Obesity has been known to negatively modulate the life-span and immunosuppressive potential of mesenchymal stromal cells (MSC). However, it remains unclear what drives the compromised potency of obese MSC. In this study, we examined the involvement of adiponectin, an adipose tissue-derived hormone, in obesity-induced impaired therapeutic function of MSC. Diet-induced obesity leads to a decrease in serum adiponectin, accompanied by impairment of survival and immunomodulatory effects of adipose-derived MSC (ADSC). Interestingly, priming with globular adiponectin (gAcrp) improved the immunomodulatory potential of obese ADSC. Similar effects were also observed in lean ADSC. In addition, gAcrp potentiated the therapeutic effectiveness of ADSC in a mouse model of DSS-induced colitis. Mechanistically, while obesity inhibited the glycolytic capacity of MSC, gAcrp treatment induced a metabolic shift toward glycolysis through activation of adiponectin receptor type 1/p38 MAPK/hypoxia inducible factor-1α axis. These findings suggest that activation of adiponectin signaling is a promising strategy for enhancing the therapeutic efficacy of MSC against immune-mediated disorders.

Background: Atherogenic dyslipidemia, which is frequently associated with type 2 diabetes (T2D) and insulin resistance, contributes to the development of vascular complications. Statin therapy is the primary approach to dyslipidemia management in T2D, however, the role of non-statin therapy remains unclear. Ezetimibe reduces cholesterol burden by inhibiting intestinal cholesterol absorption. Fibrates lower triglyceride levels and increase high-density lipoprotein cholesterol (HDL-C) levels via peroxisome proliferator- activated receptor alpha agonism. Therefore, when combined, these drugs effectively lower non-HDL-C levels. Despite this, few clinical trials have specifically targeted non-HDL-C, and the efficacy of triple combination therapies, including statins, ezetimibe, and fibrates, has yet to be determined. Methods: This is a multicenter, prospective, randomized, open-label, active-comparator controlled trial involving 3,958 eligible participants with T2D, cardiovascular risk factors, and elevated non-HDL-C (≥100 mg/dL). Participants, already on moderate-intensity statins, will be randomly assigned to either Ezefeno (ezetimibe/fenofibrate) addition or statin dose-escalation. The primary end point is the development of a composite of major adverse cardiovascular and diabetic microvascular events over 48 months. Conclusion This trial aims to assess whether combining statins, ezetimibe, and fenofibrate is as effective as, or possibly superior to, statin monotherapy intensification in lowering cardiovascular and microvascular disease risk for patients with T2D. This could propose a novel therapeutic approach for managing dyslipidemia in T2D.

Psoriasis is a common chronic inflammatory disease in which keratinocytes proliferate abnormally due to excessive immune action. Psoriasis can be associated with various comorbidities and has a significant impact on health-related quality of life. Although many systemic treatments, including biologic agents, have been developed, topical treatment remains the main option for psoriasis management. Consequently, there is an urgent need to develop topical treatments with minimal side effects and high efficacy. Mesenchymal stem cells (MSCs) exhibit excellent immune regulation, anti-inflammatory activities, and therapeutic effects, and MSC-derived extracellular vesicles (EVs) can serve as crucial mediators of functional transfer from MSCs. Therefore, this study aimed to develop a safe and easy-to-use emulsion cream for treating psoriasis using MSC conditioned media (CM) containing EVs. We developed an enhanced Wharton’s jelly MSC (WJ-MSC) culture method through a three-dimensional (3D) culture containing exogenous transforming growth factor-β3. Using the 3D culture system, we obtained CM from WJ-MSCs, which yielded a higher EV production compared to that of conventional WJ-MSC culture methods, and investigated the effect of EV-enriched 3D-WJMSC-CM cream on psoriasis-related inflammation. Administration of the EV-enriched 3D-WJ-MSC-CM cream significantly reduced erythema, thickness, and scaling of skin lesions, alleviated imiquimod-induced psoriasiform lesions in mice, and ameliorated histopathological changes in mouse skin. The upregulated mRNA expression of inflammatory cytokines, including IL-17a, IL-22, IL-23, and IL-36, decreased in the lesions. In conclusion, we present here a new topical treatment for psoriasis using an MSC EV-enriched cream.

Purpose: Recently, deep learning techniques have been introduced for age estimation, with automated methods based on radiographic analysis demonstrating high accuracy. In this study, we applied convolutional neural network (CNN) techniques to the lower dentition area on orthopantomograms (OPGs) of children to develop an automated age estimation model and evaluate its accuracy for use in forensic dentistry. Methods: In this study, OPGs of 2,856 subjects aged 3-14 years were analyzed. The You Only Look Once (YOLO) V8 object detection technique was applied to extract the mandibular dentition area on OPGs, designating it as the region of interest (ROI). First, 200 radiographs were randomly selected, and were used to train a model for extracting the ROI. The trained model was then applied to the entire dataset. For the CNN image classification task, 80% of OPGs were allocated to the training set, while the remaining 20% were used as the test set. A transfer learning approach was employed using the ResNet50 and VGG19 backbone models, with an ensemble technique combining these models to improve performance. The mean absolute error (MAE) on the test set was used as the validation metric, and the model with the lowest MAE was selected. Results: In this study, the age estimation model developed using mandibular dentition region from OPGs achieved MAE and root mean squared error (RMSE) values of 0.501 and 0.742, respectively, on the test set, and MAE and RMSE values of 0.273 and 0.354, respectively, on the training set. Conclusions The automated age estimation model developed in this study demonstrated accuracy comparable to that of previous research and shows potential for applications in forensic investigations. Increasing the sample size and incorporating diverse deep learning techniques are expected to further enhance the accuracy of future age estimation models.

Background: This study aimed to investigate the effects of applying the hot spring water exercise for 8 weeks to middle-aged females with knee osteoarthritis. Methods: To investigate this, body composition, isokinetic muscle function, and the knee flexion angle K-WOMAC were evaluated before and after the 8-week hot spring water exercise program and analyzed using a mixed-design two-way ANOVA. After analysis, if a significant difference was observed, the Bonferroni method was used as a post hoc method, and the following results were obtained. Results: First, among the body composition parameters, the body fat percentage showed a statistically significant reduction after the 8-week hot spring water exercise program in the exercise group (EG) (p = .031).However, there was no significant difference in body weight, muscle mass, body fat mass, and body mass index. Among the isokinetic muscle functions, the peak torque (p = .003, p = .001) and total work (p = .003, p = .003) of the flexion and extension movements, and the average power (p = .007) of the flexion movement significantly increased in the EG, while the average power of the extension movement did not change. The range of joint motion significantly increased after the exercise. The K-WOMAC index significantly decreased after the exercise. Conclusion Thus, the 8-week aquatic exercise program utilizing hot springs improved knee extension and flexion muscle strength. Hence, it is believed that it can be used as an interventional therapy for low back pain in the elderly and for obese people who have difficulty with land-based exercises.

Psoriasis is a common chronic inflammatory disease in which keratinocytes proliferate abnormally due to excessive immune action. Psoriasis can be associated with various comorbidities and has a significant impact on health-related quality of life. Although many systemic treatments, including biologic agents, have been developed, topical treatment remains the main option for psoriasis management. Consequently, there is an urgent need to develop topical treatments with minimal side effects and high efficacy. Mesenchymal stem cells (MSCs) exhibit excellent immune regulation, anti-inflammatory activities, and therapeutic effects, and MSC-derived extracellular vesicles (EVs) can serve as crucial mediators of functional transfer from MSCs. Therefore, this study aimed to develop a safe and easy-to-use emulsion cream for treating psoriasis using MSC conditioned media (CM) containing EVs. We developed an enhanced Wharton’s jelly MSC (WJ-MSC) culture method through a three-dimensional (3D) culture containing exogenous transforming growth factor-β3. Using the 3D culture system, we obtained CM from WJ-MSCs, which yielded a higher EV production compared to that of conventional WJ-MSC culture methods, and investigated the effect of EV-enriched 3D-WJMSC-CM cream on psoriasis-related inflammation. Administration of the EV-enriched 3D-WJ-MSC-CM cream significantly reduced erythema, thickness, and scaling of skin lesions, alleviated imiquimod-induced psoriasiform lesions in mice, and ameliorated histopathological changes in mouse skin. The upregulated mRNA expression of inflammatory cytokines, including IL-17a, IL-22, IL-23, and IL-36, decreased in the lesions. In conclusion, we present here a new topical treatment for psoriasis using an MSC EV-enriched cream.

Psoriasis is a common chronic inflammatory disease in which keratinocytes proliferate abnormally due to excessive immune action. Psoriasis can be associated with various comorbidities and has a significant impact on health-related quality of life. Although many systemic treatments, including biologic agents, have been developed, topical treatment remains the main option for psoriasis management. Consequently, there is an urgent need to develop topical treatments with minimal side effects and high efficacy. Mesenchymal stem cells (MSCs) exhibit excellent immune regulation, anti-inflammatory activities, and therapeutic effects, and MSC-derived extracellular vesicles (EVs) can serve as crucial mediators of functional transfer from MSCs. Therefore, this study aimed to develop a safe and easy-to-use emulsion cream for treating psoriasis using MSC conditioned media (CM) containing EVs. We developed an enhanced Wharton’s jelly MSC (WJ-MSC) culture method through a three-dimensional (3D) culture containing exogenous transforming growth factor-β3. Using the 3D culture system, we obtained CM from WJ-MSCs, which yielded a higher EV production compared to that of conventional WJ-MSC culture methods, and investigated the effect of EV-enriched 3D-WJMSC-CM cream on psoriasis-related inflammation. Administration of the EV-enriched 3D-WJ-MSC-CM cream significantly reduced erythema, thickness, and scaling of skin lesions, alleviated imiquimod-induced psoriasiform lesions in mice, and ameliorated histopathological changes in mouse skin. The upregulated mRNA expression of inflammatory cytokines, including IL-17a, IL-22, IL-23, and IL-36, decreased in the lesions. In conclusion, we present here a new topical treatment for psoriasis using an MSC EV-enriched cream.

Objective: This study was performed to evaluate the efficacy and safety of lurasidone (160 mg/day) compared to quetiapine XR (QXR; 600 mg/day) in the treatment of acutely psychotic patients with schizophrenia. Methods: Patients were randomly assigned to 6 weeks of double-blind treatment with lurasidone 160 mg/day (n=105) or QXR 600 mg/day (n=105). Primary efficacy measure was the change from baseline to week 6 in Positive and Negative Syndrome Scale (PANSS) total score and Clinical Global Impressions severity (CGI-S) score. Adverse events, body measurements, and laboratory parameters were assessed. Results: Lurasidone demonstrated non-inferiority to QXR on the PANSS total score. Adjusted mean±standard error change at week 6 on the PANSS total score was -26.42±2.02 and -27.33±2.01 in the lurasidone and QXR group, respectively. The mean difference score was -0.91 (95% confidence interval -6.35–4.53). The lurasidone group showed a greater reduction in PANSS total and negative subscale on week 1 and a greater reduction in end-point CGI-S score compared to the QXR group. Body weight, body mass index, and waist circumference in the lurasidone group were reduced, with significantly lower mean change compared to QXR. Endpoint changes in glucose, cholesterol, triglycerides, and low-density lipoprotein levels were also significantly lower. The most common adverse drug reactions with lurasidone were akathisia and nausea. Conclusion Lurasidone 160 mg/day was found to be non-inferior to QXR 600 mg/day in the treatment of schizophrenia with comparable efficacy and tolerability. Adverse effects of lurasidone were generally tolerable, and beneficial effects on metabolic parameters can be expected.

Cutaneous papillomas or acrochorda usually appear after the 4th decade of life in areas with skin folds. Conventional methods of removal are associated with bleeding problems, pain and prolonged sequelae. Thus, acrochorda removal with lasers has gained attention. In this study, we compared the efficacy of two popular laser types with different wavelengths and pulse widths for removal of skin tags. A 60-year-old Korean male noticed skin tags on his neck bilaterally. All tags were treated in a single session, on one side with a picosecond (ps)-domain 532 nm Nd:YAG laser and on the contralateral side with a long-pulsed (LP) 755 nm alexandrite laser. The endpoint for the ps-532 laser was immediate whitening, while that for the LP and quasi-LP (QLP) 755 lasers were visible changes on the surface of the lesion. Antibiotic ointment was applied, dressing was done and clinical photographs were taken. Both lasers effectively removed the skin tags at all settings in a single session without bleeding and with minimal discomfort. Crust formation occurred on both sides with natural shedding within 1 to 2 weeks. Transient erythema lasted longer in the tags treated with the ps-532 laser. At the 5th month of follow-up, residual lesions were detected on the field treated with the ps-532 laser. No persistent side effects such as scarring or postinflammatory hyperpigmentation (PIH) were observed. In conclusion, both the ps-532 nm Nd:YAG and the 755 nm alexandrite lasers ensured safe and effective removal of skin tags in a single session without adverse sequelae.

In children and adolescents, dental age estimation is performed with the development of the teeth. Various statistical analysis methods have been used to determine the relationship between age and dental maturity and develop an accurate method of age calculation. This study attempted to apply a neural network model for the statistical analysis of dental age estimation in children and evaluated its applicability. This study used 1196 panoramic radiographs of patients aged 3–16 years, and 996 and 200 were randomly classified into training and test sets, respectively. The dental maturity of the mandibular left teeth was evaluated using Demirjian's method, the neural network model using the backpropagation algorithm was derived using training sets, and the errors were evaluated using 100 radiographs of each male and female as test sets. In addition, multiple linear regression analysis was conducted on the same training set, and the error was calculated by applying it to the test set and comparing it with the error of the neural network model. In the neural network model, the mean absolute error (MAE) and root mean squared error (RMSE) were 0.589 and 0.783 in male subjects and 0.529 and 0.760 in female subjects, respectively. In the multiple linear regression model, the MAE and RMSE were 0.600 and 0.748 in male subjects and 0.566 and 0.789 in female subjects, respectively. When applying the neural network model to the statistical analysis of the dental developmental stage, the results were as accurate as those of conventional statistical analysis methods. This study’s approach is expected to be useful for estimating the ages of children.