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Published on: June 15, 2018
Influence of microRNA-related polymorphisms on clinical outcomes in coronary artery disease
Qianzhen Li1, Liangwan Chen1, Daozhong Chen1
1Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University Fujian 350001, China.
Abstract:
Genetic variants in pre-microRNA (miRNA) genes or the 3'UTR of miRNA target genes could influence miRNA-mediated regulation of gene expression and thus contribute to the susceptibility and prognosis of human diseases. This study aimed to investigate the effect of 6 miRNA-related polymorphisms (miR-149 rs71428439, miR-146a rs2910164, miR-499 rs3746444, miR-423 rs6505162, miR-4513 rs2168518, and FABP2 rs11724758) on prognosis in 1004 patients with angiographic coronary artery disease (CAD). We found that miR-4513 rs2168518 was associated with blood pressure, triglycerides, total cholesterol, and fasting glucose levels, and risk of diabetes mellitus. miR-499 rs3746444 and miR-423 rs6505162 were associated with blood pressure and HDL levels, respectively. Both miR-4513 rs2168518 and miR-499 rs3746444 had significant impact on even-free survival. Furthermore, miR-4513 rs2168518 was associated with higher morality in CAD patients. In conclusion, miR-4513 rs2168518 and miR-499 rs3746444 might be potential biomarkers for the clinical prognosis of CAD.
Insights
Genetic variants in microRNAs (miRNAs) impact coronary artery disease (CAD) prognosis. Specific polymorphisms, miR-4513 rs2168518 and miR-499 rs3746444, are linked to patient survival and mortality risk.
Area of Science:
- Genetics
- Cardiovascular Disease
- Molecular Biology
Background:
- Genetic variations in microRNA (miRNA) genes and their targets can affect gene expression and disease outcomes.
- MicroRNAs play a crucial role in regulating cellular processes and are implicated in various human diseases.
Purpose of the Study:
- To investigate the association between six miRNA-related polymorphisms and the clinical prognosis of coronary artery disease (CAD).
- To identify potential miRNA biomarkers for predicting CAD outcomes.
Main Methods:
- Genotyping of six miRNA polymorphisms (miR-149 rs71428439, miR-146a rs2910164, miR-499 rs3746444, miR-423 rs6505162, miR-4513 rs2168518, and FABP2 rs11724758) in 1004 angiographic CAD patients.
- Statistical analysis to correlate genotypes with clinical parameters and patient survival.
Main Results:
- miR-4513 rs2168518 was associated with blood pressure, lipid profiles, glucose levels, and diabetes risk.
- miR-499 rs3746444 and miR-423 rs6505162 showed associations with blood pressure and HDL levels, respectively.
- Both miR-4513 rs2168518 and miR-499 rs3746444 significantly impacted event-free survival, with miR-4513 rs2168518 linked to increased mortality in CAD patients.
Conclusions:
- miR-4513 rs2168518 and miR-499 rs3746444 may serve as valuable biomarkers for predicting the clinical prognosis of coronary artery disease.
- These genetic variants could influence disease progression and patient outcomes in CAD.
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