Purpose: Skeletal muscle, accounting for approximately 40% of the total body mass, plays a critical role in movement, postural support, and metabolic homeostasis. Muscle mass is determined by the balance between protein synthesis and degradation, which is closely regulated by the mitochondrial function. Mitochondrial dysfunctions contribute to muscle loss by promoting oxidative stress and cellular damage. This study examined the effects of masutakeside I, a lignan glycoside derived from Styrax japonicus, on the mitochondrial function and muscle differentiation in C2C12 myoblasts. Methods: C2C12 myoblasts differentiated into myotubes in the presence of masutakeside I (0–10 ng/mL). Myogenic differentiation was assessed by myosin heavy chain (MHC) immunofluorescence, and multinucleated myotubes and relative diameters were quantified.The mitochondrial function was evaluated by measuring the mitochondrial reactive oxygen species (ROS), mitochondrial mass, and mitochondrial membrane potential using MitoSOX, MitoTracker Green, and JC-1 staining, respectively. Gene expression related to muscle differentiation, protein degradation, and the mitochondrial life cycle was analyzed using quantitative reverse transcription polymerase chain reaction. Results: Masutakeside I significantly increased the number of multinucleated (≥ 5 nuclei) MHC-positive myotubes and relative myotube diameter compared to the control. In addition, masutakeside I upregulated the myogenic markers, including phosphoinositide 3-kinase and MHC isoforms (Myh2, Myh4, and Myh7), while significantly downregulating protein degradation–related genes, including mothers against decapentaplegic homolog 2/3, forkhead box protein O1, atrogin-1, and muscle RING finger-1. Masutakeside I modulated the mRNA expression of the mitochondrial function and mitophagy-related markers, suggesting its potential involvement in mitochondrial quality control. Consistent with these effects, the mitochondrial ROS levels decreased, whereas mitochondrial mass and membrane potential increased. Conclusion These findings suggest that masutakeside I modulates the markers related to myogenic differentiation, muscle protein degradation, and mitochondrial function.

Background: Baricitinib is one of the front-runners among targeted agents for the treatment of atopic dermatitis (AD). Although many studies have been conducted on the real-world use of baricitinib, the sample size is often small and data is focused primarily on Caucasians. Objective: The objective of this study was to demonstrate the real-world itch-relieving property of baricitinib in adult AD patients in South Korea. Methods: Electronic medical records of AD patients treated with baricitinib at the National Medical Center in Korea from May 2021 to April 2023 were analyzed retrospectively. Results: Seventy patients completed 16 to 52 weeks of baricitinib treatment, with most patients showing mild-to-moderate baseline lesions and moderate-to-severe baseline itch. At Week 16 of baricitinib treatment, there was a 50% reduction in Itch numerical rating scale from baseline, and 50.7% of patients showed 50% improvement in Eczema Area and Severity Index score.The efficacy of baricitinib was also reflected in the patient reported outcomes, with 55%–58% improvements in Patient-Oriented Eczema Measure, Atopic Dermatitis Control Tool, and Dermatology Life Quality Index scores seen within 2 weeks of treatment. No new safety signals were detected in this study. Conclusion Baricitinib treatment for 52 weeks in Korean patients with itch dominant AD confirmed long term effectiveness and safety.

Purpose: Neoadjuvant treatment (NAT) is now the standard for borderline resectable pancreatic cancer (RPC) and is being considered for RPC. Early recurrence after curative surgery in RPC is often seen as a treatment failure, prompting considerations for NAT. Our goal was to develop an artificial intelligence (AI)-based predictive model utilizing preoperatively available factors to forecast early recurrences of resected RPC. Methods: This study included 469 patients who underwent surgery for RPC between 2011 and 2019. Clinicopathologic and oncologic data were retrospectively reviewed. Preoperative variables, including laboratory data and imaging findings, were collected. Early recurrence was defined as recurrence occurring within a year after surgery. Deep neural networks were then used to select variables by assessing their importance. A new model predicting early recurrence of RPC was subsequently developed. Results: Of the patients evaluated, 199 (42.4%) experienced early recurrence. The predictive model included 14 preoperative variables: CA 19-9, preoperative pancreatitis, serum albumin, platelet count, lymphocyte count, the American Society of Anesthesiologists physical status classification, tumor size, monocyte count, age, body mass index, CRP, hemoglobin, WBC count, and CEA. The area under the curve for the model was 0.786 in the training set and 0.734 in the test set. Conclusion We developed an AI-based model to predict the early recurrence of RPC using preoperative parameters. By identifying patients at risk of early recurrence, optimal individualized treatments such as NAT can be considered. Future prospective studies are crucial to establish clear indications for NAT in RPC.

Objective: The coronavirus disease 2019 (COVID-19) pandemic disrupted healthcare systems worldwide, leading to increased mortality rates across various conditions. This study assessed the impact of COVID-19 on excess in-hospital mortality among emergency department patients and examined variations by community income levels, thereby highlighting socioeconomic disparities. Methods: This retrospective cross-sectional study used data from the National Emergency Department Information System in Korea. Cancer patients who visited emergency departments between January 27 and December 31 in 2019 (pre-COVID) and 2020 (during COVID) were included. The primary outcome was in-hospital mortality. The main exposure was the COVID-19 outbreak, with county per capita income tax serving as the interaction variable. The risk-adjusted in-hospital mortality rates were calculated. A multilevel linear regression model with an interaction term was used to estimate the difference-in-difference between the periods based on county income tax. Results: A total of 206,400 cancer patients were included 110,879 pre-COVID and 95,521 during COVID with an unadjusted in-hospital mortality rate of 1.0%. The risk-adjusted mortality rate was significantly higher during COVID than pre-COVID (1.2% vs. 0.9%, P<0.01). Using the highest socioeconomic status group (Q1) as the reference, the excess inhospital mortality odds during COVID were higher in Q3 (adjusted odds ratio [aOR], 1.32; 95% confidence interval [CI], 1.17-1.54) and Q4 (aOR, 1.43; 95% CI, 1.15-1.77). Conclusion The COVID-19 pandemic exacerbated in-hospital mortality disparities among cancer patients, imposing a greater burden on lower socioeconomic groups. These findings highlight the importance of implementing equitable healthcare strategies to protect vulnerable populations during health emergencies.

Purpose: Radical cystectomy (RC) is associated with substantial postoperative morbidity, and unplanned readmission remains common despite advances in perioperative management. However, the association between postoperative readmission due to complications and oncologic outcomes after RC for bladder cancer has not been clearly defined. We evaluated the impact of postoperative readmission on overall survival (OS) and cancer-specific survival (CSS) after RC for bladder cancer. Materials and Methods: We retrospectively analyzed 3,972 patients who underwent RC for bladder cancer in a multicenter cohort. Postoperative readmission was defined as unplanned hospitalization within 90 days postsurgery due to surgery-related complications. Survival outcomes were assessed using the Kaplan-Meier method and compared using the log-rank test. Univariable and multivariable Cox proportional hazards regression analyses were performed to identify independent predictors of OS and CSS. Results: Among the study population, 916 patients (23.1%) experienced postoperative readmission. Baseline and perioperative characteristics were generally comparable between patients with and without readmission. Kaplan-Meier analyses demonstrated significantly worse OS and CSS among patients who experienced postoperative readmission (both log-rank p<0.001). In multivariable analyses adjusting for clinicopathological factors, postoperative readmission remained independently associated with worse OS (hazard ratio [HR], 1.654; 95% confidence interval [CI], 1.464–1.868; p<0.001) and CSS (HR, 1.761; 95% CI, 1.509–2.055; p<0.001). Conclusion Postoperative readmission within 90 days after RC was independently associated with inferior long-term oncologic outcomes. These findings suggest the importance of strategies aimed at preventing postoperative complications and subsequent readmission.

Objective: We investigated the distribution of AI viruses in fecal samples from wild bird habitats (and nearby poultry-farm areas) surveyed between September and March from 2019 to 2025 and identified associated epidemiological risk factors. Methods: Samples were screened for influenza A (M, H5, H7) genes using real-time reverse transcription polymerase chain reaction (PCR), subjected to virus isolation in embryonated chicken eggs, and subtyped by PCR and sequencing. Host species were identified through DNA barcoding. Relative risks (RRs) with 95% confidence intervals were estimated for province, month, and waterfowl density. Results: Overall prevalence of HPAI and low pathogenic AI (LPAI) virus was 0.10% and 3.21%, respectively. HPAI virus was continuously isolated since 2020–2021, except 2019– 2020, while LPAI prevalence steadily increased (3.01%–4.35%). Twelve hemagglutinin (H1–H12) subtypes were identified in 1,722 isolates, and H3 (16.5%) was the most prevalent, followed by H5 (11.1%) and H7 (5.2%). LPAI H5N3 (55.7%) and H7N7 (75.5%) were the predominant H5 and H7 subtypes, respectively. Detection was higher in western coastal provinces, and higher mallard/spot-billed duck density and sampling in September– December were associated with increased risk. Conclusions and Relevance: Continued surveillance of migratory-bird habitats can provide early warning of HPAIV incursions and support targeted biosecurity measures in high-risk regions and seasons.

Background/Aims: Various expanded criteria (EC) for liver transplantation (LT) in patients with hepatocellular carcinoma (HCC) have been proposed to avoid the narrow nature of the Milan criteria (MC). To investigate which EC predicts more favorable outcomes in terms of overall survival (OS) and recurrence-free survival (RFS), we conducted a network meta-analysis (NMA). Methods: A database search was conducted on PubMed, Embase, and the Cochrane Library, to identify studies comparing OS and RFS between patients within the MC and those exceeding the MC but within the EC. Hazard ratios (HRs) were pooled using a random-effects NMA and validated in an in-house cohort of 1,008 LT recipients. Results: Among 22,466 articles identified, 35 studies with 45 pairwise comparisons were included in the NMA along with 8 different EC. The University of California San Francisco (HR, 1.43; 95% CI, 1.19–1.71), Up-to-Seven (HR, 1.50; 95% CI, 1.15–1.97), and Hangzhou criteria (HR, 1.69; 95% CI, 1.11–2.57) showed inferior OS to the MC. The MC ranked highest for both OS and RFS, followed by Metroticket 2.0 for OS and the Asan criteria for RFS. In the validation cohort, both Metroticket 2.0 and AFP model yielded more favorable HCC-specific mortality than other EC. Conclusions Several EC, of which those of Metroticket 2.0 were the best, yielded comparable outcomes to the MC. AFP-based EC such as Metroticket 2.0 and AFP model appeared to be useful in both the NMA and the validation cohort, suggesting a potential role in identifying selected low-risk patients beyond the MC.

Background: The significance of risk modification in patients with acute coronary syndrome (ACS) is well recognized; however, the optimal timing for adminstering PCSK9 inhibitors remains unclear. Additionally, the lipid-lowering efficacy of evolocumab and alirocumab has not been fully established. This study evaluated the lipid-lowering effects of these two PCSK9 inhibitors. Methods: Patients diagnosed with ACS, including unstable angina, ST-segment elevation myocardial infarction, and non-ST-segment elevation myocardial infarction, who were treated with a PCSK9 inhibitor (evolocumab or alirocumab) during hospitalization for ACS between 2021 and 2023 were retrospectively analyzed. Baseline low-density lipoprotein cholesterol (LDL-C) levels were assessed, and changes in LDL-C levels during the acute and subacute phases after PCSK9 inhibitor administration were compared between the evolocumab and alirocumab groups. Results: Among 80 patients diagnosed with ACS, 36 received evolocumab, while 44 were treated with alirocumab. The mean baseline LDL-C level was 123 mg/dL in the evolocumab group and 128 mg/dL in the alirocumab group (p=0.456). In the subacute phase, the mean follow-up LDL-C levels were 47.05 mg/dL in the evolocumab group and 49.5 mg/dL in the alirocumab group (p=0.585). The mean percentage reduction in LDL-C levels during the subacute phase was 60.41% in the evolocumab group and 58.51% in the alirocumab group (p=0.431). These differences were not statistically significant. Conclusions No significant differences were observed between evolocumab and alirocumab. LDL-C levels exhibited a similar trend, characterized by a rapid decline in the acute phase, followed by a slight rebound in the subacute phase.