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通过RNA测序分析心肌梗死患者外周血中环状RNA的特定表达谱

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

作者信息

Li Qi, Wang Yuanyong, An Yi, Wang Jianxun, Gao Yufang

机构信息

School of Nursing, Qingdao University, Qingdao, China.

Department of Nursing, The Affiliated Hospital of Qingdao University, Qingdao, China.

出版信息

Front Cardiovasc Med. 2022 Jun 6;9:810257. doi: 10.3389/fcvm.2022.810257. eCollection 2022.

DOI:10.3389/fcvm.2022.810257
PMID:35734281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9207279/
Abstract

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.

摘要

心肌梗死（MI）是对人类健康危害严重的常见疾病之一。尽管如此，其发病机制尚未完全阐明。环状RNA（circRNA）是一类非编码RNA，最近发布的信息表明circRNA在心脏病中起重要作用；然而，它们在MI患者外周血中的表达谱尚未完全明确。因此，收集外周血RNA进行高通量RNA测序分析。共鉴定出3862种差异显著的circRNA，其中2738种上调，1124种下调。在细胞模型中通过RT-qPCR再次证实了circTMEM165、circUBAC2、circZNF609、circANKRD12和circSLC8A1。ROC曲线显示它们在MI诊断中具有较高的敏感性和特异性。此外，circRNA通过调控环状RNA、微小RNA和信使RNA之间的复杂网络，与细胞代谢和功能相关。总之，我们的研究描绘了MI患者环状RNA的特异性表达谱。结果表明，circRNA可能作为MI诊断的一种理想生物标志物。对这些circRNA的进一步探索可能会丰富我们对MI病因和进展的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/e956d0242e52/fcvm-09-810257-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/bd5a590a2fb4/fcvm-09-810257-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/2f1e280ba4a6/fcvm-09-810257-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/16642db2bdff/fcvm-09-810257-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/f37bee507c94/fcvm-09-810257-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/e956d0242e52/fcvm-09-810257-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/3b8922f95507/fcvm-09-810257-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/5c985878da86/fcvm-09-810257-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/04b7ae7e05fd/fcvm-09-810257-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/9fa3a9ec7838/fcvm-09-810257-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/bd5a590a2fb4/fcvm-09-810257-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/2f1e280ba4a6/fcvm-09-810257-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/16642db2bdff/fcvm-09-810257-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/f37bee507c94/fcvm-09-810257-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cee/9207279/e956d0242e52/fcvm-09-810257-g009.jpg

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