Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling by array of colonic epithelial cells from mice starved, subsequently refed with or without antibiotics metronidazol and vancomycin

ABSTRACT: Oral food intake maintains gastrointestinal cell turnover and impacts the morphology and function of intestinal epithelial cells. However, the underlying mechanism is not fully elucidated, especially in the large intestine. Therefore, we analyzed the colonic epithelial cell turnover in starved and re-fed mice. EpCAM+CD45- colonic epithelial cells (ECs) in re-fed mice treated with or without antibiotics were isolated and sorted by FACS for RNA extraction and hybridization on Affymetrix microarrays.

ORGANISM(S): Mus musculus

SUBMITTER: Shinji Fukuda

PROVIDER: E-GEOD-40370 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Microbiota-derived lactate accelerates colon epithelial cell turnover in starvation-refed mice.

Okada Toshihiko T Fukuda Shinji S Hase Koji K Nishiumi Shin S Izumi Yoshihiro Y Yoshida Masaru M Hagiwara Teruki T Kawashima Rei R Yamazaki Motomi M Oshio Tomoyuki T Otsubo Takeshi T Inagaki-Ohara Kyoko K Kakimoto Kazuki K Higuchi Kazuhide K Kawamura Yuki I YI Ohno Hiroshi H Dohi Taeko T

Nature communications 20130101

Oral food intake influences the morphology and function of intestinal epithelial cells and maintains gastrointestinal cell turnover. However, how exactly these processes are regulated, particularly in the large intestine, remains unclear. Here we identify microbiota-derived lactate as a major factor inducing enterocyte hyperproliferation in starvation-refed mice. Using bromodeoxyuridine staining, we show that colonic epithelial cell turnover arrests during a 12- to 36-h period of starvation and ...[more]

PMID: 23552069

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Project description:Colorectal cancer risk is associated with diets high in red meat. Heme, the pigment of red meat, induces cytotoxicity of colonic contents and elicits epithelial damage and compensatory hyperproliferation, leading to hyperplasia. Here we explore the possible causal role of the gut microbiota in heme-induced hyperproliferation. To this end, mice were fed a purified control or heme diet (0.5 μmol/g heme) with or without broad-spectrum antibiotics for 14 d. Heme-induced hyperproliferation was shown to depend on the presence of the gut microbiota, because hyperproliferation was completely eliminated by antibiotics, although heme-induced luminal cytotoxicity was sustained in these mice. Colon mucosa transcriptomics revealed that antibiotics block heme-induced differential expression of oncogenes, tumor suppressors, and cell turnover genes, implying that antibiotic treatment prevented the heme-dependent cytotoxic micelles to reach the epithelium. Our results indicate that this occurs because antibiotics reinforce the mucus barrier by eliminating sulfide-producing bacteria and mucin-degrading bacteria (e.g., Akkermansia). Sulfide potently reduces disulfide bonds and can drive mucin denaturation and microbial access to the mucus layer. This reduction results in formation of trisulfides that can be detected in vitro and in vivo. Therefore, trisulfides can serve as a novel marker of colonic mucolysis and thus as a proxy for mucus barrier reduction. In feces, antibiotics drastically decreased trisulfides but increased mucin polymers that can be lysed by sulfide. We conclude that the gut microbiota is required for heme-induced epithelial hyperproliferation and hyperplasia because of the capacity to reduce mucus barrier function. Mice were fed a Westernized high fat control diet, or the same diet supplemented with 0.5 µmol heme/g diet. One group of control and one group of heme mice received a mixture of broad spectrum Antibiotics (Abx) (ampicilin, neomycin and metronidazole) in their drinking water. After 14 days of intervention, mice were killed and gene expression was profiled in colon.

Project description:Leber2015 - Mucosal immunity and gut microbiome interaction during C. difficile infection This model is described in the article: Systems Modeling of Interactions between Mucosal Immunity and the Gut Microbiome during Clostridium difficile Infection. Leber A, Viladomiu M, Hontecillas R, Abedi V, Philipson C, Hoops S, Howard B, Bassaganya-Riera J. PLoS ONE 2015; 10(7): e0134849 Abstract: Clostridium difficile infections are associated with the use of broad-spectrum antibiotics and result in an exuberant inflammatory response, leading to nosocomial diarrhea, colitis and even death. To better understand the dynamics of mucosal immunity during C. difficile infection from initiation through expansion to resolution, we built a computational model of the mucosal immune response to the bacterium. The model was calibrated using data from a mouse model of C. difficile infection. The model demonstrates a crucial role of T helper 17 (Th17) effector responses in the colonic lamina propria and luminal commensal bacteria populations in the clearance of C. difficile and colonic pathology, whereas regulatory T (Treg) cells responses are associated with the recovery phase. In addition, the production of anti-microbial peptides by inflamed epithelial cells and activated neutrophils in response to C. difficile infection inhibit the re-growth of beneficial commensal bacterial species. Computational simulations suggest that the removal of neutrophil and epithelial cell derived anti-microbial inhibitions, separately and together, on commensal bacterial regrowth promote recovery and minimize colonic inflammatory pathology. Simulation results predict a decrease in colonic inflammatory markers, such as neutrophilic influx and Th17 cells in the colonic lamina propria, and length of infection with accelerated commensal bacteria re-growth through altered anti-microbial inhibition. Computational modeling provides novel insights on the therapeutic value of repopulating the colonic microbiome and inducing regulatory mucosal immune responses during C. difficile infection. Thus, modeling mucosal immunity-gut microbiota interactions has the potential to guide the development of targeted fecal transplantation therapies in the context of precision medicine interventions. This model is hosted on BioModels Database and identified by: BIOMD0000000583. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Transcription profiling by array of colonic epithelial cells from mice starved, subsequently refed with or without antibiotics metronidazol and vancomycin

Publications

Microbiota-derived lactate accelerates colon epithelial cell turnover in starvation-refed mice.

Similar Datasets

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