BACKGROUND: Alterations in plasma lipoprotein subclass distribution affect the risk for coronary artery disease (CAD). However, it is unclear whether the determination of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) phenotypes may or may not improve the ability to predict CAD development. METHODS: Polyacrylamide gradient (3-31%) gel electrophoresis was used to simultaneously determine size and distribution of lipoprotein subclasses in 181 CAD patients and 178 controls. RESULTS: Mean LDL and HDL subclass sizes were significantly smaller in patients than in controls (p < 0.001). Multivariate logistic regression analysis showed that small dense LDL particles were independent CAD risk predictors (OR = 2.867, p < 0.01), even when adjusted for other traditional risk factors, while small HDL particles lost their significance after adjustment (OR = 2.071, p = 0.054). The area under the ROC curve for LDL (0.671) and HDL (0.643) particle size measurement demonstrated low clinical accuracy when compared to the combination of traditional lipid risk factor measurements. CONCLUSIONS: CAD is associated with the predominance of smaller LDL and HDL particles. However, simultaneous determination of these two lipoprotein phenotypes provides no additional power in discriminating CAD and non-CAD subjects, beyond that obtained by the traditional risk factors.
BACKGROUND: Alterations in plasma lipoprotein subclass distribution affect the risk for coronary artery disease (CAD). However, it is unclear whether the determination of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) phenotypes may or may not improve the ability to predict CAD development. METHODS:Polyacrylamide gradient (3-31%) gel electrophoresis was used to simultaneously determine size and distribution of lipoprotein subclasses in 181 CAD patients and 178 controls. RESULTS: Mean LDL and HDL subclass sizes were significantly smaller in patients than in controls (p < 0.001). Multivariate logistic regression analysis showed that small dense LDL particles were independent CAD risk predictors (OR = 2.867, p < 0.01), even when adjusted for other traditional risk factors, while small HDL particles lost their significance after adjustment (OR = 2.071, p = 0.054). The area under the ROC curve for LDL (0.671) and HDL (0.643) particle size measurement demonstrated low clinical accuracy when compared to the combination of traditional lipid risk factor measurements. CONCLUSIONS: CAD is associated with the predominance of smaller LDL and HDL particles. However, simultaneous determination of these two lipoprotein phenotypes provides no additional power in discriminating CAD and non-CAD subjects, beyond that obtained by the traditional risk factors.
Authors: Kees van Bochove; Daniël B van Schalkwijk; Laurence D Parnell; Chao-Qiang Lai; José M Ordovás; Albert A de Graaf; Ben van Ommen; Donna K Arnett Journal: PLoS One Date: 2012-06-12 Impact factor: 3.240
Authors: Jelena Vekic; Aleksandra Zeljkovic; Khalid Al Rasadi; Mustafa Cesur; José Silva-Nunes; Anca Pantea Stoian; Manfredi Rizzo Journal: Metabolites Date: 2022-01-24
Authors: Jelena Vekic; Aleksandra Zeljkovic; Aleksandra Stefanovic; Natasa Bogavac-Stanojevic; Ioannis Ilias; José Silva-Nunes; Anca Pantea Stoian; Andrej Janez; Manfredi Rizzo Journal: Pharmaceutics Date: 2022-04-09 Impact factor: 6.525