An In Vivo Platform for Rapid High-Throughput Antitubercular Drug Discovery
Treatment of tuberculosis, like other infectious diseases, is increasingly hindered by the emergence of drug resistance. Drug discovery efforts would be facilitated by facile screening tools that incorporate the complexities of human disease. Mycobacterium marinum-infected zebrafish larvae recapitu...
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2012-07-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124712001684 |
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doaj-0f8b024d25f8417a87b08a546942a4dc2020-11-25T01:52:32ZengElsevierCell Reports2211-12472012-07-012117518410.1016/j.celrep.2012.06.008An In Vivo Platform for Rapid High-Throughput Antitubercular Drug DiscoveryKevin Takaki0Christine L. Cosma1Mark A. Troll2Lalita Ramakrishnan3Department of Microbiology, University of Washington, Seattle, WA, 98195, USADepartment of Microbiology, University of Washington, Seattle, WA, 98195, USAAaron Thermal Technologies, Seattle, WA 98195, USADepartment of Microbiology, University of Washington, Seattle, WA, 98195, USA Treatment of tuberculosis, like other infectious diseases, is increasingly hindered by the emergence of drug resistance. Drug discovery efforts would be facilitated by facile screening tools that incorporate the complexities of human disease. Mycobacterium marinum-infected zebrafish larvae recapitulate key aspects of tuberculosis pathogenesis and drug treatment. Here, we develop a model for rapid in vivo drug screening using fluorescence-based methods for serial quantitative assessment of drug efficacy and toxicity. We provide proof-of-concept that both traditional bacterial-targeting antitubercular drugs and newly identified host-targeting drugs would be discovered through the use of this model. We demonstrate the model’s utility for the identification of synergistic combinations of antibacterial drugs and demonstrate synergy between bacterial- and host-targeting compounds. Thus, the platform can be used to identify new antibacterial agents and entirely new classes of drugs that thwart infection by targeting host pathways. The methods developed here should be widely applicable to small-molecule screens for other infectious and noninfectious diseases. http://www.sciencedirect.com/science/article/pii/S2211124712001684 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kevin Takaki Christine L. Cosma Mark A. Troll Lalita Ramakrishnan |
spellingShingle |
Kevin Takaki Christine L. Cosma Mark A. Troll Lalita Ramakrishnan An In Vivo Platform for Rapid High-Throughput Antitubercular Drug Discovery Cell Reports |
author_facet |
Kevin Takaki Christine L. Cosma Mark A. Troll Lalita Ramakrishnan |
author_sort |
Kevin Takaki |
title |
An In Vivo Platform for Rapid High-Throughput Antitubercular Drug Discovery |
title_short |
An In Vivo Platform for Rapid High-Throughput Antitubercular Drug Discovery |
title_full |
An In Vivo Platform for Rapid High-Throughput Antitubercular Drug Discovery |
title_fullStr |
An In Vivo Platform for Rapid High-Throughput Antitubercular Drug Discovery |
title_full_unstemmed |
An In Vivo Platform for Rapid High-Throughput Antitubercular Drug Discovery |
title_sort |
in vivo platform for rapid high-throughput antitubercular drug discovery |
publisher |
Elsevier |
series |
Cell Reports |
issn |
2211-1247 |
publishDate |
2012-07-01 |
description |
Treatment of tuberculosis, like other infectious diseases, is increasingly hindered by the emergence of drug resistance. Drug discovery efforts would be facilitated by facile screening tools that incorporate the complexities of human disease. Mycobacterium marinum-infected zebrafish larvae recapitulate key aspects of tuberculosis pathogenesis and drug treatment. Here, we develop a model for rapid in vivo drug screening using fluorescence-based methods for serial quantitative assessment of drug efficacy and toxicity. We provide proof-of-concept that both traditional bacterial-targeting antitubercular drugs and newly identified host-targeting drugs would be discovered through the use of this model. We demonstrate the model’s utility for the identification of synergistic combinations of antibacterial drugs and demonstrate synergy between bacterial- and host-targeting compounds. Thus, the platform can be used to identify new antibacterial agents and entirely new classes of drugs that thwart infection by targeting host pathways. The methods developed here should be widely applicable to small-molecule screens for other infectious and noninfectious diseases.
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url |
http://www.sciencedirect.com/science/article/pii/S2211124712001684 |
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