Unraveling the proteomic signatures of coronary artery disease and hypercholesterolemia

Abstract

Atherosclerosis, a leading cause of coronary artery disease (CAD), is heavily influenced by hypercholesterolemia (HC). Proteomics research has shown promise in identifying biological markers for CAD diagnosis and prognosis. This cross-sectional study aimed to identify novel biomarkers for detecting HC and CAD. Through the analysis of proteome data from healthy controls (n=45) and patients diagnosed with HC (n=51) or CAD (n=32), distinct protein patterns associated with each condition were identified. Significant alterations in protein levels were identified with a false discovery rate (FDR)-corrected q-value of <0.05. Subsequent receiver operating characteristic (ROC) analysis, with an area under the curve (AUC) greater than 0.75, was conducted. CAD patients exhibited significantly increased levels of the cholesterol-metabolizing protein PCSK9 and varied levels of the angiogenesis-related protein SDF-1 compared to controls. In pairwise comparisons among the study groups, 65 proteins showed significant differential expression. Notably, 14 of these proteins had significant correlations with blood cholesterol levels. Additionally, 22 of the identified proteins were associated with CAD or HC pathways, with nine proteins being common to both conditions (Apo E, Apo E3, MMP-3, PCSK9, SDF-1, Apo B, PAFAH, HSP 60, and TAK1-TAB1). Nevertheless, this is an exploratory study, and validation studies are needed to confirm these potential protein biomarkers for CAD in the context of HC.

Keywords

• Proteomics
• coronary artery disease
• hypercholesterolemia
• biomarkers
• atherosclerosis