Literature DB >> 12751831

The artificial pancreas.

Paolo Brunetti1, Marco Orsini Federici, Massimo Massi Benedetti.   

Abstract

In type 1 diabetes an absolute deficiency of insulin secretion requires exogenous insulin supply to guarantee the patient's life avoiding ketoacidotic coma and to prevent the chronic complications of diabetes. In order to obtain a more physiological replacement therapy different approaches have been pursued since the early 70s to create an artificial wearable pancreas able to deliver insulin according to the blood glucose values as determined by continuous monitoring. Four components are considered essential for the realisation of an artificial pancreas: the sampling system, the glucose sensor, the mathematical models and the related algorithms for the calculation of the insulin doses and the infusion system for the insulin delivery. At present the still unsolved issues are mainly represented by the availability of reliable continuous glucose monitor and control algorithms, while the new technologies allow for the miniaturisation of the system.

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Year:  2003        PMID: 12751831     DOI: 10.1081/bio-120020169

Source DB:  PubMed          Journal:  Artif Cells Blood Substit Immobil Biotechnol        ISSN: 1073-1199


  9 in total

1.  Retrospective study of owners' perception on home monitoring of blood glucose in diabetic dogs and cats.

Authors:  I Van de Maele; N Rogier; S Daminet
Journal:  Can Vet J       Date:  2005-08       Impact factor: 1.008

Review 2.  Application of micro- and nano-electromechanical devices to drug delivery.

Authors:  Mark Staples; Karen Daniel; Michael J Cima; Robert Langer
Journal:  Pharm Res       Date:  2006-05-05       Impact factor: 4.200

3.  Insulin fibrillation and protein design: topological resistance of single-chain analogs to thermal degradation with application to a pump reservoir.

Authors:  Nelson B Phillips; Jonathan Whittaker; Faramarz Ismail-Beigi; Michael A Weiss
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

4.  The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems.

Authors:  David J Albers; Matthew E Levine; Lena Mamykina; George Hripcsak
Journal:  Math Biosci       Date:  2019-08-24       Impact factor: 2.144

5.  Control oriented model of insulin and glucose dynamics in type 1 diabetics.

Authors:  Pier Giorgio Fabietti; Valentina Canonico; Marco Orsini Federici; Massimo Massi Benedetti; Eugenio Sarti
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

6.  Population physiology: leveraging electronic health record data to understand human endocrine dynamics.

Authors:  D J Albers; George Hripcsak; Michael Schmidt
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

7.  Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.

Authors:  D J Albers; Noémie Elhadad; E Tabak; A Perotte; George Hripcsak
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

8.  Personalized glucose forecasting for type 2 diabetes using data assimilation.

Authors:  David J Albers; Matthew Levine; Bruce Gluckman; Henry Ginsberg; George Hripcsak; Lena Mamykina
Journal:  PLoS Comput Biol       Date:  2017-04-27       Impact factor: 4.475

9.  The intriguing dose-dependent effect of selected amphiphilic compounds on insulin amyloid aggregation: Focus on a cholesterol-based detergent, Chobimalt.

Authors:  Katarina Siposova; Viktor I Petrenko; Ivana Garcarova; Dagmar Sedlakova; László Almásy; Olena A Kyzyma; Manfred Kriechbaum; Andrey Musatov
Journal:  Front Mol Biosci       Date:  2022-08-19
  9 in total

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