Related Experiment Video
Updated: Aug 6, 2026
Isolation and Differentiation of Stromal Vascular Cells to Beige/Brite Cells
Published on: March 28, 2013
Soluble CXCL16 and risk of myocardial infarction: The HUNT study in Norway
Lars E Laugsand1, Bjørn O Åsvold2, Lars J Vatten3
1Department of Public Health, Faculty of Medicine, Norwegian University of Science and Technology, N- 7491 Trondheim, Norway; Department of Cardiology, St.Olavs Hospital, Trondheim, Norway.
Insights
Elevated soluble CXCL16 levels are linked to an increased risk of myocardial infarction (MI) in healthy individuals. This finding suggests CXCL16 may aid in cardiovascular disease risk assessment.
Area of Science:
- Cardiovascular Research
- Biomarker Discovery
- Immunology
Background:
- CXCL16 is an interferon-γ-regulated chemokine and scavenger receptor implicated in atherosclerosis.
- High soluble CXCL16 levels correlate with poor prognosis after cardiovascular events.
- The association between CXCL16 and the risk of developing cardiovascular disease in healthy populations remains unclear.
Purpose of the Study:
- To investigate the association between soluble CXCL16 and the risk of myocardial infarction (MI) in a healthy population.
- To assess the predictive value of CXCL16 for incident cardiovascular events.
Main Methods:
- A nested case-control study was conducted within the population-based HUNT2 cohort in Norway.
- Follow-up duration was 11.3 years, registering 1587 incident MIs among 58,761 disease-free participants.
- Cases (MI patients) were compared to 3959 age- and sex-matched controls.
Main Results:
- Median CXCL16 concentration was slightly higher in MI cases (9.9 ng/ml) than controls (9.6 ng/ml).
- Participants in the highest CXCL16 quartile had double the MI risk (OR, 2.08) compared to the lowest quartile.
- After multivariable adjustment, the excess risk was attenuated but remained significant (OR, 1.46).
Conclusions:
- Soluble CXCL16 may offer novel insights for clinical cardiovascular risk assessment.
- Further validation in diverse prospective population studies is necessary to confirm its clinical utility.
Background And Aims:
CXCL16 is an interferon-γ-regulated chemokine and scavenger receptor for oxidized low-density lipoprotein that is expressed in atherosclerotic lesions. High soluble CXCL16 levels during acute cardiovascular events may indicate impaired long-term prognosis, but it is not known if CXCL16 is associated with the risk of developing cardiovascular disease in healthy individuals. We aimed to assess whether soluble CXCL16 is associated with risk of myocardial infarction (MI) in a nested case-control study within a large population-based cohort.
Methods:
We conducted a case-control study nested within the population-based HUNT2 cohort in Norway. A total of 58,761 men and women free of known cardiovascular disease were followed for a first myocardial infarction (MI), and during 11.3 years of follow-up, 1587 incident MIs were registered. These cases were compared to 3959 age- and sex-matched controls.
Results:
Among MI cases, the median CXCL16 concentration was 9.9 ng/ml (interquartile range 7.2-12.6) compared to 9.6 ng/ml (interquartile range 6.9-12.3) among controls (p < 0.001). Although the difference in median value between cases and controls was small, MI risk was twice as high (OR, 2.08; 95% CI: 1.74-2.50) among participants in the highest quartile compared to participants in the lowest quartile of CXCL16 after adjustment for age and sex. Additional adjustment for serum lipids, body mass index, smoking habits, diabetes mellitus, serum creatinine, and high-sensitivity C-reactive protein attenuated the excess risk by about half, yielding an odds ratio of 1.46 (95% CI: 1.19-1.79).
Conclusion:
Soluble CXCL16 may provide novel information in clinical cardiovascular risk assessment, but its importance needs to be verified in other prospective population studies.
More Related Videos
08:04Measuring Mitochondrial Electron Transfer Complexes in Previously Frozen Cardiac Tissue from the Offspring of Sow: A Model to Assess Exercise-Induced Mitochondrial Bioenergetics Changes
Published on: August 16, 2021
12:06Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
Published on: March 3, 2023
