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Pericytes Regulate Vascular Basement Membrane Remodeling and Govern Neutrophil Extravasation during Inflammation

Overview of attention for article published in PLOS ONE, September 2012
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Title
Pericytes Regulate Vascular Basement Membrane Remodeling and Govern Neutrophil Extravasation during Inflammation
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0045499
Pubmed ID
Authors

Shijun Wang, Canhong Cao, Zhongming Chen, Vytas Bankaitis, Eleni Tzima, Nader Sheibani, Keith Burridge

Abstract

During inflammation polymorphonuclear neutrophils (PMNs) traverse venular walls, composed of the endothelium, pericyte sheath and vascular basement membrane. Compared to PMN transendothelial migration, little is known about how PMNs penetrate the latter barriers. Using mouse models and intravital microscopy, we show that migrating PMNs expand and use the low expression regions (LERs) of matrix proteins in the vascular basement membrane (BM) for their transmigration. Importantly, we demonstrate that this remodeling of LERs is accompanied by the opening of gaps between pericytes, a response that depends on PMN engagement with pericytes. Exploring how PMNs modulate pericyte behavior, we discovered that direct PMN-pericyte contacts induce relaxation rather than contraction of pericyte cytoskeletons, an unexpected response that is mediated by inhibition of the RhoA/ROCK signaling pathway in pericytes. Taking our in vitro results back into mouse models, we present evidence that pericyte relaxation contributes to the opening of the gaps between pericytes and to the enlargement of the LERs in the vascular BM, facilitating PMN extravasation. Our study demonstrates that pericytes can regulate PMN extravasation by controlling the size of pericyte gaps and thickness of LERs in venular walls. This raises the possibility that pericytes may be targeted in therapies aimed at regulating inflammation.

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Geographical breakdown

Country Count As %
Germany 1 <1%
Ireland 1 <1%
Italy 1 <1%
Sweden 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 121 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 26%
Researcher 20 16%
Student > Master 13 10%
Student > Doctoral Student 10 8%
Student > Bachelor 9 7%
Other 16 13%
Unknown 26 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 21%
Medicine and Dentistry 16 13%
Neuroscience 16 13%
Biochemistry, Genetics and Molecular Biology 15 12%
Immunology and Microbiology 8 6%
Other 18 14%
Unknown 27 21%