Monitoring sepsis using electrical cell profiling
Sepsis 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-fre...
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Format: | Article |
Language: | English |
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Royal Society of Chemistry (RSC)
2019
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Online Access: | https://hdl.handle.net/1721.1/121486 |
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author | Prieto Tejedor, Javier Su, Hao-wei Hou, Han Wei Vera, Miguel Pinilla Levy, Bruce D. Baron, Rebecca M. Han, Jongyoon Voldman, Joel han, jongyoon |
author2 | Massachusetts Institute of Technology. Research Laboratory of Electronics |
author_facet | Massachusetts Institute of Technology. Research Laboratory of Electronics Prieto Tejedor, Javier Su, Hao-wei Hou, Han Wei Vera, Miguel Pinilla Levy, Bruce D. Baron, Rebecca M. Han, Jongyoon Voldman, Joel han, jongyoon |
author_sort | Prieto Tejedor, Javier |
collection | MIT |
description | Sepsis 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. |
first_indexed | 2024-09-23T12:48:49Z |
format | Article |
id | mit-1721.1/121486 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T12:48:49Z |
publishDate | 2019 |
publisher | Royal Society of Chemistry (RSC) |
record_format | dspace |
spelling | mit-1721.1/1214862022-09-28T10:13:15Z Monitoring sepsis using electrical cell profiling Prieto Tejedor, Javier Su, Hao-wei Hou, Han Wei Vera, Miguel Pinilla Levy, Bruce D. Baron, Rebecca M. Han, Jongyoon Voldman, Joel han, jongyoon Massachusetts Institute of Technology. Research Laboratory of Electronics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Sepsis 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. National Institutes of Health (U.S.) (U24AI118656) Space and Naval Warfare Systems Center San Diego (U.S.) (N66001-11-1-4182) 2019-07-03T18:08:39Z 2019-07-03T18:08:39Z 2016-09-22 2016-07-24 2019-06-05T14:07:25Z Article http://purl.org/eprint/type/JournalArticle 1473-0197 1473-0189 https://hdl.handle.net/1721.1/121486 Cifuentes, 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 10.1039/c6lc00940a Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Royal Society of Chemistry (RSC) PMC |
spellingShingle | Prieto Tejedor, Javier Su, Hao-wei Hou, Han Wei Vera, Miguel Pinilla Levy, Bruce D. Baron, Rebecca M. Han, Jongyoon Voldman, Joel han, jongyoon Monitoring sepsis using electrical cell profiling |
title | Monitoring sepsis using electrical cell profiling |
title_full | Monitoring sepsis using electrical cell profiling |
title_fullStr | Monitoring sepsis using electrical cell profiling |
title_full_unstemmed | Monitoring sepsis using electrical cell profiling |
title_short | Monitoring sepsis using electrical cell profiling |
title_sort | monitoring sepsis using electrical cell profiling |
url | https://hdl.handle.net/1721.1/121486 |
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