Relationship between salivary leukotriene B4 levels and salivary mucin or alveolar bone resorption, in subjects with periodontal health and disease

Metabolic profiling of peri-implant crevicular fluid in peri-implantitis

OBJECTS

This study aims to explore the etiology of peri-implantitis by comparing the metabolic profiles in peri-implant crevicular fluid (PICF) from patients with healthy implants (PH) and those with peri-implantitis (PI).

MATERIALS AND METHODS

Fifty-six patients were enrolled in this cross-sectional study. PICF samples were collected and analyzed using both non-targeted and targeted metabolomics approaches. The relationship between metabolites and clinical indices including probing depth (PD), bleeding on probing (BOP), and marginal bone loss (MBL) was examined. Additionally, submucosal microbiota was collected and analyzed using 16S rRNA gene sequencing to elucidate the association between the metabolites and microbial communities.

RESULTS

Significant differences in metabolic profiles were observed between the PH and PI groups, with 179 distinct metabolites identified. In the PI group, specific amino acids and fatty acids were significantly elevated compared to the PH group. Organic acids including succinic acid, fructose-6-phosphate, and glucose-6-phosphate were markedly higher in the PI group, showing positive correlations with mean PD, BOP, and MBL. Metabolites that increased in the PI group positively correlated with the presence of Porphyromonas and Treponema and negatively with Streptococcus and Haemophilus.

CONCLUSIONS

This study establishes a clear association between metabolic compositions and peri-implant condition, highlighting enhanced metabolite activity in peri-implantitis. These findings open avenues for further research into metabolic mechanisms of peri-implantitis and their potential therapeutic implications.

Salivary Amylase and Mucin in Chronic Periodontitis: Pre- /Posttherapy

AIM

The study aims to investigate the potential of salivary amylase as a reliable biochemical marker for assessing periodontal disease progression, establishing a potential correlation between salivary amylase levels and periodontal disease severity.

MATERIALS AND METHODS

The study included 40 participants, aged 25-65, equally divided into a control and study group of 20 individuals each. Clinical parameters, such as oral hygiene index, gingival index, probing depth, and clinical attachment level were recorded. Saliva samples were collected and analyzed for amylase and mucin levels using a semi-auto analyzer and spectrophotometer, respectively. These clinical parameters and salivary biomarkers were evaluated before and after 45 days of phase I periodontal therapy. Statistical analysis, including independent samples t-test, paired samples t-test, and correlation analysis were performed to assess the treatment effectiveness and explore associations between clinical parameters and salivary biomarkers.

RESULTS

The study group with chronic generalized periodontitis showed significantly higher salivary amylase (27022.5 ± 8598.9) and mucin levels (3258 ± 724.2) and worse clinical parameters than the control group at baseline. However, after phase I periodontal therapy, the study group exhibited reduced salivary biomarkers amylase (17924.0 ± 4703.6) and mucin (1828.45 ± 314.07) and improved clinical parameters, indicating the effectiveness of the treatment in enhancing periodontal health compared with the control group. Positive correlations were found between clinical parameters and salivary amylase/mucin levels both before and after therapy (p < 0.001).

CONCLUSION

Salivary amylase and mucin levels hold promise as valuable biomarkers for diagnosing active periodontal disease and evaluating treatment outcomes after phase I therapy.

CLINICAL SIGNIFICANCE

Salivary biomarker comparison offers a noninvasive diagnostic tool for periodontal disease, improving early detection and personalized treatment planning. Further research is required to validate its clinical value fully.

Salivary biomarkers: novel noninvasive tools to diagnose chronic inflammation

Several chronic disorders including type 2 diabetes (T2D), obesity, heart disease and cancer are preceded by a state of chronic low-grade inflammation. Biomarkers for the early assessment of chronic disorders encompass acute phase proteins (APP), cytokines and chemokines, pro-inflammatory enzymes, lipids and oxidative stress mediators. These substances enter saliva through the blood flow and, in some cases, there is a close relation between their salivary and serum concentration. Saliva can be easily collected and stored with non-invasive and cost-saving procedures, and it is emerging the concept to use it for the detection of inflammatory biomarkers. To this purpose, the present review aims to discuss the advantages and challenges of using standard and cutting-edge techniques to discover salivary biomarkers which may be used in diagnosis/therapy of several chronic diseases with inflammatory consequences with the pursuit to possibly replace conventional paths with detectable soluble mediators in saliva. Specifically, the review describes the procedures used for saliva collection, the standard approaches for the measurement of salivary biomarkers and the novel methodological strategies such as biosensors to improve the quality of care for chronically affected patients.

Regulation of inflammation by lipid mediators in oral diseases

Lipid mediators (LM) of inflammation are a class of compounds derived from ω-3 and ω-6 fatty acids that play a wide role in modulating inflammatory responses. Some LM possess pro-inflammatory properties, while others possess proresolving characteristics, and the class switch from pro-inflammatory to proresolving is crucial for tissue homeostasis. In this article, we review the major classes of LM, focusing on their biosynthesis and signaling pathways, and their role in systemic and, especially, oral health and disease. We discuss the detection of these LM in various body fluids, focusing on diagnostic and therapeutic applications. We also present data showing gender-related differences in salivary LM levels in healthy controls, leading to a hypothesis on the etiology of inflammatory diseases, particularly Sjögren's syndrome. We conclude by enumerating open areas of research where further investigation of LM is likely to result in therapeutic and diagnostic advances.