Dataset Information

Data on changes to mucosal inflammation and the intestinal microbiota following dietary micronutrients in genetically susceptible hosts.

ABSTRACT: These data support the findings that dietary micronutrients influence the inflammatory responses and intestinal microbial community structure and function in a model of pouchitis-like small bowel inflammation reported in "Dietary Antioxidant Micronutrients Alter Mucosal Inflammatory Risk in a Murine Model of Genetic and Microbial Susceptibility" (Pierre et al., 2018) [1]. Briefly, wild-type and IL-10 deficient mice underwent surgical placement of small intestinal self-filling loops (SFL) and were subsequently fed purified control diet (CONT) or control diet supplemented with 4 micronutrients (AOX), retinoic acid, Vitamin C, Vitamin E, and selenium, for 14 days. These data include changes in host markers, such as body weight, mucosal levels of myeloperoxidase and syndecan-1, and luminal IgA and IgG levels. These data also include changes in the microbial compartment, including 16S community structure in the self-filling loop, conventionalized germ-free mice, and microbial substrate preference performed through anaerobic bacterial culturing of SLF CONT and AOX microbiota.

SUBMITTER: Pierre JF

PROVIDER: S-EPMC6116341 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Data on changes to mucosal inflammation and the intestinal microbiota following dietary micronutrients in genetically susceptible hosts.

Pierre J F JF Hinterleitner R R Bouziat R R Hubert N N Leone V V Miyoshi J J Jabri B B Chang E B EB

Data in brief 20180815

These data support the findings that dietary micronutrients influence the inflammatory responses and intestinal microbial community structure and function in a model of pouchitis-like small bowel inflammation reported in "Dietary Antioxidant Micronutrients Alter Mucosal Inflammatory Risk in a Murine Model of Genetic and Microbial Susceptibility" (Pierre et al., 2018) [1]. Briefly, wild-type and IL-10 deficient mice underwent surgical placement of small intestinal self-filling loops (SFL) and wer ...[more]

PMID: 30175203

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Project description:BACKGROUND:To determine how diets high in saturated fat could increase polyp formation in the mouse model of intestinal neoplasia, ApcMin/+, we conducted large-scale metabolome analysis and association study of colon and small intestine polyp formation from plasma and liver samples of ApcMin/+ vs. wild-type littermates, kept on low vs. high-fat diet. Label-free mass spectrometry was used to quantify untargeted plasma and acyl-CoA liver compounds, respectively. Differences in contrasts of interest were analyzed statistically by unsupervised and supervised modeling approaches, namely Principal Component Analysis and Linear Model of analysis of variance. Correlation between plasma metabolite concentrations and polyp numbers was analyzed with a zero-inflated Generalized Linear Model. RESULTS:Plasma metabolome in parallel to promotion of tumor development comprises a clearly distinct profile in ApcMin/+ mice vs. wild type littermates, which is further altered by high-fat diet. Further, functional metabolomics pathway and network analyses in ApcMin/+ mice on high-fat diet revealed associations between polyp formation and plasma metabolic compounds including those involved in amino-acids metabolism as well as nicotinamide and hippuric acid metabolic pathways. Finally, we also show changes in liver acyl-CoA profiles, which may result from a combination of ApcMin/+-mediated tumor progression and high fat diet. The biological significance of these findings is discussed in the context of intestinal cancer progression. CONCLUSIONS:These studies show that high-throughput metabolomics combined with appropriate statistical modeling and large scale functional approaches can be used to monitor and infer changes and interactions in the metabolome and genome of the host under controlled experimental conditions. Further these studies demonstrate the impact of diet on metabolic pathways and its relation to intestinal cancer progression. Based on our results, metabolic signatures and metabolic pathways of polyposis and intestinal carcinoma have been identified, which may serve as useful targets for the development of therapeutic interventions.

Dataset Information

Data on changes to mucosal inflammation and the intestinal microbiota following dietary micronutrients in genetically susceptible hosts.

Publications

Data on changes to mucosal inflammation and the intestinal microbiota following dietary micronutrients in genetically susceptible hosts.

Similar Datasets

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