Human gut metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA663722 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12664303_1.fastq.gz | Fastqsanger.gz | |||
| SRR12664303_2.fastq.gz | Fastqsanger.gz | |||
| SRR12664304_1.fastq.gz | Fastqsanger.gz | |||
| SRR12664304_2.fastq.gz | Fastqsanger.gz | |||
| SRR12664305_1.fastq.gz | Fastqsanger.gz |
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Project description:In vitro gut microbiota models are often used to study drug-microbiome interaction. Similar to culturing individual microbial strains, the biomass accumulation of in vitro gut microbiota follows a logistic growth curve. Current studies on in vitro gut microbiome responses introduce drug stimulation during different growth stages, e.g. lag phase or stationary phase. However, in vitro gut microbiota in different growth phases may respond differently to a same stimuli. Therefore, in this study, we used a 96-deep well plate-based culturing model (MiPro) to culture the human gut microbiota. Metformin, as the stimulus, was added at the lag, log and stationary phases of growth. Microbiome samples were collected at different time points for optical density and metaproteomic functional analysis. Results show that in vitro gut microbiota responded differently to metformin added during different growth phases, in terms of the growth curve, alterations of taxonomic and functional compositions. The addition of drugs at log phase leads to the greatest decline of bacterial growth. Metaproteomic analysis suggested that the strength of the metformin effect on the gut microbiome functional profile was ranked as lag phase > log phase > stationary phase. Our results showed that metformin added at lag phase resulted in a significantly reduced abundance of the Clostridiales order as well as an increased abundance of the Bacteroides genus, which was different from stimulation during the rest of the growth phase. Metformin also resulted in alterations of several pathways, including energy production and conversion, lipid transport and metabolism, translation, ribosomal structure and biogenesis. Our results indicate that the timing for drug stimulation should be considered when studying drug-microbiome interactions in vitro.
2022-03-01 | PXD017390 | Pride
Project description:The human gut microbiota is a complex microbial community with critical functions for the host, including the transformation of various chemicals. While effects on microorganisms has been evaluated using single-species models, their functional effects within more complex microbial communities remain unclear. In this study, we investigated the response of a simplified human gut microbiota model (SIHUMIx) cultivated in an in vitro bioreactor system in combination with 96 deep-well plates after exposure to 90 different xenobiotics, comprising 54 plant protection products and 36 food additives and dyes, at environmentally relevant concentrations. We employed metaproteomics and metabolomics to evaluate changes in bacterial abundances, the production of Short Chain Fatty Acids (SCFAs), and the regulation of metabolic pathways. Our findings unveiled significant changes induced by 23 out of 54 plant protection products and 28 out of 36 food additives across all three categories assessed. Notable highlights include azoxystrobin, fluoroxypyr, and ethoxyquin causing a substantial reduction (log2FC <-0.5) in the concentrations of the primary SCFAs: acetate, butyrate, and propionate. Several food additives had significant effects on the relative abundances of bacterial species; for example, acid orange 7 and saccharin led to a 75% decrease in Clostridium butyricum, with saccharin causing an additional 2.5-fold increase in E. coli compared to the control. Furthermore, both groups exhibited up- and down-regulation of various pathways, including those related to the metabolism of amino acids such as histidine, valine, leucine, and isoleucine, as well as bacterial secretion systems and energy pathways like starch, sucrose, butanoate, and pyruvate metabolism. This research introduces an efficient in vitro technique that enables high-throughput screening of the structure and function of a simplified and well-defined human gut microbiota model against 90 chemicals using metaproteomics and metabolomics. We believe this approach will be instrumental in characterizing chemical-microbiota interactions especially important for regulatory chemical risk assessments.
2024-02-21 | PXD047410 | Pride
Project description:Effect of complementary food ingredients on the infant gut microbiome composition in vitro
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Project description:Background - Prepregnancy overweight and obesity promote deleterious health impacts on both mothers during pregnancy and the offspring. Significant changes in the maternal peripheral blood mononuclear cells (PBMCs) gene expression due to obesity are well-known. However, during pregnancy the impact of overweight on immune cell gene expression and its association with maternal and infant outcomes is not well explored. Methods – Blood samples were collected from healthy normal weight (NW, BMI 18.5-24.9) or overweight (OW, BMI 25-29.9) 2nd parity pregnant women at 12, 24 and 36 weeks of pregnancy. PBMCs were isolated from the blood and subjected to mRNA sequencing. Maternal and infant microbiota were analyzed by 16S rRNA gene sequencing. Integrative multi-omics data analysis was performed to evaluate the association of gene expression with maternal diet, gut microbiota, milk composition, and infant gut microbiota. Results - Gene expression analysis revealed that 453 genes were differentially expressed in the OW women compared to NW women at 12 weeks of pregnancy, out of which 354 were upregulated and 99 were downregulated. Several up-regulated genes in the OW group were enriched in inflammatory, chemokine-mediated signaling and regulation of interleukin-8 production-related pathways. At 36 weeks of pregnancy healthy eating index score was positively associated with several genes that include, DTD1, ELOC, GALNT8, ITGA6-AS1, KRT17P2, NPW, POT1-AS1 and RPL26. In addition, at 36 weeks of pregnancy, genes involved in adipocyte functions, such as NG2 and SMTNL1, were negatively correlated to human milk 2’FL and total fucosylated oligosaccharides content collected at 1 month postnatally. Furthermore, infant Akkermansia was positively associated with maternal PBMC anti-inflammatory genes that include CPS1 and RAB7B, at 12 and 36 weeks of pregnancy. Conclusions – These findings suggest that prepregnancy overweight impacts the immune cell gene expression profile, particularly at 12 weeks of pregnancy. Further, deciphering the complex association of PBMC’s gene expression levels with maternal gut microbiome and milk composition and infant gut microbiome may aid in developing strategies to mitigate obesity-mediated effects.
2024-08-27 | GSE273780 | GEO
Project description:An integrated metagenomics and metaproteomics investigation of human preterm infant gut microbiota.
2017-02-23 | MSV000080565 | MassIVE
Project description:Background: More than 100 million Americans are living with metabolic syndrome, increasing their propensity to develop heart disease– the leading cause of death worldwide. A major contributing factor to this epidemic is caloric excess, often a result of consuming low cost, high calorie fast food. Several recent seminal studies have demonstrated the pivotal role of gut microbes contributing to cardiovascular disease in a diet-dependent manner. Given the central contributions of diet and gut microbiota to cardiometabolic disease, we hypothesized that novel microbial metabolites originating postprandially after fast food consumption may contribute to cardiometabolic disease progression. Methods: To test this hypothesis, we gave conventionally raised or antibiotic-treated mice a single oral gavage of a fast food slurry or a control rodent chow diet slurry and sacrificed the mice four hours later. Here, we coupled untargeted metabolomics in portal and peripheral blood, 16S rRNA gene sequencing, targeted liver metabolomics, and host liver RNA sequencing to identify novel fast food-derived microbial metabolites. Results: We successfully identified several metabolites that were enriched in portal blood, increased by fast food feeding, and essentially absent in antibiotic-treated mice. Strikingly, just four hours post-gavage, we found that fast food consumption resulted in rapid reorganization of the gut microbial community structure and drastically altered hepatic gene expression. Importantly, diet-driven reshaping of the microbiome and liver transcriptome was dependent on a non-antibiotic ablated gut microbial community. Conclusions: Collectively, these data suggest that single fast food meal is sufficient to reshape the gut microbial community yielding a unique signature of food-derived microbial metabolites. Future studies are warranted to determine if these metabolites are causally linked to cardiometabolic disease.
2021-11-14 | GSE165756 | GEO
Project description:The gut microbiota-intestine-liver relationship is emerging as an important factor in multiple hepatic pathologies, but the hepatic sensors and effectors of microbial signals are not well defined. By comparing publicly available liver transcriptomics data from conventional vs. germ-free mice, we identified pregnane X receptor (PXR, NR1I2) transcriptional activity as strongly affected by the absence of gut microbes. Microbiota depletion in Pxr+/+ vs Pxr-/- C57Bl6/J mice revealed that most microbiota-sensitive genes were PXR-dependent in the liver in males, but not in females. Pathway enrichment analysis revealed that microbiota-PXR interaction controlled fatty-acid and xenobiotic metabolism. Antibiotic treatment reduced liver triglyceride content and hampered xenobiotic metabolism in livers from Pxr+/+ but not Pxr-/- male mice. These findings identify PXR as a hepatic effector of sexually dimorphic responses to microbiota-derived signals and reveal a potential new mechanism for unexpected drug-drug or food-drug interactions.
2020-08-26 | GSE156837 | GEO
Project description:The ERC “MINERVA” project (GA 724734) aims at developing a multi-organ-on-a-chip engineered platform to recapitulate in vitro the main players involved in the MGBA crosstalk: the microbiota, the gut epithelium, the immune system, the blood-brain barrier and the brain. In this context, the gut epithelium represents a physiological barrier that separates the intestinal lumen from the systemic circulation, and in several pathological circumstances, seems that its permeability might significantly increase and allow the passage of biologically active molecules into the blood vessels surrounding the intestinal mucosa. In the present work, we present our MINERVA 2.0 device and our innovative gut-on-a-chip device obtained by culturing in MINERVA 2.0 and a human gut epithelial CaCo2 cell based model. In particular, we have cultured the cells under perfusion and have assessed cell behavior by addressing cellular viability, tight junction imaging, apparent permeability by FITC-Dextran and transepithelial electrical resistance evaluation. Transcriptomic profile was used to further elucidate the effects of dynamic perfusion on Caco-2 cells.
2022-10-31 | E-MTAB-11949 | biostudies-arrayexpress
Project description:The increased consumption of various beverages has been paralleled by an epidemic of several intestinal diseases around the world, such as inflammatory bowel disease (IBD), irritable bowel syndrome (IBS) and colorectal cancer. Mounting evidence have shown that excessive consumption of beverages increases the risk of IBD and IBS. In addition, sugar-sweeter, food additives and food ingredients were identified to play important roles in these conditions. Consuming cold beverage is common among some people, especially in the youngsters. However, whether the cold stress contribute directly to host metabolism, gut barrier and gut-brain axis is unclear. In an intestinal function disorder model induced by cold water in mice, we investigated changes in gut transit, anxiety and depression like behavior. To evaluate the effect of cold water on gut barrier, we investigate the tight junctions in the colon. In addition, we employed RNA sequencing transcriptomic analysis to identify genes potentially driving the gut injury, and in parallel, examine the gut microbiota and metabolites in the feces.In an intestinal function disorder model induced by cold water in mice, we investigated changes in gut transit, anxiety and depression like behavior. To evaluate the effect of cold water on gut barrier, we investigate the tight junctions in the colon. In addition, we employed RNA sequencing transcriptomic analysis to identify genes potentially driving the gut injury, and in parallel, examine the gut microbiota and metabolites in the feces.
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