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Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers.

Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers. Research Abstract Details 

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  • Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers. Abstract Text:

    wen qiang chenWen Qiang Chen,lei zhangLei Zhang,yun fang liuYun Fang Liu,liang chenLiang Chen,xiao ping jiXiao Ping Ji,mei zhangMei Zhang,yu xia zhaoYu Xia Zhao,gui hua yaoGui Hua Yao,cheng zhangCheng Zhang,xing li wangXing Li Wang,yun zhangYun Zhang,wen qiang chenWen Qiang Chen,lei zhangLei Zhang,yun fang liuYun Fang Liu,liang chenLiang Chen,xiao ping jiXiao Ping Ji,mei zhangMei Zhang,yu xia zhaoYu Xia Zhao,gui hua yaoGui Hua Yao,cheng zhangCheng Zhang,xing li wangXing Li Wang,yun zhangYun Zhang,

    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.

    Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers. Publishing Authors By Initials

    wq chenWQ Chen,l zhangL Zhang,yf liuYF Liu,l chenL Chen,xp jiXP Ji,m zhangM Zhang,yx zhaoYX Zhao,gh yaoGH Yao,c zhangC Zhang,xl wangXL Wang,y zhangY Zhang,wq chenWQ Chen,l zhangL Zhang,yf liuYF Liu,l chenL Chen,xp jiXP Ji,m zhangM Zhang,yx zhaoYX Zhao,gh yaoGH Yao,c zhangC Zhang,xl wangXL Wang,y zhangY Zhang,

    For similar abstracts research abstracts see: abstracts research

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    Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: American journal of physiology. Heart and circulat

    VOLUME: 293

    Page Numbers: H2836-44

    Journal Abbreviation: Am. J. Physiol. Heart Circ. Ph

    ISSN: 0363-6135

    DAY: 17

    MONTH: 08

    YEAR: 2007

    Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers. Information

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    LANGUAGE: eng

    NlmUniqueID: 100901228

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    Grant and Affiliation Information for Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers.

    AFFILIATION: 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.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Am J Physiol Heart Circ Physio

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