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Computational approaches for mechanobiology in cardiovascular development and diseases.
Brown, Aaron L; Sexton, Zachary A; Hu, Zinan; Yang, Weiguang; Marsden, Alison L.
Affiliation
  • Brown AL; Department of Mechanical Engineering, Stanford University, Stanford, CA, United States.
  • Sexton ZA; Department of Bioengineering, Stanford University, Stanford, CA, United States.
  • Hu Z; Department of Mechanical Engineering, Stanford University, Stanford, CA, United States.
  • Yang W; Department of Pediatrics, Stanford University, Stanford, CA, United States.
  • Marsden AL; Department of Bioengineering, Stanford University, Stanford, CA, United States; Department of Pediatrics, Stanford University, Stanford, CA, United States. Electronic address: amarsden@stanford.edu.
Curr Top Dev Biol ; 156: 19-50, 2024.
Article in En | MEDLINE | ID: mdl-38556423
ABSTRACT
The cardiovascular development in vertebrates evolves in response to genetic and mechanical cues. The dynamic interplay among mechanics, cell biology, and anatomy continually shapes the hydraulic networks, characterized by complex, non-linear changes in anatomical structure and blood flow dynamics. To better understand this interplay, a diverse set of molecular and computational tools has been used to comprehensively study cardiovascular mechanobiology. With the continual advancement of computational capacity and numerical techniques, cardiovascular simulation is increasingly vital in both basic science research for understanding developmental mechanisms and disease etiologies, as well as in clinical studies aimed at enhancing treatment outcomes. This review provides an overview of computational cardiovascular modeling. Beginning with the fundamental concepts of computational cardiovascular modeling, it navigates through the applications of computational modeling in investigating mechanobiology during cardiac development. Second, the article illustrates the utility of computational hemodynamic modeling in the context of treatment planning for congenital heart diseases. It then delves into the predictive potential of computational models for elucidating tissue growth and remodeling processes. In closing, we outline prevailing challenges and future prospects, underscoring the transformative impact of computational cardiovascular modeling in reshaping cardiovascular science and clinical practice.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Heart / Heart Defects, Congenital Limits: Animals Language: En Journal: Curr Top Dev Biol / Curr. top. dev. biol / Current topics in developmental biology Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Heart / Heart Defects, Congenital Limits: Animals Language: En Journal: Curr Top Dev Biol / Curr. top. dev. biol / Current topics in developmental biology Year: 2024 Document type: Article Affiliation country: Country of publication: