Evidence map›Paper›PMID 29695077›Full record

ReviewBioengineering (Basel, Switzerland)2018

Role of Bioreactor Technology in Tissue Engineering for Clinical Use and Therapeutic Target Design.

Clare Selden, Barry Fuller

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  11. Article
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  15. Article
  16. Emerging Paradigms in Bioengineering the Lungs.Bioengineering (Basel, Switzerland) · 2022
    Review
  17. Article
  18. Integration of clinical perspective into biomimetic bioreactor design for orthopedics.Journal of biomedical materials research. Part B, Applied biomaterials · 2022
    Review
  19. Article
  20. 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

2 authors.

Clare SeldenInstitute for Liver and Digestive Health, Division of Medicine, Faculty of Medical Sciences, University College London, Royal Free Hospital Campus, Rowland Hill Street, Hampstead, London NW3 2PF, UK. c.selden@ucl.ac.uk.
Barry FullerDepartment of Nanotechnology, Division of Surgery & Interventional Science, Faculty of Medical Sciences, University College London, London NW3 2QG, UK. b.fuller@ucl.ac.uk.

Funding

Department of Health II-LA-0417-20002
6 · The paper itself

Abstract

Micro and small bioreactors are well described for use in bioprocess development in pre-production manufacture, using ultra-scale down and microfluidic methodology. However, the use of bioreactors to understand normal and pathophysiology by definition must be very different, and the constraints of the physiological environment influence such bioreactor design. This review considers the key elements necessary to enable bioreactors to address three main areas associated with biological systems. All entail recreation of the in vivo cell niche as faithfully as possible, so that they may be used to study molecular and cellular changes in normal physiology, with a view to creating tissue-engineered grafts for clinical use; understanding the pathophysiology of disease at the molecular level; defining possible therapeutic targets; and enabling appropriate pharmaceutical testing on a truly representative organoid, thus enabling better drug design, and simultaneously creating the potential to reduce the numbers of animals in research. The premise explored is that not only cellular signalling cues, but also mechano-transduction from mechanical cues, play an important role.

Indexed as

bioreactorcell signalingin vitro modelmechanotransductiontissue engineering

Identifiers

PMID29695077
PMCPMC6027481

What OpenQuestion holds

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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.