Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2016, Article ID 4980251, 8 pages
Clinical Study

The Correlation of Serum Myeloid-Related Protein-8/14 and Eosinophil Cationic Protein in Patients with Coronary Artery Disease

The Affiliated Hospital of Zhejiang Traditional Chinese Medicine University, Hangzhou 310006, China

Received 25 August 2015; Revised 22 October 2015; Accepted 6 December 2015

Academic Editor: Koichiro Wada

Copyright © 2016 Guo-lian Xia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objective. To investigate the changes in serum Myeloid-Related Protein 8/14 (MRP8/14) and Eosinophil Cationic Protein (ECP) levels in patients with different types of coronary artery diseases (CAD) and assess the value of MRP8/14 and ECP detection in predicting CAD. Methods. 178 patients were divided into CAD group including unstable angina pectoris (UAP), acute myocardial infarction (AMI), and stable angina pectoris (SAP). Thirty-six individuals with normal coronary artery served as the control group. Serum MRP8/14 and ECP were measured by ELISA. The severity of coronary artery stenosis was assessed by the numbers of involved coronary artery branches and the sum of Gensini scores. Results. The MRP8/14 levels were significantly higher in AMI and UAP group than SAP and control group (). The levels of MRP8/14 in AMI group were also obviously higher than UAP group (). The ECP levels were obviously increased in AMI group, but there was no difference between SAP and UAP group (). The ECP was significantly increased in three impaired coronary arteries and obviously correlated with Gensini score (), whereas the MRP8/14 was obviously positively correlated with CRP (). Conclusions. Increased MRP8/14 levels suggest the instability of the atherosclerotic plaque. ECP reflects the severity of coronary arteries stenosis, predicting atherosclerosis burden. They may become the new biomarkers of CAD.