Meng Huicui, Matthan Nirupa R, Ausman Lynne M, Lichtenstein Alice H
Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA.
Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
Am J Clin Nutr. 2017 Nov;106(5):1246-1256. doi: 10.3945/ajcn.117.162727. Epub 2017 Sep 13.
The potential impact of prior meal composition on the postprandial glycemic response and glycemic index (GI) and glycemic load (GL) value determinations remains unclear. We determined the effect of meals that varied in macronutrient composition on the glycemic response and determination of GI and GL values of a subsequent standard test food. Twenty healthy participants underwent 6 test sessions within 12 wk. The subjects received each of 3 isocaloric breakfast meals (i.e., high carbohydrate, high fat, or high protein) on separate days in a random order, which was followed by a standard set of challenges (i.e., white bread and a glucose drink) that were tested on separate days in a random order 4 h thereafter. Each challenge provided 50 g available carbohydrate. Arterialized venous blood was sampled throughout the 2-h postchallenge period. GI, GL, and insulin index (II) values were calculated with the use of the incremental area under the curve (AUC) method, and serum lipids were determined with the use of standard assays. The consumption of the high-protein breakfast before the white-bread challenge attenuated the rise in the postprandial serum glucose response ( < 0.0001) and resulted in lower glucose AUC ( < 0.0001), GI ( = 0.0096), and GL ( = 0.0101) values than did the high-carbohydrate and high-fat breakfasts. The high-protein breakfast resulted in a lower insulin AUC ( = 0.0146) for white bread than did the high-fat breakfast and a lower II value ( = 0.0285) than did the high-carbohydrate breakfast. The 3 breakfasts resulted in similar serum lipid responses to the white-bread challenge. These data indicate that the macronutrient composition of the prior meal influences the glycemic response and the determination of GI and GL values for white bread. Future studies are needed to determine whether the background food macronutrient composition influences mean dietary GI and GL values that are calculated for eating patterns, which may alter the interpretation of the associations between these values and chronic disease risk. This trial was registered at clinicaltrials.gov as NCT01023646.
先前膳食组成对餐后血糖反应以及血糖指数(GI)和血糖负荷(GL)值测定的潜在影响仍不明确。我们测定了宏量营养素组成不同的膳食对血糖反应以及后续标准测试食物的GI和GL值测定的影响。20名健康参与者在12周内进行了6次测试。受试者在不同日期随机接受3种等热量早餐膳食(即高碳水化合物、高脂肪或高蛋白)中的每一种,4小时后,在不同日期随机接受一组标准挑战(即白面包和葡萄糖饮料)。每次挑战提供50克可利用碳水化合物。在挑战后的2小时内全程采集动脉化静脉血样。使用曲线下增量面积(AUC)法计算GI、GL和胰岛素指数(II)值,并使用标准测定法测定血清脂质。在白面包挑战前食用高蛋白早餐可减弱餐后血清葡萄糖反应的升高(<0.0001),并导致葡萄糖AUC(<0.0001)、GI(=0.0096)和GL(=0.0101)值低于高碳水化合物和高脂肪早餐。与高脂肪早餐相比,高蛋白早餐导致白面包的胰岛素AUC较低(=0.0146),与高碳水化合物早餐相比,II值较低(=0.0285)。这3种早餐对血清脂质对白面包挑战的反应相似。这些数据表明,先前膳食的宏量营养素组成会影响血糖反应以及白面包的GI和GL值测定。未来需要开展研究,以确定背景食物的宏量营养素组成是否会影响根据饮食模式计算的平均膳食GI和GL值,这可能会改变这些值与慢性病风险之间关联的解读。该试验已在clinicaltrials.gov上注册,注册号为NCT01023646。