Literature DB >> 21095733

Probing sepsis and sepsis-like conditions using untargeted SPIO nanoparticles.

Richard Wong1, Jian Shou, 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.

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Year:  2010        PMID: 21095733     DOI: 10.1109/IEMBS.2010.5626123

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  4 in total

1.  MR detection of LPS-induced neutrophil activation using mannan-coated superparamagnetic iron oxide nanoparticles.

Authors:  Han Shanhua; Han Huijing; Myeong Ju Moon; Suk Hee Heo; Hyo Soon Lim; In-Kyu Park; Chong-Su Cho; Sang Hyun Kwak; Yong Yeon Jeong
Journal:  Mol Imaging Biol       Date:  2013-12       Impact factor: 3.488

2.  An iterative spherical mean value method for background field removal in MRI.

Authors:  Yan Wen; Dong Zhou; Tian Liu; Pascal Spincemaille; Yi Wang
Journal:  Magn Reson Med       Date:  2013-11-19       Impact factor: 4.668

Review 3.  Advances in sepsis diagnosis and management: a paradigm shift towards nanotechnology.

Authors:  Amit Pant; Irene Mackraj; Thirumala Govender
Journal:  J Biomed Sci       Date:  2021-01-08       Impact factor: 8.410

4.  Bacteria tracking by in vivo magnetic resonance imaging.

Authors:  Verena Hoerr; Lorena Tuchscherr; Jana Hüve; Nadine Nippe; Karin Loser; Nataliya Glyvuk; Yaroslav Tsytsyura; Michael Holtkamp; Cord Sunderkötter; Uwe Karst; Jürgen Klingauf; Georg Peters; Bettina Löffler; Cornelius Faber
Journal:  BMC Biol       Date:  2013-05-28       Impact factor: 7.431

  4 in total

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