New bacterial biomarkers, functional activities, dynamic changes and bacterial interactions in chronic periodontal disease

The project will be developed trough the collaboration between the Oral Sciences Research Group and members of the Computer Vision Group at CiTIUS, both belonging to IDIS. The aim of the project is to analyze, from a metatranscriptomic and metagenomics viewpoint with longitudinal character, the oral microbiome associated to the chronic periodontis, evaluating new bacterial biomarkers, its functional activity, and the dynamic changes that are suffered in oral microbiome after a conventional periodontal treatment. This will allow to improve the knowledge about the pathogenesis of this polymicrobial dysbiosis, to elucidate the repercussion of the oral microbiome (of specific species and bacterial consortiums) as a diagnostic/prognostic indicator of the chronic periodontitis, and to contribute to the search o new therapies and treatment modalities.

Objectives

The project proposes the detection of the genetic repertoire of the subgingival microbiome using the clinical samples of the subgingival plaque of a patient including healthy people and people affected by chronic periodontitis. The following specific objectives will be pursued:
1) To analyze and compare biological processes and functional mechanisms (functional classes and metabolic pathways) and the composition of oral microbiomes associated with health and chronic periodontitis.
2) To analyze and compare the specific genetic variations and virulence factors of the main pathobionts and symbionts in oral microbiomes in health and chronic periodontitis.
3) To analyze and compare the dynamic functional/compositional changes of oral microbiomes in periodontitis, before and after the practice of a non-surgical basic periodontal treatment.
4) To determine the existence of bacterial subcommunities associated with oral health and untreated and treated chronic periodontitis.
5) To determine bacterial consortia formed by interacting taxa representing central units of the global bacterial community.
6) Explore in silico the functionality and metabolic stability of specific bacterial species and small bacterial consortia in different clinical conditions.
7) To develop a software solution and a web interface to facilitate the bioinformatics analysis of polimicrobial communities.