Literature DB >> 21163548

A new general glucose homeostatic model using a proportional-integral-derivative controller.

E M Watson1, M J Chappell, F Ducrozet, S M Poucher, J W T Yates.   

Abstract

The glucose-insulin system is a challenging process to model due to the feedback mechanisms present, hence the implementation of a model-based approach to the system is an on-going and challenging research area. A new approach is proposed here which provides an effective way of characterising glycaemic regulation. The resulting model is built on the premise that there are three phases of insulin secretion, similar to those seen in a proportional-integral-derivative (PID) type controller used in engineering control problems. The model relates these three phases to a biological understanding of the system, as well as the logical premise that the homeostatic mechanisms will maintain very tight control of the system. It includes states for insulin, glucose, insulin action and a state to simulate an integral function of glucose. Structural identifiability analysis was performed on the model to determine whether a unique set of parameter values could be identified from the available observations, which should permit meaningful conclusions to be drawn from parameter estimation. Although two parameters--glucose production rate and the proportional control coefficient--were found to be unidentifiable, the former is not a concern as this is known to be impossible to measure without a tracer experiment, and the latter can be easily estimated from other means. Subsequent parameter estimation using Intravenous Glucose Tolerance Test (IVGTT) and hyperglycaemic clamp data was performed and subsequent model simulations have shown good agreement with respect to these real data.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21163548     DOI: 10.1016/j.cmpb.2010.08.013

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  8 in total

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Journal:  ECS J Solid State Sci Technol       Date:  2015-02-18       Impact factor: 2.070

2.  Automated control of an adaptive bihormonal, dual-sensor artificial pancreas and evaluation during inpatient studies.

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Review 3.  Wherefore art thou, homeo(stasis)? Functional diversity in homeostatic synaptic plasticity.

Authors:  Bridget N Queenan; Kea Joo Lee; Daniel T S Pak
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Authors:  Robert Andersson; Tobias Kroon; Joachim Almquist; Mats Jirstrand; Nicholas D Oakes; Neil D Evans; Michael J Chappel; Johan Gabrielsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-02-21       Impact factor: 2.745

5.  Dynamical compensation and structural identifiability of biological models: Analysis, implications, and reconciliation.

Authors:  Alejandro F Villaverde; Julio R Banga
Journal:  PLoS Comput Biol       Date:  2017-11-29       Impact factor: 4.475

6.  The artificial pancreas.

Authors:  Jerry Radziuk
Journal:  Diabetes       Date:  2012-09       Impact factor: 9.461

7.  An Improved PID Algorithm Based on Insulin-on-Board Estimate for Blood Glucose Control with Type 1 Diabetes.

Authors:  Ruiqiang Hu; Chengwei Li
Journal:  Comput Math Methods Med       Date:  2015-10-05       Impact factor: 2.238

8.  A Unifying Organ Model of Pancreatic Insulin Secretion.

Authors:  Andrea De Gaetano; Claudio Gaz; Pasquale Palumbo; Simona Panunzi
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

  8 in total

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