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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Inflammatory biomarkers in coronary artery disease
Epaminondas Zakynthinos1, Nikolitsa Pappa
1Critical Care Department, School of Medicine, University Hospital of Thessaly, Larissa, Greece. ezakynth@yahoo.com
Insights
Inflammation drives coronary artery disease (CAD) progression. High-sensitivity C-reactive protein (hs-CRP) and other inflammatory biomarkers predict cardiovascular risk, potentially guiding preventive therapies.
Area of Science:
- Cardiovascular Medicine
- Inflammation Biology
- Biomarker Discovery
Background:
- Inflammation is a key factor in coronary plaque development, instability, and rupture, impacting patient outcomes.
- Biomarkers, measurable in blood, offer diagnostic and prognostic insights into disease states.
- Elevated inflammatory biomarkers are linked to increased cardiovascular morbidity and mortality.
Purpose of the Study:
- To review the role of inflammatory biomarkers in coronary artery disease (CAD).
- To assess the predictive value of C-reactive protein (CRP) and other inflammatory markers for CAD risk and severity.
- To explore the potential of biomarkers in guiding preventive cardiovascular therapies.
Main Methods:
- Review of current scientific evidence and epidemiological data.
- Analysis of studies investigating C-reactive protein (CRP) using high-sensitivity (hs) assays.
- Examination of research on emerging inflammatory biomarkers including cytokines, chemokines, and adhesion molecules.
Main Results:
- High-sensitivity C-reactive protein (hs-CRP) is a validated predictor of cardiovascular events, independent of traditional risk factors.
- Numerous other inflammatory biomarkers, such as interleukins, MCP-1, SAA, selectins, MPO, MMPs, ICAM-1, VCAM-1, and PlGF, show potential in predicting CAD risk and severity.
- Inflammation-associated risk may be modifiable by specific therapies, with biomarkers potentially identifying individuals who benefit most.
Conclusions:
- Inflammation plays a critical role in the pathogenesis and progression of coronary artery disease.
- hs-CRP is a significant prognostic biomarker for cardiovascular events.
- Emerging inflammatory biomarkers warrant further investigation for their clinical utility in risk stratification and personalized prevention strategies for CAD.
Abstract:
Current evidence supports that inflammation is a major driving force underlying the initiation of coronary plaques, their unstable progression, and eventual disruption; patients with a more pronounced vascular inflammatory response have a poorer outcome. Biomarkers are generally considered to be proteins or enzymes - measured in serum, plasma, or blood - that provide independent diagnostic and prognostic value by reflecting an underlying disease state. In the case of coronary artery disease (CAD), inflammatory biomarkers, have been extensively investigated; more evidence exists for C-reactive protein (CRP). Using high sensitivity (hs) assays, epidemiologic data demonstrate an association between hs-CRP and risk for future cardiovascular morbidity and mortality among those at high risk or with documented CAD. Moreover, a series of prospective studies provide consistent data documenting that mild elevation of baseline levels of hs-CRP among apparently healthy individuals is associated with higher long-term risk for cardiovascular events. Yet, the predictive value of hs-CRP is found to be independent of traditional cardiovascular risk factors. Recent studies suggest that, besides CRP, other inflammatory biomarkers such as cytokines [interleukin (IL)-1, IL-6, IL-8, monocyte chemoattractant protein-1 (MCP-1)], soluble CD40 ligand, serum amyloid A (SAA), selectins (E-selectin, P-selectin), myeloperoxidase (MPO), matrix metalloproteinases (MMPs), cellular adhesion molecules [intercellular adhesion molecule 1 (ICAM-1), vascular adhesion molecule 1 (VCAM-1)], placental growth factor (PlGF) and A(2) phospholipases may have a potential role for the prediction of risk for developing CAD and may correlate with severity of CAD. Finally, indications suggest that the increased risk associated with inflammation may be modified with certain preventive therapies and biomarkers may help to identify the individuals who would benefit most from these interventions.
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