Direct detection and drug-resistance profiling of bacteremias using inertial microfluidics
Author(s)
Hou, Han Wei; Bhattacharyya, Roby P.; Hung, Deborah T.; Han, Jongyoon
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Detection of bacteria in bloodstream infections and their antibiotic susceptibility patterns is critical to guide therapeutic decision-making for optimal patient care. Current culture-based assays are too slow (>48 h), leading to excessive up-front use of broad-spectrum antibiotics and/or incorrect antibiotic choices due to resistant bacteria, each with deleterious consequences for patient care and public health. To approach this problem, we describe a method to rapidly isolate bacteria from whole blood using inertial microfluidics and directly determine pathogen identity and antibiotic susceptibility with hybridization-based RNA detection. Using the principle of Dean flow fractionation, bacteria are separated from host blood cells in a label-free separation method with efficient recovery of even low abundance bacteria. Ribosomal RNA detection can then be applied for direct identification of low abundance pathogens (~100 per mL) from blood without culturing or enzymatic amplification. Messenger RNA detection of antibiotic-responsive transcripts after brief drug exposure permits rapid susceptibility determination from bacteria with minimal culturing (~105 per mL). This unique coupling of microfluidic cell separation with RNA-based molecular detection techniques represents significant progress towards faster diagnostics (~8 hours) to guide antibiotic therapy.
Date issued
2015-04Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of ElectronicsJournal
Lab on a Chip
Publisher
Royal Society of Chemistry, The
Citation
Hou, Han Wei, et al. “Direct Detection and Drug-Resistance Profiling of Bacteremias Using Inertial Microfluidics.” Lab on a Chip 15, 10 (May 2015): 2297–2307 © 2015 The Royal Society of Chemistry
Version: Author's final manuscript
ISSN
1473-0197
1473-0189