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IEEE Transactions on Biomedical Engineering
Article . 2011 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Multiscale Modeling of Insulin Secretion

Authors: PEDERSEN, MORTEN GRAM; DALLA MAN, CHIARA; COBELLI, CLAUDIO;

Multiscale Modeling of Insulin Secretion

Abstract

Insulin secretion from pancreatic beta cells is a fundamental physiological process, and its impairment plays a pivotal role in the development of diabetes. Mathematical modeling of insulin secretion has a long history, both on the level of the entire body and on the cellular and subcellular scale. However, little direct communication between these disparate scales has been included in mathematical models so far. Recently, we have proposed a minimal model for the incretin effect by which the gut hormone glucagon-like peptide 1 (GLP-1) enhances insulin secretion. To understand how this model couples to cellular events, we use a previously published mechanistic model of insulin secretion, and show mathematically that induction of glucose competence in beta cells by GLP-1 can underlie derivative control by GLP-1.

Country
Italy
Related Organizations
Keywords

Insulin-Secreting Cells, Insulin Secretion, Humans, Insulin, Models, Biological, Algorithms

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
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