Literature DB >> 20009356

Relationship between multiple plasma biomarkers and vulnerable plaque determined by virtual histology intravascular ultrasound.

Jong-Pil Park1, Byoung Kwon Lee, Jae-Min Shim, Sung-Hwan Kim, Cheol Whan Lee, Duk-Hyun Kang, Myeong-Ki Hong.   

Abstract

BACKGROUND: The relationship between plasma biomarkers and vulnerable plaque is not well understood. METHODS AND
RESULTS: The 188 patients who underwent 3-vessel virtual histology (VH) intravascular ultrasound (IVUS) with peripheral blood sampling were enrolled. Plasma levels of matrix metalloproteinase 2 and 9 (MMP-2, -9), tissue inhibitor of metalloproteinase-1, adiponectin, and macrophage migration inhibitory factor were measured. VH-IVUS-derived thin cap fibroatheroma (VH-TCFA) was defined as a necrotic core >10% of plaque area in the presence of >40% plaque burden. There were 38 patients with ruptured plaque and 150 patients without (107 patients with VH-TCFA, 43 patients without VH-TCFA) in culprit/target lesions. Among the biomarkers, only the MMP-9 level was significantly higher in patients with ruptured plaque (P=0.002). In the subgroup without ruptured plaque, significant differences in the levels of several biomarkers were not observed between patients with and without VH-TCFA. In both culprit/target and nonculprit/non-target vessels, the MMP-9 level showed a weak correlation with the total number of ruptured plaques (r=0.231, P=0.002).
CONCLUSIONS: Among the biomarkers tested in this study, the MMP-9 level was significantly higher in patients with ruptured plaque. However, measurement of several biomarkers, including MMP-9, was incapable of predicting the presence of VH-TCFA.

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Year:  2009        PMID: 20009356     DOI: 10.1253/circj.cj-09-0570

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  6 in total

1.  Correlations between coronary plaque tissue composition assessed by virtual histology and blood levels of biomarkers for coronary artery disease.

Authors:  Young-Guk Ko; Van Cuong Le; Bo Hyun Kim; Dong-Ho Shin; Jung-Sun Kim; Byeong-Keuk Kim; Donghoon Choi; Yangsoo Jang; Myeong-Ki Hong
Journal:  Yonsei Med J       Date:  2012-05       Impact factor: 2.759

2.  Comparison of Coronary Plaque Components between Non-Culprit Lesions in Patients with Acute Coronary Syndrome and Target Lesions in Patients with Stable Angina: Virtual Histology-Intravascular Ultrasound Analysis.

Authors:  Young Joon Hong; Myung Ho Jeong; Yun Ha Choi; Soo Young Park; Si Hyun Rhew; Hae Chang Jeong; Jae Yeong Cho; Su Young Jang; Ki Hong Lee; Keun Ho Park; Doo Sun Sim; Nam Sik Yoon; Hyun Ju Yoon; Kye Hun Kim; Hyung Wook Park; Ju Han Kim; Youngkeun Ahn; Jeong Gwan Cho; Jong Chun Park; Jung Chaee Kang
Journal:  Korean Circ J       Date:  2013-09-30       Impact factor: 3.243

3.  Apolipoprotein B correlates with intra-plaque necrotic core volume in stable coronary artery disease.

Authors:  Takayuki Ohwada; Takayuki Sakamoto; Yuki Kanno; Sayoko Yokokawa; Kazuaki Amami; Kazuhiko Nakazato; Yasuchika Takeishi; Kenichi Watanabe
Journal:  PLoS One       Date:  2019-02-19       Impact factor: 3.240

4.  Correlation between the severity of coronary artery lesions and levels of estrogen, hs-CRP and MMP-9.

Authors:  Changlei Guo; Shaoli Zhang; Junbiao Zhang; Hui Liu; Peicheng Li; Hengdao Liu; Yakun Wang
Journal:  Exp Ther Med       Date:  2014-02-20       Impact factor: 2.447

5.  A score to quantify coronary plaque vulnerability in high-risk patients with type 2 diabetes: an optical coherence tomography study.

Authors:  Mathias Burgmaier; Martin Hellmich; Nikolaus Marx; Sebastian Reith
Journal:  Cardiovasc Diabetol       Date:  2014-08-21       Impact factor: 9.951

6.  Circulating Microparticles and Coronary Plaque Components Assessed by Virtual Histology Intravascular Ultrasound of the Target Lesion in Patients with Stable Angina.

Authors:  Pil-Ki Min; Minhee Cho; Sung-Yu Hong; Jong-Youn Kim; Eui-Young Choi; Young-Won Yoon; Byoung Kwon Lee; Bum-Kee Hong; Se-Joong Rim; Hyuck Moon Kwon
Journal:  PLoS One       Date:  2016-01-26       Impact factor: 3.240

  6 in total

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