Literature DB >> 1662910

Exercise-induced translocation of skeletal muscle glucose transporters.

L J Goodyear1, M F Hirshman, E S Horton.   

Abstract

Skeletal muscle contractile activity results in increased rates of glucose transport that are associated with an increase in the number and activity of plasma membrane glucose transporters. In the current study it was determined whether exercise causes a translocation of glucose transporters from an intracellular pool to the plasma membrane and whether exercise and insulin stimulate the same glucose transporter protein. Plasma membrane glucose transporter number, measured by cytochalasin B binding, increased from 10.1 +/- 0.73 to 15.0 +/- 1.4 pmol/mg protein (P less than 0.01) in muscle of exercised rats, whereas microsomal membrane transporters decreased significantly from 6.0 +/- 0.7 to 4.2 +/- 0.4 pmol/mg protein (P less than 0.05). Western blot analysis using the monoclonal antibody mAb 1F8 (specific for GLUT-4) demonstrated a 45% increase in plasma membrane GLUT-4 from exercised skeletal muscle compared with controls, whereas microsomal membranes from the exercised muscle had a concomitant 25% decrease in GLUT-4 protein. These data suggest that exercise recruits transporters to the plasma membrane from an intracellular microsomal pool, similar to the translocation of transporters that occurs with insulin stimulation. Furthermore, both exercise and insulin stimulate the translocation of GLUT-4 in skeletal muscle, while GLUT-1 is not altered.

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Year:  1991        PMID: 1662910     DOI: 10.1152/ajpendo.1991.261.6.E795

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  30 in total

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2.  Physical activity measured by physical activity monitoring system correlates with glucose trends reconstructed from continuous glucose monitoring.

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3.  Physical activity-the major unaccounted impediment to closed loop control.

Authors:  Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2008-01

4.  Diverse effects of Glut 4 ablation on glucose uptake and glycogen synthesis in red and white skeletal muscle.

Authors:  A E Stenbit; R Burcelin; E B Katz; T S Tsao; N Gautier; M J Charron; Y Le Marchand-Brustel
Journal:  J Clin Invest       Date:  1996-08-01       Impact factor: 14.808

Review 5.  Reciprocal regulation of endocytosis and metabolism.

Authors:  Costin N Antonescu; Timothy E McGraw; Amira Klip
Journal:  Cold Spring Harb Perspect Biol       Date:  2014-07-01       Impact factor: 10.005

6.  Muscle injury, impaired muscle function and insulin resistance in Chromogranin A-knockout mice.

Authors:  Kechun Tang; Teresa Pasqua; Angshuman Biswas; Sumana Mahata; Jennifer Tang; Alisa Tang; Gautam K Bandyopadhyay; Amiya P Sinha-Hikim; Nai-Wen Chi; Nicholas J G Webster; Angelo Corti; Sushil K Mahata
Journal:  J Endocrinol       Date:  2016-10-31       Impact factor: 4.286

7.  Passive stretching produces Akt- and MAPK-dependent augmentations of GLUT4 translocation and glucose uptake in skeletal muscles of mice.

Authors:  Yoshihiko Ito; Kazuo Obara; Rikuko Ikeda; Megumi Ishii; Yoshiyuki Tanabe; Tomohisa Ishikawa; Koichi Nakayama
Journal:  Pflugers Arch       Date:  2005-10-22       Impact factor: 3.657

8.  Kinetics of contraction-induced GLUT4 translocation in skeletal muscle fibers from living mice.

Authors:  Hans P M M Lauritzen; Henrik Galbo; Taro Toyoda; Laurie J Goodyear
Journal:  Diabetes       Date:  2010-07-09       Impact factor: 9.461

9.  Peroxisome proliferator-activated receptor-gamma agonist improves skeletal muscle insulin signaling in the pregestational intrauterine growth-restricted rat offspring.

Authors:  Shilpa Oak; Cang Tran; Maria-Olivia Castillo; Shanthie Thamotharan; Manikkavasagar Thamotharan; Sherin U Devaskar
Journal:  Am J Physiol Endocrinol Metab       Date:  2009-06-02       Impact factor: 4.310

Review 10.  Preventing and managing cardiometabolic risk: the logic for intervention.

Authors:  Mark A Pereira; Thomas E Kottke; Courtney Jordan; Patrick J O'Connor; Nicolaas P Pronk; Rita Carreón
Journal:  Int J Environ Res Public Health       Date:  2009-09-30       Impact factor: 3.390

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