Zhu Yujie, Lin Yuxin, Yan Wenying, Sun Zhandong, Jiang Zhi, Shen Bairong, Jiang Xiaoqian, Shi Jingjing
Center for Systems Biology, Soochow University, Suzhou 215006, China; Biomedical Informatics Division, UC San Diego, La Jolla, CA, USA; Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008, China.
Center for Systems Biology, Soochow University, Suzhou 215006, China.
Biomed Res Int. 2016;2016:4618323. doi: 10.1155/2016/4618323. Epub 2016 Dec 1.
Acute coronary syndrome (ACS) is a life-threatening disease that affects more than half a million people in United States. We currently lack molecular biomarkers to distinguish the unstable angina (UA) and acute myocardial infarction (AMI), which are the two subtypes of ACS. MicroRNAs play significant roles in biological processes and serve as good candidates for biomarkers. In this work, we collected microRNA datasets from the Gene Expression Omnibus database and identified specific microRNAs in different subtypes and universal microRNAs in all subtypes based on our novel network-based bioinformatics approach. These microRNAs were studied for ACS association by pathway enrichment analysis of their target genes. AMI and UA were associated with 27 and 26 microRNAs, respectively, nine of them were detected for both AMI and UA, and five from each subtype had been reported previously. The remaining 22 and 21 microRNAs are novel microRNA biomarkers for AMI and UA, respectively. The findings are then supported by pathway enrichment analysis of the targets of these microRNAs. These novel microRNAs deserve further validation and will be helpful for personalized ACS diagnosis.
急性冠状动脉综合征（ACS）是一种危及生命的疾病，在美国影响着超过50万人。我们目前缺乏能够区分不稳定型心绞痛（UA）和急性心肌梗死（AMI）这两种ACS亚型的分子生物标志物。微小RNA在生物过程中发挥着重要作用，是生物标志物的良好候选者。在这项研究中，我们从基因表达综合数据库收集了微小RNA数据集，并基于我们新颖的基于网络的生物信息学方法，鉴定了不同亚型中的特定微小RNA以及所有亚型中的通用微小RNA。通过对其靶基因进行通路富集分析，研究了这些微小RNA与ACS的关联。AMI和UA分别与27个和26个微小RNA相关，其中9个在AMI和UA中均被检测到，每个亚型中有5个先前已被报道。其余22个和21个微小RNA分别是AMI和UA的新型微小RNA生物标志物。这些发现随后通过对这些微小RNA靶标的通路富集分析得到支持。这些新型微小RNA值得进一步验证，将有助于ACS的个性化诊断。
