The ceRNA Crosstalk between mRNAs and lncRNAs in Diabetes Myocardial Infarction

Area of Science:

• Molecular Biology
• Genetics
• Cardiovascular Research

Background:

• Diabetes mellitus (DM) and myocardial infarction (MI) often coexist, leading to complex cardiovascular complications.
• The specific competitive endogenous RNA (ceRNA) regulatory mechanisms involving lncRNA-miRNA-mRNA in patients with both DM and MI remain largely unknown.

Purpose of the Study:

• To investigate the ceRNA regulatory network of lncRNA-miRNA-mRNA in patients with diabetes mellitus and myocardial infarction.
• To identify potential molecular biomarkers for diabetic cardiovascular diseases.

Main Methods:

• Utilized Gene Expression Omnibus datasets (GSE34198, GSE112690) to identify differentially expressed lncRNAs, miRNAs, and mRNAs.
• Employed Weighted Gene Correlation Network Analysis (WGCNA) to find relevant gene modules.
• Predicted miRNA-target gene interactions using multiple databases (miRWalk, TargetScan, mirDB, RNA22, miRanda).
• Performed functional enrichment analyses (Gene Ontology, KEGG) to construct the ceRNA network.

Main Results:

• Constructed a ceRNA regulatory network comprising three lncRNAs, two miRNAs, and nine mRNAs.
• Identified enriched biological processes related to immune response and defense feedback.
• Found significant enrichment in molecular functions including receptor binding (toll-like receptor, RAGE receptor) and lipid binding.
• KEGG analysis highlighted enriched pathways associated with MI (inflammation, immune response) and diabetes.

Conclusions:

• Confirmed significantly altered lncRNAs, miRNAs, and mRNAs in MI patients with diabetes, suggesting their potential as biomarkers.
• The constructed ceRNA network provides novel insights into the molecular mechanisms underlying the interaction between DM and MI.
• This research lays the groundwork for improved clinical diagnosis and treatment strategies for diabetic cardiovascular diseases.