Vascular Cytokines and Atherosclerosis: Differential Serum Levels of TRAIL, IL-18, and OPG in Obstructive Coronary Artery Disease

Author:

Bate Katharine A.12ORCID,Genetzakis Elijah1,Vescovi Joshua134ORCID,Gray Michael P.1ORCID,Celermajer David S.567,McGuire Helen M.58ORCID,Grieve Stuart M.910ORCID,Vernon Stephen T.12,Cartland Siân P.6ORCID,Yang Jean Y.3411,Kavurma Mary M.6ORCID,Figtree Gemma A.125

Affiliation:

1. Cardiovascular Discovery Group, Kolling Institute of Medical Research, St Leonards, NSW 2065, Australia

2. Department of Cardiology, Royal North Shore Hospital, St Leonards, NSW 2065, Australia

3. Sydney Precision Data Science Centre, University of Sydney, Camperdown, NSW 2006, Australia

4. School of Mathematics and Statistics, The University of Sydney, Camperdown, NSW 2006, Australia

5. School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia

6. Heart Research Institute, The University of Sydney, Newtown, NSW 2042, Australia

7. Department of Cardiology, Royal Price Alfred Hospital, Camperdown, NSW 2050, Australia

8. Ramaciotti Facility for Human Systems Biology, University of Sydney, Camperdown, NSW 2006, Australia

9. Imaging and Phenotyping Laboratory, Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia

10. Department of Radiology, Royal Prince Alfred Hospital, Camperdown, NSW 2006, Australia

11. The Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia

Abstract

The risk-factor-based prediction of atherosclerotic coronary artery disease (CAD) remains suboptimal, particularly in the absence of any of the standard modifiable cardiovascular risk factors (SMuRFs), making the discovery of biomarkers that correlate with atherosclerosis burden critically important. We hypothesized that cytokines and receptors associated with inflammation in CAD—tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), interleukin-18 (IL-18), and osteoprotegerin (OPG)—would be independently associated with CAD. To determine this, we measured the serum biomarker levels of 993 participants from the BioHEART study who had CT coronary angiograms that were scored for severity of stenosis and plaque composition. We found that the quartiles of TRAIL, OPG, and IL-18 were significantly associated with disease scores, and that the IL-18/TRAIL and OPG/TRAIL ratios demonstrated significant differences between no CAD vs. STEMI whereas only the OPG/TRAIL ratio showed differences between no CAD and obstructive CAD (stenosis > 50%). However, these associations did not persist after adjustment for age, sex, SMuRFs, and a family history of CAD. In conclusion, TRAIL, IL-18, and OPG and the derived ratios of IL-18/TRAIL and OPG/TRAIL demonstrate significant associations with raw disease scores and risk factors, but these markers are not discriminatory biomarkers for the prediction of CAD when incorporated into multi-variable risk models.

Funder

Australian Commonwealth Government Research Training Program Stipend Scholarship

University of Sydney Postgraduate Research Scholarship

Medical Research Council

Parker-Hughes Bequest

New South Wales Office of Health and Medical Research

Frecker Family

NHMRC Practitioner Fellowship

Ramsay Teaching and Research Foundation

BioPlatforms Australia

Vonwiller Foundation

Publisher

MDPI AG

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