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Updated: Jan 3, 2026

Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease
Published on: July 3, 2018
Expression profiling and bioinformatics analysis of circulating microRNAs in patients with acute myocardial
Zhixiong Zhong1,2,3,4,5, Heming Wu2,3,4,5,6, Wei Zhong1,2,3,4,5
1Center for Cardiovascular Diseases, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou Hospital Affiliated to Sun Yat-sen University, Meizhou, China.
Objective:
Acute Myocardial Infarction (AMI) is the most severe type of coronary atherosclerotic heart diseases. MiRNA is a class of endogenous noncoding small molecule RNA, which plays an important regulatory role in the development of some diseases.
Methods:
We examined the miRNA expression profiles in 16 patients with AMI compared with 6 non-AMI controls using RNA sequencing.
Results:
Compared with the miRNA expression profiles of non-AMI controls, a total of 181 differentially expressed miRNAs were discriminated in AMI patients, of which 96 upregulated miRNAs and 85 downregulated miRNAs. The top ten upregulated miRNAs were as follows: miR-449a-5p, miR-126-5p, miR-93-5p, miR-199a-3p, miR-4454, miR-6880-3p, miR-3135a, miR-548ad-5p, miR-4508, and miR-556-5p; while the top ten downregulated were as follows: miR-6805-5p, miR-1228-5p, miR-939-5p, miR-615-3p, miR-6780a-5p, miR-6857-3p, miR-5088-55p, miR-7155-3p, miR-184, and miR-4525. And the qRT-PCR results of differentially expressed miRNAs showed the same result as high-throughput sequencing data. For these 181 differentially expressed miRNAs, 19 841 target genes were predicted by GO analysis. The enrichment analysis revealed 2061 involved in biological processes, 353 in molecular function and 303 in cellular components. To identify biological pathways in AMI as compared to non-AMI, the target genes of differentially expressed miRNAs were mapped to the classical signal transduction pathway in KEGG, indicating that 214 classes were enriched. ROC analysis showed that the circulating miRNAs had the important value for AMI diagnosis and supported the previous conclusions that circulating miRNAs were effective to diagnose the AMI as a novel biomarker.
Conclusions:
Our findings require further research to confirm. It may provide a meaningful reference for the diagnosis and treatment of AMI.
Insights
Researchers identified 181 differentially expressed microRNAs (miRNAs) in patients with Acute Myocardial Infarction (AMI). These circulating miRNAs show potential as novel biomarkers for diagnosing AMI, warranting further investigation for clinical application.
Area of Science:
- Cardiovascular Medicine
- Molecular Biology
- Genomics
Background:
- Acute Myocardial Infarction (AMI) is a severe manifestation of coronary atherosclerotic heart disease.
- MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression and are implicated in various diseases.
Purpose of the Study:
- To investigate miRNA expression profiles in patients with AMI.
- To identify potential circulating miRNA biomarkers for AMI diagnosis.
Main Methods:
- RNA sequencing was used to compare miRNA expression in 16 AMI patients and 6 non-AMI controls.
- Differentially expressed miRNAs were identified, and their target genes were predicted using Gene Ontology (GO) analysis.
- KEGG pathway analysis and Receiver Operating Characteristic (ROC) curve analysis were performed.
Main Results:
- A total of 181 differentially expressed miRNAs were identified in AMI patients, with 96 upregulated and 85 downregulated.
- GO analysis predicted 19,841 target genes, enriched in various biological processes, molecular functions, and cellular components.
- KEGG pathway analysis revealed enrichment in 214 signaling pathways, and ROC analysis indicated the diagnostic value of circulating miRNAs for AMI.
Conclusions:
- Circulating miRNAs are differentially expressed in AMI and hold significant potential as novel diagnostic biomarkers.
- Further research is required to validate these findings for clinical application in AMI diagnosis and treatment.
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