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Decorin Mimic Inhibits Vascular Smooth Muscle Proliferation and Migration

Overview of attention for article published in PLOS ONE, November 2013
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Title
Decorin Mimic Inhibits Vascular Smooth Muscle Proliferation and Migration
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0082456
Pubmed ID
Authors

Rebecca A. Scott, John E. Paderi, Michael Sturek, Alyssa Panitch

Abstract

Over the past 10 years, the number of percutaneous coronary intervention procedures performed in the United States increased by 33%; however, restenosis, which inhibits complete functional recovery of the vessel wall, complicates this procedure. A wide range of anti-restenotic therapeutics have been developed, although many elicit non-specific effects that compromise vessel healing. Drawing inspiration from biologically-relevant molecules, our lab developed a mimic of the natural proteoglycan decorin, termed DS-SILY, which can mask exposed collagen and thereby effectively decrease platelet activation, thus contributing to suppression of vascular intimal hyperplasia. Here, we characterize the effects of DS-SILY on both proliferative and quiescent human SMCs to evaluate the potential impact of DS-SILY-SMC interaction on restenosis, and further characterize in vivo platelet interactions. DS-SILY decreased proliferative SMC proliferation and pro-inflammatory cytokine secretion in vitro in a concentration dependent manner as compared to untreated controls. The addition of DS-SILY to in vitro SMC cultures decreased SMC migration and protein synthesis by 95% and 37%, respectively. Furthermore, DS-SILY decreased platelet activation, as well as reduced neointimal hyperplasia by 60%, in vivo using Ossabaw swine. These results indicate that DS-SILY demonstrates multiple biological activities that may all synergistically contribute to an improved treatment paradigm for balloon angioplasty.

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Geographical breakdown

Country Count As %
United States 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Ph. D. Student 9 23%
Professor 5 13%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 18%
Medicine and Dentistry 7 18%
Biochemistry, Genetics and Molecular Biology 6 15%
Engineering 6 15%
Chemistry 2 5%
Other 3 8%
Unknown 8 21%