Evidence map›Paper›PMID 40589868›Full record

ArticleFrontiers in cellular and infection microbiology2025

Oral bacterial community dynamics during induction of gingival inflammation.

Bart J F Keijser, Tim J van den Broek, Michelle van der Wurff, Remon Dulos, Ferry Jagers, Jolanda Kool, Martijn Rosema, Elena A Nicu, Wim Crielaard, Bruno G Loos and 2 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

12 authors.

Bart J F KeijserResearch Group Microbiology and Systems Biology, TNO, Leiden, Netherlands.
Tim J van den BroekResearch Group Microbiology and Systems Biology, TNO, Leiden, Netherlands.
Michelle van der WurffResearch Group Microbiology and Systems Biology, TNO, Leiden, Netherlands.
Remon DulosResearch Group Microbiology and Systems Biology, TNO, Leiden, Netherlands.
Ferry JagersResearch Group Microbiology and Systems Biology, TNO, Leiden, Netherlands.
Jolanda KoolResearch Group Microbiology and Systems Biology, TNO, Leiden, Netherlands.
Martijn RosemaDepartment of Periodontology, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Elena A NicuDepartment of Periodontology, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Wim CrielaardDepartment of Preventive Dentistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Bruno G LoosDepartment of Periodontology, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Bernd W BrandtDepartment of Preventive Dentistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Egija ZauraDepartment of Preventive Dentistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The human oral cavity is a complex and dynamic microbial ecosystem integral to oral and overall health. While the specific roles of microbial communities in health and disease are not fully understood, dysbiosis of the oral microbiota is, along with inadequate immune fitness, recognized as a key factor driving the onset of inflammatory conditions such as gingivitis. Gingivitis, an early and reversible stage of periodontal disease, involves shifts in microbial composition and diversity. This study aimed to investigate the compositional dynamics of the oral microbiota during the early stages of gingival inflammation, focusing on changes across multiple oral niches and their relationship to clinical outcomes. Methods: We conducted an experimental gingivitis intervention study with 41 healthy volunteers. After a two-week baseline period, participants refrained from oral hygiene for two weeks to induce gingivitis, followed by a one-week resolution phase with resumed oral hygiene. Clinical parameters, including plaque and bleeding scores, were monitored at seven time points. Samples from saliva and five oral niches (tongue, keratinized gingiva, supragingival, subgingival, and interproximal dental plaque) were collected and analyzed using 16S rRNA gene sequencing. Multivariate statistical analyses were applied to evaluate microbial dynamics and their associations with clinical outcomes. Results: The study revealed pronounced microbial changes, particularly in supragingival plaque, where Conclusion: This study concludes that occurrence of dental plaque and gingival bleeding are independent clinical parameters, linked to bacterial load and composition, respectively. Interactions between multiple niches, especially the tongue, influence clinical outcomes, highlighting a complex, nonlinear dynamic behavior in the oral microbiota. These findings suggest intricate ecological interactions that may approach tipping points, advancing understanding of microbial dynamics during gingival inflammation and informing future strategies for managing gingivitis.

Indexed as

BacteriaGingivitisMicrobiotaMouthAdultDental PlaqueDNA, BacterialDysbiosisFemaleGingivaHealthy VolunteersHumansMaleOral HygieneRNA, Ribosomal, 16SSalivaDNA, BacterialRNA, Ribosomal, 16S16S rRNA gene sequencingdysbiosisgingivitisinflammationmicrobial dynamicsoral microbiotaplaque

Identifiers

PMID40589868
PMCPMC12206739

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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.