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Published on: October 12, 2017
Serum high-density lipoprotein cholesterol uptake capacity and cardiovascular risk in subjects from the Birjand
Malihe Aghasizadeh1,2, Somaye Ghorbanzadeh3, Amin Mansoori4
1Vascular and Endovascular Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Insights
Serum high-density lipoprotein cholesterol uptake capacity (CUC) was significantly lower in stroke patients. This finding suggests CUC may be a valuable biomarker for cardiovascular disease (CVD) risk assessment, particularly for stroke.
Area of Science:
- Cardiology
- Biochemistry
- Epidemiology
Background:
- High-density lipoprotein (HDL) cholesterol uptake capacity (CUC) is a measure of HDL functionality in reverse cholesterol transport.
- CUC is a novel biomarker suggested to predict cardiovascular disease (CVD) risk.
- The Birjand Longitudinal Aging Study (BLAS) provides a cohort for investigating CUC and CVD associations.
Purpose of the Study:
- To explore the correlation between serum CUC and CVD in participants of the BLAS.
- To assess the relationship between CUC and specific CVD events including coronary artery disease (CAD), acute myocardial infarction (AMI), and stroke.
Main Methods:
- A cohort study design was employed using data from 128 CVD patients and 214 non-CVD individuals from the BLAS.
- Serum HDL CUC was measured using a refined methodology.
- Statistical analyses explored associations between CUC and CVD, CAD, AMI, and stroke.
Main Results:
- Serum HDL CUC was not significantly different between CVD and non-CVD groups, nor between AMI and non-AMI groups, or CAD and non-CAD groups.
- A significant decrease in HDL CUC was observed in the stroke group compared to the non-stroke group (p=0.05).
- A decision tree identified "history of HTN" as the strongest CVD risk predictor, followed by CUC, total cholesterol, LDL-C, and blood pressure.
Conclusions:
- Serum HDL CUC is significantly decreased in stroke patients, suggesting its potential as a CVD risk biomarker.
- Further research is warranted to validate the relationship between CUC and CVD risk across diverse clinical settings.
Background-Aim:
The ability of high-density lipoprotein (HDL) to remove cholesterol (known as cholesterol efflux efficiency) is crucial in the reverse cholesterol transport pathway and depends on the HDL cholesterol uptake capacity (CUC). CUC represents a novel, faster and simpler assessing HDL functionality that has been suggested as a potential predictor of cardiovascular disease (CVD) risk. Our goal was to explore the correlation between serum CUC and CVD in participants from the Birjand longitudinal aging study (BLAS).
Patients-Methods:
This cohort study involved 128 CVD patients (mean age 68.3 ± 6.8 years, 43.0% females) and 214 non-CVD individuals (mean age 69.5 ± 6.8 years, 52.3% females) from the BLAS. A refined CUC methodology was employed to assess serum HDL CUC. The connections between CUC and CVD, coronary artery disease (CAD), acute myocardial infarction (AMI), and stroke risk was explored.
Results:
Serum HDL CUC was non-significantly higher in the non-CVD group compared with CVD patients (1.19 ± 0.58 vs. 1.08 ± 0.42; p = 0.2), non-significantly lower in the non-AMI vs. AMI group (1.11 ± 0.45 vs. 1.16 ± 0.55; p = 0.6) and non-significantly higher in the non-CAD vs. CAD group (1.18 ± 0.58 vs. 1.09 ± 0.42; p = 0.3). Conversely, HDL CUC showed a significant decrease in the stroke vs. non-stroke group (0.09 ± 0.30 vs. 1.17 ± 0.54; p = 0.05; odds ratio 0.31, 95% confidence interval 0.11-0.90; p = 0.03). We determined 1.6 a.u as the optimum cut-off value for CUC using a decision tree (DT). The DT produced five layers of different risk factors contributing to CVD risk, with "history of HTN" being the strongest predictor of CVD risk, followed by CUC, total cholesterol, LDL-C levels, and blood pressure.
Conclusions:
In this investigation, serum HDL CUC was significantly decreased in stroke patients in comparison to the non-stroke group in a sample from the BLAS. Further studies are necessary to assess the relationships between CUC and CVD risk in several clinical settings.
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