Evidence map›Paper›PMID 32486307›Full record

ArticlePolymers2020

Quantifying Oxygen Levels in 3D Bioprinted Cell-Laden Thick Constructs with Perfusable Microchannel Networks.

Lara Figueiredo, Catherine Le Visage, Pierre Weiss, Jing Yang

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  6. Review
  7. Diffusion-Based 3D Bioprinting Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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  9. Article
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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 at 2 institutions in 2 countries.

Lara FigueiredoRegenerative Medicine and Cellular Therapies Group, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK.
Catherine Le VisageUMR 1229, RMeS, Regenerative Medicine and Skeleton, Université de Nantes, INSERM, ONIRIS, F-44042 Nantes, France.ORCID 0000-0003-1816-1649
Pierre WeissUMR 1229, RMeS, Regenerative Medicine and Skeleton, Université de Nantes, INSERM, ONIRIS, F-44042 Nantes, France.ORCID 0000-0002-6159-8590
Jing YangRegenerative Medicine and Cellular Therapies Group, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK.ORCID 0000-0002-8822-7124
Inserm · FRUniversity of Nottingham · GB

Funding

Education, Audiovisual and Culture Executive Agency 520170
6 · The paper itself

Abstract

The survival and function of thick tissue engineered implanted constructs depends on pre-existing, embedded, functional, vascular-like structures that are able to integrate with the host vasculature. Bioprinting was employed to build perfusable vascular-like networks within thick constructs. However, the improvement of oxygen transportation facilitated by these vascular-like networks was directly quantified. Using an optical fiber oxygen sensor, we measured the oxygen content at different positions within 3D bioprinted constructs with and without perfusable microchannel networks. Perfusion was found to play an essential role in maintaining relatively high oxygen content in cell-laden constructs and, consequently, high cell viability. The concentration of oxygen changes following switching on and off the perfusion. Oxygen concentration depletes quickly after pausing perfusion but recovers rapidly after resuming the perfusion. The quantification of oxygen levels within cell-laden hydrogel constructs could provide insight into channel network design and cellular responses.

Indexed as

3D bioprintinghydrogelmicrochannelsmicrofluidicsoxygensilated-HPMC

Identifiers

PMID32486307
PMCPMC7361700
OpenAlexW3032493187

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.