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.

Anaplastic thyroid carcinoma (ATC) is a rare and highly aggressive malignancy typically associated with dismal outcomes. Most patients present with advanced disease, often precluding curative resection. We report a case of intrathyroidal ATC incidentally identified in a 72-year-old male who underwent diagnostic lobectomy for a low-suspicion, predominantly cystic huge thyroid nodule. Final pathology revealed a completely resected, intrathyroidal ATC without extrathyroidal extension. Postoperative imaging showed no evidence of residual or metastatic disease. Based on multidisciplinary discussion, the patient underwent completion thyroidectomy and central neck dissection without adjuvant therapy. No residual malignancy was identified, and the patient remains recurrence-free at six months. This case highlights that early-stage intrathyroidal ATC may present without overt malignant features and can be curatively treated with complete surgical excision. Careful evaluation and multidisciplinary decision-making are essential in managing rapidly enlarging thyroid nodules with atypical features.

Background/Aims: The kidneys and retina are highly vascularized organs that frequently exhibit shared pathologies, with nephropathy often associated with retinopathy. Previous studies have successfully predicted estimated glomerular filtration rates (eGFRs) using fundus photographs. We evaluated the performance of the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas in eGFR prediction. Methods: We enrolled patients with fundus photographs and corresponding creatinine measurements taken on the same date. One photograph per eye was randomly selected, resulting in a final dataset of 45,108 patients (88,260 photographs). Data including sex, age, and blood creatinine levels were collected for eGFR calculation using the MDRD and CKD-EPI formulas. EfficientNet B3 models were used to predict each parameter. Results: Deep neural network models accurately predicted age and sex using fundus photographs. Sex was identified as a confounding variable in creatinine prediction. The MDRD formula was more susceptible to this confounding effect than the CKD-EPI formula. Notably, the CKD-EPI formula demonstrated superior performance compared to the MDRD formula (area under the curve 0.864 vs. 0.802). Conclusions Fundus photographs are a valuable tool for screening renal function using deep neural network models, demonstrating the role of noninvasive imaging in medical diagnostics. However, these models are susceptible to the influence of sex, a potential confounding factor. The CKD-EPI formula, less susceptible to sex bias, is recommended to obtain more reliable results.

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.

Anaplastic thyroid carcinoma (ATC) is a rare and highly aggressive malignancy typically associated with dismal outcomes. Most patients present with advanced disease, often precluding curative resection. We report a case of intrathyroidal ATC incidentally identified in a 72-year-old male who underwent diagnostic lobectomy for a low-suspicion, predominantly cystic huge thyroid nodule. Final pathology revealed a completely resected, intrathyroidal ATC without extrathyroidal extension. Postoperative imaging showed no evidence of residual or metastatic disease. Based on multidisciplinary discussion, the patient underwent completion thyroidectomy and central neck dissection without adjuvant therapy. No residual malignancy was identified, and the patient remains recurrence-free at six months. This case highlights that early-stage intrathyroidal ATC may present without overt malignant features and can be curatively treated with complete surgical excision. Careful evaluation and multidisciplinary decision-making are essential in managing rapidly enlarging thyroid nodules with atypical features.