Modeling the effect of insulin-like growth factor-1 on human cell growth

被引:5
作者
Phillips, Gemma M. A. [1 ]
Shorten, Paul R. [2 ,4 ]
Wake, Graeme C. [1 ,4 ]
Guan, Jian [3 ,4 ,5 ]
机构
[1] Massey Univ Albany, Inst Nat & Math Sci, Auckland 102904, New Zealand
[2] AgResearch, Ruakura Res Ctr, Hamilton 3123, New Zealand
[3] Univ Auckland, Liggins Inst, Auckland 92019, New Zealand
[4] Univ Auckland, Gravida Natl Ctr Growth & Dev, Auckland 92019, New Zealand
[5] Univ Auckland, Ctr Brain Res, Auckland 92019, New Zealand
关键词
Simulation; Dynamic modeling; Insulin-like growth factor 1; Steady state analysis; Model testing;
D O I
10.1016/j.mbs.2014.11.002
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Insulin-like growth factor-1 (IGF-1) plays a key role in human growth and development. The interactions of IGF-1 with IGF-1 receptors and IGF-1 binding proteins (IGFBPs) regulate IGF-1 function. Recent research suggests that a metabolite of IGF-1, cyclo-glycyl-proline (cGP), has a role in regulating IGF-1 homeostasis. A component of this interaction is believed to be the competitive binding of IGF-1 and cGP to IGFBPs. In this paper we describe a mathematical model of the interaction between IGF-1 and cGP on human cell growth. The model can be used to understand the interaction between IGF-1, IGFBPs, cGP and IGF-1 receptors along with the kinetics of cell growth. An explicit model of the known interactions between IGF-1, cGP, IGFBPs, IGF-1 receptors explained a large portion of the variance in cell growth (R-2 = 0.83). An implicit model of the interactions between IGF-1, cGP, IGFBPs, IGF-1 receptors that included a hypothesized feedback of cGP on IGF-1 receptors explained nonlinear features of interaction between IGF-1 and cGP not described by the explicit model (R-2 = 0.84). The model also explained the effect of IGFBP antibody on the interaction between cGP and IGF-1 (R-2 = 0.78). This demonstrates that the competitive binding of IGF-1 and cGP to IGFBPs plays a large role in the interaction between 1GF-1 and cGP, but that other factors potentially play a role in the interaction between cGP and IGF-1. These models can be used to predict the complex interaction between IGF-1 and cGP on human cell growth and form a basis for further research in this field. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:43 / 54
页数:12
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