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dc.contributor.authorHou, Han Wei
dc.contributor.authorBhattacharyya, Roby P.
dc.contributor.authorHung, Deborah T.
dc.contributor.authorHan, Jongyoon
dc.date.accessioned2017-08-14T14:22:50Z
dc.date.available2017-08-14T14:22:50Z
dc.date.issued2015-04
dc.date.submitted2015-03
dc.identifier.issn1473-0197
dc.identifier.issn1473-0189
dc.identifier.urihttp://hdl.handle.net/1721.1/110937
dc.description.abstractDetection 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.en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (N66001-11-1-4182)en_US
dc.language.isoen_US
dc.publisherRoyal Society of Chemistry, Theen_US
dc.relation.isversionofhttp://dx.doi.org/10.1039/c5lc00311cen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleDirect detection and drug-resistance profiling of bacteremias using inertial microfluidicsen_US
dc.typeArticleen_US
dc.identifier.citationHou, 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 Chemistryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.mitauthorHou, Han Wei
dc.contributor.mitauthorHan, Jongyoon
dc.relation.journalLab on a Chipen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHou, Han Wei; Bhattacharyya, Roby P.; Hung, Deborah T.; Han, Jongyoonen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-7215-1439
mit.licenseOPEN_ACCESS_POLICYen_US


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