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口腔种植体周围和牙周微生物群及其病理变化的当前数据:一项系统综述。

Current Data on Oral Peri-Implant and Periodontal Microbiota and Its Pathological Changes: A Systematic Review.

作者信息

Gazil Virginie, Bandiaky Octave Nadile, Renard Emmanuelle, Idiri Katia, Struillou Xavier, Soueidan Assem

机构信息

Nantes Université, Periodontology Department, CHU (Centre Hospitalier Universitaire) Nantes, UIC Odontology, F-44000 Nantes, France.

Nantes Université, Oniris, Univ Angers, CHU Nantes, INSERM, Regenerative Medicine and Skeleton, RMeS, UMR 1229, F-44000 Nantes, France.

出版信息

Microorganisms. 2022 Dec 14;10(12):2466. doi: 10.3390/microorganisms10122466.

Abstract

The 5- and 10-year implant success rates in dentistry are nearly 90%. Prevalence of peri-implant diseases is 10% for peri-implantitis and 50% for peri-implant mucositis. To better understand these inflammatory pathologies of infectious origin, it is important to know if the composition of the peri-implant microbiota is comparable with the periodontal microbiota in healthy and pathological conditions. New generation sequencing (NGS) is a recent metagenomic method that analyzes the overall microorganisms present in an ecological niche by exploiting their genome. These methods are of two types: 16S rRNA sequencing and the shotgun technique. For several years, they have been used to explore the oral, periodontal, and, more specifically, peri-implant microbiota. The aim of this systematic review is to analyze the recent results of these new explorations by comparing the periodontal and peri-implant microbiota in patients with healthy and diseased sites and to explore the microbiological characteristics of peri-implantitis. A better knowledge of the composition of the peri-implant microbiota would enable us to optimize our therapeutic strategies. An electronic systematic search was performed using the medical databases PubMed/Medline, Cochrane Library, and ScienceDirect, and . The selected articles were published between January 2015 and March 2021. Inclusion criteria included clinical studies comparing healthy and pathological periodontal and peri-implant microbiota exclusively using 16S rRNA sequencing or shotgun sequencing, with enrolled populations free of systemic pathology, and studies without substantial bias. Eight articles were selected and reviewed. All of them used 16S rRNA sequencing exclusively. The assessment of these articles demonstrates the specific character of the peri-implant microbiota in comparison with the periodontal microbiota in healthy and pathological conditions. Indeed, peri-implant diseases are defined by dysbiotic bacterial communities that vary from one individual to another, including known periodontopathogens such as () and genera less mentioned in the periodontal disease pattern such as . Examination of peri-implant microbiota with 16S rRNA sequencing reveals differences between the periodontal and peri-implant microbiota under healthy and pathological conditions in terms of diversity and composition. The pattern of dysbiotic drift is preserved in periodontal and peri-implant diseases, but when comparing the different types of pathological sites, the peri-implant microbiota has a specificity in the presence of bacteria proper to peri-implantitis and different relative proportions of the microorganisms present.

摘要

牙科种植体5年和10年的成功率接近90%。种植体周围炎的患病率为10%,种植体周围黏膜炎的患病率为50%。为了更好地理解这些感染性炎症病变,了解健康和病理状态下种植体周围微生物群的组成是否与牙周微生物群相当很重要。新一代测序(NGS)是一种最新的宏基因组学方法,通过利用微生物的基因组来分析生态位中存在的所有微生物。这些方法有两种类型:16S rRNA测序和鸟枪法。几年来,它们一直被用于探索口腔、牙周,更具体地说是种植体周围微生物群。本系统评价的目的是通过比较健康和患病部位患者的牙周和种植体周围微生物群,分析这些新探索的最新结果,并探索种植体周围炎的微生物学特征。更好地了解种植体周围微生物群的组成将使我们能够优化治疗策略。使用医学数据库PubMed/Medline、Cochrane图书馆和ScienceDirect进行了电子系统检索。所选文章发表于2015年1月至2021年3月之间。纳入标准包括仅使用16S rRNA测序或鸟枪法测序比较健康和病理状态下的牙周和种植体周围微生物群的临床研究,纳入人群无全身疾病,且研究无重大偏倚。筛选并审查了8篇文章。所有文章均仅使用16S rRNA测序。对这些文章的评估表明,与健康和病理状态下的牙周微生物群相比,种植体周围微生物群具有特异性。事实上,种植体周围疾病是由个体间不同的功能失调细菌群落定义的,包括已知的牙周病原体,如(),以及在牙周疾病模式中较少提及的属,如。用16S rRNA测序检查种植体周围微生物群发现,在健康和病理条件下,牙周和种植体周围微生物群在多样性和组成方面存在差异。功能失调漂移模式在牙周疾病和种植体周围疾病中均存在,但在比较不同类型的病理部位时,种植体周围微生物群在存在种植体周围炎特有的细菌以及所存在微生物的不同相对比例方面具有特异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8561/9781768/659b6ed44cb1/microorganisms-10-02466-g001.jpg

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