Department of Medical Technology, Kumamoto Health Science University, Kumamoto, Japan.
Department of Medical Technology, Kumamoto Health Science University, Kumamoto, Japan.
Clin Chim Acta. 2015 Jan 15;439:29-37. doi: 10.1016/j.cca.2014.09.030. Epub 2014 Oct 5.
We investigated the reaction specificity toward cholesterol in lipoprotein X (Lp-X) and abnormal LDL among 6 homogeneous assays for low-density lipoprotein cholesterol (LDL-C) based on different measurement principles.
The homogeneous LDL-C assays used were based on the liquid selective detergent, selective solubilization, elimination, enzyme-selective protection, calixarene complex, and phosphate complex inhibition methods. The fraction with a density of 1.006-1.063 kg/l was isolated from cholestatic sera, and the reactivity of cholesterol in the lipoprotein fractions by gel filtration for each homogeneous LDL-C assay was determined.
The liquid selective detergent and elimination methods showed increased cholesterol reactivity in the Lp-X fraction in a concentration-dependent manner, while the selective solubilization and phosphate complex inhibition methods were less reactive toward Lp-X cholesterol. Meanwhile, the homogeneous LDL-C assays showed decreased reactivity against cholesterol in abnormal LDL, with increased ratios of phospholipids and triglycerides against cholesterol.
The homogeneous LDL-C assays showed differential reactivity toward Lp-X and abnormal LDL. Our findings enable accurate interpretation of the LDL-C values in these homogeneous assays, and suggest that these methods should be improved to distinguish between normal LDL and abnormal LDL or Lp-X.
我们研究了 6 种基于不同测量原理的脂蛋白 X (Lp-X) 和异常 LDL 中胆固醇的反应特异性,这些方法都是用于检测低密度脂蛋白胆固醇 (LDL-C) 的均相测定法。
使用的均相 LDL-C 测定法基于液体选择性洗涤剂、选择性溶解、消除、酶选择性保护、杯芳烃络合物和磷酸复合物抑制方法。从胆汁淤积性血清中分离出密度为 1.006-1.063kg/l 的部分,并用凝胶过滤法测定每种均相 LDL-C 测定法中脂蛋白部分的胆固醇反应性。
液体选择性洗涤剂和消除方法显示,Lp-X 部分的胆固醇反应性呈浓度依赖性增加,而选择性溶解和磷酸复合物抑制方法对 Lp-X 胆固醇的反应性较低。同时,均相 LDL-C 测定法对异常 LDL 中的胆固醇反应性降低,同时磷脂和甘油三酯与胆固醇的比值增加。
均相 LDL-C 测定法对 Lp-X 和异常 LDL 表现出不同的反应性。我们的发现使这些均相测定法中 LDL-C 值的解释更加准确,并表明这些方法应该得到改进,以区分正常 LDL 和异常 LDL 或 Lp-X。