“The effects of LED therapy at 940 nm on periodontal healing, inflammatory cell infiltration, and root resorption were analyzed in
an experimental model of orthodontic tooth movement in rats. Twenty-five male Wistar rats were allocated into four experimental groups: Control animals (Co, n = 5), Controls + LED therapy (CoLED, n = 6), animals submitted to orthodontic force (RR, n = 7) and submitted to orthodontic force + LED therapy (RRLED, n = 7). All procedures were approved by the Committee for Ethics in Animal Experimentation of the Universidade Estadual de Londrina (protocol CEEA 5/2010 37359). A force of 50 g was applied to the right upper molars of RR and RRLED groups. On days 2, Entinostat concentration 3, and 4 after
orthodontic treatment, the CoLED and RRLED groups received LED irradiation (940 nm, 4 J/cm(2)). The animals were killed on day 7 for histological analysis. An increased number of root resorption lacunae was found only in the RR group (p < 0.05). The RR group also presented more osteoclasts (p < 0.005) and inflammatory cell infiltration (p < 0.005) than the control group. The RRLED group presented fewer osteoclasts (p < 0.005) and inflammatory cells (p < 0.005) in the periodontal ligament than the RR group. The CoLED and RRLED groups presented more periodontal fibroblasts (p < 0.005) than non-irradiated groups. RRLED presented more blood vessels (p < 0.01) in the periodontal ligament than the RR group. In conclusion,
the results suggest that LED therapy improved periodontal selleck chemicals llc tissue repair and decreased inflammation and root resorption after the application of orthodontic force.”
“A change in the American Diabetes Association guidelines added hemoglobin A1c (HbA1c) to the assays for diabetes diagnosis, but evidence suggests that glucose vs. HbA1c criteria may identify different segments of the affected population. We previously demonstrated that oral findings offer an opportunity for the detection of undiagnosed abnormal fasting plasma glucose (FPG) among dental patients BTSA1 who present with diabetes risk factors. In this new cross-sectional study, we sought to extend these observations. The first goal, using data from 591 new participants, was to assess our previously identified hyperglycemia detection models when HbA1c is used for case definition. The second goal, using data from our total cohort of 1,097 participants, was to evaluate the models’ performance regardless of whether an FPG or an HbA1c is used for diagnosis. The presence of >= 26% teeth with deep pockets or >= 4 missing teeth correctly identified 72% of pre-diabetes or diabetes cases in the HbA1c sample and 75% in the total population. The addition of a point-of-care HbA1c >= 5.7% increased correct identification to 87% and 90%, respectively.