NDLI: Probing sepsis and sepsis-like conditions using untargeted SPIO nanoparticles

Content Provider	IEEE Xplore Digital Library
Author	Wong, R. Jian Shou Yi Wang
Copyright Year	2010
Description	Author affiliation: Cornell Univ., USA (Wong, R.; Yi Wang)
Abstract	Sepsis is the leading cause of death in critically ill patients in the United States. Current diagnosis of sepsis relies heavily on the patient's manifestation of septic symptoms, which occur at life-threatening late stage of sepsis. Because the underlying biological changes of sepsis occur hours to days before the clinical presentation of symptoms, early detection of the biological changes will provide crucial opportunities for early diagnosis and effective treatment of sepsis. As an candidate for early sepsis detection, we propose using a novel quantitative susceptibility mapping (QSM) MRI that quantifiably measure the activity of the immune system during sepsis progression. It has been observed that Kupffer cells, comprising 80% of the liver's macrophages, play a pivotal role in the early response to system infection, a condition characteristic of sepsis. Further, it has been observed that phagocytosis by Kupffer cells is a major mechanism by which nanoparticle-based contrast agents, such as Feridex, are cleared from the body. By quantifying the amount of superparamagnetic iron-oxide nanoparticles uptaken by these macrophages and correlating this result to immune system response and the progression of sepsis, we can utilize commonly used contrast agents as markers in monitoring and diagnosing sepsis condition. This study offers an in vitro proof of concept; RAW264.7 murine monocytes were treated with lipopolysaccharide to induce a sepsis-like cell condition, incubated with the FDA-approved contrast agent Feridex IV, and imaged using QSM MRI for the quantification of iron.
Starting Page	3053
Ending Page	3056
File Size	735906
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iron Image reconstruction Liver Mice Immune system Magnetic resonance imaging Magnetic field measurement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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