Abstract
Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that disease-specific microbial and gene transcription activity lead to disease-specific clinical features, using an integrated metagenomic, metatranscriptomic, and network analysis. Metagenomic data in peri-implantitis and periodontitis were obtained from the same 21 subjects and metatranscriptomic data from 12 subjects were obtained from a database. The microbial co-occurrence network based on metagenomic analysis had more diverse species taxa and correlations than the network based on the metatranscriptomic analysis. Solobacterium moorei and Prevotella denticola had high activity and were core species taxa specific to peri-implantitis in the co-occurrence network. Moreover, the activity of plasmin receptor/glyceraldehyde-3-phosphate dehydrogenase genes was higher in peri-implantitis. These activity differences may increase complexity in the peri-implantitis microbiome and distinguish clinical symptoms of the two diseases. These findings should help in exploring a novel biomarker that assist in the diagnosis and preventive treatment design of peri-implantitis.
Highlights
Dental implants are the most popular treatment option for tooth loss from multiple causes, including periodontitis, to improve and support patient quality of life (Sonoyama et al, 2002)
There were no significant differences in the following clinical parameters for the two disease sites: probing depth (PD), bleeding on probing (BOP), SUP, radiographic bone loss (RBL), and position (Table 1)
S. moorei and P. denticola were highly active and were core species taxa specific to peri-implantitis in the co-occurrence network
Summary
Dental implants are the most popular treatment option for tooth loss from multiple causes, including periodontitis, to improve and support patient quality of life (Sonoyama et al, 2002). Peri-Implantitis and Periodontitis Microbiome caused by multiple bacterial species (Leonhardt et al, 1999; Koyanagi et al, 2010; Abusleme et al, 2013; Koyanagi et al, 2013; Maruyama et al, 2014; Zheng et al, 2015; Yu et al, 2019). Recent studies reported that the relative activity levels of different species in a microbial community can be revealed by comparing metagenomic and metatranscriptomic analyses (Yu and Zhang, 2012). This comparative analysis has been applied in some periodontitis studies (Duran-Pinedo et al, 2014; Belstrom et al, 2017), metagenomic analysis has not been conducted on the periimplantitis microbial community before
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
