Proteomics Data of CAD and HC

Atherosclerosis, leading to coronary artery disease (CAD), is strongly influenced by hypercholesterolemia (HC). Proteomics research has shown promise in identifying biological markers for CAD diagnosis and prognosis. This cross-sectional study aimed to discover innovative biomarkers for detecting HC and CAD. Analyzing proteome data from healthy controls (n=45), and from patients diagnosed with HC (n=51) or CAD (n=32), we identified distinct protein patterns associated with each condition. CAD patients showed a significant increase in the cholesterol-metabolizing protein PCSK9 and varying levels of the angiogenesis-related protein SDF-1. Several other proteins (LRP1B, VAV, CSRP3, HSP 60, and TAK1-TAB1) also exhibited unique expressions in disease groups, suggesting potential roles in atherosclerosis development. Moreover, a statistically significant correlation between SDF-1, ApoB levels, and LDL levels was found in CAD patients but not in healthy controls. Nevertheless, this is an exploratory study and validation studies are needed to confirm these potential protein biomarkers for CAD in the context of HC.