Evidence map›Paper›PMID 40183834›Full record

ArticleBiomechanics and modeling in mechanobiology2025

Smooth leaflets with curved belly and attachment edge profiles promote adaptive remodeling in tissue-engineered heart valves: an in silico study.

Valery L Visser, Sarah E Motta, Simon P Hoerstrup, Frank P T Baaijens, Sandra Loerakker, Maximilian Y Emmert

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Article in Biomechanics and modeling in mechanobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Biofidelic Simulations of the Ross Procedure: Arterial Growth and Remodeling in an Anatomical Context.International journal for numerical methods in biomedical engineering · 2026
    Article
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Valery L VisserInstitute for Regenerative Medicine, University of Zürich, Zurich, Switzerland.
Sarah E MottaInstitute for Regenerative Medicine, University of Zürich, Zurich, Switzerland.
Simon P HoerstrupInstitute for Regenerative Medicine, University of Zürich, Zurich, Switzerland.
Frank P T BaaijensDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Sandra Loerakker *Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. s.loerakker@tue.nl.
Maximilian Y Emmert *Institute for Regenerative Medicine, University of Zürich, Zurich, Switzerland. maximilian.emmert@access.uzh.ch.

Funding

European Research Council 802967European Research Council 852814
6 · The paper itself

Abstract

Tissue-engineered heart valves (TEHVs) are promising valve replacements due to their potential to regenerate into living heart valves, capable of growth and adaptation. Previous TEHVs showed promising results, but often developed progressive leaflet retraction in the long term. In a prior proof-of-concept study, we demonstrated that a novel geometry with more native-like mechanical behavior could give rise to more adaptive remodeling, thereby minimizing leaflet retraction in vivo. In the current study, we aimed to systematically analyze the impact of TEHV geometry on in vivo remodeling under both pulmonary and aortic conditions. Using a bio-inspired in silico framework, we predicted cell-driven, mechano-mediated remodeling in TEHVs post-implantation. Two parameterized valve designs were evaluated under both pulmonary and aortic pressure conditions. The results indicate that a valve design with smooth leaflets, a curved belly profile, and medium to wide attachment edge effectively minimizes stress concentrations and reduces the risk of valve insufficiency in both conditions. Additionally, this design should be tailored to specific hemodynamic conditions to prevent retraction in pulmonary applications and excessive stress concentrations in aortic applications. These insights provide essential guidelines for optimizing TEHV designs, aiming to promote functional remodeling and maintain valve functionality over time, thereby advancing the development of next-generation TEHVs with enhanced long-term outcomes.

Indexed as

Computer SimulationHeart Valve ProsthesisHeart ValvesTissue EngineeringBiomechanical PhenomenaHumansProsthesis DesignStress, MechanicalBiomechanicsCollagen remodelingComputational modelingHeart valve designHeart valve tissue engineeringTissue-engineered heart valve

Identifiers

PMID40183834
PMCPMC12162809

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.