to either an extensively hydrolyzed or regular infant milk. The samples included three samples from each mother (at the beginning of third trimester, at the time of delivery and 3 months postpartum) and five samples from each child (cord blood, 3, 6, 9 and 12 months). Targeted proteomics was used to validate differences observed between the feeding groups.Correlations in protein intensities within the dyads were detected together with perinatal and age-related changes.
2024-05-27 | PXD046387 | Pride
Project description:Westlake Precision Birth Cohort (WEBIRTH) consists of gestational women living in Hangzhou, China.
2022-11-22 | PXD038253 |
Project description:The pilot study from the LifeLines-NEXT (NEXT) cohort consisting of 30 mother-infant pairs with longitudinal sampling from pregnancy till 3 months after birth. Shotgun data is available for virome and microbiome annotation.
| EGAS00001005969 | EGA
Project description:Human breast milk (BM) plays a critical role in infant development and health, particularly in cognitive, immune, and cardiometabolic functions. BM contains extracellular vesicles (EVs) that can transport biologically relevant cargo from mother to infant, including microRNAs (miRNAs). However, to date, most studies on BMEVs have been limited in sample size. We aimed to investigate BMEV-miRNA profiles in a human population cohort, characterize BMEV-miRNAs patterns, and assess potential pathways and ontology. We thus conducted the first study to describe the EV miRNA profile of BM in 364 mothers from a population-based mother-infant cohort in the Faroe Islands using small RNA sequencing. We detected 1,523 miRNAs with ≥ one read in 70% of samples, and 447 miRNAs with ≥ one read in 100% of samples. Using hierarchical clustering, we determined five BMEV-miRNA clusters, the top three consisting of 15, 27 and 67 miRNAs. Correlation coefficients indicated that the expression of many miRNAs within the top three clusters was highly correlated. Top-cluster BMEV-miRNAs were involved in pathways enriched for the endocrine system, cellular community, neurodevelopment, and cancers. Future studies investigating determinants of BMEV-miRNAs and associated health outcomes are needed to elucidate the role of BMEV-miRNAs in health and disease.
2021-03-12 | GSE146880 | GEO
Project description:We investigated sex-specific transcriptomic responses to gestational long- and short-term exposure to particulate matter with a diameter < 2.5 µm (PM2.5) in order to elucidate potential underlying mechanisms of action. Whole genome gene expression was investigated in cord blood of 142 mother-newborn pairs that were enrolled in the ENVIRONAGE birth cohort. Daily PM2.5 exposure levels were calculated for each mother’s home address using a spatial-temporal interpolation model in combination with a dispersion model to estimate both long- (annual average before delivery) and short- (last month of pregnancy) term exposure. We explored the association between gene expression levels and PM2.5 exposure, and identified modulated pathways by overrepresentation analysis and gene set enrichment analysis.
2017-06-23 | GSE83393 | GEO
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.
2014-08-28 | PXD001268 | Pride
Project description:Metagenomic and targeted meta-proteomics were used to investigate the mycobiome profile of the infant gut to identify proteins involved during atopic dermatitis manifestation in a Thai population-based birth cohort.
2021-09-14 | PXD027687 | JPOST Repository