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05).

When different surface preparation methods were evaluated together, no aging and 10,000 thermocycling groups displayed higher μTBS values (P < 0.05). When all aging periods were evaluated together, the surface preparation with air abrasion provided higher μTBS (P < 0.05). The interactions of various aging periods with different surface preparation methods revealed significant variations in repair μTBS (P < 0.05). There were statistically significant differences on failure mode distributions among surface preparation methods (P < 0.001). SEM evaluations provided valuable outcomes that help to comment on the μTBS findings.

Different surface preparation methods, various aging periods, and the interaction of both affected the repair μTBS of the tested nanohybrid composite resin.

Different surface preparation methods, various aging periods, and the interaction of both affected the repair μTBS of the tested nanohybrid composite resin.

The aim of this study was to assess the effect of intraarticular glucocorticoid injections on blood glucose levels in diabetes mellitus (DM) and non-DM patients with adhesive capsulitis of the shoulder and investigate the risk factors for hyperglycemia.

The study included 40 DM and 38 non-DM patients. The DM status, HbA1c levels, baseline fasting blood glucose (FBG) level, and post-injection 1-, 7-, 15-, and 21-day FBG levels were evaluated retrospectively.

The FBG levels were significantly higher 1 and 7 day after the glucocorticoid injection as compared with the baseline levels (P = 0.001 and <0.001, respectively). The increase was greatest in DM patients and then returned to baseline levels 15-day post-injection. In terms of the mean difference in post-injection and baseline FBG levels, the increase on day 1 was statistically significantly greater in the DM group as compared with that in the non-DM group (P = 0.01). Linear regression model showed that only the baseline FBG level predicted the glucose level 1-day post-treatment (β = 0.839, P < 0.01).

Intraarticular glucocorticoid injections can safely be administered as a treatment for adhesive capsulitis of the shoulder in patients with well-controlled DM. YM201636 PIKfyve inhibitor Baseline FBG levels may predict peak blood glucose levels in patients with well-controlled DM. We recommend that DM patients with adhesive capsulitis should undergo frequent monitoring of blood glucose in the 2 week following intraarticular glucocorticoid injection treatment.

Intraarticular glucocorticoid injections can safely be administered as a treatment for adhesive capsulitis of the shoulder in patients with well-controlled DM. Baseline FBG levels may predict peak blood glucose levels in patients with well-controlled DM. We recommend that DM patients with adhesive capsulitis should undergo frequent monitoring of blood glucose in the 2 week following intraarticular glucocorticoid injection treatment.

Diabetes and periodontitis are two chronic inflammatory diseases sharing specific etiopathogenetic mechanisms, and both cause severe inflammation and destruction.

The present study aimed to determine the receptor expressions of peroxisome proliferative-activated receptor (PPAR)-γ, retinoid X receptor (RXR)-α, vitamin D receptor (VDR), and nuclear factor kappa B (NF-κB) expressions in healthy gingiva and diseased gingival samples with or without diabetes.

Forty-five participants as (1) healthy controls (C), (2) periodontitis group (P), and (3) diabetes and periodontitis group (DP) were enrolled. Plaque index (PI), gingival index (GI), probing depth (PD), clinical attachment levels (CAL), and bleeding on probing (BOP) were recorded in all participants. Two gingival biopsies from each participant were obtained, and one underwent histological tissue processing while the other underwent qRT-PCR analysis of nuclear receptors. Inflammatory and fibroblast cell counts, PPAR-γ, RXR-α, VDR, and NF-κB were evaluated.

Fibroblast cells were lowest in the DP group and highest in the healthy group. PPAR-γ, VDR, RXR, and NF-κB expressions were higher in the healthy controls in the qRT-PCR analysis and similar in the other groups. Immunohistochemistry analysis also showed similar results.

qRT-PCR results concluded that healthy gingival samples had higher PPAR-γ, RXR, VDR, and NF-κB expressions, and immunohistochemistry findings supported the results. In addition, healthy gingiva contained higher fibroblast cells and lower inflammatory cells.

qRT-PCR results concluded that healthy gingival samples had higher PPAR-γ, RXR, VDR, and NF-κB expressions, and immunohistochemistry findings supported the results. In addition, healthy gingiva contained higher fibroblast cells and lower inflammatory cells.

To assess the emotional intelligence and identify the perceived sources of stress among female dental students and interns at King Khalid University College of Dentistry (KKUCOD), to investigate whether specific stressors were related to the year of study and gender, and to evaluate the relationship between emotional intelligence (EI) and perceived stress (PS).

Total of 150 female undergraduates from 5

and 6

years and dental interns were invited to complete a questionnaire using face-to-face interview. Data on EI was collected using a scale developed by Schutte et al. while a modified version of the Dental Environment Stress (DES) was applied to assess the stress perceived by dental students.

120 students agreed to join the study with a response rate of 84%. Mean EI score for the sample was 120 (SD = 11.56), and the mean PS score was 70.37 (SD = 16.19). One-way ANOVA revealed a significant difference between different age groups and the educational, environmental score (P < 0.05). Correlational ay reported higher EI and PS. The educational environmental score was found to be significantly different among different age groups. In contrary to most published literature, a direct association between EI and PS scores was found, except for the living accommodation factor. This might be attributed to the fact that the study was conducted 1 month prior to final exams. Living accommodation, personal factors, educational environment, academic work and clinical factors were identified as significant predictors of PS.