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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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
Online Access:View Fulltext in Publisher
LEADER 02911nam a2200505Ia 4500
001 10.1111-jcpe.13023
008 220706s2018 CNT 000 0 und d
020 |a 03036979 (ISSN) 
245 1 0 |a The severity of human peri-implantitis lesions correlates with the level of submucosal microbial dysbiosis 
260 0 |b Blackwell Munksgaard  |c 2018 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1111/jcpe.13023 
520 3 |a 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 
650 0 4 |a 16s 
650 0 4 |a Dental Implants 
650 0 4 |a Dental Plaque 
650 0 4 |a Dental Plaque Index 
650 0 4 |a dysbiosis 
650 0 4 |a Dysbiosis 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a microbiome 
650 0 4 |a next-generation sequencing 
650 0 4 |a peri-implant disease 
650 0 4 |a periimplantitis 
650 0 4 |a peri-implantitis 
650 0 4 |a Peri-Implantitis 
650 0 4 |a plaque index 
650 0 4 |a tooth implant 
650 0 4 |a tooth plaque 
700 1 |a Demmer, R.T.  |e author 
700 1 |a Enkling, N.  |e author 
700 1 |a Fickl, S.  |e author 
700 1 |a Heimbach, A.  |e author 
700 1 |a Hoffmann, P.  |e author 
700 1 |a Hülsmann, C.  |e author 
700 1 |a Hüttig, F.  |e author 
700 1 |a Jepsen, S.  |e author 
700 1 |a Kaufmann, F.  |e author 
700 1 |a Kebschull, M.  |e author 
700 1 |a Kröger, A.  |e author 
700 1 |a Papapanou, P.N.  |e author 
700 1 |a Renvert, S.  |e author 
700 1 |a Schwarz, F.  |e author 
700 1 |a Spinell, T.  |e author 
773 |t Journal of Clinical Periodontology