PLoS Comput Biol
BIO5 Institute, University of Arizona, Tucson, Arizona, United States of America.
Published: June 2021
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.
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http://dx.doi.org/10.1371/journal.pcbi.1009164 | DOI Listing |
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Research Centre, Montreal Heart Institute, Montreal, QC, Canada.
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Department of Mechanical Engineering, State University of New York at Binghamton, Binghamton, NY, USA.
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Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
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Programa de Pós-Graduação em Bioquímica e Bioprospecção (PPGBBio), Grupo de Pesquisa em Neurobiotecnologia - GPN, Universidade Federal de Pelotas, UFPel, Postal Code 96010-900, Pelotas, RS, Brazil; Programa de Pós-Graduação em Biotecnologia (PPGB), Grupo de Pesquisa em Neurobiotecnologia- GPN, Biotecnologia/Centro de Desenvolvimento Tecnológico, Universidade Federal de Pelotas, Pelotas, RS, Brazil. Electronic address:
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February 2025
Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218.
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