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血栓揭示了纤维网络异常的弹性行为。

Clots reveal anomalous elastic behavior of fiber networks.

机构信息

Department of Physics, University of California, Merced, Merced, CA 95343, USA.

Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.

出版信息

Sci Adv. 2024 Jan 12;10(2):eadh1265. doi: 10.1126/sciadv.adh1265. Epub 2024 Jan 10.

Abstract

The adaptive mechanical properties of soft and fibrous biological materials are relevant to their functionality. The emergence of the macroscopic response of these materials to external stress and intrinsic cell traction from local deformations of their structural components is not well understood. Here, we investigate the nonlinear elastic behavior of blood clots by combining microscopy, rheology, and an elastic network model that incorporates the stretching, bending, and buckling of constituent fibrin fibers. By inhibiting fibrin cross-linking in blood clots, we observe an anomalous softening regime in the macroscopic shear response as well as a reduction in platelet-induced clot contractility. Our model explains these observations from two independent macroscopic measurements in a unified manner, through a single mechanical parameter, the bending stiffness of individual fibers. Supported by experimental evidence, our mechanics-based model provides a framework for predicting and comprehending the nonlinear elastic behavior of blood clots and other active biopolymer networks in general.

摘要

软质纤维状生物材料的自适应机械性能与其功能相关。这些材料对外部应力的宏观响应以及其结构成分局部变形产生的内在细胞牵引力的出现,目前还不太清楚。在这里,我们通过结合显微镜、流变学和包含组成纤维蛋白纤维拉伸、弯曲和屈曲的弹性网络模型,研究了血栓的非线性弹性行为。通过抑制血栓中的纤维蛋白交联,我们观察到宏观剪切响应中的异常软化状态以及血小板诱导的血栓收缩力降低。我们的模型通过单个力学参数(即单个纤维的弯曲刚度)以统一的方式解释了这两个独立的宏观测量结果。通过实验证据支持,我们基于力学的模型为预测和理解一般血栓和其他活性生物聚合物网络的非线性弹性行为提供了一个框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/107a/10780871/e6474c948441/sciadv.adh1265-f1.jpg

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