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Title: In vivo monitoring of the inflammatory response in a stented mouse aorta model
Authors: Kapnisis, Konstantinos 
Pitsillides, Costas 
Prokopi, Marianna 
Lapathitis, George 
Karaiskos, Christos 
Eleftheriou, Polyvios 
Brott, Brigitta C. 
Anderson, Peter G. 
Lemons, Jack E. 
Anayiotos, Andreas 
Keywords: In vivo imaging;Inflammation;Mouse stent model;Stent corrosion
Category: Clinical Medicine
Field: Medical and Health Sciences
Issue Date: 1-Jan-2016
Publisher: John Wiley and Sons Inc.
Source: Journal of Biomedical Materials Research - Part A, 2016, Volume 104, Issue 1, Pages 227-238
DOI: 10.1002/jbm.a.35560
Abstract: The popularity of vascular stents continues to increase for a variety of applications, including coronary, lower limb, renal, carotid, and neurovascular disorders. However, their clinical effectiveness is hindered by numerous postdeployment complications, which may stimulate inflammatory and fibrotic reactions. The purpose of this study was to evaluate the vessel inflammatory response via in vivo imaging in a mouse stent implantation model. Corroded and noncorroded self-expanding miniature nitinol stents were implanted in mice abdominal aortas, and novel in vivo imaging techniques were used to assess trafficking and accumulation of fluorescent donor monocytes as well as cellular proliferation at the implantation site. Monocytes were quantitatively tracked in vivo and found to rapidly clear from circulation within hours after injection. Differences were found between the test groups with respect to the numbers of recruited monocytes and the intensity of the resulting fluorescent signal. Image analysis also revealed a subtle increase in matrix metalloproteinase activity in corroded compared with the normal stented aortas. In conclusion, this study has been successful in developing a murine stent inflammation model and applying novel in vivo imaging tools and methods to monitor the complex biological processes of the host vascular wall response.
ISSN: 15493296
Rights: © 2015 Wiley Periodicals, Inc.
Type: Article
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