Literature DB >> 23172338

Rapid antibiotic susceptibility testing by tracking single cell growth in a microfluidic agarose channel system.

Jungil Choi1, Yong-Gyun Jung, Jeewoo Kim, Sungbum Kim, Yushin Jung, Hunjong Na, Sunghoon Kwon.   

Abstract

Sepsis is one of the major causes of death in the US, necessitating rapid treatment with proper antibiotics. Conventional systems for antibiotic susceptibility testing (AST) take far too long (16-24 h) for the timely treatment of sepsis. This is because they rely on measuring optical density, which relates to bacterial growth, to determine the minimal inhibitory concentrations (MICs) of relevant antibiotics. Thus, there is a desperate need for more improved and rapid AST (RAST) systems. The RAST system can also reduce the growing number of clinical problems that are associated with antibiotic resistance caused by methicillin-resistant Staphylococcus aureus, vancomycin-resistant Staphylococcus aureus, and vancomycin-resistant enterococci. In this study, we demonstrate a microfluidic agarose channel (MAC) system that reduces the AST assay time for determining MICs by single bacterial time lapse imaging. The MAC system immobilizes bacteria by using agarose in a microfluidic culture chamber so that single cell growth can be tracked by microscopy. Time lapse images of single bacterial cells under different antibiotic culture conditions were analyzed by image processing to determine MICs. Three standard bacteria from the Clinical and Laboratory Standard Institute (CLSI) were tested with several kinds of antibiotics. MIC values that were well matched with those of the CLSI were obtained within only 3-4 h. We expect that the MAC system can offer rapid diagnosis of sepsis and thus, more efficient and proper medication in the clinical setting.

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Year:  2012        PMID: 23172338     DOI: 10.1039/c2lc41055a

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  44 in total

1.  Embedded biofilm, a new biofilm model based on the embedded growth of bacteria.

Authors:  Yong-Gyun Jung; Jungil Choi; Soo-Kyoung Kim; Joon-Hee Lee; Sunghoon Kwon
Journal:  Appl Environ Microbiol       Date:  2014-10-17       Impact factor: 4.792

2.  Hydrogel-based microfluidic incubator for microorganism cultivation and analyses.

Authors:  Dietmar Puchberger-Enengl; Sander van den Driesche; Christian Krutzler; Franz Keplinger; Michael J Vellekoop
Journal:  Biomicrofluidics       Date:  2015-02-27       Impact factor: 2.800

3.  Adaptable microfluidic system for single-cell pathogen classification and antimicrobial susceptibility testing.

Authors:  Hui Li; Peter Torab; Kathleen E Mach; Christine Surrette; Matthew R England; David W Craft; Neal J Thomas; Joseph C Liao; Chris Puleo; Pak Kin Wong
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-08       Impact factor: 11.205

4.  Direct Antimicrobial Susceptibility Testing on Clinical Urine Samples by Optical Tracking of Single Cell Division Events.

Authors:  Fenni Zhang; Jiapei Jiang; Michelle McBride; Yunze Yang; Manni Mo; Rafael Iriya; Joseph Peterman; Wenwen Jing; Thomas Grys; Shelley E Haydel; Nongjian Tao; Shaopeng Wang
Journal:  Small       Date:  2020-11-30       Impact factor: 13.281

5.  Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging.

Authors:  Özden Baltekin; Alexis Boucharin; Eva Tano; Dan I Andersson; Johan Elf
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-08       Impact factor: 11.205

6.  Rapid antibiotic susceptibility testing based on bacterial motion patterns with long short-term memory neural networks.

Authors:  Rafael Iriya; Wenwen Jing; Karan Syal; Manni Mo; Chao Chen; Hui Yu; Shelley E Haydel; Shaopeng Wang; Nongjian Tao
Journal:  IEEE Sens J       Date:  2020-01-17       Impact factor: 3.301

7.  Rapid antibiotic sensitivity testing in microwell arrays.

Authors:  Fatemeh Jalali; Felix Ellett; Daniel Irimia
Journal:  Technology (Singap World Sci)       Date:  2017-05-16

8.  Microfluidic advances in phenotypic antibiotic susceptibility testing.

Authors:  Jennifer Campbell; Christine McBeth; Maxim Kalashnikov; Anna K Boardman; Andre Sharon; Alexis F Sauer-Budge
Journal:  Biomed Microdevices       Date:  2016-12       Impact factor: 2.838

Review 9.  Microfluidics expanding the frontiers of microbial ecology.

Authors:  Roberto Rusconi; Melissa Garren; Roman Stocker
Journal:  Annu Rev Biophys       Date:  2014       Impact factor: 12.981

10.  Emerging Microtechnologies and Automated Systems for Rapid Bacterial Identification and Antibiotic Susceptibility Testing.

Authors:  Yiyan Li; Xing Yang; Weian Zhao
Journal:  SLAS Technol       Date:  2017-08-29       Impact factor: 3.047

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