Evidence map›Paper›PMID 34500450›Full record

ArticleCells, tissues, organs2021

A Two-Step Bioreactor for Decellularized Lung Epithelialization.

Bethany M Young, Leigh-Ann M Antczak, Keerthana Shankar, Rebecca L Heise

Abstract read
In one paragraph

Article in Cells, tissues, organs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
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  3. Review
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  6. 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

4 authors.

Bethany M YoungDepartment of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia, USA.
Leigh-Ann M AntczakDepartment of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia, USA.
Keerthana ShankarDepartment of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia, USA.
Rebecca L HeiseDepartment of Biomedical Engineering, Virginia Commonwealth University, Richmond, Virginia, USA.

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Renato Martins · 1985 to 2026
$51.0M
Extracellular Matrix-Derived Nanoparticles for Repairing Lung InjuryR21HL146250 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI HEISE, REBECCA LONG · 2019 to 2020
$398k
NCI NIH HHS P30 CA016059NHLBI NIH HHS R21 HL146250
6 · The paper itself

Abstract

Bioreactors for the reseeding of decellularized lung scaffolds have evolved with various advancements, including biomimetic mechanical stimulation, constant nutrient flow, multi-output monitoring, and large mammal scaling. Although dynamic bioreactors are not new to the field of lung bioengineering, ideal conditions during cell seeding have not been extensively studied or controlled. To address the lack of cell dispersal in traditional seeding methods, we have designed a two-step bioreactor. The first step is a novel system that rotates a seeded lung every 20 min at different angles in a sequence designed to anchor 20% of cells to a particular location based on the known rate of attachment. The second step involves perfusion-ventilation culture to ensure nutrient dispersion and cellular growth. Compared to statically seeded lungs, rotationally seeded lungs had significantly increased dsDNA content and more uniform cellular distribution after perfusion and ventilation had been administered. The addition of this novel seeding system before traditional culture methods will aid in recellularizing the lung and other geometrically complex organs for tissue engineering.

Indexed as

Tissue EngineeringTissue ScaffoldsAnimalsBioreactorsLungPerfusionBioreactorDecellularized scaffoldLung tissue engineeringRotation seeding

Identifiers

PMID34500450
PMCPMC8497390

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Registered trials

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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.