MODELING IMPULSIVE INJECTIONS OF INSULIN ANALOGUES : TOWARDS ARTIFICIAL PANCREAS

We propose two novel mathematical models with impulsive injection of insulin or its analogues for type 1 and type 2 diabetes mellitus. One model incorporates with periodic impulsive injection of insulin. We analytically showed the existence and uniqueness of a positive globally asymptotically stable periodic solution for type 1 diabetes, which implies that the perturbation due to insulin injection will not disturb the homeostasis of plasma glucose concentration. We also showed that the system is uniformly permanent for type 2 diabetes, that is, the glucose concentration level is uniformly bounded above and below. The other model has the feature that determines the insulin injection by closely monitoring the glucose level when the glucose level reaches or passes a predefined but adjustable threshold value. We analytically proved the existence and stability of the order one periodic solution, which ensures that the perturbation by the injection in such an automated way can make the blood glucose concentration under control. Our numerical analyses confirm and further enhance the usefulness and robustness of our models. The first model has implications in clinic that the glucose level of a diabetic can be controlled within desired level by adjusting the values of two model parameters, injection period and injection dose. The second model is probably the first attempt to conquer some critical issues in the design of artificial pancreas with closed-loop approach. For both cases, our numerical analysis reveal that smaller but shorter insulin delivery therapy is more efficient and effective. This can be significant in design and development of insulin pump and artificial pancreas.

[1]  W. Zingg,et al.  An Artificial Endocrine Pancreas , 1974, Diabetes.

[2]  Yang Kuang,et al.  Mathematical Modeling and Qualitative Analysis of Insulin Therapies , 2022 .

[3]  James P. Keener,et al.  Mathematical physiology , 1998 .

[4]  Jaques Reifman,et al.  Update on Mathematical Modeling Research to Support the Development of Automated Insulin Delivery Systems , 2010, Journal of diabetes science and technology.

[5]  Y. Kuang,et al.  Modeling the glucose-insulin regulatory system and ultradian insulin secretory oscillations with two explicit time delays. , 2006, Journal of theoretical biology.

[6]  James D. Johnson,et al.  MATHEMATICAL MODELS OF SUBCUTANEOUS INJECTION OF INSULIN ANALOGUES: A MINI-REVIEW. , 2009, Discrete and continuous dynamical systems. Series B.

[7]  S. Mudaliar,et al.  Continuous subcutaneous insulin infusion and multiple daily injection therapy are equally effective in type 2 diabetes: a randomized, parallel-group, 24-week study. , 2003, Diabetes care.

[8]  Yang Kuang,et al.  Analysis of a Model of the Glucose-Insulin Regulatory System with Two Delays , 2007, SIAM J. Appl. Math..

[9]  Amanda M. Ackermann,et al.  Molecular regulation of pancreatic beta-cell mass development, maintenance, and expansion. , 2007, Journal of molecular endocrinology.

[10]  Pasquale Palumbo,et al.  Qualitative behaviour of a family of delay-differential models of the glucose-insulin system , 2006 .

[11]  Stuart Bennett,et al.  A History of Control Engineering 1930-1955 , 1993 .

[12]  L. Magni,et al.  Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier , 2009, Journal of diabetes science and technology.

[13]  Bruce W Bode,et al.  Insulin pump use in type 2 diabetes. , 2010, Diabetes technology & therapeutics.

[14]  Chen Lan-sun Pest Control and Geometric Theory of Semi-Continuous Dynamical System , 2011 .

[15]  Roman Hovorka,et al.  Calculating glucose fluxes during meal tolerance test: a new computational approach. , 2007, American journal of physiology. Endocrinology and metabolism.

[16]  Janis Roszler,et al.  Senior pumpers. Some seniors may benefit from pump therapy even more than young people do. , 2002, Diabetes forecast.

[17]  Yang Kuang,et al.  Systemically modeling the dynamics of plasma insulin in subcutaneous injection of insulin analogues for type 1 diabetes. , 2008, Mathematical biosciences and engineering : MBE.

[18]  Johannes D. Veldhuis,et al.  Induction of β-cell rest by a Kir6.2/SUR1-selective KATP-Channel opener preserves β-cell insulin stores and insulin secretion in human islets cultured at high (11 mM) glucose , 2004 .

[19]  Pasquale Palumbo,et al.  The range of time delay and the global stability of the equilibrium for an IVGTT model. , 2012, Mathematical biosciences.

[20]  L. Perko Differential Equations and Dynamical Systems , 1991 .

[21]  H Peter Chase,et al.  The use of insulin pumps in youth with type 1 diabetes. , 2010, Diabetes technology & therapeutics.

[22]  E. Mosekilde,et al.  Computer model for mechanisms underlying ultradian oscillations of insulin and glucose. , 1991, The American journal of physiology.

[23]  Xinyu Song,et al.  The prey-dependent consumption two-prey one-predator models with stage structure for the predator and impulsive effects. , 2006, Journal of theoretical biology.

[24]  Pasquale Palumbo,et al.  Theoretical Biology and Medical Modelling Open Access a Discrete Single Delay Model for the Intra-venous Glucose Tolerance Test , 2022 .

[25]  Yang Kuang,et al.  Enhanced modelling of the glucose–insulin system and its applications in insulin therapies , 2009, Journal of biological dynamics.

[26]  Jaques Reifman,et al.  Mathematical Modeling Research to Support the Development of Automated Insulin-Delivery Systems , 2009, Journal of diabetes science and technology.

[27]  E. Mosekilde,et al.  Modeling the insulin-glucose feedback system: the significance of pulsatile insulin secretion. , 2000, Journal of theoretical biology.

[28]  Garry M. Steil,et al.  Identification of Intraday Metabolic Profiles during Closed-Loop Glucose Control in Individuals with Type 1 Diabetes , 2009, Journal of diabetes science and technology.