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In vitro and ex vivo systems at the forefront of infection modeling and drug discovery
Bacterial infections and antibiotic resistant bacteria have become a growing problem over the past decade. As a result, the Centers for Disease Control predict more deaths resulting from microorganisms than all cancers combined by 2050. Currently, many traditional models used to study bacterial infe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7172914/ https://www.ncbi.nlm.nih.gov/pubmed/30384974 http://dx.doi.org/10.1016/j.biomaterials.2018.10.030 |
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author | Shi, Di Mi, Gujie Wang, Mian Webster, Thomas J. |
author_facet | Shi, Di Mi, Gujie Wang, Mian Webster, Thomas J. |
author_sort | Shi, Di |
collection | PubMed |
description | Bacterial infections and antibiotic resistant bacteria have become a growing problem over the past decade. As a result, the Centers for Disease Control predict more deaths resulting from microorganisms than all cancers combined by 2050. Currently, many traditional models used to study bacterial infections fail to precisely replicate the in vivo bacterial environment. These models often fail to incorporate fluid flow, bio-mechanical cues, intercellular interactions, host-bacteria interactions, and even the simple inclusion of relevant physiological proteins in culture media. As a result of these inadequate models, there is often a poor correlation between in vitro and in vivo assays, limiting therapeutic potential. Thus, the urgency to establish in vitro and ex vivo systems to investigate the mechanisms underlying bacterial infections and to discover new-age therapeutics against bacterial infections is dire. In this review, we present an update of current in vitro and ex vivo models that are comprehensively changing the landscape of traditional microbiology assays. Further, we provide a comparative analysis of previous research on various established organ-disease models. Lastly, we provide insight on future techniques that may more accurately test new formulations to meet the growing demand of antibiotic resistant bacterial infections. |
format | Online Article Text |
id | pubmed-7172914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71729142020-04-22 In vitro and ex vivo systems at the forefront of infection modeling and drug discovery Shi, Di Mi, Gujie Wang, Mian Webster, Thomas J. Biomaterials Article Bacterial infections and antibiotic resistant bacteria have become a growing problem over the past decade. As a result, the Centers for Disease Control predict more deaths resulting from microorganisms than all cancers combined by 2050. Currently, many traditional models used to study bacterial infections fail to precisely replicate the in vivo bacterial environment. These models often fail to incorporate fluid flow, bio-mechanical cues, intercellular interactions, host-bacteria interactions, and even the simple inclusion of relevant physiological proteins in culture media. As a result of these inadequate models, there is often a poor correlation between in vitro and in vivo assays, limiting therapeutic potential. Thus, the urgency to establish in vitro and ex vivo systems to investigate the mechanisms underlying bacterial infections and to discover new-age therapeutics against bacterial infections is dire. In this review, we present an update of current in vitro and ex vivo models that are comprehensively changing the landscape of traditional microbiology assays. Further, we provide a comparative analysis of previous research on various established organ-disease models. Lastly, we provide insight on future techniques that may more accurately test new formulations to meet the growing demand of antibiotic resistant bacterial infections. Elsevier Ltd. 2019-04 2018-10-24 /pmc/articles/PMC7172914/ /pubmed/30384974 http://dx.doi.org/10.1016/j.biomaterials.2018.10.030 Text en © 2018 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Shi, Di Mi, Gujie Wang, Mian Webster, Thomas J. In vitro and ex vivo systems at the forefront of infection modeling and drug discovery |
title | In vitro and ex vivo systems at the forefront of infection modeling and drug discovery |
title_full | In vitro and ex vivo systems at the forefront of infection modeling and drug discovery |
title_fullStr | In vitro and ex vivo systems at the forefront of infection modeling and drug discovery |
title_full_unstemmed | In vitro and ex vivo systems at the forefront of infection modeling and drug discovery |
title_short | In vitro and ex vivo systems at the forefront of infection modeling and drug discovery |
title_sort | in vitro and ex vivo systems at the forefront of infection modeling and drug discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7172914/ https://www.ncbi.nlm.nih.gov/pubmed/30384974 http://dx.doi.org/10.1016/j.biomaterials.2018.10.030 |
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