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Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls

It is well known that arteries grow and remodel in response to mechanical stimuli. Vascular smooth muscle cells are the main mediators of this process, as they can switch phenotype from contractile to synthetic, and vice‐versa, based on the surrounding bio‐chemo‐mechanical stimuli. A correct regulat...

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Autores principales: Ristori, Tommaso, Stassen, Oscar M. J. A., Sahlgren, Cecilia M., Loerakker, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217017/
https://www.ncbi.nlm.nih.gov/pubmed/32058657
http://dx.doi.org/10.1002/cnm.3323
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author Ristori, Tommaso
Stassen, Oscar M. J. A.
Sahlgren, Cecilia M.
Loerakker, Sandra
author_facet Ristori, Tommaso
Stassen, Oscar M. J. A.
Sahlgren, Cecilia M.
Loerakker, Sandra
author_sort Ristori, Tommaso
collection PubMed
description It is well known that arteries grow and remodel in response to mechanical stimuli. Vascular smooth muscle cells are the main mediators of this process, as they can switch phenotype from contractile to synthetic, and vice‐versa, based on the surrounding bio‐chemo‐mechanical stimuli. A correct regulation of this phenotypic switch is fundamental to obtain and maintain arterial homeostasis. Notch, a mechanosensitive signaling pathway, is one of the main regulators of the vascular smooth muscle cell phenotype. Therefore, understanding Notch dynamics is key to elucidate arterial growth, remodeling, and mechanobiology. We have recently developed a one‐dimensional agent‐based model to investigate Notch signaling in arteries. However, due to its one‐dimensional formulation, the model cannot be adopted to study complex nonsymmetrical geometries and, importantly, it cannot capture the realistic “cell connectivity” in arteries, here defined as the number of cell neighbors. Notch functions via direct cell‐cell contact; thus, the number of cell neighbors could be an essential feature of Notch dynamics. Here, we extended the agent‐based model to a two‐dimensional formulation, to investigate the effects of cell connectivity on Notch dynamics and cell phenotypes in arteries. The computational results, supported by a sensitivity analysis, indicate that cell connectivity has marginal effects when Notch dynamics is dominated by the process of lateral induction, which induces all cells to have a uniform phenotype. When lateral induction is weaker, cells exhibit a nonuniform phenotype distribution and the percentage of synthetic cells within an artery depends on the number of neighbors.
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spelling pubmed-72170172020-05-13 Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls Ristori, Tommaso Stassen, Oscar M. J. A. Sahlgren, Cecilia M. Loerakker, Sandra Int J Numer Method Biomed Eng Research Article ‐ Fundamental It is well known that arteries grow and remodel in response to mechanical stimuli. Vascular smooth muscle cells are the main mediators of this process, as they can switch phenotype from contractile to synthetic, and vice‐versa, based on the surrounding bio‐chemo‐mechanical stimuli. A correct regulation of this phenotypic switch is fundamental to obtain and maintain arterial homeostasis. Notch, a mechanosensitive signaling pathway, is one of the main regulators of the vascular smooth muscle cell phenotype. Therefore, understanding Notch dynamics is key to elucidate arterial growth, remodeling, and mechanobiology. We have recently developed a one‐dimensional agent‐based model to investigate Notch signaling in arteries. However, due to its one‐dimensional formulation, the model cannot be adopted to study complex nonsymmetrical geometries and, importantly, it cannot capture the realistic “cell connectivity” in arteries, here defined as the number of cell neighbors. Notch functions via direct cell‐cell contact; thus, the number of cell neighbors could be an essential feature of Notch dynamics. Here, we extended the agent‐based model to a two‐dimensional formulation, to investigate the effects of cell connectivity on Notch dynamics and cell phenotypes in arteries. The computational results, supported by a sensitivity analysis, indicate that cell connectivity has marginal effects when Notch dynamics is dominated by the process of lateral induction, which induces all cells to have a uniform phenotype. When lateral induction is weaker, cells exhibit a nonuniform phenotype distribution and the percentage of synthetic cells within an artery depends on the number of neighbors. John Wiley & Sons, Inc. 2020-02-26 2020-04 /pmc/articles/PMC7217017/ /pubmed/32058657 http://dx.doi.org/10.1002/cnm.3323 Text en © 2020 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Article ‐ Fundamental
Ristori, Tommaso
Stassen, Oscar M. J. A.
Sahlgren, Cecilia M.
Loerakker, Sandra
Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls
title Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls
title_full Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls
title_fullStr Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls
title_full_unstemmed Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls
title_short Lateral induction limits the impact of cell connectivity on Notch signaling in arterial walls
title_sort lateral induction limits the impact of cell connectivity on notch signaling in arterial walls
topic Research Article ‐ Fundamental
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217017/
https://www.ncbi.nlm.nih.gov/pubmed/32058657
http://dx.doi.org/10.1002/cnm.3323
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