Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1289783 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Indonesian mother-infant microbiome
| PRJEB34323 | ENA
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:Mother-infant microbiome vertical transmission
| PRJNA352475 | ENA
Project description:<p>Infancy is a critical period for the colonization of the gut microbiome. However, xenobiotic effects on gut microbiome development in early life remain poorly understood. Here, we recruit 146 mother-infant pairs and collect stool samples at 3, 6, and 12 months after delivery for amplicon sequencing (N = 353), metagenomics (N = 65), and metabolomics (N = 198). Trace elements in maternal hair samples (N = 119) affect the alpha diversity of the infant gut microbiome. Shannon diversity in 3-month-old infants is correlated positively with selenium and negatively with copper, and the relative abundance of Bifidobacterium increases under high exposure to aluminum and manganese. During the first year of life, infants and their paired mothers have distinct microbial diversity and composition, and their bacterial community structures gradually approach. There are 56 differential metabolites between the first and second postpartum visits and 515 differential metabolites between the second and third visits. The typical profile of antibiotic resistance genes (ARGs) differs significantly between infants and their mothers. High copper and arsenic exposure may induce the enrichment of ARGs in the infant gut. Our findings highlight the dynamics of the gut microbiome, metabolites, and ARG profiles of mother-infant pairs after delivery, associated with prenatal exposure to trace elements.</p>
2025-05-02 | MTBLS11392 | MetaboLights
Project description:Associations of Milk Components with the Infant Gut Microbiome in a Mother Infant Model
| PRJDB12676 | ENA
Project description:Influenza virus transmission between mothers and nursing-infants has not been investigated although mothers and infants often develop severe disease. Ferrets are considered the most appropriate model for influenza studies. We investigated influenza transmission in infant and nursing-mother ferrets. Influenza infected infants transmitted virus to mother mammary glands leading to live virus excretion in milk and influenza virus positive mammary gland epithelial cells. Global gene expression analysis showed down-regulation of milk production and induction of breast involution and oncogenesis pathways. Our results provide insight into influenza transmission between mothers and infants which may impact fields of infectious disease, maternal/infant health and neoplasm etiology. Total RNA was obtained from nursing mother ferret mammary glands at days 3/4 and 6/7 post-intranasal kit infection with 10^5 EID50 A/California/07/2009 (H1N1). Total RNA was also collected from uninfected control nursing mother mammary gland tissues (n = 3). Changes in gene expression relative to uninfected tissue controls were then investigated.
2015-09-10 | E-GEOD-63082 | biostudies-arrayexpress
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:We performed a longitudinal study of the plasma proteome of children infected with malaria and residing in low or high malaria transmission areas in Ghana. A mass spectrometry-based approach was used to identify putative protein-based biomarkers and predictors of resistance to malaria. Our findings confirm earlier reports and identify putative signature proteins implicated in immune tolerance to malaria.
2025-02-11 | PXD060218 | Pride