Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA.
Biophys J. 2010 Nov 17;99(10):3119-28. doi: 10.1016/j.bpj.2010.08.065.
The interstitial matrix is comprised of cross-linked collagen fibers, generally arranged in nonisotropic orientations. Spatial alignment of matrix components within the tissue can affect diffusion patterns of drugs. In this study, we developed a methodology for the calculation of diffusion coefficients of macromolecules and nanoparticles in collagenous tissues. The tissues are modeled as three-dimensional, stochastic, fiber networks with varying degrees of alignment. We employed a random walk approach to simulate diffusion and a Stokesian dynamics method to account for hydrodynamic hindrance. We performed our analysis for four different structures ranging from nearly isotropic to perfectly aligned. We showed that the overall diffusion coefficient is not affected by the orientation of the network. However, structural anisotropy results in diffusion anisotropy, which becomes more significant with increase in the degree of alignment, the size of the diffusing particle, and the fiber volume fraction. To test our model predictions we performed diffusion measurements in reconstituted collagen gels and tumor xenografts. We measured fiber alignment and diffusion with second harmonic generation and multiphoton fluorescent recovery after photobleaching techniques, respectively. The results showed for the first time in tumors that the structure and orientation of collagen fibers in the extracellular space leads to diffusion anisotropy.
细胞间质由交联的胶原纤维组成,通常呈各向异性排列。组织中基质成分的空间排列会影响药物的扩散模式。在这项研究中,我们开发了一种计算胶原组织中大分子和纳米颗粒扩散系数的方法。这些组织被建模为具有不同取向程度的三维随机纤维网络。我们采用随机游走方法模拟扩散,采用 Stokesian 动力学方法考虑流体力学阻力。我们对四种不同的结构进行了分析,范围从近乎各向同性到完全取向。结果表明,整体扩散系数不受网络取向的影响。然而,结构各向异性导致扩散各向异性,随着取向程度、扩散粒子的大小和纤维体积分数的增加,这种各向异性变得更加显著。为了验证我们的模型预测,我们在重组胶原凝胶和肿瘤异种移植物中进行了扩散测量。我们分别采用二次谐波产生和多光子荧光漂白后恢复技术测量纤维取向和扩散。结果首次表明,肿瘤细胞外空间中胶原纤维的结构和取向导致了扩散各向异性。