title: Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers.
abstract: Atherosclerotic plaque rupture and thrombosis are the main causes of acute coronary syndrome. In the present study, we investigated whether ultrasound imaging and inflammatory parameters are predictive of plaque rupture in a newly established animal model. We developed a rabbit model for plaque rupture by locally delivering recombinant p53 adenovirus to plaques in rabbits fed a high-cholesterol diet for 10 wk, and plaque rupture was triggered using Chinese Russell's viper venom and histamine. We found that 81.1% of rabbits transfected with p53 (n = 37) had the ruptured plaques, which was significantly higher than results in rabbits transfected with the control vector (26.3%, n = 38; P < 0.001). Among measured biomarkers, high-sensitive C-reactive protein, soluble intercellular adhesion molecule-1, and soluble vascular cell adhesion molecule-1 were significantly different between rabbits with and without ruptured plaques. Using high-frequency duplex and intravascular ultrasound imaging techniques, we obtained a list of parameters. With the multivariate logistic regression model, we identified that plaque eccentric index, plaque area, high-sensitive C-reactive protein, and corrected integrated backscatter intensity were significant predictors of plaque rupture, with odds ratios of 7.056 [95% confidence interval (CI): 1.958, approximately 25.430], 1.942 (95% CI: 1.058, approximately 3.564), 1.025 (95% CI: 1.007, approximately 1.043), and 0.856 (95% CI: 0.775, approximately 0.946), respectively. Localized p53 overexpression technique induces plaque rupture, and the combined measurement of ultrasound and biochemical markers is a valuable tool in predicting plaque rupture.
authors: The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, Shandong University Qilu Hospital, Jinan, Shandong, P.R. China.
authors: Wen Qiang
authors: WQ
authors: Chen
authors: Lei
authors: L
authors: Zhang
authors: Yun Fang
authors: YF
authors: Liu
authors: Liang
authors: L
authors: Chen
authors: Xiao Ping
authors: XP
authors: Ji
authors: Mei
authors: M
authors: Zhang
authors: Yu Xia
authors: YX
authors: Zhao
authors: Gui Hua
authors: GH
authors: Yao
authors: Cheng
authors: C
authors: Zhang
authors: Xing Li
authors: XL
authors: Wang
authors: Yun
authors: Y
authors: Zhang
mesh_terms: D000818:Animals; D001019:Aortic Rupture / Q000097:blood* / Q000139:chemically induced / Q000175:diagnosis / Q000000981:diagnostic imaging*; D050197:Atherosclerosis / Q000097:blood* / Q000139:chemically induced / Q000175:diagnosis / Q000000981:diagnostic imaging*; D015415:Biomarkers / Q000097:blood; D002097:C-Reactive Protein / Q000032:analysis*; D007155:Immunologic Factors / Q000097:blood*; D008297:Male; D011817:Rabbits; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016159:Tumor Suppressor Protein p53; D014463:Ultrasonography
chemical_list: D015415:Biomarkers; D007155:Immunologic Factors; D016159:Tumor Suppressor Protein p53; D002097:C-Reactive Protein