Numerical solution of inverse problem for secretion and kinetics of C-peptide model

S. Kabanikhin, D. Voronov, O. Krivorotko, A. Y. Belonog, A. Ilyin
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Abstract

The minimal model of insulin secretion based on C-peptide data (Toffolo et al., 1995) is presented in this report. The secretion model is identified on C-peptide taken in plasma; it must be integrated into a model of whole-body C-peptide kinetics. The kinetic model is the one proposed by (Eaton et al., 1980) and consists of 2 compartments. Compartment 1, accessible to measurement, represents plasma and rapidly equilibrating tissues, whereas compartment 2 represents tissues in slow exchange with plasma. This model allows estimating distribution of insulin in the blood and tissues. A new iterative algorithm for finding kinetic constants and secretion parameters is proposed. Numerical solution of inverse problem was obtained by using synthetic data. Different levels of noise were added to such data. The question of initial approximation is covered in this talk).
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c肽分泌逆问题的数值解及动力学模型
本报告提出了基于c肽数据的胰岛素分泌最小模型(Toffolo et al., 1995)。通过血浆c肽测定,确定了c肽的分泌模式;它必须整合到一个全身c肽动力学模型中。动力学模型由(Eaton et al., 1980)提出,由2个隔室组成。可测量的室1代表等离子体和快速平衡组织,而室2代表与等离子体缓慢交换的组织。这个模型可以估计胰岛素在血液和组织中的分布。提出了一种新的求解动力学常数和分泌参数的迭代算法。利用合成数据得到了反问题的数值解。这些数据中加入了不同程度的噪声。初值近似的问题将在本次演讲中讨论。
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