Abstract
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/m2). 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 (r2 = 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.
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Article info
Publication history
Accepted:
August 20,
2006
Received:
November 14,
2005
Identification
Copyright
© 2007 Elsevier Inc. Published by Elsevier Inc. All rights reserved.
