Evidence map›Paper›PMID 32429904›Full record

ArticleBMC oral health2020

Development and application of a 3D periodontal in vitro model for the evaluation of fibrillar biomaterials.

Franziska Koch, Nina Meyer, Silvio Valdec, Ronald E Jung, Stephanie H Mathes

Open access · goldAbstract read
In one paragraph

Article in BMC oral health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. New Insights in Hydrogels for Periodontal Regeneration.Journal of functional biomaterials · 2023
    Review
  8. PreclinicalFrontiers in bioengineering and biotechnology · 2023
    Review
  9. Article
  10. Biomaterials for Periodontal Regeneration.Dental clinics of North America · 2022
    Review
  11. Review
  12. Review
  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

5 authors at 4 institutions in 1 country.

Franziska KochUniversity of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Institute for Chemistry and Bioanalytics, 4132, Muttenz, Switzerland.
Nina MeyerDepartment for Chemistry and Biotechnology, Tissue Engineering, Zurich University of Applied Sciences, 8820, Wädenswil, Switzerland.
Silvio ValdecClinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, University Hospital Zurich, 8032, Zürich, Switzerland.
Ronald E JungClinic of Fixed and Removable Prosthodontics and Dental, Material Science, Center of Dental Medicine, 8032, Zürich, Switzerland.
Stephanie H MathesDepartment for Chemistry and Biotechnology, Tissue Engineering, Zurich University of Applied Sciences, 8820, Wädenswil, Switzerland. Stephanie.mathes@outlook.com.ORCID 0000-0002-1305-3596
FHNW University of Applied Sciences and Arts · CHUniversity of Zurich · CHZHAW Zurich University of Applied Sciences · CHZHAW Zurich University of Applied Sciences · CH

Funding

InnoSwiss PFLS -LS 17310.1
6 · The paper itself

Abstract

backgroundPeriodontitis is a chronic inflammation of the tooth supporting structures that finally can lead to tooth loss. As chronic periodontitis is associated with systemic diseases multiple approaches have been followed to support regeneration of the destructed tissue. But very few materials are actually used in the clinic. A new and promising group of biomaterials with advantageous biomechanical properties that have the ability to support periodontal regeneration are self-assembling peptides (SAP). However, there is still a lack of 3D periodontal models that can evaluate the migration potential of such novel materials.

methodsAll experiments were performed with primary human periodontal ligament fibroblasts (HPLF). Migration capacity was assessed in a three-dimensional model of the human periodontal ligament by measuring the migration distance of viable cells on coated (Enamel Matrix Protein (EMP), P11-4, collagen I) or uncoated human dentin. Cellular metabolic activity on P11-4 hydrogels was assessed by a metabolic activity assay. Deposition of ECM molecules in a P11-4 hydrogel was visualized by immunostaining of collagen I and III and fibrillin I.

resultsThe 3D periodontal model was feasible to show the positive effect of EMP for periodontal regeneration. Subsequently, self-assembling peptide P11-4 was used to evaluate its capacity to support regenerative processes in the 3D periodontal model. HPLF coverage of the dentin surface coated with P11-4 increased significantly over time, even though delayed compared to EMP. Cell viability increased and inclusion of ECM proteins into the biomaterial was shown.

conclusionThe presented results indicate that the 3D periodontal model is feasible to assess periodontal defect coverage and that P11-4 serves as an efficient supporter of regenerative processes in the periodontal ligament. CLINICAL RELEVANCE: The establishment of building-block synthetic polymers offers new opportunities for clinical application in dentistry. Self-assembling peptides represent a new generation of biomaterials as they are able to respond dynamically to the changing environment of the biological surrounding. Especially in the context of peri-implant disease prevention and treatment they enable the implementation of new concepts.

Indexed as

Periodontal LigamentBiocompatible MaterialsFibroblastsHumansPeriodontitisPeriodontiumRegenerationTissue EngineeringBiocompatible Materials3D modelPeriodontal ligamentRegenerationSelf-assembling peptide

Identifiers

PMID32429904
PMCPMC7238548
OpenAlexW3027612059

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.