Christian Bilas, Claus Kratzer, Arne Hinrichs, Andreas Maier, Stephen Wildhirt, Eckhard Wolf, Michael W. Gee
{"title":"Global Sensitivity Analysis of a Novel Signaling Network for Heart Growth With Local IGF1 Production","authors":"Christian Bilas, Claus Kratzer, Arne Hinrichs, Andreas Maier, Stephen Wildhirt, Eckhard Wolf, Michael W. Gee","doi":"10.1002/cnm.3906","DOIUrl":null,"url":null,"abstract":"<p>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.(<i>Immunity</i>, 54, 2057) and Wong et al.(<i>Immunity</i>, 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.</p>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 2","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnm.3906","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical Methods in Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cnm.3906","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
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.
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.