Verdier Claude, Couzon Cécile, Duperray Alain, Singh Pushpendra
Laboratoire de Spectrométrie Physique, UMR 5588, CNRS and Université Grenoble I, 140 avenue de la physique, BP 87, 38402, Saint-Martin d'Hères Cedex, France.
J Math Biol. 2009 Jan;58(1-2):235-59. doi: 10.1007/s00285-008-0164-4. Epub 2008 Feb 22.
In this review, we summarize the current state of understanding of the processes by which leukocytes, and other cells, such as tumor cells interact with the endothelium under various blood flow conditions. It is shown that the interactions are influenced by cell-cell adhesion properties, shear stresses due to the flow field and can also be modified by the cells microrheological properties. Different adhesion proteins are known to be involved leading to particular mechanisms by which interactions take place during inflammation or metastasis. Cell rolling, spreading, migration are discussed, as well as the effect of flow conditions on these mechanisms, including microfluidic effects. Several mathematical models proposed in recent years capturing the essential features of such interaction mechanisms are reviewed. Finally, we present a recent model in which the adhesion is given by a kinetics theory based model and the cell itself is modeled as a viscoelastic drop. Qualitative agreement is found between the predictions of this model and in vitro experiments.
在本综述中，我们总结了目前对于白细胞以及其他细胞（如肿瘤细胞）在各种血流条件下与内皮细胞相互作用过程的理解现状。研究表明，这些相互作用受细胞间黏附特性、流场产生的剪切应力影响，同时也会因细胞的微流变学特性而改变。已知不同的黏附蛋白参与其中，导致了炎症或转移过程中相互作用发生的特定机制。文中讨论了细胞滚动、铺展、迁移以及流动条件对这些机制的影响，包括微流体效应。回顾了近年来提出的几个捕捉此类相互作用机制基本特征的数学模型。最后，我们展示了一个近期的模型，其中黏附由基于动力学理论的模型给出，细胞本身被建模为一个粘弹性液滴。该模型的预测结果与体外实验之间存在定性的一致性。
