Nooh Mona, Hakemi-Vala Mojdeh, Nowroozi Jamileh, Fatemi Seyed-Reza, Dezfulian Mehrouz
Department of Microbiology, Karaj Branch, Islamic Azad University, Karaj, Iran.
Department of Microbiology, Medical School, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Rep Biochem Mol Biol. 2021 Jul;10(2):243-256. doi: 10.52547/rbmb.10.2.243.
The aim of the study was to suggest a high specific and sensitive blood biomarker for early GC diagnosis.
the expression data of miRNAs and mRNAs were collected from the blood samples of the GC patients based on literature mining. Bioinformatics tools and databases (PANTHER, TargetScan, miRTarBase, miRDB, STRING, and Cytoscape) were used to predict the regulatory relationship. Subsequently, expression level of the selected miRNA was evaluated in the blood samples of gastritis patients to recognize the common miRNA between the GC and gastritis patients.
Analysis of 40 target genes by MCODE (installed in Cytoscape software) indicated 4 hub genes (WWP1, SKP2, KLHL42, and FBXO11) as a significant cluster in the PPI network related to miR-21, with Node Score Cutoff: 0.2, Degree Cutoff: 2 and K-Core: 2. In addition, the miRNA RT-qPCR results showed that, the expression level of miR-21 was significantly higher in gastritis group compared to the healthy group (p< 0.05).
the present study clearly demonstrated the increasing level of blood miR-21 among the gastritis patients infected by . Therefore, the altered miRNAs, especially overexpression of onco-miRs, may identify a potential link between miRNAs and pathogenesis of the -related complications.
本研究的目的是提出一种用于早期胃癌(GC)诊断的高特异性和敏感性的血液生物标志物。
基于文献挖掘从GC患者的血液样本中收集miRNA和mRNA的表达数据。使用生物信息学工具和数据库(PANTHER、TargetScan、miRTarBase、miRDB、STRING和Cytoscape)来预测调控关系。随后,在胃炎患者的血液样本中评估所选miRNA的表达水平,以识别GC患者和胃炎患者之间的共同miRNA。
通过MCODE(安装在Cytoscape软件中)对40个靶基因进行分析,表明4个枢纽基因(WWP1、SKP2、KLHL42和FBXO11)在与miR-21相关的蛋白质-蛋白质相互作用(PPI)网络中是一个显著的聚类,节点得分截止值:0.2,度截止值:2,K核:2。此外,miRNA逆转录定量聚合酶链反应(RT-qPCR)结果显示,胃炎组中miR-21的表达水平显著高于健康组(p<0.05)。
本研究清楚地证明了感染的胃炎患者血液中miR-21水平升高。因此,改变的miRNA,特别是癌miR的过表达,可能确定miRNA与相关并发症发病机制之间的潜在联系。