Global Sensitivity Analysis of a Novel Signaling Network for Heart Growth With Local <scp>IGF1</scp> 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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Publication Details

Journal
International Journal for Numerical Methods in Biomedical Engineering
Published
2025-02-01
DOI
https://doi.org/10.1002/cnm.3906
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Eckhard Wolf, Michael W. Gee, Arne Hinrichs, Andreas Maier et al.
International Journal for Numerical Methods in Biomedical Engineering
Gene Regulatory Network Analysis
article

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

Eckhard Wolf, Michael W. Gee, Arne Hinrichs, Andreas Maier, Stephen M. Wildhirt, Christian Bilas, Claus Kratzer
article en

Abstract

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.

International Journal for Numerical Methods in Biomedical EngineeringVol. 41(2)
Technical University of Munich (DE), Ludwig-Maximilians-Universität München (DE)
Leibniz-Gemeinschaft, Leibniz-Rechenzentrum
Openalex Percentile: Top 98%
Gene Regulatory Network Analysis
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Global Sensitivity Analysis of a Novel Signaling Network for Heart Growth With Local <scp>IGF1</scp> Production — Eckhard Wolf, Michael W. Gee, et al. · International Journal for Numerical Methods in Biomedical Engineering (2025) | TGRS Research Map | TGRS