Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, China; School of Public Health, Fujian Medical University, Minhou County, Fuzhou, China.
The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Int J Cardiol. 2021 Apr 1;328:165-175. doi: 10.1016/j.ijcard.2020.11.064. Epub 2020 Dec 3.
This study aims to explore the possible ceRNA regulatory network of lncRNA ENST00000609755.1 in CHD patients based on the population; reveal the possible regulatory mechanism of lncRNA ENST00000609755.1.
Microarray analysis were used to identify differentially expressed miRNA, and mRNA profiles between 5 CHD and 5 healthy controls. The lncRNA ENST00000609755.1-miRNA-mRNA ceRNA regulatory network was constructed with lncRNA ENST00000609755.1 as the core based on microarray data and related prediction software (RNAhybird, miRanda, miRWalk 2.0). Furthermore, qRT-PCR was used to verify the expression levels of miRNA and mRNA. t-test and pearson correlation analysis were used to compare the expression differences and correlations of lncRNA, miRNA and mRNA. The receiver operating characteristic (ROC) curve was used to determine the discriminative ability of lncRNA ENST00000609755.1 and its downstream targets.
Totally 25 miRNAs and 953 mRNAs were differentially expressed between CHD and healthy control. The lncRNA ENST00000609755.1- miRNA- mRNA ceRNA regulatory network was constructed (5 miRNA and 58 mRNA). qRT-PCR results suggest that the expression of lncRNA ENST00000609755.1 and ELK1 were up-regulated in CHD group and positively correlated, the expression of miR-150 was down-regulated in CHD, which was negatively correlated with lncRNA ENST00000609755.1 and ELK1. The AUC was 0.777(95%CI, 0.659-0.895) when miRNA-150 and ELK1 was added, which was higher than that of lncRNA ENST00000609755.1 single indicator.
LncRNA ENST00000609755.1, miR-150 and ELK1 may have a potential ceRNA regulatory network relationship which could be considered to have a good combined diagnostic value for CHD. Also, preliminarily reveal the possible mechanism of lncRNA ENST00000609755.1 involved in CHD.
本研究旨在基于人群探索 lncRNA ENST00000609755.1 在 CHD 患者中的可能 ceRNA 调控网络；揭示 lncRNA ENST00000609755.1 的可能调控机制。
采用微阵列分析技术比较 5 例 CHD 患者与 5 例健康对照之间差异表达的 miRNA 和 mRNA 谱。以 lncRNA ENST00000609755.1 为核心，基于微阵列数据和相关预测软件（RNAhybird、miRanda、miRWalk 2.0）构建 lncRNA ENST00000609755.1-miRNA-mRNA ceRNA 调控网络。进一步采用 qRT-PCR 验证 miRNA 和 mRNA 的表达水平。采用 t 检验和 Pearson 相关分析比较 lncRNA、miRNA 和 mRNA 的表达差异和相关性。采用受试者工作特征（ROC）曲线判断 lncRNA ENST00000609755.1 及其下游靶基因的鉴别能力。
CHD 组与健康对照组间共发现 25 个 miRNA 和 953 个 mRNA 存在差异表达。构建 lncRNA ENST00000609755.1-miRNA-mRNA ceRNA 调控网络（5 个 miRNA 和 58 个 mRNA）。qRT-PCR 结果显示，lncRNA ENST00000609755.1 和 ELK1 在 CHD 组中呈上调表达，呈正相关，miR-150 在 CHD 中呈下调表达，与 lncRNA ENST00000609755.1 和 ELK1 呈负相关。miR-150 和 ELK1 联合时 AUC 为 0.777（95%CI：0.659-0.895），高于 lncRNA ENST00000609755.1 单一指标。
lncRNA ENST00000609755.1、miR-150 和 ELK1 可能存在潜在的 ceRNA 调控网络关系，对 CHD 具有较好的联合诊断价值。同时，初步揭示了 lncRNA ENST00000609755.1 参与 CHD 的可能机制。
