Computational modeling for cardiovascular tissue engineering: the importance of including cell behavior in growth and remodeling algorithms

Sandra Loerakker (Corresponding author), Tommaso Ristori

Research output: Contribution to journalReview articlepeer-review

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Abstract

Understanding cardiovascular growth and remodeling (G&R) is fundamental for designing robust cardiovascular tissue engineering strategies, which enable synthetic or biological scaffolds to transform into healthy living tissues after implantation. Computational modeling, particularly when integrated with experimental research, is key for advancing our understanding, predicting the in vivo evolution of engineered tissues, and efficiently optimizing scaffold designs. As cells are ultimately the drivers of G&R and known to change their behavior in response to mechanical cues, increasing efforts are currently undertaken to capture (mechano-mediated) cell behavior in computational models. In this selective review, we highlight some recent examples that are relevant in the context of cardiovascular tissue engineering and discuss the current and future biological and computational challenges for modeling cell-mediated G&R.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalCurrent Opinion in Biomedical Engineering
Volume15
DOIs
Publication statusPublished - Sept 2020

Funding

This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (ERC StG MechanoSignaling [grant agreement no. 802967 ] (Sandra Loerakker) and ERC CoG ForceMorph [grant agreement no. 771168 ] (Tommaso Ristori)). The ICMS Animation Studio is gratefully acknowledged for providing the artwork.

FundersFunder number
ERC CoG ForceMorph
ERC StG MechanoSignaling
European Union's Horizon 2020 - Research and Innovation Framework Programme
European Union's Horizon 2020 - Research and Innovation Framework Programme
Horizon 2020 Framework Programme771168, 802967
European Research Council

    Keywords

    • Cell signaling
    • Computational modeling
    • Cytoskeletal remodeling
    • Growth and remodeling
    • Migration
    • Tissue engineering

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