The severity of human peri-implantitis lesions correlates with the level of submucosal microbial dysbiosis

The severity of human peri-implantitis lesions correlates with the level of submucosal microbial dysbiosis

Aim: To cross-sectionally analyse the submucosal microbiome of peri-implantitis (PI) lesions at different severity levels. Materials and Methods: Microbial signatures of 45 submucosal plaque samples from untreated PI lesions obtained from 30 non-smoking, systemically healthy subjects were assessed b...

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Bibliographic Details
Main Authors: Demmer, R.T (Author), Enkling, N. (Author), Fickl, S. (Author), Heimbach, A. (Author), Hoffmann, P. (Author), Hülsmann, C. (Author), Hüttig, F. (Author), Jepsen, S. (Author), Kaufmann, F. (Author), Kebschull, M. (Author), Kröger, A. (Author), Papapanou, P.N (Author), Renvert, S. (Author), Schwarz, F. (Author), Spinell, T. (Author)
Format: Article
Language:English
Published: Blackwell Munksgaard 2018
Subjects:
16s
Dental Implants
Dental Plaque
Dental Plaque Index
dysbiosis
Dysbiosis
human
Humans
microbiome
next-generation sequencing
peri-implant disease
periimplantitis
peri-implantitis
Peri-Implantitis
plaque index
tooth implant
tooth plaque
Online Access:View Fulltext in Publisher
Description
Summary:Aim: To cross-sectionally analyse the submucosal microbiome of peri-implantitis (PI) lesions at different severity levels. Materials and Methods: Microbial signatures of 45 submucosal plaque samples from untreated PI lesions obtained from 30 non-smoking, systemically healthy subjects were assessed by 16s sequencing. Linear mixed models were used to identify taxa with differential abundance by probing depth, after correction for age, gender, and multiple samples per subject. Network analyses were performed to identify groups of taxa with mutual occurrence or exclusion. Subsequently, the effects of peri-implant probing depth on submucosal microbial dysbiosis were calculated using the microbial dysbiosis index. Results: In total, we identified 337 different taxa in the submucosal microbiome of PI. Total abundance of 12 taxa correlated significantly with increasing probing depth; a significant relationship with lower probing depth was found for 16 taxa. Network analysis identified two mutually exclusive complexes associated with shallow pockets and deeper pockets, respectively. Deeper peri-implant pockets were associated with significantly increased dysbiosis. Conclusion: Increases in peri-implant pocket depth are associated with substantial changes in the submucosal microbiome and increasing levels of dysbiosis. © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd
ISBN:03036979 (ISSN)
DOI:10.1111/jcpe.13023

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