TY - JOUR
T1 - A multiplexed microfluidic platform for rapid antibiotic susceptibility testing
AU - Mohan, Ritika
AU - Mukherjee, Arnab
AU - Sevgen, Selami E.
AU - Sanpitakseree, Chotitath
AU - Lee, Jaebum
AU - Schroeder, Charles M.
AU - Kenis, Paul J.A.
N1 - Funding Information:
We acknowledge financial support from the National Science Foundation under awards CMMI 03–28162 and CMMI 07–49028 to Nano-CEMMS; Nano Science & Engineering Center (NSEC) on Nanomanufacturing for PJAK and a Packard Fellowship from the David and Lucile Packard Foundation for CMS. AM was supported in part by FMC Technologies Graduate Fellowship. We thank Dr. Amit Desai and Dr. Ashtamurthy Pawate for helpful discussions and for proof-reading the manuscript. In addition, we acknowledge Dr. Desai's assistance in designing the antibiotic absorption studies. Finally, we thank Kevin B. Weyant for assistance with bacterial cell cloning.
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013/11/5
Y1 - 2013/11/5
N2 - Effective treatment of clinical infections is critically dependent on the ability to rapidly screen patient samples to identify antibiograms of infecting pathogens. Existing methods for antibiotic susceptibility testing suffer from several disadvantages, including long turnaround times, excess sample and reagent consumption, poor detection sensitivity, and limited combinatorial capabilities. Unfortunately, these factors preclude the timely administration of appropriate antibiotics, complicating management of infections and exacerbating the development of antibiotic resistance. Here, we seek to address these issues by developing a microfluidic platform that relies on fluorescence detection of bacteria that express green fluorescent protein for highly sensitive and rapid antibiotic susceptibility testing. This platform possesses several advantages compared to conventional methods: (1) analysis of antibiotic action in two to four hours, (2) enhanced detection sensitivity (≈1 cell), (3) minimal consumption of cell samples and antibiotic reagents (<6. μL), and (4) improved portability through the implementation of normally closed valves. We employed this platform to quantify the effects of four antibiotics (ampicillin, cefalexin, chloramphenicol, tetracycline) and their combinations on Escherichia coli. Within four hours, the susceptibility of bacteria to antibiotics can be determined by detecting variations in maxima of local fluorescence intensity over time. As expected, cell density is a major determinant of antibiotic efficacy. Our results also revealed that combinations of three or more antibiotics are not necessarily better for eradicating pathogens compared to pairs of antibiotics. Overall, this microfluidic based biosensor technology has the potential to provide rapid and precise guidance in clinical therapies by identifying the antibiograms of pathogens.
AB - Effective treatment of clinical infections is critically dependent on the ability to rapidly screen patient samples to identify antibiograms of infecting pathogens. Existing methods for antibiotic susceptibility testing suffer from several disadvantages, including long turnaround times, excess sample and reagent consumption, poor detection sensitivity, and limited combinatorial capabilities. Unfortunately, these factors preclude the timely administration of appropriate antibiotics, complicating management of infections and exacerbating the development of antibiotic resistance. Here, we seek to address these issues by developing a microfluidic platform that relies on fluorescence detection of bacteria that express green fluorescent protein for highly sensitive and rapid antibiotic susceptibility testing. This platform possesses several advantages compared to conventional methods: (1) analysis of antibiotic action in two to four hours, (2) enhanced detection sensitivity (≈1 cell), (3) minimal consumption of cell samples and antibiotic reagents (<6. μL), and (4) improved portability through the implementation of normally closed valves. We employed this platform to quantify the effects of four antibiotics (ampicillin, cefalexin, chloramphenicol, tetracycline) and their combinations on Escherichia coli. Within four hours, the susceptibility of bacteria to antibiotics can be determined by detecting variations in maxima of local fluorescence intensity over time. As expected, cell density is a major determinant of antibiotic efficacy. Our results also revealed that combinations of three or more antibiotics are not necessarily better for eradicating pathogens compared to pairs of antibiotics. Overall, this microfluidic based biosensor technology has the potential to provide rapid and precise guidance in clinical therapies by identifying the antibiograms of pathogens.
KW - Antibiotic susceptibility testing
KW - Fluorescence detection
KW - Green fluorescent protein (GFP)
KW - Microfluidics
KW - Multiplexed sensor
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U2 - 10.1016/j.bios.2013.04.046
DO - 10.1016/j.bios.2013.04.046
M3 - Article
C2 - 23728197
AN - SCOPUS:84878840828
SN - 0956-5663
VL - 49
SP - 118
EP - 125
JO - Biosensors and Bioelectronics
JF - Biosensors and Bioelectronics
ER -