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A multiscale computational model of arterial growth and remodeling including Notch signaling

  • Jordy G M van Asten
  • , Marcos Latorre
  • , Cansu Karakaya
  • , Frank P T Baaijens
  • , Cecilia M Sahlgren
  • , Tommaso Ristori
  • , Jay D Humphrey
  • , Sandra Loerakker

Tutkimustuotos: LehtiartikkeliArtikkeliTieteellinenvertaisarvioitu

9 Sitaatiot (Scopus)
106 Lataukset (Pure)

Abstrakti

Blood vessels grow and remodel in response to mechanical stimuli. Many computational models capture this process phenomenologically, by assuming stress homeostasis, but this approach cannot unravel the underlying cellular mechanisms. Mechano-sensitive Notch signaling is well-known to be key in vascular development and homeostasis. Here, we present a multiscale framework coupling a constrained mixture model, capturing the mechanics and turnover of arterial constituents, to a cell-cell signaling model, describing Notch signaling dynamics among vascular smooth muscle cells (SMCs) as influenced by mechanical stimuli. Tissue turnover was regulated by both Notch activity, informed by in vitro data, and a phenomenological contribution, accounting for mechanisms other than Notch. This novel framework predicted changes in wall thickness and arterial composition in response to hypertension similar to previous in vivo data. The simulations suggested that Notch contributes to arterial growth in hypertension mainly by promoting SMC proliferation, while other mechanisms are needed to fully capture remodeling. The results also indicated that interventions to Notch, such as external Jagged ligands, can alter both the geometry and composition of hypertensive vessels, especially in the short term. Overall, our model enables a deeper analysis of the role of Notch and Notch interventions in arterial growth and remodeling and could be adopted to investigate therapeutic strategies and optimize vascular regeneration protocols.

AlkuperäiskieliEnglanti
Sivut1569-1588
JulkaisuBiomechanics and modeling in mechanobiology
Vuosikerta22
Numero5
Varhainen verkossa julkaisun päivämäärä6 huhtik. 2023
DOI - pysyväislinkit
TilaJulkaistu - lokak. 2023
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Rahoitus

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 802967 and 771168) and from the Marie-Sklodowska-Curie Global Fellowship (grant number 846617).

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