Biomechanical modelling infers that collagen content within peripheral nerves is a greater indicator of axial Young's modulus than structure.

IF 3 3区 医学 Q2 BIOPHYSICS Biomechanics and Modeling in Mechanobiology Pub Date : 2024-11-25 DOI:10.1007/s10237-024-01911-w
Eleanor A Doman, Nicholas C Ovenden, James B Phillips, Rebecca J Shipley
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Abstract

The mechanical behaviour of peripheral nerves is known to vary between different nerves and nerve regions. As the field of nerve tissue engineering advances, it is vital that we understand the range of mechanical regimes future nerve implants must match to prevent failure. Data on the mechanical behaviour of human peripheral nerves are difficult to obtain due to the need to conduct mechanical testing shortly after removal from the body. In this work, we adapt a 3D multiscale biomechanical model, developed using asymptotic homogenisation, to mimic the micro- and macroscale structure of a peripheral nerve. This model is then parameterised using experimental data from rat peripheral nerves and used to investigate the effect of varying the collagen content, the fibril radius and number density, and the macroscale cross-sectional geometry of the peripheral nerve on the effective axial Young's moduli of the whole nerve. Our results indicate that the total amount of collagen within a cross section has a greater effect on the axial Young's moduli compared to other measures of structure. This suggests that the amount of collagen in a cross section of a peripheral nerve, which can be measured through histological and imaging techniques, is one of the key metrics that should be recorded in the future experimental studies on the biomechanical properties of peripheral nerves.

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生物力学模型推断,外周神经中的胶原蛋白含量比结构更能说明轴向杨氏模量。
众所周知,不同神经和神经区域的外周神经的机械性能各不相同。随着神经组织工程学领域的发展,我们必须了解未来神经植入物必须符合的机械性能范围,以防止失效。由于需要在移除人体后不久进行机械测试,因此很难获得人体外周神经的机械行为数据。在这项工作中,我们利用渐近同质化技术开发了一个三维多尺度生物力学模型,以模拟外周神经的微观和宏观结构。然后利用大鼠外周神经的实验数据对该模型进行参数化,并用于研究改变胶原蛋白含量、纤维半径和数量密度以及外周神经宏观横截面几何形状对整个神经有效轴向杨氏模量的影响。我们的结果表明,与其他结构指标相比,横截面内胶原蛋白的总量对轴向杨氏模量的影响更大。这表明,周围神经横截面上的胶原蛋白量可以通过组织学和成像技术测量,是未来周围神经生物力学特性实验研究中应记录的关键指标之一。
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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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