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Smoking by altering the peri-implant microbial community structure compromises the responsiveness to treatment.

ABSTRACT: Smoking is an essential risk factor for peri-implant diseases. It also hampers the clinical outcomes of peri-implant therapies. Nonetheless, the effect of smoking can go undetected until the emergence of clinical signs. Bacterial-induced inflammation is responsible for the initiation and progression of peri-implant diseases. We hypothesize that smoking impacts the peri-implant microbiome even in status of clinical health, putting it into a sub-healthy condition that responds poorly to peri-implant treatments. To validate this, peri-implant plaque samples from 18 participants including 10 smokers (S) and 8 non-smokers (NS), who had received implant prostheses were analyzed using metagenomic shotgun sequencing. The results showed that in addition to taxonomical and functional differences, the local stability in the S group was also shown to be much higher than that in the NS group, indicating greater stubbornness of the peri-implant microbiome associated with smoking. Besides, the topological structures were also distinct between the two groups. The highly connected species interacted more preferentially with each other in the S group (eigenvector centralization, 0.0273 in S and 0.0183 in NS), resulting in a greater tendency of forming small-world modules (modularity, 0.714 in S and 0.582 in NS). While in the NS group, inter-species correlations were more evenly distributed (clustering coefficient, 0.532 in S and 0.666 in NS). These alterations overall explained the greater stubbornness of the peri-implant microbiome associated with smoking, which may cause poor responsiveness to peri-implant therapies. From a microbial perspective, this may be a potential reason why smoking impacts negatively on the outcome of peri-implant treatments.

SUBMITTER: Zhang Y

PROVIDER: S-EPMC9614378 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Smoking by altering the peri-implant microbial community structure compromises the responsiveness to treatment.

Zhang Yuchen Y Niazi Sadia Ambreen SA Yang Yuguang Y Wang Yiqing Y Cao Xiao X Liu Yibing Y Li Yinhu Y Zhou Qin Q

Frontiers in cellular and infection microbiology 20221014

Smoking is an essential risk factor for peri-implant diseases. It also hampers the clinical outcomes of peri-implant therapies. Nonetheless, the effect of smoking can go undetected until the emergence of clinical signs. Bacterial-induced inflammation is responsible for the initiation and progression of peri-implant diseases. We hypothesize that smoking impacts the peri-implant microbiome even in status of clinical health, putting it into a sub-healthy condition that responds poorly to peri-impla ...[more]

PMID: 36310860

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Project description:BackgroundOral microbiota comprises polymicrobial communities shaped by mutualistic coevolution with the host, contributing to homeostasis and regulating immune function. Nevertheless, dysbiosis of oral bacterial communities is associated with a number of clinical symptoms that ranges from infections to oral cancer. Peri-implant diseases are biofilm-associated inflammatory conditions affecting the soft and hard tissues around dental implants. Characterization and identification of the biofilm community are essential for the understanding of the pathophysiology of such diseases. For that sampling methods should be representative of the biofilm communities Therefore, there is a need to know the effect of different sampling strategies on the biofilm characterization by next generation sequencing.MethodsWith the aim of selecting an appropriate microbiome sampling procedure for periimplant biofilms, next generation sequencing was used for characterizing the bacterial communities obtained by three different sampling strategies two months after transepithelial abutment placement: adjacent periodontal crevicular fluid (ToCF), crevicular fluid from transepithelial abutment (TACF) and transepithelial abutment (TA).ResultsSignificant differences in multiple alpha diversity indices were detected at both the OTU and the genus level between different sampling procedures. Differentially abundant taxa were detected between sample collection strategies, including peri-implant health and disease related taxa. At the community level significant differences were also detected between TACF and TA and also between TA and ToCF. Moreover, differential network properties and association patterns were identified.ConclusionsThe selection of sample collection strategy can significantly affect the community composition and structure.Trial registrationThis research is part of a randomized clinical trial that was designed to assess the effect of transepithelial abutment surface on the biofilm formation. The trial was registered at Trial Registration ClinicalTrials.gov under the number NCT03554876.

Project description:Smokers are at high risk for 2 bacterially driven oral diseases: peri-implant mucositis and peri-implantitis. Therefore, the purpose of this investigation was to use a deep-sequencing approach to identify the effect of smoking on the peri-implant microbiome in states of health and disease. Peri-implant biofilm samples were collected from 80 partially edentulous subjects with peri-implant health, peri-implant mucositis, and peri-implantitis. Bacterial DNA was isolated and 16S ribsomal RNA gene libraries sequenced using 454-pyrosequencing targeting the V1 to V3 and V7 to V9 regions. In total, 790,692 classifiable sequences were compared against the HOMD database for bacterial identification. Community-level comparisons were carried out using UniFrac and nonparametric tests. Microbial signatures of health in smokers exhibited lower diversity compared to nonsmokers, with significant enrichment for disease-associated species. Shifts from health to mucositis were accompanied by loss of several health-associated species, leading to a further decrease in diversity. Peri-implantitis did not differ significantly from mucositis in species richness or evenness. In nonsmokers, by contrast, the shift from health to mucositis resembled primary ecological succession, with acquisition of several species without replacement of pioneer organisms, thereby creating a significant increase in diversity. Again, few differences were detected between peri-implantitis and mucositis. Thus, our data suggest that smoking shapes the peri-implant microbiomes even in states of clinical health, by supporting a pathogen-rich community. In both smokers and nonsmokers, peri-implant mucositis appears to be a pivotal event in disease progression, creating high-at-risk-for-harm communities. However, ecological succession follows distinctly divergent pathways in smokers and nonsmokers, indicating a need for personalized therapeutics for control and prevention of disease in these 2 cohorts.

Project description:Objectives: This systematic review evaluated concomitant trends in microbial (total biofilm load and pre-dominant pathogens' counts) and clinical, radiographic, and crevicular variations following (any) peri-implantitis treatment in partially vs. totally edentulous, systemically healthy, non-smoking adults and compared them to peri-implant mucositis treated sites. Methods: The study protocol, compliant with the PRISMA statement, was registered on PROSPERO (CRD42024514521). Findings from six randomized controlled trials (RCTs), evaluated through the ROBINS-2 tool, were qualitatively synthesized. Results: No data concerning total edentulism and treated peri-implant mucositis sites were retrieved from the included RCTs. Instead, as expected, in the partially edentulous subjects, peri-implantitis treatments effectively provided biofilm control, although Plaque Index (PI) tended to increase again over time. Notably, Bleeding on Probing (BoP) rose slightly after treatment but decreased markedly by three months, indicating, at least, a partial resolution of the infective-inflammatory process. Probing Depth (PD) showed a slower but consistent improvement throughout. Despite a return of PI levels by twelve months, BoP and PD continued to improve, underscoring the successful long-term outcomes of peri-implantitis treatment. Over time, variations in PI did not consistently reflect changes in predominant pathogenic species, especially at the 1-month follow-up; BoP aligned with predominant pathogens rather than total microbial biofilm load at the 1- and 3-month follow-ups, and PD did the same at the 3- and 6-month follow-ups, likely affecting peri-implantitis-associated microbiota. No data concerning crevicular parameters were retrieved in the included RCTs, and the extracted radiographic outcomes were not comparable. Conclusions: The impact of the microbial variations after peri-implantitis treatment on peri-implant clinical parameters highlight the critical role of dysbiosis, rather than total microbial load, in influencing inflammation and tissue destruction, emphasizing the need for targeted approaches to manage persistent pathogens and improve treatment efficacy.

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Smoking by altering the peri-implant microbial community structure compromises the responsiveness to treatment.

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Smoking by altering the peri-implant microbial community structure compromises the responsiveness to treatment.

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