Neural cell injury pathology due to high-rate mechanical loading

Q3 Engineering Brain multiphysics Pub Date : 2021-01-01 DOI:10.1016/j.brain.2021.100034
Jonathan B. Estrada , Harry C. Cramer III , Mark T. Scimone , Selda Buyukozturk , Christian Franck
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Abstract

Successful detection and prevention of brain injuries relies on the quantitative identification of cellular injury thresholds associated with the underlying pathology. Here, by combining a recently developed inertial microcavitation rheology technique with a 3D in vitro neural tissue model, we quantify and resolve the structural pathology and critical injury strain thresholds of neural cells occurring at high loading rates such as encountered in blast, cavitation or directed energy exposures. We find that neuronal dendritic spines characterized by MAP2 displayed the lowest physical failure strain at 7.3%, whereas microtubules and filamentous actin were able to tolerate appreciably higher strains (14%) prior to injury. Interestingly, while these critical injury thresholds were similar to previous literature values reported for moderate and lower strain rates (<100 1/s), the pathology of primary injury reported here was distinctly different by being purely physical in nature as compared to biochemical activation during apoptosis or necrosis.

Statement of Significance

Mitigation and prevention of cellular injury is challenging in part due to the lack of quantitative correlation between mechanical insult and cellular pathology, especially at high deformation rates (>104 s−1) that occur in blast and directed energy related brain injury, or laser and sonic-based medical procedures. By utilizing a recently developed inertial microcavitation rheology technique for generating high-rate deformations in a 3D in vitro neural tissue model, we quantitatively correlate critical stretch, strain and stress-based injury criteria to observed cell pathology. These quantitative experimental measurements provide unprecedented new detail into the cellular pathology of neural tissues affected by high-rate injury including the first quantitative high-rate injury threshold metrics.

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高速机械负荷引起的神经细胞损伤病理学
脑损伤的成功检测和预防依赖于与潜在病理相关的细胞损伤阈值的定量识别。在这里,通过将最近开发的惯性微空化流变学技术与3D体外神经组织模型相结合,我们量化并解决了神经细胞在高加载率下发生的结构病理学和临界损伤应变阈值,例如在爆炸、空化或定向能暴露中遇到的损伤。我们发现,以MAP2为特征的神经元树突棘显示出最低的物理失效应变,为7.3%,而微管和丝状肌动蛋白在损伤前能够承受明显更高的应变(14%)。有趣的是,虽然这些临界损伤阈值与先前文献报道的中等和较低应变速率(100 1/s)相似,但与细胞凋亡或坏死期间的生化激活相比,这里报道的原发性损伤病理明显不同,纯粹是物理性质的。减轻和预防细胞损伤具有挑战性,部分原因是缺乏机械损伤与细胞病理学之间的定量相关性,特别是在爆炸和定向能相关脑损伤或激光和声波医疗程序中发生的高变形率(>104 s−1)。通过利用最近开发的惯性微空化流变学技术在3D体外神经组织模型中产生高速率变形,我们定量地将临界拉伸、应变和基于应力的损伤标准与观察到的细胞病理学相关联。这些定量实验测量为高速率损伤影响的神经组织的细胞病理学提供了前所未有的新细节,包括第一个定量高速率损伤阈值指标。
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来源期刊
Brain multiphysics
Brain multiphysics Physics and Astronomy (General), Modelling and Simulation, Neuroscience (General), Biomedical Engineering
CiteScore
4.80
自引率
0.00%
发文量
0
审稿时长
68 days
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