Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1085791 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28276820_1.fastq.gz | Fastqsanger.gz | |||
| SRR28276820_2.fastq.gz | Fastqsanger.gz | |||
| SRR28276821_1.fastq.gz | Fastqsanger.gz | |||
| SRR28276821_2.fastq.gz | Fastqsanger.gz | |||
| SRR28276822_1.fastq.gz | Fastqsanger.gz |
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Project description:Maternal secretor status is one of the determinants of human milk oligosaccharides (HMOs) composition, which in turn changes the gut microbiota composition of infants. To understand if this change in gut microbiota impacts immune cell composition, intestinal morphology and gene expression, day 21-old germ-free mice were transplanted with fecal microbiota from infants whose mothers were either secretors (SMM) or non-secretors (NSM) or from infants consuming dairy-based formula (MFM). For each group, one set of mice was supplemented with HMOs. HMO supplementation did not significantly impact the microbiota diversity however, SMM mice had higher abundance of genus Bacteroides, Bifidobacterium, and Blautia, whereas, in the NSM group, there were higher abundance of Akkermansia, Enterocloster, and Klebsiella. In MFM, gut microbiota was represented mainly by Parabacteroides, Ruminococcaceae_unclassified, and Clostrodium_sensu_stricto. In mesenteric lymph node, Foxp3+ T cells and innate lymphoid cells type 2 (ILC2) were increased in MFM mice supplemented with HMOs while in the spleen, they were increased in SMM+HMOs mice. Similarly, serum immunoglobulin A (IgA) was also elevated in MFM+HMOs group. Distinct global gene expression of the gut was observed in each microbiota group, which was enhanced with HMOs supplementation. Overall, our data shows that distinct infant gut microbiota due to maternal secretor status or consumption of dairy-based formula and HMO supplementation impacts immune cell composition, antibody response and intestinal gene expression in a mouse model.
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Project description:Epidemiological studies have associated maternal metabolic conditions such as obesity and gestational diabetes with poor health outcomes in the offspring. Epigenetic mechanisms may help explain the intrauterine influence that mothers have on their offspring during pregnancy. Here, using Illumina's MethylationEPIC array technology, we have longitudinally profiled the blood methylomes of children born to mothers with obesity and obesity with gestational diabetes, and healthy controls, during the first year of life (measurements at 0, cord blood; 6 and 12 months, peripheral blood).
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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:Development of the gut microbiota is greatly impacted in preterm infants. Despite increasing knowledge about microbiota composition in preterm infants, knowledge about the functional signatures of the intestinal microbiota remains limited. The aim was to study transitions in microbiota activity during the first six postnatal weeks in ten preterm infants. A total of 64 stool samples were measured by LC-MS/MS.
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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.
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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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