Feasibility study of a bio-inspired artificial pancreas in adults with type 1 diabetes.

BACKGROUND This study assesses proof of concept and safety of a novel bio-inspired artificial pancreas (BiAP) system in adults with type 1 diabetes during fasting, overnight, and postprandial conditions. In contrast to existing glucose controllers in artificial pancreas systems, the BiAP uses a control algorithm based on a mathematical model of β-cell physiology. The algorithm is implemented on a miniature silicon microchip within a portable hand-held device that interfaces the components of the artificial pancreas. MATERIALS AND METHODS In this nonrandomized open-label study each subject attended for a 6-h fasting study followed by a 13-h overnight and post-breakfast study on a separate occasion. During both study sessions the BiAP system was used, and microboluses of insulin were recommended every 5 min by the control algorithm according to subcutaneous sensor glucose levels. The primary outcome was percentage time spent in the glucose target range (3.9-10.0 mmol/L). RESULTS Twenty subjects (55% male; mean [SD] age, 44 [10] years; duration of diabetes, 22 [12] years; glycosylated hemoglobin, 7.4% [0.7%] [57 (7) mmol/mol]; body mass index, 25 [4] kg/m(2)) participated in the fasting study, and the median (interquartile range) percentage time in target range was 98.0% (90.8-100.0%). Seventeen of these subjects then participated in the overnight/postprandial study, where 70.7% (63.9-77.4%) of time was spent in the target range and, reassuringly, 0.0% (0.0-2.3%) of time was spent in hypoglycemia (<3.9 mmol/L). CONCLUSIONS The BiAP achieves safe glycemic control during fasting, overnight, and postprandial conditions.

[1]  Christofer Toumazou,et al.  Bio-Inspired Glucose Control in Diabetes Based on an Analogue Implementation of a $\beta $-Cell Model , 2014, IEEE Transactions on Biomedical Circuits and Systems.

[2]  Ahmad Haidar,et al.  Closed-Loop Basal Insulin Delivery Over 36 Hours in Adolescents With Type 1 Diabetes , 2013, Diabetes Care.

[3]  Pratik Choudhary,et al.  Normal reference range for mean tissue glucose and glycemic variability derived from continuous glucose monitoring for subjects without diabetes in different ethnic groups. , 2011, Diabetes technology & therapeutics.

[4]  Janet M. Allen,et al.  Day and Night Closed-Loop Control in AdultsWith Type 1 Diabetes A comparison of two closed-loop algorithms driving continuous subcutaneous insulin infusion versus patient self-management , 2013 .

[5]  G. Steil,et al.  Feasibility of Automating Insulin Delivery for the Treatment of Type 1 Diabetes , 2006, Diabetes.

[6]  Christofer Toumazou,et al.  A Bio-Inspired Glucose Controller Based on Pancreatic β-Cell Physiology , 2012, Journal of diabetes science and technology.

[7]  G. Steil,et al.  Modeling beta-cell insulin secretion--implications for closed-loop glucose homeostasis. , 2003, Diabetes technology & therapeutics.

[8]  G. Steil,et al.  The Artificial Pancreas: Is it Important to Understand How the β Cell Controls Blood Glucose? , 2013, Journal of diabetes science and technology.

[9]  Claudio Cobelli,et al.  Insulin release in impaired glucose tolerance: oral minimal model predicts normal sensitivity to glucose but defective response times. , 2002, Diabetes.

[10]  Claudio Cobelli,et al.  Cellular modeling: insight into oral minimal models of insulin secretion. , 2010, American journal of physiology. Endocrinology and metabolism.

[11]  Alessandro Bertuzzi,et al.  Insulin granule trafficking in beta-cells: mathematical model of glucose-induced insulin secretion. , 2007, American journal of physiology. Endocrinology and metabolism.

[12]  Howard C. Zisser,et al.  Clinical Evaluation of a Personalized Artificial Pancreas , 2013, Diabetes Care.

[13]  C. Toumazou,et al.  A 126-/spl mu/W cochlear chip for a totally implantable system , 2005, IEEE Journal of Solid-State Circuits.

[14]  Howard C. Zisser,et al.  Feasibility of Outpatient Fully Integrated Closed-Loop Control , 2013, Diabetes Care.

[15]  Christofer Toumazou,et al.  A Silicon Pancreatic Beta Cell for Diabetes , 2007, IEEE Transactions on Biomedical Circuits and Systems.

[16]  Roman Hovorka,et al.  Closed-loop insulin delivery: from bench to clinical practice , 2011, Nature Reviews Endocrinology.

[17]  C. C. Palerm,et al.  Closed-Loop Insulin Delivery Using a Subcutaneous Glucose Sensor and Intraperitoneal Insulin Delivery , 2009, Diabetes Care.

[18]  Anirban Roy,et al.  The effect of insulin feedback on closed loop glucose control. , 2011, The Journal of clinical endocrinology and metabolism.

[19]  C. Cobelli,et al.  Artificial Pancreas: Past, Present, Future , 2011, Diabetes.

[20]  Closed-Loop Insulin Delivery Using a Subcutaneous Glucose Sensor and Intra-Peritoneal Insulin Delivery: A Feasibility Study Testing a New Model for the Artificial Pancreas. Short-running title: Closed-loop intra-peritoneal insulin delivery. , 2009 .

[21]  O. Søvik,et al.  Dead-in-bed syndrome in young diabetic patients. , 1999, Diabetes care.

[22]  W. Kenneth Ward,et al.  Novel Use of Glucagon in a Closed-Loop System for Prevention of Hypoglycemia in Type 1 Diabetes , 2010, Diabetes Care.

[23]  Janet M. Allen,et al.  Day and Night Closed-Loop Control in Adults With Type 1 Diabetes , 2013, Diabetes Care.

[24]  Robert G. Sutherlin,et al.  A Bihormonal Closed-Loop Artificial Pancreas for Type 1 Diabetes , 2010, Science Translational Medicine.

[25]  E. Atlas,et al.  Nocturnal glucose control with an artificial pancreas at a diabetes camp. , 2013, The New England journal of medicine.

[26]  L. Schaupp,et al.  On‐line adaptive algorithm with glucose prediction capacity for subcutaneous closed loop control of glucose: evaluation under fasting conditions in patients with Type 1 diabetes , 2006, Diabetic medicine : a journal of the British Diabetic Association.

[27]  Ahmad Haidar,et al.  Glucose-responsive insulin and glucagon delivery (dual-hormone artificial pancreas) in adults with type 1 diabetes: a randomized crossover controlled trial , 2013, Canadian Medical Association Journal.

[28]  L. Magni,et al.  Multinational Study of Subcutaneous Model-Predictive Closed-Loop Control in Type 1 Diabetes Mellitus: Summary of the Results , 2010, Journal of diabetes science and technology.

[29]  Arthur Sherman,et al.  Identifying the targets of the amplifying pathway for insulin secretion in pancreatic beta-cells by kinetic modeling of granule exocytosis. , 2008, Biophysical journal.

[30]  Howard Zisser,et al.  Accuracy of the Enlite 6-day glucose sensor with guardian and Veo calibration algorithms. , 2012, Diabetes technology & therapeutics.