Strong oral plaque microbiome signatures for dental implant diseases identified by strain-resolution metagenomics.
Paolo GhensiPaolo ManghiMoreno ZolfoFederica ArmaniniEdoardo PasolliMattia BolzanAlberto BertelleFederico Dell'AcquaEster DellasegaRomina WaldnerFrancesco TessaroloCristiano TomasiNicola SegataPublished in: NPJ biofilms and microbiomes (2020)
Dental implants are installed in an increasing number of patients. Mucositis and peri-implantitis are common microbial-biofilm-associated diseases affecting the tissues that surround the dental implant and are a major medical and socioeconomic burden. By metagenomic sequencing of the plaque microbiome in different peri-implant health and disease conditions (113 samples from 72 individuals), we found microbial signatures for peri-implantitis and mucositis and defined the peri-implantitis-related complex (PiRC) composed by the 7 most discriminative bacteria. The peri-implantitis microbiome is site specific as contralateral healthy sites resembled more the microbiome of healthy implants, while mucositis was specifically enriched for Fusobacterium nucleatum acting as a keystone colonizer. Microbiome-based machine learning showed high diagnostic and prognostic power for peri-implant diseases and strain-level profiling identified a previously uncharacterized subspecies of F. nucleatum to be particularly associated with disease. Altogether, we associated the plaque microbiome with peri-implant diseases and identified microbial signatures of disease severity.
Keyphrases
- machine learning
- microbial community
- healthcare
- radiation induced
- coronary artery disease
- end stage renal disease
- genome wide
- gene expression
- single cell
- staphylococcus aureus
- chronic kidney disease
- public health
- newly diagnosed
- pseudomonas aeruginosa
- ejection fraction
- radiation therapy
- dna methylation
- social media
- prognostic factors
- biofilm formation
- health information
- deep learning
- chemotherapy induced
- human health