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A computational model of FGF-2 binding and HSPG regulation under flow

  • Wensheng Shen
  • , Changjiang Zhang
  • , Michael W. Fannon
  • , Kimberly Forsten-Williams
  • , Jun Zhang

Producción científica: Articlerevisión exhaustiva

12 Citas (Scopus)

Resumen

A novel convection - diffusion - reaction model is developed to simulate fibroblast growth factor (FGF-2) binding to cell surface receptors (FGFRs) and heparan sulfate proteoglycans (HSPGs) under flow conditions within a cylindrical-shaped vessel or capillary. The model consists of a set of coupled nonlinear partial differential equations (PDEs) and a set of coupled nonlinear ordinary differential equations (ODEs). The time-dependent PDE system is discretized and solved by a second-order implicit Euler scheme using the finite volume method. The ODE system is solved by a stiff ODE solver VODE using backward differencing formulation (BDF). The transient solution of FGF-2, FGFR, HSPG, and their bound complexes for three different flow rates are computed and presented. Simulation results indicate that the model can predict growth factor transport and binding to receptors with/without the presence of heparan sulfate, as well as the effect of flow rate on growth factor-receptor binding. Our computational model may provide a useful means to investigate the impact of fluid flow on growth factor dynamics, and ultimately, signaling within the circulation.

Idioma originalEnglish
Páginas (desde-hasta)2147-2155
Número de páginas9
PublicaciónIEEE Transactions on Biomedical Engineering
Volumen56
N.º9
DOI
EstadoPublished - sept 2009

Nota bibliográfica

Funding Information:
Manuscript received October 24, 2007; revised April 22, 2008. First published July 15, 2008; current version published August 14, 2009. This research work was supported in part by the National Institutes of Health (NIH) under Grant R01-HL086644-01. Asterisk indicates corresponding author.

Financiación

Manuscript received October 24, 2007; revised April 22, 2008. First published July 15, 2008; current version published August 14, 2009. This research work was supported in part by the National Institutes of Health (NIH) under Grant R01-HL086644-01. Asterisk indicates corresponding author.

FinanciadoresNúmero del financiador
National Institutes of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)R01HL086644

    ASJC Scopus subject areas

    • Biomedical Engineering

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