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

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Updated: Sep 13, 2025

Effects of Mechanical Methods Used in Peri-implantitis Treatment on Implant Surface Decontamination and Roughness
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Effects of Mechanical Methods Used in Peri-implantitis Treatment on Implant Surface Decontamination and Roughness

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The Submucosal Microbiome Correlates with Peri-implantitis Severity.

A A Joshi1,2, S P Szafrański1,2,3, M Steglich1,2

  • 1Department of Prosthetic Dentistry and Biomedical Materials Science, Hannover Medical School, Hannover, Germany.

Journal of Dental Research
|July 28, 2025
PubMed
Summary

Peri-implantitis severity is linked to specific changes in oral microbiome composition and function. Identifying these microbial signatures aids in diagnosing and stratifying peri-implantitis for better treatment.

Keywords:
biomarkersdental implant(s)genomicsmicrobiologyperi-implant infection(s)plaque/plaque biofilms

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Area of Science:

  • Microbiology
  • Periodontology
  • Genomics

Background:

  • Peri-implantitis is a growing concern, characterized by inflammation around implants.
  • Submucosal biofilms are a primary cause, influencing disease severity and progression.

Purpose of the Study:

  • To analyze the microbiome's composition and function in relation to peri-implantitis severity.
  • To identify microbial and metabolic markers associated with disease progression.

Main Methods:

  • Collected submucosal biofilm samples from 49 peri-implantitis cases.
  • Utilized 16S rRNA gene sequencing for microbial composition and metatranscriptomics for function.
  • Employed PICRUSt2 for metabolic pathway prediction.

Main Results:

  • Specific genera (e.g., *Pseudoramibacter*) correlated positively with peri-implantitis severity (probing depth).
  • Metabolic pathways like glycolysis and TCA cycle negatively correlated with probing depth.
  • Developed a quantitative microbial dysbiosis index strongly correlated with probing depth.

Conclusions:

  • Peri-implantitis severity is associated with distinct microbial and functional shifts.
  • Identified microbiome signatures can improve peri-implantitis diagnostics and stratification.
  • Findings support targeted interventions based on microbiome analysis.