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Updated: Sep 12, 2025

Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease
Published on: July 3, 2018
Circulating microRNA-1 as a diagnostic biomarker for acute myocardial infarction: a meta-analysis
Guangmei Li1, Jiaye Zhao1, Zeyu Zhou1
1Affiliated Hospital of Chengde Medical University, Chengde, China.
Background:
The aim of this study was to evaluate the diagnostic performance of microRNA-1 in the diagnosis of acute myocardial infarction (AMI).
Methods:
PubMed, Embase, Cochrane, Web of science and CNKI databases were searched by computer to collect English literature evaluating the diagnostic value of microRNA-1 in AMI patients. The retrieval period is from the establishment of the database to September 2023. Two researchers independently screened the literature according to inclusion and exclusion criteria, extracted data, and evaluated the risk of bias in the included studies using QUADAS-2 tools. Stata15.0 software was used for meta-analysis. The combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the summary receiver operator characteristic (SROC) curve were calculated.
Results:
This study included 11 pieces of literature, which included 894 patients with AMI and600 controls. The main results of meta-analysis were as follows: The pooled sensitivity and specificityof microRNA-1 for the diagnosis of AMI were 78% (95% CI: 0.69-0.85) and 85% (95% CI: 0.76-0.91), respectively, the positive likelihood ratio was 5.1 (95%CI: 3.0-8.6), the negative likelihood ratio was 0.26 (95% CI: 0.17-0.38), the diagnostic odds ratio was 20 (95% CI: 9-47), and the area under the SROC curve (AUC) was 88% (95% CI: 0.85-0.91).
Conclusions:
Plasma microRNA-1 has high sensitivity and specificity for early AMI, and has certain diagnostic value, which can help distinguish AMI from patients with other systemic diseases, and can be combined with other biomarkers to diagnose AMI.
Insights
Plasma microRNA-1 shows high sensitivity and specificity for diagnosing acute myocardial infarction (AMI). This biomarker aids in distinguishing AMI from other conditions, offering valuable diagnostic potential.
Area of Science:
- Biomarker discovery
- Cardiovascular diagnostics
- Molecular diagnostics
Background:
- Acute myocardial infarction (AMI) diagnosis relies on timely and accurate methods.
- MicroRNA-1 (miRNA-1) has emerged as a potential biomarker for cardiac injury.
- Evaluating miRNA-1's diagnostic performance in AMI is crucial.
Purpose of the Study:
- To assess the diagnostic accuracy of microRNA-1 for acute myocardial infarction (AMI).
- To determine the sensitivity, specificity, and overall diagnostic utility of miRNA-1 in AMI detection.
Main Methods:
- A systematic literature search was conducted across major databases (PubMed, Embase, Cochrane, Web of Science, CNKI) up to September 2023.
- Meta-analysis was performed on 11 studies involving 894 AMI patients and 600 controls.
- Diagnostic performance metrics including sensitivity, specificity, and AUC were calculated using Stata15.0.
Main Results:
- The pooled sensitivity for microRNA-1 in diagnosing AMI was 78% (95% CI: 0.69-0.85).
- The pooled specificity was 85% (95% CI: 0.76-0.91), with an AUC of 88% (95% CI: 0.85-0.91).
- Likelihood ratios and diagnostic odds ratio indicated significant diagnostic value.
Conclusions:
- Plasma microRNA-1 demonstrates high sensitivity and specificity for early AMI diagnosis.
- MicroRNA-1 can assist in differentiating AMI from other systemic diseases.
- Combining microRNA-1 with other biomarkers may enhance AMI diagnostic capabilities.
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