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

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 advant...

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Autores principales: Davis Birch, William A., Moura, Ines B., Ewin, Duncan J., Wilcox, Mark H., Buckley, Anthony M., Culmer, Peter R., Kapur, Nikil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221534/
https://www.ncbi.nlm.nih.gov/pubmed/37035991
http://dx.doi.org/10.1111/1751-7915.14259
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author Davis Birch, William A.
Moura, Ines B.
Ewin, Duncan J.
Wilcox, Mark H.
Buckley, Anthony M.
Culmer, Peter R.
Kapur, Nikil
author_facet Davis Birch, William A.
Moura, Ines B.
Ewin, Duncan J.
Wilcox, Mark H.
Buckley, Anthony M.
Culmer, Peter R.
Kapur, Nikil
author_sort Davis Birch, William A.
collection PubMed
description 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 pubmed-102215342023-05-28 MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis Davis Birch, William A. Moura, Ines B. Ewin, Duncan J. Wilcox, Mark H. Buckley, Anthony M. Culmer, Peter R. Kapur, Nikil Microb Biotechnol Research Articles 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. John Wiley and Sons Inc. 2023-04-10 /pmc/articles/PMC10221534/ /pubmed/37035991 http://dx.doi.org/10.1111/1751-7915.14259 Text en © 2023 The Authors. Microbial Biotechnology published by Applied Microbiology International and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Davis Birch, William A.
Moura, Ines B.
Ewin, Duncan J.
Wilcox, Mark H.
Buckley, Anthony M.
Culmer, Peter R.
Kapur, Nikil
MiGut: A scalable in vitro platform for simulating the human gut microbiome—Development, validation and simulation of antibiotic‐induced dysbiosis
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
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221534/
https://www.ncbi.nlm.nih.gov/pubmed/37035991
http://dx.doi.org/10.1111/1751-7915.14259
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