ATORVASTATIN ON CLEARANCE RATE OF POSTPRANDIAL TRIGLYCERIDE RICH LIPOPROTEINS

阿托伐他汀对餐后富含甘油三酯脂蛋白清除率的影响

• 批准号: 6123533
• 负责人: P HUGH BARRETT
• 金额: $ 2.79万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-03-01 至 2000-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6123533
• 关键词: bioengineering /biomedical engineering; biomedical resource; cardiovascular system; lipids; statistics /biometry

Elevated low density lipoprotein cholesterol (LDL-C) levels are a major risk factor for coronary heart disease. One approach to determining some of the factors responsible for elevated LDL-C has involved performing lipoprotein turnover studies. Such studies determine the pathways of lipoprotein metabolism and quantify the rates of production and catabolism of the different lipoprotein species. With the technology now readily available for using stable isotopes to trace the different apolipoproteins, there has been renewed interest in performing such studies. In addition, with the use of stable isotopes has come the ability to perform multiple turnover studies in the same individual under different experimental conditions, such as drug therapy and/or dietary changes. The use of radioactive tracers in the past limited the experimenters ability to perform multiple turnover studies because of risks associated with radiation exposure. Many compartmental models of lipoprotein metabolism have been developed in the past thirty years (1 -5). S10b models have been fit to an individual's data set to determine the kinetic parameters of interest. To deternibw group kinetic parameters, averages of the kinetic parameters are calculated ignoring the errors associated WW the individual parameters or the covariances between the parameters. Further, no studies have integrated tile information obtained following the fitting process with other covariates, such as measures of obesity hypertension, dyslipidernia and insulin resistance. Conclusions drawn from tracer studies may be confoUn by the lack of understanding of population variability and also because covariates have not been included in% analysis of the kinetic data

低密度脂蛋白胆固醇(LDL-C)水平升高是 冠心病的主要危险因素。一种方法是 确定导致低密度脂蛋白升高的一些因素 参与了脂蛋白周转研究。这类研究 确定脂蛋白代谢的途径，并量化 不同脂蛋白的产生率和分解代谢速率 物种。随着这项技术现在可以很容易地使用稳定 为了追踪不同的载脂蛋白，已经有了 重新燃起了进行此类研究的兴趣。此外，使用 稳定同位素的使用带来了执行多个 同一个体在不同实验条件下的离职研究 条件，如药物治疗和/或饮食改变。对.的使用 过去的放射性示踪剂限制了实验者的能力 执行多项离职研究，因为与以下各项相关的风险 辐射暴露。 脂蛋白代谢的许多隔室模型已经被 在过去30年(1-5年)发展起来的。S10b型号已经很合适了 到个人的数据集，以确定 利息。以确定基团动力学参数，平均 计算动力学参数时不考虑与WW相关的误差 各个参数或参数之间的协方差。 此外，还没有研究将获得的切片信息进行整合 遵循其他协变量的拟合过程，如MEASURES 肥胖、高血压、血脂障碍和胰岛素抵抗。 从示踪剂研究中得出的结论可能与缺乏 对种群变异性的理解，也是因为协变量 未包括在动力学数据的百分比分析中