MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis

Abstract In vitro models of the human colon have been used extensively in understanding the human gut microbiome (GM) and evaluating how internal and external factors affect the residing bacterial populations. Such models have been shown to be highly predictive of in vivo outcomes and have a number...

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Main Authors: William A. Davis Birch, Ines B. Moura, Duncan J. Ewin, Mark H. Wilcox, Anthony M. Buckley, Peter R. Culmer, Nikil Kapur
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:Microbial Biotechnology
Online Access:https://doi.org/10.1111/1751-7915.14259
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author William A. Davis Birch
Ines B. Moura
Duncan J. Ewin
Mark H. Wilcox
Anthony M. Buckley
Peter R. Culmer
Nikil Kapur
author_facet William A. Davis Birch
Ines B. Moura
Duncan J. Ewin
Mark H. Wilcox
Anthony M. Buckley
Peter R. Culmer
Nikil Kapur
author_sort William A. Davis Birch
collection DOAJ
description Abstract In vitro models of the human colon have been used extensively in understanding the human gut microbiome (GM) and evaluating how internal and external factors affect the residing bacterial populations. Such models have been shown to be highly predictive of in vivo outcomes and have a number of advantages over animal models. The complexity required by in vitro models to closely mimic the physiology of the colon poses practical limits on their scalability. The scalable Mini Gut (MiGut) platform presented in this paper allows considerable expansion of model replicates and enables complex study design, without compromising on in vivo reflectiveness as is often the case with other model systems. MiGut has been benchmarked against a validated gut model in a demanding 9‐week study. MiGut showed excellent repeatability between model replicates and results were consistent with those of the benchmark system. The novel technology presented in this paper makes it conceivable that tens of models could be run simultaneously, allowing complex microbiome‐xenobiotic interactions to be explored in far greater detail, with minimal added resources or complexity. This platform expands the capacity to generate clinically relevant data to support our understanding of the cause‐effect relationships that govern the GM.
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spelling doaj.art-96bcc92db8c84323b148abb3b6b3c9d72023-05-27T09:33:44ZengWileyMicrobial Biotechnology1751-79152023-06-011661312132410.1111/1751-7915.14259MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosisWilliam A. Davis Birch0Ines B. Moura1Duncan J. Ewin2Mark H. Wilcox3Anthony M. Buckley4Peter R. Culmer5Nikil Kapur6School of Mechanical Engineering University of Leeds Woodhouse Lane Leeds LS2 9JT UKHealthcare‐Associated Infections Group Leeds Institute of Medical Research, Faculty of Medicine and Health, University of Leeds Leeds LS2 9JT UKHealthcare‐Associated Infections Group Leeds Institute of Medical Research, Faculty of Medicine and Health, University of Leeds Leeds LS2 9JT UKHealthcare‐Associated Infections Group Leeds Institute of Medical Research, Faculty of Medicine and Health, University of Leeds Leeds LS2 9JT UKHealthcare‐Associated Infections Group Leeds Institute of Medical Research, Faculty of Medicine and Health, University of Leeds Leeds LS2 9JT UKSchool of Mechanical Engineering University of Leeds Woodhouse Lane Leeds LS2 9JT UKSchool of Mechanical Engineering University of Leeds Woodhouse Lane Leeds LS2 9JT UKAbstract In vitro models of the human colon have been used extensively in understanding the human gut microbiome (GM) and evaluating how internal and external factors affect the residing bacterial populations. Such models have been shown to be highly predictive of in vivo outcomes and have a number of advantages over animal models. The complexity required by in vitro models to closely mimic the physiology of the colon poses practical limits on their scalability. The scalable Mini Gut (MiGut) platform presented in this paper allows considerable expansion of model replicates and enables complex study design, without compromising on in vivo reflectiveness as is often the case with other model systems. MiGut has been benchmarked against a validated gut model in a demanding 9‐week study. MiGut showed excellent repeatability between model replicates and results were consistent with those of the benchmark system. The novel technology presented in this paper makes it conceivable that tens of models could be run simultaneously, allowing complex microbiome‐xenobiotic interactions to be explored in far greater detail, with minimal added resources or complexity. This platform expands the capacity to generate clinically relevant data to support our understanding of the cause‐effect relationships that govern the GM.https://doi.org/10.1111/1751-7915.14259
spellingShingle William A. Davis Birch
Ines B. Moura
Duncan J. Ewin
Mark H. Wilcox
Anthony M. Buckley
Peter R. Culmer
Nikil Kapur
MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis
Microbial Biotechnology
title MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis
title_full MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis
title_fullStr MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis
title_full_unstemmed MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis
title_short MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis
title_sort migut a scalable in vitro platform for simulating the human gut microbiome development validation and simulation of antibiotic induced dysbiosis
url https://doi.org/10.1111/1751-7915.14259
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