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肿瘤中液体和大分子的运输。III. 结合与代谢的作用。

Transport of fluid and macromolecules in tumors. III. Role of binding and metabolism.

作者信息

Baxter L T, Jain R K

机构信息

Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213-3890.

出版信息

Microvasc Res. 1991 Jan;41(1):5-23. doi: 10.1016/0026-2862(91)90003-t.

Abstract

We have previously developed a general theoretical framework for transvascular exchange and extravascular transport of fluid and macromolecules in tumors. The model was first applied to a homogeneous, alymphatic tumor, with no extravascular binding (Baxter and Jain, 1989). For nonbinding molecules the interstitial pressure was found to be a major contributing factor to the heterogeneous distribution of macromolecules within solid tumors. A steep pressure gradient was predicted at the periphery of the tumor, and verified in recent experiments. The second paper in this series looked at the role of heterogeneous perfusion and lymphatics on the interstitial pressure distribution and concentration profiles of non-binding macromolecules (Baxter and Jain, 1990). The present work presents the role of specific binding and metabolism in macromolecular uptake and distribution. In this investigation the interstitial concentration profiles for IgG and its fragment, Fab, were modeled with a convective-diffusion equation which includes extravascular binding and metabolism as well as transvascular exchange. The effects of molecular weight, binding affinity, antigen density, initial dose, plasma clearance, vascular permeability, metabolism, and necrosis were considered. An expression for optimal affinity was derived. The main conclusion is that an antibody with the highest possible binding affinity should be used except when: (i) there are significant necrotic regions; (ii) the diffusive vascular permeability is very small; and (iii) a uniform concentration is required on a microscopic scale. The highest concentrations are achieved by continuous infusion, but the specificity ratio is highest for bolus injections. Antibody metabolism reduces both the total concentration and the specificity ratio, especially at later times. In addition, specific binding reduces the amount of material sequestered in a necrotic core. Our model is compared with three previous models for antibody binding found in the literature. Unlike previous models, this model combines nonuniform filtration, binding, and interstitial transport to determine macroscopic concentration profiles. In addition to supporting previous conclusions, our model offers some new strategies for therapy.

摘要

我们之前已经为肿瘤中液体和大分子的跨血管交换及血管外转运建立了一个通用的理论框架。该模型首先应用于一个无血管、无血管外结合的均质肿瘤(巴克斯特和贾因,1989年)。对于非结合分子,间质压力被发现是实体肿瘤内大分子异质性分布的一个主要影响因素。在肿瘤周边预测到了一个陡峭的压力梯度,并在最近的实验中得到了验证。本系列的第二篇论文研究了异质性灌注和淋巴管对非结合大分子的间质压力分布和浓度分布的作用(巴克斯特和贾因,1990年)。目前的工作阐述了特异性结合和代谢在大分子摄取和分布中的作用。在这项研究中,免疫球蛋白G(IgG)及其片段Fab的间质浓度分布用一个对流扩散方程进行建模,该方程包括血管外结合和代谢以及跨血管交换。考虑了分子量、结合亲和力、抗原密度、初始剂量、血浆清除率、血管通透性、代谢和坏死的影响。推导了最佳亲和力的表达式。主要结论是,应使用具有尽可能高结合亲和力的抗体,除非出现以下情况:(i)存在显著的坏死区域;(ii)扩散性血管通透性非常小;(iii)在微观尺度上需要均匀的浓度。通过持续输注可达到最高浓度,但推注注射时特异性比率最高。抗体代谢会降低总浓度和特异性比率,尤其是在后期。此外,特异性结合会减少在坏死核心中滞留的物质数量。我们的模型与文献中之前发现的三种抗体结合模型进行了比较。与之前的模型不同,该模型结合了非均匀过滤、结合和间质转运来确定宏观浓度分布。除了支持之前的结论外,我们的模型还提供了一些新的治疗策略。

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