Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature

The delivery of drugs into solid tumors is not trivial due to obstructions in the tumor microenvironment. Innovative drug delivery vehicles are currently being designed to overcome this challenge. In this research, computational fluid dynamics (CFD) simulations were used to evaluate the behavior of...

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Main Author: Windes, Peter
Other Authors: Mechanical Engineering
Format: Others
Language:en_US
Published: Virginia Tech 2017
Subjects:
Online Access:http://hdl.handle.net/10919/77502
http://scholar.lib.vt.edu/theses/available/etd-10062016-193306/
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-775022020-09-29T05:48:29Z Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature Windes, Peter Mechanical Engineering Tafti, Danesh K. Qiao, Rui Behkam, Bahareh computational fluid dynamics bacteria capillary immersed boundary method drug delivery red blood cell computational biology microvasculature The delivery of drugs into solid tumors is not trivial due to obstructions in the tumor microenvironment. Innovative drug delivery vehicles are currently being designed to overcome this challenge. In this research, computational fluid dynamics (CFD) simulations were used to evaluate the behavior of several drug delivery vectors in tumor capillaries—specifically motile bacteria, non-motile bacteria, and nanoparticles. Red blood cells, bacteria, and nanoparticles were imposed in the flow using the immersed boundary method. A human capillary model was developed using a novel method of handling deformable red blood cells (RBC). The capillary model was validated with experimental data from the literature. A stochastic model of bacteria motility was defined based on experimentally observed run and tumble behavior. The capillary and bacteria models were combined to simulate the intracapillary transport of bacteria. Non-motile bacteria and nanoparticles of 200 nm, 300 nm, and 405 nm were also simulated in capillary flow for comparison to motile bacteria. Motile bacteria tended to swim into the plasma layer near the capillary wall, while non-motile bacteria tended to get caught in the bolus flow between the RBCs. The nanoparticles were more impacted by Brownian motion and small scale fluid fluctuations, so they did not trend toward a single region of the flow. Motile bacteria were found to have the longest residence time in a 1 mm long capillary as well as the highest average radial velocity. This suggests motile bacteria may enter the interstitium at a higher rate than non-motile bacteria or nanoparticles of diameters between 200–405 nm. Master of Science 2017-04-24T16:03:05Z 2017-04-24T16:03:05Z 2016-09-23 2016-10-06 Thesis Text etd-10062016-193306 http://hdl.handle.net/10919/77502 http://scholar.lib.vt.edu/theses/available/etd-10062016-193306/ en_US In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf Virginia Tech
collection NDLTD
language en_US
format Others
sources NDLTD
topic computational fluid dynamics
bacteria
capillary
immersed boundary method
drug delivery
red blood cell
computational biology
microvasculature
spellingShingle computational fluid dynamics
bacteria
capillary
immersed boundary method
drug delivery
red blood cell
computational biology
microvasculature
Windes, Peter
Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature
description The delivery of drugs into solid tumors is not trivial due to obstructions in the tumor microenvironment. Innovative drug delivery vehicles are currently being designed to overcome this challenge. In this research, computational fluid dynamics (CFD) simulations were used to evaluate the behavior of several drug delivery vectors in tumor capillaries—specifically motile bacteria, non-motile bacteria, and nanoparticles. Red blood cells, bacteria, and nanoparticles were imposed in the flow using the immersed boundary method. A human capillary model was developed using a novel method of handling deformable red blood cells (RBC). The capillary model was validated with experimental data from the literature. A stochastic model of bacteria motility was defined based on experimentally observed run and tumble behavior. The capillary and bacteria models were combined to simulate the intracapillary transport of bacteria. Non-motile bacteria and nanoparticles of 200 nm, 300 nm, and 405 nm were also simulated in capillary flow for comparison to motile bacteria. Motile bacteria tended to swim into the plasma layer near the capillary wall, while non-motile bacteria tended to get caught in the bolus flow between the RBCs. The nanoparticles were more impacted by Brownian motion and small scale fluid fluctuations, so they did not trend toward a single region of the flow. Motile bacteria were found to have the longest residence time in a 1 mm long capillary as well as the highest average radial velocity. This suggests motile bacteria may enter the interstitium at a higher rate than non-motile bacteria or nanoparticles of diameters between 200–405 nm. === Master of Science
author2 Mechanical Engineering
author_facet Mechanical Engineering
Windes, Peter
author Windes, Peter
author_sort Windes, Peter
title Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature
title_short Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature
title_full Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature
title_fullStr Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature
title_full_unstemmed Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature
title_sort computational modeling of intracapillary bacteria transport in tumor microvasculature
publisher Virginia Tech
publishDate 2017
url http://hdl.handle.net/10919/77502
http://scholar.lib.vt.edu/theses/available/etd-10062016-193306/
work_keys_str_mv AT windespeter computationalmodelingofintracapillarybacteriatransportintumormicrovasculature
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