Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Cardiovascular Research Institute, Wuhan University, Wuhan 430060, China.
Comput Math Methods Med. 2020 Jul 6;2020:8183420. doi: 10.1155/2020/8183420. eCollection 2020.
Coronary artery disease (CAD) is a type of heart disease with a high morbidity rate. This study is aimed at identifying potential biomarkers closely related to the progression of CAD.
A microarray dataset of GSE59867 was downloaded from a public database, Gene Expression Omnibus, which included 46 cases of stable CAD without a history of myocardial infarction (MI), 30 cases of MI without heart failure (HF), and 34 cases of MI with HF. Differentially expressed long noncoding RNAs (DElncRNAs) and mRNAs (DEmRNAs) were identified by the limma package, and functions of DEmRNAs were annotated by Gene Ontology and KEGG pathways. In addition, weighed gene coexpression network analysis (WGCNA) was used to construct a coexpression network of DEmRNAs, and a disease-related lncRNAs-mRNAs-pathway network was constructed. Finally, the datasets of GSE61145 and GSE57338 were used to verify the expression levels of the above highly correlated candidates.
A total of 2362 upregulated mRNAs and 2816 downregulated mRNAs, as well as 235 upregulated lncRNAs and 113 downregulated lncRNAs were screened. These genes were significantly enriched in "cytokine-cytokine receptor interaction," "RIG-I-like receptor signaling pathway," and "natural killer cell-mediated cytotoxicity." Five modules including 1201 DEmRNAs were enriched in WGCNA. A coexpression network including 19 DElncRNAs and 413 DEmRNAs was constructed. These genes were significantly enriched in "phosphatidylinositol signaling system," "insulin signaling pathway," and "MAPK signaling pathway". Disease-related gene-pathway network suggested in "insulin signaling pathway," in "phosphatidylinositol signaling system," and in "MAPK signaling pathway" were involved in MI.
, , and were revealed to be CAD progression-associated genes by WGCNA coexpression network analysis.
冠心病（CAD）是一种发病率较高的心脏病。本研究旨在寻找与 CAD 进展密切相关的潜在生物标志物。
从公共数据库基因表达综合数据库中下载 GSE59867 的微阵列数据集，该数据集包含 46 例无心肌梗死（MI）病史的稳定 CAD 病例、30 例无心力衰竭（HF）的 MI 病例和 34 例伴有 HF 的 MI 病例。通过 limma 包鉴定差异表达的长非编码 RNA（DElncRNA）和信使 RNA（DEmRNA），并通过基因本体论和 KEGG 通路注释 DEmRNA 的功能。此外，还使用加权基因共表达网络分析（WGCNA）构建了 DEmRNA 的共表达网络，并构建了疾病相关 lncRNA-mRNA-通路网络。最后，使用 GSE61145 和 GSE57338 数据集验证上述高度相关候选物的表达水平。
筛选出 2362 个上调的 mRNAs 和 2816 个下调的 mRNAs，以及 235 个上调的 lncRNAs 和 113 个下调的 lncRNAs。这些基因在“细胞因子-细胞因子受体相互作用”、“RIG-I 样受体信号通路”和“自然杀伤细胞介导的细胞毒性”中显著富集。WGCNA 富集了 5 个包含 1201 个 DEmRNA 的模块。构建了包含 19 个 DElncRNA 和 413 个 DEmRNA 的共表达网络。这些基因在“磷脂酰肌醇信号系统”、“胰岛素信号通路”和“MAPK 信号通路”中显著富集。疾病相关基因-通路网络表明，“胰岛素信号通路”、“磷脂酰肌醇信号系统”和“MAPK 信号通路”中分别有 、 和 个基因与 MI 有关。
通过 WGCNA 共表达网络分析，揭示了 、 、 和 是与 CAD 进展相关的基因。
