模拟肿瘤机械力对脑实质甘液网络的影响

IF 3 3区 医学 Q2 BIOPHYSICS Biomechanics and Modeling in Mechanobiology Pub Date : 2024-09-19 DOI:10.1007/s10237-024-01890-y
Saeed Siri, Alice Burchett, Meenal Datta
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引用次数: 0

摘要

目前,人们正结合许多神经系统疾病,包括脑外伤、阿尔茨海默病和缺血性中风等,对大脑脑水系统进行研究。然而,人们对脑肿瘤对脑水肿功能的影响知之甚少。肿瘤发生和生长过程中产生的机械力可能会导致脑实质内的甘液转运途径受损,减少废物清除和脑脊液(CSF)转运。其中一种力是固体应力,即细胞过度增殖和基质过度沉积引起的生长诱导力。由于之前没有研究评估过肿瘤产生的固体应力对脑实质内的脑回流系统结构和性能的影响,因此本研究填补了这一领域的重要空白。我们利用 MATLAB Simulink 对之前开发的电子模拟模型进行了改编,该模型用于甘液运输,并在 COMSOL 中对肿瘤机械应力和应变进行了有限元分析。这样就可以模拟肿瘤机械力的产生对脑实质甘液单位(包括血管周围空间、星形胶质细胞网络、间质空间和毛细血管基底膜)内液体传输的影响。我们进行了参数分析,比较了肿瘤大小、肿瘤邻近程度、甘液亚单位比例对甘液单位所承受的应力和应变以及 CSF 流速相应降低的影响。机械应力随着与肿瘤的接近程度和肿瘤大小的增加而增强,突出表明了附近的甘泡单位易受肿瘤产生的力的影响。我们的应力和应变曲线显示了这些周围甘泡的压缩变形,并证明在肿瘤机械力的作用下,星形胶质细胞与间质间隙的相对贡献不同会对甘泡结构产生显著影响。肿瘤大小和邻近程度的增加会导致所有甘泡亚基的应力和应变增加,星形胶质细胞成分的减少也是如此。事实上,我们的模型揭示了星形胶质细胞对胶质单元组成的贡献程度与由此产生的机械应力之间的反比关系。甘泡单元机械应变的增加会降低 CSF 的静脉流出率,这取决于应变的程度和特定的甘泡亚基。例如,对毛细血管基底膜施加 20% 的机械应变并不会显著降低静脉流出率(流速降低 2%),而对星形胶质细胞网络和间质空间施加相同程度的应变则会使流出率分别降低 7% 和 22%。我们的模拟结果表明,生长中的脑肿瘤所产生的固体应力直接降低了甘液的运输,而与癌细胞的生化效应无关。了解这些病理生理学影响对于开发有针对性的干预措施以恢复大脑中有效的废物清除机制至关重要。这项研究为未来脑肿瘤相关甘油功能障碍的实验研究开辟了潜在的途径。
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Simulating the impact of tumor mechanical forces on glymphatic networks in the brain parenchyma

The brain glymphatic system is currently being explored in the context of many neurological disorders and diseases, including traumatic brain injury, Alzheimer’s disease, and ischemic stroke. However, little is known about the impact of brain tumors on glymphatic function. Mechanical forces generated during tumor development and growth may be responsible for compromised glymphatic transport pathways, reducing waste clearance and cerebrospinal fluid (CSF) transport in the brain parenchyma. One such force is solid stress, i.e., growth-induced forces from cell hyperproliferation and excess matrix deposition. Because there are no prior studies assessing the impact of tumor-derived solid stress on glymphatic system structure and performance in the brain parenchyma, this study serves to fill an important gap in the field. We adapted a previously developed Electrical Analog Model using MATLAB Simulink for glymphatic transport coupled with Finite Element Analysis for tumor mechanical stresses and strains in COMSOL. This allowed simulation of the impact of tumor mechanical force generation on fluid transport within brain parenchymal glymphatic units—which include perivascular spaces, astrocytic networks, interstitial spaces, and capillary basement membranes. We conducted a parametric analysis to compare the contributions of tumor size, tumor proximity, and ratio of glymphatic subunits to the stress and strain experienced by the glymphatic unit and corresponding reduction in flow rate of CSF. Mechanical stresses intensify with proximity to the tumor and increasing tumor size, highlighting the vulnerability of nearby glymphatic units to tumor-derived forces. Our stress and strain profiles reveal compressive deformation of these surrounding glymphatics and demonstrate that varying the relative contributions of astrocytes vs. interstitial spaces impact the resulting glymphatic structure significantly under tumor mechanical forces. Increased tumor size and proximity caused increased stress and strain across all glymphatic subunits, as does decreased astrocyte composition. Indeed, our model reveals an inverse correlation between extent of astrocyte contribution to the composition of the glymphatic unit and the resulting mechanical stress. This increased mechanical strain across the glymphatic unit decreases the venous efflux rate of CSF, dependent on the degree of strain and the specific glymphatic subunit of interest. For example, a 20% mechanical strain on capillary basement membranes does not significantly decrease venous efflux (2% decrease in flow rates), while the same magnitude of strain on astrocyte networks and interstitial spaces decreases efflux flow rates by 7% and 22%, respectively. Our simulations reveal that solid stress from growing brain tumors directly reduces glymphatic fluid transport, independently from biochemical effects from cancer cells. Understanding these pathophysiological implications is crucial for developing targeted interventions aimed at restoring effective waste clearance mechanisms in the brain. This study opens potential avenues for future experimental research in brain tumor-related glymphatic dysfunction.

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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.
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