Evidence map›Paper›PMID 32922679›Full record

ReviewJournal of oral microbiology2020

A review of co-culture models to study the oral microenvironment and disease.

Sophie E Mountcastle, Sophie C Cox, Rachel L Sammons, Sara Jabbari, Richard M Shelton, Sarah A Kuehne

Abstract readReview
In one paragraph

Review in Journal of oral microbiology, 2020. 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. Study Models forMicroorganisms · 2025
    Review
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  13. Review
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Co-Culture ofInternational journal of molecular sciences · 2024
    Article
  20. Article
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

6 authors.

Sophie E MountcastleEPSRC Centre for Doctoral Training in Physical Sciences for Health, University of Birmingham, Birmingham, UK.
Sophie C CoxSchool of Chemical Engineering, University of Birmingham, Birmingham, UK.
Rachel L SammonsSchool of Dentistry, University of Birmingham, Birmingham, UK.
Sara JabbariSchool of Mathematics, University of Birmingham, Birmingham, UK.
Richard M SheltonSchool of Dentistry, University of Birmingham, Birmingham, UK.
Sarah A KuehneSchool of Dentistry, University of Birmingham, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-cultures allow for the study of cell-cell interactions between different eukaryotic species or with bacteria. Such an approach has enabled researchers to more closely mimic complex tissue structures. This review is focused on co-culture systems modelling the oral cavity, which have been used to evaluate this unique cellular environment and understand disease progression. Over time, these systems have developed significantly from simple 2D eukaryotic cultures and planktonic bacteria to more complex 3D tissue engineered structures and biofilms. Careful selection and design of the co-culture along with critical parameters, such as seeding density and choice of analysis method, have resulted in several advances. This review provides a comparison of existing co-culture systems for the oral environment, with emphasis on progression of 3D models and the opportunity to harness techniques from other fields to improve current methods. While filling a gap in navigating this literature, this review ultimately supports the development of this vital technique in the field of oral biology.

Indexed as

3D-in vitro modelsbiofilmsCo-cultureNC3Rsoral cavityoral disease

Identifiers

PMID32922679
PMCPMC7448840

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.