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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Main Authors: Kevin Takaki, Christine L. Cosma, Mark A. Troll, Lalita Ramakrishnan
Format: Article
Language:English
Published: Elsevier 2012-07-01
Series:Cell Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S2211124712001684
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spelling 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.
url http://www.sciencedirect.com/science/article/pii/S2211124712001684
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