Literature DB >> 19888383

The artificial pancreas: how sweet engineering will solve bitter problems.

David C Klonoff1.   

Abstract

An artificial pancreas is a closed-loop system containing only synthetic materials which substitutes for an endocrine pancreas. No artificial pancreas system is currently approved; however, devices that could become components of such a system are now becoming commercially available. An artificial pancreas will consist of functionally integrated components that will continuously sense glucose levels, determine appropriate insulin dosages, and deliver the insulin. Any proposed closed loop system will be closely scrutinized for its safety, efficacy, and economic impact. Closed loop control utilizes models of glucose homeostasis which account for the influences of feeding, stress, insulin, exercise, and other factors on blood glucose levels. Models are necessary for understanding the relationship between blood glucose levels and insulin dosing; developing algorithms to control insulin dosing; and customizing each user's system based on individual responses to factors that influence glycemia. Components of an artificial pancreas are now being developed, including continuous glucose sensors; insulin pumps for parenteral delivery; and control software, all linked through wireless communication systems. Although a closed-loop system providing glucagon has not been reported in 40 years, the use of glucagon to prevent hypoglycemia is physiologically attractive and future devices might utilize this hormone. No demonstration of long-term closed loop control of glucose in a free-living human with diabetes has been reported to date, but many centers around the world are working on closed loop control systems. It is expected that many types of artificial pancreas systems will eventually be available, and they will greatly benefit patients with diabetes.

Entities:  

Keywords:  artificial; closed-loop; control; diabetes; glucose; pancreas

Year:  2007        PMID: 19888383      PMCID: PMC2769610          DOI: 10.1177/193229680700100112

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


  79 in total

Review 1.  Continuous glucose monitoring: roadmap for 21st century diabetes therapy.

Authors:  David C Klonoff
Journal:  Diabetes Care       Date:  2005-05       Impact factor: 19.112

Review 2.  Drug/device combinations for local drug therapies and infection prophylaxis.

Authors:  Peng Wu; David W Grainger
Journal:  Biomaterials       Date:  2005-12-06       Impact factor: 12.479

Review 3.  Future developments in insulin pump therapy: progression from continuous subcutaneous insulin infusion to a sensor-pump system.

Authors:  Lynda K Fisher; Mary Halvorson
Journal:  Diabetes Educ       Date:  2006 Jan-Feb       Impact factor: 2.140

Review 4.  Continuous glucose monitoring and closed-loop systems.

Authors:  R Hovorka
Journal:  Diabet Med       Date:  2006-01       Impact factor: 4.359

5.  Importance of insulin secretion based on the rate of change in blood glucose concentration in glucose tolerance, assessed by the artificial beta cell.

Authors:  R Kawamori; M Shichiri; Y Goriya; Y Yamasaki; Y Shigeta; H Abe
Journal:  Acta Endocrinol (Copenh)       Date:  1978-02

Review 6.  Recent advances in continuous glucose monitoring.

Authors:  G Freckmann; B Kalatz; B Pfeiffer; U Hoss; C Haug
Journal:  Exp Clin Endocrinol Diabetes       Date:  2001       Impact factor: 2.949

7.  The extended Kalman filter for continuous glucose monitoring.

Authors:  Edward J Knobbe; Bruce Buckingham
Journal:  Diabetes Technol Ther       Date:  2005-02       Impact factor: 6.118

8.  Interstitial glucose kinetics in subjects with type 1 diabetes under physiologic conditions.

Authors:  Malgorzata E Wilinska; Manfred Bodenlenz; Ludovic J Chassin; Helga C Schaller; Lukas A Schaupp; Thomas R Pieber; Roman Hovorka
Journal:  Metabolism       Date:  2004-11       Impact factor: 8.694

9.  Experience with the Biostator for diagnosis and assisted surgery of 21 insulinomas.

Authors:  H Gin; B Catargi; V Rigalleau; E Rullier; P Roger; A Tabarin
Journal:  Eur J Endocrinol       Date:  1998-10       Impact factor: 6.664

10.  Evaluation of insulin sensitivity and beta-cell function indexes obtained from minimal model analysis of a meal tolerance test.

Authors:  Garry M Steil; Chi-min Hwu; Robert Janowski; Farzam Hariri; Sujata Jinagouda; Christine Darwin; Sameh Tadros; Kerstin Rebrin; Mohammed F Saad
Journal:  Diabetes       Date:  2004-05       Impact factor: 9.461

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  25 in total

1.  Report from IPITA-TTS Opinion Leaders Meeting on the Future of β-Cell Replacement.

Authors:  Stephen T Bartlett; James F Markmann; Paul Johnson; Olle Korsgren; Bernhard J Hering; David Scharp; Thomas W H Kay; Jonathan Bromberg; Jon S Odorico; Gordon C Weir; Nancy Bridges; Raja Kandaswamy; Peter Stock; Peter Friend; Mitsukazu Gotoh; David K C Cooper; Chung-Gyu Park; Phillip OʼConnell; Cherie Stabler; Shinichi Matsumoto; Barbara Ludwig; Pratik Choudhary; Boris Kovatchev; Michael R Rickels; Megan Sykes; Kathryn Wood; Kristy Kraemer; Albert Hwa; Edward Stanley; Camillo Ricordi; Mark Zimmerman; Julia Greenstein; Eduard Montanya; Timo Otonkoski
Journal:  Transplantation       Date:  2016-02       Impact factor: 4.939

2.  Peculiarities of the continuous glucose monitoring data stream and their impact on developing closed-loop control technology.

Authors:  Boris Kovatchev; William Clarke
Journal:  J Diabetes Sci Technol       Date:  2008-01

3.  Personalized medicine for diabetes.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2008-05

4.  Smart sensors for maintaining physiologic homeostasis.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

5.  Technology to treat hyperglycemia in trauma.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2007-03

6.  Analysis of the Accuracy and Performance of a Continuous Glucose Monitoring Sensor Prototype: An In-Silico Study Using the UVA/PADOVA Type 1 Diabetes Simulator.

Authors:  Marc D Breton; Rolf Hinzmann; Enrique Campos-Nañez; Susan Riddle; Michael Schoemaker; Guenther Schmelzeisen-Redeker
Journal:  J Diabetes Sci Technol       Date:  2016-12-13

7.  In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.

Authors:  Boris P Kovatchev; Marc Breton; Chiara Dalla Man; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2009-01

8.  Model predictive control of type 1 diabetes: an in silico trial.

Authors:  Lalo Magni; Davide M Raimondo; Luca Bossi; Chiara Dalla Man; Giuseppe De Nicolao; Boris Kovatchev; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2007-11

9.  The next generation of artificial pancreas control algorithms.

Authors:  Rodrigo E Teixeira; Stephen Malin
Journal:  J Diabetes Sci Technol       Date:  2008-01

Review 10.  Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.

Authors:  Miriam Hoekstra; Mathijs Vogelzang; Evgeny Verbitskiy; Maarten W N Nijsten
Journal:  Crit Care       Date:  2009-10-16       Impact factor: 9.097

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