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A Whole-Body Model for Glycogen Regulation Reveals a Critical Role for Substrate Cycling in Maintaining Blood Glucose Homeostasis

Overview of attention for article published in PLoS Computational Biology, December 2011
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Title
A Whole-Body Model for Glycogen Regulation Reveals a Critical Role for Substrate Cycling in Maintaining Blood Glucose Homeostasis
Published in
PLoS Computational Biology, December 2011
DOI 10.1371/journal.pcbi.1002272
Pubmed ID
Authors

Ke Xu, Kevin T. Morgan, Abby Todd Gehris, Timothy C. Elston, Shawn M. Gomez

Abstract

Timely, and sometimes rapid, metabolic adaptation to changes in food supply is critical for survival as an organism moves from the fasted to the fed state, and vice versa. These transitions necessitate major metabolic changes to maintain energy homeostasis as the source of blood glucose moves away from ingested carbohydrates, through hepatic glycogen stores, towards gluconeogenesis. The integration of hepatic glycogen regulation with extra-hepatic energetics is a key aspect of these adaptive mechanisms. Here we use computational modeling to explore hepatic glycogen regulation under fed and fasting conditions in the context of a whole-body model. The model was validated against previous experimental results concerning glycogen phosphorylase a (active) and glycogen synthase a dynamics. The model qualitatively reproduced physiological changes that occur during transition from the fed to the fasted state. Analysis of the model reveals a critical role for the inhibition of glycogen synthase phosphatase by glycogen phosphorylase a. This negative regulation leads to high levels of glycogen synthase activity during fasting conditions, which in turn increases substrate (futile) cycling, priming the system for a rapid response once an external source of glucose is restored. This work demonstrates that a mechanistic understanding of the design principles used by metabolic control circuits to maintain homeostasis can benefit from the incorporation of mathematical descriptions of these networks into "whole-body" contextual models that mimic in vivo conditions.

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Geographical breakdown

Country Count As %
Netherlands 1 <1%
France 1 <1%
Australia 1 <1%
Taiwan 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 99 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 22%
Researcher 20 19%
Student > Bachelor 10 10%
Professor > Associate Professor 9 9%
Student > Master 9 9%
Other 17 16%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 26%
Engineering 12 11%
Biochemistry, Genetics and Molecular Biology 11 10%
Medicine and Dentistry 11 10%
Mathematics 5 5%
Other 18 17%
Unknown 21 20%