Detection of Red complex bacteria, P. gingivalis, T. denticola and T. forsythia in infected root canals and their association with clinical signs and symptoms

Tiwari, Shailesh; Saxena, Sudhanshu; Kumari, Aarti; Chatterjee, Silpi; Hazra, Adreet; Choudhary, Alok Ratan

doi:10.4103/jfmpc.jfmpc_1177_19

Cited by 8 publications

(4 citation statements)

References 31 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In human buccal mucosa, we determined that toll-like receptor chemokine signaling pathway hsa04062 was upregulated. Interestingly, the toll-like receptor chemokine signaling pathway is induced when oral mucositis occurs after bacteria colonize in ulcers [ 74 ]. Toll-like receptors have been previously implicated for their involvement in periodontitis since bacteria invading oral tissues can cause the release of pro-inflammatory cytokines leading to host tissue degradation [ 75 ].…”

Section: Discussionmentioning

confidence: 99%

Human oral mucosa and oral microbiome interactions following supragingival plaque reconstitution in healthy volunteers: a diet-controlled balanced design proof-of-concept model to investigate oral pathologies

Mougeot,

Beckman,

Morton

et al. 2023

Journal of Oral Microbiology

View full text Add to dashboard Cite

Changes in the oral microbiome may contribute to oral pathologies, especially in patients undergoing cancer therapy. Interactions between oral microbiome and oral mucosa may exacerbate inflammation. We determined whether probiotic-controlled plaque formation could impact proximal oral mucosa gene expression profiles in healthy volunteers. A 3-weeks balanced sample collection design from healthy volunteers (HVs) was implemented. At Week-1 plaques samples and labial mucosa brush biopsies were obtained from HVs in the morning ( N = 4) and/or in the afternoon ( N = 4), and groups were flipped at Week-3. A fruit yogurt and tea diet were given 2-4hrs before sample collection. mRNA gene expression analysis was completed using RNA-Seq and DESeq2. Bacterial taxa relative abundance was determined by 16S HOMI NGS . Bacterial diversity changes and metabolic pathway enrichment were determined using PRIMERv7 and LEfSe programs. Alpha- and beta- diversities did not differ morning (AM) vs. afternoon (PM). The most affected KEGG pathway was Toll-like receptor signaling in oral mucosa. Eighteen human genes and nine bacterial genes were differentially expressed in plaque samples. Increased activity for ‘caries-free’ health-associated calcifying Corynebacterium matruchotii and reduced activity for Aggregatibacter aphrophilus , an opportunistic pathogen, were observed. Microbial diversity was not altered after 8 hours plaque formation in healthy individuals as opposed to gene expression.

show abstract

Section: Discussionmentioning

confidence: 99%

Human oral mucosa and oral microbiome interactions following supragingival plaque reconstitution in healthy volunteers: a diet-controlled balanced design proof-of-concept model to investigate oral pathologies

Mougeot,

Beckman,

Morton

et al. 2023

Journal of Oral Microbiology

View full text Add to dashboard Cite

show abstract

“…Flexible wire allows periodontal patients' teeth to move physiologically. 29 Flat braided wires are not as commonly used in bonded retainers as circular wires. Also examined is the amount of tiny wires in multi-stranded cables.…”

Section: Discussionmentioning

confidence: 99%

Comparative evaluation of salivary microbial levels of red complex bacteria in patients wearing three different types of fixed lingual retainers: a clinical study

Hussain,

Pasha,

Nayak

et al. 2023

JDHODT

View full text Add to dashboard Cite

Introduction: One of the major challenges for orthodontists is the long-term stability of orthodontic treatment. This has urged orthodontists to seek methods to ensure stable results following the completion of orthodontic treatment. Incisor crowding is reported to occur in follow-up stages of orthodontically treated patients. Maintenance of incisor alignment following orthodontic treatment has led to the development of retainers (removable and fixed). Fixed lingual retainers have been criticized for their potential to compromise the periodontal status, due to accumulation of plaque and calculus along the retainer wire. Objectives: The aim of this study was to evaluate and compare salivary microbial levels of the “Red Complex Bacteria” after orthodontic treatment with fixed appliances, during the retention period using three different types of fixed lingual retainer wires. Materials and methods: 30 patients who have completed orthodontic treatment and met the inclusion criteria were randomly divided into 3 groups with 10 patients each. Fixed lingual retainers (Retainium or Penta-One or Bond-a-Braid wire) were bonded to the lingual surfaces of the six anterior teeth. Saliva samples were collected at debonding (T0), 4 weeks after debonding (T1) and 8 weeks after debonding (T2). Saliva samples were stored at -80o Celsius followed by PCR testing, One- way ANOVA test followed by Tukey's post hoc Test was used to compare the mean PCR values of P. gingivalis, T. denticola and T. forsythia (Red Complex Bacteria) between 3 groups at different time intervals. Repeated measures of ANOVA test followed by Bonferroni's post hoc Test was used to compare the mean PCR values of various microorganisms between different time intervals in each group. Results: The PCR test results demonstrated that the highest Red Complex Bacterial growth was observed in Group 3 (Bond-a-Braid wire) followed by Group 2 (Penta-One wire). Whereas the least Red Complex Bacterial growth was observed in Group 1 (Retainium wire) at different time intervals (T0, T1, T2). The maximum growth of P. gingivalis was observed at debonding (T0). The least growth of P. gingivalis was seen at 8 weeks after debonding (T2). Similarly, T. denticola and T. forsythia showed highest values at debonding (T0), while lowest values were observed at 8 weeks after debonding (T2). Conclusion: The present study concluded that there is statistically significant difference (p<0.001) in the salivary microbial levels (Red Complex Bacteria) with different types of fixed lingual retainer wires at three time intervals (T0, T1 and T2).

show abstract

“…This results in endothelial activation characterized by the increase in the expression of IL-8 (49). Bacteroides surface protein A (BspA) is identified in oral bacteria like Tannerella forsythia (50), the major oral pathogens in abscess formation (51). Binding of BspA to TLR2 causes the release of chemokine IL-8 from the human gingival epithelial cells (52).…”

Section: Discussionmentioning

confidence: 99%

Comparative Metabolomics Reveals the Microenvironment of Common T-Helper Cells and Differential Immune Cells Linked to Unique Periapical Lesions

et al. 2021

View full text Add to dashboard Cite

Periapical abscesses, radicular cysts, and periapical granulomas are the most frequently identified pathological lesions in the alveolar bone. While little is known about the initiation and progression of these conditions, the metabolic environment and the related immunological behaviors were examined for the first time to model the development of each pathological condition. Metabolites were extracted from each lesion and profiled using gas chromatography-mass spectrometry in comparison with healthy pulp tissue. The metabolites were clustered and linked to their related immune cell fractions. Clusters I and J in the periapical abscess upregulated the expression of MMP-9, IL-8, CYP4F3, and VEGF, while clusters L and M were related to lipophagy and apoptosis in radicular cyst, and cluster P in periapical granuloma, which contains L-(+)-lactic acid and ethylene glycol, was related to granuloma formation. Oleic acid, 17-octadecynoic acid, 1-nonadecene, and L-(+)-lactic acid were significantly the highest unique metabolites in healthy pulp tissue, periapical abscess, radicular cyst, and periapical granuloma, respectively. The correlated enriched metabolic pathways were identified, and the related active genes were predicted. Glutamatergic synapse (16–20),-hydroxyeicosatetraenoic acids, lipophagy, and retinoid X receptor coupled with vitamin D receptor were the most significantly enriched pathways in healthy control, abscess, cyst, and granuloma, respectively. Compared with the healthy control, significant upregulation in the gene expression of CYP4F3, VEGF, IL-8, TLR2 (P < 0.0001), and MMP-9 (P < 0.001) was found in the abscesses. While IL-12A was significantly upregulated in cysts (P < 0.01), IL-17A represents the highest significantly upregulated gene in granulomas (P < 0.0001). From the predicted active genes, CIBERSORT suggested the presence of natural killer cells, dendritic cells, pro-inflammatory M1 macrophages, and anti-inflammatory M2 macrophages in different proportions. In addition, the single nucleotide polymorphisms related to IL-10, IL-12A, and IL-17D genes were shown to be associated with periapical lesions and other oral lesions. Collectively, the unique metabolism and related immune response shape up an environment that initiates and maintains the existence and progression of these oral lesions, suggesting an important role in diagnosis and effective targeted therapy.

show abstract

Detection of Red complex bacteria, P. gingivalis, T. denticola and T. forsythia in infected root canals and their association with clinical signs and symptoms

Cited by 8 publications

References 31 publications

Human oral mucosa and oral microbiome interactions following supragingival plaque reconstitution in healthy volunteers: a diet-controlled balanced design proof-of-concept model to investigate oral pathologies

Human oral mucosa and oral microbiome interactions following supragingival plaque reconstitution in healthy volunteers: a diet-controlled balanced design proof-of-concept model to investigate oral pathologies

Comparative evaluation of salivary microbial levels of red complex bacteria in patients wearing three different types of fixed lingual retainers: a clinical study

Comparative Metabolomics Reveals the Microenvironment of Common T-Helper Cells and Differential Immune Cells Linked to Unique Periapical Lesions

Contact Info

Product

Resources

About