Circulating CXCL16 is related to the severity of coronary artery stenosis

Gui-Wen Yi1, Qiu-Tang Zeng

  • 1Institute of Cardiology, Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, PR China.

Insights

Plasma levels of chemokine CXCL16 are elevated in acute coronary syndrome patients and correlate with coronary artery stenosis severity. CXCL16 shows potential as a biomarker for coronary artery disease (CAD).

Area of Science:

  • Cardiovascular Research
  • Immunology
  • Biomarker Discovery

Background:

  • The chemokine CXCL16 is implicated in atherosclerosis and coronary artery disease (CAD).
  • The precise role of CXCL16 in atherosclerosis pathogenesis requires further elucidation.
  • This study investigates the association between CXCL16 levels and the extent of coronary artery stenosis.

Purpose of the Study:

  • To determine the relationship between plasma CXCL16 concentrations and the severity of coronary artery stenosis in patients.
  • To evaluate CXCL16 as a potential biomarker for CAD.

Main Methods:

  • Plasma CXCL16 levels were measured using ELISA in 16 stable angina pectoris (SAP) patients, 53 acute coronary syndrome (ACS) patients, and 19 controls.
  • Patients underwent coronary angiography and were stratified into quartiles based on CXCL16 levels.
  • Correlations between CXCL16 levels, clinical characteristics, and Gensini scores were analyzed.

Main Results:

  • CXCL16 levels were significantly higher in ACS patients compared to controls and SAP patients (p <0.01 and p <0.05, respectively).
  • Gensini scores progressively increased across CXCL16 quartiles, with the highest quartile showing significantly greater stenosis than the lowest (p <0.001).
  • CXCL16 levels demonstrated a significant positive correlation with Gensini scores (r = 0.519, p <0.001).

Conclusions:

  • Plasma CXCL16 levels are positively associated with the severity of coronary artery stenosis.
  • CXCL16 activity in human plasma may serve as a valuable biomarker for epidemiological and clinical applications in CAD.
Abstract

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