Literature DB >> 19888405

Adaptive closed-loop control provides blood-glucose regulation using dual subcutaneous insulin and glucagon infusion in diabetic Swine.

Firas H El-Khatib1, John Jiang, Edward R Damiano.   

Abstract

BACKGROUND: In order to stave off deleterious complications of the disease, the ultimate task for people with diabetes is to maintain their blood glucose in euglycemic range. Despite technological advancements, conventional open-loop therapy often results in prolonged hyperglycemia and episodic hypoglycemia, in addition to necessitating carbohydrate counting, frequent glucose monitoring, and drug administration. The logical conclusion in the evolution of exogenous insulin therapy is to develop an automated closed-loop control system.
METHODS: Eleven closed-loop control experiments were conducted in four anesthetized diabetic pigs, with carbohydrate loads simulated by intravenous glucose administration through ear-vein catheters. Type 1 diabetes-like pathology was induced using intravenous administration of cytotoxin streptozotocin. The augmented model-predictive control algorithm accounts for the accumulation of subcutaneous insulin, which is critical in avoiding excessive insulin dosing.
RESULTS: Control results consistently showed successful blood-glucose regulation to euglycemic range within 80-120 minutes after intravenous glucose loads, with no incidence of hypoglycemia. This is consistent with a negative oral glucose tolerance test for diabetes and is the optimal postprandial regulation that can be achieved with subcutaneous insulin administration. Results also demonstrated the potency of subcutaneous glucagon in staving off episodic hypoglycemia and revealed efficacy of the control algorithm in coping with a twofold variation in subject weights, while simultaneously overlooking erratic blood-glucose fluctuations.
CONCLUSIONS: Using an automated adaptive glucose-control system, we show successful blood-glucose regulation in vivo and establish, definitively, the plausibility and practicality of closed-loop blood-glucose control using subcutaneous insulin and glucagon infusion in type 1 diabetes. The control system strikes an intricate balance between tight blood-glucose control and optimal drug consumption, while simultaneously maintaining emphasis on simplicity and reliability.

Entities:  

Keywords:  counterregulatory hormone; hyperglycemia; hypoglycemia; in vivo; infusion pump; predictive control; swine

Year:  2007        PMID: 19888405      PMCID: PMC2771467          DOI: 10.1177/193229680700100208

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  28 in total

1.  Novel control system for blood glucose using a model predictive method.

Authors:  S Kan; H Onodera; E Furutani; T Aung; M Araki; H Nishimura; S Maetani; M Imamura
Journal:  ASAIO J       Date:  2000 Nov-Dec       Impact factor: 2.872

Review 2.  The intravenous route to blood glucose control.

Authors:  R S Parker; F J Doyle; N A Peppas
Journal:  IEEE Eng Med Biol Mag       Date:  2001 Jan-Feb

3.  A model-based algorithm for blood glucose control in type I diabetic patients.

Authors:  R S Parker; F J Doyle; N A Peppas
Journal:  IEEE Trans Biomed Eng       Date:  1999-02       Impact factor: 4.538

4.  Pharmacokinetics of the rapid-acting insulin analog, insulin aspart, in rats, dogs, and pigs, and pharmacodynamics of insulin aspart in pigs.

Authors:  A Plum; H Agerso; L Andersen
Journal:  Drug Metab Dispos       Date:  2000-02       Impact factor: 3.922

5.  Optimal insulin infusion resulting from a mathematical model of blood glucose dynamics.

Authors:  M E Fisher; K L Teo
Journal:  IEEE Trans Biomed Eng       Date:  1989-04       Impact factor: 4.538

6.  Adaptive control of the human glucose-regulatory system.

Authors:  B Pagurek; J S Riordon; S Mahmoud
Journal:  Med Biol Eng       Date:  1972-11

7.  An adaptive plasma glucose controller based on a nonlinear insulin/glucose model.

Authors:  B Candas; J Radziuk
Journal:  IEEE Trans Biomed Eng       Date:  1994-02       Impact factor: 4.538

8.  A practical approach to hyperglycemia management in the intensive care unit: evaluation of an intensive insulin infusion protocol.

Authors:  Jennifer A Quinn; Stacy L Snyder; Jennifer L Berghoff; Claudia S Colombo; Judith Jacobi
Journal:  Pharmacotherapy       Date:  2006-10       Impact factor: 4.705

9.  Diabetes-induced accelerated atherosclerosis in swine.

Authors:  R G Gerrity; R Natarajan; J L Nadler; T Kimsey
Journal:  Diabetes       Date:  2001-07       Impact factor: 9.461

Review 10.  The challenge of type 1 diabetes mellitus.

Authors:  Larissa Eiselein; Henry J Schwartz; John C Rutledge
Journal:  ILAR J       Date:  2004
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  39 in total

Review 1.  The future of open- and closed-loop insulin delivery systems.

Authors:  Terry G Farmer; Thomas F Edgar; Nicholas A Peppas
Journal:  J Pharm Pharmacol       Date:  2008-01       Impact factor: 3.765

2.  Algorithms for a closed-loop artificial pancreas: the case for model predictive control.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

3.  Capabilities of Next-Generation Patch Pump: Improved Precision, Instant Occlusion Detection, and Dual-Hormone Therapy.

Authors:  Forrest W Payne; Bradley Ledden; Greg Lamps
Journal:  J Diabetes Sci Technol       Date:  2018-05-24

4.  A closed-loop artificial pancreas using model predictive control and a sliding meal size estimator.

Authors:  Hyunjin Lee; Bruce A Buckingham; Darrell M Wilson; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

5.  A closed-loop artificial pancreas based on risk management.

Authors:  Fraser Cameron; B Wayne Bequette; Darrell M Wilson; Bruce A Buckingham; Hyunjin Lee; Günter Niemeyer
Journal:  J Diabetes Sci Technol       Date:  2011-03-01

6.  Engineering Synthetically Modified Insulin for Glucose-Responsive Diabetes Therapy.

Authors:  Matthew J Webber; Daniel G Anderson; Robert Langer
Journal:  Expert Rev Endocrinol Metab       Date:  2015-07-18

7.  Adaptive Zone Model Predictive Control of Artificial Pancreas Based on Glucose- and Velocity-Dependent Control Penalties.

Authors:  Dawei Shi; Eyal Dassau; Francis J Doyle
Journal:  IEEE Trans Biomed Eng       Date:  2018-08-21       Impact factor: 4.538

8.  Real-time state estimation and long-term model adaptation: a two-sided approach toward personalized diagnosis of glucose and insulin levels.

Authors:  Claudia Eberle; Christoph Ament
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

9.  Novel use of glucagon in a closed-loop system for prevention of hypoglycemia in type 1 diabetes.

Authors:  Jessica R Castle; Julia M Engle; Joseph El Youssef; Ryan G Massoud; Kevin C J Yuen; Ryland Kagan; W Kenneth Ward
Journal:  Diabetes Care       Date:  2010-03-23       Impact factor: 17.152

10.  Aspects of insulin treatment.

Authors:  Zachary T Bloomgarden
Journal:  Diabetes Care       Date:  2010-01       Impact factor: 19.112

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