APPLICATION OF POPULATION KINETICS TO LIPID & LIPOPROTEIN METABOLIC STUDIES: CHD

低密度脂蛋白胆固醇（LDL-C）水平升高是一种 冠心病的主要危险因素。 的一种方法 确定导致LDL-C升高的一些因素， 包括进行脂蛋白转换研究。 此类研究 确定脂蛋白代谢的途径， 不同脂蛋白的产生和催化速率 物种 随着技术的发展， 同位素来追踪不同的载脂蛋白， 重新对进行此类研究产生兴趣。 另外随着 稳定同位素的使用使我们有能力 同一个体在不同实验条件下的周转研究 条件，如药物治疗和/或饮食变化。 使用 过去的放射性示踪剂限制了实验者的能力， 进行多个营业额研究，因为与 辐射暴露 许多脂蛋白代谢的房室模型已经被证明是有效的。 在过去的30年里（1 - 5）。 S10 B型号已安装 个人的数据集，以确定动力学参数 兴趣 为了确定基团动力学参数， 忽略与WW相关的误差计算动力学参数 单个参数或参数之间的协方差。 此外，没有研究整合了获得的瓦片信息 使用其他协变量（如测量值）进行拟合 肥胖、高血压、血脂异常和胰岛素抵抗。 从示踪剂研究中得出的结论可能与缺乏 了解群体变异性，也因为协变量 未纳入动力学数据的%分析中

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