AI Article Synopsis

  • The study explores the role of inflammatory cytokines and receptors—specifically TRAIL, IL-18, and OPG—in predicting atherosclerotic coronary artery disease (CAD), especially when traditional risk factors are absent.
  • It involved analyzing serum biomarker levels from 993 participants to see how these markers correlated with the severity of CAD as determined by CT scans.
  • Although some associations were found between these inflammatory markers and CAD scores, they did not remain significant when adjusted for other risk factors like age, sex, and family history, indicating they may not be reliable standalone predictors of CAD.

Article 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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11430378PMC
http://dx.doi.org/10.3390/biom14091119DOI Listing

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Article Synopsis
  • The study explores the role of inflammatory cytokines and receptors—specifically TRAIL, IL-18, and OPG—in predicting atherosclerotic coronary artery disease (CAD), especially when traditional risk factors are absent.
  • It involved analyzing serum biomarker levels from 993 participants to see how these markers correlated with the severity of CAD as determined by CT scans.
  • Although some associations were found between these inflammatory markers and CAD scores, they did not remain significant when adjusted for other risk factors like age, sex, and family history, indicating they may not be reliable standalone predictors of CAD.
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