Objectives: This study aimed to evaluate the correlation between mast cell (MC) density in rosacea-affected skin and the expression of key inflammatory mediators, including IL-6, TNF-α, and cathelicidin LL-37. By comparing lesions rich in MCs with those having fewer MCs, we sought to elucidate the role of MCs in the inflammatory mechanisms underlying rosacea pathogenesis.

Methods: Specimens were collected from 20 patients diagnosed with rosacea who attended the outpatient clinic between 2008 and 2013. Each specimen underwent staining using hematoxylin/eosin, Giemsa, IL-6, LL-37, and TNF-α for both histopathological and immunohistochemical analyses. The number of stained cells was counted across 10 randomly selected dermal layers at a magnification of ×400 using light microscopy. The results were categorized based on the number of MCs counted: more than 10 MCs were classified as MC-rich, and 10 or fewer MCs as MC-poor.

Results: Among the 20 patients (10 MC-rich and 10 MC-poor), the MC-rich group demonstrated significantly higher MC counts than the MC-poor group (P<0.001). However, there were no significant differences in the expression levels of IL-6, LL-37, or TNF-α between the two groups. Additionally, MC density did not show any significant associations with patient demographics, clinical characteristics, or systemic comorbidities.

Conclusion: Increased MC density was not associated with differences in IL-6, TNF-α, or LL-37 expression in rosacea lesions. These findings suggest that MC infiltration may not directly influence the inflammatory mediator profile in rosacea. Further research is required to identify distinctive pathological features or markers that can elucidate the mechanisms of rosacea.

Objectives: This study aimed to evaluate the correlation between mast cell (MC) density in rosacea-affected skin and the expression of key inflammatory mediators, including IL-6, TNF-α, and cathelicidin LL-37. By comparing lesions rich in MCs with those having fewer MCs, we sought to elucidate the role of MCs in the inflammatory mechanisms underlying rosacea pathogenesis.

Methods: Specimens were collected from 20 patients diagnosed with rosacea who attended the outpatient clinic between 2008 and 2013. Each specimen underwent staining using hematoxylin/eosin, Giemsa, IL-6, LL-37, and TNF-α for both histopathological and immunohistochemical analyses. The number of stained cells was counted across 10 randomly selected dermal layers at a magnification of ×400 using light microscopy. The results were categorized based on the number of MCs counted: more than 10 MCs were classified as MC-rich, and 10 or fewer MCs as MC-poor.

Results: Among the 20 patients (10 MC-rich and 10 MC-poor), the MC-rich group demonstrated significantly higher MC counts than the MC-poor group (P<0.001). However, there were no significant differences in the expression levels of IL-6, LL-37, or TNF-α between the two groups. Additionally, MC density did not show any significant associations with patient demographics, clinical characteristics, or systemic comorbidities.

Conclusion: Increased MC density was not associated with differences in IL-6, TNF-α, or LL-37 expression in rosacea lesions. These findings suggest that MC infiltration may not directly influence the inflammatory mediator profile in rosacea. Further research is required to identify distinctive pathological features or markers that can elucidate the mechanisms of rosacea.

Objectives: This study aimed to evaluate the correlation between mast cell (MC) density in rosacea-affected skin and the expression of key inflammatory mediators, including IL-6, TNF-α, and cathelicidin LL-37. By comparing lesions rich in MCs with those having fewer MCs, we sought to elucidate the role of MCs in the inflammatory mechanisms underlying rosacea pathogenesis.

Methods: Specimens were collected from 20 patients diagnosed with rosacea who attended the outpatient clinic between 2008 and 2013. Each specimen underwent staining using hematoxylin/eosin, Giemsa, IL-6, LL-37, and TNF-α for both histopathological and immunohistochemical analyses. The number of stained cells was counted across 10 randomly selected dermal layers at a magnification of ×400 using light microscopy. The results were categorized based on the number of MCs counted: more than 10 MCs were classified as MC-rich, and 10 or fewer MCs as MC-poor.

Results: Among the 20 patients (10 MC-rich and 10 MC-poor), the MC-rich group demonstrated significantly higher MC counts than the MC-poor group (P<0.001). However, there were no significant differences in the expression levels of IL-6, LL-37, or TNF-α between the two groups. Additionally, MC density did not show any significant associations with patient demographics, clinical characteristics, or systemic comorbidities.

Conclusion: Increased MC density was not associated with differences in IL-6, TNF-α, or LL-37 expression in rosacea lesions. These findings suggest that MC infiltration may not directly influence the inflammatory mediator profile in rosacea. Further research is required to identify distinctive pathological features or markers that can elucidate the mechanisms of rosacea.

Objectives: This study aimed to evaluate the correlation between mast cell (MC) density in rosacea-affected skin and the expression of key inflammatory mediators, including IL-6, TNF-α, and cathelicidin LL-37. By comparing lesions rich in MCs with those having fewer MCs, we sought to elucidate the role of MCs in the inflammatory mechanisms underlying rosacea pathogenesis.

Methods: Specimens were collected from 20 patients diagnosed with rosacea who attended the outpatient clinic between 2008 and 2013. Each specimen underwent staining using hematoxylin/eosin, Giemsa, IL-6, LL-37, and TNF-α for both histopathological and immunohistochemical analyses. The number of stained cells was counted across 10 randomly selected dermal layers at a magnification of ×400 using light microscopy. The results were categorized based on the number of MCs counted: more than 10 MCs were classified as MC-rich, and 10 or fewer MCs as MC-poor.

Results: Among the 20 patients (10 MC-rich and 10 MC-poor), the MC-rich group demonstrated significantly higher MC counts than the MC-poor group (P<0.001). However, there were no significant differences in the expression levels of IL-6, LL-37, or TNF-α between the two groups. Additionally, MC density did not show any significant associations with patient demographics, clinical characteristics, or systemic comorbidities.

Conclusion: Increased MC density was not associated with differences in IL-6, TNF-α, or LL-37 expression in rosacea lesions. These findings suggest that MC infiltration may not directly influence the inflammatory mediator profile in rosacea. Further research is required to identify distinctive pathological features or markers that can elucidate the mechanisms of rosacea.

Objectives: This study aimed to evaluate the correlation between mast cell (MC) density in rosacea-affected skin and the expression of key inflammatory mediators, including IL-6, TNF-α, and cathelicidin LL-37. By comparing lesions rich in MCs with those having fewer MCs, we sought to elucidate the role of MCs in the inflammatory mechanisms underlying rosacea pathogenesis.

Methods: Specimens were collected from 20 patients diagnosed with rosacea who attended the outpatient clinic between 2008 and 2013. Each specimen underwent staining using hematoxylin/eosin, Giemsa, IL-6, LL-37, and TNF-α for both histopathological and immunohistochemical analyses. The number of stained cells was counted across 10 randomly selected dermal layers at a magnification of ×400 using light microscopy. The results were categorized based on the number of MCs counted: more than 10 MCs were classified as MC-rich, and 10 or fewer MCs as MC-poor.

Results: Among the 20 patients (10 MC-rich and 10 MC-poor), the MC-rich group demonstrated significantly higher MC counts than the MC-poor group (P<0.001). However, there were no significant differences in the expression levels of IL-6, LL-37, or TNF-α between the two groups. Additionally, MC density did not show any significant associations with patient demographics, clinical characteristics, or systemic comorbidities.

Conclusion: Increased MC density was not associated with differences in IL-6, TNF-α, or LL-37 expression in rosacea lesions. These findings suggest that MC infiltration may not directly influence the inflammatory mediator profile in rosacea. Further research is required to identify distinctive pathological features or markers that can elucidate the mechanisms of rosacea.

Hepatic dysregulation of lipid metabolism exacerbates inflammation and enhances the progression of metabolic dysfunction-associated steatotic liver disease (MASLD). STAT3 has been linked to lipid metabolism and inflammation. Jolkinolide B (JB), derived from Euphorbia fischeriana, is known for its pharmacological anti-inflammatory and anti-tumor properties. Therefore, this study investigated whether JB affects MASLD prevention by regulating STAT3 signaling. JB attenuated steatosis and inflammatory responses in palmitic acid (PA)-treated hepatocytes. Additionally, JB treatment reduced the mRNA expression of de-novo lipogenic genes, such as acetyl-CoA carboxylase and stearoyl-CoA desaturase 1. Interestingly, JB-mediated reduction in inflammation and lipogenesis was dependent on STAT3 signaling. JB consistently modulated mitochondrial dysfunction and the mRNA expression of inflammatory cytokines by inhibiting PA-induced JAK/STAT3 activation. This study suggests that JB is a potential therapeutic agent to prevent major stages of MASLD through inhibition of JAK/STAT3 signaling in hepatocytes.

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.

Hepatic dysregulation of lipid metabolism exacerbates inflammation and enhances the progression of metabolic dysfunction-associated steatotic liver disease (MASLD). STAT3 has been linked to lipid metabolism and inflammation. Jolkinolide B (JB), derived from Euphorbia fischeriana, is known for its pharmacological anti-inflammatory and anti-tumor properties. Therefore, this study investigated whether JB affects MASLD prevention by regulating STAT3 signaling. JB attenuated steatosis and inflammatory responses in palmitic acid (PA)-treated hepatocytes. Additionally, JB treatment reduced the mRNA expression of de-novo lipogenic genes, such as acetyl-CoA carboxylase and stearoyl-CoA desaturase 1. Interestingly, JB-mediated reduction in inflammation and lipogenesis was dependent on STAT3 signaling. JB consistently modulated mitochondrial dysfunction and the mRNA expression of inflammatory cytokines by inhibiting PA-induced JAK/STAT3 activation. This study suggests that JB is a potential therapeutic agent to prevent major stages of MASLD through inhibition of JAK/STAT3 signaling in hepatocytes.

Hepatic dysregulation of lipid metabolism exacerbates inflammation and enhances the progression of metabolic dysfunction-associated steatotic liver disease (MASLD). STAT3 has been linked to lipid metabolism and inflammation. Jolkinolide B (JB), derived from Euphorbia fischeriana, is known for its pharmacological anti-inflammatory and anti-tumor properties. Therefore, this study investigated whether JB affects MASLD prevention by regulating STAT3 signaling. JB attenuated steatosis and inflammatory responses in palmitic acid (PA)-treated hepatocytes. Additionally, JB treatment reduced the mRNA expression of de-novo lipogenic genes, such as acetyl-CoA carboxylase and stearoyl-CoA desaturase 1. Interestingly, JB-mediated reduction in inflammation and lipogenesis was dependent on STAT3 signaling. JB consistently modulated mitochondrial dysfunction and the mRNA expression of inflammatory cytokines by inhibiting PA-induced JAK/STAT3 activation. This study suggests that JB is a potential therapeutic agent to prevent major stages of MASLD through inhibition of JAK/STAT3 signaling in hepatocytes.

Purpose: This study investigated the anti-obesity effects of a combination of Syzygium aromaticum L. and Sorbus commixta Hedl. (SS) in vitro and in vivo. Methods: The extracts of Syzygium aromaticum extract (SA) and Sorbus commixta extract (SC) were prepared individually using distilled water. They were mixed in a 1:2 ratio for use in the experiment. To assess the anti-obesity potential of SS in vitro, we examined cell proliferation, cellular triglyceride (TG), and total cholesterol (TC) levels, as well as lipogenesis and β-oxidation in 3T3-L1 cells. To confirm its anti-obesity potential in vivo, C57BL/6J mice were fed a 60% high-fat diet (HFD) to induce obesity. SA alone, SC alone, and their combination compound, SS (at a dosage of 200 mg/kg) were orally administered for 6 weeks. Thereafter, to conduct a comparative evaluation, serum analysis, western blotting of liver tissues, and histopathological analysis were performed. Results: Both SS200 and SS400 significantly inhibited the cellular TG and TC contents in the 3T3-L1 cells. Furthermore, treatment of the cells with SS (at a dose 200 and 400 μg/mL) also led to a noticeable regulation of key lipogenic and β-oxidation factors. Treatment of obese mice with SS resulted in a greater reduction in serum leptin and TG levels compared to treatment with the individual compounds (SA and SC). Furthermore, activation of AMPactivated protein kinase α by SS treatment resulted in the suppression of sterol regulatory element-binding proteins (SREBP)-1, leading to the inhibition of acetyl-CoA carboxylase (ACC) expression. Conclusion Our results suggest that SS may have the potential to prevent obesity through a reduction in the TG and TC levels and regulation of lipogenesis and β-oxidation.