Correlation between immunological-inflammatory markers and endothelial disfunction in the early stage of coronary heart disease

Med Hypotheses. 2018 Jun:115:72-76. doi: 10.1016/j.mehy.2018.04.001. Epub 2018 Apr 10.

Abstract

Classical risk factors for endothelial dysfunction (ED), such as age, gender, total cholesterol, high-density lipoprotein cholesterol, systolic blood pressure, and smoking history are utilised for the Framingham score and Systemic Coronary Risk Estimation (SCORE) for evaluation of the 10-year cardiovascular risk in routine practice. Nonetheless, pro-inflammatory mediators are deeply involved in the initiation and the progression of ED and coronary artery disease (CAD), and act additionally or independently of metabolic factors before clinical manifestations of the disease appear. C-reactive protein, a marker of intimal thickening of the myeloid-related protein 8/14 heterodimer, monocyte chemotactic protein 1, interleukin-15, the cytotoxic mediator, granulysin, and the matrix metalloproteinase 9 could be valuable, single, fast, and non-invasive laboratory tools for ED deterioration degree assessment. We propose to investigate the impact of pro-inflammatory biomarkers on ED, measured by previously established clinical methods in patients with yet undiagnosed CAD and at medium risk for an acute coronary event. It could be useful to measure and correlate the concentration of particular inflammatory markers in peripheral blood samples and the results of the Framingham and SCORE charts, multi-slice computed tomography coronary angiography, echocardiography, brachial artery flow-mediated dilatation, carotid-femoral pulse wave velocity, ankle-brachial index, carotid wall thickening, myocardial perfusion scintigraphy, and particularly, cardiac magnetic resonance imaging. The goal would be that the degree of correlation between particular inflammatory markers and the results of some methods for the assessment of ED or cardiac ischaemic imaging could be emphasised and pro-inflammatory markers positioned in the pathogenetic algorithm of CAD.

Keywords: Agatston score; Coronary artery disease; Framingham score; Granulysin; Interleukin-15; MSCT coronary angiography; SCORE.

MeSH terms

  • Biomarkers / blood
  • C-Reactive Protein / metabolism
  • Chemokine CCL2 / blood
  • Coronary Artery Disease / blood*
  • Coronary Artery Disease / etiology
  • Coronary Artery Disease / physiopathology*
  • Endothelium, Vascular / physiopathology
  • Humans
  • Inflammation Mediators / blood
  • Interleukin-15 / blood
  • Interleukin-6 / blood
  • Killer Cells, Natural / immunology
  • Models, Cardiovascular
  • Risk Factors
  • T-Lymphocytes / immunology

Substances

  • Biomarkers
  • CCL2 protein, human
  • Chemokine CCL2
  • IL15 protein, human
  • IL6 protein, human
  • Inflammation Mediators
  • Interleukin-15
  • Interleukin-6
  • C-Reactive Protein