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.

Strong oral plaque microbiome signatures for dental implant diseases identified by strain-resolution metagenomics / Ghensi, Paolo; Manghi, Paolo; Zolfo, Moreno; Armanini, Federica; Pasolli, Edoardo; Bolzan, Mattia; Bertelle, Alberto; Dell’Acqua, Federico; Dellasega, Ester; Waldner, Romina; Tessarolo, Francesco; Tomasi, Cristiano; Segata, Nicola. - In: NPJ BIOFILMS AND MICROBIOMES. - ISSN 2055-5008. - 6:1(2020), pp. 4701-4712. [10.1038/s41522-020-00155-7]

Strong oral plaque microbiome signatures for dental implant diseases identified by strain-resolution metagenomics

Ghensi, Paolo;Manghi, Paolo;Zolfo, Moreno;Armanini, Federica;Pasolli, Edoardo;Bolzan, Mattia;Tessarolo, Francesco;Tomasi, Cristiano;Segata, Nicola
2020-01-01

Abstract

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.
2020
1
Ghensi, Paolo; Manghi, Paolo; Zolfo, Moreno; Armanini, Federica; Pasolli, Edoardo; Bolzan, Mattia; Bertelle, Alberto; Dell’Acqua, Federico; Dellasega,...espandi
Strong oral plaque microbiome signatures for dental implant diseases identified by strain-resolution metagenomics / Ghensi, Paolo; Manghi, Paolo; Zolfo, Moreno; Armanini, Federica; Pasolli, Edoardo; Bolzan, Mattia; Bertelle, Alberto; Dell’Acqua, Federico; Dellasega, Ester; Waldner, Romina; Tessarolo, Francesco; Tomasi, Cristiano; Segata, Nicola. - In: NPJ BIOFILMS AND MICROBIOMES. - ISSN 2055-5008. - 6:1(2020), pp. 4701-4712. [10.1038/s41522-020-00155-7]
File in questo prodotto:
File Dimensione Formato  
s41522-020-00155-7 (2).pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 3.16 MB
Formato Adobe PDF
3.16 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/288798
Citazioni
  • ???jsp.display-item.citation.pmc??? 38
  • Scopus 67
  • ???jsp.display-item.citation.isi??? 64
  • OpenAlex ND
social impact