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.

Using what is accessible to measure that which is not : necessity of model of system / C. Cobelli, A. Caumo. - In: METABOLISM, CLINICAL AND EXPERIMENTAL. - ISSN 0026-0495. - 47:8(1998 Aug), pp. 1009-1035.

Using what is accessible to measure that which is not : necessity of model of system

A. Caumo
Ultimo
1998

Abstract

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.
animals ; humans ; mathematical computing ; glucose ; insulin ; models, theoretical
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
ago-1998
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/162929
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