Fibrin fiber deformation mechanisms: insights from phenomenological modeling to molecular details

IF 3 3区 医学 Q2 BIOPHYSICS
Nicholas Filla, Yiping Zhao, Xianqiao Wang
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引用次数: 1

Abstract

The deformation mechanism of fibrin fibers has been a long-standing challenge to uncover due to the fiber’s complex structure and mechanical behaviors. In this paper, a phenomenological, bilinear, force-strain model is derived to accurately reproduce the fibrin fiber force-strain curve, and then, the phenomenological model is converted to a mechanistic model using empirical relationships developed from particle simulation data. The mechanistic model assumes that the initial linear fibrin fiber force-strain response is due to entropic extension of polypeptide chains, and the final linear response is due to enthalpic extension of protofibrils. This model is the first fibrin fiber tensile force-strain equation to simultaneously (1) reproduce the bilinear force-strain curve of fibrin fibers in tension; (2) explicitly include the number of protofibrils through the fibrin fiber cross section, persistence length of \(\mathrm{\alpha C}\)-regions, and stiffness of fibrin protofibrils; and (3) make demonstrably reasonable/accurate predictions of fibrin fiber mechanics when tempered against experimental results. The model predicted that the count of protofibrils through the cross section for the analyzed fibrin fibers is between 207 and 421, the persistence length of \(\alpha C\)-regions is \(\sim 0.36 \mathrm{nm}\), and the stiffness of protofibrils in a deforming fiber is \(\sim 1.34 nN/\mathrm{strain}\). The predicted \(\alpha C\)-region persistence length is within the range typical of amino acid residue lengths \(0.34-0.4 \mathrm{nm},\) and the predicted protofibril stiffness is shown to correspond to half-staggered protofibrils of unfolded fibrin monomers. Our analysis supports the proposition that entropic extension of \(\alpha C\)-regions could be responsible for fibrin fiber’s initial force-strain stiffness and suggests a structural change in fibrin protofibrils during fibrin fiber deformation. The results from the model are compared to those from five candidate deformation mechanisms reported in the literature. Our work provides (1) strong quantitative support to a deformation mechanism that was previously supported by anecdote and qualitative argument, and (2) a model for rigorously analyzing fibrin fiber force-strain data and simulating fibrin fibers in tension.

纤维蛋白纤维变形机制:从现象学建模到分子细节的见解
由于纤维蛋白纤维具有复杂的结构和力学行为,其变形机理一直是研究的难点。为了准确再现纤维蛋白纤维的力-应变曲线,本文首先建立了一个双线性的唯象模型,然后利用颗粒模拟数据建立的经验关系将唯象模型转化为力学模型。机理模型假设纤维蛋白纤维力-应变的初始线性响应是由于多肽链的熵延伸,而最终的线性响应是由于原原纤维的焓延伸。该模型是第一个同时(1)再现纤维蛋白纤维在张力状态下的双线性力-应变曲线的纤维蛋白纤维拉伸力-应变方程;(2)通过纤维蛋白纤维截面明确包括原纤维的数量、\(\mathrm{\alpha C}\) -区域的持续长度和纤维蛋白原纤维的刚度;(3)结合实验结果,对纤维蛋白纤维力学做出合理/准确的预测。该模型预测所分析纤维蛋白纤维的横截面上原原纤维的数量在207 ~ 421之间,\(\alpha C\) -区域的持续长度为\(\sim 0.36 \mathrm{nm}\),变形纤维中原原纤维的刚度为\(\sim 1.34 nN/\mathrm{strain}\)。预测的\(\alpha C\) -区持续长度在氨基酸残基长度\(0.34-0.4 \mathrm{nm},\)的典型范围内,预测的原纤维刚度与未折叠的纤维蛋白单体的半交错原纤维相对应。我们的分析支持了\(\alpha C\) -区域的熵扩展可能是纤维蛋白纤维初始力-应变刚度的原因,并表明纤维蛋白纤维变形过程中纤维蛋白原纤维的结构变化。该模型的结果与文献中报道的五种候选变形机制的结果进行了比较。我们的工作提供了(1)强有力的定量支持变形机制,这之前是由轶事和定性论证支持的,以及(2)严格分析纤维蛋白纤维力-应变数据和模拟纤维蛋白纤维张力的模型。
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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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