Title |
Molecular Sensors of Blood Flow in Endothelial Cells
|
---|---|
Published in |
Trends in Molecular Medicine, August 2017
|
DOI | 10.1016/j.molmed.2017.07.007 |
Pubmed ID | |
Authors |
Sara Baratchi, Khashayar Khoshmanesh, Owen L. Woodman, Simon Potocnik, Karlheinz Peter, Peter McIntyre |
Abstract |
Mechanical stress from blood flow has a significant effect on endothelial physiology, with a key role in initiating vasoregulatory signals. Disturbances in blood flow, such as in regions of disease-associated stenosis, arterial branch points, and sharp turns, can induce proatherogenic phenotypes in endothelial cells. The disruption of vascular homeostasis as a result of endothelial dysfunction may contribute to early and late stages of atherosclerosis, the underlying cause of coronary artery disease. In-depth knowledge of the mechanobiology of endothelial cells is essential to identifying mechanosensory complexes involved in the pathogenesis of atherosclerosis. In this review, we describe different blood flow patterns and summarize current knowledge on mechanosensory molecules regulating endothelial vasoregulatory functions, with clinical implications. Such information may help in the search for novel therapeutic approaches. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 44% |
United Kingdom | 1 | 11% |
Canada | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 44% |
Members of the public | 3 | 33% |
Science communicators (journalists, bloggers, editors) | 2 | 22% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 215 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 53 | 25% |
Student > Master | 26 | 12% |
Researcher | 23 | 11% |
Student > Bachelor | 20 | 9% |
Student > Doctoral Student | 15 | 7% |
Other | 34 | 16% |
Unknown | 44 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 54 | 25% |
Medicine and Dentistry | 30 | 14% |
Engineering | 28 | 13% |
Agricultural and Biological Sciences | 19 | 9% |
Chemical Engineering | 7 | 3% |
Other | 25 | 12% |
Unknown | 52 | 24% |