LncRNA-mRNA co-expression analysis discovered the diagnostic and prognostic biomarkers and potential therapeutic agents for myocardial infarction

被引:2
|
作者
Zhang, Xiaocong [1 ,2 ]
Chen, Ziqi [2 ]
Zang, Jiabin [2 ]
Yao, Chun [2 ]
Shi, Jian [2 ]
Nie, Ruqiong [1 ]
Wu, Guifu [2 ,3 ,4 ]
机构
[1] Sun Yat Sen Univ, Dept Cardiol, Sun Yat Sen Mem Hosp, Guangzhou, Peoples R China
[2] Sun Yat Sen Univ, Dept Cardiol, Affiliated Hosp 8, Shenzhen, Guangdong, Peoples R China
[3] Guangdong Innovat Engn & Technol Res Ctr Assisted, Shenzhen, Peoples R China
[4] Sun Yat Sen Univ, NHC Key Lab Assisted Circulat, Guangzhou, Guangdong, Peoples R China
来源
AGING-US | 2021年 / 13卷 / 06期
基金
中国国家自然科学基金;
关键词
myocardial infarction; lncRNAs; diagnostic models; support vector machine; weighted gene co-expression network analysis;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Currently, the role of lncRNA in myocardial infarction (MI) is poorly understood. 17 co-expression modules were determined, specifically, the greenyellow, saddlebrown, grey60, royalblue, lightgreen, white, and pink modules were specifically expressed in the acute phase of MI, and brown, darkred, and royalblue, while greenyellow modules were specifically expressed in MI compared with CAD. 12 time-dependent of lncRNA/mRNA clusters with consistent expression trends were also identified. MI-associated modules were mainly enriched to immune, cell cycle, and metabolic pathways. We further obtained a network of 1816 lncRNA-mRNAs with higher expression correlations among these lncRNAs by analyzing the topological properties of the network. Herein, lncRNA RP11-847H18.2 and KLHL28, SPRTN, and EPM2AIP1 were determined as gene markers specifically expressed in MI, and they demonstrated a high predictive performance for MI diagnosis and prognosis. Three drugs, namely, Calcium citrate, Calcium Phosphate, and Calcium phosphate dihydrate, were identified as potential precursors of MI. Finally, gene and lncRNA diagnostic models were developed based on these genes and lncRNAs, with their AUCs averaged above 0.89 in both training and validation datasets. The findings of this study improve the diagnosis and prognosis of MI and personalized treatment of MI.
引用
收藏
页码:8944 / 8959
页数:16
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