Biomarker Identification of Myocardial Infarction Subtypes
Accurate diagnosis of suspected myocardial infarction (MI) is essential for timely and appropriate treatment. A key clinical challenge is distinguishing type 1 MI from type 2 MI, a distinction that is often difficult in routine practice. As a result, some patients may undergo unnecessary invasive procedures, while others may not receive the most suitable management strategy.
In this project, we analyze cardiovascular transcriptomic data to investigate molecular signatures associated with different MI subtypes within a nested case–control study. By comparing patients with type 1 MI, type 2 MI and non‑MI controls, we aim to identify biological pathways and transcriptomic patterns that deepen our understanding of subtype‑specific disease mechanisms. Our work focuses on discovering novel biomarkers that could support the differentiation between type 1 and type 2 MI in acute care settings, ultimately contributing to more precise and objective diagnostic strategies for MI patients.