Background: Skin rejuvenation has become an increasingly popular noninvasive approach to address age-related changes such as sagging, wrinkles, and skin laxity. Energy-based devices (EBDs) and injectables are widely used, but their application requires careful customization based on individual patient characteristics to optimize outcomes and minimize potential adverse effects. Objective: This study aimed to explore clinical practice patterns among board-certified dermatologists in South Korea, focusing on their strategies for tailoring skin rejuvenation treatments to individual patients, including the integration of EBDs, injectables, and senotherapeutics. Methods: A structured survey comprising 10 questions was administered to 13 experienced dermatologists specializing in skin rejuvenation. The survey covered treatment strategies for patients with varying facial fat volumes, pain management approaches, and the use of EBDs, injectables and senotherapeutics. Results: High-intensity focused ultrasound (HIFU) and radiofrequency (RF) were the most employed EBDs, often combined with injectables for enhanced outcomes. For patients with higher facial fat, HIFU and deoxycholic acid injections were preferred for contouring and tightening. For those with lower facial fat, biostimulatory agents such as poly-D, L-lactic acid and microneedle RF were favored to restore volume and elasticity. Pain management strategies included topical anesthetics and stepwise protocols. Although less commonly used, senotherapeutics were occasionally prescribed for specific conditions, such as melasma and extensive photoaging. Conclusion Dermatologists in South Korea employ a variety of patient-specific strategies for skin rejuvenation, combining various EBDs, injectables, and senotherapeutics. These findings highlight the importance of personalized treatment protocols and the need for further research to optimize treatment efficacy and safety.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.

Purpose: By utilizing both protein and mRNA expression patterns, we can identify more detailed and diverse immune cells, providing insights into understanding the complex immune landscape in cancer ecosystems. Materials and Methods: This study was performed by obtaining publicly available Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data of peripheral blood mononuclear cells (PBMCs) from the Gene Expression Omnibus database. A total of 94674 total cells were analyzed, of which 32412 were T cells. There were 228 protein features and 16262 mRNA features in the data.The Seurat package was used for quality control and preprocessing, principal component analysis was performed, and Uniform Manifold Approximation and Projection was used to visualize the clusters. Protein and mRNA levels in the CITE-seq were analyzed. Results: We observed that a subset of T cells in the clusters generated at the protein level divided better. By identifying mRNA markers that were highly correlated with the CD4 and CD8 proteins and cross-validating CD26 and CD99 markers using flow cytometry, we found that CD4 + and CD8+ T cells were better discriminated in PBMCs. Weighted Nearest Neighbor clustering results identified a previously unobserved T cell subset. Conclusion In this study, we used CITE-seq data to confirm that protein expression patterns could be used to identify cells more precisely. These findings will improve our understanding of the heterogeneity of immune cells in the future and provide valuable insights into the complexity of the immune response in health and disease.

Background: We aimed to identify the risk of incident depression according to cumulative exposure to a low-household income status in individuals with type 2 diabetes mellitus (T2DM). Methods: For this retrospective longitudinal population-based cohort study, we used Korean National Health Insurance Service data from 2002 to 2018. Risk of depression was assessed according to cumulative exposure to low-household income status (defined as Medical Aid registration) during the previous 5 years among adults (aged ≥20 years) with T2DM and without baseline depression who underwent health examinations from 2009 to 2012 (n=2,027,317). Results: During an average 6.23 years of follow-up, 401,175 incident depression cases occurred. Advance in cumulative number of years registered for medical aid during the previous 5 years from baseline was associated with an increased risk of depression in a dose-dependent manner (hazard ratio [HR], 1.44 [95% confidence interval (CI), 1.38 to 1.50]; HR, 1.40 [95% CI, 1.35 to 1.46]; HR, 1.42, [95% CI, 1.37 to 1.48]; HR, 1.46, [95% CI, 1.40 to 1.53]; HR, 1.69, [95% CI, 1.63 to 1.74] in groups with 1 to 5 exposed years, respectively). Insulin users exposed for 5 years to a low-household income state had the highest risk of depression among groups categorized by insulin use and duration of low-household income status. Conclusion Cumulative duration of low-household income status, defined as medical aid registration, was associated with an increased risk of depression in a dose-response manner in individuals with T2DM.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.

This study was designed to compare diagnostic categories of thyroid fine needle aspiration cytology (FNAC) and incidence of thyroid tumors in the multi-institutional Asian series with a special focus on diagnostic category IV (suspicious for a follicular neoplasm) and follicular thyroid carcinomas (FTCs). Methods: Distribution of FNAC categories, incidence of thyroid tumors in resection specimens and cytologic diagnoses of surgically confirmed follicular adenomas (FAs) and FTCs were collected from 10 institutes from five Asian countries and were compared among countries and between FAs and FTCs. Results: The frequency of category IV diagnoses (3.0%) in preoperative FNAC were significantly lower compared to those in Western countries (10.1%). When comparing diagnostic categories among Asian countries, category IV was more frequent in Japan (4.6%) and India (7.9%) than in Taiwan (1.4%), Korea (1.4%), and China (3.6%). Similarly, incidence of FAs and FTCs in surgical resection specimens was significantly higher in Japan (10.9%) and India (10.1%) than in Taiwan (5.5%), Korea (3.0%), and China (2.5%). FTCs were more commonly diagnosed as category IV in Japan (77.5%) than in Korea (33.3%) and China (35.0%). Nuclear pleomorphism, nuclear crowding, microfollicular pattern, and dyshesive cell pattern were more common in FTCs compared with FAs. Conclusions: Our study highlighted the difference in FNAC diagnostic categories of FTCs among Asian countries, which is likely related to different reporting systems and thyroid cancer incidence. Cytologic features such as nuclear pleomorphism, nuclear crowding, microfollicular pattern, and dyshesive cell pattern were found to be useful in diagnosing FTCs more effectively.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.

Background: Extracorporeal membrane oxygenation (ECMO) is the only treatment option that can stabilize patients with congenital diaphragmatic hernia (CDH) with severe pulmonary hypertension. This study assessed the effects of a multidisciplinary ECMO team approach (META) as part of a quality improvement initiative aimed at enhancing the survival rates of neonates with CDH. Methods: The medical records of infants with CDH treated at a tertiary center were retrospectively reviewed. Patients were categorized into two groups based on META implementation. The META group (P2) were given key interventions, including on-site ECMO management within the neonatal intensive care unit (NICU), use of venoarterial modality, ECMO indication as a priority even before the use of inhaled nitric oxide, and preplanned surgery following ECMO discontinuation. These approaches were compared with standard protocols in the pre-META group (P1) to assess their effects on clinical outcomes, particularly in-hospital mortality. Results: Over a 16-year period, 322 patients were included. P2 had a significantly higher incidence of non-isolated CDH and higher rate of cesarean section compared with P1.Moreover, P2 had delayed time to surgical repair (9.4 ± 8.0 days) compared with P1 (6.7 ± 7.3 days) (P = 0.004). The overall survival rate at NICU discharge was 72.7%, with a significant improvement from P1 (66.3%, 132/199) to P2 (82.9%, 102/123) (P = 0.001). Among the 68 patients who received ECMO, P2 had significantly lower baseline oxygenation index and serum lactate levels before ECMO cannulation than P1. The survival rate of patients who received ECMO also remarkably improved from P1 (21.1%, 8/38) to P2 (56.7%, 17/30).Subgroups who could be weaned from ECMO before 2 weeks after cannulation showed the best survival rate. Conclusion META significantly improved the survival rate of newborn infants with CDH.Further interventions, including prenatal intervention and novel ECMO strategies, may help improve the clinical outcomes and quality of life.

Background: Extracorporeal membrane oxygenation (ECMO) is the only treatment option that can stabilize patients with congenital diaphragmatic hernia (CDH) with severe pulmonary hypertension. This study assessed the effects of a multidisciplinary ECMO team approach (META) as part of a quality improvement initiative aimed at enhancing the survival rates of neonates with CDH. Methods: The medical records of infants with CDH treated at a tertiary center were retrospectively reviewed. Patients were categorized into two groups based on META implementation. The META group (P2) were given key interventions, including on-site ECMO management within the neonatal intensive care unit (NICU), use of venoarterial modality, ECMO indication as a priority even before the use of inhaled nitric oxide, and preplanned surgery following ECMO discontinuation. These approaches were compared with standard protocols in the pre-META group (P1) to assess their effects on clinical outcomes, particularly in-hospital mortality. Results: Over a 16-year period, 322 patients were included. P2 had a significantly higher incidence of non-isolated CDH and higher rate of cesarean section compared with P1.Moreover, P2 had delayed time to surgical repair (9.4 ± 8.0 days) compared with P1 (6.7 ± 7.3 days) (P = 0.004). The overall survival rate at NICU discharge was 72.7%, with a significant improvement from P1 (66.3%, 132/199) to P2 (82.9%, 102/123) (P = 0.001). Among the 68 patients who received ECMO, P2 had significantly lower baseline oxygenation index and serum lactate levels before ECMO cannulation than P1. The survival rate of patients who received ECMO also remarkably improved from P1 (21.1%, 8/38) to P2 (56.7%, 17/30).Subgroups who could be weaned from ECMO before 2 weeks after cannulation showed the best survival rate. Conclusion META significantly improved the survival rate of newborn infants with CDH.Further interventions, including prenatal intervention and novel ECMO strategies, may help improve the clinical outcomes and quality of life.

Background: Extracorporeal membrane oxygenation (ECMO) is the only treatment option that can stabilize patients with congenital diaphragmatic hernia (CDH) with severe pulmonary hypertension. This study assessed the effects of a multidisciplinary ECMO team approach (META) as part of a quality improvement initiative aimed at enhancing the survival rates of neonates with CDH. Methods: The medical records of infants with CDH treated at a tertiary center were retrospectively reviewed. Patients were categorized into two groups based on META implementation. The META group (P2) were given key interventions, including on-site ECMO management within the neonatal intensive care unit (NICU), use of venoarterial modality, ECMO indication as a priority even before the use of inhaled nitric oxide, and preplanned surgery following ECMO discontinuation. These approaches were compared with standard protocols in the pre-META group (P1) to assess their effects on clinical outcomes, particularly in-hospital mortality. Results: Over a 16-year period, 322 patients were included. P2 had a significantly higher incidence of non-isolated CDH and higher rate of cesarean section compared with P1.Moreover, P2 had delayed time to surgical repair (9.4 ± 8.0 days) compared with P1 (6.7 ± 7.3 days) (P = 0.004). The overall survival rate at NICU discharge was 72.7%, with a significant improvement from P1 (66.3%, 132/199) to P2 (82.9%, 102/123) (P = 0.001). Among the 68 patients who received ECMO, P2 had significantly lower baseline oxygenation index and serum lactate levels before ECMO cannulation than P1. The survival rate of patients who received ECMO also remarkably improved from P1 (21.1%, 8/38) to P2 (56.7%, 17/30).Subgroups who could be weaned from ECMO before 2 weeks after cannulation showed the best survival rate. Conclusion META significantly improved the survival rate of newborn infants with CDH.Further interventions, including prenatal intervention and novel ECMO strategies, may help improve the clinical outcomes and quality of life.