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

被引:92
作者
Ghensi, Paolo [1 ]
Manghi, Paolo [1 ]
Zolfo, Moreno [1 ]
Armanini, Federica [1 ]
Pasolli, Edoardo [1 ]
Bolzan, Mattia [1 ,5 ]
Bertelle, Alberto
Dell'Acqua, Federico
Dellasega, Ester
Waldner, Romina
Tessarolo, Francesco [2 ,3 ]
Tomasi, Cristiano [4 ]
Segata, Nicola [1 ]
机构
[1] Univ Trento, Dept CIBIO, Trento, Italy
[2] Univ Trento, Dept Ind Engn, Trento, Italy
[3] Bruno Kessler Fdn, Healthcare Res & Innovat Program IRCS FBK PAT, Trento, Italy
[4] Univ Gothenburg, Sahlgrenska Acad, Inst Odontol, Dept Periodontol, Gothenburg, Sweden
[5] PreBi Srl, Trento, Italy
基金
欧洲研究理事会;
关键词
PERI-IMPLANT; FUSOBACTERIUM-NUCLEATUM; MICROBIOLOGICAL DIVERSITY; CONSENSUS REPORT; HEALTHY; PREVALENCE; ASSOCIATION; DIAGNOSIS; ALIGNMENT; PROFILES;
D O I
10.1038/s41522-020-00155-7
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
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页数:12
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