Evidence map›Paper›PMID 28083925›Full record

ArticleJournal of tissue engineering and regenerative medicine2018

Controlled gas exchange in whole lung bioreactors.

Alexander J Engler, Andrew V Le, Pavlina Baevova, Laura E Niklason

Open access · greenAbstract read
In one paragraph

Article in Journal of tissue engineering and regenerative medicine, 2018. 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
1.5field-weighted citation impact, top 19% 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, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Incubator-Free Organoid Culture in a Sealed Recirculatory System.bioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. Review
  6. Lung Tissue Engineering: Toward a More Deliberate Approach.ACS biomaterials science & engineering · 2022
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Lung Microvascular Niche, Repair, and Engineering.Frontiers in bioengineering and biotechnology · 2020
    Review
  12. Article
  13. 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 at 1 institution in 1 country.

Alexander J EnglerDepartment of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, CT, USA.ORCID 0000-0001-8691-2614
Andrew V LeDepartment of Anesthesiology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-9301-0616
Pavlina BaevovaDepartment of Anesthesiology, Yale University School of Medicine, New Haven, CT, USA.
Laura E NiklasonDepartment of Biomedical Engineering, Yale University School of Engineering and Applied Science, New Haven, CT, USA.
Yale University · US

Funding

Research Training in AnesthesiaT32GM086287 · NIGMS · YALE UNIVERSITY · PI ROBERT SCHONBERGER · 2009 to 2026
$3.7M
Matrix and Bioreactors for Human Lung RegenerationU01HL111016 · NHLBI · YALE UNIVERSITY · PI NIKLASON, LAURA E, WHITE, ERIC S · 2012 to 2016
$3.2M
NHLBI NIH HHS U01 HL111016NIGMS NIH HHS T32 GM086287
6 · The paper itself

Abstract

In cellular, tissue-level or whole organ bioreactors, the level of dissolved oxygen is one of the most important factors requiring control. Hypoxic environments may lead to cellular apoptosis, while hyperoxic environments may lead to cellular damage or dedifferentiation, both resulting in loss of overall tissue function. This manuscript describes the creation, characterization and validation of a bioreactor system that can control oxygen delivery based on real-time metabolic demand of cultured whole lung tissue. A mathematical model describing and predicting gas exchange within the tunable bioreactor system is developed. In addition, the inherent gas exchange properties of the bioreactor and the inherent oxygen consumption rates of native rat lungs are determined, thereby providing a quantitative relationship between system parameters and levels of dissolved oxygen. Finally, the mathematical model is validated during whole lung culture under a range of system parameters. The system presented here provides a quantitative relationship between the concentration of dissolved oxygen, tissue oxygen consumption rates, and controllable system parameters that introduce gasses into the bioreactor. This relationship not only enables the maintenance of constant levels of dissolved oxygen throughout a culture period during which cells are replicating, but also provides noninvasive and real-time estimation of the metabolic and proliferative states of native or engineered lung tissue simply through dissolved oxygen measurements. Copyright © 2017 John Wiley & Sons, Ltd.

Indexed as

BioreactorsAnimalsCell CountDNAEquipment DesignGasesImage Processing, Computer-AssistedLungModels, BiologicalOxygen ConsumptionRats, Sprague-DawleyReproducibility of ResultsDNAGasesbioreactorgas exchangelungmathematical modeloxygen

Identifiers

PMID28083925
PMCPMC5975638
OpenAlexW2573812776

What OpenQuestion holds

Textmetadata
LicenceTDM
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.