Literature DB >> 17517058

Infection at titanium implants with or without a clinical diagnosis of inflammation.

Stefan Renvert1, Anne-Marie Roos-Jansåker, Christel Lindahl, Helena Renvert, G Rutger Persson.   

Abstract

OBJECTIVES: To assess the microbiota at implants diagnosed with peri-implantitis, implant mucositis, or being clinically healthy.
MATERIAL AND METHODS: Clinical and microbiological data were collected from 213 subjects (mean age: 65.7+/-14) with 976 implants in function (mean: 10.8 years, SD+/-1.5). Forty species were identified by the checkerboard DNA-DNA hybridization method.
RESULTS: Implant mean % plaque score was 41.8+/-32.4%. Periodontitis defined by bone loss was found in 44.9% of subjects. Implant mucositis was diagnosed in 59% and peri-implantitis in 14.9% of all cases. Neisseria mucosa, Fusobacterium nucleatum sp. nucleatum, F. nucleatum sp. polymorphum, and Capnocytophaga sputigena dominated the implant sub-mucosal microbiota and the sub-gingival microbiota at tooth sites. Implant probing pocket depth at the implant site with the deepest probing depth was correlated with levels of Eikenella corrodens (r=0.16, P<0.05), the levels of F. nucleatum sp. vincentii (r=0.15, P<0.05), Porphyromonas gingivalis (r=0.14, P<0.05), and Micromonas micros (r=0.17, P=0.01). E. corrodens was found in higher levels at implants with mucositis compared with implant health (P<0.05). Subjects who lost teeth due to periodontitis had higher yields of F. nucleatum sp. vincentii (P<0.02) and N. mucosa (P<0.05). Independent of implant status subjects with teeth had higher levels of P. gingivalis (P<0.05), and Leptotrichia buccalis (P<0.05).
CONCLUSIONS: At implant sites studied, few bacteria differed by whether subjects were dentate or not or by implant status.

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Year:  2007        PMID: 17517058     DOI: 10.1111/j.1600-0501.2007.01378.x

Source DB:  PubMed          Journal:  Clin Oral Implants Res        ISSN: 0905-7161            Impact factor:   5.977


  35 in total

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2.  Patient-specific analysis of periodontal and peri-implant microbiomes.

Authors:  S M Dabdoub; A A Tsigarida; P S Kumar
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3.  The effects of Er:YAG on the treatment of peri-implantitis: a meta-analysis of randomized controlled trials.

Authors:  Mingdong Yan; Miaomiao Liu; Min Wang; Fengying Yin; Haibin Xia
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Review 4.  Microbiome of peri-implant infections: lessons from conventional, molecular and metagenomic analyses.

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5.  Implant-abutment leaking of replace conical connection nobel biocare® implant system. An in vitro study of the microbiological penetration from external environment to implant-abutment space.

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6.  Bio-inspired stable antimicrobial peptide coatings for dental applications.

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7.  Correlation between peri-implant sulcular fluid rate and expression of collagenase2 (MMP8).

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Journal:  Clin Oral Investig       Date:  2015-06-17       Impact factor: 3.573

8.  Pyrosequencing reveals unique microbial signatures associated with healthy and failing dental implants.

Authors:  Purnima S Kumar; Matthew R Mason; Michael R Brooker; Kelly O'Brien
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9.  Microbiota associated with infections of the jaws.

Authors:  Elerson Gaetti-Jardim; Luis Fernando Landucci; Kathlenn Liezbeth de Oliveira; Iracy Costa; Robson Varlei Ranieri; Ana Cláudia Okamoto; Christiane Marie Schweitzer
Journal:  Int J Dent       Date:  2012-07-08

Review 10.  Surface modification of biomedical and dental implants and the processes of inflammation, wound healing and bone formation.

Authors:  Clark M Stanford
Journal:  Int J Mol Sci       Date:  2010-01-25       Impact factor: 5.923

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