Simulation of angiogenesis in three dimensions: Application to cerebral cortex
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journal.pcbi.1009164.pdf
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BIO5 Institute, University of Arizona, Department of Physiology, University of ArizonaIssue Date
2021
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Public Library of ScienceCitation
Alberding, J. P., & Secomb, T. W. (2021). Simulation of angiogenesis in three dimensions: Application to cerebral cortex. PLoS Computational Biology, 17(6).Journal
PLoS Computational BiologyRights
Copyright © 2021 Alberding, Secomb. This is an open access article distributed under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The vasculature is a dynamic structure, growing and regressing in response to embryonic development, growth, changing physiological demands, wound healing, tumor growth and other stimuli. At the microvascular level, network geometry is not predetermined, but emerges as a result of biological responses of each vessel to the stimuli that it receives. These responses may be summarized as angiogenesis, remodeling and pruning. Previous theoretical simulations have shown how two-dimensional vascular patterns generated by these processes in the mesentery are consistent with experimental observations. During early development of the brain, a mesh-like network of vessels is formed on the surface of the cerebral cortex. This network then forms branches into the cortex, forming a three-dimensional network throughout its thickness. Here, a theoretical model is presented for this process, based on known or hypothesized vascular response mechanisms together with experimentally obtained information on the structure and hemodynamics of the mouse cerebral cortex. According to this model, essential components of the system include sensing of oxygen levels in the midrange of partial pressures and conducted responses in vessel walls that propagate information about metabolic needs of the tissue to upstream segments of the network. The model provides insights into the effects of deficits in vascular response mechanisms, and can be used to generate physiologically realistic microvascular network structures. Copyright: © 2021 Alberding, Secomb. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Note
Open access journalISSN
1553-734XVersion
Final published versionae974a485f413a2113503eed53cd6c53
10.1371/journal.pcbi.1009164
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Except where otherwise noted, this item's license is described as Copyright © 2021 Alberding, Secomb. This is an open access article distributed under the terms of the Creative Commons Attribution License.

