Tenascin C: A Potential Biomarker for Predicting the Severity of Coronary Atherosclerosis

藤黄蛋白C 生物标志物 冠状动脉疾病 医学 细胞外基质 冠状动脉粥样硬化 心脏病学 内科学 Tenascin公司 生物 纤维连接蛋白 生物化学 免疫组织化学
作者
Wen Gao,Jian Li,Hongbin Ni,Shi H,Qi Zhou,Shouguo Zhu,Chuan‐Ming Hao,Qionghong Xie,Xinping Luo,Kun Xie
出处
期刊:Journal of Atherosclerosis and Thrombosis [Japan Atherosclerosis Society]
卷期号:26 (1): 31-38 被引量:17
标识
DOI:10.5551/jat.42887
摘要

Coronary artery disease (CAD) is the leading cause of mortality and morbidity worldwide and one of the greatest threats to public health. Tenascin C (TNC) is an extracellular matrix glycoprotein that is found in low concentrations in normal tissues and is enhanced by a range of cardiovascular pathologies. This study aimed to evaluate the value of TNC in assessing the severity of atherosclerosis measured by the Gensini score.A total of 157 patients with chest pains who underwent selective coronary angiography for suspected coronary atherosclerosis were enrolled. The patients were divided into the CAD group and non-CAD group according to symptoms and angiography. Demographic data and laboratory analyses were collected.The mean TNC level was significantly higher in the CAD group than in the non-CAD group (p<0.001). A significant positive correlation between TNC levels and Gensini score (p<0.01, r=0.672) was found. ROC curve analysis demonstrated that the cutoff value for TNC at 89.48 ng/mL was well differentiated in the CAD and non-CAD groups. Furthermore, TNC was also a good predictor for a higher Gensini score (the third tertile) in the ROC curve analysis. When the cutoff was accepted as 100.91 ng/mL, the sensitivity and specificity were 82.7% and 79%, respectively.A significant relationship was found between the Gensini score and serum TNC level. TNC levels can be considered in risk assessments for CAD before angiography.
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