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Research Project: LINKING FOODS, BEHAVIOR AND METABOLISM TO PROMOTE A HEALTHY BODY WEIGHT

Location: Obesity and Metabolism Research Unit

Title: Within subject variation of satiety hormone responses to a standard lunch

Authors
item Forester, Shavawn -
item Witbracht, Megan -
item Horn, William
item Keim, Nancy
item Laugero, Kevin

Submitted to: Journal of Federation of American Societies for Experimental Biology
Publication Type: Abstract Only
Publication Acceptance Date: February 1, 2012
Publication Date: March 29, 2012
Citation: Forester, S.M., Witbracht, M., Horn, W.F., Keim, N.L., Laugero, K.D. 2012. Within subject variation of satiety hormone responses to a standard lunch. Journal of Federation of American Societies for Experimental Biology. 639.5.

Technical Abstract: Background: Insulin (Ins), leptin (Lep), GLP-1, and glucagon (Glg) are known regulators of glucose metabolism and food intake, but reproducibility in response to a meal challenge is not well characterized. We assessed within-subject variation of these hormones in 14 young adult women.Methods: Subjects were studied on 2 days during the follicular phase of the menstrual cycle. On test days blood was drawn at 20, 35, 50, 65 & 125 min after a standard lunch meal. Meso Scale Discovery assay system was used to measure the hormones in a multiplexed sandwich immunoassay. Results: Analysis of variance revealed that there were no differences between test days for all 4 hormones. Correlations between values for test days 1 & 2 were significant for Ins (r = 0.68; p < 0.0001), Lep (r = 0.86; p < 0.0001) and GLP-1 (r = 0.97; p < 0.0001) but not for Glg (r = 0.18; p = 0.143). Mean within subject variation (% of mean value at each time point) was 42, 37, 48, and 87 for Ins, Lep, GLP-1 and Glg, respectively. Averaging values for 5 time points, to represent postprandial response, reduced within-subject variation to 30, 37, 23, and 35% of mean value, respectively. Discussion: Despite controlled test meals, we observed large within-subject variation that was partly reduced by using summary measures. Other contributors to variation may include pre-test diet intake, environmental influences, or analytical error. Funding: USDA CSREES 2009-35215-05364.

   

 
Project Team
Keim, Nancy
Newman, John
Adams, Sean
Laugero, Kevin
Huang, Liping
 
Publications
   Publications
 
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  Human Nutrition (107)
 
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