Cholesterol Uptake Capacity: A New Measure of HDL Functionality for Coronary Risk Assessment

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Abstract

Background: Recent studies have shown that the cholesterol efflux capacity of HDL is a better predictor of cardiovascular disease (CVD) than HDL cholesterol. However, the standard procedures used for measuring cholesterol efflux capacity involve radioisotope-labeled cholesterol and cultured macrophages. Thus, a simpler method to measure HDL functionality is needed for clinical application. Methods: We established a cell-free assay system to evaluate the capacity of HDL to accept additional cholesterol, which we named cholesterol "uptake capacity,"using fluorescently labeled cholesterol and an anti-apolipoprotein A1 antibody. We quantified cholesterol uptake capacity of apolipoprotein B (apoB)-depleted serum samples from patients with coronary artery disease who had previously undergone revascularization. Results: This assay system exhibited high reproducibility (CV <10%) and a short processing time (<6 h). The myeloperoxidase-mediated oxidation of apoB-depleted serum impaired cholesterol uptake capacity. Cholesterol uptake capacity correlated significantly with cholesterol efflux capacity (r 2 = 0.47, n = 30). Furthermore, cholesterol uptake capacity correlated inversely with the requirement for revascularization because of recurrence of coronary lesions in patients with optimal control of LDL cholesterol (P < 0.01, n = 156). A multivariate analysis adjusted for traditional coronary risk factors showed that only cholesterol uptake capacity remained significant (odds ratio, 0.48; 95% CI, 0.29-0.80; P = 0.0048). Conclusions: Cholesterol uptake capacity assay evaluates the functionality of HDL in a sensitive and high-throughput manner without using radioisotope label and cells. This assay system could be used for the assessment of CVD risk in the clinical settings.

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Harada, A., Toh, R., Murakami, K., Kiriyama, M., Yoshikawa, K., Miwa, K., … Hirata, K. I. (2017). Cholesterol Uptake Capacity: A New Measure of HDL Functionality for Coronary Risk Assessment. Journal of Applied Laboratory Medicine, 2(2), 186–200. https://doi.org/10.1373/jalm.2016.022913

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