Evidence map›Paper›PMID 39590534›Full record

ReviewJournal of functional biomaterials2024

Bioengineering the Junctional Epithelium in 3D Oral Mucosa Models.

Marianna Gavriiloglou, Mira Hammad, Jordan M Iliopoulos, Pierre Layrolle, Danae A Apazidou

Abstract readReview
In one paragraph

Review in Journal of functional biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Marianna GavriiloglouDepartment of Preventive Dentistry, Periodontology & Implant Biology, School of Dentistry, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece.
Mira HammadToulouse NeuroImaging Center (ToNIC), INSERM, Toulouse University UMR 1214, CHU Toulouse Purpan, 31024 Toulouse, France.
Jordan M IliopoulosFaculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece.ORCID 0000-0002-1257-2095
Pierre LayrolleToulouse NeuroImaging Center (ToNIC), INSERM, Toulouse University UMR 1214, CHU Toulouse Purpan, 31024 Toulouse, France.ORCID 0000-0001-9800-5210
Danae A ApazidouDepartment of Preventive Dentistry, Periodontology & Implant Biology, School of Dentistry, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece.ORCID 0000-0003-4972-9532

Funding

ITI International Team for Implantology 1653-2022
6 · The paper itself

Abstract

Two-dimensional (2D) culture models and animal experiments have been widely used to study the pathogenesis of periodontal and peri-implant diseases and to test new treatment approaches. However, neither of them can reproduce the complexity of human periodontal tissues, making the development of a successful 3D oral mucosal model a necessity. The soft-tissue attachment formed around a tooth or an implant function like a biologic seal, protecting the deeper tissues from bacterial infection. The aim of this review is to explore the advancements made so far in the biofabrication of a junctional epithelium around a tooth-like or an implant insert in vitro. This review focuses on the origin of cells and the variety of extracellular components and biomaterials that have been used for the biofabrication of 3D oral mucosa models. The existing 3D models recapitulate soft-tissue attachment around implant abutments and hydroxyapatite discs. Hereby, the qualitative and quantitative assessments performed for evidencing the soft-tissue attachment are critically reviewed. In perspective, the design of sophisticated 3D models should work together for oral immunology and microbiology biofilms to accurately reproduce periodontal and peri-implant diseases.

Indexed as

3D oral mucosa modelfibroblastsgingivaimplant insertjunctional epitheliumkeratinocytessoft-tissue barriertooth insert

Identifiers

PMID39590534
PMCPMC11595533

What OpenQuestion holds

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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.