中文摘要：

目的：筛选冠心病血瘀证相关差异表达非编码RNA（lncRNA）,微小RNA（microRNA,miRNA）,信使RNA（mRNA）,构建基因间调控网络,从转录组层面研究冠心病血瘀证物质基础和病理机制。方法：使用高通量测序技术,分别检测冠心病血瘀证、冠心病非血瘀证和正常（各5例）lncRNA,miRNA和mRNA表达情况,通过交联分析筛选冠心病血瘀证相关的差异基因表达谱。对获得的差异基因进行功能通路分析,根据基因间Pearson相关分析和star Base靶基因预测平台,构建基因间调控网络,通过网络拓扑分析,筛选其中的关键基因。在另一匹配队列中（每组各15例）对基因调控网络中的关键节点进行实时荧光定量PCR（Real-time PCR）验证。结果：39个lncRNA,229个miRNA和221个mRNA与冠心病血瘀证密切相关。功能与通路分析结果显示,冠心病血瘀证差异表达基因主要与免疫和炎症相关。共有9个lncRNA（均为下调）,31个mRNA（11个上调,20个下调）和24个miRNA（14个上调,10个下调）构成共调控网络,包括76个基因间调控关系。CTA-384D8.35,CTB-114C7.4,RP11-567M16.6和hsa-miR-3158-3p是冠心病血瘀证基因调控网络中的关键节点。Real-time PCR结果验证了上述结果。结论：冠心病血瘀证存在lncRNA-miRNA-mRNA差异表达基因谱,其与免疫和炎症密切相关;差异表达基因间存在相互调控关系,并可依此构建冠心病血瘀证相关lncRNA-miRNA-mRNA调控网络。对冠心病血瘀证的物质基础进行深度挖掘,可为从转录组层面开展中医证型相关研究提供了一定的科学基础。

英文摘要：

Objective： To identify the differentially expressed lncRNA, miRNA and mRNA levels related to coronary heart disease （CHD） blood stasis syndrome, construct the interaction network, and explore the material foundation and mechanism of blood stasis syndrome from the perspective of transcriptomics. Method： The expression levels of lncRNA, miRNA and mRNA in CHD blood stasis syndrome group, non-blood stasis syndrome group and healthy group were detected via high-throughput sequencing technology, and the differentially expressed genes related to CHD blood stasis syndrome were identified by using crosslinking analysis. Functional and pathway enrichment was performed for the obtained differentially expressed genes, and then the interaction network was constructed by Pearson correlation analysis and starBase prediction. Key nodes of interaction network were screened out by tropical analysis. Another cohort was enrolled to verify the key nodes in interaction network with Real-time PCR. Result： The 39 lncRNAs, 229 miRNAs and 221 mRNAs were closely related to CHD blood stasis syndrome. Functional and pathway analysis results showed that the differentially expressed genes were majorly correlated to immune and inflammation. A total of 9 lncRNAs （all down-regulated） , 31 mRNAs （11 up-regulated and 20 down-regulated） and 24 miRNAs （14 up-regulated and 10 down-regulated） constituted the regulation network, including 76 intergenic relationships. CTA-384D8.35, CTB-114C7.4, RPll-567M16.6 and hsa-miR- 3158-3p were the key nodes in CHD blood stasis syndrome interaction network, which was verified by Real-time PCR. Conclusion： CHD blood stasis syndrome has specific lncRNA, miRNA and mRNA expression profiles, closed related to immunity and inflammation; gene-gene interactions exist among differentially expressed genes, and CHD blood stasis syndrome related lncRNA-miRNA-mRNA interaction network can be constructed on this basis.