系统模拟肿瘤细胞对时变旋转磁场的侵袭和迁移。

IF 3 3区 医学 Q2 BIOPHYSICS
Shilong Zhang, Tongyao Yu, Ge Zhang, Ming Chen, Dachuan Yin, Chenyan Zhang
{"title":"系统模拟肿瘤细胞对时变旋转磁场的侵袭和迁移。","authors":"Shilong Zhang,&nbsp;Tongyao Yu,&nbsp;Ge Zhang,&nbsp;Ming Chen,&nbsp;Dachuan Yin,&nbsp;Chenyan Zhang","doi":"10.1007/s10237-024-01858-y","DOIUrl":null,"url":null,"abstract":"<div><p>Cancer invasion and migration play a pivotal role in tumor malignancy, which is a major cause of most cancer deaths. Rotating magnetic field (RMF), one of the typical dynamic magnetic fields, can exert substantial mechanical influence on cells. However, studying the effects of RMF on cell is challenging due to its complex parameters, such as variation of magnetic field intensity and direction. Here, we developed a systematic simulation method to explore the influence of RMF on tumor invasion and migration, including a finite element method (FEM) model and a cell-based hybrid numerical model. Coupling with the data of magnetic field from FEM, the cell-based hybrid numerical model was established to simulate the tumor cell invasion and migration. This model employed partial differential equations (PDEs) and finite difference method to depict cellular activities and solve these equations in a discrete system. PDEs were used to depict cell activities, and finite difference method was used to solve the equations in discrete system. As a result, this study provides valuable insights into the potential applications of RMF in tumor treatment, and a series of in vitro experiments were performed to verify the simulation results, demonstrating the model's reliability and its capacity to predict experimental outcomes and identify pertinent factors. Furthermore, these findings shed new light on the mechanical and chemical interplay between cells and the ECM, offering new insights and providing a novel foundation for both experimental and theoretical advancements in tumor treatment by using RMF.</p></div>","PeriodicalId":489,"journal":{"name":"Biomechanics and Modeling in Mechanobiology","volume":"23 5","pages":"1617 - 1630"},"PeriodicalIF":3.0000,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systematic simulation of tumor cell invasion and migration in response to time-varying rotating magnetic field\",\"authors\":\"Shilong Zhang,&nbsp;Tongyao Yu,&nbsp;Ge Zhang,&nbsp;Ming Chen,&nbsp;Dachuan Yin,&nbsp;Chenyan Zhang\",\"doi\":\"10.1007/s10237-024-01858-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Cancer invasion and migration play a pivotal role in tumor malignancy, which is a major cause of most cancer deaths. Rotating magnetic field (RMF), one of the typical dynamic magnetic fields, can exert substantial mechanical influence on cells. However, studying the effects of RMF on cell is challenging due to its complex parameters, such as variation of magnetic field intensity and direction. Here, we developed a systematic simulation method to explore the influence of RMF on tumor invasion and migration, including a finite element method (FEM) model and a cell-based hybrid numerical model. Coupling with the data of magnetic field from FEM, the cell-based hybrid numerical model was established to simulate the tumor cell invasion and migration. This model employed partial differential equations (PDEs) and finite difference method to depict cellular activities and solve these equations in a discrete system. PDEs were used to depict cell activities, and finite difference method was used to solve the equations in discrete system. As a result, this study provides valuable insights into the potential applications of RMF in tumor treatment, and a series of in vitro experiments were performed to verify the simulation results, demonstrating the model's reliability and its capacity to predict experimental outcomes and identify pertinent factors. Furthermore, these findings shed new light on the mechanical and chemical interplay between cells and the ECM, offering new insights and providing a novel foundation for both experimental and theoretical advancements in tumor treatment by using RMF.</p></div>\",\"PeriodicalId\":489,\"journal\":{\"name\":\"Biomechanics and Modeling in Mechanobiology\",\"volume\":\"23 5\",\"pages\":\"1617 - 1630\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomechanics and Modeling in Mechanobiology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10237-024-01858-y\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomechanics and Modeling in Mechanobiology","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10237-024-01858-y","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

癌症侵袭和迁移在肿瘤恶性发展中起着举足轻重的作用,是大多数癌症死亡的主要原因。旋转磁场(RMF)是典型的动态磁场之一,能对细胞产生巨大的机械影响。然而,由于磁场强度和方向的变化等复杂参数,研究磁场对细胞的影响具有挑战性。在此,我们开发了一种系统的模拟方法来探讨磁场对肿瘤侵袭和迁移的影响,包括有限元法(FEM)模型和基于细胞的混合数值模型。结合有限元法得出的磁场数据,建立了基于细胞的混合数值模型来模拟肿瘤细胞的侵袭和迁移。该模型采用偏微分方程(PDE)和有限差分法来描述细胞活动,并在离散系统中求解这些方程。偏微分方程用于描述细胞活动,有限差分法用于求解离散系统中的方程。因此,这项研究为 RMF 在肿瘤治疗中的潜在应用提供了宝贵的见解,并进行了一系列体外实验来验证模拟结果,证明了该模型的可靠性及其预测实验结果和识别相关因素的能力。此外,这些发现为细胞与 ECM 之间的机械和化学相互作用提供了新的视角,为利用 RMF 治疗肿瘤的实验和理论研究提供了新的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Systematic simulation of tumor cell invasion and migration in response to time-varying rotating magnetic field

Systematic simulation of tumor cell invasion and migration in response to time-varying rotating magnetic field

Cancer invasion and migration play a pivotal role in tumor malignancy, which is a major cause of most cancer deaths. Rotating magnetic field (RMF), one of the typical dynamic magnetic fields, can exert substantial mechanical influence on cells. However, studying the effects of RMF on cell is challenging due to its complex parameters, such as variation of magnetic field intensity and direction. Here, we developed a systematic simulation method to explore the influence of RMF on tumor invasion and migration, including a finite element method (FEM) model and a cell-based hybrid numerical model. Coupling with the data of magnetic field from FEM, the cell-based hybrid numerical model was established to simulate the tumor cell invasion and migration. This model employed partial differential equations (PDEs) and finite difference method to depict cellular activities and solve these equations in a discrete system. PDEs were used to depict cell activities, and finite difference method was used to solve the equations in discrete system. As a result, this study provides valuable insights into the potential applications of RMF in tumor treatment, and a series of in vitro experiments were performed to verify the simulation results, demonstrating the model's reliability and its capacity to predict experimental outcomes and identify pertinent factors. Furthermore, these findings shed new light on the mechanical and chemical interplay between cells and the ECM, offering new insights and providing a novel foundation for both experimental and theoretical advancements in tumor treatment by using RMF.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biomechanics and Modeling in Mechanobiology
Biomechanics and Modeling in Mechanobiology 工程技术-工程:生物医学
CiteScore
7.10
自引率
8.60%
发文量
119
审稿时长
6 months
期刊介绍: Mechanics regulates biological processes at the molecular, cellular, tissue, organ, and organism levels. A goal of this journal is to promote basic and applied research that integrates the expanding knowledge-bases in the allied fields of biomechanics and mechanobiology. Approaches may be experimental, theoretical, or computational; they may address phenomena at the nano, micro, or macrolevels. Of particular interest are investigations that (1) quantify the mechanical environment in which cells and matrix function in health, disease, or injury, (2) identify and quantify mechanosensitive responses and their mechanisms, (3) detail inter-relations between mechanics and biological processes such as growth, remodeling, adaptation, and repair, and (4) report discoveries that advance therapeutic and diagnostic procedures. Especially encouraged are analytical and computational models based on solid mechanics, fluid mechanics, or thermomechanics, and their interactions; also encouraged are reports of new experimental methods that expand measurement capabilities and new mathematical methods that facilitate analysis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信