电场作用下骨细胞稳态和动力学的数学模型综述。

IF 5 Q1 ENGINEERING, BIOMEDICAL
Poh Soo Lee, Kiran K Sriperumbudur, Jonathan Dawson, Ursula van Rienen, Revathi Appali
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引用次数: 0

摘要

生物电在调节各种生理过程中的作用吸引了越来越多的科学兴趣,将外源性电刺激作为一种治疗方法。特别是,电刺激在临床上用于术前/术后患者对肌肉骨骼组织的护理。电场电位(EF)在体外调节骨细胞稳态和动力学的报道进一步引发了这一领域的研究。已经开发了各种定制的设备,并在骨细胞或间充质干细胞的体外研究了应用电场的一系列参数。此外,具有导电或压电特性的生物材料已被设计用于补充EF对骨再生的增强作用。尽管进行了大量的研究,但由于可获得的EF参数范围不同,知识上仍然存在很大的差距。数学模型的建立是为了促进进一步的理解和零的有效范围的EF参数在硅。然而,据报道,EF参数、实验条件和不同文献报告的分析输出的不同范围具有显着差异,这使得在计算机上准确建模该领域具有挑战性。本综述对现有的实验方法和用于区分适用于数学建模的潜在变量的参数进行了分类。此外,我们将讨论现有的建模方法和文献中可用的模型。因此,我们将简要地强调对EF参数、成骨分化启动因子和研究成果进行分类的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical models on bone cell homeostasis and kinetics in the presence of electric fields: a review.

The role of bioelectricity in regulating various physiological processes has attracted increasing scientific interest in implementing exogenous electrical stimulations as a therapeutic approach. In particular, electrical stimuli are used clinically in pre-/post-surgery patient care for the musculoskeletal tissues. The reported potential of electric fields (EF) to regulate bone cell homeostasis and kineticsin vitrohas further provoked more studies in this field of research. Various customised apparatuses have been developed, and a range of parameters for the applied EFs have been investigatedin vitrowith bone cells or mesenchymal stem cells. Additionally, biomaterials with conductive or piezo-electric properties have been designed to complement the enhancing effects of the EF on bone regeneration. Despite much research, there remained a significant gap in knowledge due to the diverse range of EF parameters available. Mathematical models are built to facilitate further understanding and zero in on an effective range of EF parametersin silico. However, the diverse range of EF parameters, experimental conditions, and reported analytical output of different works of literature were reported to possess significant variance, making it challenging to accurately model the fieldin silico. This review categorises the existing experimental approaches and the parameters used to distinguish the potential variables that apply to mathematical modelling. Furthermore, we will discuss existing modelling approaches and models available in the literature. With this, we will concisely highlight the need to categorise EF parameters, osteogenic differentiation initiators and research output.

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CiteScore
9.40
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