Decrease cholesterol associated with high-density lipoprotein (HDL-C) plasma levels is one of the risk factors for cardiovascular disease. However, studies showed that statins are effective to increase HDL-C, but does not extend effectiveness in the prevention of coronary events. During the last decades, many researchers study high-density lipoprotein (HDL) physico-chemical parameters and report additional cardioprotector mechanisms that appear to modulate cardiovascular risk, independent of the cholesterol content associated to particle. The aim of this study is to develop an HDL functionality score and to evaluate the association with cardiovascular risk prediction algorithms and clinical outcomes in Brazilian subjects. This is a cross-sectional study using data and partial results of a major study "Physical and chemical properties of LDL and HDL, cardiometabolic and oxidative markers can be modulated by the consumption of omega-3, omega-6 and omega-9 in individuals with intermediate cardiovascular risk? ", funded by FAPESP (Process 2011/12523-2), National Institute of Science and Technology Complete Fluid (INCT-FCx 2010-2014) and the Center for Research Support Fluid Complexes (NAP-FCx 2011-2016). To develop the HDL functionality score, this study proposes the following analysis: to evaluate the activity of paraoxonase 1 (PON1), phospholipase A2 associated with the lipoprotein (Lp-PLA2), the cholesterol ester transfer protein (CETP) and phospholipid transfer protein (PLTP) using commercial kits; to determine lipid transfer capacity and antioxidant capacity of HDL (time lag) by experimental methods and the fat soluble antioxidant content in HDL (±-tocopherol, ²-carotene, lycopene, and retinol) using the liquid chromatography system high efficiency. The results will be analyzed statistically to categorize and to classify the sample, and logistic regression models to assess the association of the new score with cardiovascular risk algorithms and clinical outcomes in a different sample. Statistical tests will be performed with assist of the Statistical Package for the Social Sciences® (SPSS), version 20.0. Significance statistical adopted p<0.05. Analyzes and methods presented in this proposal are partially inserted into INCT- FCx project (CALL PUBLIC MCTI / CNPq / CAPES / FAPESP-n° 16/2014 - INCT PROGRAM, 2015-2020), currently under consideration by the CNPq and FAPESP.
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