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Can proteomics yield insight into aging aorta?
Author(s) -
Fu Zongming,
Wang Mingyi,
Everett Allen,
Lakatta Edward,
Eyk Jennifer
Publication year - 2013
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.201200138
Subject(s) - proteome , vascular smooth muscle , proteomics , aorta , biology , extracellular matrix , senescence , microbiology and biotechnology , smooth muscle , vitronectin , bioinformatics , computational biology , medicine , biochemistry , endocrinology , gene , fibronectin
The aging aorta exhibits structural and physiological changes that are reflected in the proteome of its component cells types. The advance in proteomic technologies has made it possible to analyze the quantity of proteins associated with the natural history of aortic aging. These alterations reflect the molecular and cellular mechanisms of aging and could provide an opportunity to predict vascular health. This paper focuses on whether discoveries stemming from the application of proteomic approaches of the intact aging aorta or vascular smooth muscle cells can provide useful insights. Although there have been limited studies to date, a number of interesting proteins have been identified that are closely associated with aging in the rat aorta. Such proteins, including milk fat globule‐ EGF factor 8, matrix metalloproteinase type‐2, and vitronectin, could be used as indicators of vascular health, or even explored as therapeutic targets for aging‐related vascular diseases.