Special Feature

User Panel

My Panel

My Panel

Bookmark Science Articles

Recent News
Bookmark / Share This Science Site

Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control.

Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

  • Abstract Text of This Paper
  • Journal Published
  • MeSH Keywords of This Abstract
  • Chemicals and Substances Used in this Paper
  • Grants and Granting Agency of this Research
  • Database Accession Numbers Used in this Paper
  • Related Papers
  • Related Research Tags
  • Rate this Research Paper
  • Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control. Abstract Text:

    jaeyeon kimJaeyeon Kim,gerald m saidelGerald M Saidel,marco e cabreraMarco E Cabrera,

    A mathematical model of the whole-body metabolism is developed to predict fuel homeostasis during exercise by using hormonal control over cellular metabolic processes. The whole body model is composed of seven tissue compartments: brain, heart, liver, GI (gastrointestinal) tract, skeletal muscle, adipose tissue, and "other tissues". Each tissue compartment is described by dynamic mass balances and major cellular metabolic reactions. The glucagon-insulin controller is incorporated into the whole body model to predict hormonal changes during exercise. Moderate [150 W power output at 60% of peak oxygen consumption (VO(2max))] exercise for 60 min was implemented by increasing ATP utilization rates in heart and skeletal muscle. Arterial epinephrine level was given as an input function, which directly affects heart and skeletal muscle metabolism and indirectly other tissues via glucagon-insulin controller. Model simulations were validated with experimental data from human exercise studies. The exercise induced changes in hormonal signals modulated metabolic flux rates of different tissues in a coordinated way to achieve glucose homeostasis, demonstrating the efficacy of hormonal control over cellular metabolic processes. From experimental measurements of whole body glucose balance and arterial substrate concentrations, this model could predict the dynamic changes of hepatic glycogenolysis and gluconeogenesis, which are not easy to measure experimentally, suggesting the higher contribution of glycogenolysis ( approximately 75%). In addition, it could provide dynamic information on the relative contribution of carbohydrates and lipids for fuel oxidation in skeletal muscle. Model simulations indicate that external fuel supplies from other tissue/organ systems to skeletal muscle become important for prolonged exercise emphasizing the significance of interaction among tissues. In conclusion, this model can be used as a valuable complement to experimental studies due to its ability to predict what is difficult to measure directly, and usefulness to provide information about dynamic behaviors.

    Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control. Publishing Authors By Initials

    j kimJ Kim,gm saidelGM Saidel,me cabreraME Cabrera,

    For similar body regions: viscera research abstracts see: body regions: viscera research

    PUBMED ID PMID:

    MEDLINE DATE:

    Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Annals of biomedical engineering

    VOLUME: 35

    Page Numbers: 69-90

    Journal Abbreviation:

    ISSN: 0090-6964

    DAY: 17

    MONTH: 11

    YEAR: 2006

    Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 361512

    Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control. Keywords Mesh Terms:

    KEYWORDS: Viscera

    MESH TERMS: physiology

    Chemical & Substance for Abstract: Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control. Information

    Substance Name: Glucose

    Registry Number: 50-99-7

    Grant and Affiliation Information for Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control.

    AFFILIATION: Department of Biomedical Engineering, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, OH 44106, USA.

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIGMS

    GRANT: P50 GM 66309

    ACRONYM: GM

    MEDLINETA: Ann Biomed Eng

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

    Multi-scale computational model of fuel homeostasis during exercise: effect of hormonal control Related Publications

     

    Molecular Station USER Menu

    Welcome to Molecular Station!

    You have to register before you can post on our forums or use our advanced features. Register Now! Its Free and Fast!

    Already registered? Login now below.

    User Name:

    Password:

    Already registered and Forgot your password? Click below to recover it.

    Recover Lost Password

    Join now - it's fast and free!

    Molecular Station is THE largest network of researchers, scientists and science lovers anywhere!

    Research Terms of Usage and Disclaimer
    Home
    Features

    Protocols

    DNA Forum

    Science Forum

    DNA Forum
    Biology Forum

    Science News


    [CaRP] XML error: Invalid document end at line 2

    For more click here:Science News