Department CIBIO, University of Trento, Trento, Italy.
PreBiomics S.r.l., Trento, Italy.
NPJ Biofilms Microbiomes. 2020 Oct 30;6(1):47. doi: 10.1038/s41522-020-00155-7.
Dental implants are installed in an increasing number of patients. Mucositis and peri-implantitis are common microbial-biofilm-associated diseases affecting the tissues that surround the dental implant and are a major medical and socioeconomic burden. By metagenomic sequencing of the plaque microbiome in different peri-implant health and disease conditions (113 samples from 72 individuals), we found microbial signatures for peri-implantitis and mucositis and defined the peri-implantitis-related complex (PiRC) composed by the 7 most discriminative bacteria. The peri-implantitis microbiome is site specific as contralateral healthy sites resembled more the microbiome of healthy implants, while mucositis was specifically enriched for Fusobacterium nucleatum acting as a keystone colonizer. Microbiome-based machine learning showed high diagnostic and prognostic power for peri-implant diseases and strain-level profiling identified a previously uncharacterized subspecies of F. nucleatum to be particularly associated with disease. Altogether, we associated the plaque microbiome with peri-implant diseases and identified microbial signatures of disease severity.
越来越多的患者接受了牙种植体。黏膜炎和种植体周围炎是常见的与微生物生物膜相关的疾病，影响围绕牙种植体的组织，是一个主要的医疗和社会经济负担。通过对不同种植体健康和疾病状况下的菌斑微生物组进行宏基因组测序（来自 72 个人的 113 个样本），我们发现了种植体周围炎和黏膜炎的微生物特征，并定义了由 7 种最具鉴别力的细菌组成的种植体周围炎相关复合体（PiRC）。种植体周围炎微生物组具有特定的部位特异性，因为对侧健康部位更类似于健康种植体的微生物组，而黏膜炎则特别富含核梭杆菌，核梭杆菌作为关键定植者发挥作用。基于微生物组的机器学习显示了对种植体疾病具有较高的诊断和预后能力，菌株水平分析确定了一种以前未被描述的核梭杆菌亚种与疾病特别相关。总的来说，我们将菌斑微生物组与种植体疾病相关联，并确定了疾病严重程度的微生物特征。
