ArticleJournal of clinical periodontology2025
Profiling the Bacterial Microbiome Across Peri-Implant Conditions.
Article in Journal of clinical periodontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Dual-function thermoresponsive antibiotic-loaded hydrogel with antimicrobial and osteogenic properties for implant-related infection control.Bioactive materials · 2026Article
- Phylogenetic and Functional Analysis of β-Glucanases in Tannerella forsythia Reveals Distinct GH16 Family Glycoside Hydrolase Lineages in Oral Bacteria.Research square · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
aimTo comprehensively characterise the bacterial microbiome in peri-implant health, peri-implant mucositis and peri-implantitis. MATERIALS AND
methodsA re-analysis of raw microbiome data was performed from 15 studies, which were finally selected based on the availability of 16S rRNA sequencing. Reads were pre-processed using mothur and classified using the HOMD database. A total of 522 samples were analysed to evaluate diversity estimates and bacterial relative abundance, identifying discriminant features via LEfSe, while predictions of functional potential were obtained using PICRUSt2. Bacterial co-occurrence networks were constructed, and dysbiosis was measured by employing the subgingival microbiome dysbiosis index.
resultsPeri-implantitis showed higher bacterial diversity compared to health and greater microbial richness than peri-mucositis. Each clinical condition displayed a distinct community structure and bacterial co-occurrence networks. The representative species in peri-implant health were Rothia aeria , R. dentocariosa and Veillonella parvula_dispar. Peri-mucositis is characterised by Leptotrichia hongkongensis , L. wadei and Fusobacterium nucleatum subsp. polymorphum, while peri-implantitis is defined by Porphyromonas gingivalis , F. nucleatum subsp. vincentii and Tannerella forsythia . Peri-implantitis exhibited enrichment in predicted microbial pathogenesis pathways and greater bacterial dysbiosis.
conclusionsThese results provide deeper insights into the peri-implant microbiome, identifying key bacterial species, functional processes and interactions that may be crucial to inflammation and destruction during peri-implant diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.