Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1053643 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27235600_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR27235700_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR27235800_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR27235601_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR27235701_subreads.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 250 |
Similar Datasets
Project description:Objectives To perceive the temporal features of breast milk proteome between women with gestational diabetes mellitus (GDM) and healthy controls across various lactation periods, as well as to explore the potential impacts of these differences on the growth of offspring.
Methods The study cohort included twenty mothers with GDM and twenty healthy mothers. Human milk samples were obtained at four distinct time points: colostrum (4-6 days postpartum), transitional milk (12-14 days postpartum), early mature milk (42 days postpartum) and mature milk (4 months postpartum). Shotgun proteomics with label free quantification was applied to analyze the milk proteome. Gene Ontology (GO) enrichment analysis, alongside other bioinfomatic tools were conducted to elucidate the function of differentially expressed proteins. Subsequently, a random forest model was utilized to discern proteins that could reliably differentiate milk samples from mothers with gestational diabetes mellitus (GDM) from those of healthy counterparts. Furthermore, correlative analysis was employed to investigate the association between these proteins and the anthropometric indices of infants.
Results Principal coordinate analysis (PCoA) revealed distinct separations in the milk proteome of GDM and healthy mothers during the initial lactation stages, with these differences diminishing over time. The up-regulated proteins in GDM were predominantly associated with the innate immune system, complement and coagulation cascades, cellular secretion, enzymatic and binding activity, and platelet activation. Six proteins were identified as effective markers for distinguishing milk samples from the two groups, with an average area under the curve (AUC) value of 0.91. Twenty-eight proteins exhibited consistent changes between GDM and healthy groups across at least two lactation stages, many of which were significantly correlated to the anthropometric indices of the offsprings.
Conclusions GDM significantly influences the milk proteome, with the extent of alteration diminishing as lactation progresses into the mature milk phase.
| MSV000095983 | MassIVE
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
Project description:In this retrospective study, a diverse set of biological specimens was assembled, consisting of maternal blood, umbilical cord blood, and placenta tissue, from a cohort of 22 mothers with gestational diabetes mellitus and a matched group of 19 healthy mothers. Integrated proteomic characterization of these samples were performed, and functional enrichments based on GO and KEGG database, as well as Gene Set Enrichment Analysis were used to elucidate the pathways involved in the pathophysiology of gestational diabetes mellitus. Moreover, a weighted protein co-expression network was constructed to analysis the correlation of expression modules with clinical traits.
2025-01-21 | PXD060039 |
Project description:Gestational diabetes mellitus (GDM), the most prevalent metabolic disorder during pregnancy, has long-term risks of metabolic diseases that might persist in adulthood. However, the underlying mechanisms remain unclear. Here, we profiled 78,767 cord blood mononuclear cells (CBMCs) from GDM and healthy mothers’ fetuses by single-cell RNA sequencing (scRNA-seq).
2024-01-18 | GSE212309 | GEO
Project description:Gestational diabetes mellitus (GDM) is the most common complication of pregnancy. Children of mothers with GDM are at an increased risk for the development of cardiometabolic disease later in life, though the mechanisms responsible for this observation are unknown. We propose that an altered cardiac transcriptome, programmed in utero, may be a contributing mechanism to cardiometabolic disease development and hypothesize that the hearts of offspring exposed to GDM will exhibit altered gene expression pathways. The purpose of this project will be to study alterations in the cardiac transcriptome of young adult rat offspring after exposure to GDM to investigate the mechanisms responsible for the developmental origins of cardiovascular disease.
2021-07-31 | GSE136737 | GEO
Project description:Background: Human milk extracellular vesicles (EVs) affect various cell types in the gastrointestinal tract, including T cells, and play a role in the development of the newborn’s immune system by delivering specific molecular cargo to target cells. Although maternal allergic sensitization alters the composition of milk, it is unknown whether this impacts the function of milk EVs. Therefore, we analyzed the T cell modulatory capacity and compared the protein and miRNA cargo of EVs from milk of allergic and non-allergic mothers. Methods: EVs were isolated from human milk from allergic and non-allergic donors by differential centrifugation, density gradient floatation and size exclusion chromatography. Functional modulation of primary human CD4+ T cells by EVs was assessed in vitro. Proteomic analysis and small RNA sequencing was performed on milk EVs to evaluate protein and miRNA abundance and to identify cellular targets of this EV cargo in relevant T cell signaling pathways. Results: T cell proliferation, activation and cytokine production were suppressed in the presence of milk EVs. Remarkably, milk EVs from allergic mothers modulated T cell activation to a lesser extent than EVs from non-allergic mothers. Integrative multi-omics analysis identified EV cargo of which the cellular targets could be linked to T cell activation-associated processes. Conclusions: Milk EVs from non-allergic mothers are stronger inhibitors of T cell activation compared to milk EVs from allergic mothers. This altered functionality might be linked to small changes in modulation of certain T cell signaling pathways.
2022-10-30 | GSE216498 | GEO
Project description:Objective: To explore the characteristics and underlying molecular mechanisms of genome-scale expression profiles of women with- or without- gestational diabetes mellitus and their offspring. Materials and Methods: We recruited a group of 21 pregnant women with gestational diabetes mellitus (GDM) and 20 healthy pregnant women as controls. For each pregnant women, RRBS were performed using the placenta and paired neonatal umbilical cord blood specimens. Differentially methylated regions (DMRs) were identified. Then, functional enrichment analysis was performed to differential methylated genes (DMGs) separately or interactively in placenta and umbilical cord blood. Results: Through the comparison of GDM and healthy samples, 2779 and 141 DMRs were identified from placenta and umbilical cord blood, respectively. Functional enrichment analysis showed that the placenta methylation and expression profiles of GDM women mirrored the molecular characteristics of “type II diabetes” and “insulin resistance”. Methylation-altered genes in umbilical cord blood were associated with pathways “type II diabetes” and “cholesterol metabolism”. DMGs illustrated significant overlaps among placenta and umbilical cord blood samples, and the overlapping DMGs were associated with cholesterol metabolism. Conclusions: Our research demonstrated the epigenomic alternations of GDM mothers and offspring. Our findings emphasized the importance of epigenetic modifications in the communication between pregnant women with GDM and offspring, and provided reference for the prevention, control, treatment, and intervention of perinatal deleterious events of GDM and neonatal complications.
2022-05-31 | GSE203169 | GEO
Project description:Connections between the gut microbiome and gestational diabetes mellitus
| PRJEB18755 | ENA