Original Article Proteomic identification of biomarkers of vascular injury
Ngan F. Huang, Kyle Kurpinski, Qizhi Fang, Randall J. Lee, Song Li
University of California San Francisco and University of California Berkeley Joint Program in Bioengineering, Berkeley, CA, USA; Department of Medicine and Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA; Department of Bioengineering, University of California Berkeley, Berkeley, CA, USA; Division of Cardiovascular Medicine, Stanford University, Stanford, CA 94305, USA
Received November 8, 2010; accepted November 20, 2010; Epub November 21, 2010; published January 1, 2011
Abstract: Predictive biomarkers may be beneficial for detecting, diagnosing, and assessing the risk of restenosis and vascular injury. We utilized proteomic profiling to identify protein markers in the blood following vascular injury, and corroborated the differential protein expression with immunological approaches. Rats underwent carotid artery injury, and plasma was collected after 2 or 5 weeks. Proteomic profiling was carried out by two-dimensional differential in-gel electrophoresis. The differentially expressed plasma proteins were identified by mass spectroscopy and confirmed by immunoblotting. Proteomic profiling by two-dimensional differential in-gel electrophoresis and mass spectroscopy revealed plasma proteins that were differentially expressed 2 weeks after injury. Among the proteins identified included vitamin D binding protein (VDBP), aldolase A (aldo A), and apolipoproteinE (apoE). Immunoblotting results validated a significant reduction in these proteins in the plasma at 2 or 5 weeks after vascular injury, in comparison to control animals without vascular injury. These findings suggest that VDBP, aldo A, and apoE may be biomarkers for vascular injury, which will have important prognostic and diagnostic implications. (AJTR1011001).
Keywords: Vascular injury, angioplasty, apolipoprotein E, atherosclerosis, plasma marker, vitamin D binding protein, proteomic profiling, aldolase
Address all correspondence to: Song Li, PhD University of California Berkeley Department of Bioengineering Berkeley, CA 94720-1762 Tel: (510) 666-2799 Fax: (510) 666-3381 Email: song_li@berkeley.edu