Quantification by qPCR of Pathobionts in Chronic Periodontitis: Development of Predictive Models of Disease Severity at Site-Specific Level

Association between dysbiotic perio-pathogens and inflammatory initiators and mediators in COVID-19 patients with diabetes

It has been suggested that a corona virus infection is linked to chronic periodontitis (COVID-19). Our objectives were to look at the expression of angiotensin-converting enzyme-2 (ACE2) in periodontal compartments containing periodontal infections to determine if ACE2 is directly or indirectly responsible for the inflammation in periodontal tissues getting worse. In this study, six non-COVID-19 periodontitis patients without diabetes served as controls, and 23 hospitalized periodontitis patients were admitted with PCR-confirmed COVID-19 with diabetes mellitus (Group 1/G1, n = 10), and without diabetes (Group 2/G2, n = 13). We evaluated the mRNA expression of ACE2, IL-6, IL-8, complement C3, and LL-37, as well as the relative proportion of Porphyromonas gingivalis, Fusobacterium nucleatum, and Veillonella parvula to represent the dysbiosis condition in periodontal microenvironment using subgingival plaque and gingival crevicular fluids (GCF) samples and quantitative real time PCR (qPCR). Every analysis was done to ascertain how they related to one another. The area under the curve (AUC) and receiver operating characteristic (ROC) curve were used to determine the sensitivity and specificity of inflammatory indicators. All the grouped patients had ACE2 detected, according to our findings, but only the G1 patients had a positive correlation (p < 0.05) between ACE2 expression and the inflammatory markers. The combination of IL-6 and C3 mRNAs was found to be 0.78 and 0.55 for the G1 group and the G2 group, respectively, based on the ROC and AUC values. According to our research, the relationship between complement C3 and IL-6 may be able to predict the degree of periodontal inflammation in COVID-19 patients who also have diabetes.

Characteristics of the Salivary Microbiota in Periodontal Diseases and Potential Roles of Individual Bacterial Species To Predict the Severity of Periodontal Disease

The purposes of this study were to examine the compositional changes in the salivary microbiota according to the severity of periodontal disease and to verify whether the distribution of specific bacterial species in saliva can distinguish the severity of disease. Saliva samples were collected from 8 periodontally healthy controls, 16 patients with gingivitis, 19 patients with moderate periodontitis, and 29 patients with severe periodontitis. The V3 and V4 regions of the 16S rRNA gene in the samples were sequenced, and the levels of 9 bacterial species showing significant differences among the groups by sequencing analysis were identified using quantitative real-time PCR (qPCR). The predictive performance of each bacterial species in distinguishing the severity of disease was evaluated using a receiver operating characteristic curve. Twenty-nine species, including Porphyromonas gingivalis, increased as the severity of disease increased, whereas 6 species, including Rothia denticola, decreased. The relative abundances of P. gingivalis, Tannerella forsythia, Filifactor alocis, and Prevotella intermedia determined by qPCR were significantly different among the groups. The three bacterial species P. gingivalis, T. forsythia, and F. alocis were positively correlated with the sum of the full-mouth probing depth and were moderately accurate at distinguishing the severity of periodontal disease. In conclusion, the salivary microbiota showed gradual compositional changes according to the severity of periodontitis, and the levels of P. gingivalis, T. forsythia, and F. alocis in mouth rinse saliva had the ability to distinguish the severity of periodontal disease. IMPORTANCE Periodontal disease is one of the most widespread medical conditions and the leading cause of tooth loss, imposing high economic costs and an increasing burden worldwide as life expectancy increases. Changes in the subgingival bacterial community during the progression of periodontal disease can affect the entire oral ecosystem, and bacteria in saliva can reflect the degree of bacterial imbalance in the oral cavity. This study explored whether the specific bacterial species in saliva can distinguish the severity of periodontal disease by analyzing the salivary microbiota and suggested P. gingivalis, T. forsythia, and F. alocis as biomarkers for distinguishing the severity of periodontal disease in saliva.

Porphyromonas gingivalis association with inflammatory markers and exosomal miRNA-155 in saliva of periodontitis patients with and without diabetes diagnosed with COVID-19

Background

/Purposes: Studies have indicated that salivary molecules from patients with periodontitis and diabetes are confounded with pathological conditions associated with SARS-CoV-2 infection. The study aimed to address whether the abundance of Porphyromonas gingivalis which causes periodontitis, differed compared with that of Aggregatibacter actinomycetemcomitans (used as control) and to analyze the correlation of periodontitis with the expression levels of severe acute respiratory syndrome coronavirus 2 receptor (ACE2) and periodontitis inflammatory markers (TLR-2/TLR-4, TNFα, and miR-155).

Materials and Methods

A saliva sample (5 mL) was obtained from 23 hospitalized patients with COVID-19, categorized into two groups: diabetic (G1, n = 10) and non-diabetic (G2, n = 13). Saliva from patients with periodontitis without diabetes and coronavirus disease 2019 (COVID-19; n = 6) were included as control. The quantitative real-time polymerase chain reaction measured the levels of P. gingivalis and A. actinomycetemcomitans, as well as periodontitis markers in saliva. The obtained data were analyzed using one-way ANOVA and the Spearman correlation test.

Results

The abundance of P. gingivalis was observed to be higher (p < 0.05) in saliva of patients with diabetes (G1) than in those without diabetes (G2). A contradictory trend was observed for A. actinomycetemcomitans. The transcription level of ACE2 was comparable in all groups tested, while the expression of periodontitis markers varied. The relationships and sensitivity/specificity among P. gingivalis infection ACE2 expression, and inflammatory markers were also evaluated.

Conclusions

This study showed that the association between P. gingivalis infection and ACE2 expression might reflect the characteristics of saliva in COVID-19 patients with and without diabetes. However, the relationships between TLR-4 and miR-155 are more specific in discriminating against COVID-19 patients with and without diabetes.

The Efficiency of Photodynamic Therapy in the Bacterial Decontamination of Periodontal Pockets and Its Impact on the Patient

Research in the field of periodontal disease continues to focus on disease-associated microorganisms, as the microbial plaque and the host immune responses are considered to be important causative factors, that are highly responsible for the progression of this disease. The purpose of this article is to compare the reduction in the number of specific periodontopathogens in two test groups according to different therapeutic approaches in periodontal disease and to show possible differences. This article is based on a prospective clinical study involving eighteen subjects with forty-four average periodontal pockets assigned to study groups treated by two different methods, SRP and SRP followed by a single PDT application. Efficiency in removing specific bacterial species was evaluated by PCR testing, at baseline and immediately after treatment. The hypothesis that using SRP + aPDT results in an increased decontamination potential was confirmed statistically, when all five specific bacterial pathogens were investigated together. When the pathogens were considered separately, two of the five microorganisms tested were significantly lower in the SRP + PDT group (p < 0.00), and important germ counts reductions were also observed for the other three. There is also a statistically significant relation between the pain at 48 h postoperatively and the type of treatment the patients received, as resulted from the Questionnaire Form. Our results demonstrate that aPDT, as an adjunctive treatment to conservative mechanical cleaning of root surfaces at sites affected by periodontitis, represents an effective tool in terms of reducing specific periodontopathogen germs.

Relationships between Solobacterium moorei and Prevotella intermedia in subgingival microbiota of periodontitis patients with halitosis: A preliminary study using qPCR

Objective

Material & methods

Results

Conclusion

Pathobionts: mechanisms of survival, expansion, and interaction with host with a focus on Clostridioides difficile

Pathobionts are opportunistic microbes that emerge as a result of perturbations in the healthy microbiome due to complex interactions of various genetic, exposomal, microbial, and host factors that lead to their selection and expansion. Their proliferations can aggravate inflammatory manifestations, trigger autoimmune diseases, and lead to severe life-threatening conditions. Current surge in microbiome research is unwinding these complex interplays between disease development and protection against pathobionts. This review summarizes the current knowledge of pathobiont emergence with a focus on Clostridioides difficile and the recent findings on the roles of immune cells such as iTreg cells, Th17 cells, innate lymphoid cells, and cytokines in protection against pathobionts. The review calls for adoption of innovative tools and cutting-edge technologies in clinical diagnostics and therapeutics to provide insights in identification and quantification of pathobionts.

Estimation of neopterin as a biomarker in biofluids of pre and post-menopausal women after initial periodontal therapy: A biochemical assay

Context:

Periodontitis (PDD) is a chronic inflammatory condition by nature which destroys the surrounding tooth structures. Menopause (pre and post) worsens the inflammatory state. Biofluids could serve as sources of biomarkers that could diagnose or indicate the intensity and extent of both conditions.

Aims:

This study aimed to guestimate the various biofluids of neopterin (NP) levels in premenopause (pre-m) and postmenopausal (post-m) women with PDD after initial periodontal therapy (IPT).

Settings and Design:

This was an interventional cross-sectional study.

Materials and Methods:

Based on menstrual history, within the age range of 40–60 years, 30 female patients having PDD participated, who were grouped into pre-m and post-m, each group comprised 15 subjects. A biochemical test of NP levels was done at the initial and three months following IPT. Statistics used: Group comparisons and percentage decrement using independent sample t-test and paired t-test for intragroup comparison were done with the version 21, IBM SPSS software.

Results:

Intragroup NP analysis at different time points showed significant improvement. Intergroup comparison, however, has shown significant improvement in the premenopausal group (Group I) only.

Conclusions:

Reduced levels of NP were found in pre-m and post-m groups 3 months after IPT, inferring that IPT is a paragon in periodontal therapy and NP might be a good diagnostic marker to detect PDD.

Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis

Periodontitis progression is accompanied by irreversible alveolar bone absorption and leads to tooth loss. Early diagnosis is important for tooth stability and periodontal tissue preservation. However, there is no recognized miRNA diagnostic signature with convincing sensitivity and specificity for periodontitis. In this study, we obtained miRNA array expression profiles of periodontitis from the Gene Expression Omnibus (GEO) database. After screening for differentially expressed miRNAs, the least absolute shrinkage and selection operator (LASSO) method was performed to identify and construct a 17-miRNA-based diagnostic signature (hsa-miR-3917, hsa-mir-4271, hsa-miR-3156, hsa-miR-3141, hsa-miR-1246, hsa-miR-125a-5p, hsa-miR-671-5p, hcmv-mir-UL70, hsa-miR-650, hsa-miR-497-3p, hsa-miR-145-3p, hsa-miR-141-3p, hsa-miR-210-3p, hsa-miR-204-3p, hsa-miR-203a-5p, hsa-miR-99a-3p, and hsa-miR-30a-3p). Periodontal tissue samples with higher risk scores were more likely to show symptoms of periodontitis. Then, the receiver operating characteristic (ROC) curves were used to assess the diagnostic value of the miRNA signature, which indicated that the optimum cutoff value in periodontitis diagnosis was 0.5056 with an area under the ROC curve (AUC) of 0.996, a sensitivity of 97.3%, a specificity of 100.0% in the training cohort; in the testing cohort, the corresponding values were as follows: an AUC of 0.998, a sensitivity of 97.9%, and a specificity of 91.7%. We next evaluated the efficacy of the signature in differentiating disease subtype and affected range. Furthermore, we conducted functional enrichment analysis of the 17 miRNA-targeted mRNAs, including the regulation of mTOR activity and cell autophagy, Th1/Th2 cell balance and immunoregulation, cell apoptosis, and so on. In summary, our study identified and validated a 17-miRNA diagnostic signature with convincing AUC, sensitivity, and specificity for periodontitis.

Biochemical Analysis of Three Biological Fluids and its Response to Non-Surgical Periodontal Therapy in Pre and Postmenopausal Women with Periodontitis

Objectives

Periodontitis is a common chronic inflammatory disease characterized by the destruction of the supporting structures of the teeth. The stages of menopause also worsen inflammatory condition. Biomarkers from biological fluids can be used as a diagnostic indicator to correlate these two conditions of present and future disease activity. The aim of the present study was to evaluate the neopterin levels in three biological fluids obtained from pre- and postmenopausal women with periodontitis following non-surgical periodontal therapy (NSPT, that is, scaling).

Methods

This was a cross-sectional interventional study. Thirty women, aged 40–60 years, with periodontitis were selected according to their menstrual history. They were divided into the pre- and postmenopausal groups, with each group including 15 participants. The neopterin levels were measured in both groups at baseline and 3 months after NSPT. Intergroup comparison and percentage decrement analysis were performed using the independent sample t test, and intragroup comparison was performed using the paired t test.

Results

There were statistically significant reductions in the mean values of saliva, urine, and plasma from baseline to 3 months after NSPT in the groups. Intergroup comparison showed no significant values in the postmenopausal group, and a significant reduction was seen in the mean values was seen in the mean values.

Conclusions

Neopterin levels decreased at 3 months after NSPT in both the groups, suggesting that NSPT can be a gold standard therapy and that the neopterin level could be a indicator to identify periodontal destruction.

Microbiome and Culture Based Analysis of Chronic Rhinosinusitis Compared to Healthy Sinus Mucosa

The role of bacteria in chronic rhinosinusitis (CRS) is still not well understood. Whole microbiome analysis adds new aspects to our current understanding that is mainly based on isolated bacteria. It is still unclear how the results of microbiome analysis and the classical culture based approaches interrelate. To address this, middle meatus swabs and tissue samples were obtained during sinus surgery in 5 patients with CRS with nasal polyps (CRSwNP), 5 patients with diffuse CRS without nasal polyps (CRSsNP), 5 patients with unilateral purulent maxillary CRS (upm CRS) and 3 patients with healthy sinus mucosa. Swabs were cultured, and associated bacteria were identified. Additionally, parts of each tissue sample also underwent culture approaches, and in parallel DNA was extracted for 16S rRNA gene amplicon-based microbiome analysis. From tissue samples 4.2 ± 1.2 distinct species per patient were cultured, from swabs 5.4 ± 1.6. The most frequently cultured species from the swabs were Propionibacterium acnes, Staphylococcus epidermidis, Corynebacterium spp. and Staphylococcus aureus. The 16S-RNA gene analysis revealed no clear differentiation of the bacterial community of healthy compared to CRS samples of unilateral purulent maxillary CRS and CRSwNP. However, the bacterial community of CRSsNP differed significantly from the healthy controls. In the CRSsNP samples Flavobacterium, Pseudomonas, Pedobacter, Porphyromonas, Stenotrophomonas, and Brevundimonas were significantly enriched compared to the healthy controls. Species isolated from culture did not generally correspond with the most abundant genera in microbiome analysis. Only Fusobacteria, Parvimonas, and Prevotella found in 2 unilateral purulent maxillary CRS samples by the cultivation dependent approach were also found in the cultivation independent approach in high abundance, suggesting a classic infectious pathogenesis of odontogenic origin in these two specific cases. Alterations of the bacterial community might be a more crucial factor for the development of CRSsNP compared to CRSwNP. Further studies are needed to investigate the relation between bacterial community characteristics and the development of CRSsNP.