Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Multi-omic analysis of the microbiome and metabolome in healthy subjects (feces)

ABSTRACT: We conducted multi-omic phenotyping of healthy individuals, in order to investigate the interaction between diet, the microbiome, and the metabolome in a cross-sectional sample. We applied metabolomic profiling (at Metabolon Inc.) to plasma and stool samples in a subset of individuals (N=75).

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Feces

SUBMITTER: Jane Ferguson

PROVIDER: ST002018 | MetabolomicsWorkbench | Mon Dec 13 00:00:00 GMT 2021

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Multi-omic analysis of the microbiome and metabolome in healthy subjects (blood)

Project description:We conducted multi-omic phenotyping of healthy individuals, in order to investigate the interaction between diet, the microbiome, and the metabolome in a cross-sectional sample. We applied metabolomic profiling (at Metabolon Inc.) to plasma and stool samples in a subset of individuals (N=75).

2021-12-13 | ST002017 | MetabolomicsWorkbench

miRNA profile of serum samples from metabolically healthy and unhealthy obese subjects

Project description:Obese individuals without metabolic comorbidities are categorized as metabolically healthy obese (MHO). MicroRNAs (miRNAs) may be implicated in MHO. This cross-sectional study explores the link between circulating miRNAs and the main components of metabolic syndrome (MetS) in the context of obesity. We also examine oxidative stress biomarkers in MHO vs. metabolically unhealthy obesity (MUO).

2021-03-23 | GSE169290 | GEO

c8062f13-99db-45f7-8982-f13f802fdaaf - samples

Project description:Raw untargeted metabolomics profiled by Metabolon Inc. for 540 samples from healthy individuals. Files include sample names and run details which can be matched to their metagenomic sequencing samples from PRJEB11532 and PRJEB17643. Information regarding metabolite metadata is also available, including

| EGAD00001006247 | EGA

Antibiotic Resistance, Virulence Factors, Phenotyping, and Genotyping of E. coli Isolated from the Feces of Healthy Subjects.

Project description:Escherichia coli may innocuously colonize the intestine of healthy subjects or may instigate infections in the gut or in other districts. This study investigated intestinal E. coli isolated from 20 healthy adults. Fifty-one strains were genotyped by molecular fingerprinting and analyzed for genetic and phenotypic traits, encompassing the profile of antibiotic resistance, biofilm production, the presence of surface structures (such as curli and cellulose), and their performance as recipients in conjugation experiments. A phylogroup classification and analysis of 34 virulence determinants, together with genes associated to the pks island (polyketide-peptide genotoxin colibactin) and conjugative elements, was performed. Most of the strains belonged to the phylogroups B1 and B2. The different phylogroups were separated in a principal coordinate space, considering both genetic and functional features, but not considering pulsed-field gel electrophoresis. Within the B2 and F strains, 12 shared the pattern of virulence genes with potential uropathogens. Forty-nine strains were sensitive to all the tested antibiotics. Strains similar to the potential pathogens innocuously inhabited the gut of healthy subjects. However, they may potentially act as etiologic agents of extra-intestinal infections and are susceptible to a wide range of antibiotics. Nevertheless, there is still the possibility to control infections with antibiotic therapy.

| S-EPMC6722543 | biostudies-literature

Project description:USDA-ARS Cross-Sectional Nutritional Phenotyping Study Gut Microbiota

| PRJEB53463 | ENA

Multi-Omic Analysis of the Microbiome and Metabolome in Healthy Subjects Reveals Microbiome-Dependent Relationships Between Diet and Metabolites.

Project description:The human microbiome has been associated with health status, and risk of disease development. While the etiology of microbiome-mediated disease remains to be fully elucidated, one mechanism may be through microbial metabolism. Metabolites produced by commensal organisms, including in response to host diet, may affect host metabolic processes, with potentially protective or pathogenic consequences. We conducted multi-omic phenotyping of healthy subjects (N = 136), in order to investigate the interaction between diet, the microbiome, and the metabolome in a cross-sectional sample. We analyzed the nutrient composition of self-reported diet (3-day food records and food frequency questionnaires). We profiled the gut and oral microbiome (16S rRNA) from stool and saliva, and applied metabolomic profiling to plasma and stool samples in a subset of individuals (N = 75). We analyzed these multi-omic data to investigate the relationship between diet, the microbiome, and the gut and circulating metabolome. On a global level, we observed significant relationships, particularly between long-term diet, the gut microbiome and the metabolome. Intake of plant-derived nutrients as well as consumption of artificial sweeteners were associated with significant differences in circulating metabolites, particularly bile acids, which were dependent on gut enterotype, indicating that microbiome composition mediates the effect of diet on host physiology. Our analysis identifies dietary compounds and phytochemicals that may modulate bacterial abundance within the gut and interact with microbiome composition to alter host metabolism.

| S-EPMC6534069 | biostudies-literature

Molecular Profiles of Human Breast Cancer and Their Association with Tumor Subtypes and Disease Prognosis (Affymetrix)

Project description:This study identified DNA methylation patterns that were associated with tumor subtypes, disease outcome, and distinct metabolome and gene expression patterns. This study performed a large scale DNA methylation (Illumina HumanMethylation450 BeadChip [HumanMethylation450 15017482 v.1.1], N=73), gene expression (Affymetrix Human Gene 1.0 ST Array [HuGene-1_0-st], N=108), and metabolome (Metabolon, Inc. Durham, NC) analysis of fresh-frozen human breast tumors from African-American and European-American patients from the greater Baltimore area, Maryland (US), with survival follow-up.

2013-11-01 | E-GEOD-37751 | biostudies-arrayexpress

Molecular Profiles of Human Breast Cancer and Their Association with Tumor Subtypes and Disease Prognosis (Illumina)

Project description:This study identified DNA methylation patterns that were associated with tumor subtypes, disease outcome, and distinct metabolome and gene expression patterns. This study performed a large scale DNA methylation (Illumina HumanMethylation450 BeadChip [HumanMethylation450 15017482 v.1.1], N=72), gene expression (Affymetrix Human Gene 1.0 ST Array [HuGene-1_0-st], N=108), and metabolome (Metabolon, Inc. Durham, NC) analysis of fresh-frozen human breast tumors from African-American and European-American patients from the greater Baltimore area, Maryland (US), with survival follow-up.

2013-11-01 | E-GEOD-37754 | biostudies-arrayexpress

Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls

Project description:The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. Thus, the purpose of the present investigation was to compare metaproteomic profiles of saliva in oral health and disease. Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. Samples were analyzed by means of shotgun proteomics. 4161 different proteins were recorded out of which 1946 and 2090 were of bacterial and human origin respectively. The human proteomic profile displayed significant overexpression of the complement system and inflammatory mediators in periodontitis and dental caries. Bacterial proteomic profiles and functional annotation were very similar in health and disease. Data revealed multiple potential salivary proteomic biomarkers of oral disease. In addition, comparable bacterial functional profiles were observed in periodontitis, dental caries and oral health, which suggest that the salivary microbiota predominantly thrives in a planktonic state expressing no characteristic disease-associated metabolic activity. Future large-scale longitudinal studies are warranted to reveal the full potential of proteomic analysis of saliva as a biomarker of oral health and disease.

2016-08-15 | PXD004319 | Pride

Stool small RNA-Seq profile of healthy subjects with different dietary habits

Project description:Small RNA-Seq analysis of on stool samples from an Italian cohort of 120 healthy individuals with three dietary habits. The cohort includes 72 women and 48 men included an equal proportion of vegetarians, vegans and omnivores.

2021-07-30 | GSE171913 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data