4.6 Article

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

Journal

AGING-US
Volume 13, Issue 6, Pages 8944-8959

Publisher

IMPACT JOURNALS LLC

Keywords

myocardial infarction; lncRNAs; diagnostic models; support vector machine; weighted gene co-expression network analysis

Funding

  1. National Natural Science Foundation of China [819770367, 81670417, 81500361, 81370389]
  2. National Key R&D Program of the Ministry of Science and Technology of China [2020YFC2004400]
  3. Science and Technology Planning Project of Shenzhen Municipality [YJ20180306174831458]
  4. Public Health Research Fund of Futian District, Shenzhen [FTWS2018071]
  5. Shenzhen Science and technology RD Fund [JCYJ20160608142215491]
  6. Shenzhen Key Medical Discipline Construction Fund [SZXK002]

Ask authors/readers for more resources

The study identified 17 co-expression modules specifically expressed in MI, 12 time-dependent lncRNA/mRNA clusters with consistent expression trends, mainly enriched in immune, cell cycle, and metabolic pathways. Gene markers specifically expressed in MI and potential precursors of MI were determined. Diagnostic models based on genes and lncRNAs showed high predictive performance.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available