Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1213118 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR32054203_1.fastq.gz | Fastqsanger.gz | |||
| SRR32054203_2.fastq.gz | Fastqsanger.gz | |||
| SRR32054205_1.fastq.gz | Fastqsanger.gz | |||
| SRR32054205_2.fastq.gz | Fastqsanger.gz |
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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.
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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.
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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.
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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).
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