The Particular Expression Profiles of Circular RNA in Peripheral Blood of Myocardial Infarction Patients by RNA Sequencing

被引:10
|
作者
Li, Qi [1 ,2 ,3 ]
Wang, Yuanyong [4 ]
An, Yi [5 ]
Wang, Jianxun [3 ]
Gao, Yufang [6 ]
机构
[1] Qingdao Univ, Sch Nursing, Qingdao, Peoples R China
[2] Qingdao Univ, Affiliated Hosp, Dept Nursing, Qingdao, Peoples R China
[3] Qingdao Univ, Sch Basic Med Sci, Qingdao, Peoples R China
[4] Tangdu Hosp AF Mil Med Univ, Dept Thorac Surg, Xi'an, Peoples R China
[5] Qingdao Univ, Affiliated Hosp, Dept Cardiol, Qingdao, Peoples R China
[6] Qingdao Univ, Affiliated Hosp, Dept Emergency, Qingdao, Peoples R China
来源
基金
美国国家科学基金会;
关键词
circular RNA; myocardial infarction; RNA sequencing; biomarkers; cardiovascular diseases; HEART-FAILURE; APOPTOSIS; INDUCTION; KEGG;
D O I
10.3389/fcvm.2022.810257
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Myocardial infarction (MI) is one of the most common illnesses seriously harmful to human health. Notwithstanding, the systems of its pathogenesis are as yet not totally demonstrated. CircRNA is one sort of non-coding RNA, and late distributed information proposes that circRNAs assume a significant part in heart diseases; however, their expression profiles in the peripheral blood of patients with MI are not yet totally characterized. Therefore, RNAs from peripheral blood were recruited for high-throughput RNA-seq analysis. A total of 3,862 circRNAs were distinguished to be remarkably different, including 2,738 circRNAs being upregulated and 1,124 circRNAs being downregulated. circTMEM165, circUBAC2, circZNF609, circANKRD12, and circSLC8A1 were reconfirmed by RT-qPCR in the cell model. ROC curves uncovered that they have great sensitivity and specificity in the determination of MI. Besides, circRNAs are associated with cell metabolism and function by directing complex networks among circular RNAs, microRNAs, and messenger RNAs. In outline, our study portrayed the specific articulation profiles of circular RNA in patients with MI. The outcomes showed that circRNAs might fill in as a sort of ideal biomarkers for MI diagnosis. Further exploration of these circRNAs may enrich our understanding of MI etiology and progression.
引用
收藏
页数:14
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