Project description
Profiling of dental plaque microbes to fight peri-implant diseases
Diseases affecting dental implants such as peri-implantitis are caused by dental plaque bacteria. However, profiling of the microbial communities around dental implants is not part of standard healthcare. The key objective of the EU-funded PB3P project is to develop a product for dental clinics that combines high-resolution metagenomic profiling and predictive machine learning methods. This will help delineate a reproducible microbial signature for peri-implant diseases and formulate treatment policies for maintaining dental care. Importantly, the PB3P solution will take into consideration plaque microbiome diversity towards a personalised approach for dental clinics.
Objective
Oral diseases are a global medical and socioeconomic burden. Diseases affecting dental implants (peri-implant mucositis and peri-implantitis) are particularly on the rise, and despite the plaque microbiome plays a crucial role in their etiology, the potential of profiling the microbial communities around implants for supporting implant care has not been exploited yet for clinical applications. The availability of metagenomic tools able to profile human microbiomes at unprecedented resolution developed within the ERC-StG MetaPG project and a pilot study we recently performed on the peri-implant microbiome are now enabling such tantalizing opportunity. In this PoC proposal, we aim to develop a product for dental clinics to provide clinically actionable indications for the prevention and treatment of peri-implant diseases by a combination of high-resolution strain-level metagenomic profiling and predictive machine learning methods. Such approach would overcome available clinical tests that are based on low-resolution molecular techniques that are inadequate at completely characterizing the plaque microbiome and do not offer a reliable support in the daily clinical practice to the dentists. By profiling and analysing 2,000 peri-implant microbiome samples collected from 50 dental clinics in the R&D phase, we aim to develop and validate a market-ready kit to (1) define a reproducible strain-level microbial signature for peri-implant diseases, (2) identify and characterize clinically relevant strain-level features of Fusobacterium nucleatum in mucositis, and (3) successfully support the clinical dental practice. Because inter-patient strain-level diversity of the plaque microbiome and of F. nucleatum in particular explains the variability in peri-implant health, our commercial proposition will provide the first microbiome-based and personalized approach for dental clinics.
Fields of science
Programme(s)
Funding Scheme
ERC-POC - Proof of Concept GrantHost institution
38123 TRENTO
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.