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An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota.
Ahmadi, Shokouh; Wang, Shaohua; Nagpal, Ravinder; Mainali, Rabina; Soleimanian-Zad, Sabihe; Kitzman, Dalane; Yadav, Hariom.
Affiliation
  • Ahmadi S; Department of Internal Medicine- Molecular Medicine, Wake Forest School of Medicine; Department of Microbiology and Immunology, Wake Forest School of Medicine; Department of Food Science and Technology, Isfahan University of Technology.
  • Wang S; Department of Internal Medicine- Molecular Medicine, Wake Forest School of Medicine; Department of Microbiology and Immunology, Wake Forest School of Medicine.
  • Nagpal R; Department of Internal Medicine- Molecular Medicine, Wake Forest School of Medicine; Department of Microbiology and Immunology, Wake Forest School of Medicine.
  • Mainali R; Department of Internal Medicine- Molecular Medicine, Wake Forest School of Medicine; Department of Microbiology and Immunology, Wake Forest School of Medicine.
  • Soleimanian-Zad S; Department of Food Science and Technology, Isfahan University of Technology; Research Institute for Biotechnology and Bioengineering, College of Agriculture, Isfahan University of Technology.
  • Kitzman D; Department of Geriatrics and Gerontology, Wake Forest School of Medicine.
  • Yadav H; Department of Internal Medicine- Molecular Medicine, Wake Forest School of Medicine; Department of Microbiology and Immunology, Wake Forest School of Medicine; hyadav@wakehealth.edu.
J Vis Exp ; (149)2019 07 31.
Article in En | MEDLINE | ID: mdl-31424444
ABSTRACT
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA, Bacterial / Lactic Acid / Fatty Acids, Volatile / Feces / Microbiota / Inulin Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: J Vis Exp Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA, Bacterial / Lactic Acid / Fatty Acids, Volatile / Feces / Microbiota / Inulin Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: J Vis Exp Year: 2019 Document type: Article