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iDEA: Drexel E-repository and Archives > Drexel Academic Community > College of Arts and Sciences > Department of Physics > Faculty Research and Publications (Physics) > Imaging biomarkers of inflammation in situ with functionalized quantum dots in the dextran sodium sulfate (DSS) model of mouse colitis

Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/2743

Title: Imaging biomarkers of inflammation in situ with functionalized quantum dots in the dextran sodium sulfate (DSS) model of mouse colitis
Authors: Karwa, Amol
Papazoglou, Elisabeth S.
Pourrezaei, Kambiz
Tyagi, Som
Murthy, Sreekant
Keywords: Inflammation;Colitis;Animal Model of Colitis;Quantum Dots;Myeloperoxidase;extran Sodium Sulfate;TNFα;IL1α;Nanotechnology
Issue Date: 2007
Publisher: Springer Verlag
Citation: Inflammation Research, 56(12): pp. 502-510.
Abstract: Objective and Design: Myeloperoxidase (MPO) and proinflammatory cytokines play an important role in the development of inflammation. These markers are generally measured using tedious ELISA procedures. In this study, a novel technique utilizing antibody conjugated quantum dot nanoparticles was developed to detect myeloperoxidase, IL-1 α and TNF-α in vivo in the dextran sodium sulfate (DSS) model of experimental colitis. Materials and Methods: Colitis was induced in animals (n=8 animals/ group) by feeding 4% DSS solution ad libitum for seven to eight days. Quantum Dots exhibiting fluorescence at various wavelengths were conjugated to MPO, IL-1 α and TNF-α polyclonal antibodies and tested in vivo at various stages of colitis. Tissue sections obtained were imaged with confocal microscope. The image intensity obtained from the tissue specimen was correlated with clinical activity measured as Disease Activity Index (DAI). Results: Myeloperoxidase, IL-1α and TNF-α were visualized with quantum dots on various days of disease. The intensity of quantum dots increased with increase in inflammation. The increase in intensity showed an excellent correlation with the DAI based on the clinical parameters. Conclusion: The study demonstrated that multiple biomarkers can be detected simultaneously and their quantitative expression correlated well with clinical disease severity. This novel technology should facilitate design of a novel optical platform for imaging various biomarkers of inflammation, early detection of acute and chronic disease markers and inflammation-mediated cancer markers. This detection may also facilitate determination of therapeutic success.
URI: http://dx.doi.org/10.1007/s00011-007-7046-x
http://hdl.handle.net/1860/2743
Appears in Collections:Faculty Research and Publications (Physics)

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