45d43d19-4c9e-466a-ab5e-54266da6db11 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001009984 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Pre-diagnostic saliva microbiota samples of Finnish children (aged 11/12 years). This is a case-control study, where case refers to the children who developed Type 1 DM or IBD later in life and control refers to the children who were free from these diseases. The aim of the study was to find biomarkers in saliva microbiota that may help us predict DM or IBD before the onset of these diseases.
| EGAS00001006949 | EGA
Project description:The saliva microbiota of 972 Finnish children, aged 9-14 years was characterized using the 16S rRNA (V3-V4) gene sequencing with Illumina Hiseq platform.
| EGAD00001004145 | EGA
Project description:Mucosal-luminal interface (MLI) samples were collected from a cohort of children with new-onset IBD and microbial cells were harvested and processed for metaproteomic analysis. Deep metaproteomics data analysis was then performed for better understanding the MLI microbiota functions in the development of pediatric IBD.
2018-08-03 | PXD007819 | Pride
Project description:Excess sugar consumption is common among youth and can have adverse health effects. However, the relationship between saliva microbiota and sugar consumption remains sparsely studied. We aimed to explore diversity, composition and functional capacities of saliva microbiota in 11–13-year-old Finnish children with low and high sweet treat consumption.
| EGAD00001008780 | EGA
Project description:The human intestinal microbiota may play a role in the development of overweight and obesity. However, associations between saliva microbiota and body mass index (BMI) have been sparsely studied, although the oral cavity is the major gateway for microbes into the body. The aim of this study was to identify associations between the saliva microbiota and BMI categories in Finnish children aged 9-14 years.
| EGAS00001003039 | EGA
Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults.
2013-08-15 | E-GEOD-49875 | biostudies-arrayexpress
Project description:Colonic aspirates were collected at diagnostic colonoscopy from inflammatory bowel disease (IBD) and control, treatment-naive children. The colonic mucosal-luminal interface (MLI) proteomes were analyzed for 18 control and 42 IBD patients by liquid-chromatography mass spectrometry.
2018-03-19 | PXD006383 | Pride
Project description:The skin microbiota and allergic diseases in children in relation to nature connection of Finnish daycares
| PRJEB20097 | ENA
Project description:Studying host-microbiota interactions is fundamental to understand mechanisms involved in intestinal inflammation and inflammatory bowel diseases. In this work, we studied these interactions in mice mono-associated with 4 bacteria and 2 yeasts, all representative of intestinal microbiota and/or associated with IBD pathogenesis: Bacteroides thetaiotaomicron, adhesive-invasive Escherichia coli (AIEC), Ruminococcus gnavus, Roseburia intestinalis, Saccharomyces boulardii and Candida albicans. Transcriptomics analyses showed that B. thetaiotaomicron had the highest immunological effect, being able to almost recapitulate the effects of a whole microbiota, and particularly induced Treg pathways. Furthermore, this analysis also pointed out the effects of E. coli AIEC LF82 on IDO activation and of S. boulardii on angiogenesis, as well as major effects of R. gnavus on metabolism. This work therefore reveals information on the role of each micro-organism and proposes several tracks to follow to better understand IBD pathogenesis and identify therapeutic targets 6 mono-associations + 2 controls (germ-free and conventionalized mice), with 5 to 7 mice per group.
2015-08-22 | E-GEOD-63299 | biostudies-arrayexpress
Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample
2013-08-15 | GSE49875 | GEO