Interstitial insulin kinetic parameters for a 2-compartment insulin model with saturable clearance (2012)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Mechanical Engineering
Glucose-insulin system models are commonly used for identifying insulin sensitivity, either for glycaemic control or diagnostic purposes. With physiological, 2-compartment insulin kinetics models, accurate kinetic parameter values are necessary to obtain reliable estimates of insulin sensitivity. This study combined data from 6 separate, published microdialysis studies to determine the best parameter values for the transcapillary diffusion rate (nI) and cellular insulin clearance rate (nC). The 6 studies (12 data sets) used microdialysis techniques to assay interstitial insulin concentrations simultaneously with plasma insulin concentration samples. The reported plasma insulin concentrations were used as input and interstitial insulin concentrations were simulated with the interstitial insulin kinetics sub-model. These simulated results were then compared to the reported interstitial measurements and an error value calculated as the mean absolute difference across the original measurement time points, normalised by the mean interstitial insulin concentration. The most appropriate set of parameter values was determined across the 12 data sets by combining the results.
The results of this investigation suggest that the most appropriate values for the interstitial insulin kinetic parameters are nI = nC = 0.0060 min-1. These parameter values are associated with an effective, interstitial insulin half-life t½ = 58 mins, within the range of 25-130 mins reported by others.
CitationPretty, C.G., Le Compte, A.J., Shaw, G.M., Chase, J.G. (2012) Interstitial insulin kinetic parameters for a 2-compartment insulin model with saturable clearance. Budapest, Hungary: 8th IFAC Symposium on Biological and Medical Systems (BMS12), 29-31 Aug 2012. Biological and Medical Systems, 8, 1, 230-235.
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Keywordsbiomedical system modeling; simulation and visualization; control of physiological and clinical variables;
ANZSRC Fields of Research32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
32 - Biomedical and clinical sciences::3201 - Cardiovascular medicine and haematology::320102 - Haematology
09 - Engineering::0903 - Biomedical Engineering
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