Dynamic remodeling of fiber networks with stiff inclusions under compressive loading.
Dynamic remodeling of fiber networks with stiff inclusions under compressive loading.
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DOI：
10.1016/j.actbio.2022.09.063
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发表时间：
2023-06
影响因子：
9.7
通讯作者：
Patteson AE
中科院分区：
文献类型：
--
作者：
Carroll B;Thanh MH;Patteson AE
组织维持和承受机械应力的能力对于组织发育和健康组织维持至关重要。组织的机械性能通常被认为是由组织的纤维细胞外基质（ECM）组分主导的。纤维网络力学可以捕获组织的某些机械特征，例如剪切应变硬化，但不足以描述富含细胞外基质的某些组织和血凝块的压缩响应。为了了解组织的机械响应，我们采用了当代的力学模型，一个纤维蛋白的纤维网络嵌入惰性珠夹杂物，保持体积守恒的限制组织中的细胞。结合散装机械流变学和自定义成像设备，我们表明，夹杂物的存在改变了局部动态重塑的网络进行单轴压缩应变，并证明非仿射相关的运动内的纤维珠网络，预测拉伸纤维在网络中，并导致网络的能力，压缩下，一个关键功能的真实的组织。这些发现对于理解细胞和ECM纤维的局部结构特性如何影响真实的组织的整体机械响应具有重要意义。
The ability of tissues to sustain and withstand mechanical stress is critical to tissue development and healthy tissue maintenance. The mechanical properties of tissues are typically considered to be dominated by the fibrous extracellular matrix (ECM) component of tissues. Fiber network mechanics can capture certain mechanical features of tissues, such as shear strain stiffening, but is insufficient in describing the compressive response of certain tissues and blood clots that are rich in extracellular matrix. To understand the mechanical response of tissues, we employ a contemporary mechanical model, a fibrous network of fibrin embedded with inert bead inclusions that preserve the volume-conserving constraints of cells in tissues. Combining bulk mechanical rheology and a custom imaging device, we show that the presence of inclusions alters the local dynamic remodeling of the networks undergoing uniaxial compressive strains and demonstrate non-affine correlated motion within a fiber-bead network, predicted to stretch fibers in the network and lead to the ability of the network to stiffen under compression, a key feature of real tissues. These findings have important implications for understanding how local structural properties of cells and ECM fibers impact the bulk mechanical response of real tissues.
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影响因子：
3.5
作者：
Kim OV;Liang X;Litvinov RI;Weisel JW;Alber MS;Purohit PK
通讯作者：
Purohit PK
影响因子：
3.4
作者：
Kurniawan, Nicholas A.;Vos, Bart E.;Koenderink, Gijsje H.
通讯作者：
Koenderink, Gijsje H.
DOI：
10.1016/b978-0-12-801238-3.99932-x
发表时间：
2019-01-01
期刊：
ENCYCLOPEDIA OF BIOMEDICAL ENGINEERING, VOL 2
影响因子：
--
作者：
Malandrino, Andrea;Moeendarbary, Emad
通讯作者：
Moeendarbary, Emad
影响因子：
3.4
作者：
Peters, Ivo R.;Jaeger, Heinrich M.
通讯作者：
Jaeger, Heinrich M.
影响因子：
3.4
作者：
Silbert, Leonardo E.
通讯作者：
Silbert, Leonardo E.