Mathematical modeling of the glucose-insulin system: a review

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Standard

Mathematical modeling of the glucose-insulin system : a review. / Palumbo, Pasquale; Ditlevsen, Susanne; Bertuzzi, Alessandro; De Gaetano, Andrea .

I: Mathematical Biosciences, Bind 244, Nr. 3, 2013, s. 69-81.

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Harvard

Palumbo, P, Ditlevsen, S, Bertuzzi, A & De Gaetano, A 2013, 'Mathematical modeling of the glucose-insulin system: a review', Mathematical Biosciences, bind 244, nr. 3, s. 69-81. https://doi.org/10.1016/j.mbs.2013.05.006

APA

Palumbo, P., Ditlevsen, S., Bertuzzi, A., & De Gaetano, A. (2013). Mathematical modeling of the glucose-insulin system: a review. Mathematical Biosciences, 244(3), 69-81. https://doi.org/10.1016/j.mbs.2013.05.006

Vancouver

Palumbo P, Ditlevsen S, Bertuzzi A, De Gaetano A. Mathematical modeling of the glucose-insulin system: a review. Mathematical Biosciences. 2013;244(3):69-81. https://doi.org/10.1016/j.mbs.2013.05.006

Author

Palumbo, Pasquale ; Ditlevsen, Susanne ; Bertuzzi, Alessandro ; De Gaetano, Andrea . / Mathematical modeling of the glucose-insulin system : a review. I: Mathematical Biosciences. 2013 ; Bind 244, Nr. 3. s. 69-81.

Bibtex

@article{459325304d234bed94a4cb5525a61c4e,
title = "Mathematical modeling of the glucose-insulin system: a review",
abstract = "Mathematical modeling of the glucose–insulin feedback system is necessary to the understanding of the homeostatic control, to analyze experimental data, to identify and quantify relevant biophysical parameters, to design clinical trials and to evaluate diabetes prevention or disease modification therapies. Much work has been made over the last 30 years, and the time now seems ripe to provide a omprehensive review. The one here proposed is focused on the most important clinical/experimental tests performed to understand the mechanism of glucose homeostasis. The review proceeds from models of pancreatic insulin production, with a oarser/finer level of detail ranging over cellular and subcellular scales, to short-term organ/tissue models accounting for the intra-venous and the oral glucose tolerance tests as well as for the euglycemic hyperinsulinemic clamp, to total-body, long-term diabetes models aiming to represent disease progression in terms of b-cell population dynamics over a long period of years.",
author = "Pasquale Palumbo and Susanne Ditlevsen and Alessandro Bertuzzi and {De Gaetano}, Andrea",
year = "2013",
doi = "10.1016/j.mbs.2013.05.006",
language = "English",
volume = "244",
pages = "69--81",
journal = "Mathematical Biosciences",
issn = "0025-5564",
publisher = "Elsevier",
number = "3",

}

RIS

TY - JOUR

T1 - Mathematical modeling of the glucose-insulin system

T2 - a review

AU - Palumbo, Pasquale

AU - Ditlevsen, Susanne

AU - Bertuzzi, Alessandro

AU - De Gaetano, Andrea

PY - 2013

Y1 - 2013

N2 - Mathematical modeling of the glucose–insulin feedback system is necessary to the understanding of the homeostatic control, to analyze experimental data, to identify and quantify relevant biophysical parameters, to design clinical trials and to evaluate diabetes prevention or disease modification therapies. Much work has been made over the last 30 years, and the time now seems ripe to provide a omprehensive review. The one here proposed is focused on the most important clinical/experimental tests performed to understand the mechanism of glucose homeostasis. The review proceeds from models of pancreatic insulin production, with a oarser/finer level of detail ranging over cellular and subcellular scales, to short-term organ/tissue models accounting for the intra-venous and the oral glucose tolerance tests as well as for the euglycemic hyperinsulinemic clamp, to total-body, long-term diabetes models aiming to represent disease progression in terms of b-cell population dynamics over a long period of years.

AB - Mathematical modeling of the glucose–insulin feedback system is necessary to the understanding of the homeostatic control, to analyze experimental data, to identify and quantify relevant biophysical parameters, to design clinical trials and to evaluate diabetes prevention or disease modification therapies. Much work has been made over the last 30 years, and the time now seems ripe to provide a omprehensive review. The one here proposed is focused on the most important clinical/experimental tests performed to understand the mechanism of glucose homeostasis. The review proceeds from models of pancreatic insulin production, with a oarser/finer level of detail ranging over cellular and subcellular scales, to short-term organ/tissue models accounting for the intra-venous and the oral glucose tolerance tests as well as for the euglycemic hyperinsulinemic clamp, to total-body, long-term diabetes models aiming to represent disease progression in terms of b-cell population dynamics over a long period of years.

U2 - 10.1016/j.mbs.2013.05.006

DO - 10.1016/j.mbs.2013.05.006

M3 - Review

VL - 244

SP - 69

EP - 81

JO - Mathematical Biosciences

JF - Mathematical Biosciences

SN - 0025-5564

IS - 3

ER -

ID: 47934874