Association Between Fat-soluble Vitamins and Lipid Profile in the Overweight Population.

BACKGROUND & AIMS: It is well-known that the coronary artery stenosis is related to lipid profile. This is a descriptive cross-sectional study to investigate the relationship between the serum fat-soluble vitamins (A, E and D), circulating proprotein convertase subtilisin/kexin type 9 (PCSK9), and lipid profile in the study population. METHODS: A total of 120 overweight subjects were participated in this study. The circulating PCSK9 and vitamin D were measured by ELISA technique. The serum vitamin A and vitamin E amounts were simultaneously measured by the HPLC method. The Serum Small Dense LDLCholesterol (sdLDL-C) values were evaluated using heparin-Mg2+ precipitation technique. The lipid profile was measured by routine laboratory techniques. RESULTS: The serum vitamin E values correlated significantly to vitamin A (r= 0.47, P= 0.0001), VLDL-C (r= 0.30, P= 0.002), total cholesterol (r= 0.309, P= 0.001), PCSK9 (r= 0.233, P= 0.01) and total triglyceride (r= 0.61, P= 0.0001) values. The circulating PCSK9 values correlated significantly to LDL-C (r= 0.17, P= 0.05) and total cholesterol (r= 0.23, P= 0.009) values. However, there were not correlations between the levels of serum D and A vitamins, the serum LDL-C, sdLDL-C and total cholesterol values. CONCLUSION: The data showed the correlations between serum vitamin E and PCSK9-related LDLC values lower than the normal range. Furthermore, the results suggested a nutritional need on the patents considering supplementation or fortification of vitamin E for the overweight subjects with higher LDL-C levels.

Circulating PCSK9 affects serum LDL and cholesterol levels more than SREBP-2 expression.

BACKGROUND: Cholesterol homeostasis is dependent upon the sterol regulatory element binding protein 2 (SREBP-2) regulatory system and the functioning of plasma proprotein convertase subtilisin/kexin type 9 (PCSK9). Many studies have also reported that low density lipoprotein receptor (LDLR) levels in cellular membranes are related to the functioning of these proteins. OBJECTIVES: The aim of this study was to investigate the association of lipid profiles with circulating PCSK9 protein values and SREBP-2 expression levels in normal subjects. MATERIAL AND METHODS: The study involved 120 randomly chosen healthy subjects. Their lipid profiles were measured using routine laboratory techniques, and the plasma PCSK9 protein and SREBP-2 expression levels were determined by ELISA and real time quantitative PCR methods, respectively. A statistical analysis was carried out using a statistical software package. RESULTS: Linear regression analyses showed a significant correlation between total cholesterol and PCSK9 (3.54 ± 1.31 ng/mL), as well as between total cholesterol and SREBP-2 (0.1-35.38) (p = 0.002 and p = 0.02, respectively). Furthermore, multiple regression analyses showed strict correlations between PCSK9 and cholesterol-related parameters especially the total cholesterol/HDL-C ratio (ß = 3.53, p = 0.001). There was no significant correlation between circulating PCSK9 and SREBP-2 expression levels (r = 1.2, p = 0.3). CONCLUSIONS: The study results revealed that serum cholesterol-related parameters are strictly associated with plasma PCSK9 values, suggesting that PCSK9 function has a greater effect on serum total cholesterol levels than SREBP-2 expression does. Furthermore, the total cholesterol/HDL-C ratio was a better indicator for evaluating PCSK9 level than total cholesterol.

Serum sdLDL-C and Cellular SREBP2-dependent Cholesterol Levels; is there a Challenge on Targeting PCSK9?

BACKGROUND: Serum small dense LDL-cholesterol (sdLDL-C) value is suggested to bean important risk factor for atherosclerosis. Since sdLDL-C changes may be related to PCSK9 and SREBP-2 functions, the aim of this study was to investigate correlations between sdLDL-C, circulating PCSK9, SREBP-2 expression and some lipid parameters in serum and butty coat fraction of healthy subjects. METHODS: One hundred and twenty-four subjects were randomly included in the study. The lipid profile was measured using routine laboratory methods. The serum sdLDL-C level was calculated by a heparin-related precipitation technique. The cellular LDL-C/protein and cholesterol/protein values were measured after lysing of cells with methanol/chloroform binary solvent. The circulating PCSK9 level was measured using ELISA technique. The SREBP-2 expression level was estimated using theRT-qPCR technique. RESULTS: Data showed significant correlations between LDL-C, TG and sdLDL-C levels (r=0.34, p=0.001; r=0.2, p=0.04). The circulating PCSK9 level was correlated to LDL-C (r=0.29, p=0.04), but not to sdLDL-C (r=-0.08, p=0.57). Also, cellular LDL-C value was not related to serum LDL-C level (r=-0.12, p=0.39). Furthermore, there was an inverse correlation between cellular LDL-C/protein value and estimated de novo cholesterol/protein value (r= -0.5, p=0.001). Similar results were observed for cellular LDL-C/protein value and SREBP-2 expression level (r= -0.52, p=0.004). CONCLUSIONS: We concluded that the serum sdLDL-C value is not related to circulating PCSK9. Furthermore, SREBP-2 regulatory system was able to elevate the cellular cholesterol level after reducing LDL influx. We suggest to investigate the cellular sdLDL fate and lipid synthesis pathways in PCSK9-targeting studies.