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MODEL1112110004 - Silber2007_IntravenousGlucose_IntegratedGlucoseInsulinModel

 

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Reference Publication
Publication ID: 17766701
Silber HE, Jauslin PM, Frey N, Gieschke R, Simonsson US, Karlsson MO.
An integrated model for glucose and insulin regulation in healthy volunteers and type 2 diabetic patients following intravenous glucose provocations.
J Clin Pharmacol 2007 Sep; 47(9): 1159-1171
Division of Pharmacokinetics and Drug Therapy, Department of Pharmaceutical Biosciences, University of Uppsala, Sweden.  [more]
Model
Original Model: MODEL1112110004.origin
Submitter: Ishan Ajmera
Submission Date: 11 Dec 2011 21:08:40 UTC
Last Modification Date: 20 Dec 2011 16:14:24 UTC
Creation Date: 11 Dec 2011 21:14:36 UTC
Encoders:
bqbiol:isVersionOf Gene Ontology glucose homeostasis
Human Disease Ontology type 2 diabetes mellitus
bqbiol:hasTaxon Taxonomy Homo sapiens
Notes

This a model from the article:
An integrated model for glucose and insulin regulation in healthy volunteers and type 2 diabetic patients following intravenous glucose provocations.
Silber HE, Jauslin PM, Frey N, Gieschke R, Simonsson US, Karlsson MO. J Clin Pharmacol. 2007 Sep;47(9):1159-71. 17766701 ,
Abstract:
An integrated model for the regulation of glucose and insulin concentrations following intravenous glucose provocations in healthy volunteers and type 2 diabetic patients was developed. Data from 72 individuals were included. Total glucose, labeled glucose, and insulin concentrations were determined. Simultaneous analysis of all data by nonlinear mixed effect modeling was performed in NONMEM. Integrated models for glucose, labeled glucose, and insulin were developed. Control mechanisms for regulation of glucose production, insulin secretion, and glucose uptake were incorporated. Physiologically relevant differences between healthy volunteers and patients were identified in the regulation of glucose production, elimination rate of glucose, and secretion of insulin. The model was able to describe the insulin and glucose profiles well and also showed a good ability to simulate data. The features of the present model are likely to be of interest for analysis of data collected in antidiabetic drug development and for optimization of study design.

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