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口腔微宇宙生物膜在从种植体周围健康、种植体周围黏膜炎到种植体周围炎进展的条件下生长。

Oral Microcosm Biofilms Grown under Conditions Progressing from Peri-Implant Health, Peri-Implant Mucositis, and Peri-Implantitis.

机构信息

Periodontology and Periodontal Medicine, Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences, Kings College London, Guy's and St Thomas' NHS Foundation Trust, London SE1 9RT, UK.

Microbial Diseases, Eastman Dental Institute, University College London, London WC1E 6BT, UK.

出版信息

Int J Environ Res Public Health. 2022 Oct 28;19(21):14088. doi: 10.3390/ijerph192114088.

DOI:10.3390/ijerph192114088
PMID:36360970
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9654334/
Abstract

Peri-implantitis is a disease influenced by dysbiotic microbial communities that play a role in the short- and long-term outcomes of its clinical treatment. The ecological triggers that establish the progression from peri-implant mucositis to peri-implantitis remain unknown. This investigation describes the development of a novel in vitro microcosm biofilm model. Biofilms were grown over 30 days over machined titanium discs in a constant depth film fermentor (CDFF), which was inoculated (I) with pooled human saliva. Following longitudinal biofilm sampling across peri-implant health (PH), peri-implant mucositis (PM), and peri-implantitis (PI) conditions, the characterisation of the biofilms was performed. The biofilm analyses included imaging by confocal laser scanning microscopy (CLSM) and scanning electron microscopy (SEM), selective and non-selective culture media of viable biofilms, and 16S rRNA gene amplification and sequencing. Bacterial qualitative shifts were observed by CLSM and SEM across conditions, which were defined by characteristic phenotypes. A total of 9 phyla, 83 genera, and 156 species were identified throughout the experiment. The phyla , , , , and showed the highest prevalence in PI conditions. This novel in vitro microcosm model provides a high-throughput alternative for growing microcosm biofilms resembling an in vitro progression from PH-PM-PI conditions.

摘要

种植体周围炎是一种受生态失调微生物群落影响的疾病,这些微生物群落对其临床治疗的短期和长期结果起着作用。导致种植体周围黏膜炎向种植体周围炎进展的生态触发因素尚不清楚。本研究描述了一种新型体外微宇宙生物膜模型的开发。在恒深液流发酵器(CDFF)中,将经过机械加工的钛盘上的生物膜培养 30 天,并用混合的人唾液接种(I)。在种植体周围健康(PH)、种植体周围黏膜炎(PM)和种植体周围炎(PI)条件下进行纵向生物膜采样后,对生物膜进行了特征描述。生物膜分析包括共聚焦激光扫描显微镜(CLSM)和扫描电子显微镜(SEM)成像、可培养生物膜的选择性和非选择性培养基以及 16S rRNA 基因扩增和测序。通过 CLSM 和 SEM 观察到整个实验过程中条件下的细菌定性变化,这些变化由特征表型定义。共鉴定出 9 个门、83 个属和 156 个种。在 PI 条件下,、、、、和 出现的频率最高。这种新型体外微宇宙模型提供了一种高通量的替代方法,可以生长类似于 PH-PM-PI 条件下体外进展的微宇宙生物膜。

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Oral Microcosm Biofilms Grown under Conditions Progressing from Peri-Implant Health, Peri-Implant Mucositis, and Peri-Implantitis.口腔微宇宙生物膜在从种植体周围健康、种植体周围黏膜炎到种植体周围炎进展的条件下生长。
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Microbial profiles of peri-implant mucositis and peri-implantitis: Submucosal microbial dysbiosis correlates with disease severity.种植体周围黏膜炎和种植体周围炎的微生物特征:黏膜下微生物失调与疾病严重程度相关。
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Experimental models for contamination of titanium surfaces and disinfection protocols.钛表面污染的实验模型及消毒方案
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本文引用的文献

1
The Effect of Microcosm Biofilm Decontamination on Surface Topography, Chemistry, and Biocompatibility Dynamics of Implant Titanium Surfaces.微宇宙生物膜去污对种植体钛表面形貌、化学和生物相容性动态的影响。
Int J Mol Sci. 2022 Sep 2;23(17):10033. doi: 10.3390/ijms231710033.
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Health economic aspects of implant-supported restorative therapy.种植体支持修复治疗的健康经济学方面。
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Evaluation of biofilm colonization on multi-part dental implants in a rat model.
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Development of a Novel Peptide with Antimicrobial and Mineralising Properties for Caries Management.开发一种具有抗菌和矿化特性的新型肽用于龋齿管理。
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Evaluating models and assessment techniques for understanding oral biofilm complexity.评估理解口腔生物膜复杂性的模型和评估技术。
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versus biofilms for evaluating the antimicrobial effectiveness of herbal mouthrinses.用于评估草药漱口液抗菌效果的抗生物膜与生物膜。
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评价大鼠模型中多部件牙科种植体上生物膜的定植情况。
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Peri-Implantitis: A Clinical Update on Prevalence and Surgical Treatment Outcomes.种植体周围炎:患病率及外科治疗结果的临床最新进展
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Microorganisms. 2021 Feb 19;9(2):428. doi: 10.3390/microorganisms9020428.
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Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.作者更正:使用QIIME 2进行可重复、交互式、可扩展和可延伸的微生物组数据科学研究。
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