Cobb M M, Risch N
Laboratory of Biochemical Genetics and Metabolism, Rockefeller University, New York, NY.
Metabolism. 1993 Jan;42(1):7-13. doi: 10.1016/0026-0495(93)90164-j.
Both apolipoprotein E genotype (apo E) and diet predict very-low-density (VLDL-C) and low-density lipoprotein cholesterol (LDL-C) levels. In a retrospective pooled analysis of six studies, we sought to identify the predictors of VLDL-C and LDL-C change, or "responsiveness," to a diet crossover. "Response" to diet was studied in 67 normolipidemic subjects of common apo E genotype. Subjects were fed two contrasting, metabolically controlled diets: one had a low polyunsaturated to saturated fatty acid ratio (P:S), and the other had a high P:S ratio. Multiple blood samples were analyzed for VLDL-C and LDL-C levels at the end of each metabolic diet period, and values were averaged and differences were calculated. Despite adjustment for significant predictors across the component studies, a wide range of LDL-C responsiveness was found, with an average decrease of 28 mg/dL. Multivariate regression analysis was used to identify the most significant predictors of LDL-C response to the diet crossover. All dietary and clinical variables were entered by stepwise regression for potential inclusion in a "best-fit" model. The degree of change in saturated fat content and age were the most significant predictors of LDL-C responsiveness. Neither dietary cholesterol nor apo E phenotype were significant predictors of responsiveness. The most LDL-C-responsive subjects were older and required smaller reductions in dietary saturated fat levels than did less-responsive subjects to achieve a comparable reduction in LDL-C levels. Multiple regression analysis suggested a precursor-product relationship between VLDL-C and LDL-C responsiveness.
载脂蛋白E基因型(apo E)和饮食都可预测极低密度脂蛋白胆固醇(VLDL-C)和低密度脂蛋白胆固醇(LDL-C)水平。在一项对六项研究的回顾性汇总分析中,我们试图确定VLDL-C和LDL-C变化的预测因素,即饮食交叉的“反应性”。对67名具有常见apo E基因型的血脂正常受试者的饮食“反应”进行了研究。受试者被给予两种对比鲜明、代谢受控的饮食:一种饮食的多不饱和脂肪酸与饱和脂肪酸比例(P:S)较低,另一种饮食的P:S比例较高。在每个代谢饮食期结束时,对多个血样进行VLDL-C和LDL-C水平分析,对数值进行平均并计算差值。尽管对各组成研究中的显著预测因素进行了校正,但仍发现LDL-C反应性存在广泛差异,平均降低了28mg/dL。采用多变量回归分析来确定饮食交叉后LDL-C反应的最显著预测因素。所有饮食和临床变量通过逐步回归纳入,以潜在地纳入“最佳拟合”模型。饱和脂肪含量的变化程度和年龄是LDL-C反应性的最显著预测因素。饮食胆固醇和apo E表型均不是反应性的显著预测因素。与反应性较低的受试者相比,LDL-C反应性最高的受试者年龄较大,且饮食中饱和脂肪水平的降低幅度较小,即可实现LDL-C水平的类似降低。多变量回归分析表明VLDL-C和LDL-C反应性之间存在前体-产物关系。