Zhu Haifeng, Hu Guohui
Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai Frontier Science Center of Mechanoinformatics, Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai University, Shanghai 200072, China.
Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai Frontier Science Center of Mechanoinformatics, Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai University, Shanghai 200072, China.
J Biomech. 2025 Aug;189:112777. doi: 10.1016/j.jbiomech.2025.112777. Epub 2025 Jun 7.
The increasing prevalence of central nervous system (CNS) disorders has imposed a significant social and economic burden on healthcare systems. The blood-brain barrier (BBB) presents a major challenge for effective drug delivery to the brain, hindering disease treatment advancements. The BBB consists of various cell types, including microvascular endothelial cells and astrocytes, with tight junctions playing a key role in regulating molecular exchange and maintaining brain homeostasis. However, current research on the mechanical properties of the BBB mainly focuses on individual cellular components or the vasculature as a whole, with limited attention to the mechanical behavior of the tight junctions between these cells. This study develops a three-dimensional (3D) mechanical model of the BBB, incorporating tight junctions as membrane structures within the vessel wall. To simulate stress distribution within the BBB, tight junctions are described by a modified standard linear solid model, while the vessel wall is depicted by the Yeoh model. Parameters of the Yeoh model are optimized using machine learning algorithms based on experimental data. Then finite element simulations are conducted to analyze the stretching process of the BBB, yielding stress distributions and stress-strain relationships that elucidate the mechanical properties of the BBB under tensile conditions. The influences of the cell membrane elastic modulus, elastic modulus of the cytoskeleton and cytoplasmic viscosity in the modified standard linear solid model on the maximum stress in the tight junction at equilibrium are intensively discussed. These findings provide theoretical insights into the understanding of CNS disorders and have potential applications in drug delivery strategies.
中枢神经系统(CNS)疾病患病率的不断上升给医疗系统带来了巨大的社会和经济负担。血脑屏障(BBB)对向大脑有效输送药物构成了重大挑战,阻碍了疾病治疗的进展。血脑屏障由多种细胞类型组成,包括微血管内皮细胞和星形胶质细胞,紧密连接在调节分子交换和维持脑内稳态方面起着关键作用。然而,目前关于血脑屏障力学特性的研究主要集中在单个细胞成分或整个脉管系统,对这些细胞之间紧密连接的力学行为关注有限。本研究建立了一个血脑屏障的三维(3D)力学模型,将紧密连接作为血管壁内的膜结构纳入其中。为了模拟血脑屏障内的应力分布,紧密连接采用修正的标准线性固体模型描述,而血管壁则由Yeoh模型描述。基于实验数据,使用机器学习算法对Yeoh模型的参数进行优化。然后进行有限元模拟,以分析血脑屏障的拉伸过程,得出应力分布和应力-应变关系,从而阐明拉伸条件下血脑屏障的力学特性。深入讨论了修正标准线性固体模型中细胞膜弹性模量、细胞骨架弹性模量和细胞质粘度对平衡时紧密连接最大应力的影响。这些发现为理解中枢神经系统疾病提供了理论见解,并在药物递送策略中具有潜在应用。