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Extravasation of Brownian Spheroidal Nanoparticles through Vascular Pores
Preyas N Shah1, Tiras Y Lin1, Ioana L Aanei2
1Department of Mechanical Engineering, Stanford University, Stanford, California.
Abstract:
In modern cancer treatment, there is significant interest in studying the use of drug molecules either directly injected into the bloodstream or delivered by nanoparticle (NP) carriers of various shapes and sizes. During treatment, these carriers may extravasate through pores in the tumor vasculature that form during angiogenesis. We provide an analytical, computational, and experimental examination of the extravasation of point particles (e.g., drug molecules) and finite-sized spheroidal particles. We study the advection-diffusion process in a model microvasculature, consisting of a shear flow over and a pressure-driven suction flow into a circular pore in a flat surface. For point particles, we provide an analytical formula [Formula: see text] for the dimensionless Sherwood number S, i.e., the extravasation rate, in terms of the pore entry resistance (Damköhler number κ), the shear rate (Péclet number P), and the suction flow rate (suction strength Q). Brownian dynamics (BD) simulations verify this result, and our simulations are then extended to include finite-sized NPs, in which no analytical solutions are available. BD simulations indicate that particles of different geometries have drastically different extravasation rates in different flow conditions. In general, extreme aspect ratio particles provide a greater flux through the pore because of favorable alignment with streamlines entering the pore and less hindered interaction with the pore. We validate the BD simulations by measuring the in vitro transport of both bacteriophage MS2 (a spherical NP) and free dye (a model drug molecule) across a porous membrane. Despite their vastly different sizes, BD predicts S = 8.53 E-4 and S = 27.6 E-4, and our experiments agree favorably, with Sexp=10.6 E-4± 1.75 E-4 and Sexp=16.3 E-4 ± 3.09 E-4, for MS2 and free dye, respectively, thus demonstrating the practical utility of our simulation framework.
Insights
This study examines how drug molecules and nanoparticle (NP) carriers extravasate through tumor vasculature pores. Extreme aspect ratio nanoparticles show higher extravasation rates, validated by experiments.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Cancer Therapeutics
Background:
- Nanoparticle (NP) carriers are crucial for targeted cancer drug delivery.
- Extravasation of drug molecules and NPs through tumor vasculature pores is a key delivery step.
- Understanding particle transport dynamics is vital for optimizing drug efficacy.
Purpose of the Study:
- To analytically, computationally, and experimentally investigate the extravasation of drug molecules and NPs through model microvasculature pores.
- To develop a predictive framework for particle transport across porous membranes.
- To compare the extravasation behavior of spherical and spheroidal NPs.
Main Methods:
- Analytical modeling of advection-diffusion for point particles.
- Brownian dynamics (BD) simulations for point particles and finite-sized NPs.
- In vitro experiments measuring transport of free dye and MS2 bacteriophage NPs across a porous membrane.
Main Results:
- An analytical formula for Sherwood number (extravasation rate) was derived for point particles based on pore resistance, shear rate, and suction flow.
- BD simulations revealed that extreme aspect ratio NPs exhibit significantly higher extravasation flux due to favorable alignment and reduced pore interaction.
- Experimental results for free dye and MS2 NPs validated the BD simulation predictions, demonstrating the framework's practical utility.
Conclusions:
- The study provides a robust framework for predicting particle extravasation, applicable to both drug molecules and NP carriers.
- Particle shape and flow conditions critically influence extravasation rates, with elongated NPs showing enhanced transport.
- The validated simulation approach can guide the design of more effective nanoparticle drug delivery systems for cancer treatment.
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