局部产生IGF1的心脏生长新信号网络的全局敏感性分析

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Christian Bilas, Claus Kratzer, Arne Hinrichs, Andreas Maier, Stephen Wildhirt, Eckhard Wolf, Michael W. Gee
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引用次数: 0

摘要

信号网络可以用来描述调节心脏生长的激素和机械因素的动态相互作用。然而,由于信号网络的复杂性和非线性行为,对其进行定性分析往往是困难的。在这项工作中,进行了信号网络的全局敏感性分析,以确定在一系列模型输入中影响心脏生长的最重要因素。此外,正如Zaman等人(Immunity, 54,2057)和Wong等人(Immunity, 54,2072)最近所描述的那样,在高机械拉伸时,局部产生激素胰岛素样生长因子1 (IGF1)。计算结果表明,这明显增加了机械拉伸对心脏生长的影响。进一步的关键影响因素是激素去甲肾上腺素(NE)、血管紧张素II (AngII)和全球产生的IGF1 (g-IGF1)。我们的敏感性分析表明,在心脏生长的信号网络中,必须考虑局部IGF1 (l-IGF1)产生的新因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Global Sensitivity Analysis of a Novel Signaling Network for Heart Growth With Local IGF1 Production

Global Sensitivity Analysis of a Novel Signaling Network for Heart Growth With Local IGF1 Production

Signaling networks can be used to describe the dynamic interplay of hormonal and mechanical factors that regulate heart growth. However, a qualitative analysis of signaling networks is often difficult due to their complexity and nonlinear behavior. In this work, a global sensitivity analysis of signaling networks is conducted to determine the most influential factors for heart growth over a range of model inputs. Furthermore, the local production of the hormone insulin-like growth factor 1 (IGF1) in response to high mechanical stretches as recently described by Zaman et al.(Immunity, 54, 2057) and Wong et al.(Immunity, 54, 2072) is incorporated. The computational results show that this increases the influence of mechanical stretch on heart growth significantly. Further key influential factors are the hormones norepinephrine (NE), angiotensin II (AngII), and globally produced IGF1 (g-IGF1). Our sensitivity analysis indicates that the novel consideration of local IGF1 (l-IGF1) production has to be considered in signaling networks for heart growth.

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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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