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与急性心肌梗死相关的关键微小RNA和靶基因的生物标志物。

The biomarkers of key miRNAs and target genes associated with acute myocardial infarction.

作者信息

Wang Qi, Liu Bingyan, Wang Yuanyong, Bai Baochen, Yu Tao, Chu Xian-Ming

机构信息

Department of Cardiology, The Affiliated hospital of Qingdao University, Qingdao, China.

School of Basic Medicine, Qingdao University, Qingdao, China.

出版信息

PeerJ. 2020 May 13;8:e9129. doi: 10.7717/peerj.9129. eCollection 2020.

DOI:10.7717/peerj.9129
PMID:32440375
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7229769/
Abstract

BACKGROUND

Acute myocardial infarction (AMI) is considered one of the most prominent causes of death from cardiovascular disease worldwide. Knowledge of the molecular mechanisms underlying AMI remains limited. Accurate biomarkers are needed to predict the risk of AMI and would be beneficial for managing the incidence rate. The gold standard for the diagnosis of AMI, the cardiac troponin T (cTnT) assay, requires serial testing, and the timing of measurement with respect to symptoms affects the results. As attractive candidate diagnostic biomarkers in AMI, circulating microRNAs (miRNAs) are easily detectable, generally stable and tissue specific.

METHODS

The Gene Expression Omnibus (GEO) database was used to compare miRNA expression between AMI and control samples, and the interactions between miRNAs and mRNAs were analysed for expression and function. Furthermore, a protein-protein interaction (PPI) network was constructed. The miRNAs identified in the bioinformatic analysis were verified by RT-qPCR in an H9C2 cell line. The miRNAs in plasma samples from patients with AMI ( = 11) and healthy controls ( = 11) were used to construct receiver operating characteristic (ROC) curves to evaluate the clinical prognostic value of the identified miRNAs.

RESULTS

We identified eight novel miRNAs as potential candidate diagnostic biomarkers for patients with AMI. In addition, the predicted target genes provide insight into the molecular mechanisms underlying AMI.

摘要

背景

急性心肌梗死（AMI）被认为是全球心血管疾病死亡的最主要原因之一。关于AMI潜在分子机制的了解仍然有限。需要准确的生物标志物来预测AMI风险，这将有助于控制发病率。诊断AMI的金标准——心肌肌钙蛋白T（cTnT）检测，需要进行系列检测，且检测时间相对于症状会影响结果。作为AMI中颇具吸引力的候选诊断生物标志物，循环微小RNA（miRNA）易于检测、通常稳定且具有组织特异性。

方法

使用基因表达综合数据库（GEO）比较AMI样本与对照样本之间的miRNA表达，并分析miRNA与mRNA之间的相互作用，以了解其表达和功能。此外，构建了蛋白质-蛋白质相互作用（PPI）网络。在H9C2细胞系中通过RT-qPCR验证了生物信息学分析中鉴定出的miRNA。使用来自AMI患者（n = 11）和健康对照（n = 11）的血浆样本中的miRNA构建受试者工作特征（ROC）曲线，以评估所鉴定miRNA对临床预后的价值。

结果

我们鉴定出8种新型miRNA作为AMI患者潜在的候选诊断生物标志物。此外，预测的靶基因有助于深入了解AMI的潜在分子机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/26ab85a1567d/peerj-08-9129-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/07a87b04178e/peerj-08-9129-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/308aa55dc7c8/peerj-08-9129-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/e375a34ee8db/peerj-08-9129-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/fbc816c2975b/peerj-08-9129-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/256ec510b4cd/peerj-08-9129-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/a4b10fbad91a/peerj-08-9129-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/26ab85a1567d/peerj-08-9129-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/07a87b04178e/peerj-08-9129-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/308aa55dc7c8/peerj-08-9129-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/e375a34ee8db/peerj-08-9129-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/fbc816c2975b/peerj-08-9129-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/256ec510b4cd/peerj-08-9129-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/a4b10fbad91a/peerj-08-9129-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/7229769/26ab85a1567d/peerj-08-9129-g007.jpg

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