Cargando…

Simulation of angiogenesis in three dimensions: Application to cerebral cortex

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 respons...

Descripción completa

Detalles Bibliográficos
Autores principales: Alberding, Jonathan P., Secomb, Timothy W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266096/
https://www.ncbi.nlm.nih.gov/pubmed/34170925
http://dx.doi.org/10.1371/journal.pcbi.1009164
_version_ 1783719872048398336
author Alberding, Jonathan P.
Secomb, Timothy W.
author_facet Alberding, Jonathan P.
Secomb, Timothy W.
author_sort Alberding, Jonathan P.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8266096
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-82660962021-07-19 Simulation of angiogenesis in three dimensions: Application to cerebral cortex Alberding, Jonathan P. Secomb, Timothy W. PLoS Comput Biol Research Article 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. Public Library of Science 2021-06-25 /pmc/articles/PMC8266096/ /pubmed/34170925 http://dx.doi.org/10.1371/journal.pcbi.1009164 Text en © 2021 Alberding, Secomb https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Alberding, Jonathan P.
Secomb, Timothy W.
Simulation of angiogenesis in three dimensions: Application to cerebral cortex
title Simulation of angiogenesis in three dimensions: Application to cerebral cortex
title_full Simulation of angiogenesis in three dimensions: Application to cerebral cortex
title_fullStr Simulation of angiogenesis in three dimensions: Application to cerebral cortex
title_full_unstemmed Simulation of angiogenesis in three dimensions: Application to cerebral cortex
title_short Simulation of angiogenesis in three dimensions: Application to cerebral cortex
title_sort simulation of angiogenesis in three dimensions: application to cerebral cortex
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266096/
https://www.ncbi.nlm.nih.gov/pubmed/34170925
http://dx.doi.org/10.1371/journal.pcbi.1009164
work_keys_str_mv AT alberdingjonathanp simulationofangiogenesisinthreedimensionsapplicationtocerebralcortex
AT secombtimothyw simulationofangiogenesisinthreedimensionsapplicationtocerebralcortex