Literature DB >> 24917169

A novel method for simulating insulin mediated GLUT4 translocation.

Andrew J Jezewski1, Joshua J Larson1, Beata Wysocki2, Paul H Davis1,3, Tadeusz Wysocki2.   

Abstract

Glucose transport in humans is a vital process which is tightly regulated by the endocrine system. Specifically, the insulin hormone triggers a cascade of intracellular signals in target cells mediating the uptake of glucose. Insulin signaling triggers cellular relocalization of the glucose transporter protein GLUT4 to the cell surface, which is primarily responsible for regulated glucose import. Pathology associated with the disruption of this pathway can lead to metabolic disorders, such as type II diabetes mellitus, characterized by the failure of cells to appropriately uptake glucose from the blood. We describe a novel simulation tool of the insulin intracellular response, incorporating the latest findings regarding As160 and GEF interactions. The simulation tool differs from previous computational approaches which employ algebraic or differential equations; instead, the tool incorporates statistical variations of kinetic constants and initial molecular concentrations which more accurately mimic the intracellular environment. Using this approach, we successfully recapitulate observed in vitro insulin responses, plus the effects of Wortmannin-like inhibition of the pathway. The developed tool provides insight into transient changes in molecule concentrations throughout the insulin signaling pathway, and may be employed to identify or evaluate potentially critical components of this pathway, including those associated with insulin resistance. In the future, this highly tractable platform may be useful for simulating other complex cell signaling pathways. Biotechnol. Bioeng. 2014;111: 2454-2465.
© 2014 Wiley Periodicals, Inc. © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  GLUT4; computational modeling; insulin; metabolism; queuing theory

Mesh:

Substances:

Year:  2014        PMID: 24917169      PMCID: PMC4213344          DOI: 10.1002/bit.25310

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  32 in total

1.  A mathematical model of metabolic insulin signaling pathways.

Authors:  Ahmad R Sedaghat; Arthur Sherman; Michael J Quon
Journal:  Am J Physiol Endocrinol Metab       Date:  2002-11       Impact factor: 4.310

2.  A PI3-kinase signaling code for insulin-triggered insertion of glucose transporters into the plasma membrane.

Authors:  Anders Tengholm; Tobias Meyer
Journal:  Curr Biol       Date:  2002-10-29       Impact factor: 10.834

3.  A computational model on the modulation of mitogen-activated protein kinase (MAPK) and Akt pathways in heregulin-induced ErbB signalling.

Authors:  Mariko Hatakeyama; Shuhei Kimura; Takashi Naka; Takuji Kawasaki; Noriko Yumoto; Mio Ichikawa; Jae-Hoon Kim; Kazuki Saito; Mihoro Saeki; Mikako Shirouzu; Shigeyuki Yokoyama; Akihiko Konagaya
Journal:  Biochem J       Date:  2003-07-15       Impact factor: 3.857

4.  EARLY WORK ON INSULIN.

Authors:  F G Banting
Journal:  Science       Date:  1937-06-25       Impact factor: 47.728

Review 5.  PTEN: The down side of PI 3-kinase signalling.

Authors:  Nick R Leslie; C Peter Downes
Journal:  Cell Signal       Date:  2002-04       Impact factor: 4.315

6.  Regular treadmill exercise restores cardioprotective signaling pathways in obese mice independently from improvement in associated co-morbidities.

Authors:  Sandrine Pons; Valérie Martin; Lolita Portal; Roland Zini; Didier Morin; Alain Berdeaux; Bijan Ghaleh
Journal:  J Mol Cell Cardiol       Date:  2012-11-29       Impact factor: 5.000

7.  1-Phosphatidylinositol 3-kinase activity is required for insulin-stimulated glucose transport but not for RAS activation in CHO cells.

Authors:  K Hara; K Yonezawa; H Sakaue; A Ando; K Kotani; T Kitamura; Y Kitamura; H Ueda; L Stephens; T R Jackson
Journal:  Proc Natl Acad Sci U S A       Date:  1994-08-02       Impact factor: 11.205

Review 8.  Recent developments in parameter estimation and structure identification of biochemical and genomic systems.

Authors:  I-Chun Chou; Eberhard O Voit
Journal:  Math Biosci       Date:  2009-03-25       Impact factor: 2.144

9.  Inhibition of the translocation of GLUT1 and GLUT4 in 3T3-L1 cells by the phosphatidylinositol 3-kinase inhibitor, wortmannin.

Authors:  J F Clarke; P W Young; K Yonezawa; M Kasuga; G D Holman
Journal:  Biochem J       Date:  1994-06-15       Impact factor: 3.857

Review 10.  Insulin signaling and insulin resistance.

Authors:  Elmus G Beale
Journal:  J Investig Med       Date:  2013-01       Impact factor: 2.895

View more
  3 in total

1.  Stochastic Simulation of Cellular Metabolism.

Authors:  Emalie J Clement; Thomas T Schulze; Ghada A Soliman; Beata J Wysocki; Paul H Davis; Tadeusz A Wysocki
Journal:  IEEE Access       Date:  2020-04-17       Impact factor: 3.367

2.  Crosstalk in transition: the translocation of Akt.

Authors:  Catheryn W Gray; Adelle C F Coster
Journal:  J Math Biol       Date:  2018-10-09       Impact factor: 2.259

3.  Lack of association between the insulin receptor substrates-1 Gly972Arg polymorphism and type-2 diabetes mellitus among Saudis from Eastern Saudi Arabia.

Authors:  Hawra A Alsalman; Yahia A Kaabi
Journal:  Saudi Med J       Date:  2015-12       Impact factor: 1.484

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.