Plasma-Derived Exosomal Circular RNA hsa_circ_0005540 as a Novel Diagnostic Biomarker for Coronary Artery Disease

Author:

Wu Wei-peng12,Pan Yan-hong12,Cai Meng-yun1,Cen Jin-ming3,Chen Can4,Zheng Lei5,Liu Xinguang12,Xiong Xing-dong12ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Institute of Aging Research, Guangdong Medical University, Dongguan 523808, China

2. Institute of Biochemistry & Molecular Biology, Guangdong Medical University, Zhanjiang 524023, China

3. Department of Cardiovascular Disease, The First People’s Hospital of Foshan, Foshan 528000, China

4. Department of Cardiovascular Disease, The Affiliated Hospital of Guangdong Medical University, Zhanjiang 524023, China

5. Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China

Abstract

Background. Exosomes exist in almost all body fluid and contain diverse biological contents which may be reflective of disease state. Circular RNAs (circRNAs) are stable in structure and have a long half-life in exosomes without degradation, thus making them reliable biomarkers. However, the potential of exosomal circRNAs as biomarkers of coronary artery disease (CAD) remains to be established. Here, we aimed to investigate the expression levels and the potential use of exosomal circRNAs as diagnostic biomarkers for CAD. Methods. CircRNA expression levels in exosomes obtained from three plasma samples of CAD patients and three paired controls were analyzed using RNA sequencing. Exosomal circRNAs obtained in the profiling phase were then verified in two-center validation cohorts. Finally, the ability of exosomal circRNAs, adjusting for Framingham Heart Study (FHS) risk factors, was determined to discriminate between CAD patients and non-CAD controls. Results. 355 circRNAs were differentially expressed between these two groups: 164 were upregulated, and 191 were downregulated. Here, we selected the potential circRNAs (foldchange>4, P<0.05) as candidate biomarkers for further validation. Our data showed that only hsa_circ_0005540 was significantly associated with CAD (P<0.0001). After adjustment for risk factors, hsa_circ_0005540 showed a high discriminatory power for CAD in ROC analyses (AUC=0.853; 95%confidenceintervalCI=0.7990.906, P<0.001). Conclusion. Our results suggest that plasma exosomal hsa_circ_0005540 can be used as a promising diagnostic biomarker of CAD.

Funder

Construction of Basic Medical Disciplines in Guangdong Medical University

Publisher

Hindawi Limited

Subject

Biochemistry (medical),Clinical Biochemistry,Genetics,Molecular Biology,General Medicine

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