Evidence map›Paper›PMID 38535269›Full record

ArticleJournal of functional biomaterials2024

Shear Stress Quantification in Tissue Engineering Bioreactor Heart Valves: A Computational Approach.

Raj Dave, Giulia Luraghi, Leslie Sierad, Francesco Migliavacca, Ethan Kung

Open access · goldAbstract read
In one paragraph

Article in Journal of functional biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Review
4 · The record

Corrections and comments

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

5 authors at 2 institutions in 2 countries.

Raj DaveDepartment of Mechanical Engineering, Clemson University, Clemson, SC 29634, USA.ORCID 0009-0005-1268-9647
Giulia LuraghiDepartment of Chemistry, Material and Chemical Engineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0000-0002-0434-8544
Leslie SieradAptus, LLC, Clemson, SC 29631, USA.
Francesco MigliavaccaDepartment of Chemistry, Material and Chemical Engineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0000-0003-4644-630X
Ethan KungDepartment of Mechanical Engineering, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0002-2532-2458
Clemson University · USPolitecnico di Milano · IT

Funding

Clemson University NANational Science Foundation 1749017
6 · The paper itself

Abstract

Tissue-engineered heart valves can grow, repair, and remodel after implantation, presenting a more favorable long-term solution compared to mechanical and porcine valves. Achieving functional engineered valve tissue requires the maturation of human cells seeded onto valve scaffolds under favorable growth conditions in bioreactors. The mechanical stress and strain on developing valve tissue caused by different pressure and flow conditions in bioreactors are currently unknown. The aim of this study is to quantify the wall shear stress (WSS) magnitude in heart valve prostheses under different valve geometries and bioreactor flow rates. To achieve this, this study used fluid-structure interaction simulations to obtain the valve's opening geometries during the systolic phase. These geometries were then used in computational fluid dynamics simulations with refined near-wall mesh elements and ranges of prescribed inlet flow rates. The data obtained included histograms and regression curves that characterized the distribution, peak, and median WSS for various flow rates and valve opening configurations. This study also found that the upper region of the valve near the commissures experienced higher WSS magnitudes than the rest of the valve.

Indexed as

CFDcomputational modelFSITEHVwall shear stress quantification

Identifiers

PMID38535269
PMCPMC10971346
OpenAlexW4393003379

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.