Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans

Ele Ferrannini1, Maria Laura Manca2, Giulia Ferrannini3

  • 1Consiglio Nazionale Delle Ricerche (CNR) Institute of Clinical Physiology, Pisa, Italy.

Insights

Proteomics reveals four key proteins associated with coronary artery disease (CAD) risk and progression. These biomarkers offer new insights into cardiovascular disease mechanisms beyond traditional risk factors.

Area of Science:

  • Cardiovascular disease research
  • Proteomics
  • Atherosclerosis mechanisms

Background:

  • Atypical phenotypes in cardiovascular disease (CVD) may hold keys to understanding disease mechanisms.
  • Investigating the plasma proteome can uncover novel pathways in CVD development.

Purpose of the Study:

  • To prospectively screen the plasma proteome in individuals with varying coronary artery disease (CAD) status and cardiovascular risk factor loads.
  • To identify specific proteins associated with CAD and risk factors, providing functional context for atherothrombosis.
  • To evaluate a protein panel for discriminating between distinct patient groups.

Main Methods:

  • The CAPIRE study enrolled 544 individuals aged 45-75 undergoing computed tomography angiography for suspected CAD.
  • Aptamer technology quantified approximately 5000 plasma proteins, analyzed using partial least squares and multivariate regression.
  • Individuals were categorized into four groups based on CAD presence (CAD+, CAD-) and risk factor count (RF+, RF-).

Main Results:

  • 39% of participants exhibited atypical phenotypes (CAD+/RF- or CAD-/RF+).
  • Specific proteins like MYO and C-C-22 were associated with CAD-/RF+, while PS-3 and PAF-AH were linked to CAD+/RF-.
  • A 12-protein panel demonstrated significant discriminatory power (AUC 0.72-0.81) for the four groups, with proteins like IGFBP-3 and renin showing independent associations with risk factors.

Conclusions:

  • Four proteins, implicated in vascular healing and remodeling, are specifically linked to CAD burden in individuals with high or low cardiovascular risk.
  • These protein associations interact with traditional risk factors (BMI, smoking, diabetes, lipids, HbA1c).
  • The findings enhance understanding of atherosclerosis beyond conventional risk assessment and suggest potential therapeutic targets.
Abstract

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