Show simple item record

dc.contributor.authorPrieto Tejedor, Javier
dc.contributor.authorSu, Hao-wei
dc.contributor.authorHou, Han Wei
dc.contributor.authorVera, Miguel Pinilla
dc.contributor.authorLevy, Bruce D.
dc.contributor.authorBaron, Rebecca M.
dc.contributor.authorHan, Jongyoon
dc.contributor.authorVoldman, Joel
dc.contributor.authorhan, jongyoon
dc.date.accessioned2019-07-03T18:08:39Z
dc.date.available2019-07-03T18:08:39Z
dc.date.issued2016-09-22
dc.date.submitted2016-07-24
dc.identifier.issn1473-0197
dc.identifier.issn1473-0189
dc.identifier.urihttps://hdl.handle.net/1721.1/121486
dc.description.abstractSepsis is a potentially lethal condition that might benefit from early monitoring of circulating activated leukocytes for faster stratification of severity of illness and improved administration of targeted treatment. Characterization of the intrinsic electrical properties of leukocytes is lable-free and can provide a quick way to quantify the number of activated cells as sepsis progresses. Isodielectric separation (IDS) uses dielectrophoresis (DEP) to characterize the electrical signatures of cells. Here we use IDS to show that activated and non-activated leukocytes have different electrical properties. We then present a double-sided version of the IDS platform to increase throughput to characterize thousands of cells. This new platform is less prone to cell fouling and allows faster characterization. Using peripheral blood samples from a cecal-ligation and puncture (CLP) model of polymicrobial sepsis in mice, we estimate the number of activated leukocytes by looking into differences in the electrical properties of cells. We show for the first time using animal models that electrical cell profiling correlates with flow cytometry (FC) results and that IDS is therefore a good candidate to provide rapid monitoring of sepsis by quantifying the number of circulating activated leukocytes.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (U24AI118656)en_US
dc.description.sponsorshipSpace and Naval Warfare Systems Center San Diego (U.S.) (N66001-11-1-4182)en_US
dc.language.isoen
dc.publisherRoyal Society of Chemistry (RSC)en_US
dc.relation.isversionof10.1039/c6lc00940aen_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.titleMonitoring sepsis using electrical cell profilingen_US
dc.typeArticleen_US
dc.identifier.citationCifuentes, Diego, and Pablo A. Parrilo. “Chordal Networks of Polynomial Ideals.” SIAM Journal on Applied Algebra and Geometry 1, no. 1 (January 2017): 73–110.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_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
dc.date.updated2019-06-05T14:07:25Z
dspace.date.submission2019-06-05T14:07:26Z
mit.journal.volume16en_US
mit.journal.issue22en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record