MIBS MGS
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001001924 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Gut microbiome data of the Maastricht-IBS study
| EGAS00001001914 | EGA
Project description:Irritable Bowel Syndrome (IBS) is a disorder of the gut-brain axis, characterized by altered gut function and frequent psychiatric co-morbidity. Although altered intestinal microbiome profiles have been documented, their relevance to the clinical expression of IBS is unknown. To evaluate a functional role of the microbiota, we colonized germ-free mice with fecal microbiota from healthy controls or IBS patients with accompanying anxiety, and monitored gut function and behavior. Mouse microbiota profiles clustered according to their human donors. Despite having taxonomically similar composition as controls, mice with IBS microbiota had distinct serum metabolomic profiles related to neuro- and immunomodulation. Mice with IBS, but not control microbiota, exhibited faster gastrointestinal transit, intestinal barrier dysfunction, innate immune activation and anxiety-like behavior. These results support the notion that the microbiota contributes to both intestinal and behavioral manifestations of IBS and rationalize the use of microbiota-directed therapies in ameliorating IBS.
2017-03-02 | GSE61841 | GEO
Project description:Maastricht IBS cohort with biobank aims to identify subgroups of IBS according to phenotypical and
genotypical characterization. This dataset represents 16S amlicon sequencing of the gut microbiome of case samples and matched controls. Fecal DNA was extracted using the
Qiagen AllPrep kit with bead-beating step. Sequencing of bacterial 16S gene, domain V4, was
performed using the Illumina MiSeq platform.
| EGAD00001007074 | EGA
Project description:The gut microbiome has been implicated in multiple human chronic gastrointestinal (GI) disorders. Determining its mechanistic role in disease pathogenesis has been difficult due to the apparent disconnect between animal and human studies and a lack of an integrated multi-omics view in the context of disease-specific physiological changes. We integrated longitudinal multi-omics data from the gut microbiome, metabolome, host epigenome and transcriptome in the context of irritable bowel syndrome (IBS) host physiology. We identified IBS subtype-specific and symptom-related variation in microbial composition and function. A subset of identified changes in microbial metabolites correspond to host physiological mechanisms that are relevant to IBS. By integrating multiple data layers, we identified purine metabolism as a novel host-microbial metabolic pathway in IBS with translational potential. Our study highlights the importance of longitudinal sampling and integrating complementary multi-omics data to identify functional mechanisms that can serve as therapeutic targets in a comprehensive treatment strategy for chronic GI diseases.
2020-03-13 | GSE146853 | GEO
Project description:Maastricht Human Plaque Study (MaasHPS)
| PRJNA685122 | ENA
Project description:<p>Irritable bowel syndrome (IBS) is one of the functional gastrointestinal disorders characterized by chronic and/or recurrent symptoms of abdominal pain and irregular defecation. Changed gut microbiota has been proposed to mediate IBS; however, contradictory results exist, and IBS-specific microbiota, metabolites, and their interactions remain poorly understood. To address this issue, we performed metabolomic and metagenomic profiling of stool and serum samples based on discovery (<em>n</em> = 330) and validation (<em>n</em> = 101) cohorts. Fecal metagenomic data showed moderate dysbiosis compared with other diseases, in contrast, serum metabolites showed significant differences with greater power to distinguish IBS patients from healthy controls. Specifically, 726 differentially abundant serum metabolites were identified, including a cluster of fatty acyl-CoAs enriched in IBS. We further identified 522 robust associations between differentially abundant gut bacteria and fecal metabolites, of which three species including <em>Odoribacter splanchnicus</em>, <em>Escherichia coli</em>, and <em>Ruminococcus gnavus</em> were strongly associated with the low abundance of dihydropteroic acid. Moreover, dysregulated tryptophan/serotonin metabolism was found to be correlated with the severity of IBS depression in both fecal and serum metabolomes, characterized by a shift in tryptophan metabolism towards kynurenine production. Collectively, our study revealed serum/fecal metabolome alterations and their relationship with gut microbiome, highlighted the massive alterations of serum metabolites, which empower to recognize IBS patients, suggested potential roles of metabolic dysregulation in IBS pathogenesis, and offered new clues to understand IBS depression comorbidity. Our study provided a valuable resource for future studies, and would facilitate potential clinical applications of IBS featured microbiota and/or metabolites.</p>
2021-12-01 | MTBLS2774 | MetaboLights
Project description:IBS-D is a disease with multi-factor interaction between environment, central system, gut and gene, and its pathogenesis is relatively complex. In order to find the regulation of mRNA in the pathogenesis of IBS-D, intestinal tissue samples of IBS-D patients and healthy subjects were obtained (5 IBS-D patients,5 healthy subjects)， Changes in mRNA expression profiles were detected by high-throughput sequencing.
2023-03-15 | GSE212719 | GEO
Project description:IBS-D is a disease with multi-factor interaction between environment, central system, gut and gene, and its pathogenesis is relatively complex. In order to find the regulation of miRNA in the pathogenesis of IBS-D, intestinal tissue samples of IBS-D patients and healthy subjects were obtained (5 IBS-D patients,5 healthy subjects)， Changes in miRNA expression profiles were detected by high-throughput sequencing.
2023-03-15 | GSE212720 | GEO
Project description:We recruited 24 Mongolian volunteers,6 of which were T2D cases(sample T1-T6), 6 were prediabetes cases(sample P1-P6), and 12 were health cases(sample C1-C12). The metagenomic analysis of gut microbiota from the volunteers’ fecal samples was performed. We compared the microbial differences in the three groups, and analyzed the differences of the stool microbial function.
2022-07-30 | E-MTAB-11957 | biostudies-arrayexpress
Project description:Multiomics of faecal samples collected from individuals in families with multiple cases of type 1 diabetes mellitus (T1DM) over 3 or 4 months. Metagenomic and metatranscriptomic sequencing and metaproteomics were carried out, as well as whole human genome sequencing. Phenotypic data is available.
2017-10-19 | MSV000081630 | MassIVE