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Mechanical stretch: physiological and pathological implications for human vascular endothelial cells

Overview of attention for article published in Vascular Cell, September 2015
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Title
Mechanical stretch: physiological and pathological implications for human vascular endothelial cells
Published in
Vascular Cell, September 2015
DOI 10.1186/s13221-015-0033-z
Pubmed ID
Authors

Nurul F. Jufri, Abidali Mohamedali, Alberto Avolio, Mark S. Baker

Abstract

Vascular endothelial cells are subjected to hemodynamic forces such as mechanical stretch due to the pulsatile nature of blood flow. Mechanical stretch of different intensities is detected by mechanoreceptors on the cell surface which enables the conversion of external mechanical stimuli to biochemical signals in the cell, activating downstream signaling pathways. This activation may vary depending on whether the cell is exposed to physiological or pathological stretch intensities. Substantial stretch associated with normal physiological functioning is important in maintaining vascular homeostasis as it is involved in the regulation of cell structure, vascular angiogenesis, proliferation and control of vascular tone. However, the elevated pressure that occurs with hypertension exposes cells to excessive mechanical load, and this may lead to pathological consequences through the formation of reactive oxygen species, inflammation and/or apoptosis. These processes are activated by downstream signaling through various pathways that determine the fate of cells. Identification of the proteins involved in these processes may help elucidate novel mechanisms involved in vascular disease associated with pathological mechanical stretch and could provide new insight into therapeutic strategies aimed at countering the mechanisms' negative effects.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Denmark 1 <1%
Switzerland 1 <1%
Italy 1 <1%
Unknown 269 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 25%
Student > Master 41 15%
Researcher 30 11%
Student > Bachelor 28 10%
Student > Doctoral Student 16 6%
Other 29 11%
Unknown 62 23%
Readers by discipline Count As %
Engineering 59 22%
Medicine and Dentistry 47 17%
Biochemistry, Genetics and Molecular Biology 43 16%
Agricultural and Biological Sciences 20 7%
Materials Science 6 2%
Other 33 12%
Unknown 66 24%