4.3 Article

Oral Microcosm Biofilms Grown under Conditions Progressing from Peri-Implant Health, Peri-Implant Mucositis, and Peri-Implantitis

出版社

MDPI
DOI: 10.3390/ijerph192114088

关键词

peri-implantitis; therapy; microcosm; oral biofilm; modelling biofilms; microbiome; microbial ecology

资金

  1. UCLH/UCL Biomedical Research Centre
  2. National Institute for Health Research
  3. University College London (UCL Graduate Fellowships)
  4. National Council for Science and Technology
  5. Institut Straumann AG, Basel, Switzerland

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This study developed a novel in vitro microcosm biofilm model for peri-implantitis, a disease influenced by dysbiotic microbial communities. The model successfully simulated the progression from peri-implant mucositis to peri-implantitis and identified the bacterial shifts associated with the disease. This research provides valuable insights into the development of peri-implantitis and its treatment.
Peri-implantitis is a disease influenced by dysbiotic microbial communities that play a role in the short- and long-term outcomes of its clinical treatment. The ecological triggers that establish the progression from peri-implant mucositis to peri-implantitis remain unknown. This investigation describes the development of a novel in vitro microcosm biofilm model. Biofilms were grown over 30 days over machined titanium discs in a constant depth film fermentor (CDFF), which was inoculated (I) with pooled human saliva. Following longitudinal biofilm sampling across peri-implant health (PH), peri-implant mucositis (PM), and peri-implantitis (PI) conditions, the characterisation of the biofilms was performed. The biofilm analyses included imaging by confocal laser scanning microscopy (CLSM) and scanning electron microscopy (SEM), selective and non-selective culture media of viable biofilms, and 16S rRNA gene amplification and sequencing. Bacterial qualitative shifts were observed by CLSM and SEM across conditions, which were defined by characteristic phenotypes. A total of 9 phyla, 83 genera, and 156 species were identified throughout the experiment. The phyla Proteobacteria, Bacteroidetes, Firmicutes, Fusobacteria, and Actinobacteria showed the highest prevalence in PI conditions. This novel in vitro microcosm model provides a high-throughput alternative for growing microcosm biofilms resembling an in vitro progression from PH-PM-PI conditions.

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