DIRECT LDL CHOLESTEROL MEASUREMENT BY THREE-PHASE METHOD

通过三相法直接测量低密度脂蛋白胆固醇

• 批准号: 3502341
• 负责人: CASIMIR RYZEWSKI
• 金额: $ 4.59万
• 依托单位: BIPHASICS, INC.
• 依托单位国家: 美国
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-30 至 1994-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3502341
• 关键词: blood tests; cholesterol; dextrans; diagnosis design /evaluation; gel electrophoresis; high density lipoproteins; human tissue; hydropathy; low density lipoprotein; physical separation; polyethylenes; polymers; serology /serodiagnosis; very low density lipoprotein; water solubility

The objective of this proposed program will be to develop a direct method for measurement of low density lipoprotein (LDL) cholesterol in plasma and serum using three-phase systems. LDL's are involved in the pathogenesis of coronary artery disease, and by lowering blood levels of LDL cholesterol one can reduce the risk of heart attack. For this reason, there has been considerable clinical and epidemiological interest in its measurement. Three-phase systems are formed when solvent is mixed with three soluble, non-toxic polymers. The three phases can separate biomolecules based on their physical and chemical properties. The experimental procedure will be aimed at determining the three-phase system conditions in which the LDL cholesterol is partitioned to one phase. The LDL cholesterol can then be removed from the system and quantified using established chemical and enzymatic techniques. Three-phase systems offer substantial benefits over competitive technology for direct LDL cholesterol measurement, such as ultracentrifugation. The proposed method is rapid, cost-effective and can be readily applied to large population studies.

本计划的目标是开发一种直接的方法 用于测量血浆中的低密度脂蛋白（LDL）胆固醇 和血清的三相系统。 低密度脂蛋白参与了 冠状动脉疾病的发病机制，并通过降低血液中 低密度脂蛋白胆固醇可以降低心脏病发作的风险。 为此 由于这个原因，临床和流行病学都对它产生了相当大的兴趣。 在其测量。 当溶剂与三种可溶性， 无毒聚合物。 这三个阶段可以分离生物分子， 它们的物理和化学性质。 实验过程将 旨在确定三相系统条件， LDL胆固醇被分配到一个相。 LDL胆固醇可以 然后从系统中取出，并使用已建立的化学物质进行定量， 和酶促技术。 三相系统提供了比竞争对手更大的优势 直接测量LDL胆固醇的技术，例如 超离心 所提出的方法是快速，成本效益高， 可以很容易地应用于大规模人群研究。