TY - JOUR
T1 - A system model of oral glucose absorption
T2 - Validation on gold standard data
AU - Dalla Man, Chiara
AU - Camilleri, Michael
AU - Cobelli, Claudio
N1 - Funding Information:
Manuscript received April 12, 2005; revised June 17, 2006. This work was supported in part by the National Institutes of Health (NIH) under Grant EB-01975 and Grant DK29953-23. Asterisk indicates corresponding author. C. Dalla Man is with the Department of Information Engineering, University of Padova, Padova 35131, Italy (e-mail: chiara.dallaman@dei.unipd.it). M. Camilleri is with the Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine, Rochester, MN 55905 USA (e-mail: camilleri.michael@mayo.edu). *C. Cobelli is with the Department of Information Engineering, University of Padova, Padova 35131, Italy (e-mail: cobelli@dei.unipd.it). Digital Object Identifier 10.1109/TBME.2006.883792 Fig. 1. (A) Glucose absorption modeling in absence of gold standard Ra data. (B) Glucose absorption modeling in presence of gold standard Ra data.
PY - 2006/12
Y1 - 2006/12
N2 - A reliable model of glucose absorption after oral ingestion may facilitate simulation as well as pathophysiological studies. One of the difficulties for the development and quality assessment of such models has been the lack of gold standard data for their validation. Thus, while data on plasma concentrations of glucose are available, the rates of appearance in plasma of ingested glucose (Ra) were not available to develop such models. Here we utilize the recent availability of Ra data, estimated with a model-independent multiple tracer technique, to formulate a system model of intestinal glucose absorption. Two published and two new models are tested on this new data set. One of the two new models performed best: it is nonlinear, describes the Ra data well and its parameters are estimated with good precision. This model has important potential both in simulation contexts, e.g., it can be incorporated in whole-body models of the glucose regulatory system, as well as in physiological and clinical studies to quantitatively characterize possible impairment of glucose absorption in particular populations such as elderly and diabetic individuals.
AB - A reliable model of glucose absorption after oral ingestion may facilitate simulation as well as pathophysiological studies. One of the difficulties for the development and quality assessment of such models has been the lack of gold standard data for their validation. Thus, while data on plasma concentrations of glucose are available, the rates of appearance in plasma of ingested glucose (Ra) were not available to develop such models. Here we utilize the recent availability of Ra data, estimated with a model-independent multiple tracer technique, to formulate a system model of intestinal glucose absorption. Two published and two new models are tested on this new data set. One of the two new models performed best: it is nonlinear, describes the Ra data well and its parameters are estimated with good precision. This model has important potential both in simulation contexts, e.g., it can be incorporated in whole-body models of the glucose regulatory system, as well as in physiological and clinical studies to quantitatively characterize possible impairment of glucose absorption in particular populations such as elderly and diabetic individuals.
KW - Gastric emptying
KW - Gastrointestinal system
KW - Meal
KW - OGTT
KW - Parameter estimation
KW - Physiological model
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U2 - 10.1109/TBME.2006.883792
DO - 10.1109/TBME.2006.883792
M3 - Article
C2 - 17153204
AN - SCOPUS:33845914748
SN - 0018-9294
VL - 53
SP - 2472
EP - 2478
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 12
M1 - 10
ER -