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Ex Vivo Models to Decipher the Molecular Mechanisms of Genetic Notch Cardiovascular Disorders

Notch is an evolutionary, conserved, cell–cell signaling pathway that is central to several biological processes, from tissue morphogenesis to homeostasis. It is therefore not surprising that several genetic mutations of Notch components cause inherited human diseases, especially cardiovascular diso...

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Autores principales: Ristori, Tommaso, Sjöqvist, Marika, Sahlgren, Cecilia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984653/
https://www.ncbi.nlm.nih.gov/pubmed/33403934
http://dx.doi.org/10.1089/ten.tec.2020.0327
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author Ristori, Tommaso
Sjöqvist, Marika
Sahlgren, Cecilia M.
author_facet Ristori, Tommaso
Sjöqvist, Marika
Sahlgren, Cecilia M.
author_sort Ristori, Tommaso
collection PubMed
description Notch is an evolutionary, conserved, cell–cell signaling pathway that is central to several biological processes, from tissue morphogenesis to homeostasis. It is therefore not surprising that several genetic mutations of Notch components cause inherited human diseases, especially cardiovascular disorders. Despite numerous efforts, current in vivo models are still insufficient to unravel the underlying mechanisms of these pathologies, hindering the development of utmost needed medical therapies. In this perspective review, we discuss the limitations of current murine models and outline how the combination of microphysiological systems (MPSs) and targeted computational models can lead to breakthroughs in this field. In particular, while MPSs enable the experimentation on human cells in controlled and physiological environments, in silico models can provide a versatile tool to translate the in vitro findings to the more complex in vivo setting. As a showcase example, we focus on Notch-related cardiovascular diseases, such as Alagille syndrome, Adams–Oliver syndrome, and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). IMPACT STATEMENT: In this review, a comprehensive overview of the limitations of current in vivo models of genetic Notch cardiovascular diseases is provided, followed by a discussion over the potential of microphysiological systems and computational models in overcoming these limitations and in potentiating drug testing and modeling of these pathologies.
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spelling pubmed-79846532021-03-23 Ex Vivo Models to Decipher the Molecular Mechanisms of Genetic Notch Cardiovascular Disorders Ristori, Tommaso Sjöqvist, Marika Sahlgren, Cecilia M. Tissue Eng Part C Methods Reviews Notch is an evolutionary, conserved, cell–cell signaling pathway that is central to several biological processes, from tissue morphogenesis to homeostasis. It is therefore not surprising that several genetic mutations of Notch components cause inherited human diseases, especially cardiovascular disorders. Despite numerous efforts, current in vivo models are still insufficient to unravel the underlying mechanisms of these pathologies, hindering the development of utmost needed medical therapies. In this perspective review, we discuss the limitations of current murine models and outline how the combination of microphysiological systems (MPSs) and targeted computational models can lead to breakthroughs in this field. In particular, while MPSs enable the experimentation on human cells in controlled and physiological environments, in silico models can provide a versatile tool to translate the in vitro findings to the more complex in vivo setting. As a showcase example, we focus on Notch-related cardiovascular diseases, such as Alagille syndrome, Adams–Oliver syndrome, and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). IMPACT STATEMENT: In this review, a comprehensive overview of the limitations of current in vivo models of genetic Notch cardiovascular diseases is provided, followed by a discussion over the potential of microphysiological systems and computational models in overcoming these limitations and in potentiating drug testing and modeling of these pathologies. Mary Ann Liebert, Inc., publishers 2021-03-01 2021-03-15 /pmc/articles/PMC7984653/ /pubmed/33403934 http://dx.doi.org/10.1089/ten.tec.2020.0327 Text en © Tommaso Ristori, et al., 2021; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Ristori, Tommaso
Sjöqvist, Marika
Sahlgren, Cecilia M.
Ex Vivo Models to Decipher the Molecular Mechanisms of Genetic Notch Cardiovascular Disorders
title Ex Vivo Models to Decipher the Molecular Mechanisms of Genetic Notch Cardiovascular Disorders
title_full Ex Vivo Models to Decipher the Molecular Mechanisms of Genetic Notch Cardiovascular Disorders
title_fullStr Ex Vivo Models to Decipher the Molecular Mechanisms of Genetic Notch Cardiovascular Disorders
title_full_unstemmed Ex Vivo Models to Decipher the Molecular Mechanisms of Genetic Notch Cardiovascular Disorders
title_short Ex Vivo Models to Decipher the Molecular Mechanisms of Genetic Notch Cardiovascular Disorders
title_sort ex vivo models to decipher the molecular mechanisms of genetic notch cardiovascular disorders
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984653/
https://www.ncbi.nlm.nih.gov/pubmed/33403934
http://dx.doi.org/10.1089/ten.tec.2020.0327
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