Increased bacterial load of Filifactor alocis in deep periodontal pockets discriminate between periodontitis stage 3 and 4

Frontiers in Oral Health, Journal Year: 2025, Volume and Issue: 6

Published: March 27, 2025

Introduction Increasing evidence supports the association of Filifactor alocis with periodontitis; therefore, this work was conducted to assess prevalence and proportion F. in subgingival biofilm samples from patients periodontitis stage 3 4, its potential differentiate between these stages. Methods This cross-sectional study included 50 whom were collected using paper points. followed by recording clinical periodontal parameters including plaque index, bleeding on probing, probing pocket depth (PPD), attachment loss (CAL). The total loads bacteria determined via quantitative PCR. Results All diagnosed 3/4 grade B/C, a 727 pockets, which pooled ( n = 114) for microbiological analysis. Qualitative analyses indicated that bacterial load highest 4 C cases, also increased increasing PPD severity CAL. An ROC analysis both concentration could significantly discriminate periodontitis. regression model suggested one-unit increase PPD, CAL explain 23.9% 14.9% concentration, respectively. Conclusion results demonstrate is severe mainly at sites deep pockets greater loss. Additionally, bacterium possesses diagnostic cases different severities.

Language: Английский

Role of Salivary Biomarkers IL-1β and MMP-8 in Early Detection and Staging of Periodontal Disease

Medicina, Journal Year: 2025, Volume and Issue: 61(4), P. 760 - 760

Published: April 20, 2025

Background: Periodontal disease is a chronic inflammatory condition affecting the supporting tissues of teeth. Early diagnosis crucial for preventing severe complications. This study investigates and compares utility two salivary biomarkers, interleukin-1 beta (IL-1β) matrix metalloproteinase-8 (MMP-8), in early detection staging periodontal disease. Methods: included 189 patients, all whom were evaluated both clinically biologically. Each participant provided unstimulated saliva samples, which analyzed using ELISA methods to quantify IL-1β MMP-8 levels. Clinical data, including probing depth (3.9 ± 0.6 mm), clinical attachment loss (3.4 Plaque Index (2.35 0.55), collected subjects. Biomarker concentrations then correlated with these parameters severity, classified according 2018 EFP/AAP criteria. Results: levels (210 95 pg/mL) strongly associated gingival inflammation, while (185 140 ng/mL) tissue destruction (p < 0.01). showed higher sensitivity diagnosing advanced stages = 0.002), whereas was more effective detecting changes Logistic regression identified as significant predictor (coefficient 0.85, p 0.001) an indicator inflammation 0.25, 0.02). Conclusions: Both biomarkers are valuable tools relevant identifying cases, supports detection. Their combined use may enhance diagnostic accuracy guide personalized care.

Language: Английский