Evidence map›Paper›PMID 40811957›Full record

ArticleInternational dental journal2025

Microbiome Shifts in Peri-Implantitis: Longitudinal Characterization of Dysbiosis and Resolution.

Songtham Anuntakarun, Sermporn Thaweesapphithak, Annop Krasaesin, Sasiprapa Prommanee, Sirikarn Arunyanak, Kajorn Kungsadalpipob, Aneesha Acharya, Thantrira Porntaveetus, Nikos Mattheos

Abstract read
In one paragraph

Article in International dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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.

Songtham AnuntakarunCenter of Excellence in Precision Medicine and Digital Health, Department of Physiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Sermporn ThaweesapphithakCenter of Excellence in Precision Medicine and Digital Health, Department of Physiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Annop KrasaesinCenter of Excellence in Precision Medicine and Digital Health, Department of Physiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.
Sasiprapa PrommaneeCenter of Excellence in Precision Medicine and Digital Health, Department of Physiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand; Clinical Research Center, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Sirikarn ArunyanakCenter of Excellence in Periodontal Disease and Dental Implant, Department of Periodontology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Kajorn KungsadalpipobCenter of Excellence in Periodontal Disease and Dental Implant, Department of Periodontology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Aneesha AcharyaDepartment of Periodontics and Oral Implantology, Dr. D.Y. Patil Dental College and Hospital, Dr D Y Patil Vidyapeeth, Pune, India; Periodontology and Implant Dentistry, Faculty of Dentistry, The University of Hong Kong, Hong Kong.
Thantrira PorntaveetusCenter of Excellence in Precision Medicine and Digital Health, Department of Physiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand; Geriatric Dentistry and Special Patients Care International Program, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand; Clinic of General-, Special Care and Geriatric Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland.. Electronic address: thantrira.p@chula.ac.th.
Nikos MattheosDepartment of Oral and Maxillofacial Surgery, Chulalongkorn University, Bangkok, Thailand; Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo characterize the longitudinal dynamics of the peri-implant microbiome in patients with peri-implantitis and healthy implants.

methodsThe peri-implant microbiome was characterized longitudinally in patients with peri-implantitis and healthy implants via 16S rRNA gene sequencing. Samples were collected at baseline, 3-, and 6-months post-treatment. Bioinformatic analysis was performed to identify significant microbial shifts over time

resultsAt baseline, peri-implantitis sites exhibited significantly higher relative abundances of Prevotella (8.44%) and Fusobacterium (16.91%), compared to healthy implant sites, which were dominated by Streptococcus (16.91%) and Neisseria (10.06%). Post-treatment, Haemophilus increased in both groups by 3 months, particularly in peri-implantitis sites (19.94%). At 6 months, Streptococcus increased in PI sites (13.10%), while Veillonella and Neisseria remained prevalent in healthy sites. Differential abundance analysis confirmed partial recovery of peri-implantitis sites, with baseline dysbiosis marked by increased Veillonella, Treponema denticola, and Porphyromonas gingivalis.

conclusionsThis study highlights dynamic shifts in the peri-implant microbiome during peri-implantitis progression and recovery, marked by specific changes in Prevotella, Fusobacterium, Haemophilus, Streptococcus, Veillonella, and key periodontal pathogens. These longitudinal changes offer insights into disease pathogenesis and underscore the potential of microbiome-targeted therapies.

Indexed as

DysbiosisMicrobiotaPeri-ImplantitisAgedFemaleFusobacteriumHumansLongitudinal StudiesMaleMiddle AgedRNA, Ribosomal, 16SVeillonellaRNA, Ribosomal, 16SHealthcareHealth disparityImplantMicrobiomeSequencingTreatment

Identifiers

PMID40811957
PMCPMC12361765

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.