Simplified Intestinal Microbiota to Study Microbe-Diet-Host Interactions in a Mouse Model

Research output: Contribution to journalJournal article – Annual report year: 2019Researchpeer-review



  • Author: Kovatcheva-Datchary, Petia

    University of Gothenburg, Sweden

  • Author: Shoaie, Saeed

    King’s College London, United Kingdom

  • Author: Lee, Sunjae

    King’s College London, United Kingdom

  • Author: Wahlström, Annika

    University of Gothenburg, Sweden

  • Author: Nookaew, Intawat

  • Author: Hallen, Anna

    University of Gothenburg, Sweden

  • Author: Perkins, Rosie

    University of Gothenburg, Sweden

  • Author: Nielsen, Jens

    Yeast Cell Factories, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, 2800, Kgs. Lyngby, Denmark

  • Author: Bäckhed, Fredrik

    University of Gothenburg, Sweden

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The gut microbiota can modulate human metabolism through interactions with macronutrients. However, microbiota-diet-host interactions are difficult to study because bacteria interact in complex food webs in concert with the host, and many of the bacteria are not yet characterized. To reduce the complexity, we colonize mice with a simplified intestinal microbiota (SIM) composed of ten sequenced strains isolated from the human gut with complementing pathways to metabolize dietary fibers. We feed the SIM mice one of three diets (chow [fiber rich], high-fat/high-sucrose, or zero-fat/high-sucrose diets [both low in fiber]) and investigate (1) how dietary fiber, saturated fat, and sucrose affect the abundance and transcriptome of the SIM community, (2) the effect of microbe-diet interactions on circulating metabolites, and (3) how microbiota-diet interactions affect host metabolism. Our SIM model can be used in future studies to help clarify how microbiota-diet interactions contribute to metabolic diseases.
Original languageEnglish
JournalCell Reports
Issue number13
Pages (from-to)3772-3783
Number of pages18
Publication statusPublished - 2019
CitationsWeb of Science® Times Cited: No match on DOI

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