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A Single-Batch Fermentation System to Simulate Human Colonic Microbiota for High-Throughput Evaluation of Prebiotics
Risa Takagi1, Kengo Sasaki2, Daisuke Sasaki2
1Department of Bioresource Science, Graduate School of Agricultural Science, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, Hyogo 657-8501, Japan.
Plos One
|August 3, 2016
Summary
A novel fermentation system accurately models human colonic microbiota diversity and metabolism. Supplementing with prebiotics boosted beneficial Bifidobacterium populations, suggesting its use for preclinical prebiotic evaluation.
Area of Science:
- Microbiology
- Gastroenterology
Background:
- Human colonic microbiota plays a crucial role in health.
- Accurate in vitro models are needed for studying gut microbial ecology and function.
Purpose of the Study:
- To develop a simple, single-batch fermentation system to simulate human colonic microbiota.
- To evaluate the system's ability to mimic microbial diversity and metabolic activity.
- To assess the impact of prebiotic supplementation on the simulated microbiota.
Main Methods:
- Human fecal samples were used to inoculate a single-batch fermentation system.
- Microbial community composition was analyzed using 16S rRNA gene sequencing.
- Metabolite production (acetate, lactate, succinate, propionate, butyrate) was measured over time.
- The system was supplemented with various prebiotic oligosaccharides.
Main Results:
- The system achieved high microbial densities (up to 10^11 cells/mL) within 24 hours.
- Bacterial phyla composition and species diversity mirrored original fecal samples.
- Metabolic profiles, including short-chain fatty acid production, were consistent with in vivo conditions.
- Prebiotic supplementation significantly increased Bifidobacterium populations and acetate production.
Conclusions:
- The developed fermentation system effectively simulates human colonic microbiota diversity and metabolism.
- The system shows promise for in vitro, preclinical evaluation of prebiotics and their effects on gut bacteria.
