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

Area of Science:

• Microbiology
• Metabolism
• Gastroenterology

Background:

• The gut microbiota significantly influences human metabolism via macronutrient interactions.
• Studying microbiota-diet-host interactions is challenging due to complex microbial ecosystems and uncharacterized bacteria.

Purpose of the Study:

• To develop and utilize a simplified intestinal microbiota (SIM) mouse model to dissect microbiota-diet-host interactions.
• To investigate the impact of dietary fiber, saturated fat, and sucrose on microbial community dynamics and host metabolism.

Main Methods:

• Colonization of mice with a ten-strain simplified intestinal microbiota (SIM) from the human gut.
• Feeding SIM mice with fiber-rich (chow) or low-fiber (high-fat/high-sucrose, zero-fat/high-sucrose) diets.
• Analysis of microbial community abundance and transcriptome, circulating metabolites, and host metabolic parameters.

Main Results:

• The study assessed how different diets alter the SIM community's composition and gene expression.
• Circulating metabolites were analyzed to understand microbe-diet interplay.
• Host metabolic responses to varying microbiota-diet interactions were investigated.

Conclusions:

• The simplified intestinal microbiota (SIM) mouse model offers a tractable system for studying complex gut microbiota-diet-host interactions.
• This model provides a foundation for future research into the role of microbiota-diet interactions in metabolic diseases.