BACKGROUND: Exogenous Cushing’s syndrome, which results from prolonged glucocorticoid treatment, is associated with metabolic abnormalities. Previously, we reported the inhibitory effect of tonsil-derived mesenchymal stem cell conditioned medium (T-MSC CM) on glucocorticoid signal transduction. In this study, we investigated the therapeutic efficacy of T-MSCs in a mouse model of exogenous Cushing’s syndrome. METHODS: Exogenous Cushing’s syndrome model mice was generated by corticosterone administration in the drinking water for 5 weeks, and T-MSCs were injected intraperitoneally twice during the third week. Serum lipid profiles were measured using a chemistry analyzer. HepG2 cells were treated with dexamethasone and co-cultured with T-MSCs.Expression levels of genes involved in cholesterol metabolism were examined using real-time PCR. Low-density lipoprotein receptor (LDLR) protein levels were determined using western blotting and immunohistochemistry. Liver RNA extracted from the CORT and CORT ? MSC mouse groups was used for transcriptome sequencing analysis and protein– protein interaction analysis. RESULTS: Weight reduction and improvements in dyslipidemia by T-MSC administration were observed only in female mice. T-MSCs reduce circulating LDL cholesterol levels by downregulating liver X receptor a (LXRa) and inducible degrader of LDLR (IDOL) expression, thereby stabilizing LDLRs in the liver. Transcriptome analysis of liver tissue revealed pathways that are regulated by T-MSCs administration. CONCLUSION Administration of MSCs to female mice receiving chronic corticosterone treatment reduced the circulating LDL cholesterol level by downregulating the LXRa–IDOL axis in hepatocytes. These results suggest that T-MSCs may offer a novel therapeutic strategy for managing exogenous Cushing’s syndrome by regulating cholesterol metabolism.

Background: Traditionally, dental implants require a healing period of 4 to 9 months for osseointegration, with longer recovery times considered when bone grafting is needed. This retrospective study evaluates the clinical efficacy of demineralized dentin matrix (DDM) combined with recombinant human bone morphogenetic protein-2 (rhBMP-2) during dental implant placement to expedite the osseointegration period for early loading. Methods: Thirty patients (17 male, 13 female; mean age 55.0 ± 8.8 years) requiring bone grafts due to implant fixture exposure (more than four threads; ≥ 3.2 mm) were included, with a total of 96 implants placed. Implants were inserted using a two-stage protocol with DDM/rhBMP-2 grafts. Early loading was initiated at two months postoperatively in the mandible and three months in the maxilla. Clinical outcomes evaluated included primary and secondary stability (implant stability quotient values), healing period, bone width, and marginal bone level assessed via cone-beam computed tomography. Results: All implants successfully supported final prosthetics with a torque of 50Ncm, without any osseointegration failures. The average healing period was 69.6 days in the mandible and 90.5 days in the maxilla, with significantly higher secondary stability in the mandible (80.7 ± 6.7) compared to the maxilla (73.0 ± 9.2, p < 0.001). Histological analysis confirmed new bone formation and vascularization. Conclusion DDM/rhBMP-2 grafting appears to significantly reduce the healing period, enabling early loading with stable and favorable clinical outcomes.

Purpose: To develop a machine learning (ML) classifier for predicting post-induction hypotension (PIH) in non-cardiac surgeries. Materials and Methods: Preoperative data and early vital signs were obtained from 3669 cases in the VitalDB database, an opensource registry. PIH was defined as sustained mean arterial pressure (MAP) <65 mm Hg within 20 minutes since induction or from induction to incision. Six different ML algorithms were used to create binary classifiers to predict PIH. The primary outcome was the area under the receiver operating characteristic curve (AUROC) of ML classifiers. Results: A total of 2321 (63.3%) cases exhibited PIH. Among ML classifiers, the random forest regressor and extremely gradient boosting regressor showed the highest AUROC, both recording a value of 0.772. Excluding these models, the light gradient boosting machine regressor showed the second highest AUROC [0.769; 95% confidence interval (CI), 0.767–0.771], followed by the gradient boosting regressor (0.768; 95% CI, 0.763–0.772), AdaBoost regressor (0.752; 95% CI, 0.743–0.761), and automatic relevance determination regression (0.685; 95% CI, 0.669–0.701). The top three important features were mean diastolic blood pressure (DBP), minimum MAP, and minimum DBP from anesthetic induction to tracheal intubation, and these features were lower in cases with PIH (all p<0.001). Conclusion ML classifiers exhibited moderate performance in predicting PIH, and have the potential for real-time prediction.

Hepatocellular carcinoma (HCC) presents unique challenges in both the elderly and adolescent/young adult (AYA) populations, requiring distinct management approaches. Recent epidemiological data show an increasing incidence of HCC in both age groups, with elderly cases rising significantly and AYA cases showing trends in specific regions. The clinical characteristics and treatment considerations vary substantially among these populations. Elderly patients with HCC typically present with hepatitis C virus infection, metabolic dysfunction-associated steatotic liver disease, well-differentiated tumors, and multiple comorbidities. In contrast, AYA patients with HCC often present with more aggressive tumor characteristics and predominantly with hepatitis B virus-related diseases. Treatment decisions for elderly patients with HCC require careful consideration of physiological reserves, comprehensive geriatric assessments, and potential complications. Recent studies have demonstrated that elderly patients can achieve outcomes comparable to younger patients across various treatment modalities when properly selected. While surgical outcomes are comparable to those of younger patients with proper selection, less-invasive options such as radiofrequency ablation or transarterial therapies may be more appropriate for some elderly patients. The treatment approach for AYA HCC emphasizes curative intent while considering long-term effects. AYA patients require specialized attention to their psychosocial needs, fertility preservation, and long-term health maintenance. Although data on AYA patients remain limited, they are known to have relatively favorable prognoses despite exhibiting more aggressive tumor characteristics. Management of HCC in both the elderly and AYA populations requires individualized approaches that consider age-specific factors. Both groups benefit from multidisciplinary team involvement and careful consideration of quality of life.

Objective: This study aims to objectively evaluate turning gait parameters in Parkinson’s disease (PD) patients using 2D-RGB video-based analysis and explore their relationships with imbalance. Methods: We prospectively enrolled PD patients for clinical assessment, balance analysis and gait with 180º turning. Spatiotemporal gait parameters during turning were derived using video-based analysis and correlated with modified Hoehn and Yahr (mHY) stages and center of pressure (COP) oscillations. Results: A total of 64 PD patients were enrolled. The PD patients with higher mHY stages (≥2.5) had significantly longer turning times, greater numbers of steps, wider step bases and less variability in step length during turns. COP oscillations were positively correlated with the mean turning time on both the anterior-posterior and right-left axes. Conclusion Spatiotemporal gait parameter during turning, derived from video-based gait analysis, may represent apromising biomarker for monitoring postural instability in PD patients.

Purpose: Skeletal muscle atrophy, characterized by a reduction in muscle mass and size, is known to be associated with inflammation and oxidative stress. This study aimed to examine the effect of blackcurrant extract on tumor necrosis factor-alpha (TNF)-α-induced myotube atrophy. Methods: C2C12 myotubes were treated with blackcurrant extract and cultured with TNF-α for 24 hours. The myotubes were stained using May-Grunwald Giemsa staining to measure the myotube diameter. In addition, reactive oxygen species (ROS) levels were assessed.The mRNA expression of inflammation-related markers such as interleukin (IL)-6, IL-1β, cyclooxygenase-2 (COX-2), inducible NO synthase (iNOS), as well as mitochondria dynamicsrelated markers, including mitochondrial fission protein 1 (Fis1), optic atrophy 1 (Opa1) were measured by quantitative real-time polymerase chain reaction. The expression of muscle protein degradation markers, including muscle ring finger protein 1 (MuRF-1), atrogin-1, and forkhead box protein O3 (FoXO3), as well as mitochondrial biogenesis markers such as silent information regulator T1 (Sirt1) and peroxisome proliferator-activated receptor gamma coactivator-1 alpha (PGC-1α), were assessed by western blot analysis. Results: Treatment with blackcurrant extract increased the myotube diameter, which was decreased in TNF-α-induced myotube atrophy. Treatment with TNF-α increased ROS levels and the expression of MuRF-1 and atrogin-1, and these increases were significantly inhibited by treatment with the blackcurrant extract. In contrast, the phosphorylation of FoXO3 was increased by the blackcurrant extract. Furthermore, the blackcurrant extract treatment decreased the mRNA expression of IL-6, IL-1β, COX-2, and iNOS elevated by TNF-α treatment. Additionally, blackcurrant extract treatment suppressed the expression of Fis1, while increasing the expression of Opa1, Sirt1, and PGC-1α. Conclusion These results suggest that blackcurrant extract reduces TNF-α-induced muscle protein degradation by the enhancement of mitochondrial biogenesis and mitochondrial dynamics. Thus, this study provides foundational data supporting the potential of blackcurrant extract as a functional ingredient for the prevention of muscle atrophy.

Purpose: The purpose of this study was to analyze the educational content of breast cancer nursing literature and to identify the educational needs of nurses in caring for breast cancer patients. Methods: This descriptive study was employed using a mixed method that applied both deductive and inductive approaches to analyze the educational content of literature and to evaluate the educational needs of nurses. Results: Breast cancer nursing literature was organized into 4 categories, 16 subcategories, and 39 contents, with the categories consisting of “Concept of Breast Cancer,” “Diagnosing Breast Cancer,” “Treatment of Breast Cancer,” and “Management of Breast Cancer Patients.” In addition, educational needs for nursing breast cancer patients were categorized into 5 categories, with 13 subcategories based on 146 main statements. The categories consisted of “Need to Provide Structured Training Opportunities,” “Preference for Media-Based Educational Methods,” “Education Reflecting Clinical Practice,” “Education for Strengthening Competence in Emotional Care,” and “Difficulty and Stress in Performing Nursing Skills.” The analysis results of educational needs showed that nurses desire to systematically and sufficiently receive practical and educational content through preferred educational methods. However, analysis of breast cancer nursing literature revealed a gap between the educational content provided and educational needs due to the lack of practice-oriented breast cancer nursing information and the latest opinions. Conclusion This study suggests the need to develop a practical and effective breast cancer nursing education program to enhance the breast cancer nursing competency of clinical nurses.

Connecting peptide (C-peptide), a byproduct of insulin biosynthesis, has diverse cellular and biological functions. Particulate mat-ter 2.5 (PM2.5 ) adversely affects human skin, leading to skin thickening, wrinkle formation, skin aging, and inflammation. This study aimed to investigate the protective effects of C-peptide against PM2.5 -induced damage to skin cells, focusing on oxidative stressas a key mechanism. C-peptide mitigated NADPH oxidation and intracellular reactive oxygen species (ROS) production inducedby PM2.5 . It also suppressed PM2.5 -induced NADPH oxidase (NOX) activity and alleviated PM2.5 -induced NOX1 and NOX4 expression. C-peptide protected against PM2.5 -induced DNA damage, lipid peroxidation, and protein carbonylation. Additionally, C-peptide mitigated PM2.5 -induced apoptosis by inhibiting intracellular ROS production. In summary, our findings suggest that C-peptide mitigates PM2.5 -induced apoptosis in human HaCaT keratinocytes by inhibiting intracellular ROS production and NOX activity.