Literature DB >> 32350139

All-electrical monitoring of bacterial antibiotic susceptibility in a microfluidic device.

Yichao Yang1,2, Kalpana Gupta3,4, Kamil L Ekinci5,2.   

Abstract

The lack of rapid antibiotic susceptibility tests adversely affects the treatment of bacterial infections and contributes to increased prevalence of multidrug-resistant bacteria. Here, we describe an all-electrical approach that allows for ultrasensitive measurement of growth signals from only tens of bacteria in a microfluidic device. Our device is essentially a set of microfluidic channels, each with a nanoconstriction at one end and cross-sectional dimensions close to that of a single bacterium. Flowing a liquid bacteria sample (e.g., urine) through the microchannels rapidly traps the bacteria in the device, allowing for subsequent incubation in drugs. We measure the electrical resistance of the microchannels, which increases (or decreases) in proportion to the number of bacteria in the microchannels. The method and device allow for rapid antibiotic susceptibility tests in about 2 h. Further, the short-time fluctuations in the electrical resistance during an antibiotic susceptibility test are correlated with the morphological changes of bacteria caused by the antibiotic. In contrast to other electrical approaches, the underlying geometric blockage effect provides a robust and sensitive signal, which is straightforward to interpret without electrical models. The approach also obviates the need for a high-resolution microscope and other complex equipment, making it potentially usable in resource-limited settings.

Entities:  

Keywords:  antibiotic resistance; antibiotic susceptibility testing; growth and morphology; microfluidics

Year:  2020        PMID: 32350139      PMCID: PMC7245095          DOI: 10.1073/pnas.1922172117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

Review 1.  Current concepts in laboratory testing to guide antimicrobial therapy.

Authors:  Stephen G Jenkins; Audrey N Schuetz
Journal:  Mayo Clin Proc       Date:  2012-03       Impact factor: 7.616

Review 2.  Molecular mechanisms of antibiotic resistance.

Authors:  Jessica M A Blair; Mark A Webber; Alison J Baylay; David O Ogbolu; Laura J V Piddock
Journal:  Nat Rev Microbiol       Date:  2014-12-01       Impact factor: 60.633

3.  Innate transcriptional networks activated in bladder in response to uropathogenic Escherichia coli drive diverse biological pathways and rapid synthesis of IL-10 for defense against bacterial urinary tract infection.

Authors:  Benjamin L Duell; Alison J Carey; Chee K Tan; Xiangqin Cui; Richard I Webb; Makrina Totsika; Mark A Schembri; Petra Derrington; Helen Irving-Rodgers; Andrew J Brooks; Allan W Cripps; Michael Crowley; Glen C Ulett
Journal:  J Immunol       Date:  2011-12-19       Impact factor: 5.422

4.  National ambulatory antibiotic prescribing patterns for pediatric urinary tract infection, 1998-2007.

Authors:  Hillary L Copp; Daniel J Shapiro; Adam L Hersh
Journal:  Pediatrics       Date:  2011-05-09       Impact factor: 7.124

5.  Detecting bacteria and determining their susceptibility to antibiotics by stochastic confinement in nanoliter droplets using plug-based microfluidics.

Authors:  James Q Boedicker; Liang Li; Timothy R Kline; Rustem F Ismagilov
Journal:  Lab Chip       Date:  2008-07-04       Impact factor: 6.799

6.  Fluoroquinolone-Resistant and Extended-Spectrum β-Lactamase-Producing Escherichia coli Infections in Patients with Pyelonephritis, United States(1).

Authors:  David A Talan; Sukhjit S Takhar; Anusha Krishnadasan; Fredrick M Abrahamian; William R Mower; Gregory J Moran
Journal:  Emerg Infect Dis       Date:  2016-09       Impact factor: 6.883

Review 7.  Microfluidics for Antibiotic Susceptibility and Toxicity Testing.

Authors:  Jing Dai; Morgan Hamon; Sachin Jambovane
Journal:  Bioengineering (Basel)       Date:  2016-10-09

Review 8.  Environmental and genetic modulation of the phenotypic expression of antibiotic resistance.

Authors:  Diarmaid Hughes; Dan I Andersson
Journal:  FEMS Microbiol Rev       Date:  2017-05-01       Impact factor: 16.408

9.  Analysis of Factors Limiting Bacterial Growth in PDMS Mother Machine Devices.

Authors:  Da Yang; Anna D Jennings; Evalynn Borrego; Scott T Retterer; Jaan Männik
Journal:  Front Microbiol       Date:  2018-05-01       Impact factor: 5.640

Review 10.  Developmental roadmap for antimicrobial susceptibility testing systems.

Authors:  Alex van Belkum; Till T Bachmann; Gerd Lüdke; Jan Gorm Lisby; Gunnar Kahlmeter; Allan Mohess; Karsten Becker; John P Hays; Neil Woodford; Konstantinos Mitsakakis; Jacob Moran-Gilad; Jordi Vila; Harald Peter; John H Rex; Wm Michael Dunne
Journal:  Nat Rev Microbiol       Date:  2019-01       Impact factor: 60.633

View more
  8 in total

1.  Measurement of the low-frequency charge noise of bacteria.

Authors:  Yichao Yang; Hagen Gress; Kamil L Ekinci
Journal:  Phys Rev E       Date:  2022-06       Impact factor: 2.707

2.  Combinatorial nanodroplet platform for screening antibiotic combinations.

Authors:  Hui Li; Pengfei Zhang; Kuangwen Hsieh; Tza-Huei Wang
Journal:  Lab Chip       Date:  2022-02-01       Impact factor: 7.517

Review 3.  Microfluidic Biomaterials.

Authors:  Joe Tien; Yoseph W Dance
Journal:  Adv Healthc Mater       Date:  2020-09-06       Impact factor: 9.933

4.  Microfluidic Systems for Antimicrobial Susceptibility Testing.

Authors:  Ann-Kathrin Klein; Andreas Dietzel
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

Review 5.  Early appropriate diagnostics and treatment of MDR Gram-negative infections.

Authors:  Matteo Bassetti; Souha S Kanj; Pattarachai Kiratisin; Camilla Rodrigues; David Van Duin; María Virginia Villegas; Yunsong Yu
Journal:  JAC Antimicrob Resist       Date:  2022-09-13

Review 6.  Recent advances in biomedical, biosensor and clinical measurement devices for use in humans and the potential application of these technologies for the study of physiology and disease in wild animals.

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

7.  Nanofluidic Immobilization and Growth Detection of Escherichia coli in a Chip for Antibiotic Susceptibility Testing.

Authors:  Jan F Busche; Svenja Möller; Ann-Kathrin Klein; Matthias Stehr; Foelke Purr; Margherita Bassu; Thomas P Burg; Andreas Dietzel
Journal:  Biosensors (Basel)       Date:  2020-09-25

Review 8.  Nanomotion Detection-Based Rapid Antibiotic Susceptibility Testing.

Authors:  Sandor Kasas; Anton Malovichko; Maria Ines Villalba; María Elena Vela; Osvaldo Yantorno; Ronnie G Willaert
Journal:  Antibiotics (Basel)       Date:  2021-03-10
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.