A system model of oral glucose absorption: Validation on gold standard data

Chiara Dalla Man, Michael Camilleri, Claudio Cobelli

Research output: Contribution to journalArticlepeer-review

189 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number10
Pages (from-to)2472-2478
Number of pages7
JournalIEEE Transactions on Biomedical Engineering
Volume53
Issue number12
DOIs
StatePublished - Dec 2006

Keywords

  • Gastric emptying
  • Gastrointestinal system
  • Meal
  • OGTT
  • Parameter estimation
  • Physiological model

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'A system model of oral glucose absorption: Validation on gold standard data'. Together they form a unique fingerprint.

Cite this