Inhibition of MMP8 effectively alleviates manic-like behavior and reduces neuroinflammation by modulating astrocytic CEBPD.

There is an intrinsic relationship between psychiatric disorders and neuroinflammation, including bipolar disorder. Ouabain, an inhibitor of Na+/K+-ATPase, has been implicated in the mouse model with manic-like behavior. However, the molecular mechanisms linking neuroinflammation and manic-like behavior require further investigation. CCAAT/Enhancer-Binding Protein Delta (CEBPD) is an inflammatory transcription factor that contributes to neurological disease progression. In this study, we demonstrated that the expression of CEBPD in astrocytes was increased in ouabain-treated mice. Furthermore, we observed an increase in the expression and transcript levels of CEBPD in human primary astrocytes following ouabain treatment. Transcriptome analysis revealed high MMP8 expression in human primary astrocytes following CEBPD overexpression and ouabain treatment. We confirmed that MMP8 is a CEBPD-regulated gene that mediates ouabain-induced neuroinflammation. In our animal model, treatment of ouabain-injected mice with M8I (an inhibitor of MMP8) resulted in the inhibition of manic-like behavior compared to ouabain-injected mice that were not treated with M8I. Additionally, the reduction in the activation of astrocytes and microglia was observed, particularly in the hippocampal CA1 region. Excessive reactive oxygen species formation was observed in ouabain-injected mice, and treating these mice with M8I resulted in the reduction of oxidative stress, as indicated by nitrotyrosine staining. These findings suggest that MMP8 inhibitors may serve as therapeutic agents in mitigating manic symptoms in bipolar disorder.

Evaluation of the Alveolar Crest and Cemento-Enamel Junction in Periodontitis Using Object Detection on Periapical Radiographs.

The severity of periodontitis can be analyzed by calculating the loss of alveolar crest (ALC) level and the level of bone loss between the tooth's bone and the cemento-enamel junction (CEJ). However, dentists need to manually mark symptoms on periapical radiographs (PAs) to assess bone loss, a process that is both time-consuming and prone to errors. This study proposes the following new method that contributes to the evaluation of disease and reduces errors. Firstly, innovative periodontitis image enhancement methods are employed to improve PA image quality. Subsequently, single teeth can be accurately extracted from PA images by object detection with a maximum accuracy of 97.01%. An instance segmentation developed in this study accurately extracts regions of interest, enabling the generation of masks for tooth bone and tooth crown with accuracies of 93.48% and 96.95%. Finally, a novel detection algorithm is proposed to automatically mark the CEJ and ALC of symptomatic teeth, facilitating faster accurate assessment of bone loss severity by dentists. The PA image database used in this study, with the IRB number 02002030B0 provided by Chang Gung Medical Center, Taiwan, significantly reduces the time required for dental diagnosis and enhances healthcare quality through the techniques developed in this research.

High-porosity hybrid bilayer-enabled portable LED plasmonic biosensing.

A TiO2-nanowire/Au-nanoparticle hybrid layer, possessing nanocavities and a plasmonic metasurface, can accomplish an entire visible region absorbance, inducing remarkable photocurrent-extraction efficiency. A blood-glucose strip-like testing protocol assembled using this layer allows nondestructive quantitative alpha-fetoprotein detection in human serum under homemade visible LED illumination, indicating its potential in commercial point-of-care testing applications.

Shared Decision-Making Model for Adolescent Smoking Cessation: Pilot Cohort Study.

The control of tobacco use in adolescents is a critical public health issue that has long been studied, yet has received less attention than adult smoking cessation. Shared decision making (SDM) is a method that highlights a patient's preference-based medical decision. This study aimed to investigate the effects of a novel SDM-integrated cessation model and early intervention on the control of tobacco use in adolescents. The SDM-integrated model provides psychological support and motivational enhancement by involving the participants in making decisions and plans through the three-talk model of the SDM principle. The primary outcome shows positive effects by both increasing the cessation rate (a 25% point abstinence rate at 3 month follow up) and decreasing the number of cigarettes smoked per day (60% of the participants at 3 month follow up) among 20 senior high school participants (mean age, 17.5 years; 95% male). The results also show that the model can achieve the goal of SDM and optimal informed decision making, based on the positive SURE test and the satisfaction survey regarding the cessation model. The SDM cessation model can be further applied to different fields of adolescent substance cessation, yielding beneficial effects regarding reducing potential health hazards. The dissemination of the model may help more adolescent smokers to cease smoking worldwide.