Remer T, Manz F
Research Institute of Child Nutrition, Dortmund, Germany.
Am J Clin Nutr. 1994 Jun;59(6):1356-61. doi: 10.1093/ajcn/59.6.1356.
The object of this study was to determine whether it is possible to reliably estimate the renal net acid excretion (NAE) produced by adults consuming different amounts of dietary protein. A physiologically based calculation model that corrects for intestinal absorption of minerals and sulfur-containing protein and assumes a rate of urinary excretion of organic acids proportional to body surface area was used to estimate NAE. Urinary excretion of different minerals and NAE was measured during the last 48 h of each of four separate 5-d diet periods in six healthy adults. On the basis of food tables, the four nearly isoenergetic diets (one lacto-vegetarian and one high- and two moderate-protein diets) were estimated to yield the following NAE values: 3.7, 117.5, 62.2, and 102.2 mEq/d, respectively. The analytically determined urinary NAE (24.1 +/- 10.7, 135.5 +/- 16.4, 69.7 +/- 21.4, and 112.6 +/- 10.9 mEq/d) corresponded reasonably well to these estimates, suggesting that the calculation model is appropriate to predict the renal NAE from nutrient intake and anthropometric data.
本研究的目的是确定是否有可能可靠地估计摄入不同量膳食蛋白质的成年人产生的肾脏净酸排泄量(NAE)。使用一种基于生理学的计算模型来估计NAE,该模型校正了矿物质和含硫蛋白质的肠道吸收,并假设有机酸的尿排泄率与体表面积成正比。在六名健康成年人的四个单独的5天饮食期的最后48小时内,测量了不同矿物质的尿排泄量和NAE。根据食物表,估计四种近乎等能量的饮食(一种乳素食和一种高蛋白和两种中等蛋白饮食)分别产生以下NAE值:3.7、117.5、62.2和102.2 mEq/d。分析测定的尿NAE(24.1±10.7、135.5±16.4、69.7±21.4和112.6±10.9 mEq/d)与这些估计值相当吻合,表明该计算模型适用于根据营养摄入和人体测量数据预测肾脏NAE。