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Increased glycoprotein acetylation is associated with high cardiac event rates: analysis with coronary computed tomography angiography [Anatol J Cardiol]
Anatol J Cardiol. Ahead of Print: AJC-01058 | DOI: 10.14744/AnatolJCardiol.2018.01058  

Increased glycoprotein acetylation is associated with high cardiac event rates: analysis with coronary computed tomography angiography

Lihua An, Qingxu Liu, Haixia Feng, Xueqin Bai, Yan Dang, Chao Li, Zili Yang, Jing Li
Department of Radiology, the Affiliated Hospital of Jining Medical University, Jining, Shandong, China

Objective: Glycoprotein acetylation (GlycA), an emerging inflammatory biomarker, has been used as an indicator of cardiovascular disease (CVD). Our research aimed to evaluate the relationship between GlycA and the coronary artery disease (CAD) observed via coronary computed tomography angiography (CCTA). Methods: In the current study, a total of 342 subjects were enrolled, and each of them underwent CCTA. The correlation between GlycA and major adverse cardiac events (MACE) was detected via Cox’s proportional hazards models. Based on differences in GlycA level, subjects were categorized into 3 groups (T1, T2, and T3). Results: In comparison with the group with the lowest GlycA level (T1), the group with the highest GlycA level (T3) had stronger atherosclerotic pressure involving the degree of atherosclerotic plaque and risk of obstructive CAD. In addition, the group T3 had a greater chance of experiencing MACE and higher all-cause mortality than the group T1. Among patients without CAD who underwent CCTA, those with high GlycA levels experienced elevation of atherosclerotic stress and heightened risk of MACE compared with those with low GlycA levels. Conclusions: These results suggest serum GlycA is significantly associated with long-term clinical results of patients with no known CAD undergoing CCTA. The risks of death and having MACE increased among patients with high levels of GlycA.

Keywords: Glycoprotein acetylation, Coronary artery disease, Coronary computed tomography angiography, Plaque




Corresponding Author: Jing Li, China


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