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淋巴结中淋巴管与血管的淋巴流动及液体交换建模

Modeling Lymph Flow and Fluid Exchange with Blood Vessels in Lymph Nodes.

作者信息

Jafarnejad Mohammad, Woodruff Matthew C, Zawieja David C, Carroll Michael C, Moore J E

机构信息

1 Department of Bioengineering, Imperial College , London, United Kingdom .

2 Emory Vaccine Center, Emory University , Atlanta, Georgia .

出版信息

Lymphat Res Biol. 2015 Dec;13(4):234-47. doi: 10.1089/lrb.2015.0028.

Abstract

BACKGROUND

Lymph nodes (LNs) are positioned strategically throughout the body as critical mediators of lymph filtration and immune response. Lymph carries cytokines, antigens, and cells to the downstream LNs, and their effective delivery to the correct location within the LN directly impacts the quality and quantity of immune response. Despite the importance of this system, the flow patterns in LN have never been quantified, in part because experimental characterization is so difficult.

METHODS AND RESULTS

To achieve a more quantitative knowledge of LN flow, a computational flow model has been developed based on the mouse popliteal LN, allowing for a parameter sensitivity analysis to identify the important system characteristics. This model suggests that about 90% of the lymph takes a peripheral path via the subcapsular and medullary sinuses, while fluid perfusing deeper into the paracortex is sequestered by parenchymal blood vessels. Fluid absorption by these blood vessels under baseline conditions was driven mainly by oncotic pressure differences between lymph and blood, although the magnitude of fluid transfer is highly dependent on blood vessel surface area. We also predict that the hydraulic conductivity of the medulla, a parameter that has never been experimentally measured, should be at least three orders of magnitude larger than that of the paracortex to ensure physiologic pressures across the node.

CONCLUSIONS

These results suggest that structural changes in the LN microenvironment, as well as changes in inflow/outflow conditions, dramatically alter the distribution of lymph, cytokines, antigens, and cells within the LN, with great potential for modulating immune response.

摘要

背景

淋巴结(LNs)作为淋巴过滤和免疫反应的关键介质,在全身呈战略性分布。淋巴将细胞因子、抗原和细胞输送到下游淋巴结,而它们有效递送至淋巴结内的正确位置直接影响免疫反应的质量和数量。尽管该系统很重要,但淋巴结内的流动模式从未被量化,部分原因是实验表征非常困难。

方法与结果

为了更定量地了解淋巴结流动情况,基于小鼠腘淋巴结开发了一种计算流动模型,可进行参数敏感性分析以确定重要的系统特征。该模型表明,约90%的淋巴通过被膜下窦和髓窦走外周路径,而灌注到更深皮质旁区的液体被实质血管截留。在基线条件下,这些血管的液体吸收主要由淋巴和血液之间的渗透压差异驱动,尽管液体转移的幅度高度依赖于血管表面积。我们还预测,髓质的水力传导率(一个从未被实验测量过的参数)应比皮质旁区至少大三到四个数量级,以确保整个淋巴结的生理压力。

结论

这些结果表明,淋巴结微环境的结构变化以及流入/流出条件的变化会显著改变淋巴结内淋巴、细胞因子、抗原和细胞的分布,对调节免疫反应具有巨大潜力。

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