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在不同的组织间液流动环境下的自体梯度形成。

Autologous gradient formation under differential interstitial fluid flow environments.

作者信息

Stine Caleb, Munson Jennifer

机构信息

Fralin Biomedical Research Institute, Virginia Tech Biomedical Engineering and Mechanics.

出版信息

Biophysica. 2022 Mar;2(1):16-33. doi: 10.3390/biophysica2010003. Epub 2022 Jan 4.

Abstract

Fluid flow and chemokine gradients play a large part in not only regulating homeostatic processes in the brain, but also in pathologic conditions by directing cell migration. Tumor cells in particular are superior at invading into the brain resulting in tumor recurrence. One mechanism that governs cellular invasion is autologous chemotaxis, whereby pericellular chemokine gradients form due to interstitial fluid flow (IFF) leading cells to migrate up the gradient. Glioma cells have been shown to specifically use CXCL12 to increase their invasion under heightened interstitial flow. Computational modeling of this gradient offers better insight into the extent of its development around single cells, yet very few conditions have been modelled. In this paper, a computational model is developed to investigate how a CXCL12 gradient may form around a tumor cell and what conditions are necessary to affect its formation. Through finite element analysis using COMSOL and coupled convection-diffusion/mass transport equations, we show that velocity (IFF magnitude) has the largest parametric effect on gradient formation, multidirectional fluid flow causes gradient formation in the direction of the resultant which is governed by IFF magnitude, common treatments and flow patterns have a spatiotemporal effect on pericellular gradients, exogenous background concentrations can abrogate the autologous effect depending on how close the cell is to the source, that there is a minimum distance away from the tumor border required for a single cell to establish an autologous gradient, and finally that the development of a gradient formation is highly dependent on specific cell morphology.

摘要

流体流动和趋化因子梯度不仅在调节大脑的稳态过程中起很大作用,而且在通过引导细胞迁移的病理状况中也起很大作用。特别是肿瘤细胞在侵入大脑导致肿瘤复发方面表现得更为突出。一种控制细胞侵袭的机制是自体趋化作用,即由于间质液流动(IFF)形成细胞周围趋化因子梯度,引导细胞沿梯度向上迁移。已表明胶质瘤细胞在间质液流动增强的情况下会特异性地利用CXCL12来增加其侵袭能力。对这种梯度的计算建模能更好地洞察其在单细胞周围的发展程度,但尚未对很多情况进行建模。在本文中,开发了一个计算模型来研究CXCL12梯度如何在肿瘤细胞周围形成以及影响其形成需要哪些条件。通过使用COMSOL的有限元分析以及耦合的对流扩散/质量传输方程,我们表明速度(IFF大小)对梯度形成具有最大的参数效应,多方向流体流动会在合成方向上导致梯度形成,而该方向由IFF大小决定,常见的处理方法和流动模式对细胞周围梯度具有时空效应,外源性背景浓度可根据细胞与源的距离远近消除自体效应,单个细胞建立自体梯度需要与肿瘤边界保持最小距离,最后梯度形成的发展高度依赖于特定的细胞形态。

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