Molecular analysis of microbiota associated with peri-implant diseases

Al‐Radha, Afya Sahib Diab; Pal, Abhi; Pettemerides, A.P.; Jenkinson, Howard F.

doi:10.1016/j.jdent.2012.08.006

Cited by 32 publications

(23 citation statements)

References 42 publications

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“…(Lafaurie et al, ; Maruyama et al, ; Persson & Renvert, ; Sanz‐Martin et al, ; Zheng et al, ). The identification of other periodontitis‐associated taxa such as C. granulosa and peri‐implantitis‐associated taxa such as P. intermedia is consistent with results from previous studies (Al‐Radha, Pal, Pettemerides, & Jenkinson, ; Apatzidou et al, ; Zheng et al, ).…”

Section: Discussionsupporting

confidence: 90%

Intra‐oral single‐site comparisons of periodontal and peri‐implant microbiota in health and disease

Chan

Liu

et al. 2019

Clinical Oral Implants Res

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Objective: Periodontitis and peri-implantitis are oral infectious-inflammatory diseases that share similarities in their pathology and etiology. Our objective was to characterize the single-site subgingival and submucosal microbiomes of implant-rehabilitated, partially dentate Chinese subjects (n = 18) presenting with both periodontitis and peri-implantitis. Materials and methods:Subgingival/submucosal plaque samples were collected from four clinically distinct sites in each subject: peri-implantitis submucosa (DI), periodontal pocket (DT), clinically healthy (unaffected) peri-implant submucosa (HI), and clinically healthy (unaffected) subgingival sulcus (HT). The bacterial microbiota present was analyzed using Illumina MiSeq sequencing.Results: Twenty-six phyla and 5,726 operational taxonomic units (OTUs, 97% sequence similarity cutoff) were identified. Firmicutes, Proteobacteria, Fusobacteria, Bacteroidetes, Actinobacteria, Synergistetes, TM7, and Spirochaetes comprised 99.6% of the total reads detected. Bacterial communities within the DI, DT, HI, and HT sites shared high levels of taxonomic similarity. Thirty-one "core species" were present in >90% sites, with Streptococcus infantis/mitis/oralis (HMT-070/HMT-071/ HMT-638/HMT-677) and Fusobacterium sp. HMT-203/HMT-698 being particularly prevalent and abundant. Beta-diversity analyses (PERMANOVA test, weighted UniFrac) revealed the largest variance in the microbiota was at the subject level (46%), followed by periodontal health status (4%). Differing sets of OTUs were associated with periodontitis and peri-implantitis sites, respectively. This included putative "periodontopathogens," such as Prevotella, Porphyromonas, Tannerella, Bacteroidetes [G-5], and Treponema spp. Interaction network analysis identified several putative patterns underlying dysbiosis in periodontitis/peri-implantitis sites. Conclusions: Species (OTU) composition of the periodontal and peri-implant microbiota varied widely between subjects. The inter-subject variations in subgingival/ submucosal microbiome composition outweighed differences observed between implant vs. tooth sites, or between diseased vs. healthy (unaffected) peri-implant/ periodontal sites. | 761 YU et al. vincentii ("Fusobacterium Genus Probe 2"). Our data also correlate with that reported by Maruyama et al. (2014), who found that F. nucleatum, S. oralis, and Neisseria subflava, were abundant in both periodontitis and peri-implantitis lesions sampled from the same Japanese individuals. The respective compositions of the "core" microbiota reported in several other high-throughput TA B L E 3 Bacterial taxa present at higher abundances in the four respective clinical sites a Clinically healthy (unaffected) periodontal sites (HT) Periodontitis sites (DT) Halomonas sp. (OTU0) (core) Tannerella forsythia HMT-613 (OTU15) Escherichia coli HMT-574 (OTU17) Cardiobacterium valvalum HMT-540 (OTU33) Streptococcus mutans HMT-686 (OTU27) Capnocytophaga granulosa (OTU32) Veillonella dispar HMT-160 (OTU1252) Bacteroidales [G-2] sp. HMT-274...

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Section: Discussionsupporting

confidence: 90%

Intra‐oral single‐site comparisons of periodontal and peri‐implant microbiota in health and disease

Chan

Liu

et al. 2019

Clinical Oral Implants Res

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“…PCR analysis offers great sensitivity as it allows a small amount of DNA of the microbial sample to be amplified many times in an exponential manner. It has been used for the analysis of microbial samples from dental implants for the detection of A. actinomycetemcomitans, 30 Porphyromonas gingivalis, 30,31 Prevotella intermedia, 30,32 Fusobacterium spp. 32 The DNA-DNA hybridization ('checkerboard') technique belongs to molecular techniques, developed by Socransky and co-workers.…”

Section: Lessons From Conventional Methodsmentioning

confidence: 99%

“…It has been used for the analysis of microbial samples from dental implants for the detection of A. actinomycetemcomitans, 30 Porphyromonas gingivalis, 30,31 Prevotella intermedia, 30,32 Fusobacterium spp. 32 The DNA-DNA hybridization ('checkerboard') technique belongs to molecular techniques, developed by Socransky and co-workers. 33 It allows for the assessment of large amounts of plaque samples and multitude of species by hybridizing DNA samples against whole genomic DNA probes on a single support membrane.…”

Section: Lessons From Conventional Methodsmentioning

confidence: 99%

Microbiome of peri-implant infections: Lessons from conventional, molecular and metagenomic analyses

2015

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Osseointegrated dental implants are now a well-established treatment option in the armament of restorative dentistry. These technologically advanced devices are designed to functionally and esthetically replace missing teeth. Despite the revolutionary advances that implants have incurred, they have also provided the oral cavity with new artificial surfaces prone to the formation of oral biofilms, similarly to the hard tissue surfaces of natural teeth. Biofilm formation on the implant surface can trigger the inflammatory destruction of the peri-implant tissue, in what is known as peri-implantitis. The mixed microbial flora of peri-implant infections resembles that of periodontal infections, with some notable differences. These are likely to expand with the ever increasing application of metagenomics and metatrascriptomics in the analysis of oral ecology. This review presents the wealth of knowledge we have gained from microbiological methods used in the characterization of peri-implant microflora and sheds light over potential new benefits, as well as limitations, of the new sequencing technology in our understanding of peri-implant disease pathogenesis.

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“…[12][13][14] However, it is well-known that a major reason for implant loss is peri-implantitis, as a consequence of the penetration of bacterial plaque into the peri-implant sulcus. [15][16][17][18] Therefore, only good bone regeneration is not enough, the barrier function provided by the peri-implant mucosal tissue is equally important. An implant must interface successfully with two types of cells, namely the epithelial cells and the underlying fibroblasts from the soft tissue for a good barrier function.…”

Section: Introductionmentioning

confidence: 99%

Micro-/nano-topography of selective laser melting titanium enhances adhesion and proliferation and regulates adhesion-related gene expressions of human gingival fibroblasts and human gingival epithelial cells

Xu¹,

Hu²,

Yu³

et al. 2018

IJN

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BackgroundSelective laser melting (SLM) titanium is an ideal option to manufacture customized implants with suitable surface modification to improve its bioactivity. The peri-implant soft tissues form a protective tissue barrier for the underlying osseointegration. Therefore, original microrough SLM surfaces should be treated for favorable attachment of surrounding soft tissues.Material and methodsIn this study, anodic oxidation (AO) was applied on the microrough SLM titanium substrate to form TiO2 nanotube arrays. After that, calcium phosphate (CaP) nanoparticles were embedded into the nanotubes or the interval of nanotubes by electrochemical deposition (AOC). These two samples were compared to untreated (SLM) samples and accepted mechanically polished (MP) SLM titanium samples. Scanning electron microscopy, energy dispersive spectrometry, X-ray diffraction, surface roughness, and water contact angle measurements were used for surface characterization. The primary human gingival epithelial cells (HGECs) and human gingival fibroblasts (HGFs) were cultured for cell assays to determine adhesion, proliferation, and adhesion-related gene expressions.ResultsFor HGECs, AOC samples showed significantly higher adhesion, proliferation, and adhesion-related gene expressions than AO and SLM samples (P<0.05) and similar exceptional ability in above aspects to MP samples. At the same time, AOC samples showed the highest adhesion, proliferation, and adhesion-related gene expressions for HGFs (P<0.05).ConclusionBy comparison between each sample, we could confirm that both anodic oxidation and CaP nanoparticles had improved bioactivity, and their combined utilization may likely be superior to mechanical polishing, which is most commonly used and widely accepted. Our results indicated that creating appropriate micro-/nano-topographies can be an effective method to affect cell behavior and increase the stability of the peri-implant mucosal barrier on SLM titanium surfaces, which contributes to its application in dental and other biomedical implants.

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Molecular analysis of microbiota associated with peri-implant diseases

Cited by 32 publications

References 42 publications

Intra‐oral single‐site comparisons of periodontal and peri‐implant microbiota in health and disease

Intra‐oral single‐site comparisons of periodontal and peri‐implant microbiota in health and disease

Microbiome of peri-implant infections: Lessons from conventional, molecular and metagenomic analyses

Micro-/nano-topography of selective laser melting titanium enhances adhesion and proliferation and regulates adhesion-related gene expressions of human gingival fibroblasts and human gingival epithelial cells

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