Evidence map›Paper›PMID 28296966›Full record

ArticlePloS one2017

An oral multispecies biofilm model for high content screening applications.

Nadine Kommerein, Sascha N Stumpp, Mathias Müsken, Nina Ehlert, Andreas Winkel, Susanne Häussler, Peter Behrens, Falk F R Buettner, Meike Stiesch

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  14. Comparison ofBioMed research international · 2023
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  15. Article
  16. Article
  17. Succession of oral bacterial colonizers on dental implant materials: An in vitro biofilm model.Dental materials : official publication of the Academy of Dental Materials · 2022
    Article
  18. Article
  19. 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

9 authors at 4 institutions in 1 country.

Nadine KommereinDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Sascha N StumppDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Mathias MüskenInstitute of Molecular Bacteriology, TWINCORE, Centre of Experimental and Clinical Infection Research, Hannover, Germany.
Nina EhlertInstitute for Inorganic Chemistry, Leibniz University of Hannover, Hannover, Germany.
Andreas WinkelDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Susanne HäusslerInstitute of Molecular Bacteriology, TWINCORE, Centre of Experimental and Clinical Infection Research, Hannover, Germany.
Peter BehrensInstitute for Inorganic Chemistry, Leibniz University of Hannover, Hannover, Germany.
Falk F R BuettnerInstitute of Clinical Biochemistry, Hannover Medical School, Hannover, Germany.
Meike StieschDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DELeibniz University Hannover · DECenter for Experimental and Clinical Infection Research · DEHelmholtz Centre for Infection Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peri-implantitis caused by multispecies biofilms is a major complication in dental implant treatment. The bacterial infection surrounding dental implants can lead to bone loss and, in turn, to implant failure. A promising strategy to prevent these common complications is the development of implant surfaces that inhibit biofilm development. A reproducible and easy-to-use biofilm model as a test system for large scale screening of new implant surfaces with putative antibacterial potency is therefore of major importance. In the present study, we developed a highly reproducible in vitro four-species biofilm model consisting of the highly relevant oral bacterial species Streptococcus oralis, Actinomyces naeslundii, Veillonella dispar and Porphyromonas gingivalis. The application of live/dead staining, quantitative real time PCR (qRT-PCR), scanning electron microscopy (SEM) and urea-NaCl fluorescence in situ hybridization (urea-NaCl-FISH) revealed that the four-species biofilm community is robust in terms of biovolume, live/dead distribution and individual species distribution over time. The biofilm community is dominated by S. oralis, followed by V. dispar, A. naeslundii and P. gingivalis. The percentage distribution in this model closely reflects the situation in early native plaques and is therefore well suited as an in vitro model test system. Furthermore, despite its nearly native composition, the multispecies model does not depend on nutrient additives, such as native human saliva or serum, and is an inexpensive, easy to handle and highly reproducible alternative to the available model systems. The 96-well plate format enables high content screening for optimized implant surfaces impeding biofilm formation or the testing of multiple antimicrobial treatment strategies to fight multispecies biofilm infections, both exemplary proven in the manuscript.

Indexed as

BiofilmsBacteriaIn Situ Hybridization, FluorescenceMicroscopy, Electron, ScanningMouthSpecies Specificity

Identifiers

PMID28296966
PMCPMC5352027
OpenAlexW2597896033

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.