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首页> 外文期刊>Metabolism: Clinical and Experimental >Predicting more accurately the overall glucose response to a lunch meal by using the postprandial glucose peak.
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Predicting more accurately the overall glucose response to a lunch meal by using the postprandial glucose peak.

机译:通过使用餐后血糖峰值,可以更准确地预测午餐食品的总体血糖反应。

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Although the assessment of postprandial glycemia is clinically important, the most relevant time points with the smallest number of blood samples giving the highest predictive power have yet to be established. It has been suggested that a sample estimating the postprandial peak concentration would improve this predictive power compared to the usual recommended time points. In this study, we assessed the power of these time points to predict the glucose response to a meal mimicking everyday life. Subjects were 11 healthy young men (mean age, 22 +/- 1 years; body mass index, 21.7 +/- 1.8 kg/m(2)). Plasma glucose, insulin, and nonesterified fatty acids were measured by continuous collection of blood in tubes filled every 5 minutes for 240 minutes after a 2-item lunch meal consumed ad libitum on the first test day, and in the same amount 1 week later. The most relevant time point for the plasma glucose peak level was found at 45 minutes (mean interval, 47 +/- 3 minutes) and was not dependent on the energy intake at lunch. Its coefficient of variation was low (7.0% +/- 1.5%). The best predictive equation for the whole postmeal glucose area under the curve (AUC) was found at 120 minutes and involved glucose, insulin, and nonesterified fatty acids (r(2) = 0.89; P < 10(-7)). The 120-minute postmeal glucose profile constructed with the 0-, 45-, 90-, and 120-minute time points overlapped more accurately with the actual profile than did the time points normally used in the glucose tolerance test, and slightly improved the correlation between the calculated and the actual plasma glucose area under the curve (r = 0.96; P < 10(-7)). In conclusion, in healthy, young, lean male subjects, a blood sample collected 45 minutes after a spontaneous lunch meal estimates the postprandial plasma glucose peak and suggests that including the peak level along with 90- and 120-minute time points may improve the predictive power of the plasma glucose profile after a meal.
机译:尽管对餐后血糖的评估在临床上很重要,但尚未建立具有最强预测能力的血液样本数量最少的最相关时间点。已经提出,与通常推荐的时间点相比,估计餐后峰值浓度的样品将改善这种预测能力。在这项研究中,我们评估了这些时间点的力量,以预测对模仿日常生活的餐食的葡萄糖反应。受试者为11名健康的年轻男性(平均年龄22 +/- 1岁;体重指数21.7 +/- 1.8 kg / m(2))。在第一个测试日随意饮用2项午餐后,以每5分钟连续充注240分钟的试管中连续抽血来测量血浆葡萄糖,胰岛素和非酯化脂肪酸的含量,并在1周后以相同的量服用。血浆葡萄糖峰值水平的最相关时间点是在45分钟(平均间隔47 +/- 3分钟)处发现的,与午餐时的能量摄入无关。它的变异系数很低(7.0%+/- 1.5%)。曲线下的整个餐后血糖面积(AUC)的最佳预测方程式是在120分钟时发现的,涉及葡萄糖,胰岛素和非酯化脂肪酸(r(2)= 0.89; P <10(-7))。与0分钟,45分钟,90分钟和120分钟的时间点构成的120分钟餐后葡萄糖曲线与实际曲线的重叠比与葡萄糖耐量测试中通常使用的时间点更为准确,并且稍微改善了相关性曲线下计算的和实际的血浆葡萄糖面积之间的差(r = 0.96; P <10(-7))。总之,在健康,年轻,瘦弱的男性受试者中,自发午餐后45分钟采集的血液样本可估计餐后血浆葡萄糖峰值,并建议包括该峰值水平以及90分钟和120分钟的时间点可以改善预测饭后血浆葡萄糖曲线的能量。

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