Literature DB >> 24759285

Advancing our understanding of the glucose system via modeling: a perspective.

Claudio Cobelli, Chiara Dalla Man, Morten Gram Pedersen, Alessandra Bertoldo, Gianna Toffolo.   

Abstract

The glucose story begins with Claude Bernard's discovery of glycogen and milieu interieur, continued with Banting's and Best's discovery of insulin and with Rudolf Schoenheimer's paradigm of dynamic body constituents. Tracers and compartmental models allowed moving to the first quantitative pictures of the system and stimulated important developments in terms of modeling methodology. Three classes of multiscale models, models to measure, models to simulate, and models to control the glucose system, are reviewed in their historical development with an eye to the future.

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Year:  2014        PMID: 24759285     DOI: 10.1109/TBME.2014.2310514

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  9 in total

1.  Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods.

Authors:  J Ignacio Hidalgo; J Manuel Colmenar; Gabriel Kronberger; Stephan M Winkler; Oscar Garnica; Juan Lanchares
Journal:  J Med Syst       Date:  2017-08-08       Impact factor: 4.460

2.  Comment on "Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials".

Authors:  Manuel Eichenlaub; M P Saccomani; John G Hattersley; Natasha A Khovanova
Journal:  J Diabetes Sci Technol       Date:  2021-10-25

3.  Clinical Impact of Blood Glucose Monitoring Accuracy: An In-Silico Study.

Authors:  Enrique Campos-Náñez; Kurt Fortwaengler; Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2017-06-01

4.  Glucose Variability: Timing, Risk Analysis, and Relationship to Hypoglycemia in Diabetes.

Authors:  Boris Kovatchev; Claudio Cobelli
Journal:  Diabetes Care       Date:  2016-04       Impact factor: 19.112

5.  Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.

Authors:  Claudio Cobelli; Chiara Dalla Man
Journal:  J Diabetes Sci Technol       Date:  2021-05-25

6.  Model-Based Quantification of the Systemic Interplay between Glucose and Fatty Acids in the Postprandial State.

Authors:  Fianne L P Sips; Elin Nyman; Martin Adiels; Peter A J Hilbers; Peter Strålfors; Natal A W van Riel; Gunnar Cedersund
Journal:  PLoS One       Date:  2015-09-10       Impact factor: 3.240

7.  A Novel Insulin/Glucose Model after a Mixed-Meal Test in Patients with Type 1 Diabetes on Insulin Pump Therapy.

Authors:  Luca Marchetti; Federico Reali; Marco Dauriz; Corinna Brangani; Linda Boselli; Giulia Ceradini; Enzo Bonora; Riccardo C Bonadonna; Corrado Priami
Journal:  Sci Rep       Date:  2016-11-08       Impact factor: 4.379

Review 8.  Mathematical Modelling of Endocrine Systems.

Authors:  Eder Zavala; Kyle C A Wedgwood; Margaritis Voliotis; Joël Tabak; Francesca Spiga; Stafford L Lightman; Krasimira Tsaneva-Atanasova
Journal:  Trends Endocrinol Metab       Date:  2019-02-21       Impact factor: 12.015

9.  Modeling the Effect of Subcutaneous Lixisenatide on Glucoregulatory Endocrine Secretions and Gastric Emptying in Type 2 Diabetes to Simulate the Effect of iGlarLixi Administration Timing on Blood Sugar Profiles.

Authors:  Thibault Gautier; Rupesh Silwal; Aramesh Saremi; Anders Boss; Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2021-05-20
  9 in total

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