Evidence map›Paper›PMID 40858628›Full record

ArticleNPJ biofilms and microbiomes2025

Integrative microbiome- and metatranscriptome-based analyses reveal diagnostic biomarkers for peri-implantitis.

Amruta A Joshi, Szymon P Szafrański, Matthias Steglich, Ines Yang, Taoran Qu, Paula Schaefer-Dreyer, Xing Xiao, Wiebke Behrens, Jasmin Grischke, Susanne Häussler and 1 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Synergistic potential of antibiotics against anFrontiers in bioengineering and biotechnology · 2026
    Article
  5. 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

11 authors.

Amruta A Joshi *Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Szymon P Szafrański *Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.ORCID http://orcid.org/0000-0002-0607-6976
Matthias SteglichDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Ines YangDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Taoran QuDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Paula Schaefer-DreyerDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Xing XiaoDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Wiebke BehrensDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Jasmin GrischkeDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.
Susanne HäusslerCluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany.ORCID http://orcid.org/0000-0001-6141-9102
Meike StieschDepartment of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany. stiesch.meike@mh-hannover.de.

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) Germany's Excellence Strategy - EXC 2155 - project number 390874280Deutsche Forschungsgemeinschaft (German Research Foundation) SFB/TRR-298-SIIRI - Project-ID 426335750
6 · The paper itself

Abstract

Peri-implantitis is a severe biofilm-associated infection affecting millions worldwide. This cross-sectional study aimed to identify taxonomic and functional biomarkers that reliably indicate peri-implantitis by utilizing paired data from full length 16S rRNA gene amplicon sequencing (full-16S) and metatranscriptomics (RNAseq) in 48 biofilm samples from 32 patients. Both full-16S and RNAseq analyses revealed significant differences between healthy and peri-implantitis samples, with a shift toward anaerobic Gram-negative bacteria in peri-implantitis. Metatranscriptomics identified enzymatic activities and metabolic pathways associated with peri-implantitis and uncovered complex peri-implant biofilm ecology related to amino acid metabolism. Integrating taxonomic and functional data enhanced predictive accuracy (AUC = 0.85) and revealed diagnostic biomarkers including health-associated Streptococcus and Rothia species and peri-implantitis-associated enzymes (urocanate hydratase, tripeptide aminopeptidase, NADH:ubiquinone reductase, phosphoenolpyruvate carboxykinase and polyribonucleotide nucleotidyltransferase). Thus, biofilm profiling at taxonomic and functional levels provides highly predictive disease biomarkers, laying the foundation for novel diagnostic and personalized treatment approaches for peri-implant disease.

Indexed as

BacteriaMicrobiotaPeri-ImplantitisTranscriptomeAgedBiofilmsBiomarkersCross-Sectional StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16S

Identifiers

PMID40858628
PMCPMC12381052

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Registered trials

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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.