Evidence map›Paper›PMID 35612797›Full record

ArticleAdvances in experimental medicine and biology2022

Recent Updates on Microbial Biofilms in Periodontitis: An Analysis of In Vitro Biofilm Models.

Maick Meneguzzo Prado, Nathalia Figueiredo, Andréa de Lima Pimenta, Tamires Szeremeske Miranda, Magda Feres, Luciene Cristina Figueiredo, Josiane de Almeida, Bruno Bueno-Silva

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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
16.8field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Understanding bacterial biofilms: From definition to treatment strategies.Frontiers in cellular and infection microbiology · 2023
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Oral Prevalence ofPathogens (Basel, Switzerland) · 2024
    Article
  9. Review
  10. Article
  11. Rhamnolipid 89 Biosurfactant Is Effective againstInternational journal of molecular sciences · 2023
    Article
  12. Review
  13. Review
  14. Article
  15. 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

8 authors at 4 institutions in 2 countries.

Maick Meneguzzo PradoChemical and Food Engineering Department, Federal University of Santa Catarina, Florianópolis, SC, Brazil. maickmeneguzzo@gmail.com.ORCID https://orcid.org/0000-0002-7539-8717
Nathalia FigueiredoDental Research Division, Guarulhos University, Guarulhos, SP, Brazil.
Andréa de Lima PimentaChemical and Food Engineering Department, Federal University of Santa Catarina, Florianópolis, SC, Brazil.
Tamires Szeremeske MirandaDental Research Division, Guarulhos University, Guarulhos, SP, Brazil.
Magda FeresDental Research Division, Guarulhos University, Guarulhos, SP, Brazil.
Luciene Cristina FigueiredoDental Research Division, Guarulhos University, Guarulhos, SP, Brazil.
Josiane de AlmeidaFaculty of Dentistry, Department of Endodontics, University of Southern Santa Catarina, Tubarão, Brazil.
Bruno Bueno-SilvaDepartment of Biology, ERRMECe, Université de CergyPontoise, Maison Internationale de la Recherche, Pontoise, France.ORCID https://orcid.org/0000-0003-3275-5910
Guarulhos University · BRUniversidade Federal de Santa Catarina · BRCY Cergy Paris Université · FRUniversidade do Sul de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of oral biofilm models has been extremely important to study the specific role of most microbial species at the early stages of periodontitis. The current knowledge on monospecies or multispecies biofilms originates mainly from the observation of in vitro dynamic or static biofilm model systems, which were engineered to mimic clinical oral conditions. In the last few decades, mounting evidence has confirmed that biofilms are the major form of bacterial lifestyle, and more importantly, that microorganisms dwelling in sessile mixed-species aggregates display completely different phenotypes and physiological characteristics than when living in planktonic pure cultures. Interspecies interactions within these communities, mediated by chemical communication systems, have been shown to affect biofilm physiology and increase antimicrobial resistance by up to 1000 fold. These aspects reinforce the importance of developing multispecies biofilm models to better understand and control biofilms. Literature reports demonstrate that while monospecies models are still most commonly used in caries research, authors have used different multispecies models to study periodontal diseases. Periodontitis is a polymicrobial biofilm-dependent disease mainly associated with Porphyromonas gingivalis, Tannerella forsythia, and Treponema denticola. Interestingly, these species hardly adhere to substrates commonly used for biofilm formation, which makes multispecies models essential for an accurate analysis of periodontitis-related biofilms. The multispecies models currently available are generally composed of 6-10 species, but a more recent 34-species model was developed to better examine the dynamics within oral biofilms. The complexity of such polymicrobial biofilm models mimics more consistently the oral microbiome and different aspects of the oral environment. Collectively, the evidence on multispecies biofilm models described herein may support future studies on the use of antimicrobials for biofilm control as well as provide research opportunities to expand the current knowledge on interspecies interactions. The present manuscript reviews the most recent updates on in vitro biofilm model systems for periodontitis.

Indexed as

PeriodontitisTreponema denticolaBiofilmsHumansPlanktonPorphyromonas gingivalisIn vitro modelMultispecies biofilmPeriodontitis

Identifiers

PMID35612797
OpenAlexW4285171407

What OpenQuestion holds

Textmetadata
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.