Evidence map›Paper›PMID 41709254›Full record

ArticleBMC oral health2026

Submucosal microbiota profile in peri-implant health, peri-implant mucositis, and different severity levels of peri-implantitis.

Hanife Merva Parlak, Ceren Ozkul, Abdullah C Akman, Guliz N Guncu, Koray Ergunay, Yakut Akyon

Abstract read
In one paragraph

Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hanife Merva ParlakDepartment of Periodontology, Faculty of Dentistry, Hacettepe University, Ankara, 06100, Turkey. mervaparlakdt@gmail.com.
Ceren OzkulDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Hacettepe University, Ankara, Turkey.
Abdullah C AkmanDepartment of Periodontology, Faculty of Dentistry, Hacettepe University, Ankara, 06100, Turkey.
Guliz N GuncuDepartment of Periodontology, Faculty of Dentistry, Hacettepe University, Ankara, 06100, Turkey.
Koray ErgunayDepartment of Medical Microbiology, Faculty of Medicine, Hacettepe University, Ankara, Turkey.
Yakut AkyonDepartment of Medical Microbiology, Faculty of Medicine, Hacettepe University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe unique and complex peri-implant microbiota harbors many species, mostly bacteria, and dysbiotic shift in microbiota induces peri-implant diseases. The aim of the study was to investigate the compositions and differences in submucosal microbial profiles in subject with different peri-implant heath statues, from peri-implant healthy (PH) to advanced peri-implantitis (PI).

methodsSubmucosal plaque samples were obtained from 78 individuals with PH, peri-implant mucositis (PM), early, moderate, and advanced PI (PH:16, PM:16, PI-early: 14, PI-moderate: 16, and PI-advanced:16) and analyzed using sequencing of 16S rRNA gene. Differences of submucosal microbiome profiles between groups were evaluated with taxonomic abundances and microbial diversity using the alpha-diversity metrics (observed features, Shannon index, and Chao1 index), beta-diversity metrics (Bray–Curtis dissimilarity, unweighted, and weighted UniFrac distance), and linear discriminant analysis effect size analysis.

resultsAccording to alpha-diversity and beta-diversity analysis, the submucosal microbiota diversity showed no difference in the PI, PM, and PH sites. Prevotella, Fusobacterium, Bacteroides, Treponema, Porphyromonas, Fretibacterium, and Veillonella genera showed high abundance in the PI groups. At the genus-level, compositional differences between two distinct clinical groups were found. Pseudoramibacter was significantly enriched in PM and PI groups compared to PH. Fretibacterium was the most discriminative taxa between PI-early and PH.

conclusionsDespite similar overall microbial diversity, distinct compositional shifts in the submucosal microbiota were observed across peri-implant health and disease. Specific genera, particularly Fretibacterium and Pseudoramibacter, were associated with disease conditions and may serve as potential candidates for future biomarker research. These findings suggest that microbial composition, in addition to diversity, could be relevant to understanding peri-implant disease processes and may inform the development of diagnostic and preventive strategies.

Indexed as

Dental ImplantsMicrobiotaPeri-ImplantitisStomatitisAgedBacteriaFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SDental ImplantsRNA, Ribosomal, 16S16S ribosomal RNA sequencingBiofilmsMicrobiotaMucositisPeri-implantitis

Identifiers

PMID41709254
PMCPMC13020356

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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.