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Serum HDL cholesterol uptake capacity in subjects from the MASHAD cohort study: Its value in determining the risk of cardiovascular endpoints
- Source :
- Journal of Clinical Laboratory Analysis
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Background The efficiency of high‐density lipoprotein (HDL) to efflux cholesterol contributes to the reverse cholesterol transport (RCT) pathway as one of HDL’s proposed functions and depends on the ability of HDL to uptake cholesterol. We aimed to investigate cholesterol uptake capacity (CUC) by a newly developed assay in samples from the MASHAD (Mashhad Stroke and Heart Atherosclerotic Disorders) cohort study. Method The study population comprised 153 individuals developed CVD diagnosed by a specialist cardiologist, over 6 years of follow‐up, and 350 subjects without CVD. We used a modified CUC method to evaluate the functionality of HDL in serum samples. Result The CUC assay was highly reproducible with values for inter‐ and intra‐assay variation of 13.07 and 6.65, respectively. The mean serum CUC was significantly lower in the CVD group compared to control (p = 0.01). Although, there were no significant differences in serum HDL‐C between the groups and there was no significantly association with risk of progressive CVD. Multivariate logistic regression analysis showed that there was a significantly negative association between CUC and risk of CVD after adjustment for confounding parameters (OR = 0.57, 95% CI = 0.38–0.87, p = 0.009). The CUC was also inversely and independently associated with the risk of CVD event using Cox proportional hazards models analysis (HR = 0.62; 95% CI = 0.41–0.94, p = 0.02). We determined the optimum cutoff value of 1.7 a.u for CUC in the population. Furthermore, the CUC value was important in determining the CVD risk stratification derived from data mining analysis. Conclusions Reduced HDL functionality, as measured by CUC, appears to predict CVD in population sample from north‐eastern Iran.<br />Mashhad‐Stroke and Heart‐Atherosclerotic‐Disorders (MASHAD) cohort; 530 healthy individuals, over 6 years of follow‐up,350 individuals without CVD, 153 individuals with CVD. A modified CUC method was used to evaluate the HDL functionality of serum samples. The mean value of serum CUC was significantly lower in the group developed CVD compared to healthy individuals (p = 0.01). multivariate logistic regression analysis showed that there was a significantly negative association between CUC and risk of CVD after adjustment for confounding parameters (OR = 0.62, 95% CI = 0.41–0.94, p = 0.02). The CUC was also independently inversely associated with the risk of a CVD event using Cox proportional hazards models analysis (HR, 0.62; 95% CI, 0.41–0.94, p = 0.02). The CUC value was important in assigning the CVD risk stratification derived from data mining analysis. Reduced HDL functionality, as measured by CUC, appears to predict CVD in our population sample from north‐eastern Iran. CEC: Cholesterol Efflux Capacity; CUC: Cholesterol Uptake Capacity.
- Subjects :
- Adult
Male
0301 basic medicine
Microbiology (medical)
medicine.medical_specialty
HDL function
Clinical Biochemistry
Population
Iran
Gastroenterology
Cohort Studies
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Risk Factors
cholesterol uptake capacity (CUC)
Internal medicine
cohort study
medicine
Data Mining
Humans
Immunology and Allergy
education
Research Articles
education.field_of_study
cardiovascular disease (CVD)
business.industry
Cholesterol
Proportional hazards model
Cholesterol, HDL
Biochemistry (medical)
Reverse cholesterol transport
Confounding
Public Health, Environmental and Occupational Health
Hematology
Middle Aged
Medical Laboratory Technology
Logistic Models
030104 developmental biology
chemistry
Cardiovascular Diseases
030220 oncology & carcinogenesis
Population study
Female
business
Research Article
Lipoprotein
Cohort study
Subjects
Details
- ISSN :
- 10982825 and 08878013
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Laboratory Analysis
- Accession number :
- edsair.doi.dedup.....383284dbde2b7d5f62b2aa47f4757927
- Full Text :
- https://doi.org/10.1002/jcla.23770