Literature DB >> 31944675

cAST: Capillary-Based Platform for Real-Time Phenotypic Antimicrobial Susceptibility Testing.

Ruisheng Wang1, Sasank Vemulapati2, Lars F Westblade3,4, Marshall J Glesby4, Saurabh Mehta5, David Erickson1,5.   

Abstract

Antimicrobial resistance is recognized as one of the greatest emerging threats to public health. Antimicrobial resistant (AMR) microorganisms affect nearly 2 million people a year in the United States alone and place an estimated $20 billion burden on the healthcare system. The rise of AMR microorganisms can be attributed to a combination of overprescription of antimicrobials and a lack of accessible diagnostic methods. Delayed diagnosis is one of the primary reasons for empiric therapy, and diagnostic methods that enable rapid and accurate results are highly desirable to facilitate evidence-based treatment. This is particularly true for clinical situations at the point-of-care where access to state-of-the-art diagnostic equipment is scarce. Here, we present a capillary-based antimicrobial susceptibility testing platform (cAST), a unique approach that offers accelerated assessment of antimicrobial susceptibility in a low-cost and simple testing format. cAST delivers an expedited time-to-readout by means of optical assessment of bacteria incubated in a small capillary form factor along with a resazurin dye. cAST was designed using a combination of off-the-shelf and custom 3D-printed parts, making it extremely suitable for use in resource-limited settings. We demonstrate that growth of bacteria in cAST is approximately 25% faster than in a conventional microplate, further validate the diagnostic performance with clinical isolates, and show that cAST can deliver accurate antimicrobial susceptibility test results within 4-8 h.

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Year:  2020        PMID: 31944675     DOI: 10.1021/acs.analchem.9b04991

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

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Journal:  Appl Microbiol Biotechnol       Date:  2022-04-29       Impact factor: 5.560

2.  Visible colorimetric growth indicators of Neisseria gonorrhoeae for low-cost diagnostic applications.

Authors:  Taylor Mae Oeschger; David Carl Erickson
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

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Authors:  Alexander Macdonald; Lucy A Hawkes; Damion K Corrigan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-06-28       Impact factor: 6.671

  3 in total

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