Publications

Towards real-time myocardial infarction diagnosis: a convergence of machine learning and ion-exchange membrane technologies leveraging miRNA signatures

Abstract

Rapid diagnosis of acute myocardial infarction (AMI) is crucial for optimal patient management. Accurate diagnosis and time of onset of an acute event can influence treatment plans, such as percutaneous coronary intervention (PCI). PCI is most beneficial within 3 hours of AMI onset. MicroRNAs (miRNAs) are promising biomarkers, with potential of early AMI diagnosis, since they are released before cell death and subsequent release of larger molecules [e.g., cardiac troponins (cTn)], and have greater sensitivity and stability in plasma versus 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 …

Date
2024
Authors
Xiang Ren, Ruyu Zhou, George Ronan, S Gulberk Ozcebe, Jiaying Ji, Satyajyoti Senapati, Keith L March, Eileen Handberg, David Anderson, Carl J Pepine, Hsueh-Chia Chang, Fang Liu, Pinar Zorlutuna
Journal
Lab on a Chip
Volume
24
Issue
23
Pages
5203-5214
Publisher
Royal Society of Chemistry