Literature DB >> 20332360

Computational model of cellular metabolic dynamics: effect of insulin on glucose disposal in human skeletal muscle.

Yanjun Li1, Thomas P J Solomon, Jacob M Haus, Gerald M Saidel, Marco E Cabrera, John P Kirwan.   

Abstract

Identifying the mechanisms by which insulin regulates glucose metabolism in skeletal muscle is critical to understanding the etiology of insulin resistance and type 2 diabetes. Our knowledge of these mechanisms is limited by the difficulty of obtaining in vivo intracellular data. To quantitatively distinguish significant transport and metabolic mechanisms from limited experimental data, we developed a physiologically based, multiscale mathematical model of cellular metabolic dynamics in skeletal muscle. The model describes mass transport and metabolic processes including distinctive processes of the cytosol and mitochondria. The model simulated skeletal muscle metabolic responses to insulin corresponding to human hyperinsulinemic-euglycemic clamp studies. Insulin-mediated rate of glucose disposal was the primary model input. For model validation, simulations were compared with experimental data: intracellular metabolite concentrations and patterns of glucose disposal. Model variations were simulated to investigate three alternative mechanisms to explain insulin enhancements: Model 1 (M.1), simple mass action; M.2, insulin-mediated activation of key metabolic enzymes (i.e., hexokinase, glycogen synthase, pyruvate dehydrogenase); or M.3, parallel activation by a phenomenological insulin-mediated intracellular signal that modifies reaction rate coefficients. These simulations indicated that models M.1 and M.2 were not sufficient to explain the experimentally measured metabolic responses. However, by application of mechanism M.3, the model predicts metabolite concentration changes and glucose partitioning patterns consistent with experimental data. The reaction rate fluxes quantified by this detailed model of insulin/glucose metabolism provide information that can be used to evaluate the development of type 2 diabetes.

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Year:  2010        PMID: 20332360      PMCID: PMC2886522          DOI: 10.1152/ajpendo.00713.2009

Source DB:  PubMed          Journal:  Am J Physiol Endocrinol Metab        ISSN: 0193-1849            Impact factor:   4.310


  46 in total

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Journal:  Diabetes       Date:  1999-02       Impact factor: 9.461

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Journal:  Diabetes       Date:  1998-03       Impact factor: 9.461

Review 4.  Turning signals on and off: GLUT4 traffic in the insulin-signaling highway.

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Journal:  Physiology (Bethesda)       Date:  2005-08

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Journal:  Diabetes       Date:  1996-07       Impact factor: 9.461

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Journal:  Am J Physiol Endocrinol Metab       Date:  2004-09-21       Impact factor: 4.310

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Journal:  Am J Physiol       Date:  1999-01

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2.  Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo.

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Journal:  J Diabetes Sci Technol       Date:  2015-06-30

3.  Synergy in free radical generation is blunted by high-fat diet induced alterations in skeletal muscle mitochondrial metabolism.

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Journal:  Biophys J       Date:  2013-03-05       Impact factor: 4.033

4.  Systems mapping of metabolic genes through control theory.

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Journal:  Adv Drug Deliv Rev       Date:  2013-04-17       Impact factor: 15.470

5.  Computational Model of Cellular Metabolic Dynamics in Skeletal Muscle Fibers during Moderate Intensity Exercise.

Authors:  Yanjun Li; Nicola Lai; John P Kirwan; Gerald M Saidel
Journal:  Cell Mol Bioeng       Date:  2012-03       Impact factor: 2.321

6.  Simulation predicts IGFBP2-HIF1α interaction drives glioblastoma growth.

Authors:  Ka Wai Lin; Angela Liao; Amina A Qutub
Journal:  PLoS Comput Biol       Date:  2015-04-17       Impact factor: 4.475

7.  Mechanistic inferences on metabolic dysfunction in posttraumatic stress disorder from an integrated model and multiomic analysis: role of glucocorticoid receptor sensitivity.

Authors:  Pramod R Somvanshi; Synthia H Mellon; Janine D Flory; Duna Abu-Amara; Owen M Wolkowitz; Rachel Yehuda; Marti Jett; Leroy Hood; Charles Marmar; Francis J Doyle
Journal:  Am J Physiol Endocrinol Metab       Date:  2019-07-19       Impact factor: 4.310

8.  Computational modeling of the metabolic States regulated by the kinase akt.

Authors:  Ettore Mosca; Roberta Alfieri; Carlo Maj; Annamaria Bevilacqua; Gianfranco Canti; Luciano Milanesi
Journal:  Front Physiol       Date:  2012-11-21       Impact factor: 4.566

  8 in total

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