An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota
An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota
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DOI：
10.3791/59524
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发表时间：
2019-07-01
影响因子：
1.2
通讯作者：
Yadav, Hariom
中科院分区：
文献类型：
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作者：
Ahmadi, Shokouh;Wang, Shaohua;Yadav, Hariom
肠道微生物群在几种人类疾病中的新作用要求新的工具、技术和技术取得突破。需要这样的改进来破译微生物组调节剂对人类健康益处的利用。然而，由于需要大量的动物和/或人类受试者，大规模筛选和优化调节剂以验证微生物组的调节并预测相关的健康益处实际上可能很困难。为此，体外或离体模型可以促进微生物组调节剂的初步筛选。本文优化并展示了一种体外粪便微生物群培养系统，该系统可用于检测肠道微生物群调节剂的各种干预措施，包括益生菌、益生元和其他食品成分，除了营养品和药物，对人类肠道微生物群的多样性和组成的影响。菊粉是研究最广泛的益生元化合物和微生物组调节剂之一，本文以菊粉为例，研究其对健康粪便微生物群组成及其代谢活性的影响，如粪便pH值和粪便有机酸（包括乳酸和短链脂肪酸）的水平。该方案可能有助于旨在估计不同调节剂干预对粪便微生物群的影响并预测其对健康的影响的研究。
The emerging role of the gut microbiome in several human diseases demands a breakthrough of new tools, techniques and technologies. Such improvements are needed to decipher the utilization of microbiome modulators for human health benefits. However, the large-scale screening and optimization of modulators to validate microbiome modulation and predict related health benefits may be practically difficult due to the need for large number of animals and/or human subjects. To this end, in vitro or ex vivo models can facilitate preliminary screening of microbiome modulators. Herein, it is optimized and demonstrated an ex vivo fecal microbiota culture system that can be used for examining the effects of various interventions of gut microbiome modulators including probiotics, prebiotics and other food ingredients, aside from nutraceuticals and drugs, on the diversity and composition of the human gut microbiota. Inulin, one of the most widely studied prebiotic compounds and microbiome modulators, is used as an example here to examine its effect on the healthy fecal microbiota composition and its metabolic activities, such as fecal pH and the fecal levels of organic acids including lactate and short-chain fatty acids (SCFAs). The protocol may be useful for studies aimed at estimating the effects of different interventions of modulators on fecal microbiota profiles and at predicting their health impacts.