A2 Refereed review article in a scientific journal

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




AuthorsRistori Tommaso, Sjöqvist Marika, Sahlgren Cecilia M

PublisherMARY ANN LIEBERT, INC

Publication year2021

JournalTissue Engineering Part C Methods

Journal name in sourceTISSUE ENGINEERING PART C-METHODS

Journal acronymTISSUE ENG PART C-ME

Volume27

Issue3

First page 167

Last page176

Number of pages10

ISSN1937-3384

eISSN1937-3392

DOIhttps://doi.org/10.1089/ten.tec.2020.0327

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/53431470


Abstract
Impact statementIn 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.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).

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