2001
DOI: 10.1007/s001250100639
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Quantification of beta-cell function during IVGTT in Type II and non-diabetic subjects: assessment of insulin secretion by mathematical methods

Abstract: Type II (non-insulin-dependent) diabetes mellitus is characterised by a progressive functional beta-cell defect [1±5] and a precise measurement of insulin secretion is therefore important. However, an accurate evaluation of insulin secretion involves methodological difficulties [6]. Direct measurement of plasma insulin and C-peptide concentration responses or both to beta-cell stimuli is still the most commonly used method. The kinetics of insulin and C-peptide are influenced by various factors and consequentl… Show more

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Cited by 56 publications
(38 citation statements)
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“…The state I models the measured insulin concentration in the compartment and the insulin elimination is set to k e,I = 0.355 min −1 . This value has 14 been reported for a similar study, also on type II diabetic patients [18]. By having a fixed elimination rate and ISR given from the C-peptide part of the data, the information in the insulin measurement can be used to estimate the liver extraction.…”
Section: State-estimationsupporting
confidence: 66%
See 1 more Smart Citation
“…The state I models the measured insulin concentration in the compartment and the insulin elimination is set to k e,I = 0.355 min −1 . This value has 14 been reported for a similar study, also on type II diabetic patients [18]. By having a fixed elimination rate and ISR given from the C-peptide part of the data, the information in the insulin measurement can be used to estimate the liver extraction.…”
Section: State-estimationsupporting
confidence: 66%
“…The C-peptide measurement error is assumed to be additive Gaussian white noise with variance Σ. The model states are constrained to steady state at t = 0 given an initial individually (18) and the measurement equation is simply y = C 1 + , where ∈ N (0, Σ). The ML estimated population parameters are C 0 1 , Σ, σ ISR and Ω C 0 1 and based on these an optimal estimate of ISR can be found by using the Kalman smoothing algorithm.…”
Section: Deconvolutionmentioning
confidence: 99%
“…injection of glucose at 0.3 or 0.5 g/kg showed C-peptide and insulin levels intermediate between those of pigs and monkeys. The fold increases between time 0 and 5 min and between time 0 and 15 min were (range) 2.5-3.5 and 2.1-3.0 respectively for C-peptide and 6.3-11.4 and 4.0-5.0 for insulin [24][25][26][27][28][29][30].…”
Section: Resultsmentioning
confidence: 94%
“…The reference method for clinical measurement of pre-hepatic pancreatic insulin secretion is deconvolution of plasma C-peptide concentrations using rate constants and volumes of distribution derived by two-compartment modelling of the decay of plasma C-peptide concentrations after a bolus injection of synthetic C-peptide [42,43]. In a recent methodological comparison, both the combined model and population parameter deconvolution approaches to estimating pancreatic secretion rates provided secretion measures which were consistent with those from the reference method [44]. Comparison of secretion estimates from the two methods is nevertheless problematic, given that the population parameter approach utilises regression coefficients derived from C-peptide concentrations measured at single centre and that combined model measurements depend on the relative accuracy of the C-peptide and insulin measurements.…”
Section: Discussionmentioning
confidence: 95%