Proteomic Profile of Human Aortic Stenosis: Insights into the Degenerative Process
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2012
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American Chemical Society
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Martín-Rojas, Tatiana, et al. «Proteomic Profile of Human Aortic Stenosis: Insights into the Degenerative Process». Journal of Proteome Research, vol. 11, n.o 3, marzo de 2012, pp. 1537-50. https://doi.org/10.1021/pr2005692.
Abstract
Degenerative aortic stenosis is the most common worldwide cause of valve replacement. While it shares certain risk factors with coronary artery disease, it is not delayed or reversed by reducing exposure to risk factors (e.g., therapies that lower lipids). Therefore, it is necessary to better understand its pathophysiology for preventive measures to be taken. In this work, aortic valve samples were collected from 20 patients that underwent aortic valve replacement (55% males, mean age of 74 years) and 20 normal control valves were obtained from necropsies (40% males, mean age of 69 years). The proteome of the samples was analyzed by quantitative differential electrophoresis (2D-DIGE) and mass spectrometry, and 35 protein species were clearly increased in aortic valves, including apolipoprotein AI, alpha-1-antitrypsin, serum albumin, lumican, alfa-1-glycoprotein, vimentin, superoxide dismutase Cu–Zn, serum amyloid P-component, glutathione S-transferase-P, fatty acid-binding protein, transthyretin, and fibrinogen gamma. By contrast, 8 protein species were decreased (transgelin, haptoglobin, glutathione peroxidase 3, HSP27, and calreticulin). All of the proteins identified play a significant role in cardiovascular processes, such as fibrosis, homeostasis, and coagulation. The significant changes observed in the abundance of key cardiovascular proteins strongly suggest that they can be involved in the pathogenesis of degenerative aortic stenosis. Further studies are warranted to better understand this process before we can attempt to modulate it.
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This work was supported by grants from the Instituto de Salud Carlos III (FISPI070537,PI080970),Fondo de Investigación Sanitaria de Castilla la Mancha (FISCAM,PI2008/08), Fondo de Investigación Sanitaria de Castilla la Mancha (FISCAM PI2008/28) and Fondos Feder-Redes Telemáticas de Investigación Cooperativa (RD06/0014/1015)











