A Model for the Estimation of Hepatic Insulin Extraction After a Meal

• Published in: IEEE transactions on biomedical engineering Vol. 63; no. 9; pp. 1925 - 1932
• Main Authors: Piccinini, Francesca, Dalla Man, Chiara, Vella, Adrian, Cobelli, Claudio
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Blood Glucose - metabolism; Carbohydrate Metabolism - physiology; Computer Simulation; Data models; Descriptions; Eating - physiology; Estimates; Extraction; Female; Glucose; Humans; Insulin; Insulin - blood; Insulin - metabolism; Insulin clearance; insulin kinetics; Insulin Secretion; Kinetic theory; Kinetics; Liver; Liver - metabolism; Male; Mathematical models; Meals; Metabolic Clearance Rate; Middle Aged; Models, Biological; Parameters; Plasmas; Postprandial Period - physiology; Solid modeling; Sugar
• ISSN: 0018-9294; 1558-2531; 1558-2531
• DOI: 10.1109/TBME.2015.2505507

Goal: Quantitative assessment of hepatic insulin extraction (TIE) after an oral glucose challenge, e.g., a meal, is important to understand the regulation of carbohydrate metabolism. The aim of the current study is to develop a model of system for estimating TIE. Methods: Nine different models, of increasing complexity, were tested on data of 204 normal subjects, who underwent a mixed meal tolerance test, with frequent measurement of plasma glucose, insulin, and C-peptide concentrations. All these models included a two-compartment model of C-peptide kinetics, an insulin secretion model, a compartmental model of insulin kinetics (with number of compartments ranging from one to three), and different TIE descriptions, depending on plasma glucose and insulin. Model performances were compared on the basis of data fit, precision of parameter estimates, and parsimony criteria. Results: The three-compartment model of insulin kinetics, coupled with TIE depending on glucose concentration, showed the best fit and a good ability to precisely estimate the parameters. In addition, the model calculates basal and total indices of TIE (HE b and HE tot , respectively), and provides an index of TIE sensitivity to glucose (S G HE ). Conclusion: A new physiologically based TIE model has been developed, which allows an improved quantitative description of glucose regulation. Significance: The use of the new model provides an in-depth description of insulin kinetics, thus enabling a better understanding of a given subject's metabolic state.