Serum HDL cholesterol uptake capacity in subjects from the MASHAD cohort study: Its value in determining the risk of cardiovascular endpoints. Issue 6 (24th May 2021)

• Record Type: Journal Article
• Authors: Aghasizadeh, Malihe; Samadi, Sara; Sahebkar, Amirhossein; Miri‐Moghaddam, Ebrahim; Esmaily, Habibollah; Souktanloo, Mohamad; Avan, Amir; Mansoori, Amin; Ferns, Gordon A.; Kazemi, Tooba; Ghayour‐Mobarhan, Majid
• Is Part Of: Journal of clinical laboratory analysis. Volume 35:Issue 6(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-05-24
• Subjects: cardiovascular disease (CVD) -- cholesterol uptake capacity (CUC) -- cohort study -- HDL function; Diagnosis, Laboratory -- Periodicals; Medical laboratory technology -- Periodicals; 616
• DOI: 10.1002/jcla.23770
• Languages: English
• ISSNs: 0887-8013

Abstract

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. Abstract : 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. ​