To obtain deeper insights into the etiology of oral disease, an understanding of the composition of the surrounding bacterial environments that lead to health or disease is required, which is attracting increasing attention. In this study, the bacterial compositions in the saliva of 200 subjects aged 15–40 years were depicted as peak patterns by terminal restriction fragment length polymorphism (T-RFLP) analysis of 16S rRNA genes. The subjects were classified into three clusters by partitioning around medoids clustering based on their T-RFLP profiles, and the clinical oral health parameters of the clusters were compared. The clustering of the T-RFLP profiles in this study was mainly based on differences in the abundance distribution of the dominant terminal restriction fragments (TRFs) detected in most of the subjects. Predicted from the sizes of the TRFs, the characteristically more predominant members of each were Prevotella and Veillonella species in cluster I; Streptococcus species in cluster II and Neisseria, Haemophilus or Aggregatibacter species and Porphyromonas species in cluster III. The parameters associated with periodontal disease were significantly different among the clusters. Clusters I and II had a higher percentage of sites of periodontal pockets greater than 4 mm than cluster III, and cluster I contained sites exhibiting bleeding on probing more often than cluster II or III; no significant differences were observed in other parameters. These results suggest that the abundance distribution of commensal bacteria in saliva is correlated with periodontal health, and might be involved in the susceptibility of an individual to periodontal disease.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently a global public health emergency. Periodontitis, the most prevalent disease that leads to tooth loss, is caused by infection by periodontopathic bacteria. Periodontitis is also a risk factor for pneumonia and the exacerbation of chronic obstructive pulmonary disease, presumably because of the aspiration of saliva contaminated with periodontopathic bacteria into the lower respiratory tract. Patients with these diseases have increased rates of COVID-19 aggravation and mortality. Because periodontopathic bacteria have been isolated from the bronchoalveolar lavage fluid of patients with COVID-19, periodontitis may be a risk factor for COVID-19 aggravation. However, the molecular links between periodontitis and COVID-19 have not been clarified. In this study, we found that the culture supernatant of the periodontopathic bacterium Fusobacterium nucleatum (CSF) upregulated the SARS-CoV-2 receptor angiotensin-converting enzyme 2 in A549 alveolar epithelial cells. In addition, CSF induced interleukin (IL)-6 and IL-8 production by both A549 and primary alveolar epithelial cells. CSF also strongly induced IL-6 and IL-8 expression by BEAS-2B bronchial epithelial cells and Detroit 562 pharyngeal epithelial cells. These results suggest that when patients with mild COVID-19 frequently aspirate periodontopathic bacteria, SARS-CoV-2 infection is promoted, and inflammation in the lower respiratory tract may become severe in the presence of viral pneumonia.

The ability of Epstein–Barr Virus (EBV) to establish latent infection is associated with infectious mononucleosis and a number of malignancies. In EBV, the product of the BZLF1 gene (ZEBRA) acts as a master regulator of the transition from latency to the lytic replication cycle in latently infected cells. EBV latency is primarily maintained by hypoacetylation of histone proteins in the BZLF1 promoter by histone deacetylases. Although histone methylation is involved in the organization of chromatin domains and has a central epigenetic role in gene expression, its role in maintaining EBV latency is not well understood. Here we present evidence that the histone H3 lysine 9 (H3K9) methyltransferase suppressor of variegation 3–9 homolog 1 (Suv39 h1) transcriptionally represses BZLF1 in B95–8 cells by promoting repressive trimethylation at H3K9 (H3K9me3). Suv39 h1 significantly inhibited basal expression and ZEBRA‐induced BZLF1 gene expression in B95–8 B cells. However, mutant Suv39 h1 lacks the SET domain responsible for catalytic activity of histone methyl transferase and thus had no such effect. BZLF1 transcription was augmented when Suv39 h1 expression was knocked down by siRNA in B95–8 cells, but not in Akata or Raji cells. In addition, treatment with a specific Suv39 h1 inhibitor, chaetocin, significantly enhanced BZLF1 transcription. Furthermore, chromatin immunoprecipitation assays revealed the presence of Suv39 h1 and H3K9me3 on nucleosome histones near the BZLF1 promoter. Taken together, these results suggest that Suv39 h1–H3K9me3 epigenetic repression is involved in BZLF1 transcriptional silencing, providing a molecular basis for understanding the mechanism by which EBV latency is maintained.