Centipeda periodontii in human periodontitis

Microbiome composition and metabolic pathways in shallow and deep periodontal pockets

In periodontal diseases, a dysbiotic subgingival microbiome interacts complexly with the host immune response and is strongly considered a risk factor for various systemic conditions. The high prevalence of both periodontal and systemic diseases in older adults highlights the importance of characterizing the subgingival microbiome in this age group. This study specifically characterizes the composition of the subgingival microbiome and investigates the interactions between microbial niches in shallow and deep periodontal pockets in individuals in their early 70s. We collected 1928 samples from 1287 participants, all born between 1950 and 1951. Participants had either shallow (≤ 4 mm) periodontal pockets or both shallow and deep (≥ 5 mm) periodontal pockets. Distinct microbial patterns were observed in shallow and deep periodontal pockets within the same oral cavity. Deep pockets exhibited a significantly higher abundance of species from genera such as Prevotella, Centipeda, Treponema, and Fusobacterium, while shallow pockets were enriched with species from Actinomyces, Pauljensenia, Streptococcus, and Gemella. The top significant species associated with deep pockets included Fretibacterium fastidiosum, Tannerella forsythia, and Treponema denticola, whereas shallow pockets were predominantly associated with Actinomyces species and Rothia dentocariosa. Additionally, shallow pockets in individuals with both pocket types showed a positive association with Tannerella forsythia, Porphyromonas gingivalis, and Fusobacterium nucleatum compared to shallow pockets in individuals with only shallow pockets. Metabolic pathways showed significant variation with pocket depth, with pathways such as lipopolysaccharide metabolism, lipid metabolism, and polyamine biosynthesis being positively associated with deep pockets. Overall, this study provides comprehensive microbiome analyses of periodontal pockets in aging adults, contributing to a better understanding of periodontal health and its potential impact on reducing systemic health risks in aging populations.

Subgingival Prevalence and Antibiotic Susceptibility of Selenomonas noxia

Background Selenomonas noxia is a putative periodontal pathogen in subgingival biofilm communities. This study compared the subgingival prevalence and levels of S. noxia in those with severe periodontitis and those with periodontal health and assessed the in vitro antibiotic susceptibility of the species. Methods Subgingival biofilm samples from 206 adults with stage III (severe) periodontitis and 48 adults with periodontal health were examined with an S. noxia-specific whole chromosomal nucleic acid probe. Minimum inhibitory concentration (MIC) values of six antibiotics against S. noxia were determined in vitro with antibiotic gradient strips. Results Selenomonas noxia was more frequently detected in patients with severe periodontitis (53.4%) than persons with periodontal health (20.8%) (2.6-fold more frequent, p = 0.0001, Fisher's exact test). Heavy subgingival colonization by S. noxia (≥106 cells/subject subgingival specimen) was also more frequent in persons with severe periodontitis (16.0%) than those with periodontal health (2.1%) (7.6-fold more frequent, p = 0.008, Fisher's exact test). Selenomonas noxia was susceptible in vitro to amoxicillin, azithromycin, clindamycin, doxycycline, and metronidazole (all MIC values ≤ 0.75 mg/L) but resistant to spiramycin (MIC > 32 mg/L). Conclusions Selenomonas noxia was significantly more prevalent at significantly higher subgingival levels in patients with severe periodontitis than adults with periodontal health. However, heavy S. noxia subgingival colonization was present in only a subset of severe periodontitis patients and rarely in those with periodontal health. Selenomonas noxia was susceptible in vitro to several antibiotics of potential therapeutic use in periodontitis therapy, with the exception of spiramycin. Selenomonas noxia may contribute to periodontitis in patients harboring high subgingival numbers of the organism.

Microbial composition of gastric lesions: differences based on Helicobacter pylori virulence profile

Helicobacter pylori infection is a major risk factor for gastric adenocarcinomas. In the case of the intestinal subtype, chronic gastritis and intestinal metaplasia are well-known sequential steps in carcinogenesis. H. pylori has high genetic diversity that can modulate virulence and pathogenicity in the human host as a cag Pathogenicity Island (cagPAI). However, bacterial gene combinations do not always explain the clinical presentation of the disease, indicating that other factors associated with H. pylori may play a role in the development of gastric disease. In this context, we characterized the microbial composition of patients with chronic gastritis (inactive and active), intestinal metaplasia, and gastric cancer as well as their potential association with H. pylori. To this end, 16 S rRNA metagenomic analysis was performed on gastric mucosa samples from patients with different types of lesions and normal gastric tissues. Our main finding was that H. pylori virulence status can contribute to significant differences in the constitution of the gastric microbiota between the sequential steps of the carcinogenesis cascade. Differential microbiota was observed in inactive and active gastritis dependent of the H. pylori presence and status (p = 0.000575). Pseudomonades, the most abundant order in the gastritis, was associated the presence of non-virulent H. pylori in the active gastritis. Notably, there are indicator genera according to H. pylori status that are poorly associated with diseases and provide additional evidence that the microbiota, in addition to H. pylori, is relevant to gastric carcinogenesis.

Gastric Microbiota in a Low-Helicobacter pylori Prevalence General Population and Their Associations With Gastric Lesions

INTRODUCTION:

Non–Helicobacter pylori microbiota might account for some cases with unexplained chronic gastritis that may in a minority eventually progress to gastric cancer through the Correa cascade. We characterized gastric microbiota by describing the normal stomach, compared it with early precancerous lesions and other disease states, and assessed whether H. pylori status affects bacterial diversity.

METHODS:

In a population-based study of those with and without gastrointestinal symptoms, cytology brush samples were collected during endoscopy from 316 individuals. Mucosal status was classified as normal mucosa (171), nonatrophic H. pylori gastritis (33), atrophic gastritis (12), or antral chemical gastritis (61). The 16S rRNA gene sequencing and analysis were performed to characterize the microbiota.

RESULTS:

Microbiota in atrophic gastritis and nonatrophic H. pylori gastritis stomachs were dysbiotic and differed from those in the normal stomach (P = 0.001). The normal stomach had the highest microbial diversity, followed by antral chemical gastritis. The atrophic gastritis and chronic H. pylori gastritis groups had the lowest diversity, a difference that was statistically significant (P = 0.01). Besides H. pylori, non–H. pylori bacteria accounted for group differences. Microbial network analysis showed that the normal group network was most highly connected, whereas the H. pylori gastritis group had the lowest connection. We found an increasing positive co-occurrence of oral bacteria in the stomach because samples deviated from the normal network, some of which were pathogens. The H. pylori–negative group had the highest microbial diversity (Shannon index) compared with the H. pylori–positive group (P = 0.001).

DISCUSSION:

In this low–H. pylori prevalence general population, the gastric mucosal microbiota of the normal stomach differed significantly from those with nonatrophic or atrophic gastritis. There was an increasing abundance of pathogenic bacteria from the normal state to early precancerous states.

Targeting hepatocyte growth factor in epithelial-stromal interactions in an in vitro experimental model of human periodontitis

Periodontitis is a chronic inflammatory disease leading to progressive connective tissue degradation and loss of the tooth-supporting bone. Clinical and experimental studies suggest that hepatocyte growth factor (HGF) is involved in the dysregulated fibroblast–epithelial cell interactions in periodontitis. The aim of this study was to explore effects of HGF to impact fibroblast-induced collagen degradation. A patient-derived experimental cell culture model of periodontitis was applied. Primary human epithelial cells and fibroblasts isolated from periodontitis-affected gingiva were co-cultured in a three-dimensional collagen gel. The effects of HGF neutralizing antibody on collagen gel degradation were tested and transcriptome analyses were performed. HGF neutralizing antibody attenuated collagen degradation and elicited expression changes of genes related to extracellular matrix (ECM) and cell adhesion, indicating that HGF signaling inhibition leads to extensive impact on cell–cell and cell–ECM interactions. Our study highlights a potential role of HGF in periodontitis. Antagonizing HGF signaling by a neutralizing antibody may represent a novel approach for periodontitis treatment.

Alterations in the oral and gut microbiome of colorectal cancer patients and association with host clinical factors

Previous studies have suggested that gut microbiota plays a critical role in colorectal cancer (CRC). Although preliminary comparisons of the oral and gut microbiota between CRC and healthy control (HC) patients have been made, the association between microbiome abundance and host clinical factors has not been fully illustrated, especially oral health conditions. Matching samples of unstimulated saliva, cancer tissues or biopsies and stools were collected from 30 CRC and 30 HC patients from Shanghai Jiao Tong University affiliated Renji Hospital for 16S rRNA sequencing analysis. The diversity in salivary and mucosal microbiome, but not stool microbiome of CRC group, was significantly different from that of HC, as demonstrated by the Principal Component Analysis. Logistic regression analysis revealed that older age and higher oral hygiene index (OHI) were independent risk factors for CRC, with odds ratios and 95% confidence intervals of 1.159 (1.045-1.284) and 4.398 (1.328-14.567), respectively. Salivary Firmicutes to Bacteroides ratio in CRC was significantly higher than that in the HC group (P < .001), while the mucosal ratio was slightly decreased in CRC (P < .05). Salivary Rothia and Streptococcus levels were positively correlated with OHI, while Alloprevotella, Fusobacterium, Peptostreptoccus and Prevotella genera levels were negatively associated with OHI. NetShift analysis revealed that salivary Peptococcus, Centipeda and mucosal Subdoligranulum genus might act as key drivers during the process of carcinogenesis. In conclusion, the current study provides insights into the potential influence of host clinical factors on oral and gut microbiome composition and can be a guide for future studies.

The presence of bacteria within tissue provides insights into the pathogenesis of oral lichen planus

Oral lichen planus (OLP) is a chronic T cell-mediated mucocutaneous disease of unknown etiopathogenesis. Although various antigens have been considered, what actually triggers the inflammatory response of T cells is unknown. In the present study, we propose that intracellular bacteria present within tissues trigger T cell infiltration and provide target antigens. Sections of OLP (n = 36) and normal (n = 10) oral mucosal tissues were subjected to in situ hybridization using a universal probe targeting the bacterial 16S rRNA gene and immunohistochemistry with anti-CD3, anti-CD4, anti-CD8, and anti-macrophage-specific antibodies. Bacteria were abundant throughout the epithelium and the lamina propria of OLP tissues, which exhibited positive correlations with the levels of infiltrated CD3(+), CD4(+), and CD8(+) cells. Furthermore, bacteria were detected within the infiltrated T cells. Pyrosequencing analysis of the mucosal microbiota from OLP patients (n = 13) and control subjects (n = 11) revealed a decrease in Streptococcus and increases in gingivitis/periodontitis-associated bacteria in OLP lesions. Using the selected bacterial species, we demonstrated that certain oral bacteria damage the epithelial physical barrier, are internalized into epithelial cells or T cells, and induce production of T cell chemokines CXCL10 and CCL5. Our findings provide insights into the pathogenesis of OLP.

Vikodak--A Modular Framework for Inferring Functional Potential of Microbial Communities from 16S Metagenomic Datasets

Background

The overall metabolic/functional potential of any given environmental niche is a function of the sum total of genes/proteins/enzymes that are encoded and expressed by various interacting microbes residing in that niche. Consequently, prior (collated) information pertaining to genes, enzymes encoded by the resident microbes can aid in indirectly (re)constructing/ inferring the metabolic/ functional potential of a given microbial community (given its taxonomic abundance profile). In this study, we present Vikodak—a multi-modular package that is based on the above assumption and automates inferring and/ or comparing the functional characteristics of an environment using taxonomic abundance generated from one or more environmental sample datasets. With the underlying assumptions of co-metabolism and independent contributions of different microbes in a community, a concerted effort has been made to accommodate microbial co-existence patterns in various modules incorporated in Vikodak.

Results

Validation experiments on over 1400 metagenomic samples have confirmed the utility of Vikodak in (a) deciphering enzyme abundance profiles of any KEGG metabolic pathway, (b) functional resolution of distinct metagenomic environments, (c) inferring patterns of functional interaction between resident microbes, and (d) automating statistical comparison of functional features of studied microbiomes. Novel features incorporated in Vikodak also facilitate automatic removal of false positives and spurious functional predictions.

Conclusions

With novel provisions for comprehensive functional analysis, inclusion of microbial co-existence pattern based algorithms, automated inter-environment comparisons; in-depth analysis of individual metabolic pathways and greater flexibilities at the user end, Vikodak is expected to be an important value addition to the family of existing tools for 16S based function prediction.

Availability and Implementation

A web implementation of Vikodak can be publicly accessed at: http://metagenomics.atc.tcs.com/vikodak. This web service is freely available for all categories of users (academic as well as commercial).