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Yang W, Sun L, Cao X, Li L, Zhang X, Li J, Zhao H, Zhan C, Zang Y, Li T, Zhang L, Liu G, Li W. Detection of circRNA Biomarker for Acute Myocardial Infarction Based on System Biological Analysis of RNA Expression. Front Genet 2021; 12:686116. [PMID: 33995502 PMCID: PMC8120315 DOI: 10.3389/fgene.2021.686116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 04/12/2021] [Indexed: 11/17/2022] Open
Abstract
Acute myocardial infarction (AMI) is myocardial necrosis caused by the persistent interruption of myocardial blood supply, which has high incidence rate and high mortality in middle-aged and elderly people in the worldwide. Biomarkers play an important role in the early diagnosis and treatment of AMI. Recently, more and more researches confirmed that circRNA may be a potential diagnostic biomarker and therapeutic target for cardiovascular diseases. In this paper, a series of biological analyses were performed to find new effective circRNA biomarkers for AMI. Firstly, the expression levels of circRNAs in blood samples of patients with AMI and those with mild coronary stenosis were compared to reveal circRNAs which were involved in AMI. Then, circRNAs which were significant expressed abnormally in the blood samples of patients with AMI were selected from those circRNAs. Next, a ceRNA network was constructed based on interactions of circRNA, miRNA and mRNA through biological analyses to detect crucial circRNA associated with AMI. Finally, one circRNA was selected as candidate biomarker for AMI. To validate effectivity and efficiency of the candidate biomarker, fluorescence in situ hybridization, hypoxia model of human cardiomyocytes, and knockdown and overexpression analyses were performed on candidate circRNA biomarker. In conclusion, experimental results demonstrated that the candidate circRNA was an effective biomarker for diagnosis and therapy of AMI.
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Affiliation(s)
- Wen Yang
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Li Sun
- Department of Cardiology, The First Affiliated Hospital, China University of Science and Technology, Hefei, China
| | - Xun Cao
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Luyifei Li
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Xin Zhang
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Jianqian Li
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Hongyan Zhao
- Department of Cardiology, The People's Hospital of Liaoning Province, Shenyang, China
| | - Chengchuang Zhan
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Yanxiang Zang
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Tiankai Li
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Li Zhang
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Guangzhong Liu
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Weimin Li
- Department of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin, China
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Wong KKL. Optimization in the Design of Natural Structures, Biomaterials, Bioinformatics and Biometric Techniques for Solving Physiological Needs and Ultimate Performance of Bio-devices. Curr Bioinform 2019. [DOI: 10.2174/157489361405190628122355] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Kelvin Kian Loong Wong
- Centre for Biomedical Engineering, School of Electrical and Electronics Engineering, University of Adelaide, Adelaide, SA 5005, Australia
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