Metabolomic signatures distinguish extracellular vesicles from osteoclasts and odontoclasts.

AIMS: Pathological dental root resorption and alveolar bone loss are often detected only after irreversible damage. Biomarkers in the gingival crevicular fluid or saliva could provide a means for early detection; however, such biomarkers have proven elusive. We hypothesize that a multiomic approach might yield reliable diagnostic signatures for root resorption and alveolar bone loss. Previously, we showed that extracellular vesicles (EVs) from osteoclasts and odontoclasts differ in their protein composition. In this study, we investigated the metabolome of EVs from osteoclasts, odontoclasts and clasts (non-resorbing clastic cells). MATERIALS AND METHODS: Mouse haematopoietic precursors were cultured on dentine, bone or plastic, in the presence of recombinant RANKL and CSF-1 to trigger differentiation along the clastic line. On Day 7, the cells were fixed and the differentiation state and resorptive status of the clastic cells were confirmed. EVs were isolated from the conditioned media on Day 7 and characterized by nanoparticle tracking and electron microscopy to ensure quality. Global metabolomic profiling was performed using a Thermo Q-Exactive Orbitrap mass spectrometer with a Dionex UHPLC and autosampler. RESULTS: We identified 978 metabolites in clastic EVs. Of those, 79 are potential biomarkers with Variable Interdependent Parameters scores of 2 or greater. Known metabolites cytidine, isocytosine, thymine, succinate and citrulline were found at statistically higher levels in EVs from odontoclasts compared with osteoclasts. CONCLUSION: We conclude that numerous metabolites found in odontoclast EVs differ from those in osteoclast EVs, and thus represent potential biomarkers for root resorption and periodontal tissue destruction.

Serotonin and norepinephrine reuptake inhibitors association with dry mouth in a hospital population.

OBJECTIVES: Xerostomia, or dry mouth, is a condition that results from the reduction or absence of saliva flow secondary to the use of certain medications. The objective of the present study was to analyze the relationship between xerostomia patients and the consumption of serotonin norepinephrine reuptake inhibitors (SNRIs). METHOD AND MATERIALS: The University of Florida (UF) Integrated Data (IDR) i2b2, for the period of June 2015 to September 2022, was used based on aggregates of the International Classification of Diseases 10th edition (ICD-10) diagnoses of dry mouth and use of SNRI. MedCalc Software was used to calculate odds ratios. RESULTS: The odds ratio for dry mouth in the SNRI group was 5.95 (95% CI 5.47 to 6.48, P < .0001). The odds ratio for dry mouth in females on SNRI was 5.48 (95% CI 4.97 to 6.02, P < .0001), for males 5.48 (95% CI 4.56 to 6.95), P < .0001), for children 2.87 (95% CI 1.19 to 6.96, P = .0192), and for adults 4.46 (95% CI 4.09 to 4.86, P < .0001). When the different SNRIs were analyzed separately, the odds ratio for dry mouth with the use of venlafaxine was 5.83 (95% CI 5.12 to 6.6, P < .0001), duloxetine 6.97 (95% CI 6.33 to 7.67, P <.0001), desvenlafaxine 5.24 (95% CI 3.65 to 7.52, P < .0001), and milnacipran 9.61 (95% CI 5.66 to 16.31, P < .0001). CONCLUSION: According to the present study, patients who are taking SNRIs are five-fold more likely to develop dry mouth compared to those not on medications. The results could be informative to medical professionals who prescribe SNRIs and who are not currently aware of the effect they have on salivary production and therefore quality of life, as well as the dental practitioners treating these patients with dry mouth sequalae. (Quintessence Int 2023;54:150-154; doi: 10.3290/j.qi.b3704403).