The Hippo-YAP/TEAD pathway plays a central role in melanoma progression by regulating tumor cell proliferation, survival, and migration. Using a NanoLuc Binary Technology (NanoBiT) protein-protein interaction assay, we screened honokiol-based small molecules and identified several analogues that disrupt the YAP-TEAD interaction. HK03 was the most effective analogue, leading to a pronounced reduction in Cyr61 levels and diminished Erk and Akt phosphorylation in B16-F10 melanoma cells. HK03 also blocked epithelial–mesenchymal transition (EMT) and impaired melanoma cell migration in wound-healing assays. In vivo, HK03 treatment markedly reduced metastatic burden in a B16-F10 lung metastasis model. These findings suggest that honokiol derivatives, particularly HK03, represent potential lead compounds for targeting the YAP-TEAD axis in melanoma therapy.

Objectives: . Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that is strongly influenced by obesity, the most important modifiable risk factor. Effective weight management is therefore essential for optimal OSA care. This guideline provides updated, evidence-based recommendations for the evaluation and management of obesity in adults with OSA, incorporating recent advances in lifestyle, pharmacologic, and surgical interventions. Methods: . The Korean Society of Sleep and Breathing convened a multidisciplinary panel. A systematic literature search was performed across major databases through 2025. Evidence was appraised using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, and recommendations were formulated by consensus using the Evidence-to-Decision framework. Results: . Eight statements were developed. Key recommendations include recognizing obesity as a major risk factor; routinely assessing overweight and obesity; and implementing structured weight reduction through diet, exercise, and behavioral therapy. Glucagon-like peptide-1 receptor agonists are recommended when lifestyle interventions are insufficient, and bariatric/metabolic surgery is advised for severe obesity unresponsive to nonsurgical treatment. Weight loss improves the apnea-hypopnea index, symptoms, and cardiometabolic markers and may reduce positive airway pressure needs. Continued follow-up is recommended even after clinical improvement. Conclusion . Weight management is a core component of OSA treatment. This guideline offers practical, evidence-based strategies to support clinicians in delivering effective, obesity-focused care for adults with OSA.

The two main categories of benign fibro-osseous lesions are ossifying fibroma and fibrous dysplasia. Both entities occur infrequently in the sinonasal tract. Fibro-osseous lesions involving the nasal turbinates, in particular, are extremely rare. A 19-year-old woman presented with chronic nasal obstruction and purulent rhinorrhea and was diagnosed with fibrous dysplasia involving the inferior turbinate. A 16-year-old boy presented with similar symptoms and was diagnosed with ossifying fibroma involving the middle turbinate. Both patients underwent endoscopic endonasal resection. Postoperatively, symptoms improved, and no recurrence was observed during followup. These cases highlight the rarity of turbinate involvement and suggest that endoscopic endonasal surgery is an effective treatment option.

With a focus on novice researchers, it aims to clarify how artificial intelligence (AI) can support research design and may lower barriers to research participation while emphasizing the continuing importance of human judgment in study conception and interpretation.Current concepts: Traditional medical research training has emphasized methodological theory, statistical techniques, and mentor–mentee instruction. However, these approaches often present substantial challenges for novice researchers. Time constraints, limited access to data, and the need to learn unfamiliar methodologies further contribute to these difficulties. Recent advances in AI enable the rapid synthesis of large volumes of information and structured exploration of research questions. AI also facilitates the organization of study frameworks. These tools may help structure research designs that are less dependent on patient-level data. Examples include social media studies, narrative reviews, and qualitative analyses.Discussion and conclusion: AI has the potential to reshape research design education by functioning as a cognitive support tool. It can help novice researchers formulate meaningful questions, select appropriate study designs, and interpret findings. However, responsible use requires explicit attention to explainability, methodological rigor, and ethical standards. Significant limitations include AI’s dependence on available data, its inability to independently verify information, and the risk of generating misleading suggestions when prompts are poorly constructed. Clear guidance regarding the appropriate scope and limitations of AI-assisted research design is essential. When used appropriately, AI may broaden participation in medical research, enhance research literacy, and support the development of sustainable research skills among clinicians and medical trainees.

This study is a convergence study that empirically verifies the principles of the Hunminjeongeum Joongsung-Ja (中聲字, vowel) system, especially the principles of the pictorial patterns of the initial and re-involved characters, using magnetic resonance imaging (MRI). According to the principle stated in the Jejahae (制字解) of the Hunminjeongeum Haeryebon—that “the 28 characters of Jeongeum were each modeled after their shapes”—this study aimed to prove that all characters were devised to reflect the shape of the vocal tract when pronounced. Four participants, including both younger and older adults including both sexes were enrolled in this study, and real-time MRI scans and acoustic analysis were conducted. In the analysis of the Cho-Chul-Ja (初出字, /ㅗ, ㅏ, ㅜ, ㅓ/), clear differences were observed in the structure of the vocal tract and the shape of the resonance cavity according to the vowels, and the degree of lip opening and the length of the vocal tract showed a close relationship with the acoustic characteristics of each vowel. In the Jae-Chul-Ja (再出字, /ㅛ, ㅑ, ㅠ, ㅕ/), changes in the shape of the resonance cavity were observed along with changes in tongue movement and lip opening during diphthong utterances, and it was confirmed that this is directly related to acoustic characteristics. The results of this study confirmed that the principle of the Hunminjeongeum Joongsung-Ja (中聲字, vowel) is closely related to the form of resonance cavity in the actual articulation process. It was confirmed that it was created by the synthesis (Hapsung, 合成) of the three letters “Cheon-ji-in (天地人, /•, ㅡ, ㅣ/)”, and it was also confirmed that the pictorial principles of the first and second versions are based on the shape and movement of the resonance tube. It is significant in that it re-examines the scientific sophistication of the vowel system devised during the creation of Hunminjeongeum in the 15th century with modern technology. This shows that Hunminjeongeum is not just a philosophical symbol, but a writing system that reflects the anatomical structure and physiological movements of actual speech organs.

Background: Left bundle branch block (LBBB) significantly increases the risk of left ventricular systolic dysfunction (LVSD) due to cardiac dyssynchrony. Although artificial intelligence–enabled electrocardiography (AI-ECG) mod‑ els show promise in detecting LVSD, their performance in LBBB patients remains underexplored. We hypothesized that an AI-ECG model clinically validated for detecting LVSD would accurately detect LVSD and predict future clinical outcomes in LBBB patients. Methods: In this retrospective multicenter study, 5,689 expert-validated LBBB ECGs collected from 2,813 patients between 2016 and 2024 were analyzed using a previously developed and validated AI-ECG model. LVSD was defined as an ejection fraction of ≤ 40%. Model performance was assessed using the area under the receiver operating char‑ acteristic curve (AUROC), the area under the precision-recall curve (AUPRC), sensitivity, and specificity. Patients were stratified into high- and low-risk groups based on a threshold that achieved 90% sensitivity. A Kaplan–Meier analysis was used to compare clinical outcomes. Results: Among the 2,813 LBBB patients (mean age, 70.7 years; male sex, 43.7%), hypertension and a history of heart failure were common. The AiTiALVSD model showed strong diagnostic performance for LVSD (AUROC, 0.930 [95% CI, 0.924–0.937]; AUPRC, 0.913 [95% CI, 0.902–0.923]; sensitivity, 0.979; specificity, 0.473). During the mean follow-up of 4.1 years, high-risk patients had significantly higher hazards than low-risk patients for all-cause mortality (adjusted hazard ratio [HR], 1.87; 95% CI, 1.53–2.28), implantable cardioverter defibrillator/cardiac resynchronization therapy implantation (adjusted HR, 15.2; 95% CI, 7.51–30.77), and cardiovascular hospitalization (adjusted HR, 1.11; 95% CI, 0.96–1.28). Conclusions AiTiALVSD effectively detects LVSD and stratifies long-term cardiovascular risk in LBBB patients, support‑ ing its clinical utility for early detection and patient management.

Naturally occurring compounds have widely been applied to treat diverse pharmacological effects, including asthma, allergic diseases, antioxidants, inflammation, antibiotics, and cancer. Recent research has revealed the essential role of the thymic stromal lymphopoietin (TSLP) in regulating inflammatory responses at mucosal barriers and maintaining immune homeostasis. Asthma, inflammation, and chronic obstructive pulmonary disease are allergic disorders in which TSLP plays a significant role. Although TSLP’s role in type 2 immune responses has undergone comprehensive investigation, its involvement in inflammatory diseases and cancer has also been found to be expanding. However, investigating how to block the TSLP pathway using natural products has been limited. This paper summarizes the roles of various medicinal plants and their chemical components that effectively inhibit the TSLP pathway. In addition, we also highlight the contributions of several plant-derived compounds to treat allergic diseases via targeting TSLP. This review intends to offer innovative concepts to scientists investigating the use of naturally produced compounds and extracts for the treatment of allergic illnesses.

Background: Although the presence of both obesity and reduced muscle mass presents a dual metabolic burden and additively has a negative effect on a variety of cardiometabolic parameters, data regarding the associations between their combined effects and left ventricular diastolic function are limited. This study investigated the association between the ratio of skeletal muscle mass to visceral fat area (SVR) and left ventricular diastolic dysfunction (LVDD) in patients with preserved ejection fraction using random forest machine learning. Methods: In total, 1,070 participants with preserved left ventricular ejection fraction who underwent comprehensive health examinations, including transthoracic echocardiography and bioimpedance body composition analysis, were enrolled. SVR was calculated as an index of sarcopenic obesity by dividing the appendicular skeletal muscle mass by the visceral fat area. Results: In the random forest model, age and SVR were the most powerful predictors of LVDD. Multivariate logistic regression analysis demonstrated that older age (adjusted odds ratio [OR], 1.11; 95% confidence interval [CI], 1.07 to 1.15) and lower SVR (adjusted OR, 0.08; 95% CI, 0.01 to 0.57) were independent risk factors for LVDD.SVR showed a significant improvement in predictive performance and fair predictability for LVDD, with the highest area under the curve noted in both men and women, with statistical significance. In non-obese and metabolically healthy individuals, the lowest SVR tertile was associated with a greater risk of LVDD compared to the highest SVR tertile. Conclusion Decreased muscle mass and increased visceral fat were significantly associated with LVDD compared to obesity, body fat composition, and body muscle composition indices.

Chronic inflammatory demyelinating polyneuropathy (CIDP) is a chronic autoimmune disease of the peripheral nervous system, primarily treated with corticosteroids and intravenous immunoglobulin as first-line therapies. Early treatment yields better outcome before nerve damage caused by the immune response. Once axonal damage has progressed, immunotherapy becomes ineffective, making early intervention crucial. Additionally, as treatment responses vary among patients, it is essential to assess treatment efficacy objectively and tailor therapy accordingly. Since there are currently no biomarkers that accurately reflect disease status, regular physical examinations are necessary to evaluate treatment effectiveness and adjust maintenance therapy. This review outlines the current clinical guidelines for the treatment of CIDP and explores emerging therapeutic options, including neonatal Fc receptor inhibitors and complement pathway inhibitors.

Background: Although the presence of both obesity and reduced muscle mass presents a dual metabolic burden and additively has a negative effect on a variety of cardiometabolic parameters, data regarding the associations between their combined effects and left ventricular diastolic function are limited. This study investigated the association between the ratio of skeletal muscle mass to visceral fat area (SVR) and left ventricular diastolic dysfunction (LVDD) in patients with preserved ejection fraction using random forest machine learning. Methods: In total, 1,070 participants with preserved left ventricular ejection fraction who underwent comprehensive health examinations, including transthoracic echocardiography and bioimpedance body composition analysis, were enrolled. SVR was calculated as an index of sarcopenic obesity by dividing the appendicular skeletal muscle mass by the visceral fat area. Results: In the random forest model, age and SVR were the most powerful predictors of LVDD. Multivariate logistic regression analysis demonstrated that older age (adjusted odds ratio [OR], 1.11; 95% confidence interval [CI], 1.07 to 1.15) and lower SVR (adjusted OR, 0.08; 95% CI, 0.01 to 0.57) were independent risk factors for LVDD.SVR showed a significant improvement in predictive performance and fair predictability for LVDD, with the highest area under the curve noted in both men and women, with statistical significance. In non-obese and metabolically healthy individuals, the lowest SVR tertile was associated with a greater risk of LVDD compared to the highest SVR tertile. Conclusion Decreased muscle mass and increased visceral fat were significantly associated with LVDD compared to obesity, body fat composition, and body muscle composition indices.