Key result
Multiplexed 9-miRNA sensor accurately differentiates NCAD, stable CAD, STEMI, and post-PCI states.
Why the study?
miRNA-based acute myocardial infarction diagnosis can cause false positives from miRNA overlap with stable coronary artery disease, prompting evaluation of a multi-miRNA profile to distinguish CAD, AMI, and post-onset stages.
Does a 9-miRNA biomarker profile accurately distinguish between stable CAD, STEMI, and STEMI-PCI compared to single miRNAs or cTn?
Observational (n=24)
No
Does a 9-miRNA biomarker profile accurately distinguish between stable CAD, STEMI, and STEMI-PCI compared to single miRNAs or cTn?
A novel 9-miRNA profile identified via machine learning and measured using an ion-exchange membrane sensor may enable rapid and accurate diagnosis of AMI and its stages.
cTn regardless of timing of AMI onset. However, miRNA-based AMI diagnosis can result in false positives due to miRNA content overlap between AMI and stable coronary artery disease (CAD). Accordingly, we explored the possibility of using a miRNA profile, rather than a single miRNA, to distinguish between CAD and AMI, as well as different stages following AMI onset. First we screened a library of 800 miRNA using plasma samples from 4 patient cohorts; no known CAD, CAD, ST-segment elevation myocardial infarction (STEMI) and STEMI followed by PCI, using Nanostring miRNA profiling technology. From this screening, based on machine learning SCAD and Lasso algorithms, we identified 9 biomarkers (miR-200b, miR-543, miR-331, miR-3605, miR-301a, miR-18a, miR-423, miR-142, and miR-132) that were differentially expressed in CAD, STEMI and STEMI-PCI and explored them to identify a miRNA profile for rapid and accurate AMI diagnosis. These 9 miRNAs were selected as the most frequently identified targets by SCAD and Lasso, as indicated in the "drum-plot" model in the machine learning approach. We used age-matched patient samples to validate selected 9 miRNA biomarkers using a multiplexed ion-exchange membrane-based miRNA sensor platform, which measures specific miRNAs, and cTn as a control, simultaneously as a point-of-care device. Findings from this study will inform timely and accurate diagnosis of AMI and its stages, which are essential for effective management and optimal patient outcomes.
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Ren et al. (2024) conducted an observational in Acute myocardial infarction and coronary artery disease (n=24). 9-miRNA profile measured by MIX.miR sensor vs. No CAD controls and standard cardiac troponin T was evaluated on Differentiation of NCAD, CAD, STEMI-pre, and STEMI-PCI using miRNA profiles. A 9-miRNA profile measured via a multiplexed ion-exchange membrane sensor accurately differentiated between patients with no coronary artery disease, stable disease, acute myocardial infarction, and post-intervention status.
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