Literature DB >> 21305593

19F MRI detection of acute allograft rejection with in vivo perfluorocarbon labeling of immune cells.

T Kevin Hitchens1, Qing Ye, Danielle F Eytan, Jelena M Janjic, Eric T Ahrens, Chien Ho.   

Abstract

Current diagnosis of organ rejection following transplantation relies on tissue biopsy, which is not ideal due to sampling limitations and risks associated with the invasive procedure.We have previously shown that cellular magnetic resonance imaging (MRI) of iron-oxide labeled immune-cell infiltration can provide a noninvasive measure of rejection status by detecting areas of hypointensity on T 2*-weighted images. In this study, we tested the feasibility of using a fluorine-based cellular tracer agent to detect macrophage accumulation in rodent models of acute allograft rejection by fluorine-19 ((19) F) MRI and magnetic resonance spectroscopy. This study used two rat models of acute rejection, including abdominal heterotopic cardiac transplant and orthotopic kidney transplant models. Following in vivo labeling of monocytes and macrophages with a commercially available agent containing perfluoro-15-crown-5-ether, we observed (19) F-signal intensity in the organs experiencing rejection by (19) F MRI, and conventional (1) H MRI was used for anatomical context. Immunofluorescence and histology confirmed macrophage labeling. These results are consistent with our previous studies and show the complementary nature of the two cellular imaging techniques. With no background signal, (19) F MRI/magnetic resonance spectroscopy can provide unambiguous detection of fluorine labeled cells, and may be a useful technique for detecting and quantifying rejection grade in patients.
Copyright © 2010 Wiley-Liss, Inc.

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Year:  2011        PMID: 21305593      PMCID: PMC3135171          DOI: 10.1002/mrm.22702

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  21 in total

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Review 9.  Fluorine-containing nanoemulsions for MRI cell tracking.

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  55 in total

Review 1.  Perfluorocarbon nanoparticles for physiological and molecular imaging and therapy.

Authors:  Junjie Chen; Hua Pan; Gregory M Lanza; Samuel A Wickline
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Review 2.  Imaging macrophages with nanoparticles.

Authors:  Ralph Weissleder; Matthias Nahrendorf; Mikael J Pittet
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3.  Cell tracking using (19)F magnetic resonance imaging: technical aspects and challenges towards clinical applications.

Authors:  Houshang Amiri; Mangala Srinivas; Andor Veltien; Mark J van Uden; I Jolanda M de Vries; Arend Heerschap
Journal:  Eur Radiol       Date:  2014-11-06       Impact factor: 5.315

4.  Hardware Considerations for Preclinical Magnetic Resonance of the Kidney.

Authors:  Paula Ramos Delgado; Ekkehard Küstermann; André Kühne; Jason M Millward; Thoralf Niendorf; Andreas Pohlmann; Martin Meier
Journal:  Methods Mol Biol       Date:  2021

Review 5.  Peripheral Nerve Nanoimaging: Monitoring Treatment and Regeneration.

Authors:  Jelena M Janjic; Vijay S Gorantla
Journal:  AAPS J       Date:  2017-08-04       Impact factor: 4.009

Review 6.  Tracking immune cells in vivo using magnetic resonance imaging.

Authors:  Eric T Ahrens; Jeff W M Bulte
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7.  Perfluorocarbon nanoemulsions with fluorescent, colloidal and magnetic properties.

Authors:  Jelena M Janjic; Pin Shao; Shaojuan Zhang; Xun Yang; Sravan K Patel; Mingfeng Bai
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Review 8.  Multimodal iron oxide nanoparticles for hybrid biomedical imaging.

Authors:  Timo Heidt; Matthias Nahrendorf
Journal:  NMR Biomed       Date:  2012-10-15       Impact factor: 4.044

9.  In Vivo 19F MR Imaging Cell Tracking of Inflammatory Macrophages and Site-specific Development of Colitis-associated Dysplasia.

Authors:  Soo Hyun Shin; Deepak K Kadayakkara; Jeff W M Bulte
Journal:  Radiology       Date:  2016-07-19       Impact factor: 11.105

10.  (19)F-MRI for monitoring human NK cells in vivo.

Authors:  Myriam N Bouchlaka; Kai D Ludwig; Jeremy W Gordon; Matthew P Kutz; Bryan P Bednarz; Sean B Fain; Christian M Capitini
Journal:  Oncoimmunology       Date:  2016-02-18       Impact factor: 8.110

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