Using what is accessible to measure that which is not: necessity of model of system.
Understanding the in vivo functioning of endocrine-metabolic systems requires the quantitative knowledge of system parameters like production/utilization of substrales, secretion/degradation of hormones, and substrate-hormone signaling. Unfortunately, these system parameters are not directly accessible and an indirect measurement approach is needed based on a model of the system. We review first the principals of the model of system methodology focusing on compartmental and input-output modeling. Then, the model of system methodology is applied to the measurement of nonaccessible parameters/variables of the glucose system like glucose fluxes, insulin fluxes, and glucose-insulin signaling.
Cobelli
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Department of Electronics and Informatics, University of Padova, Italy.
Caumo
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D000818:Animals; D005947:Glucose / Q000378:metabolism*; D006801:Humans; D007328:Insulin / Q000378:metabolism*; D008432:Mathematical Computing; D008962:Models, Theoretical
D007328:Insulin; D005947:Glucose